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Plants, Volume 11, Issue 11 (June-1 2022) – 137 articles

Cover Story (view full-size image): Plant breeding programs are faced with the need to develop solutions to maintain both crop growth and yields, within deteriorating agricultural environments. The plant vascular system mediates resource allocation, between source and sink tissues, and establishes hierarchical signaling networks to regulate adaptive plant development occurring within dynamic environmental changes. Recent studies have revealed the impact of plant vasculature-mediated communication on regulating critical agronomic traits, highly correlated with crop yield potential. This review article discusses the importance of systemic regulation, mediated by the plant’s vasculature, in photosynthesis and resource allocation, and offers insights into pathways for crop yield enhancement, by engineering source–sink strength. View this paper
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15 pages, 4862 KiB  
Article
Potential Roles of 1-Aminocyclopropane-1-carboxylic Acid Synthase Genes in the Response of Gossypium Species to Abiotic Stress by Genome-Wide Identification and Expression Analysis
by Jie Li, Xianyan Zou, Guoquan Chen, Yongming Meng, Qi Ma, Quanjia Chen, Zhi Wang and Fuguang Li
Plants 2022, 11(11), 1524; https://doi.org/10.3390/plants11111524 - 6 Jun 2022
Cited by 9 | Viewed by 2473
Abstract
Ethylene plays a pivotal role in plant stress resistance and 1-aminocyclopropane-1-carboxylic acid synthase (ACS) is the rate-limiting enzyme in ethylene biosynthesis. Upland cotton (Gossypium hirsutum L.) is the most important natural fiber crop, but the function of ACS in response to abiotic [...] Read more.
Ethylene plays a pivotal role in plant stress resistance and 1-aminocyclopropane-1-carboxylic acid synthase (ACS) is the rate-limiting enzyme in ethylene biosynthesis. Upland cotton (Gossypium hirsutum L.) is the most important natural fiber crop, but the function of ACS in response to abiotic stress has rarely been reported in this plant. We identified 18 GaACS, 18 GrACS, and 35 GhACS genes in Gossypiumarboreum, Gossypium raimondii and Gossypiumhirsutum, respectively, that were classified as types I, II, III, or IV. Collinearity analysis showed that the GhACS genes were expanded from diploid cotton by the whole-genome-duplication. Multiple alignments showed that the C-terminals of the GhACS proteins were conserved, whereas the N-terminals of GhACS10 and GhACS12 were different from the N-terminals of AtACS10 and AtACS12, probably diverging during evolution. Most type II ACS genes were hardly expressed, whereas GhACS10/GhACS12 were expressed in many tissues and in response to abiotic stress; for example, they were highly and hardly expressed at the early stages of cold and heat exposure, respectively. The GhACS genes showed different expression profiles in response to cold, heat, drought, and salt stress by quantitative PCR analysis, which indicate the potential roles of them when encountering the various adverse conditions, and provide insights into GhACS functions in cotton’s adaptation to abiotic stress. Full article
(This article belongs to the Special Issue Molecular Mechanism of Resistance to Stress in Cotton)
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Figure 1

Figure 1
<p>Phylogeny relationship of the ACS proteins in cotton and other species. The neighbor-joining phylogenetic tree was constructed based on a multiple sequences alignment of 88 ACS protein sequences from five species including <span class="html-italic">G. hirsutum</span> (GhACS), <span class="html-italic">G. arboreum</span> (GaACS), <span class="html-italic">G. raimondii</span> (GrACS), <span class="html-italic">Oryza sativa</span> (OsACS), and <span class="html-italic">A</span><span class="html-italic">. thaliana</span> (AtACS), with 1000 bootstraps and model of <span class="html-italic">p</span>-distance, in which the ACS proteins family was divided into four subgroups. The different colored shapes: red triangle, blue diamond, green inverted triangle, purple circle, and orange square were used to indicate <span class="html-italic">G. hirsutum</span>, <span class="html-italic">G. arboreum</span>, G. raimondii, <span class="html-italic">A. thaliana</span>, and <span class="html-italic">O. sativa</span>, respectively.</p>
Full article ">Figure 2
<p>Comparison of the N-terminal and C-terminal domains in ACS proteins: (<b>a</b>) Multiple sequences alignment of GhACS proteins by ClustalW. The C-terminal sequences are shown. The rectangles indicate the conserved BOX7, CDPK, and MAPK motifs. (<b>b</b>) Multiple sequences alignment of the type III and IV GhACS proteins by ClustalW. The N-terminal sequences are shown. The black boxes indicate the conserved short XBAT32 regions. Possible phosphorylation sites (Ser/Thr) are in bold font. Amino acid differences between the GhACS and AtACS proteins are highlighted using different colors.</p>
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<p>Chromosomal localization of the <span class="html-italic">GhACS</span> genes. Thirty-three of the 35 <span class="html-italic">GhACS</span> genes were localized to upland cotton chromosome regions; the other two, <span class="html-italic">Gh_AACS6.3</span> and <span class="html-italic">Gh_DACS6.3</span>, were localized to scaffolds. Lines indicate segmental duplications of the <span class="html-italic">GhACS</span> genes. Genes linked by same color line are paralogous genes pairs.</p>
Full article ">Figure 4
<p>Conserved motifs in the GhACS proteins and exon–intron structure of the <span class="html-italic">GhACS</span> genes.</p>
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<p>Circos map of 134 homologous <span class="html-italic">ACS</span> gene pairs among <span class="html-italic">G. arboreum</span>, <span class="html-italic">G. raimondii</span>, and <span class="html-italic">G. hirsutum</span>.</p>
Full article ">Figure 6
<p>Distribution of Ka:Ks ratios between homologous gene pairs among <span class="html-italic">G. arboreum</span>, <span class="html-italic">G. raimondii</span>, and <span class="html-italic">G. hirsutum</span>. The Ka:Ks ratios of <span class="html-italic">ACS</span> gene pairs between <span class="html-italic">G. arboreum</span> and <span class="html-italic">G. hirsutum</span> (abscissa A), between <span class="html-italic">G. raimondii</span> and <span class="html-italic">G. hirsutum</span> (abscissa B), and in the <span class="html-italic">G. hirsutum</span> genome (abscissa C) are shown. The pentagrams, suqares, asterisk and long lines in boxes represented the outliers, means, minimum vaules and median line in each group of the Ka:Ks ratios, respectively; Boxes represented the 25%~75% range of the Ka:Ks ratios; The two short lines up and down represent range within 1.5 interquatile range.</p>
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<p>Tissue-specific expression patterns of the <span class="html-italic">GhACS</span> genes. The heatmap shows the expression levels of <span class="html-italic">GhACS</span> genes in 22 tissues, including root, stem, leaf, torus, petal, stamen, pistil, calycle, ovules, and fibers, at different development stages.</p>
Full article ">Figure 8
<p>Expression patterns of the <span class="html-italic">GhACS</span> genes in response to abiotic stresses. The heatmap shows the expression changes of <span class="html-italic">ACS</span> genes in <span class="html-italic">G</span>. <span class="html-italic">hirsutum</span> under cold, hot, drought, and salt stress at different exposure times.</p>
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<p>Expression levels of <span class="html-italic">GhACS</span> genes under cold, heat, drought, and salt stresses at different times by quantitative PCR analysis.</p>
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15 pages, 2285 KiB  
Article
Preconditioning to Water Deficit Helps Aloe vera to Overcome Long-Term Drought during the Driest Season of Atacama Desert
by José P. Delatorre-Castillo, José Delatorre-Herrera, Kung Sang Lay, Jorge Arenas-Charlín, Isabel Sepúlveda-Soto, Liliana Cardemil and Enrique Ostria-Gallardo
Plants 2022, 11(11), 1523; https://doi.org/10.3390/plants11111523 - 6 Jun 2022
Cited by 7 | Viewed by 3092
Abstract
Throughout evolution, plants have developed different strategies of responses and adaptations that allow them to survive in different conditions of abiotic stress. Aloe vera (L.) Burm.f. is a succulent CAM plant that can grow in warm, semi-arid, and arid regions. Here, we tested [...] Read more.
Throughout evolution, plants have developed different strategies of responses and adaptations that allow them to survive in different conditions of abiotic stress. Aloe vera (L.) Burm.f. is a succulent CAM plant that can grow in warm, semi-arid, and arid regions. Here, we tested the effects of preconditioning treatments of water availability (100, 50, and 25% of soil field capacity, FC) on the response of A. vera to prolonged drought growing in the hyper-arid core of the Atacama Desert. We studied leaf biomass, biochemical traits, and photosynthetic traits to assess, at different intervals of time, the effects of the preconditioning treatments on the response of A. vera to seven months of water deprivation. As expected, prolonged drought has deleterious effects on plant growth (a decrease of 55–65% in leaf thickness) and photosynthesis (a decrease of 54–62% in Emax). There were differences in the morphophysiological responses to drought depending on the preconditioning treatment, the 50% FC pretreatment being the threshold to better withstand prolonged drought. A diurnal increase in the concentration of malic acid (20–30 mg mg−1) in the points where the dark respiration increased was observed, from which it can be inferred that A. vera switches its C3-CAM metabolism to a CAM idling mode. Strikingly, all A. vera plants stayed alive after seven months without irrigation. Possible mechanisms under an environmental context are discussed. Overall, because of a combination of morphophysiological traits, A. vera has the remarkable capacity to survive under severe and long-term drought, and further holistic research on this plant may serve to produce biotechnological solutions for crop production under the current scenario of climatic emergency. Full article
(This article belongs to the Special Issue Water Use Strategy of Plants in Arid Regions)
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Figure 1
<p>Aerial view of the study site (20° 26′ 37.74″ S, 69° 32′ 09.50″ W) with a schematic representation of the 250 m<sup>2</sup> field experiment and a close-up of the experimental units analyzed in this study (details of the experimental design are in the <a href="#sec4-plants-11-01523" class="html-sec">Section 4</a>).</p>
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<p>Box plots showing the changes in thickness and weight of the adaxial (<b>A</b>,<b>D</b>) and abaxial (<b>B</b>,<b>E</b>) portions of the chlorenchyma, and for the central hydrenchyma (<b>C</b>,<b>F</b>) in the function of the days with water deprivation (DWD). The central line and black dot within each box represent the average and the median. Vertical lines of the boxes indicate the upper and lower limits. Small dots outside the boxes represent extreme values. Red, blue, and yellow colors represent the values for plants preconditioned at 25, 50, and 100% of field capacity of the soil (% FC), respectively. Asterisk indicates significant differences between DWD at <span class="html-italic">p</span> ≤ 0.05. Different letters indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) between preconditioning treatments within a given period of water deprivation.</p>
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<p>Bar chart showing the changes in (<b>A</b>). Proline content and (<b>B</b>). MDA content, in functions of the days with water deprivation (DWD). Bars correspond to the average value of each parameter, and the vertical lines indicate the standard error. Red, blue, and yellow colors represent the values for plants preconditioned at 25, 50, and 100% of field capacity of the soil (%FC), respectively. Asterisk indicates significant differences between DWD at <span class="html-italic">p</span> ≤ 0.05. n.d. denotes non-significant differences.</p>
Full article ">Figure 4
<p>Light-responses curves for the rate of photosynthetic oxygen evolution of <span class="html-italic">A. vera</span> plants, previously preconditioned at 100 (<b>A</b>–<b>C</b>), 50 (<b>D</b>–<b>F</b>), and 25 (<b>G</b>–<b>I</b>) % of FC, at different intervals of time during the water deprivation experiment.</p>
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<p>Box plots showing the changes of (<b>A</b>) light compensation and (<b>B</b>) light saturation points during the experiment of water deprivation (DWD). Lines, dots, and colors of each box correspond to what was previously indicated in <a href="#plants-11-01523-f002" class="html-fig">Figure 2</a>. Asterisk indicates significant differences between DWD at <span class="html-italic">p</span> ≤ 0.05. Different letters indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) between preconditioning treatments within a given period of water deprivation.</p>
Full article ">Figure 6
<p>Box plots showing the changes in (<b>A</b>) apparent quantum yield (AQY); (<b>B</b>) photosynthetic capacity (O<sub>2</sub> evolution); and (<b>C</b>) dark respiration (Rd), in the function of the days under water deprivation (DWD). Asterisk indicates significant differences between DWD at <span class="html-italic">p</span> ≤ 0.05. Different letters indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) between preconditioning treatments within a given period of water deprivation. Lines, dots, and colors of each box correspond to what was previously indicated in <a href="#plants-11-01523-f002" class="html-fig">Figure 2</a>.</p>
Full article ">Figure 7
<p>(<b>A</b>) Box plots showing the changes in malic acid content in the function of the days under water deprivation (DWD). Asterisk indicates significant differences between DWD at <span class="html-italic">p</span> ≤ 0.05. Different letters indicate significant differences (<span class="html-italic">p</span> ≤ 0.05) between preconditioning treatments within a given period of water deprivation. (<b>B</b>) Changes in daily malic acid evolution at a given interval of time under water deprivation. Lines, dots, and colors of each box correspond to what was previously indicated in <a href="#plants-11-01523-f002" class="html-fig">Figure 2</a>.</p>
Full article ">Figure A1
<p>Linear regression between Light compensation and saturation points (large plot of the left). Small plots of the right show the linear regression between light compensation and saturation points within a specific day of water deprivation (i.e., 88, 118, and 222 DWD).</p>
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<p>Linear regression between Emax (<b>left</b>) and Rd (<b>right</b>) with AQY.</p>
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16 pages, 8299 KiB  
Article
Genetic Variation and Genotype by Environment Interaction for Agronomic Traits in Maize (Zea mays L.) Hybrids
by Mohammad Ashraful Alam, Marufur Rahman, Salahuddin Ahmed, Nasrin Jahan, Mohammad Al-Amin Khan, Mohammad Rafiqul Islam, Amnah Mohammed Alsuhaibani, Ahmed Gaber and Akbar Hossain
Plants 2022, 11(11), 1522; https://doi.org/10.3390/plants11111522 - 6 Jun 2022
Cited by 16 | Viewed by 3734
Abstract
In order to develop high-yielding genotypes of adapted maize, multilocation trials of maize were performed including forty-five maize hybrids exploiting genetic variability, trait associations, and diversity. The experiments were laid out in an RCB design and data were recorded on eight yield and [...] Read more.
In order to develop high-yielding genotypes of adapted maize, multilocation trials of maize were performed including forty-five maize hybrids exploiting genetic variability, trait associations, and diversity. The experiments were laid out in an RCB design and data were recorded on eight yield and yield-contributing traits, viz., days to anthesis (AD), days to silking (SD), anthesis–silking interval (ASI), plant height (PH), ear height (EH), kernels per ear (KPE), thousand-kernel weight (TKW), and grain yield (GY). An analysis of variance (ANOVA) showed significant variation present among the different traits under study. The phenotypic coefficient of variance (PCV) showed a higher value than the genotypic coefficient of variance (GCV), indicating the environmental influence on the expression of the traits. High heritability coupled with high genetic advance was found for these traits, indicative of additive gene action. The trait associations showed that genotypic correlation was higher than phenotypic correlation. Based on genetic diversity, the total genotypes were divided into four clusters, and the maximum number of 16 genotypes was found in cluster IV. Among the eight yield and yield-contributing traits, PH, ASI, EH, and TKW were the important traits for variability creation and were mostly responsible for yield. Genotypes G5, G8, G27, G29, and G42 were in the top ranks based on grain yield over locations, while a few others showed region-centric performances; all these genotypes can be recommended upon validation for commercial release. The present findings show the existence of proper genetic variability and divergence among traits, and the identified traits can be used in a maize improvement program. Full article
(This article belongs to the Special Issue 10th Anniversary of Plants—Recent Advances and Perspectives)
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Figure 1
<p>Graph displaying contributions of different traits to the grain yield variation.</p>
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<p>Dendrogram showing the grouping of genotypes based on AD, ASI, PH, KPE, TKW, and GY traits of all locations.</p>
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<p>Dendrogram showing clustering of different traits (<b>left</b>); position of different traits depicted on biplot from principal component analysis of combined data.</p>
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15 pages, 308 KiB  
Article
Legumes of the Sardinia Island: Knowledge on Symbiotic and Endophytic Bacteria and Interactive Software Tool for Plant Species Determination
by Rosella Muresu, Andrea Porceddu, Giuseppe Concheri, Piergiorgio Stevanato and Andrea Squartini
Plants 2022, 11(11), 1521; https://doi.org/10.3390/plants11111521 - 6 Jun 2022
Cited by 5 | Viewed by 2172
Abstract
A meta-analysis was carried out on published literature covering the topic of interactive plant microbiology for botanical species of legumes occurring within the boundary of the Italian island Sardinia, lying between the Tyrrhenian and the western Mediterranean seas. Reports were screened for the [...] Read more.
A meta-analysis was carried out on published literature covering the topic of interactive plant microbiology for botanical species of legumes occurring within the boundary of the Italian island Sardinia, lying between the Tyrrhenian and the western Mediterranean seas. Reports were screened for the description of three types of bacterial occurrences; namely, (a) the nitrogen-fixing symbionts dwelling in root nodules; (b) other bacteria co-hosted in nodules but having the ancillary nature of endophytes; (c) other endophytes isolated from different non-nodular portions of the legume plants. For 105 plant species or subspecies, over a total of 290 valid taxonomical descriptions of bacteria belonging to either one or more of these three categories were found, yielding 85 taxa of symbionts, 142 taxa of endophytes in nodules, and 33 in other plant parts. The most frequent cases were within the Medicago, Trifolium, Lotus, Phaseolus, and Vicia genera, the majority of symbionts belonged to the Rhizobium, Mesorhizobium, Bradyrhizobium, and Sinorhizobium taxa. Both nodular and extra-nodular endophytes were highly represented by Gammaproteobacteria (Pseudomonas, Enterobacter, Pantoea) and Firmicutes (Bacillus, Paenibacillus), along with a surprisingly high diversity of the Actinobacteria genus Micromonospora. The most plant-promiscuous bacteria were Sinorhizobium meliloti as symbiont and Bacillus megaterium as endophyte. In addition to the microbial analyses we introduce a practical user-friendly software tool for plant taxonomy determination working in a Microsoft Excel spreadsheet that we have purposely elaborated for the classification of legume species of Sardinia. Its principle is based on subtractive keys that progressively filter off the plants that do not comply with the observed features, eventually leaving only the name of the specimen under examination. Full article
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Graphical abstract
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21 pages, 2924 KiB  
Article
Respiratory and Photosynthetic Responses of Antarctic Vascular Plants Are Differentially Affected by CO2 Enrichment and Nocturnal Warming
by Carolina Sanhueza, Daniela Cortes, Danielle A. Way, Francisca Fuentes, Luisa Bascunan-Godoy, Nestor Fernandez Del-Saz, Patricia L. Sáez, León A. Bravo and Lohengrin A. Cavieres
Plants 2022, 11(11), 1520; https://doi.org/10.3390/plants11111520 - 6 Jun 2022
Cited by 5 | Viewed by 2480
Abstract
Projected rises in atmospheric CO2 concentration and minimum night-time temperatures may have important effects on plant carbon metabolism altering the carbon balance of the only two vascular plant species in the Antarctic Peninsula. We assessed the effect of nocturnal warming (8/5 °C [...] Read more.
Projected rises in atmospheric CO2 concentration and minimum night-time temperatures may have important effects on plant carbon metabolism altering the carbon balance of the only two vascular plant species in the Antarctic Peninsula. We assessed the effect of nocturnal warming (8/5 °C vs. 8/8 °C day/night) and CO2 concentrations (400 ppm and 750 ppm) on gas exchange, non-structural carbohydrates, two respiratory-related enzymes, and mitochondrial size and number in two species of vascular plants. In Colobanthus quitensis, light-saturated photosynthesis measured at 400 ppm was reduced when plants were grown in the elevated CO2 or in the nocturnal warming treatments. Growth in elevated CO2 reduced stomatal conductance but nocturnal warming did not. The short-term sensitivity of respiration, relative protein abundance, and mitochondrial traits were not responsive to either treatment in this species. Moreover, some acclimation to nocturnal warming at ambient CO2 was observed. Altogether, these responses in C. quitensis led to an increase in the respiration-assimilation ratio in plants grown in elevated CO2. The response of Deschampsia antarctica to the experimental treatments was quite distinct. Photosynthesis was not affected by either treatment; however, respiration acclimated to temperature in the elevated CO2 treatment. The observed short-term changes in thermal sensitivity indicate type I acclimation of respiration. Growth in elevated CO2 and nocturnal warming resulted in a reduction in mitochondrial numbers and an increase in mitochondrial size in D. antarctica. Overall, our results suggest that with climate change D. antarctica could be more successful than C. quitensis, due to its ability to make metabolic adjustments to maintain its carbon balance. Full article
(This article belongs to the Special Issue Antarctic Plants Responses to Abiotic Stress)
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Figure 1
<p>Net CO<sub>2</sub> assimilation rate measured at saturating light and 400 ppm of CO<sub>2</sub> (A<sub>sat</sub>), stomatal conductance (<span class="html-italic">gs</span>) and foliar leaf carbon balance (R/A) for <span class="html-italic">C. quitensis</span> (<b>A</b>,<b>C</b>,<b>E</b>) and <span class="html-italic">D. antarctica</span> (<b>B</b>,<b>D</b>,<b>F</b>). Treatments correspond to AC (ambient CO<sub>2</sub>, control thermoperiod; white bar empty), AW (ambient CO<sub>2</sub>, warming thermoperiod; white bar hashed), EC (elevated CO<sub>2</sub>, control thermoperiod; grey bar), and EW (elevated CO<sub>2</sub>, warming thermoperiod; grey bar hashed). Values are means ± SEM (<span class="html-italic">n</span> = 5). For each graph, the effect of thermoperiod (T), CO<sub>2</sub> environment (CO<sub>2</sub>), and the interaction of thermoperiod and CO<sub>2</sub> (T x CO<sub>2</sub>), ns indicates no significance difference, * indicates <span class="html-italic">p</span> ≤ 0.05, ** indicates <span class="html-italic">p</span> ≤ 0.01, and *** indicates <span class="html-italic">p</span> ≤ 0.001. The factor with the largest effect size is indicated in bold.</p>
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<p>Sensitivity parameters of dark respiration calculated using the Arrhenius equation for both Antarctic species. R<sub>10</sub> is respiration at 10°C, E<sub>0</sub> is a modelled parameter related to the energy of activation, and Q<sub>10</sub> denotes the relative change in respiration with a 10°C change for <span class="html-italic">C. quitensis</span> (<b>A</b>,<b>C</b>,<b>E</b>) and <span class="html-italic">D. antarctica</span> (<b>B</b>,<b>D</b>,<b>F</b>). Treatments correspond to AC (ambient CO<sub>2</sub>, control thermoperiod; white bar empty), AW (ambient CO<sub>2</sub>, warming thermoperiod; white bar hashed), EC (elevated CO<sub>2</sub>, control thermoperiod; grey bar), and EW (elevated CO<sub>2</sub>, warming thermoperiod; grey bar hashed). The acclimation degree was calculated as Acclim<sub>set-temp</sub> = R<sub>control</sub>/R<sub>warming</sub> at ambient and elevated CO<sub>2</sub> for <span class="html-italic">C. quitensis</span> (<b>G</b>) and <span class="html-italic">D. antarctica</span> (<b>H</b>). Values are means ± SEM (<span class="html-italic">n</span> = 5). For each graph, the effect of thermoperiod (T), CO<sub>2</sub> environment (CO<sub>2</sub>), and the interaction of thermoperiod and CO<sub>2</sub> (T x CO<sub>2</sub>), ns indicates no significance difference, * indicates <span class="html-italic">p</span> ≤ 0.05, ** indicates <span class="html-italic">p</span> ≤ 0.01, and *** indicates <span class="html-italic">p</span> ≤ 0.001. The factor with the largest effect size is indicated in bold.</p>
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<p>Total soluble sugars (TSS) and starch for <span class="html-italic">C. quitensis</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">D. antarctica</span> (<b>B</b>,<b>D</b>). Treatments correspond to AC (ambient CO<sub>2</sub>, control thermoperiod; white bar empty), AW (ambient CO<sub>2</sub>, warming thermoperiod; white bar hashed), EC (elevated CO<sub>2</sub>, control thermoperiod; grey bar), and EW (elevated CO<sub>2</sub>, warming thermoperiod; grey bar hashed). Values are means ± SEM (<span class="html-italic">n</span> = 5). For each graph, the effect of thermoperiod (T), CO<sub>2</sub> environment (CO<sub>2</sub>), and the interaction of thermoperiod and CO<sub>2</sub> (T x CO<sub>2</sub>), with ns indicates no significance difference, * indicates <span class="html-italic">p</span> ≤ 0.05, ** indicates <span class="html-italic">p</span> ≤ 0.01, and *** indicates <span class="html-italic">p</span> ≤ 0.001. The factor with the largest effect size is indicated in bold.</p>
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<p>Relative abundance of phosphoenol pyruvate carboxylase (PEPc) and cytochrome oxidase (COX-II) proteins for <span class="html-italic">C. quitensis</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">D. antarctica</span> (<b>B</b>,<b>D</b>). Treatments correspond to AC (ambient CO<sub>2</sub>, control thermoperiod; white bar empty), AW (ambient CO<sub>2</sub>, warming thermoperiod; white bar hashed), EC (elevated CO<sub>2</sub>, control thermoperiod; grey bar), and EW (elevated CO<sub>2</sub>, warming thermoperiod; grey bar hashed). Values are means ± SEM (<span class="html-italic">n</span> = 5). For each graph, the effect of thermoperiod (T), CO<sub>2</sub> environment (CO<sub>2</sub>), and the interaction of thermoperiod and CO<sub>2</sub> (T x CO<sub>2</sub>), with ns indicates no significance difference, * indicates <span class="html-italic">p</span> ≤ 0.05, ** indicates <span class="html-italic">p</span> ≤ 0.01, and *** indicates <span class="html-italic">p</span> ≤ 0.001. The factor with the largest effect size is indicated in bold.</p>
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<p>Leaf mitochondria structural changes in number, and size of mitochondria in a determined area of 171.8 µm<sup>2</sup> and their correlation for <span class="html-italic">C. quitensis</span> (<b>A</b>,<b>C</b>,<b>E</b>) and <span class="html-italic">D. antarctica</span> (<b>B</b>,<b>D</b>,<b>F</b>) grown at AC (ambient CO<sub>2</sub>, control thermoperiod; white bar empty), AW (ambient CO<sub>2</sub>, warming thermoperiod; white bar hashed), EC (elevated CO<sub>2</sub>, control thermoperiod; grey bar), and EW (elevated CO<sub>2</sub>, warming thermoperiod; grey bar hashed). Values are means ± SEM (<span class="html-italic">n</span> = 5). For each graph, the effect of thermoperiod (T), CO<sub>2</sub> environment (CO<sub>2</sub>), and the interaction of thermoperiod and CO<sub>2</sub> (T x CO<sub>2</sub>), with ns indicates no significance difference, * indicates <span class="html-italic">p</span> ≤ 0.05, ** indicates <span class="html-italic">p</span> ≤ 0.01, and *** indicates <span class="html-italic">p</span> ≤ 0.001. The factor with the largest effect size is indicated in bold.</p>
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<p>Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of <span class="html-italic">C. quitensis</span> exposed to AC (ambient CO<sub>2</sub>, control thermoperiod; (<b>A</b>), AW (ambient CO<sub>2</sub>, warming thermoperiod; (<b>B</b>), EC (elevated CO<sub>2</sub>, control thermoperiod; (<b>C</b>), and EW (elevated CO<sub>2</sub>, warming thermoperiod; (<b>D</b>) Microscope magnification = 6000X.</p>
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<p>Mitochondria (M; red arrows), chloroplasts (Chl), and starch granules (Sg) from leaf mesophyll of <span class="html-italic">D. antarctica</span> exposed to AC (ambient CO<sub>2</sub>, control thermoperiod; (<b>A</b>), AW (ambient CO<sub>2</sub>, warming thermoperiod; (<b>B</b>), EC (elevated CO<sub>2</sub>, control thermoperiod; (<b>C</b>), and EW (elevated CO<sub>2</sub>, warming thermoperiod; (<b>D</b>). Microscope magnification = 11,500X.</p>
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10 pages, 2273 KiB  
Article
Overexpression of CsMIXTA, a Transcription Factor from Cannabis sativa, Increases Glandular Trichome Density in Tobacco Leaves
by Samuel R. Haiden, Peter V. Apicella, Yi Ma and Gerald A. Berkowitz
Plants 2022, 11(11), 1519; https://doi.org/10.3390/plants11111519 - 6 Jun 2022
Cited by 9 | Viewed by 5269
Abstract
Cannabinoids are synthesized in glandular stalked trichomes on the female flowers of Cannabis sativa (cannabis). The regulation of glandular trichome development has not been characterized in cannabis. We recently identified an R2R3-MYB transcription factor, CsMIXTA, which could be involved in trichome morphogenesis [...] Read more.
Cannabinoids are synthesized in glandular stalked trichomes on the female flowers of Cannabis sativa (cannabis). The regulation of glandular trichome development has not been characterized in cannabis. We recently identified an R2R3-MYB transcription factor, CsMIXTA, which could be involved in trichome morphogenesis in cannabis. Some homologous genes of CsMIXTA are known to function in glandular trichome initiation in other plant species. CsMIXTA is highly expressed in flower tissue compared to vegetative tissues. Interestingly, CsMIXTA is also highly expressed in trichomes isolated from female flower tissue. In addition, CsMIXTA is upregulated during the peak stages of female flower maturation in correlation with some cannabinoid biosynthetic genes. Transient expression in Nicotiana benthamiana showed that CsMIXTA is localized in the nucleus. Furthermore, yeast transcriptional activation assay demonstrated that CsMIXTA has transactivation activity. Overexpression of CsMIXTA in Nicotiana tabacum resulted in higher trichome density, larger trichome size, and more branching on stalked glandular trichomes. The results indicate that CsMIXTA not only promotes glandular trichome initiation in epidermal cells, but also regulates trichome development in tobacco leaves. In this report, we characterized the novel function of the first cannabis transcription factor that may be critical for glandular trichome morphogenesis. Full article
(This article belongs to the Special Issue Studies on Cannabis sativa and Cannabinoids)
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Graphical abstract

Graphical abstract
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<p>Expression analysis of <span class="html-italic">CsMIXTA</span>. (<b>A</b>) Relative expression of <span class="html-italic">CsMIXTA</span> in 5 different tissue types harvested from Cherry Wine. (<b>B</b>) Relative Expression of <span class="html-italic">CsMIXTA</span> over 7 weeks of flowering. Results ((<b>A</b>,<b>B</b>)) are shown as means ± SE (<span class="html-italic">n</span> = 4). Means separation between expression in various tissues compared to the level in roots (<b>A</b>) and at various times during flower development as compared to expression at week one (<b>B</b>) was evaluated using Student’s <span class="html-italic">t</span>-test; * indicates <span class="html-italic">p</span> &lt; 0.05, and ** indicates <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>) Integrated expression analyses of <span class="html-italic">CsMIXTA</span> and genes encoding cannabinoid biosynthetic enzymes along with cannabinoid levels monitored over the 7-week flowering period were evaluated using Pearson’s correlation coefficient analyses. Green boxes highlight <span class="html-italic">CsMIXTA</span>. Blue indicates a positive correlation, while red indicates a negative correlation. Size and shade of circles represent strength of correlation. Figures were generated using the R corrplot package (<a href="https://github.com/taiyun/corrplot" target="_blank">https://github.com/taiyun/corrplot</a>). (*, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001.) Percentage data was arcsine transformed prior to statistical analysis.</p>
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<p>Yeast transactivation assay and subcellular localization of CsMIXTA. (<b>A</b>) Top: yeast cells grown on SD medium lacking W. All cells grew normally, including cells transformed with the empty vector (EV). Bottom: yeast cells grown on SD medium lacking tryptophan (W) and histidine (H). Cells expressing CsMIXTA produced healthy cultures, while pAS2 empty vector transformed culture did not. (<b>B</b>) <span class="html-italic">N. benthamiana</span> epidermal cells expressing a CsMIXTA-YFP fusion protein, observed using Nikon A1R Confocal microscope with excitation at 488 nm. YFP signal clearly indicates nuclear localization.</p>
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<p>Trichomes on wt (<b>A</b>) and transgenic (<b>B</b>) tobacco leaf edges visualized using a dissection microscope. Samples were viewed at 38× magnification. It is noticeable that the base of some trichomes has become enlarged and trichomes are exhibiting novel branching in the transgenic line (<b>B</b>). Scale bars: 200 µm.</p>
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<p>Scanning Electron Microscopy and Fluorescence Microscopy micrographs of wt and transgenic tobacco leaves. (<b>A</b>–<b>C</b>), SEM images of adaxial leaf surface of wt (<b>A</b>) and two transgenic lines L3 (<b>B</b>) and L1 (<b>C</b>). (<b>D</b>–<b>F</b>) Higher resolution micrographs of representative glandular trichomes from wt (<b>D</b>) and two transgenic lines L3 (<b>E</b>) and L1 (<b>F</b>). (<b>G</b>–<b>I</b>) Fluorescence Microscopy images of wt (<b>G</b>) and two transgenic lines L3 (<b>H</b>) and L1 (<b>I</b>) captured with a Nikon A1R confocal microscope. All samples were taken from tissue adjacent to the midrib of the third leaf from the apical meristem, and 2 cm from the petiole. In all cases, the images shown for each genotype are representative of other biological replicates. Fluorescence signals indicating glandular trichomes were counted from each tissue sample (<span class="html-italic">n</span> = 3). Scale bars in (<b>A</b>–<b>C</b>): 500 µm; in (<b>D</b>–<b>F</b>): 200 µm; in (<b>G</b>–<b>H</b>): 500 µm.</p>
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<p>Tobacco transgenic lines overexpressing <span class="html-italic">CsMIXTA</span> generated more trichomes than wt. (<b>A</b>) Average number of glands on the glandular trichomes per mm<sup>2</sup>, observed by intrinsic fluorescence as shown in <a href="#plants-11-01519-f004" class="html-fig">Figure 4</a>G–I. (<b>B</b>) Average trichome number per mm<sup>2</sup>, obtained from SEM images in <a href="#plants-11-01519-f004" class="html-fig">Figure 4</a>A–C. Averages taken from 3 biological reps (<span class="html-italic">n</span> = 3) for each transgenic line and wt. * indicates <span class="html-italic">p</span> &lt; 0.05, which was determined using Student t-test by comparing the two transgenic lines to wt.</p>
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1 pages, 196 KiB  
Correction
Correction: Freitas et al. Influence of Climate Change on Chestnut Trees: A Review. Plants 2021, 10, 1463
by Teresa R. Freitas, João A. Santos, Ana P. Silva and Hélder Fraga
Plants 2022, 11(11), 1518; https://doi.org/10.3390/plants11111518 - 6 Jun 2022
Cited by 4 | Viewed by 1657
Abstract
In the original article [...] Full article
(This article belongs to the Special Issue Genetic Resources and Diversity of Castanea Species)
21 pages, 3141 KiB  
Article
Comparison of Heat and Drought Stress Responses among Twelve Tartary Buckwheat (Fagopyrum tataricum) Varieties
by Lauranne Aubert and Muriel Quinet
Plants 2022, 11(11), 1517; https://doi.org/10.3390/plants11111517 - 6 Jun 2022
Cited by 9 | Viewed by 2543
Abstract
The use of orphan crops could mitigate the effects of climate change and improve the quality of food security. We compared the effects of drought, high temperature, and their combination in 12 varieties of Tartary buckwheat (Fagopyrum tataricum). Plants were grown [...] Read more.
The use of orphan crops could mitigate the effects of climate change and improve the quality of food security. We compared the effects of drought, high temperature, and their combination in 12 varieties of Tartary buckwheat (Fagopyrum tataricum). Plants were grown at 21/19 °C or 28/26 °C under well-watered and water-stressed conditions. Plants were more discriminated according to environmental conditions than variety, with the exception of Islek that was smaller and produced fewer leaves, inflorescences, and seeds than the other varieties. The combination of high temperature and water stress had a stronger negative impact than each stress applied separately. The temperature increase stimulated leaf and flower production while water stress decreased plant height. Leaf area decreased with both temperature and water stress. High temperature hastened the seed initiation but negatively affected seed development such that almost all seeds aborted at 28 °C. At 21 °C, water stress significantly decreased the seed production per plant. At the physiological level, water stress increased the chlorophyll content and temperature increased the transpiration rate under well-watered conditions. High temperature also increased the polyphenol and flavonoid concentrations, mainly in the inflorescences. Altogether, our results showed that water stress and temperature increase in particular negatively affected seed production in F. tataricum. Full article
(This article belongs to the Special Issue Breeding Buckwheat for Nutritional Quality Volume II)
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<p>Principal component analysis (PCA) of plant growth and physiological parameters in <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). (<b>A</b>) Variable graph of PCA presenting growth and physiological parameters; only parameters with cos<sup>2</sup> &gt; 0.5 are shown. (<b>B</b>) Individual graph presenting the average individuals according to the varieties of <span class="html-italic">F. tataricum</span>. (<b>C</b>) Individual graph presenting the average individuals according to the treatments: 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress. (<b>D</b>) Individual graph presenting the varieties according to the treatments. Dim 1 and Dim 2: dimensions 1 and 2 of the PCA; DW: dry weight; inflo: inflorescence; 659: PI481659; 656: PI481656; 652: PI481652; 239: PI427239; 852: PI476852; 646: PI481646; 670: PI481670.</p>
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<p>Leaf production of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). Varieties (<b>A</b>) Islek, (<b>B</b>) Zlata, (<b>C</b>) Lifago, (<b>D</b>) PI481659, (<b>E</b>) PI481656, (<b>F</b>) PI481671, (<b>G</b>) PI481652, (<b>H</b>) PI427239, (<b>I</b>) PI476852, (<b>J</b>) PI481644, (<b>K</b>) PI481646, and (<b>L</b>) PI481670. 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress. Values followed by a same letter for the same variety were not statistically significant at the 5% level at the end of the experiment.</p>
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<p>Vegetative growth parameters of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). (<b>A</b>) Leaf area, (<b>B</b>) plant height, (<b>C</b>) number of ramifications per plant, and (<b>D</b>) tolerance index. 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress.</p>
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<p>Inflorescence production of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). Varieties (<b>A</b>) Islek, (<b>B</b>) Zlata, (<b>C</b>) Lifago, (<b>D</b>) PI481659, (<b>E</b>) PI481656, (<b>F</b>) PI481671, (<b>G</b>) PI481652, (<b>H</b>) PI427239, (<b>I</b>) PI476852, (<b>J</b>) PI481644, (<b>K</b>) PI481646, and (<b>L</b>) PI481670. 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress. Values followed by a same letter for the same variety were not statistically significant at the 5% level at the end of the experiment.</p>
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<p>Reproductive growth parameters of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). (<b>A</b>) Number of days from sowing to first inflorescence apparition, (<b>B</b>) total number of flowers per inflorescence, (<b>C</b>) number of days from sowing to apparition of the first green seed on the plant, (<b>D</b>) ripening rate (mature seeds per inflorescence/total number of flowers per inflorescence), (<b>E</b>) total number of normal seeds per plant, and (<b>F</b>) weight of 1000 seeds. 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress.</p>
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<p>Photosynthesis and water status-related parameters of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). (<b>A</b>) Chlorophyll content index, (<b>B</b>) photosystem 2 (PSII) efficiency, (<b>C</b>) non-photochemical quenching (NPQ), (<b>D</b>) net photosynthesis rate (Ai), (<b>E</b>) net transpiration rate (Ei), and (<b>F</b>) stomatal conductance (gs) at 8 weeks after stress imposition. 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress.</p>
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<p>Antioxidant content of <span class="html-italic">F. tataricum</span> varieties subjected to two temperatures (21 °C vs. 28 °C) and water supply conditions (well-watered vs. water-stressed). (<b>A</b>,<b>B</b>) Total polyphenol concentration and (<b>C</b>,<b>D</b>) total flavonoid concentrations in leaves (<b>A</b>,<b>C</b>) and inflorescences (<b>B</b>,<b>D</b>). 21WW: 21 °C well-watered, 21WS: 21 °C water stress, 28WW: 28 °C well-watered, 28WS: 28 °C water stress.</p>
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18 pages, 1952 KiB  
Article
Comparative Plasticity Responses of Stable Isotopes of Carbon (δ13C) and Nitrogen (δ15N), Ion Homeostasis and Yield Attributes in Barley Exposed to Saline Environment
by Muhammad Iftikhar Hussain, Zafar Iqbal Khan, Taimoor Hassan Farooq, Dunia A. Al Farraj and Mohamed Soliman Elshikh
Plants 2022, 11(11), 1516; https://doi.org/10.3390/plants11111516 - 5 Jun 2022
Cited by 7 | Viewed by 2230
Abstract
Salinity is a major threat to agricultural productivity worldwide. The selection and evaluation of crop varieties that can tolerate salt stress are the main components for the rehabilitation of salt-degraded marginal soils. A field experiment was conducted to evaluate salinity tolerance potential, growth [...] Read more.
Salinity is a major threat to agricultural productivity worldwide. The selection and evaluation of crop varieties that can tolerate salt stress are the main components for the rehabilitation of salt-degraded marginal soils. A field experiment was conducted to evaluate salinity tolerance potential, growth performance, carbon (δ13C) and nitrogen isotope composition (δ15N), intrinsic water use efficiency (iWUE), harvest index, and yield stability attributes in six barley genotypes (113/1B, 59/3A, N1-10, N1-29, Barjouj, Alanda01) at three salinity levels (0, 7, and 14 dS m−1). The number of spikes m−2 was highest in Alanda01 (620.8) while the lowest (556.2) was exhibited by Barjouj. Alanda01 produced the highest grain yield (3.96 t ha−1), while the lowest yield was obtained in 59/3A (2.31 t ha−1). Genotypes 113/1B, Barjouj, and Alanda01 demonstrate the highest negative δ13C values (−27.10‰, −26.49‰, −26.45‰), while the lowest values were obtained in N1-29 (−21.63‰) under salt stress. The δ15N was increased (4.93‰ and 4.59‰) after 7 and 14 dS m−1 as compared to control (3.12‰). The iWUE was higher in N1-29 (144.5) and N1-10 (131.8), while lowest in Barjouj (81.4). Grain protein contents were higher in 113/1B and Barjouj than other genotypes. We concluded that salt tolerant barley genotypes can be cultivated in saline marginal soils for food and nutrition security and can help in the rehabilitation of marginal lands. Full article
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<p>Monthly average values of mean (T mean), maximum (T maxi), and minimum (T min) air temperature and reference evapotranspiration (ETo) in the ICBA weather station, Dubai, UAE from December 2013 to June 2014.</p>
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<p>(<b>a</b>) Barley field plots for sustainable crop production in sandy marginal hyper-arid desert soils at ICBA, Dubai, UAE. (<b>b</b>) Irrigation systems, seedling growth, tillering and spike development. (<b>c</b>) Barley crop at grain filling stage. (<b>d</b>) Barley crop at maturity stage.</p>
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<p>(<b>a</b>) Barley field plots for sustainable crop production in sandy marginal hyper-arid desert soils at ICBA, Dubai, UAE. (<b>b</b>) Irrigation systems, seedling growth, tillering and spike development. (<b>c</b>) Barley crop at grain filling stage. (<b>d</b>) Barley crop at maturity stage.</p>
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<p>Changes in grain protein contents (mg g<sup>−1</sup>) in 6 barley genotypes following exposure to three different salinity levels (0, 7, 14 dS m<sup>−1</sup>). Each bar represents the mean (±S.E.) of three replicates. Bars with different lower case letters indicate significant difference with respect to control at <span class="html-italic">p</span> ≤ 0.05 according to Tukey’s HSD test.</p>
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14 pages, 659 KiB  
Article
Effects of Maturity and Thermal Treatment on Phenolic Profiles and In Vitro Health-Related Properties of Sacha Inchi Leaves
by Suwapat Kittibunchakul, Chatrapa Hudthagosol, Promluck Sanporkha, Suwimol Sapwarobol, Uthaiwan Suttisansanee and Yuraporn Sahasakul
Plants 2022, 11(11), 1515; https://doi.org/10.3390/plants11111515 - 5 Jun 2022
Cited by 15 | Viewed by 3441
Abstract
Sacha inchi (Plukenetia volubilis L.) has been adopted as a novel economic crop with well-studied nutritional and bioactive benefits for human health. Sacha inchi seeds and oil have high commercial value but scant research has focused on its leaves. This study investigated [...] Read more.
Sacha inchi (Plukenetia volubilis L.) has been adopted as a novel economic crop with well-studied nutritional and bioactive benefits for human health. Sacha inchi seeds and oil have high commercial value but scant research has focused on its leaves. This study investigated and compared phenolic compositions, antioxidant potentials and in vitro health-related properties of both young and mature sacha inchi leaves after freeze-drying and oven-drying processes. Results showed that p-coumaric acid, 4-hydroxybenzoic acid, ferulic acid and gallic acid were predominantly detected in both young and mature leaves that also exhibited similar total phenolic contents (TPCs), while higher TPCs were detected in freeze-dried than in oven-dried leaves. Mature leaves exhibited higher antioxidant potential than young leaves after freeze-drying, while the opposite results were observed for oven-drying. Overall in vitro health-related activities were higher in mature leaves compared to young leaves regardless of the drying process. Knowledge gained from this study can be used to encourage prospective utilization of sacha inchi leaves as a source of health-promoting compounds. This, in turn, will increase the commercial value of the leaves and provide a wider market variety of sacha inchi products. Full article
(This article belongs to the Special Issue Antioxidant Capacity of Plant Extracts)
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<p>The physical appearances of young and mature leaves of sacha inchi.</p>
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13 pages, 1308 KiB  
Article
Mung Bean (Vigna radiata) Treated with Magnesium Nanoparticles and Its Impact on Soilborne Fusarium solani and Fusarium oxysporum in Clay Soil
by Yasmine Abdallah, Marwa Hussien, Maha O. A. Omar, Ranya M. S. Elashmony, Dalal Hussien M. Alkhalifah and Wael N. Hozzein
Plants 2022, 11(11), 1514; https://doi.org/10.3390/plants11111514 - 5 Jun 2022
Cited by 18 | Viewed by 3952
Abstract
The nanotechnology revolution is developing daily all over the world. Soil-borne fungi cause a significant yield loss in mung beans. Our study was performed to identify the impact of different concentrations of MgO nanoparticles (MgONPs) and to assess the prevalence of Fusarium solani [...] Read more.
The nanotechnology revolution is developing daily all over the world. Soil-borne fungi cause a significant yield loss in mung beans. Our study was performed to identify the impact of different concentrations of MgO nanoparticles (MgONPs) and to assess the prevalence of Fusarium solani (F. solani) and Fusarium oxysporum (F. oxysporum) in mung bean plants under in vivo conditions and, subsequently, the remaining impacts on soil health. In vitro studies revealed that MgONPs could inhibit fungal growth. Mung bean plants treated with MgONPs showed a promotion in growth. The obtained MgONPs were applied to the roots of 14-day-old mung bean plants at a concentration of 100 µg/mL. The application of MgONPs at a concentration of 100 µg/mL caused an increase in mung bean seedlings. Compared to the control treated with water, plants exposed to MgONPs at 100 µg/mL showed improvements (p < 0.05) in shoot fresh weight (28.62%), shoot dry weight (85.18%), shoot length (45.83%), root fresh weight (38.88%), root dry weight (33.33%), root length (98.46%), and root nodule (70.75%). In the greenhouse, the severity of disease caused by F. solani decreased from approximately 44% to 25% and that by F. oxysporum from 39% to 11.4%, respectively. The results of this study confirm that the temporal growth of the soil microbial biomass was partially reduced or boosted following the nanoparticle drenching addition and/or plant infections at higher concentrations of 50 and 100 µg/mL while there was no significant decrease at the lowest concentration (25 µg/mL). The current research helps us to better understand how nanoparticles might be used to prevent a variety of fungal diseases in agricultural fields while avoiding the creation of environmental hazards to soil health. Full article
(This article belongs to the Special Issue Use of Nanomaterials in Agriculture)
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<p>The fungal growth inhibition (FGI%) of MgONPs at different concentrations (25, 50, and 100 µg/mL) on <span class="html-italic">F. solani</span> and <span class="html-italic">F. oxysporum</span> on NA media. <sup>a–f</sup> Columns with different superscripts are significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>The impact of MgONPs on the growth of mung bean seedlings: A: a concentration of 100 µg/mL; B: a concentration of 50 µg/mL; C: a concentration of 25 µg/mL; and D: only water.</p>
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<p>The impact of MgONPs on the disease severity of (<b>A</b>) <span class="html-italic">F. solani</span> (<b>B</b>) and <span class="html-italic">F. oxysporum</span> (<b>C</b>) in mung bean plants. <sup>a–h</sup> Columns with different superscripts are significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Flowchart diagram of the green synthesis of MgO-NPs using rosemary flower extract (source: [<a href="#B33-plants-11-01514" class="html-bibr">33</a>]).</p>
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15 pages, 3655 KiB  
Article
Exogenous Postharvest Application of Calcium Chloride and Salicylic Acid to Maintain the Quality of Broccoli Florets
by Hossam S. El-Beltagi, Marwa Rashad Ali, Khaled M. A. Ramadan, Raheel Anwar, Tarek A. Shalaby, Adel A. Rezk, Sherif Mohamed El-Ganainy, Samy F. Mahmoud, Mohamed Alkafafy and Mohamed M. El-Mogy
Plants 2022, 11(11), 1513; https://doi.org/10.3390/plants11111513 - 5 Jun 2022
Cited by 23 | Viewed by 3845
Abstract
The importance of broccoli (Brassica oleracea var. italica) consumption has increased in recent years due to its significant amount of anticarcinogenic and antioxidant compounds, as well as its many vitamins. However, broccoli florets are a highly perishable product which rapidly senesce [...] Read more.
The importance of broccoli (Brassica oleracea var. italica) consumption has increased in recent years due to its significant amount of anticarcinogenic and antioxidant compounds, as well as its many vitamins. However, broccoli florets are a highly perishable product which rapidly senesce and turn yellow after harvest, resulting in losses in nutritional and bioactive compounds. Thus, in this study, we evaluated the effect of postharvest exogenous of salicylic acid (SA) and calcium chloride (CaCl2) and their combination on the quality of broccoli florets stored at 5 °C for 28 days to minimize the rapid senescence of broccoli florets. Samples treated with 2 mM SA alone or in combination with 2% CaCl2 showed lower weight loss and lower losses of chlorophyll content, vitamin C, phenolic compounds, carotenoids, flavonoids, and glucosinolates compared with the control samples. Additionally, antioxidant activity was maintained by either SA or SA + CaCl2 treatments while peroxidase activity was decreased. For higher quality and lower losses in antioxidant compounds of broccoli florets during refrigerated storage at 5 °C, SA + CaCl2 treatment could be helpful for up to 21 days. Full article
(This article belongs to the Special Issue Postharvest Physiology and Biochemistry of Fruits and Vegetables)
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<p>Treatments schema and their concentrations.</p>
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<p>Effect of SA and CaCl<sub>2</sub> and their combination on (<b>A</b>) weight loss, (<b>B</b>) appearance, (<b>C</b>) chlorophyll content, and (<b>D</b>) carotenoids of broccoli florets stored at 5 °C for 28 days. Values are means ± SE from three replicates (<span class="html-italic">n</span> = 3). Same letter means no significant differences between the values (<span class="html-italic">p</span> &lt; 0.05) according to Duncan test.</p>
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<p>Effect of SA and CaCl<sub>2</sub> and their combination on the appearance and visual quality of broccoli florets stored at 5 °C for 28 days.</p>
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<p>Effect of SA and CaCl<sub>2</sub> and their combination on (<b>A</b>) total phenolic, (<b>B</b>) vitamin C, (<b>C</b>) flavonoids, and (<b>D</b>) glucosinolates of broccoli florets stored at 5 °C for 28 days. Values are means ± SE from three replicates (<span class="html-italic">n</span> = 3). Same letter means no significant differences between the values (<span class="html-italic">p</span> &lt; 0.05) according to Duncan test.</p>
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<p>Effect of SA and CaCl<sub>2</sub> and their combination on (<b>A</b>) total phenolic, (<b>B</b>) vitamin C, (<b>C</b>) flavonoids, and (<b>D</b>) glucosinolates of broccoli florets stored at 5 °C for 28 days. Values are means ± SE from three replicates (<span class="html-italic">n</span> = 3). Same letter means no significant differences between the values (<span class="html-italic">p</span> &lt; 0.05) according to Duncan test.</p>
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<p>Effect of SA and CaCl<sub>2</sub> and their combination on (<b>A</b>) sulforaphane, (<b>B</b>) peroxidase activity, and (<b>C</b>) antioxidant activity of broccoli florets stored at 5 °C for 28 days. Values are means ± SE from three replicates (<span class="html-italic">n</span> = 3). Same letter means no significant differences between the values (<span class="html-italic">p</span> &lt; 0.05) according to Duncan test.</p>
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<p>Two-dimensional heatmap visualization shows the interaction between the postharvest exogenous SA and CaCl<sub>2</sub> treatments and both the measured parameters measured in this study. Lower numerical values are colored blue, whereas higher numerical values are colored red.</p>
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<p>Graphical chart explains the effects of SA and CaCl<sub>2</sub> on broccoli florets.</p>
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23 pages, 4310 KiB  
Article
Interplay between Proline Metabolism and ROS in the Fine Tuning of Root-Meristem Size in Arabidopsis
by Sara Bauduin, Martina Latini, Irene Belleggia, Marta Migliore, Marco Biancucci, Roberto Mattioli, Antonio Francioso, Luciana Mosca, Dietmar Funck and Maurizio Trovato
Plants 2022, 11(11), 1512; https://doi.org/10.3390/plants11111512 - 5 Jun 2022
Cited by 17 | Viewed by 3356
Abstract
We previously reported that proline modulates root meristem size in Arabidopsis by controlling the ratio between cell division and cell differentiation. Here, we show that proline metabolism affects the levels of superoxide anion (O2•−) and hydrogen peroxide (H2O [...] Read more.
We previously reported that proline modulates root meristem size in Arabidopsis by controlling the ratio between cell division and cell differentiation. Here, we show that proline metabolism affects the levels of superoxide anion (O2•−) and hydrogen peroxide (H2O2), which, in turn, modulate root meristem size and root elongation. We found that hydrogen peroxide plays a major role in proline-mediated root elongation, and its effects largely overlap those induced by proline, influencing root meristem size, root elongation, and cell cycle. Though a combination of genetic and pharmacological evidence, we showed that the short-root phenotype of the proline-deficient p5cs1 p5cs2/P5CS2, an Arabidopsis mutant homozygous for p5cs1 and heterozygous for p5cs2, is caused by H2O2 accumulation and is fully rescued by an effective H2O2 scavenger. Furthermore, by studying Arabidopsis mutants devoid of ProDH activity, we disclosed the essential role of this enzyme in the modulation of root meristem size as the main enzyme responsible for H2O2 production during proline degradation. Proline itself, on the contrary, may not be able to directly control the levels of H2O2, although it seems able to enhance the enzymatic activity of catalase (CAT) and ascorbate peroxidase (APX), the two most effective scavengers of H2O2 in plant cells. We propose a model in which proline metabolism participates in a delicate antioxidant network to balance H2O2 formation and degradation and fine-tune root meristem size in Arabidopsis. Full article
(This article belongs to the Collection Feature Papers in Plant Development and Morphogenesis)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Proline affects the accumulation of superoxide and hydrogen peroxide in the <span class="html-italic">Arabidopsis</span> root. Effects of NBT (upper panel, (<b>A</b>–<b>D</b>), and left side of bottom panel) and DAB (upper panel, (<b>E</b>–<b>H</b>), and right side of bottom panel) treatment on wildtype and <span class="html-italic">p5cs1 p5cs2/P5CS2</span> roots. Wildtype and <span class="html-italic">p5cs1 p5cs2/P5CS2</span> roots were treated with 10 µM proline. Bars = 50 µm (<b>A</b>–<b>H</b>). The staining intensity of the meristematic area of the roots was quantified with ImageJ [<a href="#B28-plants-11-01512" class="html-bibr">28</a>] by scanning digital micrographs acquired at identical illumination and exposure settings. Columns represent the average of ten samples from at least three independent experiments, with a minimum of three technical replicates per experiment. Statistical significance was assessed by Welch Two Sample t-tests, and the <span class="html-italic">p</span>-values were corrected for multiple testing using the Bonferroni method. (* <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Effects of exogenous proline and hydrogen peroxide on root meristem size. (<b>A</b>) Boxplot representation of the average number of cortex cells in each cell file of the root meristem of wildtype <span class="html-italic">Arabidopsis</span> treated with an increasing amount of proline. (<b>B</b>) Boxplot representing the average number of meristem cells in <span class="html-italic">Arabidopsis</span> roots treated with an increasing amount of hydrogen peroxide. Both proline and hydrogen peroxide show similar effects on meristem size, stimulatory at low concentrations, and inhibitory at high concentrations, although, at high concentrations, H<sub>2</sub>O<sub>2</sub> is more toxic than proline. A one-way ANOVA, followed by a Tukey post-hoc test, confirmed the statistical significance of the effects on root meristem size of either proline or H<sub>2</sub>O<sub>2</sub>. Different letters indicate statistically different group means (<span class="html-italic">p</span> &lt; 0.01 between a–b; <span class="html-italic">p</span> &lt; 0.001 between a–c, and b–d). Each box represents the mean of at least three independent experiments, each one replicated three times and comprising ten roots.</p>
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<p>Effects of exogenous hydrogen peroxide on the meristem size of an <span class="html-italic">Arabidopsis</span> root. (<b>A</b>) Seven-day-old <span class="html-italic">CYCB1</span>:GUS plantlets were treated with increasing concentrations of H<sub>2</sub>O<sub>2</sub> and roots were stained for GUS activity. At 10 and 100 µM H<sub>2</sub>O<sub>2</sub>, the meristem area and the number of dividing cells were increased, whereas, at 1 mM H<sub>2</sub>O<sub>2</sub>, there was inhibition of cell division. H<sub>2</sub>O<sub>2</sub> concentrations above 10 mM were highly toxic to <span class="html-italic">Arabidopsis</span> plantlets, which hardly germinated and grew. Bars = 40 µm. (<b>B</b>) RT-qPCR analysis of the expression of <span class="html-italic">CYCB1;1</span> in wildtype roots. Transcript levels were normalized to 0 µM H<sub>2</sub>O<sub>2</sub> and <span class="html-italic">RCH1</span>. The expression of the root meristem-specific <span class="html-italic">ROOT CLAVATA HOMOLOG 1</span> (<span class="html-italic">RCH1</span>) was used as a reference gene to normalize <span class="html-italic">CYCB1;1</span> expression over different meristem sizes. Cq-values are the average of three replicates of a representative biological replicate.</p>
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<p>Effect of exogenous proline supplementation on H<sub>2</sub>O<sub>2</sub> accumulation. (<b>A</b>) Wildtype roots were grown for 7 days in vertical plates supplemented with increasing proline concentrations and stained with DAB. Only weak staining is detectable at micromolar proline concentrations, while more intense staining is visible at higher, millimolar concentrations. H<sub>2</sub>O<sub>2</sub> concentrations above 10 mM, were highly toxic to <span class="html-italic">Arabidopsis</span> plantlets, which hardly germinate and grow. Bars: (0–10) = 50 µm; (100) = 20 µM. (<b>B</b>) Boxplot representation of the intensity of DAB staining of apical roots from the root cap to the elongation/transition zone. A one-way ANOVA followed by a Tukey post-hoc test identified three groups significantly different (<span class="html-italic">p</span> &lt; 0.01 between a–b, and a–c; <span class="html-italic">p</span> &lt; 0.001 between b–c). Different letters indicate significant differences among groups. The means represent the average of a minimum of ten samples from three independent experiments replicated at least three times.</p>
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<p>Effect of KI on the root meristem size of wildtype and proline-deficient mutants. (<b>Left panel</b>) Root meristem from wildtype and <span class="html-italic">p5cs1 p5cs2/P5CS2</span> treated, at 5 DAG, with 10 μM exogenous KI, a strong scavenger of hydrogen peroxide. Black arrowheads indicate the quiescent center (bottom arrowhead) and the transition zone (top arrowhead). Bar = 50 µm. (<b>Right panel</b>) Boxplot representation of the average number of meristem cells in a wildtype and <span class="html-italic">p5cs1 p5cs2/P5CS2</span> genotype in the presence or absence of KI treatment. A two-way ANOVA analysis revealed a significant interaction between KI and P5CS expression in the modulation of root meristem size. Pairwise comparisons with Tukey post-hoc correction were used to analyze differences between individual samples. All pairwise comparisons were significant at <span class="html-italic">p</span> &lt; 0.001, except wildtype plus KI versus <span class="html-italic">p5cs1 p5cs2/P5CS2</span> plus KI which was non-significant. Each box represents the mean of at least three independent experiments, each one replicated three times and comprising ten roots.</p>
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<p>The genetic cross between short-rooted <span class="html-italic">p5cs1 p5cs2/P5CS2</span> and long-rooted <span class="html-italic">upb1</span> mutant results in roots with meristem sizes of intermediate length. Boxplot representing the average number of cortex cells measured in the root meristem of wildtype, <span class="html-italic">upb1</span>, <span class="html-italic">upb1 p5cs1 p5cs2/P5CS2</span>, and <span class="html-italic">p5cs1 p5cs2/P5CS2 Arabidopsis</span>. A one-way ANOVA followed by a Tukey post-hoc test found a statistically significant increase (<span class="html-italic">p</span> &lt; 0.001) in meristem size between the <span class="html-italic">p5cs1 p5cs2/P5CS2</span> sesquimutant and the <span class="html-italic">upb1</span>, <span class="html-italic">upb1 p5cs1 p5cs2/P5CS2</span>, quasi triple mutant. Different letters indicate significant differences among groups. The means represent the average number of meristem cells of ten roots from at least three independent experiments replicated at least three times.</p>
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<p><span class="html-italic">Arabidopsis</span> mutants impaired in proline catabolism have large root meristems. (<b>A</b>) Boxplot representation of the average number of meristem cells in roots from wildtype, <span class="html-italic">p5cs1 p5cs2/P5CS2</span>, <span class="html-italic">prodh1 prodh2</span>, and <span class="html-italic">prodh1 prodh2 p5cs1 p5cs2/P5CS2</span> plants. Significance among groups was estimated by One-Way ANOVA, followed by a Tukey post-hoc test, which found statistically significant differences among groups a, b, and c (<span class="html-italic">p</span> &lt; 0.001). (<b>B</b>) DAB staining in wildtype, <span class="html-italic">p5cs1 p5cs2/P5CS2</span>, <span class="html-italic">prodh1 prodh2,</span> and <span class="html-italic">prodh1 prodh2 p5cs1 p5cs2/P5CS2</span> roots. Because variance among groups was not homogeneous, we performed a Welch <span class="html-italic">t</span>-test analysis with Bonferroni correction for multiple testing finding significant differences among genotypes (* <span class="html-italic">p</span> &lt; 0.05 between <span class="html-italic">prodh1 prodh2</span> and wildtype; ** <span class="html-italic">p</span> &lt; 0.01 between <span class="html-italic">prodh1 prodh2</span> and <span class="html-italic">p5cs1 p5cs2/P5CS2</span>, and between and <span class="html-italic">prodh1 prodh2 p5cs1 p5cs2/P5CS2</span> and <span class="html-italic">p5cs1 p5cs2/P5CS2</span>). Each mean derives from the means of at least three independent experiments, each one replicated three times and comprising ten roots.</p>
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<p>Endogenous proline levels in plantlets from different proline metabolism mutants. Intracellular levels of proline were extracted from 0.5 g (FW) of either wildtype, <span class="html-italic">p5cs1 p5cs2/P5CS2</span>, <span class="html-italic">prodh1 prodh2</span>, or <span class="html-italic">prodh1 prodh2 p5cs1 p5cs2/P5CS2</span> plantlets with 5-sulphosalycidic acid and measured with the Bates assay [<a href="#B37-plants-11-01512" class="html-bibr">37</a>]. The average proline concentrations were derived from three independent experiments, each one with ten samples and three technical replicates. The differences in proline content among genotypes were analyzed with the non-parametric Kruskal–Wallis test, followed by a pairwise Wilcox test which found significant (*** <span class="html-italic">p</span> &lt; 0.001) differences among genotypes except for wildtype vs. <span class="html-italic">p5cs1 p5cs2/P5CS2</span>, <span class="html-italic">prodh1 prodh2.</span> The proline concentrations were normalized to wildtype seedlings.</p>
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<p>Expression of genes encoding antioxidant enzymes in the root meristem of proline mutants. RT-qPCR was performed on cDNA from apical root portions. The analysis shows upregulation of genes coding for antioxidant enzymes in roots from <span class="html-italic">p5cs1 p5cs2/P5CS2</span> mutants relative to wildtype. In (<b>A</b>), a significant upregulation of <span class="html-italic">PER39</span>, <span class="html-italic">PER40,</span> and <span class="html-italic">PER57</span> is shown. In (<b>B</b>), the genes <span class="html-italic">APX1</span>, <span class="html-italic">CAT1</span>, and <span class="html-italic">DHAR</span> are significantly upregulated. The meristem-specific gene <span class="html-italic">RCH1</span> was used as reference control to normalize the RT-qPCR. Error bars indicate Standard Deviation (SD). The Welch Two Sample t-test (wild type vs. mutant lines) was used to assess statistical significance (*** <span class="html-italic">p</span> &lt; 0.001; * <span class="html-italic">p</span> &lt; 0.05). The data represent the means ± SD of four independent experiments and three technical replicates per experiment.</p>
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<p>Enzymatic activity of catalase (CAT) and ascorbate peroxidase (APX) in wildtype and <span class="html-italic">p5cs1 p5cs2/P5CS2</span> roots. CAT (<b>A</b>) and APX (<b>B</b>) are considered the most effective scavengers of H<sub>2</sub>O<sub>2</sub> in the plant cell. The values are the means of four independent experiments. Error bars indicate Standard Deviation (SD). The statistical significance (* <span class="html-italic">p</span> &lt; 0.05) was calculated with a Welch test. The data represent the means ± SD of at least four independent experiments and three technical replicates per experiment.</p>
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<p>Possible models of interactions between proline and ROS. Proline catabolism stimulates the accumulation of H<sub>2</sub>O<sub>2</sub> production, which, in turn, can induce proline synthesis (<b>A</b>). Proline seems not able to scavenge directly H<sub>2</sub>O<sub>2</sub> but might indirectly control its accumulation by enhancing the activities of key antioxidant enzymes (<b>B</b>).</p>
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13 pages, 1450 KiB  
Article
Changes in Diversity and Community Composition of Root Endophytic Fungi Associated with Aristolochia chilensis along an Aridity Gradient in the Atacama Desert
by María José Guevara-Araya, Víctor M. Escobedo, Valeria Palma-Onetto and Marcia González-Teuber
Plants 2022, 11(11), 1511; https://doi.org/10.3390/plants11111511 - 5 Jun 2022
Cited by 6 | Viewed by 2233
Abstract
Despite the widespread occurrence of fungal endophytes (FE) in plants inhabiting arid ecosystems, the environmental and soil factors that modulate changes in FE diversity and community composition along an aridity gradient have been little explored. We studied three locations along the coast of [...] Read more.
Despite the widespread occurrence of fungal endophytes (FE) in plants inhabiting arid ecosystems, the environmental and soil factors that modulate changes in FE diversity and community composition along an aridity gradient have been little explored. We studied three locations along the coast of the Atacama Desert in Chile, in which the plant Aristolochia chilensis naturally grows, and that differ in their aridity gradient from hyper-arid to semi-arid. We evaluated if root-associated FE diversity (frequency, richness and diversity indexes) and community composition vary as a function of aridity. Additionally, we assessed whether edaphic factors co-varying with aridity (soil water potential, soil moisture, pH and nutrients) may structure FE communities. We expected that FE diversity would gradually increase towards the aridity gradient declines, and that those locations that had the most contrasting environments would show more dissimilar FE communities. We found that richness indexes were inversely related to aridity, although this pattern was only partially observed for FE frequency and diversity. FE community composition was dissimilar among contrasting locations, and soil water availability significantly influenced FE community composition across the gradient. The results indicate that FE diversity and community composition associated with A. chilensis relate to differences in the aridity level across the gradient. Overall, our findings reveal the importance of climate-related factors in shaping changes in diversity, structure and distribution of FE in desert ecosystems. Full article
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Figure 1

Figure 1
<p>Geographic positions, mean annual precipitation, mean annual temperature and aridity index of selected <span class="html-italic">Aristolochia chilensis</span> locations. Locations (H: Huasco; T: Totoralillo; Q: Quilimarí) were chosen based on increasing aridity, ranging from hyper-arid to semi-arid. The annual averages of precipitations and temperature were calculated by taking into account the weather of a 15-year period (data extracted from [<a href="#B26-plants-11-01511" class="html-bibr">26</a>]). The aridity index was calculated according to the De Martonne aridity index [<a href="#B27-plants-11-01511" class="html-bibr">27</a>], where the lowest value represents the most arid place. A picture of a plant of <span class="html-italic">A. chilensis</span> growing naturally in the field is shown.</p>
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<p>Relative abundance (average ± SE, <span class="html-italic">n</span> = 10 plants per location) of the four most abundant root FE genera found in the three locations of <span class="html-italic">Aristolochia chilensis</span> (Kruskal–Wallis). * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, ns indicates non-significant differences.</p>
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<p>Comparison of fungal endophyte communities in three locations of <span class="html-italic">Aristolochia chilensis</span>: Huasco, Totoralillo and Quilimarí. A two-dimensional non-metric multidimensional scaling (NMDS) is shown.</p>
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16 pages, 342 KiB  
Article
Chemical Investigation and Dose-Response Phytotoxic Effect of Essential Oils from Two Gymnosperm Species (Juniperus communis var. saxatilis Pall. and Larix decidua Mill.)
by Sara Vitalini, Marcello Iriti, Valentina Vaglia and Stefania Garzoli
Plants 2022, 11(11), 1510; https://doi.org/10.3390/plants11111510 - 4 Jun 2022
Cited by 7 | Viewed by 2441
Abstract
The chemical composition of the liquid and vapor phases of leaf essential oils (EOs) obtained from two species of Gymnosperms (Juniperus communis var. saxatilis Willd. and Larix decidua Mill.) was investigated using the SPME-GC-MS technique. The results highlighted a composition characterized by [...] Read more.
The chemical composition of the liquid and vapor phases of leaf essential oils (EOs) obtained from two species of Gymnosperms (Juniperus communis var. saxatilis Willd. and Larix decidua Mill.) was investigated using the SPME-GC-MS technique. The results highlighted a composition characterized by 51 identified volatile compounds (34 in J. communis and 39 in L. decidua). In both bloils, monoterpenes prevailed over the sesquiterpenes, albeit with qualitative and quantitative differences. Sabinene (37.5% and 34.5%, respectively) represented the two most abundant components in the liquid and vapor phases of J. communis, and α-pinene (51.0% and 63.3%) was the main constituent in L. decidua. The phytotoxic activity of the two EOs was assessed in pre-emergence conditions using three concentrations in contact (2, 5, 10 µL/mL) and non-contact (2, 20, 50 µL) tests against Lolium multiflorum Lam. (Poaceae) and Sinapis alba L. (Brassicaceae). Treatments were effective in a dose-dependent manner by significantly reducing the germination (up to 100% and 45–60%, respectively, with filter paper and soil as a substrate) and the seedling development (1.3 to 8 times) of both target species. Moreover, an exploratory survey on the residual presence of volatile compounds in the soil at the end of the tests was carried out. Full article
(This article belongs to the Special Issue 10th Anniversary of Plants—Recent Advances and Perspectives)
9 pages, 856 KiB  
Brief Report
The Destructive Static Tree-Pulling Test Provides Reliable Estimates of the Soil–Root Plate of Eastern Baltic Silver Birch (Betula pendula Roth.)
by Oskars Krišāns, Roberts Matisons, Jānis Vuguls, Andris Seipulis, Valters Samariks, Renāte Saleniece and Āris Jansons
Plants 2022, 11(11), 1509; https://doi.org/10.3390/plants11111509 - 4 Jun 2022
Viewed by 1703
Abstract
Under the intensifying cyclonic activity, the wind resistance of European forests could be increased through science-based adaptive forest management, which requires the quantification of tree stability. In this regard, the dimensions of the soil–root plate can be directly attributed to tree wind resistance; [...] Read more.
Under the intensifying cyclonic activity, the wind resistance of European forests could be increased through science-based adaptive forest management, which requires the quantification of tree stability. In this regard, the dimensions of the soil–root plate can be directly attributed to tree wind resistance; however, naturally uprooted trees might be a biased source of information for the evaluation of adaptive measures due to uncontrolled conditions and uneven sample size. Therefore, the dimensions of the soil–root plates of naturally windthrown silver birch trees (Betula pendula Roth.) are compared to artificially overturned trees under a static tree-pulling test in Eastern Baltic region. The application of static tree-pulling overestimated the dimensions of the soil–root plates of silver birch compared to windthrown trees. The overestimation of soil–root plate dimensions was consistent spatially and across soil types, which is likely a regional adaptation to local wind climate. This implies that static tree-pulling is representative of the assessment of the effects of adaptive management on tree stability via the dimensions of the soil–root plates. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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Figure 1
<p>Estimated marginal mean (±95% standard error) volume (<b>A</b>) (expressed per stemwood volume), depth (<b>B</b>), and width (<b>C</b>) (expressed per stem diameter at breast height) of soil–root plates of pulled and windthrown trees of Eastern Baltic silver birch on freely draining mineral, drained deep peat, and periodically waterlogged mineral soils.</p>
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<p>The relationship between relative stem basal bending moment (BBM in kNm) (expressed per stemwood volume in m<sup>3</sup>) and the volume of soil–root plate (in m<sup>3</sup>) of pulled and windthrown trees of Eastern Baltic silver birch on freely draining mineral, drained deep peat, and periodically waterlogged mineral soils.</p>
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18 pages, 2866 KiB  
Article
Morphological, Biochemical, and Proteomic Analyses to Understand the Promotive Effects of Plant-Derived Smoke Solution on Wheat Growth under Flooding Stress
by Setsuko Komatsu, Hisateru Yamaguchi, Keisuke Hitachi, Kunihiro Tsuchida, Shafiq Ur Rehman and Toshihisa Ohno
Plants 2022, 11(11), 1508; https://doi.org/10.3390/plants11111508 - 4 Jun 2022
Cited by 10 | Viewed by 2434
Abstract
Wheat is an important staple food crop for one-third of the global population; however, its growth is reduced by flooding. On the other hand, a plant-derived smoke solution enhances plant growth; however, its mechanism is not fully understood. To reveal the effects of [...] Read more.
Wheat is an important staple food crop for one-third of the global population; however, its growth is reduced by flooding. On the other hand, a plant-derived smoke solution enhances plant growth; however, its mechanism is not fully understood. To reveal the effects of the plant-derived smoke solution on wheat under flooding, morphological, biochemical, and proteomic analyses were conducted. The plant-derived smoke solution improved wheat-leaf growth, even under flooding. According to the functional categorization of proteomic results, oppositely changed proteins were correlated with photosynthesis, glycolysis, biotic stress, and amino-acid metabolism with or without the plant-derived smoke solution under flooding. Immunoblot analysis confirmed that RuBisCO activase and RuBisCO large/small subunits, which decreased under flooding, were recovered by the application of the plant-derived smoke solution. Furthermore, the contents of chlorophylls a and b significantly decreased by flooding stress; however, they were recovered by the application of the plant-derived smoke solution. In glycolysis, fructose-bisphosphate aldolase and glyceraldehyde-3-phosphate dehydrogenase decreased with the application of the plant-derived smoke solution under flooding as compared with flooding alone. Additionally, glutamine, glutamic acid, aspartic acid, and serine decreased under flooding; however, they were recovered by the plant-derived smoke solution. These results suggest that the application of the plant-derived smoke solution improves the recovery of wheat growth through the regulation of photosynthesis and glycolysis even under flooding conditions. Furthermore, the plant-derived smoke solution might promote wheat tolerance against flooding stress through the regulation of amino-acid metabolism. Full article
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)
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Figure 1
<p>The experimental design for the investigation of the effect of the plant-derived smoke solution on wheat under flooding stress. To investigate the potential effects of the plant-derived smoke solution on wheat, seeds were sown and treated with or without 2000 ppm of the plant-derived smoke solution. After 3 days of sowing, wheat was flooded for 3 days. Wheat seedlings were analyzed with morphological and proteomic methods, and confirmation. For confirmation experiments, immunoblot and amino-acid analyses were used. All experiments were performed with three independent biological replicates.</p>
Full article ">Figure 2
<p>The morphological effects of the plant-derived smoke solution on wheat under flooding stress. Wheat seeds were sown and treated with or without 2000 ppm of the plant-derived smoke solution. Three-day-old wheats were treated with or without flooding for three days. As morphological parameters, leaf length, leaf-fresh weight, main-root length, and total-root fresh weight were analyzed 6 days after sowing. The bar in the left panel indicates 1 cm in the picture. The data are presented as mean ± SD from three independent biological replicates. Asterisks indicate significant changes between wheats treated with the plant-derived smoke solution under flooding and with only flooding according to the Student’s <span class="html-italic">t</span>-test (**: <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>A Venn diagram of the proteomic results and an overview of the proteomic data of wheat based on PCA. Wheat seeds were sown and treated with or without the plant-derived smoke solution. Three-day-old wheats were exposed with or without flooding for 3 days. Wheat leaves were collected for protein extraction. Proteomic analysis was performed with 3 independent biological replicates for each treatment. The number in the Venn diagram shows the number of proteins identified by proteomic analysis. PCA was performed with Proteome Discoverer 2.2 using proteins from 9 kinds of samples.</p>
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<p>The functional categories of proteins with differential abundance in wheat treated with the plant-derived smoke solution under flooding stress. Wheat seeds were sown and treated with or without the plant-derived smoke solution. Three-day-old wheats were exposed with or without flooding. After proteomic analysis, the functional categories of the significantly changed proteins (<span class="html-italic">p</span> &lt; 0.05) from wheat treated with and without the plant-derived smoke solution under flooding were determined using MapMan bin codes (<a href="#app1-plants-11-01508" class="html-app">Tables S2 and S3</a>). Red and blue columns show the number of increased and decreased proteins, respectively. Abbreviations: AA, amino acids; mitoETC, mitochondrial electron transport chain; OPP, oxidative pentose phosphate; and TCA, tricarboxylic acid cycle; “not assigned” indicates proteins without ontology or characterized functions.</p>
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<p>Immunoblot analysis of the proteins involved in photosynthesis in wheat treated with the plant-derived smoke solution under flooding stress. Proteins extracted from leaves of wheat seedlings were separated on SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-RuBisCO activase, the RuBisCO large subunit, and the RuBisCO small subunit antibodies. A staining pattern with Coomassie-brilliant blue was used as a loading control (<a href="#app1-plants-11-01508" class="html-app">Figure S1</a>). The integrated densities of the bands were calculated using ImageJ software. The data are presented as mean ± SD from 3 independent biological replicates (<a href="#app1-plants-11-01508" class="html-app">Figure S2</a>). Asterisks indicate significant changes in the relative intensity of signal band in the plant-derived smoke solution under flooding compared to only flooding according to the Student’s <span class="html-italic">t</span>-test (**, <span class="html-italic">p</span> &lt; 0.01; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The contents of chlorophylls <span class="html-italic">a</span> and <span class="html-italic">b</span> in wheat treated with the plant-derived smoke solution under flooding stress. Chlorophylls <span class="html-italic">a</span> and <span class="html-italic">b</span> extracted from the leaves of wheat seedlings were measured. Asterisks indicate significant changes in the relative intensity of the signal band in the plant-derived smoke solution under flooding compared to only flooding according to the Student’s <span class="html-italic">t</span>-test (**, <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Immunoblot analysis of the proteins involved in glycolysis in wheat treated with the plant-derived smoke solution under flooding stress. Proteins extracted from the leaves and roots of wheat seedlings were separated on SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-FBPA, TPI, and GAPDH antibodies. A staining pattern with Coomassie-brilliant blue was used as a loading control (<a href="#app1-plants-11-01508" class="html-app">Figure S1</a>). The integrated densities of bands were calculated using ImageJ software. The data are presented as mean ± SD from 3 independent biological replicates (<a href="#app1-plants-11-01508" class="html-app">Figures S3–S5</a>). Asterisks indicate significant changes in the relative intensity of the signal band in the plant-derived smoke solution under flooding compared to only flooding according to the Student’s <span class="html-italic">t</span>-test (**: <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Immunoblot analysis of the proteins involved in biotic stress in wheat treated with the plant-derived smoke solution under flooding stress. Proteins extracted from the leaves of wheat seedlings were separated on SDS-polyacrylamide gel by electrophoresis and transferred onto membranes. The membranes were cross-reacted with anti-PR1, PR5, and PR10 antibodies. A staining pattern with Coomassie-brilliant blue was used as a loading control (<a href="#app1-plants-11-01508" class="html-app">Figure S1</a>). The integrated densities of the bands were calculated using ImageJ software. The data are presented as mean ± SD from 3 independent biological replicates (<a href="#app1-plants-11-01508" class="html-app">Figures S3–S5</a>). Asterisks indicate significant changes in the relative intensity of signal band in the plant-derived smoke solution under flooding compared to only flooding according to the Student’s <span class="html-italic">t</span>-test (**: <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>A mapping of altered amino acids to amino-acid metabolism in wheat treated with the plant-derived smoke solution under flooding stress. Totally, 32 amino acids identified using an automatic amino-acid analyzer were mapped onto pathways according to the KEGG database. Amino-acids analysis was performed with 3 independent biological replicates for each treatment (<a href="#app1-plants-11-01508" class="html-app">Table S4</a>). The different colors indicate the different ratio ranges of the quantities of metabolites, which are calculated using the contents of wheat treated with or without the plant-derived smoke solution under flooding by those from untreated wheat. Each set of 2 boxes shows that the left is “flood/control” and the right is “flood + smoke/control”. Abbreviations: GABA, gamma-aminobutyric acid.</p>
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<p>The overall responses of the main proteins in the functional categories in wheat leaf to the plant-derived smoke solution under flooding stress.</p>
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18 pages, 2653 KiB  
Article
How Leaf Vein and Stomata Traits Are Related with Photosynthetic Efficiency in Falanghina Grapevine in Different Pedoclimatic Conditions
by Nicola Damiano, Carmen Arena, Antonello Bonfante, Rosanna Caputo, Arturo Erbaggio, Chiara Cirillo and Veronica De Micco
Plants 2022, 11(11), 1507; https://doi.org/10.3390/plants11111507 - 4 Jun 2022
Cited by 6 | Viewed by 3195
Abstract
The increase in severe drought events due to climate change in the areas traditionally suitable for viticulture is enhancing the need to understand how grapevines regulate their photosynthetic metabolism in order to forecast specific cultivar adaptive responses to the changing environment. This study [...] Read more.
The increase in severe drought events due to climate change in the areas traditionally suitable for viticulture is enhancing the need to understand how grapevines regulate their photosynthetic metabolism in order to forecast specific cultivar adaptive responses to the changing environment. This study aims at evaluating the association between leaf anatomical traits and eco-physiological adjustments of the ‘Falanghina’ grapevine under different microclimatic conditions at four sites in southern Italy. Sites were characterized by different pedoclimatic conditions but, as much as possible, were similar for plant material and cultivation management. Microscopy analyses on leaves were performed to quantify stomata and vein traits, while eco-physiological analyses were conducted on vines to assess plant physiological adaptation capability. At the two sites with relatively low moisture, photosynthetic rate, stomatal conductance, photosystem electron transfer rate, and quantum yield of PSII, linear electron transport was lower compared to the other two sites. Stomata size was higher at the site characterized by the highest precipitation. However, stomatal density and most vein traits tended to be relatively stable among sites. The number of free vein endings per unit leaf area was lower in the two vineyards with low precipitation. We suggest that site-specific stomata and vein traits modulation in Falanghina grapevine are an acclimation strategy that may influence photosynthetic performance. Overall in-depth knowledge of the structure/function relations in Falanghina vines might be useful to evaluate the plasticity of this cultivar towards site-specific management of vineyards in the direction of precision viticulture. Full article
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<p>Combined effect of field and year (F x Y) on bunch weight (<b>a</b>) and bunch number (<b>b</b>) of <span class="html-italic">V. vinifera</span> subsp. <span class="html-italic">vinifera</span> ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Combined effect of field and year (F x Y) on net photosynthetic rate (Pn) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Epi-fluorescence microscopy views of abaxial leaf epidermis of V. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia (<b>a</b>), CA-Calvese (<b>b</b>), GR-Grottole (<b>c</b>), AC-Acquafredde (<b>d</b>). Images are all at the same magnification. Bar = 50 µm.</p>
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<p>Combined effect of field and year (F x Y) on stomatal frequency of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Combined effect of field and year (F x Y) on Total VAA (<b>a</b>) and FVEA (<b>b</b>) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>The four experimental sites Santa Lucia (<b>a</b>), Calvese (<b>b</b>), Grottole (<b>c</b>), Acquefredde (<b>d</b>) vineyards.</p>
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<p>Light microscopy views of V. vinifera ‘Falanghina’ leaf lamina sample with arrows pointing to the FVEA (2, second-order vein). Bar = 300 µm.</p>
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19 pages, 5576 KiB  
Article
Characterization of the Calmodulin/Calmodulin-like Protein (CAM/CML) Family in Ginkgo biloba, and the Influence of an Ectopically Expressed GbCML Gene (Gb_30819) on Seedling and Fruit Development of Transgenic Arabidopsis
by Xinxin Zhang, Juan Tian, Sai Li, Yuying Liu, Ting Feng, Yunyun Wang, Yuanjin Li, Xinxin Huang and Dahui Li
Plants 2022, 11(11), 1506; https://doi.org/10.3390/plants11111506 - 4 Jun 2022
Cited by 5 | Viewed by 2464
Abstract
Calmodulins (CAMs) and calmodulin-like proteins (CMLs) can participate in the regulation of various physiological processes via sensing and decoding Ca2+ signals. To reveal the characteristics of the CAM/CML family in Ginkgo biloba, a comprehensive analysis was performed at the genome-wide level. [...] Read more.
Calmodulins (CAMs) and calmodulin-like proteins (CMLs) can participate in the regulation of various physiological processes via sensing and decoding Ca2+ signals. To reveal the characteristics of the CAM/CML family in Ginkgo biloba, a comprehensive analysis was performed at the genome-wide level. A total of 26 CAMs/CMLs, consisting of 5 GbCAMs and 21 GbCMLs, was identified on 11 out of 12 chromosomes in G. biloba. They displayed a certain degree of multiplicity in their sequences, albeit with conserved EF hands. Collinearity analysis suggested that tandem rather than segmental or whole-genome duplications were likely to play roles in the evolution of the Ginkgo CAM/CML family. Furthermore, GbCAMs/GbCMLs were grouped into higher, lower, and moderate expression in magnitude. The cis-acting regulatory elements involved in phytohormone-responsiveness within GbCAM/GbCML promotors may explain their varied expression profiles. The ectopic expression of a GbCML gene (Gb_30819) in transgenic Arabidopsis led to phenotypes with significantly shortened root length and seedling height, and decreased yields of both pods and seeds. Moreover, an electrophoresis mobility shift assay demonstrated the Ca2+-binding activity of Gb_30819 in vitro. Altogether, these results contribute to insights into the characteristics of the evolution and expression of GbCAMs/GbCMLs, as well as evidence for Ca2+-CAM/CML pathways functioning within the ancient gymnosperm G. biloba. Full article
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<p><span class="html-italic">CAMs/CML</span>s’ localization on individual chromosomes: (<b>a</b>) <span class="html-italic">GbCAMs/GbCML</span>s; (<b>b</b>) <span class="html-italic">AtCAMs/AtCML</span>s. Gene density of chromosomes from lower to higher is indicated from blue to red within the bar, respectively.</p>
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<p>Phylogenetic tree constructed with 83 CAMs/CMLs. Ten subgroups are indicated with I–X, respectively. Squares in red, light blue, and light green refer to pairs of EF-hand domains. Arrows in red indicate the 5 GbCAMs (Gb_08148, Gb_13552, Gb_17936, Gb_20553, and Gb_30717) within subgroup VIII. Circles at the individual nodes represent bootstrap support.</p>
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<p>Sequence alignment of the first pair of EF-hand domains among the 83 CAM/CMLs identified. The two EF hands are marked with #1 and #2 EF hands. The absence of EF hands is represented with dots. Blue arrowheads indicate the amino acids responsible for Ca<sup>2+</sup> binding within the loop structure. Green arrows indicate amino acids responsible for loop stability. Letters with different background are the conserved amino acids between these sequences.</p>
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<p>Sequence alignment of the second pair of EF-hand domains among the 83 CAM/CMLs identified. The two EF hands are marked with #3 and #4 EF hands. Symbols refer to the descriptions in <a href="#plants-11-01506-f003" class="html-fig">Figure 3</a>. Letters with different background are the conserved amino acids between these sequences.</p>
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<p>(<b>a</b>) Exon–intron and (<b>b</b>) MEME patterns of 83 <span class="html-italic">CAMs/CML</span>s.</p>
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<p>Collinearity relationships between (<b>a</b>) <span class="html-italic">AtCAMs/AtCML</span>s, (<b>b)</b> <span class="html-italic">GbCAMs/GbCML</span>s, and (<b>c)</b> <span class="html-italic">GbCAMs/GbCML</span>s and <span class="html-italic">AtCAMs/AtCML</span>s. A1–A5 and G01–G12 refer to chromosomes of <span class="html-italic">Arabidopsis</span> and <span class="html-italic">Ginkgo</span>, respectively. Linkages in orange indicate the intraspecies synteny blocks, containing the <span class="html-italic">CAM/CML</span> gene pairs with collinearity, while those in grey mark the blocks between genomes. Curved arrows in red mark gene pairs of tandem duplication. Gene IDs labeled on chromosomes are <span class="html-italic">CAMs/CML</span>s identified in <span class="html-italic">Arabidopsis</span> and <span class="html-italic">Ginkgo</span>.</p>
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<p>Heatmap of expression profiles of 26 <span class="html-italic">GbCAMs/GbCML</span>s in roots, stems, leaves, and ovules at the four developmental stages (I–IV) of <span class="html-italic">G. biloba</span>. The color bar from light blue to red indicates relative expression levels from lower to higher, respectively.</p>
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<p>Representatives of cis-regulatory elements identified from <span class="html-italic">GbCAM/GbCML</span> promotors. Columns in colors refer to these elements, while numbers on columns indicate the amounts of individual elements.</p>
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<p>Transgenic <span class="html-italic">Arabidopsis</span> plants overexpressing <span class="html-italic">Gb_30819</span>: (<b>a</b>) Relative transcriptional magnitude of <span class="html-italic">Gb_30819</span> within four lines of transgenic seedlings (Lines A1, A2, D1, and D2); Wild type indicates wild-type <span class="html-italic">Arabidopsis</span> seedlings. (<b>b</b>) Phenotypes and (<b>c</b>) statistical plotting of root length and seedling height in transgenic (T3) and wild-type (WT) <span class="html-italic">Arabidopsis</span>; white arrowheads indicate root tips. (<b>d</b>) Phenotypes and (<b>e</b>) statistical plotting of pod and seed numbers in transgenic (T3) and wild-type (WT) <span class="html-italic">Arabidopsis</span> in the fruiting periods; white arrows indicate pods. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01, Student’s <span class="html-italic">t</span>-test, compared with Line D1 in panel (<b>a</b>) and WT in panels (<b>c</b>,<b>e</b>).</p>
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<p>Electrophoretic mobility shift assay in SDS–PAGE. Line M, molecular mass markers of protein; Line 1, fusion protein Gb_30819; Line 2, fusion protein Gb_30819 + EDTA; Line 3, fusion protein Gb_30819 + Ca<sup>2+</sup>. Symbols + and – refer to with and without the corresponding components in each reaction system, respectively.</p>
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14 pages, 1447 KiB  
Article
Combined LC-MS/MS and Molecular Networking Approach Reveals Antioxidant and Antimicrobial Compounds from Erismadelphus exsul Bark
by Morel Essono Mintsa, Elvis Otogo N’nang, Élodie Choque, Ali Siah, Justine Jacquin, Jerome Muchembled, Roland Molinié, Romain Roulard, Dominique Cailleu, Mehdi A. Beniddir, Cédric Sima Obiang, Joseph-Privat Ondo, Brice Kumulungui and François Mesnard
Plants 2022, 11(11), 1505; https://doi.org/10.3390/plants11111505 - 3 Jun 2022
Cited by 7 | Viewed by 3228
Abstract
Erismadelphus exsul Mildbr bark is widely used in Gabonese folk medicine. However, little is known about the active compounds associated with its biological activities. In the present study, phytochemical profiling of the ethanolic extract of Erismadelphus exsul was performed using a de-replication strategy [...] Read more.
Erismadelphus exsul Mildbr bark is widely used in Gabonese folk medicine. However, little is known about the active compounds associated with its biological activities. In the present study, phytochemical profiling of the ethanolic extract of Erismadelphus exsul was performed using a de-replication strategy by coupling HPLC-ESI-Q/TOF with a molecular network approach. Eight families of natural compounds were putatively identified, including cyclopeptide alkaloids, esterified amino acids, isoflavonoid- and flavonoid-type polyphenols, glycerophospholipids, steroids and their derivatives, and quinoline alkaloids. All these compounds were identified for the first time in this plant. The use of molecular networking obtained a detailed phytochemical overview of this species. Furthermore, antioxidant (2,2-diphenyl-1-picryl-hydrazylhydrate (DPPH) and ferric reducing capacity (FRAP)) and in vitro antimicrobial activities were assessed. The crude extract, as well as fractions obtained from Erismadelphus exsul, showed a better reactivity to FRAP than DPPH. The fractions were two to four times more antioxidant than ascorbic acid while reacting to FRAP, and there was two to nine times less antioxidant than this reference while reacting to DPPH. In addition, several fractions and the crude extract exhibited a significant anti-oomycete activity towards the Solanaceae phytopathogen Phytophthora infestans in vitro, and, at a lower extent, the antifungal activity against the wheat pathogen Zymoseptoria tritici had growth inhibition rates ranging from 0 to 100%, depending on the tested concentration. This study provides new insights into the phytochemical characterization and the bioactivities of ethanolic extract from Erismadelphus exsul bark. Full article
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<p>Total ion chromatogram (TIC) in positive ion mode of the ethanolic extract of <span class="html-italic">Erismadelphus exsul</span> obtained on an Agilent 6530 Q/ToF (Scan rang <span class="html-italic">m/z</span> 100–1700). The number above each peak corresponds to the peak numbers in <a href="#plants-11-01505-t001" class="html-table">Table 1</a>.</p>
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<p>Putative annotation of cluster C with three cyclopeptide alkaloids compounds.</p>
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<p>Antimicrobial activity of crude ethanolic extract and fractions from <span class="html-italic">Erismadelphus exsul</span> bark on <span class="html-italic">Phytophthora infestans</span> (<b>A</b>,<b>C</b>,<b>E</b>) and <span class="html-italic">Zymoseptoria tritici</span> (<b>B</b>,<b>D</b>,<b>F</b>) at three and eleven days after 12-well microplate inoculation with the pathogens, respectively. (<b>A</b>,<b>B</b>) illustration of the in vitro growth of <span class="html-italic">P. infestans</span> (<b>A</b>) and <span class="html-italic">Z. tritici</span> (<b>B</b>) obtained on V8 and PDA mediums, respectively, amended or not with different concentrations of the fraction F3. (<b>C</b>,<b>D</b>) Dose-response curves obtained for <span class="html-italic">P. infestans</span> (<b>C</b>) and <span class="html-italic">Z. tritici</span> (<b>D</b>) using the crude extract and fractions at different concentrations. (<b>E</b>,<b>F</b>) Percentage of inhibitions scored for <span class="html-italic">P. infestans</span> (<b>E</b>) and <span class="html-italic">Z. tritici</span> (<b>F</b>) using the crude extract and fractions at the highest tested concentration of 1000 mg·L<sup>−1</sup>. The X-axis graduation in both (<b>C</b>) and (<b>D</b>) subfigures is presented in Log2 of the tested concentrations.</p>
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14 pages, 330 KiB  
Article
Role of Litsea cubeba Essential Oil in Agricultural Products Safety: Antioxidant and Antimicrobial Applications
by Petra Borotová, Lucia Galovičová, Nenad L. Vukovic, Milena Vukic, Simona Kunová, Paweł Hanus, Przemysław Łukasz Kowalczewski, Ladislav Bakay and Miroslava Kačániová
Plants 2022, 11(11), 1504; https://doi.org/10.3390/plants11111504 - 3 Jun 2022
Cited by 13 | Viewed by 3546
Abstract
The essential oil from Litsea cubeba (LCEO) has good antioxidant, antimicrobial, anti-insect properties, which gives it the potential for use as a natural additive to food resources and food products in order to prevent spoilage and extend shelf life. In this study the [...] Read more.
The essential oil from Litsea cubeba (LCEO) has good antioxidant, antimicrobial, anti-insect properties, which gives it the potential for use as a natural additive to food resources and food products in order to prevent spoilage and extend shelf life. In this study the biological activity related to food preservation was observed. The main volatile organic compounds were geranial (39.4%), neral (29.5%), and limonene (14.3%). Antioxidant activity was 30.9%, which was equal to 167.94 µg of Trolox per mL of sample. Antimicrobial activity showed the strongest inhibition against Serratia marcescens by disk diffusion method and minimum inhibitory concentrations MIC 50 and MIC 90 were the lowest for Micrococcus luteus with values 1.46 and 3.52 µL/mL, respectively. Antimicrobial activity of the LCEO vapor phase showed strong inhibition of microorganisms on apples, pears, potatoes, and kohlrabies. Over 50% of gram-positive and gram-negative bacteria and yeasts were inhibited by a concentration of 500 µL/mL. The inhibition of microorganisms was concentration dependent. Anti-insect activity was also strong, with 100% lethality of Pyrrhocoris apterus at a concentration of 25%. These results suggest that LCEO could be potentially used as a food preservative. Full article
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16 pages, 4415 KiB  
Article
Isolation and Characterization of the GmMT-II Gene and Its Role in Response to High Temperature and Humidity Stress in Glycine max
by Sushuang Liu, Yanmin Liu, Chundong Liu, Yang Li, Feixue Zhang and Hao Ma
Plants 2022, 11(11), 1503; https://doi.org/10.3390/plants11111503 - 3 Jun 2022
Cited by 3 | Viewed by 2170
Abstract
Metallothioneins (MTs) are polypeptide-encoded genes involved in plant growth, development, seed formation, and diverse stress response. High temperature and humidity stress (HTH) reduce seed development and maturity of the field-grown soybean, which also leads to seed pre-harvest deterioration. However, the function of MTs [...] Read more.
Metallothioneins (MTs) are polypeptide-encoded genes involved in plant growth, development, seed formation, and diverse stress response. High temperature and humidity stress (HTH) reduce seed development and maturity of the field-grown soybean, which also leads to seed pre-harvest deterioration. However, the function of MTs in higher plants is still largely unknown. Herein, we isolated and characterized the soybean metallothionein II gene. The full-length fragment is 255 bp and encodes 85 amino acids and contains the HD domain and the N-terminal non-conservative region. The subcellular location of the GmMT-II-GFP fusion protein was clearly located in the nucleus, cytoplasm, and cell membrane. The highest expression of the GmMT-II gene was observed in seeds both of the soybean Xiangdou No. 3 and Ningzhen No. 1 cultivars, as compared to other plant tissues. Similarly, gene expression was higher 45 days after flowering followed by 30, 40, and 35 days. Furthermore, the GmMT-II transcript levels were significantly higher at 96 and 12 h in the cultivars Xiangdou No. 3 and Ningzhen No. 1 under HTH stress, respectively. In addition, it was found that when the Gm1-MMP protein was deleted, the GmMT-II could bind to the propeptide region of the Gm1-MMP, but not to the signal peptide region or the catalytic region. GmMT-II overexpression in transgenic Arabidopsis increased seed germination and germination rate under HTH conditions, conferring enhanced resistance to HTH stress. GmMT-II overexpressing plants suffered less oxidative damage under HTH stress, as reflected by lower MDA and H2O2 content and ROS production than WT plants. In addition, the activity of antioxidant enzymes namely SOD, CAT, and POD was significantly higher in all transgenic Arabidopsis lines under HTH stress compared wild-tpye plants. Our results suggested that GmMT-II is related to growth and development and confers enhanced HTH stress tolerance in plants by reduction of oxidative molecules through activation of antioxidant activities. These findings will be helpful for us in further understanding of the biological functions of MT-II in plants. Full article
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<p>Isolation and identification of GmMT-II from Xiangdou No. 3 and Ningzhen No. 1 soybean cultivars (<b>A</b>). Isolation of cDNA of <span class="html-italic">GmMT-II</span> gene from soybean cultivars; (<b>B</b>) Phylogenetic tree analysis was performed by the MEGA 6 program with the neighbor joining method and with 1000 replicates. The phylogenetic tree was constructed based on the aligned amino acid sequence of 18 homologous metallothioneins (MTs) proteins. The asterisks indicate GmMT-II. (<b>C</b>) Alignment of amino acid sequences of GmMT-II in soybean cultivars with MT-II-like proteins from different plants (Ah—<span class="html-italic">Arachis hypogaea</span>; At—<span class="html-italic">Arabidopsis thaliana</span>; Os—<span class="html-italic">Oryza sativa</span>; and Ta—<span class="html-italic">Triticum aestivum</span>).</p>
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<p>(<b>A</b>–<b>B</b>). Transcript level of <span class="html-italic">GmMT-II</span> in Xiangdou No. 3 and Ningzhen No. 1 soybean cultivars in different hour intervals under HTH stress conditions. (<b>C</b>). Expression level of <span class="html-italic">GmMT-II</span> in Xiangdou No. 3 and Ningzhen No. 1 soybean cultivars quantified days after flowering. (<b>D</b>). Expression level of <span class="html-italic">GmMT-II</span> in different tissues of Xiangdou No. 3 and Ningzhen No. 1 soybean cultivars. Results are shown as mean ± SD for three independent replicates. ** denotes significance at <span class="html-italic">p</span> &lt; 0.01 level, according to Tukey’s correction (<span class="html-italic">p</span> &lt; 0.01). Scale bars: 1 mm.</p>
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<p>Subcellular localization of GmMT-II in onion epidermis. Confocal images showing the localization of GmMT-II in soybean mesophyll protoplasts and the empty vector (pA7) was used as negative control. The GFP signal was detected using confocal microscopy (GFP, green), bright field (gray), and merged signals are shown. Scale bars—20 µm.</p>
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<p>Screening of Gm1-MMP and GmMT-II interaction sites in Yeast. (<b>A</b>) Binding site prediction. (<b>B</b>) Different binding sites point to point verification.</p>
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<p>Evaluation of overexpression transgenic <span class="html-italic">Arabidopsis</span> lines and wild-type <span class="html-italic">Arabidopsis</span> seeds germination under HTH stress conditions. (<b>A</b>) Seed germination of overexpression transgenic <span class="html-italic">Arabidopsis</span> lines and wild-type <span class="html-italic">Arabidopsis</span> on growing medium under control and HTH stress conditions. (<b>B</b>–<b>C</b>) Germination rates of overexpression transgenic <span class="html-italic">Arabidopsis</span> lines and wild-type <span class="html-italic">Arabidopsis</span> seeds under control and HTH stress conditions. Each data point is the average of three experimental repetitions.</p>
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<p>Interactive effects of high temperature and high humidity on (<b>A</b>) accumulation of hydrogen peroxide, (<b>B</b>) hydrogen peroxide content, (<b>C</b>) accumulation of superoxide anion. ** denotes significance at <span class="html-italic">p</span> &lt; 0.01 level, according to Tukey’s correction (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Antioxidant enzyme activities and MDA content in leaves of wild-type (WT) and overexpression transgenic <span class="html-italic">Arabidopsis</span> lines (L3, L4, and LS5) under HTH stress conditions. (<b>A</b>) Superoxide dismutase (SOD); (<b>B</b>) Catalase (CAT); (<b>C</b>) Peroxidase (POD); (<b>D)</b>. Malondialdehyde (MDA). ** denotes significance at <span class="html-italic">p</span> &lt; 0.01 level, according to Tukey’s correction (<span class="html-italic">p</span> &lt; 0.01); vertical bars indicate standard errors of each mean value (n = 3).</p>
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24 pages, 2116 KiB  
Article
Roadmapping 5.0 Technologies in Agriculture: A Technological Proposal for Developing the Coffee Plant Centered on Indigenous Producers’ Requirements from Mexico, via Knowledge Management
by David Israel Contreras-Medina, Sergio Ernesto Medina-Cuéllar and Juan Manuel Rodríguez-García
Plants 2022, 11(11), 1502; https://doi.org/10.3390/plants11111502 - 3 Jun 2022
Cited by 12 | Viewed by 3609
Abstract
The coffee plant, with more than 40 billion shrubs, 9 million tons of grains produced, and 80% of its production accounted for by small-scale producers, has been severely damaged since the emergence of Hemileia vastatrix and Hypothenemus hampei. Despite technological support, these [...] Read more.
The coffee plant, with more than 40 billion shrubs, 9 million tons of grains produced, and 80% of its production accounted for by small-scale producers, has been severely damaged since the emergence of Hemileia vastatrix and Hypothenemus hampei. Despite technological support, these pests have caused 20% to 40% production losses, a 50% to 60% deficit in performance, and a cost of between USD 70 million and USD 220 million to the world economies, which forces us to rethink actions centered on people as the key elements to develop appropriate solutions. For this, the present study presents a technological proposal centered on small indigenous coffee producer requirements for introducing Industry 5.0 technologies, considering roadmapping, knowledge management, statistical analysis, and the social, productive, and digital contexts of five localities in Mexico. The results show a correlation between monitoring and control, soil analysis, the creation of organic fertilizers, accompaniment, and coffee experimentation, as the actions to be implemented, proposing the introduction of a mobile application; sensors, virtual platforms, dome-shaped greenhouses, and spectrophotometric technology as relevant technologies centered on indigenous coffee producers’ requirements. This study is important for policymakers, academics, and producers who wish to develop strategies centered on people in Mexico and the world. Full article
(This article belongs to the Special Issue Sensors and Information Technologies for Plant Development Monitoring)
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<p>Location of El Pajarito, Llano Coyul, Ocotal, Guadalupe, and Buenavista in Santiago Lachiguiri and San Juan Guichicovi in Oaxaca, Mexico.</p>
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<p>Process and materials of coffee production.</p>
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<p>Technology routes.</p>
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<p>Positive statistical correlations.</p>
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<p>Technological proposal.</p>
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15 pages, 4011 KiB  
Article
Introducing Three-Dimensional Scanning for Phenotyping of Olive Fruits Based on an Extensive Germplasm Survey
by Ioanna Manolikaki, Chrysi Sergentani, Safiye Tul and Georgios Koubouris
Plants 2022, 11(11), 1501; https://doi.org/10.3390/plants11111501 - 2 Jun 2022
Cited by 5 | Viewed by 2343
Abstract
Morphological characterization of olive (Olea europaea L.) varieties to detect desirable traits has been based on the training of expert panels and implementation of laborious multiyear measurements with limitations in accuracy and throughput of measurements. The present study compares two- and three-dimensional [...] Read more.
Morphological characterization of olive (Olea europaea L.) varieties to detect desirable traits has been based on the training of expert panels and implementation of laborious multiyear measurements with limitations in accuracy and throughput of measurements. The present study compares two- and three-dimensional imaging systems for phenotyping a large dataset of 50 olive varieties maintained in the National Germplasm Depository of Greece, employing this technology for the first time in olive fruit and endocarps. The olive varieties employed for the present study exhibited high phenotypic variation, particularly for the endocarp shadow area, which ranged from 0.17–3.34 cm2 as evaluated via 2D and 0.32–2.59 cm2 as determined by 3D scanning. We found significant positive correlations (p < 0.001) between the two methods for eight quantitative morphological traits using the Pearson correlation coefficient. The highest correlation between the two methods was detected for the endocarp length (r = 1) and width (r = 1) followed by the fruit length (r = 0.9865), mucro length (r = 0.9631), fruit shadow area (r = 0.9573), fruit width (r = 0.9480), nipple length (r = 0.9441), and endocarp area (r = 0.9184). The present study unraveled novel morphological indicators of olive fruits and endocarps such as volume, total area, up- and down-skin area, and center of gravity using 3D scanning. The highest volume and area regarding both endocarp and fruit were observed for ‘Gaidourelia’. This methodology could be integrated into existing olive breeding programs, especially when the speed of scanning increases. Another potential future application could be assessing olive fruit quality on the trees or in the processing facilities. Full article
(This article belongs to the Special Issue Imaging Tools for the Plant Sciences)
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<p>Morphological traits measured by 3D scanning and Autodesk Netfabb software analysis. All the morphological traits are explained in <a href="#plants-11-01501-t002" class="html-table">Table 2</a>.</p>
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<p>Workflow of olive endocarp and fruit 2D photography, acquisition of measurements, and ImageJ software analysis (ImageJ 1.52p).</p>
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<p>Workflow of olive endocarp three-dimensional scanning, acquisition of measurements, and Autodesk Netfabb software analysis.</p>
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<p>Box-plots of olive endocarp (500 replications) morphological traits measured by 2D photography and Image J analysis and 3D scanning and Autodesk Netfabb software analysis.</p>
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<p>Box-plots of olive fruit (250 replications) morphological traits measured by 2D photography and Image J analysis and 3D scanning and Autodesk Netfabb software analysis.</p>
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<p>Correlation coefficient (r) with corresponding <span class="html-italic">p</span>-values of the extracted parameters for the olive endocarp length (<b>A</b>), width (<b>B</b>), shadow area (<b>C</b>), and mucro length (<b>D</b>) between 2D and 3D scanning.</p>
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<p>Correlation coefficient (r) with corresponding <span class="html-italic">p</span>-values of the extracted parameters for the olive fruit length (<b>A</b>), width (<b>B</b>), shadow area (<b>C</b>), and nipple length (<b>D</b>) between 2D and 3D scanning.</p>
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<p>Pearson correlation matrix for olive (<b>A</b>) endocarp morphological traits, and (<b>B</b>) fruit morphological traits.</p>
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14 pages, 3290 KiB  
Article
Reallocation of Soluble Sugars and IAA Regulation in Association with Enhanced Stolon Growth by Elevated CO2 in Creeping Bentgrass
by Jingjin Yu, Meng Li, Qiuguo Li, Ruying Wang, Ruonan Li and Zhimin Yang
Plants 2022, 11(11), 1500; https://doi.org/10.3390/plants11111500 - 2 Jun 2022
Cited by 3 | Viewed by 2122
Abstract
Extensive stolon development and growth are superior traits for rapid establishment as well as post-stress regeneration in stoloniferous grass species. Despite the importance of those stoloniferous traits, the regulation mechanisms of stolon growth and development are largely unknown. The objectives of this research [...] Read more.
Extensive stolon development and growth are superior traits for rapid establishment as well as post-stress regeneration in stoloniferous grass species. Despite the importance of those stoloniferous traits, the regulation mechanisms of stolon growth and development are largely unknown. The objectives of this research were to elucidate the effects of the reallocation of soluble sugars for energy reserves and endogenous hormone levels for cell differentiation and regeneration in regulating stolon growth of a perennial turfgrass species, creeping bentgrass (Agrostis stolonifera L.). Plants were grown in growth chambers with two CO2 concentrations: ambient CO2 concentration (400 ± 10 µmol mol−1) and elevated CO2 concentration (800 ± 10 µmol mol−1). Elevated CO2 enhanced stolon growth through increasing stolon internode number and internode length in creeping bentgrass, as manifested by the longer total stolon length and greater shoot biomass. The content of glucose, sucrose, and fructose as well as endogenous IAA were accumulated in stolon nodes and internodes but not in leaves or roots under elevated CO2 concentration. These results illustrated that the production and reallocation of soluble sugars to stolons as well as the increased level of IAA in stolon nodes and internodes could contribute to the enhancement of stolon growth under elevated CO2 in creeping bentgrass. Full article
(This article belongs to the Special Issue Stress Biology of Turfgrass)
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<p>Effects of elevated CO<sub>2</sub> concentration on shoot phenotype (<b>A</b>,<b>B</b>) and shoot biomass (<b>C</b>) of creeping bentgrass at 42 d of experiment. Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. ** indicates a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.01. Error bars represent standard error (SE).</p>
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<p>Effects of elevated CO<sub>2</sub> concentration on stolon internode number (<b>A</b>), stolon internode length (<b>B</b>), and total stolon length (<b>C</b>) of creeping bentgrass at 42 d of experiment. Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. * and ** indicate a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.05 and <span class="html-italic">p</span> ≤ 0.01, respectively. Error bars represent standard error (SE).</p>
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<p>Effects of elevated CO<sub>2</sub> concentration on root phenotype (<b>A</b>,<b>B</b>), root biomass (<b>C</b>), and longest root length (<b>D</b>) of creeping bentgrass at 42 d of experiment. Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. ** indicates a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.01. Error bars represent standard error (SE).</p>
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<p>Effects of elevated CO<sub>2</sub> concentration on content of glucose (<b>A</b>,<b>E</b>,<b>I</b>), fructose (<b>B</b>,<b>F</b>,<b>J</b>), sucrose (<b>C</b>,<b>G</b>,<b>K</b>) and total soluble sugar (<b>D</b>,<b>H</b>,<b>L</b>) in the leaf (<b>A</b>–<b>D</b>), node (<b>E</b>–<b>H</b>), and internode (<b>I</b>–<b>L</b>) tissues of creeping bentgrass at 42 d of experiment. Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. Sugar contents are presented in the unit of mg g<sup>−1</sup> dry weight (DW). * and ** indicate a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.05 and <span class="html-italic">p</span> ≤ 0.01, respectively. Error bars represent standard error (SE).</p>
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<p>Effects of elevated CO<sub>2</sub> concentration on root content of glucose (<b>A</b>), fructose (<b>B</b>), sucrose (<b>C</b>) and total soluble sugar (<b>D</b>) in creeping bentgrass at 42 d of experiment. Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. Sugar contents are presented in the unit of mg g<sup>−1</sup> dry weight (DW). ** indicates a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.01. Error bars represent standard error (SE).</p>
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<p>Effects of elevated CO<sub>2</sub> concentration on content of IAA (<b>A</b>), iPA (<b>B</b>), GA<sub>1</sub> (<b>C</b>), GA<sub>3</sub> (<b>D</b>), and GA<sub>4</sub> (<b>E</b>) in the root, node, internode, and leaf tissues of creeping bentgrass at 42 d of experiment. Hormone contents are presented in the unit of ng g<sup>−1</sup> fresh weight (FW). Four hundred µmol mol<sup>−1</sup> (ppm) CO<sub>2</sub>, ambient CO<sub>2</sub> concentration; 800 ppm CO<sub>2</sub>, elevated CO<sub>2</sub> concentration. * and ** indicate a significant difference between ambient and elevated CO<sub>2</sub> concentrations according to Student’s <span class="html-italic">t</span>-test at <span class="html-italic">p</span> ≤ 0.05 and <span class="html-italic">p</span> ≤ 0.01, respectively. Error bars represent standard error (SE).</p>
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<p>Working model for elevated CO<sub>2</sub>-responsive metabolic pathways associated with soluble sugars and endogenous hormones in regulating stolon growth in creeping bentgrass.</p>
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14 pages, 1455 KiB  
Article
Phytochemical Constitution, Anti-Inflammation, Anti-Androgen, and Hair Growth-Promoting Potential of Shallot (Allium ascalonicum L.) Extract
by Warintorn Ruksiriwanich, Chiranan Khantham, Anurak Muangsanguan, Chuda Chittasupho, Pornchai Rachtanapun, Kittisak Jantanasakulwong, Yuthana Phimolsiripol, Sarana Rose Sommano, Korawan Sringarm, Emilia Ferrer and Francisco J. Barba
Plants 2022, 11(11), 1499; https://doi.org/10.3390/plants11111499 - 2 Jun 2022
Cited by 26 | Viewed by 7569
Abstract
In Thai folklore wisdom, shallot (Allium ascalonicum L.) was applied as a traditional herbal medicine for hair growth promotion with no scientific evidence. Androgenetic alopecia (AGA) is a progressive hair loss caused by multiple factors, including androgen hormones, inflammation, and oxidative stress. [...] Read more.
In Thai folklore wisdom, shallot (Allium ascalonicum L.) was applied as a traditional herbal medicine for hair growth promotion with no scientific evidence. Androgenetic alopecia (AGA) is a progressive hair loss caused by multiple factors, including androgen hormones, inflammation, and oxidative stress. Conventional medicines (finasteride, dutasteride, corticosteroids, and minoxidil) have been used with limited therapeutic efficacy and unpleasant side effects. In this study, we aimed to give the first estimation of bioactive compounds in shallot extract and evaluate the hair growth-promoting activities regarding anti-inflammatory and gene expression modulation involving androgen, Wnt/β-catenin, sonic hedgehog, and angiogenesis pathways. The results reveal that phenolic compounds (quercetin, rosmarinic, and p-coumaric acids) are the major constituents of the methanolic shallot extract. Compared with the lipopolysaccharide-stimulated control group (2.68 ± 0.13 µM), nitric oxide production was remarkably diminished by shallot extract (0.55 ± 0.06 µM). Shallot extract improves hair growth promotion activity, as reflected by the downregulation of the androgen gene expression (SRD5A1 and SRD5A2) and the upregulation of the genes associated with Wnt/β-catenin (CTNNB1), sonic hedgehog (SHH, SMO, and GIL1), and angiogenesis (VEGF) pathways. These findings disclose the new insights of shallot extract on hair growth promotions. Shallot extract could be further developed as nutraceutical, nutricosmetic, and cosmeceutical preparations for AGA treatment. Full article
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<p>Chromatogram of bioactive compounds in shallot extract analyzed by liquid chromatography–mass spectrometry (LC-MS).</p>
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<p>Cell viability of RAW 264.7 macrophage cells (RAW 264.7), DU-145 human prostate cancer cells (DU-145), and human hair follicle dermal papilla cells (hHFDPC) after shallot extract treatment for 24 h with different concentrations (0.02 to 2.5 mg/mL) was determined by sulforhodamine B (SRB) assay. Different letters (a, b, and c) indicate statistical differences (<span class="html-italic">p</span>-value &lt; 0.05) in the cell viability of each concentration.</p>
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<p>Effects of shallot extract (SE) and diclofenac sodium (DF) at the same concentration of 0.1 mg/mL on nitrite production in the lipopolysaccharide (LPS)-stimulated RAW 264.7 murine macrophages for 24 h compared to solvent-treated control without LPS (blank) and LPS-stimulated control (+LPS). Different letters (a and b) indicate statistical significance (<span class="html-italic">p</span> &lt; 0.05) in comparison to +LPS and DF.</p>
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<p>Effect of shallot extract (SE, 0.1 mg/mL) on expressions of genes associated with androgenetic alopecia: (<b>a</b>) <span class="html-italic">SRD5A1</span>; (<b>b</b>) <span class="html-italic">SRD5A2</span>; (<b>c</b>) <span class="html-italic">SRD5A3</span>; (<b>d</b>) <span class="html-italic">SHH</span>; (<b>e</b>) <span class="html-italic">SMO</span>; (<b>f</b>) <span class="html-italic">GIL1</span>; (<b>g</b>) <span class="html-italic">CTNNB1</span>; (<b>h</b>) <span class="html-italic">VEGF</span>. DU-145 human prostate cancer cells (DU-145) were used to observe the expressions of genes in the androgen pathway (<span class="html-italic">SRD5A</span> genes), whereas human hair follicle dermal papilla cells (hHFDPC) were used to study the remaining pathways. Different letters (a, b, and c) indicate statistical significance (<span class="html-italic">p</span> &lt; 0.05) in comparison to control, finasteride (0.1 mg/mL), dutasteride (0.1 mg/mL), purmorphamine (0.1 mg/mL), and minoxidil (0.1 mg/mL).</p>
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18 pages, 5165 KiB  
Article
Genome-Wide Identification of MDH Family Genes and Their Association with Salt Tolerance in Rice
by Yanhong Zhang, Yulong Wang, Xingming Sun, Jie Yuan, Zhiqiang Zhao, Jie Gao, Xiaorong Wen, Fusen Tang, Mintai Kang, Buhaliqem Abliz, Zhanying Zhang, Hongliang Zhang, Fengbin Wang and Zichao Li
Plants 2022, 11(11), 1498; https://doi.org/10.3390/plants11111498 - 2 Jun 2022
Cited by 15 | Viewed by 3545
Abstract
Malate dehydrogenase (MDH) is widely present in nature and regulates plant growth and development, as well as playing essential roles, especially in abiotic stress responses. Nevertheless, there is no comprehensive knowledge to date on MDH family members in rice. In this study, a [...] Read more.
Malate dehydrogenase (MDH) is widely present in nature and regulates plant growth and development, as well as playing essential roles, especially in abiotic stress responses. Nevertheless, there is no comprehensive knowledge to date on MDH family members in rice. In this study, a total of 12 MDH members in rice were identified through genome-wide analysis and divided into three groups on the basis of their phylogenetic relationship and protein-conserved motifs. Evolutionary analysis showed that MDH proteins from rice, maize and wheat shared a close phylogenetic relationship, and the MDH family was conserved in the long-term process of domestication. We identified two segmental duplication events involving four genes, which could be the major force driving the expansion of the OsMDH family. The expression profile, cis-regulatory elements and qRT-PCR results of these genes revealed that a few OsMDH showed high tissue specificity, almost all of which had stress response elements in the promoter region, and ten MDH members were significantly induced by salt stress. Through gene-based association analysis, we found a significant correlation between salt tolerance at the seedling stage and the genetic variation of OsMDH8.1 and OsMDH12.1. Additionally, we found that the polymorphism in the promoter region of OsMDH8.1 might be related to the salt tolerance of rice. This study aimed to provide valuable information on the functional study of the rice MDH gene family related to salt stress response and revealed that OsMDH8.1 might be an important gene for the cultivar improvement of salt tolerance in rice. Full article
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<p>Phylogenetic relationships, gene structures and conserved motif analysis of <span class="html-italic">MDH</span> genes in rice. (<b>a</b>) The phylogenetic tree was constructed based on the full-length sequences of rice MDH proteins. (<b>b</b>) The distribution of conserved motifs in OsMDH; the ten different colored boxes represent ten different motifs. (<b>c</b>) Exon-intron structures of the <span class="html-italic">OsMDHs</span> genes. Green boxes indicate exons; black lines indicate introns, the upstream/downstream area is indicated by a purple box. (<b>d</b>) Sequence logo of the MDH proteins motifs. The height of each amino acid represents the relative frequency of the amino acid at that position. (<b>e</b>) Segmental duplication events of <span class="html-italic">MDH</span> genes in the <span class="html-italic">Oryza sativa</span> L. The gray curves indicate all the collinearity blocks in the rice genome, and the red curves indicate the segmental duplication events of <span class="html-italic">OsMDH</span> genes.</p>
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<p>Phylogenetic tree of canonical <span class="html-italic">MDH</span> genes. (<b>a</b>) The phylogenetic tree was constructed by comparing the protein sequences of 54 <span class="html-italic">MDH</span> genes from five species, namely rice, maize, wheat, <span class="html-italic">Arabidopsis</span> and cotton. The red, yellow and blue branches represent groups I, II and III, respectively. Genes of rice are marked by red circles; genes of maize are marked by yellow triangles; genes of wheat are marked by pink squares; genes of <span class="html-italic">Arabidopsis</span> are marked by blue boxes; genes of cotton are marked by green triangles. A blue colored name indicates cloned genes associated with seed development, and a red colored name indicates cloned genes associated with salt response. (<b>b</b>) The phylogenetic tree was constructed by comparing the protein sequences of 48 <span class="html-italic">MDH</span> genes from <span class="html-italic">japonica</span>, <span class="html-italic">indica</span>, <span class="html-italic">Oryza rufipogon</span> and <span class="html-italic">Oryza nivara</span>. The red, yellow and blue branches represent groups I, II and III, respectively. Genes of <span class="html-italic">japonica</span> are marked by red circles; genes of <span class="html-italic">indica</span> are marked by yellow circles; genes of <span class="html-italic">Oryza rufipogon</span> are marked by green circles; genes of <span class="html-italic">Oryza nivara</span> are marked by blue circles. One thousand repeated boot values are displayed on each node, with the scale indicating the branch length.</p>
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<p>Putative regulatory <span class="html-italic">cis</span>-elements of <span class="html-italic">OsMDH</span> gene promoters. (<b>a</b>) The relative positions of cis-regulatory elements are shown on the line representing the 1500 bp upstream region of each <span class="html-italic">OsMDH</span> gene promoter. Only <span class="html-italic">cis</span>-elements required for MBS, G-box, DRE, Sp1, AT-TATA-box, STRE, CAAT-BOX, ABRE, as-1, MYC, MYB, and TATA-BOX are shown. (<b>b</b>) Percentage distribution of <span class="html-italic">cis</span>-regulatory elements in the promoters of <span class="html-italic">OsMDH</span> genes. (<b>c</b>) The distribution of various elements in the promoter regions of <span class="html-italic">OsMDH</span> genes are shown by different colors.</p>
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<p>Expression patterns of <span class="html-italic">OsMDH</span> gene family in rice. (<b>a</b>) The expression profiles of different tissues and development stages of <span class="html-italic">OsMDH</span> genes in rice without salt treatment. (<b>b</b>) Expression analysis of 12 <span class="html-italic">OsMDH</span> genes under salt stress by qRT-PCR. * and ** indicate a significant difference between the treatment and control at the 0.05 and 0.01 probability levels, respectively.</p>
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<p>Association analysis and haplotype analysis of <span class="html-italic">OsMDH12.1</span> and <span class="html-italic">OsMDH8.1</span> with rice salt tolerance. (<b>a</b>) Red dots represent significant SNPs detected in <span class="html-italic">OsMDH12.1</span> related to salt tolerance level, and a gene structure diagram is shown below it. (<b>b</b>) Seven <span class="html-italic">OsMDH12.1</span> haplotypes and their distribution in <span class="html-italic">indica</span> and <span class="html-italic">japonica</span>. The location of significant SNPs is indicated in red. (<b>c</b>) Phylogenetic tree for <span class="html-italic">OsMDH12.1</span> haplotypes developed by MEGA 7. (<b>d</b>) Red dots represent significant SNPs detected in <span class="html-italic">OsMDH8.1</span> related to salt tolerance level, and a gene structure diagram is shown below it. (<b>e</b>) Four <span class="html-italic">OsMDH8.1</span> haplotypes and their distribution in <span class="html-italic">indica</span> and <span class="html-italic">japonica</span>. The location of significant SNPs are indicated in red. (<b>f</b>) Phylogenetic tree for <span class="html-italic">OsMDH8.1</span> haplotypes developed by MEGA 7 with all the non-synonymous SNPs and significant SNPs. HAP2 is represented by red dots. (<b>g</b>) Comparison of salt tolerance level (STL) of <span class="html-italic">OsMDH8.1</span> haplotype (<b>h</b>) Relative <span class="html-italic">OsMDH8.1</span> expression level of the 93-11 (HAP2) and NIP (HAP4) in 0–48 h by salt stress. ** indicated significant difference (<span class="html-italic">p</span> &lt; 0.01) by student’s <span class="html-italic">t</span> test. 93-11 indicates <span class="html-italic">Indica</span> rice variety 93-11; NIP indicates <span class="html-italic">Japonica</span> variety Nipponbare; h indicates hours.</p>
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34 pages, 1930 KiB  
Review
Endophytes and Halophytes to Remediate Industrial Wastewater and Saline Soils: Perspectives from Qatar
by Bassam T. Yasseen and Roda F. Al-Thani
Plants 2022, 11(11), 1497; https://doi.org/10.3390/plants11111497 - 2 Jun 2022
Cited by 21 | Viewed by 4237
Abstract
Many halophytes are considered to be salt hyperaccumulators, adopting ion extrusion and inclusion mechanisms. Such plants, with high aboveground biomass, may play crucial roles in saline habitats, including soil desalination and phytoremediation of polluted soils and waters. These plants cause significant changes in [...] Read more.
Many halophytes are considered to be salt hyperaccumulators, adopting ion extrusion and inclusion mechanisms. Such plants, with high aboveground biomass, may play crucial roles in saline habitats, including soil desalination and phytoremediation of polluted soils and waters. These plants cause significant changes in some of the soil’s physical and chemical properties; and have proven efficient in removing heavy metals and metabolizing organic compounds from oil and gas activities. Halophytes in Qatar, such as Halopeplis perfoliata, Salicornia europaea, Salsola soda, and Tetraena qatarensis, are shown here to play significant roles in the phytoremediation of polluted soils and waters. Microorganisms associated with these halophytes (such as endophytic bacteria) might boost these plants to remediate saline and polluted soils. A significant number of these bacteria, such as Bacillus spp. and Pseudomonas spp., are reported here to play important roles in many sectors of life. We explore the mechanisms adopted by the endophytic bacteria to promote and support these halophytes in the desalination of saline soils and phytoremediation of polluted soils. The possible roles played by endophytes in different parts of native plants are given to elucidate the mechanisms of cooperation between these native plants and the associated microorganisms. Full article
(This article belongs to the Special Issue Phytoremediation: New Approaches and Perspectives)
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<p>Barriers at different locations of plant organs and tissues as an exclusion mechanism of ions: (A) at the surface of the roots, (B) between shoot system and root system, (C) between leaves and petioles or sheaths, and (D) between apical meristems and the remaining parts of the plant.</p>
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<p><span class="html-italic">Limonium axillare</span> thrives in salt marshes (<b>A</b>). Observe the salt crystals on the leaf surface in salt marshes (<b>B</b>). Salt glands secrete salts on the leaf surfaces through small holes.</p>
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<p>Scanning electron microscope (SEM) images of adaxial (the upper side) leaf surface of (<b>A</b>) <span class="html-italic">Limonium axillare</span> (note the blue asterisks as salt glands, red arrows as stomata), (<b>B</b>) <span class="html-italic">Avicennia marina</span> (note the blue asterisks as salt glands, with scattered salt crystals), and (<b>C</b>) <span class="html-italic">Atriplex</span> spp. (note the green arrows as ruptured salt bladders). Magnification ×400. N.B. Salt glands in <span class="html-italic">A. marina</span> are found on both leaf sides but are more numerous abaxially (lower side), small in number and large in size on the adaxial surface, and the opposite on the abaxial surface.</p>
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<p>Scanning electron microscope (SEM) images of adaxial (the upper side) leaf surface of (<b>A</b>) <span class="html-italic">Limonium axillare</span> (note the blue asterisks as salt glands, red arrows as stomata), (<b>B</b>) <span class="html-italic">Avicennia marina</span> (note the blue asterisks as salt glands, with scattered salt crystals), and (<b>C</b>) <span class="html-italic">Atriplex</span> spp. (note the green arrows as ruptured salt bladders). Magnification ×400. N.B. Salt glands in <span class="html-italic">A. marina</span> are found on both leaf sides but are more numerous abaxially (lower side), small in number and large in size on the adaxial surface, and the opposite on the abaxial surface.</p>
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21 pages, 3240 KiB  
Article
Transcriptome Mining Provides Insights into Cell Wall Metabolism and Fiber Lignification in Agave tequilana Weber
by Luis F. Maceda-López, Elsa B. Góngora-Castillo, Enrique Ibarra-Laclette, Dalia C. Morán-Velázquez, Amaranta Girón Ramírez, Matthieu Bourdon, José L. Villalpando-Aguilar, Gabriela Toomer, John Z. Tang, Parastoo Azadi, Jorge M. Santamaría, Itzel López-Rosas, Mercedes G. López, June Simpson and Fulgencio Alatorre-Cobos
Plants 2022, 11(11), 1496; https://doi.org/10.3390/plants11111496 - 2 Jun 2022
Cited by 3 | Viewed by 2854
Abstract
Resilience of growing in arid and semiarid regions and a high capacity of accumulating sugar-rich biomass with low lignin percentages have placed Agave species as an emerging bioenergy crop. Although transcriptome sequencing of fiber-producing agave species has been explored, molecular bases that control [...] Read more.
Resilience of growing in arid and semiarid regions and a high capacity of accumulating sugar-rich biomass with low lignin percentages have placed Agave species as an emerging bioenergy crop. Although transcriptome sequencing of fiber-producing agave species has been explored, molecular bases that control wall cell biogenesis and metabolism in agave species are still poorly understood. Here, through RNAseq data mining, we reconstructed the cellulose biosynthesis pathway and the phenylpropanoid route producing lignin monomers in A. tequilana, and evaluated their expression patterns in silico and experimentally. Most of the orthologs retrieved showed differential expression levels when they were analyzed in different tissues with contrasting cellulose and lignin accumulation. Phylogenetic and structural motif analyses of putative CESA and CAD proteins allowed to identify those potentially involved with secondary cell wall formation. RT-qPCR assays revealed enhanced expression levels of AtqCAD5 and AtqCESA7 in parenchyma cells associated with extraxylary fibers, suggesting a mechanism of formation of sclerenchyma fibers in Agave similar to that reported for xylem cells in model eudicots. Overall, our results provide a framework for understanding molecular bases underlying cell wall biogenesis in Agave species studying mechanisms involving in leaf fiber development in monocots. Full article
(This article belongs to the Special Issue Germplasm Resources and Breeding of Agave)
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Graphical abstract

Graphical abstract
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<p>Heatmap depicting expression profiles of orthologous genes involved with cellulose biosynthesis across several tissues/organs of <span class="html-italic">A. tequilana</span>. Genes enlisted on the left side are plant biosynthetic genes for cellulose according to the literature. <span class="html-italic">Sucrose PhosphateSsynthase</span> (<span class="html-italic">SPS</span>), <span class="html-italic">Sucrose Phosphate Phosphatase</span> (<span class="html-italic">SPP</span>), <span class="html-italic">Fructokinase</span> (<span class="html-italic">FK</span>), <span class="html-italic">Phosphoglucomutase</span> (<span class="html-italic">PGM</span>), <span class="html-italic">Sucrose Synthase</span> (<span class="html-italic">SUS</span>), <span class="html-italic">Hexokinase</span> (<span class="html-italic">HXK</span>), <span class="html-italic">UDP-Glucose Ppyrophosphorylase</span> (<span class="html-italic">UGP</span>), and <span class="html-italic">Cellulose Synthase</span> (<span class="html-italic">CESA</span>). At the bottom, the last row indicates the RNA-sequencing samples previously reported [<a href="#B16-plants-11-01496" class="html-bibr">16</a>]. SAM: Shoot apical meristem. Hierarchical clustering was conducted on the log (TPM+1). In the color key, yellow denotes high expression, black refers to medium, and blue denotes low expression.</p>
Full article ">Figure 2
<p>Heatmap of expression profiles of orthologous genes involved with lignin biosynthesis across several tissues/organs of <span class="html-italic">A. tequilana</span>. Genes enlisted on the left side are plant biosynthetic genes for lignin according to the literature. <span class="html-italic">L-Phenylalanine Ammonia-lyase</span> (<span class="html-italic">PAL</span>), <span class="html-italic">Cinnamic Acid 4-Hydroxylase</span> (<span class="html-italic">C4H</span>), <span class="html-italic">4-Hydroxycinnamate CoA Ligase</span> (<span class="html-italic">4CL</span>), <span class="html-italic">Caffeoyl Shikimate Esterase</span> (<span class="html-italic">CSE</span>), <span class="html-italic">Hydroxycinnamoyl CoA: Shikimate Hydroxycinnamoyl Transferase</span> (<span class="html-italic">HCT</span>), <span class="html-italic">Coumarate 3-Hydroxylase</span> (<span class="html-italic">C3H</span>), <span class="html-italic">Caffeoyl CoA 3-O-Methyltransferase</span> (<span class="html-italic">CCOAOMT</span>), <span class="html-italic">Cinnamoyl CoA Reductase</span> (<span class="html-italic">CRR</span>), <span class="html-italic">Ferulic Acid/coniferaldehyde 5-Hydroxylase</span> (<span class="html-italic">F5H</span>), <span class="html-italic">Caffeic Acid 3-O-Methyltransferase</span> (<span class="html-italic">COMT</span>), and <span class="html-italic">Cinnamyl Alcohol Dehydrogenase</span> (<span class="html-italic">CAD</span>). At the bottom, the last row indicates the RNA-sequencing samples previously reported [<a href="#B16-plants-11-01496" class="html-bibr">16</a>]. SAM: Shoot apical meristem. Hierarchical clustering was conducted on the log (TPM+1). In the color key, yellow denotes high expression, black refers to medium expression, and blue denotes low expression.</p>
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<p>Motif alignment of AtqCESAs with CESAs from other species. <span class="html-italic">Arabidopsis thaliana</span> (AtCESA), <span class="html-italic">Agave tequilana</span> (AtqCESA), <span class="html-italic">Zea mays</span> (ZmCESA), <span class="html-italic">Triticum aestivum</span> (TaCESA), and <span class="html-italic">Asparus officinalis</span> (AoCESA). Non-conserved residues are highlighted in blue.</p>
Full article ">Figure 4
<p>Motif alignment of AtqCADs with CADs from other species. <span class="html-italic">Arabidopsis thaliana,</span> (AtCAD) <span class="html-italic">Agave tequilana</span> (AtqCAD), <span class="html-italic">Zea mays</span> (ZmCAD), and <span class="html-italic">Triticum aestivum</span> (TaCAD). Non-conserved residues are highlighted in blue.</p>
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<p>Unrooted phylogenetic tree of the CESAs of <span class="html-italic">Agave tequilana</span> (AtqCESA), <span class="html-italic">Arabidopsis thaliana</span> (AtCESA), <span class="html-italic">Beta vulgaris</span> (BvCESA), <span class="html-italic">Eucalyptus grandis</span> (EgCESA), <span class="html-italic">Glycine max</span> (GmCESA), <span class="html-italic">Gossypium hirsutum</span> (GhCESA), <span class="html-italic">Hordeum vulgare</span> (HvCESA), <span class="html-italic">Oryza sativa</span> (OsCESA), <span class="html-italic">Populus trichocarpa</span> (PtCESA), <span class="html-italic">Solanum tuberosum</span> (StCESA), <span class="html-italic">Asparagus officinalis</span> (AoCESA), <span class="html-italic">Triticum aestivum</span> (TaCESA), and <span class="html-italic">Zea mays</span> (ZmCESA). The phylogenetic tree was inferred using a maximum likelihood method.</p>
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<p>Unrooted phylogenetic tree of the CADs from <span class="html-italic">Agave tequilana</span> (AtqCAD), <span class="html-italic">Zea mays</span> (ZmCAD), <span class="html-italic">Oryza sativa</span> (OsCAD), <span class="html-italic">Sorghum bicolor</span> (SbCAD), <span class="html-italic">Nicotiana tabacum</span> (NtCAD), <span class="html-italic">Pinus taeda</span> (PtCAD), <span class="html-italic">Brachypodium distachyon</span> (BdCAD), <span class="html-italic">Triticum aestivum</span> (TaCAD), and <span class="html-italic">Arabidopsis thaliana</span> (AtCAD).</p>
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<p>Key genes for cellulose and lignin have a high expression in cells surrounding fibers of A. tequilana leaves. (<b>A</b>) Sclerenchyma fibers surrounding vascular bundles. Heavily thickened secondary cells forming fiber caps walls were visualized in cross leaf sections after Toluidine Blue O (TBO) staining (left); lignification of fibers and xylem cells were visualized by lignin autofluorescence imaged by confocal laser scanning microscopy (LCSM) (middle). Cellulose was detected by Direct Red 23 staining and visualized by LCSM (right). (<b>B</b>) Monosaccharides analysis (left and middle) by high-performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and lignin quantification (left) by pyrolysis gas chromatography/mass spectrometry (py-MBMS) of sclerenchyma fibers and cell walls of whole leaf. FUC: Fuccose, RAM: ramose, ARA: arabinose, MAN: mannose, GA: galacturonic acid, GLU: glucose; XYL: xylose. (<b>C</b>) Scanning Electronic Microscopy (SEM) of fiber (left) and fibers-associated cells stained with propidium iodide and imaged by LSCM (right). (<b>D</b>) Expression levels of key genes for cellulose and lignin biosynthesis quantified by qPCR assays. Total RNAs isolated from whole leaf and fibers-associated cells were used for RT-qPCR assays (right). Glycerol-3-Phosphate Dehydrogenase (GPDH) was used as a load gene. Values are means ± SD. Asterisks indicate significant statistical differences between fibers/fibers-associated cells and whole leaf determined by Tukey’s HSD test (<span class="html-italic">p</span> ≤ 0.05).</p>
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7 pages, 956 KiB  
Communication
The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot
by Jana Palicová, Pavel Matušinsky, Veronika Dumalasová, Alena Hanzalová, Ivana Svačinová and Jana Chrpová
Plants 2022, 11(11), 1495; https://doi.org/10.3390/plants11111495 - 2 Jun 2022
Cited by 1 | Viewed by 1841
Abstract
The reaction of twenty-five winter wheat cultivars frequently grown in the Czech Republic to inoculation with Oculimacula yallundae and Oculimacula acuformis was evaluated in small plot trials from 2019 to 2021. The eyespot infection assessment was carried out visually using symptoms on stem [...] Read more.
The reaction of twenty-five winter wheat cultivars frequently grown in the Czech Republic to inoculation with Oculimacula yallundae and Oculimacula acuformis was evaluated in small plot trials from 2019 to 2021. The eyespot infection assessment was carried out visually using symptoms on stem bases and quantitative real-time polymerase chain reaction (qPCR). The cultivars were also tested for the presence of the resistance gene Pch1 using the STS marker Xorw1. Statistical differences were found between cultivars and between years. The lowest mean level of eyespot infection (2019–2021) was visually observed in cultivar Annie, which possessed resistance gene Pch1, and in cultivar Julie. Cultivars Turandot and RGT Sacramento were the most susceptible to eyespot. The method qPCR was able to distinguish two eyespot pathogens. O. yallundae was detected in higher concentrations in inoculated plants compared with O. acuformis. The relationship between the eyespot symptoms and the pathogen’s DNA content in plant tissues followed a moderate linear regression only in 2021. The highest eyespot infection rate was in 2020 due to weather conditions suitable for the development of the disease. Full article
(This article belongs to the Special Issue Cereal Fungal Diseases: Etiology, Breeding, and Integrated Management)
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Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The qPCR assessment of <span class="html-italic">Oculimacula yallundae</span> in the winter wheat cultivars (2019–2021). In the ANOVA with a multiple comparison Fisher´s LSD test (<span class="html-italic">p</span> &lt; 0.05), homogeneous groups are marked with the same letters.</p>
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<p>The qPCR assessment of <span class="html-italic">Oculimacula acuformis</span> in the winter wheat cultivars (2019–2021). The ANOVA was not statistically significant (ns).</p>
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