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Plants, Volume 12, Issue 11 (June-1 2023) – 165 articles

Cover Story (view full-size image): Plants need to coordinate growth and development with often scarce nutrient availability. Emerging research is revealing nutrient signaling networks that coordinate gene expression, metabolism, and development. Because a role for sucrose in the signaling of phosphate and other nutrient deficiencies has been proposed, we set out to unravel transcriptomic responses to sucrose signaling. We performed RNA-seq of soybean roots treated with sucrose for 20 min and 40 min, compared to non-sucrose-treated controls. Among sucrose-induced genes, we found a high proportion of genes involved in biotic and abiotic stress responses, particularly genes involved in signal transduction and transcriptional regulation. View this paper
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22 pages, 3614 KiB  
Article
Integrative Taxonomy of Armeria Taxa (Plumbaginaceae) Endemic to Sardinia and Corsica
by Manuel Tiburtini, Gianluigi Bacchetta, Marco Sarigu, Salvatore Cambria, Paolo Caputo, Daniele De Luca, Gianniantonio Domina, Alessia Turini and Lorenzo Peruzzi
Plants 2023, 12(11), 2229; https://doi.org/10.3390/plants12112229 - 5 Jun 2023
Cited by 6 | Viewed by 4170
Abstract
Sardinia and Corsica are two Mediterranean islands where the genus Armeria is represented by 11 taxa, 10 out of which are endemic. An integrative approach, using molecular phylogeny, karyology, and seed and plant morphometry was used to resolve the complex taxonomy and systematics [...] Read more.
Sardinia and Corsica are two Mediterranean islands where the genus Armeria is represented by 11 taxa, 10 out of which are endemic. An integrative approach, using molecular phylogeny, karyology, and seed and plant morphometry was used to resolve the complex taxonomy and systematics in this group. We found that several taxa are no longer supported by newly produced data. Accordingly, we describe a new taxonomic hypothesis that only considers five species: Armeria leucocephala and A. soleirolii, endemic to Corsica, and A. morisii, A. sardoa, and A. sulcitana, endemic to Sardinia. Full article
(This article belongs to the Special Issue Taxonomy and Nomenclature of Caryophyllales)
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<p>Distribution of the 10 taxa and 15 populations of <span class="html-italic">Armeria</span> taxa endemic to Sardinia and Corsica sampled in this study. Asterisk = type locality.</p>
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<p>Selected metaphasic plates of the 15 populations of <span class="html-italic">Armeria</span> taxa endemic to Sardinia and Corsica considered in this study. Arrows indicate the presence of satellites. Population codes as in <a href="#plants-12-02229-t001" class="html-table">Table 1</a>.</p>
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<p>Phylogenetic tree of <span class="html-italic">Armeria</span> taxa endemic to Sardinia and Corsica based on the concatenated dataset of nuclear (ITS) and plastidial markers (<span class="html-italic">trnH-psbA</span>, <span class="html-italic">trnL-rpl32</span>, <span class="html-italic">trnL-trnF</span>, <span class="html-italic">trnQ-rps16</span>). Population acronyms are as in <a href="#plants-12-02229-f001" class="html-fig">Figure 1</a>.</p>
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<p>PCoA illustrating the morphometric variation in <span class="html-italic">Armeria</span> species endemic to Sardinia and Corsica based on the Gower distance of the 49 characters measured. Symbols indicate the population acronyms (<a href="#plants-12-02229-t001" class="html-table">Table 1</a>), whereas the colors indicate the taxa at species level. Asterisk = type localities.</p>
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<p>Heatmap summarizing univariate statistically significant pairwise differences in <span class="html-italic">Armeria</span> taxa endemic to Sardinia and Corsica based on the 49 characters measured. Color intensity is related to the number of characters showing significant differences.</p>
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<p>Schematic and simplified representation of the different lines of evidence available for the circumscription of the <span class="html-italic">Armeria</span> taxa endemic to Sardinia and Corsica. Different shades of green indicate different groups suggested by every single line of evidence.</p>
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13 pages, 2128 KiB  
Article
Plant-Produced Nanoparticles Based on Artificial Self-Assembling Peptide Bearing the Influenza M2e Epitope
by Elena A. Blokhina, Eugenia S. Mardanova, Anna A. Zykova, Liudmila A. Stepanova, Marina A. Shuklina, Liudmila M. Tsybalova and Nikolai V. Ravin
Plants 2023, 12(11), 2228; https://doi.org/10.3390/plants12112228 - 5 Jun 2023
Cited by 2 | Viewed by 1981
Abstract
Despite advances in vaccine development, influenza remains a persistent global health threat and the search for a broad-spectrum recombinant vaccine against influenza continues. The extracellular domain of the transmembrane protein M2 (M2e) of the influenza A virus is highly conserved and can be [...] Read more.
Despite advances in vaccine development, influenza remains a persistent global health threat and the search for a broad-spectrum recombinant vaccine against influenza continues. The extracellular domain of the transmembrane protein M2 (M2e) of the influenza A virus is highly conserved and can be used to develop a universal vaccine. M2e is a poor immunogen by itself, but it becomes highly immunogenic when linked to an appropriate carrier. Here, we report the transient expression of a recombinant protein comprising four tandem copies of M2e fused to an artificial self-assembling peptide (SAP) in plants. The hybrid protein was efficiently expressed in Nicotiana benthamiana using the self-replicating potato virus X-based vector pEff. The protein was purified using metal affinity chromatography under denaturing conditions. The hybrid protein was capable of self-assembly in vitro into spherical particles 15–30 nm in size. The subcutaneous immunization of mice with M2e-carrying nanoparticles induced high levels of M2e-specific IgG antibodies in serum and mucosal secretions. Immunization provided mice with protection against a lethal influenza A virus challenge. SAP-based nanoparticles displaying M2e peptides can be further used to develop a recombinant “universal” vaccine against influenza A produced in plants. Full article
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)
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<p>Expression vector and recombinant protein. Scheme of the expression vector (<b>a</b>). RDRP, RNA-dependent RNA polymerase gene; Sgp1, the first promoter of subgenomic RNA of PVX; AMV, translational enhancer from alfalfa mosaic virus; 35S, promoter of the cauliflower mosaic virus RNA; Nos-T, terminator of the <span class="html-italic">A. tumefaciens</span> nopaline synthase gene; P24, gene of suppressor of silencing from grapevine leafroll-associated virus-2. 6H, hexahistidine tag; 19S, flexible glycine-rich linker; SAP, self-assembling peptide; SP, rigid helical linker; 4M2eh, four tandem copies of M2e peptide; RB and LB, the right and left borders of T-DNA region. Models of the three-dimensional structure of monomeric 19S_SAP_Sp_4M2eh protein and nanoparticles composed of 60 monomers (<b>b</b>).</p>
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<p>Expression of 19S_SAP_Sp_4M2eh protein in <span class="html-italic">N. benthamiana</span> plants. Coomassie brilliant blue-stained gel (<b>a</b>,<b>c</b>) and Western blotting with antibodies against M2e (<b>b</b>) of proteins isolated from plants. M, molecular weight marker (kD); Lanes: 1, total proteins isolated from non-infiltrated leaf; 2, total proteins isolated from leaf infiltrated with pEff/19S_SAP_Sp_4M2eh; 3, purified 19S_SAP_Sp_4M2eh protein. Position of 19S_SAP_Sp_4M2eh protein is shown by arrow. Photographs of <span class="html-italic">N. benthamiana</span> leaves infiltrated with pEff/19S_SAP_Sp_4M2eh on different dpi (<b>d</b>).</p>
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<p>Analysis of virus-like particles formed by 19S_SAP_Sp_4M2eh protein by atomic force microscopy (<b>a</b>) and transmission electron microscopy (<b>b</b>).</p>
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<p>Immunogenicity and protective efficiency of 19S_SAP_Sp_4M2eh nanoparticles. Titers of IgG antibodies to synthetic M2e peptide in sera (<b>a</b>) and BAL (<b>b</b>) of immunized mice after the third immunization. The values for 4 animals (circles and squares) and the geometric mean titers (horizontal lines) are shown. The survival rate (<b>c</b>) and body weight changes (<b>d</b>) of immunized and control (PBS) mice was monitored for 14 days post-challenge with 4 × LD<sub>50</sub> of A/Aichi/2/68 (H3N2) influenza A virus.</p>
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13 pages, 1202 KiB  
Article
Effects of Six Consecutive Years of Irrigation and Phosphorus Fertilization on Alfalfa Yield
by Xinle Li, Jingyuan An and Xiangyang Hou
Plants 2023, 12(11), 2227; https://doi.org/10.3390/plants12112227 - 5 Jun 2023
Cited by 3 | Viewed by 1786
Abstract
Alfalfa (Medicago satiua L.) is a major forage legume in semi-arid regions such as North China Plain and is the material foundation for the development of herbivorous animal husbandry. How to improve the yield of alfalfa per unit area from a technical [...] Read more.
Alfalfa (Medicago satiua L.) is a major forage legume in semi-arid regions such as North China Plain and is the material foundation for the development of herbivorous animal husbandry. How to improve the yield of alfalfa per unit area from a technical perspective and achieve high-yield cultivation of alfalfa is the focus of research by scientific researchers and producers. To evaluate the effects of irrigation and P fertilization as well as the P residual effect on alfalfa yield, we conducted a six-year (2008–2013) field experiment in loamy sand soil. There were four irrigation levels (W0: 0 mm, W1: 25 mm, W2: 50 mm, W3: 75 mm per time, four times a year) and three P fertilization levels (F0: 0 kg P2O5 ha−1, F1: 52.5 kg P2O5 ha−1, F2: 105 kg P2O5 ha−1 per time, twice a year). The highest dry matter yield (DMY) was obtained in the W2F2 treatment, with an annual mean of 13,961.1 kg ha−1. During 2009–2013, the DMY of first and second-cut alfalfa increased significantly with increasing irrigation levels, whereas the opposite pattern was observed in fourth-cut alfalfa. Regression analysis revealed that the optimal amount of water supply (sum of seasonal irrigation and rainfall during the growing season) to obtain maximum DMY was between 725 and 755 mm. Increasing P fertilization contributed to significantly higher DMY in each cut of alfalfa during 2010–2013 but not in the first two growing seasons. The mean annual DMY of W0F2, W1F2, W2F2, and W3F2 treatments was 19.7%, 25.6%, 30.7%, and 24.1% higher than that of W0F0 treatment, respectively. When no P fertilizer was applied in F2 plots in 2013, soil availability and total P concentrations, annual alfalfa DMY, and plant nutrient contents did not differ significantly compared with those in fertilized F2 plots. Results of this study suggest that moderate irrigation with lower annual P fertilization is a more environmentally sound management practice while maintaining alfalfa productivity in the semi-arid study area. Full article
(This article belongs to the Special Issue Grassland Ecosystems and Their Management)
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<p>Dry matter yield of different cut alfalfa under four irrigation levels in six consecutive years. Values with different lowercase letters in the same column were significantly different at the 0.05 level.</p>
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<p>Dry matter yield of different cut alfalfa under three P fertilization levels in six consecutive years. Values with different lowercase letters in the same column were significantly different at the 0.05 level.</p>
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<p>Differences in soil P concentration, alfalfa yield, and major nutrient contents between F2 (with P fertilization) and F2′ (with no P fertilization) treatments in 2013. Values with different lowercase letters in the same column were significantly different at the 0.05 level.</p>
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<p>Relationship between annual alfalfa yield and growing season water supply.</p>
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<p>Monthly rainfall and temperature at the experimental site (2008–2013).</p>
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13 pages, 727 KiB  
Review
Pathogenesis-Related Proteins (PRs) with Enzyme Activity Activating Plant Defense Responses
by Cristiane dos Santos and Octávio Luiz Franco
Plants 2023, 12(11), 2226; https://doi.org/10.3390/plants12112226 - 5 Jun 2023
Cited by 78 | Viewed by 8652
Abstract
Throughout evolution, plants have developed a highly complex defense system against different threats, including phytopathogens. Plant defense depends on constitutive and induced factors combined as defense mechanisms. These mechanisms involve a complex signaling network linking structural and biochemical defense. Antimicrobial and pathogenesis-related (PR) [...] Read more.
Throughout evolution, plants have developed a highly complex defense system against different threats, including phytopathogens. Plant defense depends on constitutive and induced factors combined as defense mechanisms. These mechanisms involve a complex signaling network linking structural and biochemical defense. Antimicrobial and pathogenesis-related (PR) proteins are examples of this mechanism, which can accumulate extra- and intracellular space after infection. However, despite their name, some PR proteins are present at low levels even in healthy plant tissues. When they face a pathogen, these PRs can increase in abundance, acting as the first line of plant defense. Thus, PRs play a key role in early defense events, which can reduce the damage and mortality caused by pathogens. In this context, the present review will discuss defense response proteins, which have been identified as PRs, with enzymatic action, including constitutive enzymes, β-1,3 glucanase, chitinase, peroxidase and ribonucleases. From the technological perspective, we discuss the advances of the last decade applied to the study of these enzymes, which are important in the early events of higher plant defense against phytopathogens. Full article
(This article belongs to the Special Issue Defense-Related Proteins of Higher Plants)
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<p>Initial plant defense response in plant–pathogen interaction. At first, the pathogen is recognized on the plant cell wall surface. Then, the elicitors activate a signaling network, where defense genes are activated to produce PR proteins that accumulate and act in the degradation of the pathogenic cell (i.e., β-1,3-gluc and chit; the degradation products of these enzymes can also act as elicitors). The oxidative buster mediates the generation of ROS in an attempt to limit the spread of the pathogen. PRs (i.e., β-1,3-glucanases, chitinases, PRXs, PR10 together with Phyx) are able to induce a hypersensitivity response to prevent the spread of the pathogen to other tissues, releasing elicitors that induce the plant’s defense mechanism. PR10, RBPs and RIPs are also produced by the plant, mediating virus infection. NB-LRR and PR10 act together in gene defense induction. PRX, peroxidase; PRs, pathogen-related proteins; Chit, chitinase; ROS, reactive oxygen species; Phyx, phytoalexin; β-1,3-gluc, β-1,3-glucanases; Ethy, ethylene; JA, jasmonic acid; LRR-RLK, leucine-rich repeat receptor-like protein kinase; NB-LRR, nucleotide-binding and leucine-rich repeat; RBPs, RNA-binding proteins; RIPs, ribosome-inactivating proteins.</p>
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28 pages, 6036 KiB  
Article
An Accurate Classification of Rice Diseases Based on ICAI-V4
by Nanxin Zeng, Gufeng Gong, Guoxiong Zhou and Can Hu
Plants 2023, 12(11), 2225; https://doi.org/10.3390/plants12112225 - 5 Jun 2023
Cited by 20 | Viewed by 3575
Abstract
Rice is a crucial food crop, but it is frequently affected by diseases during its growth process. Some of the most common diseases include rice blast, flax leaf spot, and bacterial blight. These diseases are widespread, highly infectious, and cause significant damage, posing [...] Read more.
Rice is a crucial food crop, but it is frequently affected by diseases during its growth process. Some of the most common diseases include rice blast, flax leaf spot, and bacterial blight. These diseases are widespread, highly infectious, and cause significant damage, posing a major challenge to agricultural development. The main problems in rice disease classification are as follows: (1) The images of rice diseases that were collected contain noise and blurred edges, which can hinder the network’s ability to accurately extract features of the diseases. (2) The classification of disease images is a challenging task due to the high intra-class diversity and inter-class similarity of rice leaf diseases. This paper proposes the Candy algorithm, an image enhancement technique that utilizes improved Canny operator filtering (the gravitational edge detection algorithm) to emphasize the edge features of rice images and minimize the noise present in the images. Additionally, a new neural network (ICAI-V4) is designed based on the Inception-V4 backbone structure, with a coordinate attention mechanism added to enhance feature capture and overall model performance. The INCV backbone structure incorporates Inception-iv and Reduction-iv structures, with the addition of involution to enhance the network’s feature extraction capabilities from a channel perspective. This enables the network to better classify similar images of rice diseases. To address the issue of neuron death caused by the ReLU activation function and improve model robustness, Leaky ReLU is utilized. Our experiments, conducted using the 10-fold cross-validation method and 10,241 images, show that ICAI-V4 has an average classification accuracy of 95.57%. These results indicate the method’s strong performance and feasibility for rice disease classification in real-life scenarios. Full article
(This article belongs to the Collection Application of AI in Plants)
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<p>Process of acquisition, transmission, enhancement (flip, crop), and preprocessing of four rice disease images.</p>
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<p>Main flow chart of rice disease classification.</p>
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<p>Main process of rice leaf image processing with Candy algorithm.</p>
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<p>Picture utilizing the gravitational edge detection algorithm and Candy algorithm for processing rice leaf images.</p>
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<p>Block diagram of ICAI-V4 model. It includes INCV blocks and coordinate attention network structure.</p>
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<p>Schematic diagram of involution.</p>
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<p>Accuracy of 10-fold cross-validation training results.</p>
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<p>Classification confusion matrix of citrus diseases by different models (the models corresponding to the (<b>A</b>–<b>G</b>) confusion matrix are: AlexNet, ResNet50, Inceptionv4, ResNeXt, MobileNetv3, DenseNet121, and ICAI-V4).</p>
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14 pages, 2032 KiB  
Article
Synchronous Changes of GPP and Solar-Induced Chlorophyll Fluorescence in a Subtropical Evergreen Coniferous Forest
by Mingming Wang and Leiming Zhang
Plants 2023, 12(11), 2224; https://doi.org/10.3390/plants12112224 - 5 Jun 2023
Cited by 1 | Viewed by 1820
Abstract
Using in situ near-surface observations of solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP) of a subtropical evergreen coniferous forest in southern China, this study analyzed the dynamics of SIF, GPP and their environmental responses, and explored the potential of SIF in [...] Read more.
Using in situ near-surface observations of solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP) of a subtropical evergreen coniferous forest in southern China, this study analyzed the dynamics of SIF, GPP and their environmental responses, and explored the potential of SIF in characterizing the variation of GPP. The results showed that SIF and GPP have similar diurnal and seasonal variation and both reach the highest value in summer, indicating that the SIF can be applied to indicate the seasonal variation of GPP for the subtropical evergreen co-niferous. With the increase in temporal scale, the correlation between SIF and GPP becomes more linear. The diurnal variations of both SIF and GPP were characterized by photosynthetically active radiation (PAR), the seasonal variations of SIF and GPP were influenced by air temperature (Ta) and PAR. Probably due to the absent of drought stress during the study period, no significant correlation was detected between soil water content (SWC) and either SIF or GPP. With the in-crease in Ta, PAR or SWC, the linear correlation between the SIF and GPP gradually decreased, and when Ta or PAR was relatively higher, the correlation between SIF and GPP become weakly. Further research is still needed to illustrate the relationship between SIF and GPP under drought condition which occurred frequently in this region based on longer observation. Full article
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<p>Diurnal variations in SIF, GPP and environmental variables, including gross primary production (GPP, orange line), Solar-induced fluorescence (SIF, black dot), photosynthetically active radiation (PAR, green line), air temperature (Ta, purple line) and soil water content (SWC, open circle), in (<b>a</b>) winter; (<b>b</b>) spring; (<b>c</b>) summer; and (<b>d</b>) from January to August in 2021.</p>
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<p>Seasonal variation in SIF, GPP and environmental variables. Rainfall (grey bar) and SWC (open circle) in upper panel; PAR (open triangle) and Ta (open circle) in middle panel; SIF (open triangle) and GPP (open circle) in lower panel.</p>
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<p>Correlation of SIF-GPP at different time scales: (<b>a</b>) daily; (<b>b</b>) 8-day; (<b>c</b>) monthly.</p>
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<p>Correlation between SIF, GPP, and environmental variables on daily scale: Each point represents the daily average value.</p>
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<p>The influence of different environmental variables on SIF–GPP correlation.</p>
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<p>The influence of PAR on GPP on 8-day and monthly scales.</p>
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<p>Vegetation landscape of Qianyanzhou Station.</p>
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<p>Fluorescent equipment installation.</p>
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20 pages, 4036 KiB  
Article
Orchidaceae in Puglia (Italy): Consistency, Distribution, and Conservation
by Alessio Turco, Antonella Albano, Pietro Medagli, Saverio D’Emerico and Robert Philipp Wagensommer
Plants 2023, 12(11), 2223; https://doi.org/10.3390/plants12112223 - 5 Jun 2023
Cited by 6 | Viewed by 1731
Abstract
A study of the distribution of orchid species in Puglia, based on an analysis of 2084 bibliographic reports from 2000 to 2022, was carried out with the aim of revising and updating the information on the consistency of the Orchidaceae family in Puglia, [...] Read more.
A study of the distribution of orchid species in Puglia, based on an analysis of 2084 bibliographic reports from 2000 to 2022, was carried out with the aim of revising and updating the information on the consistency of the Orchidaceae family in Puglia, with a special focus on assessing threatened species occurring inside and outside protected areas. The work presents a checklist of the Orchidaceae taxa (genera, species, and subspecies) found in the region, including observations on genera and species that present taxonomic challenges. A total of 113 taxa (i.e., species and subspecies), distributed across 16 genera, are listed in alphabetical order. The most representative genera were Ophrys (51 taxa), Serapias (15 taxa), and Epipactis (11 taxa). Additionally, 49 taxa (43.4%) were found to be endemic to Italy, with 21 of these, mostly belonging to the Ophrys genus, being exclusive to Puglia. Our study notes two different trends of distribution: a predominantly coastal distribution for orchid records located in southern Puglia (the Salento peninsula) and a more widespread distribution for the other provinces. Our study also shows that the greatest number of records locate orchids in protected areas with a positive correlation between their presence and habitats cited in Directive 92/43/EEC. Full article
(This article belongs to the Special Issue Diversity and Phylogenetic Relationships of Vascular Plants)
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<p>Orchid genera across Puglia based on the examined 2084 records.</p>
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<p>Distribution of orchid genera (based on the examined 2084 records) and protected areas across Puglia.</p>
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<p>Percentage (%) of orchid genera in Puglia present in each province.</p>
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<p>Percentage (%) of orchid taxa (species and subspecies) in Puglia by province.</p>
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16 pages, 2988 KiB  
Article
Bohemian Knotweed Reynoutria × bohemica Chrtek et Chrtková Seems Not to Rely Heavily on Allelopathy for Its Persistence in Invaded Sites in the Southwest Part of the Zagreb, Croatia
by Damjana Levačić, Lucia Perković, Nina Vuković and Sven D. Jelaska
Plants 2023, 12(11), 2222; https://doi.org/10.3390/plants12112222 - 5 Jun 2023
Cited by 5 | Viewed by 1872
Abstract
Notorious invasive Bohemian knotweed Reynoutria × bohemica Chrtek et Chrtková is a hybrid of two species, Reynoutria japonica Houtt. and Reynoutria sachalinensis (F. S. Petrop.) Nakai in T. Mori which spontaneously developed in Europe, outside the natural distribution of its parental species. Its [...] Read more.
Notorious invasive Bohemian knotweed Reynoutria × bohemica Chrtek et Chrtková is a hybrid of two species, Reynoutria japonica Houtt. and Reynoutria sachalinensis (F. S. Petrop.) Nakai in T. Mori which spontaneously developed in Europe, outside the natural distribution of its parental species. Its success could potentially lie in its allelopathic activity, which was confirmed in a number of experiments conducted with the leaf and root exudates, testing their effect on the germination and growth of various test plants. Here, we tested its allelopathic potential using different concentrations of leaf exudates on two test plants, Triticum aestivum L. and Sinapis alba L., in Petri dishes and pots with soil and by growing test plants in the soil sampled in knotweed stands on the edges of stands and outside of stands. Tests in Petri dishes and pots with soil to which leaf exudates were added have shown a decrease in germination and growth in comparison to the control, hence confirming the allelopathic effect. However, this was not confirmed in a test with in situ soil samples, where no statistically significant differences were observed, neither in the growth of test plants nor in the chemical characteristics (pH, soil organic matter, humus content) of the soil. Therefore, the persistence of Bohemian knotweed at already invaded sites could be attributed to its efficient use of resources (light and nutrients) through which it outcompetes native plants. Full article
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<p>Growth parameters ((<b>A</b>)—length; (<b>B</b>)—fresh mass, (<b>C</b>)—dry mass, (<b>D</b>)—dry/fresh mass ratio) of <span class="html-italic">Sinapis alba</span> shoots grown in pots with soil with two treatments (watering with rey5–0.05 and rey10–0.1 g/mL of Bohemian knotweed leaf exudates) and control (distilled water). Statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) indicated with different letters.</p>
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<p>Growth parameters ((<b>A</b>)—length; (<b>B</b>)—fresh mass, (<b>C</b>)—dry mass, (<b>D</b>)—dry/fresh mass ratio) of <span class="html-italic">Triticum aestivum</span> shoots grown in pots with soil with two treatments (watering with rey5–0.05 and rey10–0.1 g/mL of Bohemian knotweed leaf exudates) and control (distilled water). Statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) indicated with different letters.</p>
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<p>Growth parameters of <span class="html-italic">Sinapis alba</span> (<b>A</b>–<b>C</b>) and <span class="html-italic">Triticum aestivum</span> (<b>D</b>) shoots grown in pots with soil sampled in triplicates on each site, inside the stand, at the edge of the stand, and controls outside the stand of <span class="html-italic">R.</span> × <span class="html-italic">bohemica,</span> for which there were statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) indicated with different letters.</p>
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<p>Locations (Mladost, Nasip, Kajzerica) of soil sampling sites for testing the potential impact of Bohemian knotweed on the soil chemistry and allelopathic effects on other plant species. Inner map presents position of Zagreb, Croatia.</p>
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<p>Soil sampling pattern for testing the potential impact of Bohemian knotweed on the soil chemistry and allelopathic effects on other plant species. Photograph taken at Kajzerica site (Photo by Sven D. Jelaska).</p>
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24 pages, 3757 KiB  
Article
Synergistic Effects of Kaolin and Silicon Nanoparticles for Ameliorating Deficit Irrigation Stress in Maize Plants by Upregulating Antioxidant Defense Systems
by Alshymaa Z. Al-Mokadem, Mohamed H. Sheta, Ahmed G. Mancy, Hebat-Allah A. Hussein, Sahar K. M. Kenawy, Ahmed R. Sofy, Mahmoud S. Abu-Shahba, Hesham M. Mahdy, Mahmoud R. Sofy, Alaa Fathy Al Bakry and Mona S. Agha
Plants 2023, 12(11), 2221; https://doi.org/10.3390/plants12112221 - 5 Jun 2023
Cited by 15 | Viewed by 2674
Abstract
Water deficit is a significant environmental stress that has a negative impact on plant growth and yield. In this research, the positive significance of kaolin and SiO2 nanoparticles in moderating the detrimental effects of water deficit on maize plant growth and yield [...] Read more.
Water deficit is a significant environmental stress that has a negative impact on plant growth and yield. In this research, the positive significance of kaolin and SiO2 nanoparticles in moderating the detrimental effects of water deficit on maize plant growth and yield is investigated. The foliar application of kaolin (3 and 6%) and SiO2 NPs (1.5 and 3 mM) solutions increased the growth and yield variables of maize plants grown under normal conditions (100% available water) and drought stress conditions (80 and 60% available water (AW)). In addition, plants treated with SiO2 NPs (3 mM) demonstrated increased levels of important osmolytes, such as proline and phenol, and maintained more of their photosynthetic pigments (net photosynthetic rate (PN), stomatal conductance (gs), intercellular CO2 concentration (Ci), and transpiration rate (E)) than with other applied treatments under either stress or non-stress conditions. Furthermore, the exogenous foliar application of kaolin and SiO2 NPs also reduced the amounts of hydroxyl radicals (OH), superoxide anions (O2), hydrogen peroxide (H2O2), and lipid peroxidation in maize plants experiencing a water deficit. In contrast, the treatments led to an increase in the activity of antioxidant enzymes such as peroxidase (POX), ascorbate peroxidase (APX), glutathione peroxidase (GR), catalase (CAT), and superoxide dismutase (SOD). Overall, our findings indicate the beneficial impact of the application of kaolin and silicon NPs, particularly the impact of SiO2 NPs (3 mM) on managing the negative, harmful impacts of soil water deficit stress in maize plants. Full article
(This article belongs to the Special Issue The Impacts of Abiotic Stresses on Plant Development 2.0)
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<p>Effects of foliar applications of kaolin and SiO<sub>2</sub> NPs on (<b>a</b>) plant height, (<b>b</b>) ear length, (<b>c</b>) ear diameter, (<b>d</b>) number of grains per ear, (<b>e</b>) 100-grain weight, and (<b>f</b>) grain yield of maize grown with available water (100%, 80%, and 60% AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a</b>–<b>e</b>) Effects of foliar application of kaolin and SiO<sub>2</sub> NPs on (<b>a</b>) SPAD chlorophyll values, (<b>b</b>) net photosynthetic rate, (<b>c</b>) stomatal conductance, (<b>d</b>) intercellular CO<sub>2</sub> concentration, and (<b>e</b>) transpiration rate of maize grown under available water (100%, 80%, and 60% AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a</b>–<b>d</b>) Effects of foliar application of kaolin and SiO<sub>2</sub> NPs on (<b>a</b>) lipid peroxidation (MDA), (<b>b</b>) hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), (<b>c</b>) hydroxyl radicals (OH), and (<b>d</b>) superoxide anion (O<sub>2</sub>) of maize grown with different amounts of available water (100%, 80%, and 60% AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a</b>–<b>d</b>) Effects of foliar application of kaolin and SiO<sub>2</sub> NPs on (<b>a</b>) proline, (<b>b</b>) phenol, (<b>c</b>) ascorbic acid, and (<b>d</b>) glutathione of maize grown with different amounts of available water (100%, 80%, and 60% AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a</b>–<b>e</b>) Effects of foliar application of kaolin, SiO<sub>2</sub> NPs on (<b>a</b>) superoxide dismutase activity (SOD), (<b>b</b>) peroxidase activity (POX), (<b>c</b>) catalase activity (CAT), (<b>d</b>) ascorbate peroxidase activity (APX), and (<b>e</b>) glutathione reductase activity (GR) of maize grown under different available water conditions (100%, 80%, and 60% of the AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a–d</b>) Effects of foliar application of kaolin and SiO<sub>2</sub> NPs on (<b>a</b>) nitrogen (N), (<b>b</b>) phosphorous (P), (<b>c</b>) potassium (K), and (<b>d</b>) silicon (Si) of maize grown under different available water conditions (100%, 80%, and 60% AW). Fisher’s multiple range test indicates significant differences between means in each bar (<span class="html-italic">p</span> &lt; 0.05). ** and *** indicate differences at <span class="html-italic">p</span> &lt; 0.05 and <span class="html-italic">p</span> &lt; 0.01 probability levels, respectively.</p>
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<p>(<b>a</b>) An analysis of the correlations between treatment variables in maize plants using principal component analysis (PCA). (<b>b</b>) Based on the mean values of different parameters reported in this study, the heat map confirms the association between quantitative statistical parameters. PH; plant height, EL, ear length; ED, ear diameter; GE, number of grains per ear<sup>−1</sup>; GM, 100-grain mass; GY, grain yield; A, net photosynthetic rate; B, stomatal conductance; C, intercellular CO<sub>2</sub> concentration; D, transpiration rate.</p>
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<p>(<b>a</b>) TEM images of the prepared SiO<sub>2</sub> NPs; (<b>b</b>) XRD pattern of the prepared SiO<sub>2</sub> NPs.</p>
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15 pages, 4720 KiB  
Article
BIC2, a Cryptochrome Function Inhibitor, Is Involved in the Regulation of ABA Responses in Arabidopsis
by Yating Wang, Wei Wang, Qiming Jia, Hainan Tian, Xutong Wang, Yingying Li, Saddam Hussain, Hadia Hussain, Tianya Wang and Shucai Wang
Plants 2023, 12(11), 2220; https://doi.org/10.3390/plants12112220 - 5 Jun 2023
Cited by 2 | Viewed by 1950
Abstract
The plant hormone ABA (abscisic acid) is able to regulate plant responses to abiotic stresses via regulating the expression of ABA response genes. BIC1 (Blue-light Inhibitor of Cryptochromes 1) and BIC2 have been identified as the inhibitors of plant cryptochrome functions, and are [...] Read more.
The plant hormone ABA (abscisic acid) is able to regulate plant responses to abiotic stresses via regulating the expression of ABA response genes. BIC1 (Blue-light Inhibitor of Cryptochromes 1) and BIC2 have been identified as the inhibitors of plant cryptochrome functions, and are involved in the regulation of plant development and metabolism in Arabidopsis . In this study, we report the identification of BIC2 as a regulator of ABA responses in Arabidopsis . RT-PCR (Reverse Transcription-Polymerase Chain Reaction) results show that the expression level of BIC1 remained largely unchanged, but that of BIC2 increased significantly in response to ABA treatment. Transfection assays in Arabidopsis protoplasts show that both BIC1 and BIC2 were mainly localized in the nucleus, and were able to activate the expression of the co-transfected reporter gene. Results in seed germination and seedling greening assays show that ABA sensitivity was increased in the transgenic plants overexpressing BIC2, but increased slightly, if any, in the transgenic plants overexpressing BIC1. ABA sensitivity was also increased in the bic2 single mutants in seedling greening assays, but no further increase was observed in the bic1 bic2 double mutants. On the other hand, in root elongation assays, ABA sensitivity was decreased in the transgenic plants overexpressing BIC2, as well as the bic2 single mutants, but no further decrease was observed in the bic1 bic2 double mutants. By using qRT-PCR (quantitative RT-PCR), we further examined how BIC2 may regulate ABA responses in Arabidopsis , and found that inhibition of ABA on the expression of the ABA receptor genes PYL4 (PYR1-Like 4) and PYL5 were decreased, but promotion of ABA on the expression of the protein kinase gene SnRK2.6 (SNF1-Related Protein Kinases 2.6) was enhanced in both the bic1 bic2 double mutants and 35S:BIC2 overexpression transgenic plants. Taken together, our results suggest that BIC2 regulates ABA responses in Arabidopsis possibly by affecting the expression of ABA signaling key regulator genes. Full article
(This article belongs to the Special Issue Trends and Prospects of Genetic and Molecular Research in Plant)
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<p>Expression of <span class="html-italic">BICs</span> in response to ABA treatment. Fourteen-day-old seedlings of the Col wild type <span class="html-italic">Arabidopsis</span> were mock-treated or treated with 50 μM ABA on a shaker at 40 rpm for 4 h in darkness. RNA was then isolated and used for RT-PCR analysis with 30 cycles to examine the expression of <span class="html-italic">BIC1</span> and <span class="html-italic">BIC2</span>. The expression <span class="html-italic">ACT2</span> was used as a control.</p>
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<p>Subcellular localization and transcriptional activities of BIC1 and BIC2. (<b>A</b>) Subcellular localization of BIC1 and BIC2. Plasmids of the <span class="html-italic">GFP-BIC1</span> and <span class="html-italic">GFP-BIC2</span> genes were co-transfected, respectively, with the nuclear indicator gene <span class="html-italic">NLS-RFP</span> into <span class="html-italic">Arabidopsis</span> protoplasts isolated from the Col wild type plants. The transfected protoplasts were incubated in dark for 18–20 h at room temperature, and then GFP and RFP fluorescence were examined under a fluorescence microscope. (<b>B</b>) Transcriptional activities of BIC1 and BIC2. Plasmids of the effector genes <span class="html-italic">GD</span>, <span class="html-italic">GD-BIC1</span>, and <span class="html-italic">GD-BIC2</span> were co-transfected, respectively with the reporter gene <span class="html-italic">Gal4:GUS</span> into <span class="html-italic">Arabidopsis</span> protoplasts isolated from the Col wild type plants. The transfected protoplasts were incubated in dark for 20–22 h at room temperature, and then GUS activity was assayed by using a microplate reader. Data represent the mean ± SD of three replicates.</p>
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<p>Generation of overexpression transgenic plants and gene edited mutants of <span class="html-italic">BICs</span>. (<b>A</b>) Expression level of <span class="html-italic">BICs</span> in the overexpression transgenic plants. RNA was isolated from 14-day-old seedlings and used for RT-PCR and q-RT-PCR analysis. The expression <span class="html-italic">ACT2</span> was used as a control for RT-PCR analysis and an inner control for qRT-PCR analysis. In the qRT-PCR analysis, the expression level of <span class="html-italic">BIC1</span>/<span class="html-italic">BIC2</span> in the Col was set as 1. Lanes without numbers indicated homozygous lines did not used in the experiments. (<b>B</b>) Alignment of the nucleotide sequences of <span class="html-italic">BIC1</span> and <span class="html-italic">BIC2</span> in Col wild type, the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single, and the <span class="html-italic">bic1 bic2</span> double mutants. The <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single mutants were obtained by transforming the Col wild type plants with <span class="html-italic">pHEE-BIC1</span> and <span class="html-italic">pHEE-BIC2</span> constructs, respectively, and the <span class="html-italic">bic1 bic2</span> double mutants were obtained by transforming the <span class="html-italic">bic1-1</span> single mutant plants with the <span class="html-italic">pHEE-BIC2</span> construct. DNA was isolated from leaves of T2 or T3 plants and used for PCR amplification of <span class="html-italic">Cas9</span> to identify transgene-free mutants and for amplification of <span class="html-italic">BIC1</span> and <span class="html-italic">BIC2</span> for sequencing to identify homozygous mutants. The sequencing results of the homozygous mutants were aligned with wild type genome sequence of <span class="html-italic">BIC1</span> and <span class="html-italic">BIC2</span>. Underlines indicate the PAM sites. (<b>C</b>) Alignment of the amino acid sequences of BIC1 and BIC2 in the Col wild type, the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single, and the <span class="html-italic">bic1 bic2</span> double mutants. Coding sequences of <span class="html-italic">BIC1</span> and <span class="html-italic">BIC2</span> in the mutants were subjected to ORFfinder (<a href="https://www.ncbi.nlm.nih.gov/orffinder/" target="_blank">https://www.ncbi.nlm.nih.gov/orffinder/</a> (accessed on 1 June 2019)) for ORF analysis, and predicted amino acid sequences were used for alignment with the amino acid sequences of wild type BIC1 and BIC2, respectively. Identical amino acids are shaded in black and similar in gray.</p>
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<p>Hypocotyl length of light- and dark-grown seedlings of the Col wild type, and the overexpression transgenic plants and mutants of <span class="html-italic">BICs</span>. (<b>A</b>) Images of representative light- and dark-grown seedlings. Sterilized seeds of the Col wild type, the <span class="html-italic">35S:BIC1</span> and <span class="html-italic">35S:BIC2</span> transgenic plants, the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single, and the <span class="html-italic">bic1 bic2</span> double mutants were germinated and grown on vertically placed ½ MS plates solidified with 1.5% agar in a growth room under light for 5 days or dark condition for 7 days, then photographed using a digital camera. (<b>B</b>) Hypocotyl length of light- and dark-grown seedlings. Hypocotyl length of 5-day-old light-grown seedlings or 7-day-old dark-grown seedlings on vertically placed ½ MS plates was measured. Data represent the mean ± SD of 15–18 seedlings.</p>
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<p>Effects of ABA on seed germination of the Col wild type, and the overexpression transgenic plants and mutants of <span class="html-italic">BICs</span> in response to ABA treatment. Sterilized seeds of the Col wild type, the <span class="html-italic">35S:BIC1</span> and <span class="html-italic">35S:BIC2</span> transgenic plants, the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single, and the <span class="html-italic">bic1 bic2</span> double mutants were plated on 1.0% agar solidified ½ MS plates with or without 1 μM ABA. The plates were kept at 4 °C for 2 days in darkness, and then transferred to a growth room. The number of seeds germinated was counted every 12 h started 12 h after the transfer for control plates and 36 h after for ABA treated plates, and percentage of germination was calculated. Data represent the mean ± SD of four replicates.</p>
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<p>Seedling greening and percentage of green seedlings of the Col wild type, the overexpression transgenic plants, and mutants of <span class="html-italic">BICs</span> in response to ABA treatment. (<b>A</b>) Representative images of seedling of the Col wild type, and the overexpression transgenic plants and single mutants of <span class="html-italic">BICs</span> in control and ABA plates. Sterilized seeds of the Col wild type, the <span class="html-italic">35S:BIC1</span> and <span class="html-italic">35S:BIC2</span> transgenic plants, and the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single mutants were plated on 1.0% agar solidified ½ MS plates with or without 1 µM ABA. The plates were kept at 4 °C for 2 days in darkness, and then transferred to a growth room. Pictures were taken 14 days after the transfer. (<b>B</b>) Representative images of seedling of the Col wild type, and the overexpression transgenic plants and double mutants of <span class="html-italic">BICs</span> in control and ABA plates. Sterilized seeds of the Col wild type, the <span class="html-italic">35S:BIC1</span> #10 transgenic plants, and the <span class="html-italic">bic1 bic2</span> double mutants were plated on 1.0% agar solidified ½ MS plates with or without 1 µM ABA. The plates were kept at 4 °C for 2 days in darkness, and then transferred to a growth room. Pictures were taken 13 days after the transfer. (<b>C</b>) Percentage of green seedlings of the Col wild type, and the overexpression transgenic plants, single and double mutants of <span class="html-italic">BICs</span> in ABA plates. Seedlings with green cotyledons were counted 14 days after the transfer and percentage of green seedlings was calculated. Data represent the mean ± SD of four replicates.</p>
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<p>Root elongation of the Col wild type, the overexpression transgenic plants and mutants of <span class="html-italic">BICs</span> in response to ABA treatment. (<b>A</b>) Images of representative grown on control and ABA plates seedlings. Sterilized seeds of the Col wild type, the <span class="html-italic">35S:BIC1</span> and <span class="html-italic">35S:BIC2</span> transgenic plants, the <span class="html-italic">bic1</span> and <span class="html-italic">bic2</span> single, and the <span class="html-italic">bic1 bic2</span> double mutants were germinated and grown on vertically placed ½ MS plates solidified with 1.5% agar in a growth room for 5 days. The seedlings were then transferred to control plates and plates containing 10 μM ABA and grown for 8 more days, then pictures were taken by using a digital camera. (<b>B</b>) Percentage of root inhibition by ABA. Length of new elongated roots was measured, and percentage of inhibition was calculated. Data represent the mean ± SD of 20–22 seedlings.</p>
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<p>Fold changes of the expression of <span class="html-italic">PYL4</span>, <span class="html-italic">PYL5</span>, and <span class="html-italic">SnRK2.6</span> in response to ABA in the Col wild type, the <span class="html-italic">bic1 bic2</span> double mutants, and the <span class="html-italic">35S:BIC2</span> transgenic plants. (<b>A</b>) Fold changes of the expression of <span class="html-italic">PYL4</span>, <span class="html-italic">PYL5</span>, and <span class="html-italic">SnRK2.6</span> in response to ABA in the Col wild type and the <span class="html-italic">bic1 bic2</span> double mutants. (<b>B</b>) Fold changes of the expression of <span class="html-italic">PYL4</span>, <span class="html-italic">PYL5</span>, and <span class="html-italic">SnRK2.6</span> in response to ABA in the Col wild type and the <span class="html-italic">35S:BIC2</span> transgenic plants. Fourteen-day-old seedlings of the Col wild type, the <span class="html-italic">bic1 bic2</span> double mutants, and the <span class="html-italic">35S:BIC2</span> transgenic plants were treated with 50 μM ABA or mock treated on a shaker at 40 rpm for 4 h in darkness. RNA was isolated and used for qRT-PCR analysis. Expression of <span class="html-italic">ACT2</span> was used as an inner reference gene, and fold changes were calculated by comparing the transcript level of the corresponding genes in ABA treated and control seedlings. Data represent the mean ± SD of three replicates.</p>
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15 pages, 606 KiB  
Article
Foliar Nutrition Influences Yield, Nut Quality and Kernel Composition in Hazelnut cv Mortarella
by Antonio Pannico, Giuseppe Carlo Modarelli, Silvia Rita Stazi, Matteo Giaccone, Raffaele Romano, Youssef Rouphael and Chiara Cirillo
Plants 2023, 12(11), 2219; https://doi.org/10.3390/plants12112219 - 4 Jun 2023
Cited by 4 | Viewed by 2264
Abstract
In hazelnut, foliar nutrition is utilized globally to integrate microelement deficiencies and optimize their assimilation and effects on yield performances. Nevertheless, nut quality and kernel composition can be positively affected by foliar nutrition. Recently, several studies pointed out the need for increasing the [...] Read more.
In hazelnut, foliar nutrition is utilized globally to integrate microelement deficiencies and optimize their assimilation and effects on yield performances. Nevertheless, nut quality and kernel composition can be positively affected by foliar nutrition. Recently, several studies pointed out the need for increasing the sustainability of orchard nutrition by proposing the management of not only micronutrients, but also main components, such as nitrogen, through foliar spraying. In our study, different foliar fertilizers were used to understand the effectiveness of supporting hazelnut productivity and nut and kernel quality. Water was used as a control. Foliar fertilizations affected tree annual vegetative growth, improved kernel weight and decreased the incidence of blanks compared to the control. Differences in fat, protein, and carbohydrate concentration were also found among treatments, with increased fat concentrations and total polyphenols content in fertilized treatments. Foliar fertilization improved the oil composition of the kernels, though fatty acid composition responded differently to nutrients spray. Oleic acid concentration was promoted, while palmitic acid concentration was reduced in fertilized plants compared to control trees. Furthermore, CD and B trees were characterized by an increase in the ratio of unsaturated/saturated fatty acids compared to untreated trees. Finally, foliar spraying improved lipid stability compared to the control due to higher total polyphenol concentration. Full article
(This article belongs to the Special Issue Tolerance Response Mechanisms to Abiotic Stress in Woody Crops)
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<p>Total polyphenols content in oil extracted from hazelnut harvested in 2013 from foliar fertilized plants (CD and B) and control plants (C). Data are expressed as mean ± s.e., (n = 3). Different letters indicate significant differences according to Tukey’s HSD test (<span class="html-italic">p</span> = 0.05).</p>
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15 pages, 3014 KiB  
Article
Expression Characterization of ABCDE Class MADS-Box Genes in Brassica rapa with Different Pistil Types
by Yi Zhang, Tong Zhao, Yuqi Wang, Rong Yang, Weiqiang Li, Kaiwen Liu, Nairan Sun, Iqbal Hussian, Xinyan Ma, Hongrui Yu, Kun Zhao, Jisuan Chen and Xiaolin Yu
Plants 2023, 12(11), 2218; https://doi.org/10.3390/plants12112218 - 4 Jun 2023
Cited by 4 | Viewed by 2399
Abstract
MADS-box is a vital transcription factor family that functions in plant growth and development. Apart from APETALA2, all genes in the ABCDE model that explain the molecular mechanism of floral organ development belong to the MADS-box family. Carpel and ovule numbers in [...] Read more.
MADS-box is a vital transcription factor family that functions in plant growth and development. Apart from APETALA2, all genes in the ABCDE model that explain the molecular mechanism of floral organ development belong to the MADS-box family. Carpel and ovule numbers in plants are essential agronomic traits that determine seed yield, and multilocular siliques have great potential for the development of high-yield varieties of Brassica. In this study, ABCDE genes in the MADS-box family from Brassica rapa were identified and characterized. Their tissue-specific expression patterns in floral organs and their differential expression in different pistil types of B. rapa were revealed by qRT-PCR. A total of 26 ABCDE genes were found to belong to the MADS-box family. Our proposed ABCDE model of B. rapa is consistent with that of Arabidopsis thaliana, indicating that ABCDE genes are functionally conserved. These results of qRT-PCR showed that the expression levels of class C and D genes were significantly different between the wild-type (wt) and tetracarpel (tetrac) mutant of B. rapa. Interestingly, the expression of the homologs of class E genes was imbalanced. Therefore, it is speculated that class C, D, and E genes are involved in developing the carpel and ovule of B. rapa. Our findings reveal the potential for the selection of candidate genes to improve yield traits in Brassica crops. Full article
(This article belongs to the Topic Vegetable Breeding, Genetics and Genomics)
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<p>Floral organs of two pistil types of <span class="html-italic">Brassica rapa</span>, wt and <span class="html-italic">tetrac</span>. (<b>a</b>) Phenotypic observation of wt and <span class="html-italic">tetrac</span> flower organs by using a stereomicroscope, the bars of open flowers and pistils = 2 mm, and the bars of nectaries = 0.5 mm; (<b>b</b>) Statistical data of pistil (stigma and stylus) and ovule numbers of wt and <span class="html-italic">tetrac</span>; the data shown are mean ± SD of at least three biological replicates. Significant differences between wt and <span class="html-italic">tetrac</span> determined by an independent Student’s <span class="html-italic">t</span>-test are indicated with *** (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Chromosome distribution of 26 ABCDE class MADS-box genes in <span class="html-italic">B. rapa</span>. The different colors of the triangles indicate different types of MADS-box genes. The direction of the top corner of the triangle indicates the encoding direction of the gene: the downward direction is forward encoding, and the upward direction is reverse encoding.</p>
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<p>Phylogenetic relationships, gene structure, conserved motif compositions and structural domains of <span class="html-italic">B. rapa</span> and <span class="html-italic">Arabidopsis</span> ABCDE class MADS proteins. The maximum likelihood tree was constructed with the aligned protein sequences of <span class="html-italic">B. rapa</span> and <span class="html-italic">Arabidopsis</span> ABCDE class MADS-box genes. Eight motifs were identified and displayed in different colors. The combined match <span class="html-italic">p</span>-value is defined as the probability that a random sequence (with the same length and conforming to the background) would have position <span class="html-italic">p</span>-values such that the product is smaller or equal to the value calculated for the sequence under test.</p>
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<p>Prediction of <span class="html-italic">cis</span>-acting elements of the ABCDE class MADS-box gene family in <span class="html-italic">B. rapa</span>. The upstream 2 kb sequences of ABCDE class MADS-box genes in <span class="html-italic">B. rapa</span> were analyzed through PlantCARE.</p>
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<p>Proposed <span class="html-italic">B. rapa</span> flower development model based on the expression patterns and referring to the ancestral functions of homeotic MADS-box genes. Blocks in different colors with distinct heights represent different expression levels.</p>
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<p>Tissue-specific expression analysis of ABCDE class MADS-box genes in the pistils (<b>a</b>) and ovules (<b>b</b>) of wt and <span class="html-italic">tetrac</span> based on qRT-PCR. Data shown are mean ± SD of at least three biological replicates. Significant differences between wt and <span class="html-italic">tetrac</span> determined by an independent sample <span class="html-italic">t</span>-test are indicated with * (<span class="html-italic">p</span> &lt; 0.05), ** (<span class="html-italic">p</span> &lt; 0.01), and *** (<span class="html-italic">p</span> &lt; 0.001).</p>
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13 pages, 1730 KiB  
Review
Cassava Witches’ Broom Disease in Southeast Asia: A Review of Its Distribution and Associated Symptoms
by Juan M. Pardo, Khonesavanh Chittarath, Pinkham Vongphachanh, Le Thi Hang, Samoul Oeurn, Warren Arinaitwe, Rafael Rodriguez, Sok Sophearith, Al Imran Malik and Wilmer J. Cuellar
Plants 2023, 12(11), 2217; https://doi.org/10.3390/plants12112217 - 4 Jun 2023
Cited by 9 | Viewed by 6852
Abstract
Cassava witches’ broom disease (CWBD) is one of the main diseases of cassava in Southeast Asia (SEA). Affected cassava plants show reduced internodal length and proliferation of leaves (phyllody) in the middle and top part of the plant, which results in reduced root [...] Read more.
Cassava witches’ broom disease (CWBD) is one of the main diseases of cassava in Southeast Asia (SEA). Affected cassava plants show reduced internodal length and proliferation of leaves (phyllody) in the middle and top part of the plant, which results in reduced root yields of 50% or more. It is thought to be caused by phytoplasma; however, despite its widespread distribution in SEA still little is known about CWBD pathology. The overarching goal of this study was to review and corroborate published information on CWBD biology and epidemiology considering recent field observations. We report the following: (1) CWBD symptoms are conserved and persistent in SEA and are distinct from what has been reported as witches’ broom in Argentina and Brazil. (2) In comparison with cassava mosaic disease, another major disease of cassava in SEA, symptoms of CWBD develop later. (3) Phytoplasma detected in CWBD-affected plants belong to different ribosomal groups and there is no association study available indicating phytoplasma as the causing agent of CWBD. These findings are essential clues for designing surveillance and management strategies and for future studies to better understand the biology, tissue localization and spatial spread of CWBD in SEA and other potential risk areas. Full article
(This article belongs to the Special Issue Epidemiology and Control of Plant Diseases II)
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<p>Cassava witches’ broom symptoms. (<b>A</b>) Twelve months old cassava plant with symptoms of little yellow leaves, sprout proliferation on the middle and top parts and short petioles. (<b>B</b>) Seven months old plant showing typical symptoms only in one of the stems (right) of a cassava plant. (<b>C</b>) Early symptoms in young plants. Upper plant is healthy; bottom plant shows dwarfism and leaf yellowing.</p>
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<p>Lignified cassava stems. (<b>A</b>) Cassava stem with normal internodes, without any sprout along the stem. (<b>B</b>) Cassava stem showing yellow little leaves, short internodes, sprout along the stem and axillar proliferation. (<b>C</b>) Longitudinal cut of a healthy cassava stem. Black circles indicate normal distance among internodes. (<b>D</b>) Longitudinal cut of diseased cassava stem. Red circles indicate shorter distances among internodes. (<b>E</b>) Cross section of a healthy cassava stems (<b>left</b>) and a CWBD-affected plant showing vascular discoloration (<b>right</b>).</p>
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<p>Map showing the current geographical location of CWBD symptoms reported in Asia, according to a global literature search using Google Scholar. Information from CIAT’s annual reports is included. Locations reporting the disease more than once are indicated with a number in a blue circle, otherwise the symbol refers to a single report of the disease. Links to each report are available from the interactive map at: <a href="https://pestdisplace.org/embed/news/map/disease/3" target="_blank">https://pestdisplace.org/embed/news/map/disease/3</a> (accessed on 15 May 2023) [<a href="#B47-plants-12-02217" class="html-bibr">47</a>]. This information was last updated on 30 March 2023.</p>
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<p>Phylogenetic tree inferred from analysis of 16S rDNA sequences from phytoplasma showing the relationships among representatives of phytoplasma strains infecting vegetables and the ones associated with CWBD in SEA. The tree was constructed using the maximum-likelihood method and Tamura 3-parameter model [<a href="#B56-plants-12-02217" class="html-bibr">56</a>]. Branch lengths are measured in the relative number of substitutions per site; numbers on the branches are bootstrap values for 1000 replicates (only values ≥ 60% are shown) and the scale bar represents the number of nucleotide substitutions per site. GenBank accession numbers for each taxon are given in parentheses. Phytoplasma sequences detected in cassava are indicated with an asterisk (*) and those from cassava in SEA are indicated in red. A cross (†) indicates those sequences that appear misannotated as 16SrIII in Genbank. <span class="html-italic">Acholeplasma palmae</span> and <span class="html-italic">A. laidlawii</span> were used as out-group. The corresponding 16S rDNA group is indicated to the right.</p>
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15 pages, 6024 KiB  
Article
Alternative Rooting Methods for Medicinal Cannabis Cultivation in Denmark—Preliminary Results
by Bruno Trevenzoli Favero, Jacob Kromann Salomonsen and Henrik Lütken
Plants 2023, 12(11), 2216; https://doi.org/10.3390/plants12112216 - 3 Jun 2023
Viewed by 3565
Abstract
Cannabis sativa L. is typically propagated through micropropagation or vegetative cuttings, but the use of root-inducing hormones, such as indole-3-butyric acid (IBA), is not allowed for growing medicinal cannabis in Denmark. This study examined alternative rooting treatments, including Rhizobium rhizogenes inoculation, water-only as [...] Read more.
Cannabis sativa L. is typically propagated through micropropagation or vegetative cuttings, but the use of root-inducing hormones, such as indole-3-butyric acid (IBA), is not allowed for growing medicinal cannabis in Denmark. This study examined alternative rooting treatments, including Rhizobium rhizogenes inoculation, water-only as well as IBA treatments, in eight cannabis cultivars. PCR on root tissue suggested that 19% of R. rhizogenes-inoculated cuttings were transformed. These were derived from “Herijuana”, “Wild Thailand”, “Motherlode Kush”, and “Bruce Banner”, indicating a variation in cultivar susceptibility toward R. rhizogenes. A 100% rooting success was achieved regardless of cultivar and treatment, suggesting that alternative rooting agents are not required for efficient vegetative propagation. However, rooted cuttings differed in shoot morphology with improved shoot growth in cuttings treated with R. rhizogenes (195 ± 7 mm) or water (185 ± 7 mm) while inhibited shoot growth under IBA treatment (123 ± 6 mm). This could have advantageous economic implications should cuttings not treated with hormone reach maturity faster than those exposed to the hormone, thereby contributing to completing a full growing cycle more effectively. IBA exposure increased root length, root dry weight, and root/shoot dry weight ratio compared to cuttings treated with R. rhizogenes or water but simultaneously inhibited shoot growth compared to these. Full article
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<p>Biometric measures of <span class="html-italic">C. sativa</span> cultivars compiled in the first repetition of this experiment. Cuttings of <span class="html-italic">C. sativa</span> cultivars “Hindu Kush”, “California Orange”, “Herijuana”, “The Pure”, “Bruce Banner”, “Big Bud”, “Motherlode Kush”, and “Wild Thailand” were maintained in aeroponic growth units for 25 days following a 20 h immersion treatment in which cuttings were either inoculated with <span class="html-italic">R. rhizogenes</span> (A4), exposed to IBA (IBA) or treated with water (H<sub>2</sub>O). (<b>a</b>) The length of shoots measured from the bottom to the youngest point of growth (mm). (<b>b</b>) The dry weight of shoots was recorded after 70 h of drying in a 70 °C drying chamber (mg). (<b>c</b>) Root dry weight was divided by shoot dry weight to estimate growth ratios. (<b>d</b>) The root length as estimated by analyzing root scan images in WinRhizo<sup>TM</sup> (cm). (<b>e</b>) Roots were dried for 70 h at 70 °C in a drying chamber and subsequently weighed (mg). (<b>f</b>) The root diameter was estimated by analyzing root scan images in WinRhizo<sup>TM</sup> (mm). Different letters between columns in a graph indicate a statistically significant difference (<span class="html-italic">p</span> ≤ 0.05) between treatments using Tukey’s HSD test; ns indicates no significant difference compared to any other treatment group. Bars represent means ± standard error; <span class="html-italic">n</span> = 23–32.</p>
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<p>Biometric measures of <span class="html-italic">C. sativa</span> cultivars compiled in the second repetition of this experiment. Cuttings of <span class="html-italic">C. sativa</span> cultivars “Hindu Kush”, “California Orange”, “Herijuana”, “The Pure”, “Bruce Banner”, “Big Bud”, “Motherlode Kush”, and “Wild Thailand” were maintained in aeroponic growth units for 25 days following a 20 h immersion treatment, in which cuttings were either inoculated with <span class="html-italic">R. rhizogenes</span> (A4), exposed to IBA (IBA), or treated with water (H<sub>2</sub>O). (<b>a</b>) The length of shoots measured from the bottom to the youngest point of growth (mm). (<b>b</b>) The dry weight of shoots was recorded after 70 h of drying in a 70 °C drying chamber (mg). (<b>c</b>) Root dry weight was divided by shoot dry weight to estimate growth ratios. (<b>d</b>) The root length was estimated by analyzing root scan images in WinRhizo<sup>TM</sup> (cm). (<b>e</b>) Roots were dried for 70 h at 70 °C in a drying chamber and subsequently weighed (mg). (<b>f</b>) The root diameter was estimated by analyzing root scan images in WinRhizo<sup>TM</sup> (mm). (<b>g</b>) Shoot growth (mm) Different letters between columns in a graph indicate a statistically significant difference (<span class="html-italic">p</span> ≤ 0.05) between treatments using Tukey’s HSD test; ns indicates no significant difference compared to any other treatment group. Bars represent means ± standard error; <span class="html-italic">n</span> = 23–32.</p>
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<p>Visualization of different root/shoot ratios in <span class="html-italic">C. sativa</span> cuttings. “Hindu Kush” cuttings from each treatment during harvest and processing of repetition 2. (<b>a</b>) Cutting treated with <span class="html-italic">R. rhizogenes</span> A4. (<b>b</b>) Cutting treated with IBA. (<b>c</b>) Cutting treated with H<sub>2</sub>O with shoot lengths measuring 22.6, 11.5, and 20.5 cm, respectively. Bar ≤ 2 cm.</p>
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<p>Presence of <span class="html-italic">rol</span>B, virD, and EF1α fragments in <span class="html-italic">C. sativa</span> root tissue, nutrient solutions of aeroponic growth units, and purified water. Cuttings of <span class="html-italic">C. sativa</span> cultivars “Hindu Kush”, “California Orange”, “Herijuana”, “The Pure”, “Bruce Banner”, “Big Bud”, “Motherlode Kush”, and “Wild Thailand” were either inoculated with <span class="html-italic">R. rhizogenes</span> (A4), exposed to IBA (IBA), or treated with water (H<sub>2</sub>O) for 20 h and maintained in aeroponic growth units for 25 days. Root tissue samples were taken upon experimental termination. PCR products were visualized by 1.5% agarose gel electrophoresis. M: 100 bp ladder; 1–36: A4 cuttings; 46: IBA cutting; 81: H<sub>2</sub>O cutting; 200, 201, 202: nutrient solution samples collected from A4, IBA, and H<sub>2</sub>O treatment groups, respectively; A4: positive control; H<sub>2</sub>O#1: Negative control.</p>
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<p>Illustration of the experimental setup. A mother plant from each <span class="html-italic">C. sativa</span> cultivar (<b>left</b>) provided 12 cuttings, which were separated into three groups (<b>middle</b>) according to their respective immersion treatment: A4 inoculation; IBA exposure; or H<sub>2</sub>O treatment. Lastly, in the (<b>right</b>) part, there is the aeroponic system and cutting representation. Cuttings were immersed for 20 h in their respective treatment and maintained in aeroponic growth units for 25 days.</p>
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30 pages, 1363 KiB  
Review
Survival Strategies of Duckweeds, the World’s Smallest Angiosperms
by Paul Ziegler, Klaus J. Appenroth and K. Sowjanya Sree
Plants 2023, 12(11), 2215; https://doi.org/10.3390/plants12112215 - 3 Jun 2023
Cited by 22 | Viewed by 6343
Abstract
Duckweeds (Lemnaceae) are small, simply constructed aquatic higher plants that grow on or just below the surface of quiet waters. They consist primarily of leaf-like assimilatory organs, or fronds, that reproduce mainly by vegetative replication. Despite their diminutive size and inornate habit, duckweeds [...] Read more.
Duckweeds (Lemnaceae) are small, simply constructed aquatic higher plants that grow on or just below the surface of quiet waters. They consist primarily of leaf-like assimilatory organs, or fronds, that reproduce mainly by vegetative replication. Despite their diminutive size and inornate habit, duckweeds have been able to colonize and maintain themselves in almost all of the world’s climate zones. They are thereby subject to multiple adverse influences during the growing season, such as high temperatures, extremes of light intensity and pH, nutrient shortage, damage by microorganisms and herbivores, the presence of harmful substances in the water, and competition from other aquatic plants, and they must also be able to withstand winter cold and drought that can be lethal to the fronds. This review discusses the means by which duckweeds come to grips with these adverse influences to ensure their survival. Important duckweed attributes in this regard are a pronounced potential for rapid growth and frond replication, a juvenile developmental status facilitating adventitious organ formation, and clonal diversity. Duckweeds have specific features at their disposal for coping with particular environmental difficulties and can also cooperate with other organisms of their surroundings to improve their survival chances. Full article
(This article belongs to the Special Issue Duckweed: Research Meets Applications)
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<p>Fronds <span class="html-italic">of Spirodela polyrhiza</span> growing under non-limiting conditions (left-hand photos (<b>A</b>)) and under nutrient stress (right-hand photos (<b>B</b>)). The upper photos show colonies made up of several interconnected fronds, and the lower photos show single fronds that also exist alongside the multi-frond colonies. The fronds under nutrient stress produce dark turions are indicated by the white arrows.</p>
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<p>Flowering fronds of <span class="html-italic">Wolffia microscopica</span> with stigma and anther lobes seen on the exterior (lateral view). Inset: top view.</p>
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14 pages, 4188 KiB  
Article
Expression of RsPORB Is Associated with Radish Root Color
by Da-Hye Kim, Sun-Hyung Lim and Jong-Yeol Lee
Plants 2023, 12(11), 2214; https://doi.org/10.3390/plants12112214 - 3 Jun 2023
Cited by 2 | Viewed by 2074
Abstract
Radish (Raphanus sativus) plants exhibit varied root colors due to the accumulation of chlorophylls and anthocyanins compounds that are beneficial for both human health and visual quality. The mechanisms of chlorophyll biosynthesis have been extensively studied in foliar tissues but remain [...] Read more.
Radish (Raphanus sativus) plants exhibit varied root colors due to the accumulation of chlorophylls and anthocyanins compounds that are beneficial for both human health and visual quality. The mechanisms of chlorophyll biosynthesis have been extensively studied in foliar tissues but remain largely unknown in other tissues. In this study, we examined the role of NADPH:protochlorophyllide oxidoreductases (PORs), which are key enzymes in chlorophyll biosynthesis, in radish roots. The transcript level of RsPORB was abundantly expressed in green roots and positively correlated with chlorophyll content in radish roots. Sequences of the RsPORB coding region were identical between white (948) and green (847) radish breeding lines. Additionally, virus-induced gene silencing assay with RsPORB exhibited reduced chlorophyll contents, verifying that RsPORB is a functional enzyme for chlorophyll biosynthesis. Sequence comparison of RsPORB promoters from white and green radishes showed several insertions and deletions (InDels) and single-nucleotide polymorphisms. Promoter activation assays using radish root protoplasts verified that InDels of the RsPORB promoter contribute to its expression level. These results suggested that RsPORB is one of the key genes underlying chlorophyll biosynthesis and green coloration in non-foliar tissues, such as roots. Full article
(This article belongs to the Special Issue Molecular Biology of Plant Growth and Development)
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<p>NADPH:protochlorophyllide oxidoreductase (POR) enzymes convert protochlorophyllide (Pchlide) into chlorophyllide (Chlide) by reducing the double bond between C17 and C18, using NADPH as the H donor. The gray box indicates the single bond resulting from the reduction.</p>
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<p>Phenotypes and chlorophyll content of root skin and flesh of four different radishes. (<b>A</b>) Root skin (top) and root flesh (bottom) of representative samples of two white (W1, W2) and two green (G1, G2) radishes. Bar = 1 cm. (<b>B</b>) Chlorophyll contents in root skin and root flesh. Results represent the mean values ± SD from three independent experiments. Different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05), as determined using a one-way ANOVA followed by Duncan’s multiple range tests.</p>
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<p>Transcript levels of <span class="html-italic">RsPORA</span>, <span class="html-italic">RsPORB</span>, and <span class="html-italic">RsPORC</span> in root skin, root flesh, and leaf from white (W1, W2) and green (G1, G2) radishes. Results represent the mean values ± SD from three independent biological replicates. Different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05), as determined using a one-way ANOVA followed by Duncan’s multiple range tests.</p>
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<p>Multiple sequence alignment and <span class="html-italic">RsPORB</span> protein structure analysis. (<b>A</b>) Multiple sequence alignment of PORB proteins. α-Helices and β-strands are indicated by red and cyan lines, respectively, and the conserved Rossmann-fold domain, Pchlide loop, and YxxxK motif are outlined by orange boxes. The putative N-terminal cleavage sites for the plastid transit peptides are indicated by the arrow. (<b>B</b>) Structural modeling of <span class="html-italic">RsPORB</span> protein. The 3D protein structure modeling based on PDB ID: 7JK9 from <span class="html-italic">Arabidopsis thaliana</span> built using SWISS-MODEL. The α-helices and β-strands are shown in red and cyan, respectively. The enlarged view showed the binding of <span class="html-italic">RsPORB</span> protein to Pchlide and NADPH.</p>
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<p>Multiple sequence alignment and <span class="html-italic">RsPORB</span> protein structure analysis. (<b>A</b>) Multiple sequence alignment of PORB proteins. α-Helices and β-strands are indicated by red and cyan lines, respectively, and the conserved Rossmann-fold domain, Pchlide loop, and YxxxK motif are outlined by orange boxes. The putative N-terminal cleavage sites for the plastid transit peptides are indicated by the arrow. (<b>B</b>) Structural modeling of <span class="html-italic">RsPORB</span> protein. The 3D protein structure modeling based on PDB ID: 7JK9 from <span class="html-italic">Arabidopsis thaliana</span> built using SWISS-MODEL. The α-helices and β-strands are shown in red and cyan, respectively. The enlarged view showed the binding of <span class="html-italic">RsPORB</span> protein to Pchlide and NADPH.</p>
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<p>Silencing of <span class="html-italic">RsPORB</span> reduces the chlorophyll contents. (<b>A</b>) Representative radish plants 3 weeks after post-infiltration with the empty vector as the control (TRV2-EV), <span class="html-italic">RsPORB</span> (TRV2-PORB) and <span class="html-italic">RsPOR</span> genes (TRV2-PORs). Bar = 1 cm. (<b>B</b>) Chlorophyll contents in <span class="html-italic">RsPORB-</span> and <span class="html-italic">RsPOR</span>-silenced radish leaves. (<b>C</b>) Transcript levels of <span class="html-italic">RsPORA</span>, <span class="html-italic">RsPORB</span>, and <span class="html-italic">RsPORC</span> in leaves. Different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05), as determined using a one-way ANOVA followed by Duncan’s multiple range tests.</p>
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<p>Polymorphic sites in the <span class="html-italic">RsPORB</span> promoter region in G1 vs. W1 radishes. Numbers indicate positions from the ATG start codon of <span class="html-italic">RsPORB</span> in the G1 radish.</p>
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<p>Promoter variation of the <span class="html-italic">RsPORB</span> gene can alter its expression level. Schematic representations of <span class="html-italic">RsPORB</span> promoter constructs from G1, W1, and constructs with deleted InDel regions of the <span class="html-italic">RsPORB-W1</span> promoter (dP1) and dP2 (left). dP1 and dP2 were deleted from −441 to −448 and from −353 to −390 of <span class="html-italic">RsPORB-W1</span> promoter, respectively. We used a dual-luciferase promoter plasmid encoding the <span class="html-italic">firefly luciferase</span> gene driven by the <span class="html-italic">RsPORB</span> promoters G1, W1, dP1, and dP2 as well as a <span class="html-italic">Renilla luciferase</span> (<span class="html-italic">REN</span>) gene driven by the <span class="html-italic">CaMV 35S</span> promoter to measure LUC and REN levels (right). Data denote protoplast accumulation of each fusion protein at 16 h after transfection. Different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05), as determined using a one-way ANOVA followed by Duncan’s multiple range tests.</p>
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24 pages, 2963 KiB  
Article
Repeatedly Northwards and Upwards: Southern African Grasslands Fuel the Colonization of the African Sky Islands in Helichrysum (Compositae)
by Carme Blanco-Gavaldà, Mercè Galbany-Casals, Alfonso Susanna, Santiago Andrés-Sánchez, Randall J. Bayer, Christian Brochmann, Glynis V. Cron, Nicola G. Bergh, Núria Garcia-Jacas, Abel Gizaw, Martha Kandziora, Filip Kolář, Javier López-Alvarado, Frederik Leliaert, Rokiman Letsara, Lucía D. Moreyra, Sylvain G. Razafimandimbison, Roswitha Schmickl and Cristina Roquet
Plants 2023, 12(11), 2213; https://doi.org/10.3390/plants12112213 - 3 Jun 2023
Cited by 6 | Viewed by 3477
Abstract
The Afromontane and Afroalpine areas constitute some of the main biodiversity hotspots of Africa. They are particularly rich in plant endemics, but the biogeographic origins and evolutionary processes leading to this outstanding diversity are poorly understood. We performed phylogenomic and biogeographic analyses of [...] Read more.
The Afromontane and Afroalpine areas constitute some of the main biodiversity hotspots of Africa. They are particularly rich in plant endemics, but the biogeographic origins and evolutionary processes leading to this outstanding diversity are poorly understood. We performed phylogenomic and biogeographic analyses of one of the most species-rich plant genera in these mountains, Helichrysum (Compositae-Gnaphalieae). Most previous studies have focused on Afroalpine elements of Eurasian origin, and the southern African origin of Helichrysum provides an interesting counterexample. We obtained a comprehensive nuclear dataset from 304 species (≈50% of the genus) using target-enrichment with the Compositae1061 probe set. Summary-coalescent and concatenation approaches combined with paralog recovery yielded congruent, well-resolved phylogenies. Ancestral range estimations revealed that Helichrysum originated in arid southern Africa, whereas the southern African grasslands were the source of most lineages that dispersed within and outside Africa. Colonization of the tropical Afromontane and Afroalpine areas occurred repeatedly throughout the Miocene–Pliocene. This timing coincides with mountain uplift and the onset of glacial cycles, which together may have facilitated both speciation and intermountain gene flow, contributing to the evolution of the Afroalpine flora. Full article
(This article belongs to the Special Issue Systematics, Evolution and Biogeography of Mountain Plants)
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<p>Species of <span class="html-italic">Helichrysum</span> illustrating the wide variety of morphologies present in the genus (Photos: Mercè Galbany-Casals; (<b>b</b>): Filip Kolář; (<b>c</b>): Cristina Roquet): (<b>a</b>) <span class="html-italic">H. newii</span> Oliv. &amp; Hiern (tropical Afroalpine; Aberdare Mts., Mt. Elgon, Mt. Kenya, Mt. Kilimanjaro, Mt. Meru, Virunga Mts.); (<b>b</b>) <span class="html-italic">H. gofense</span> Cufod (tropical Afroalpine; Bale Mts.); (<b>c</b>) <span class="html-italic">H. stuhlmannii</span> O. Hoffm. (tropical Afroalpine; Rwenzori Mts.); (<b>d</b>) <span class="html-italic">H. formosissimum</span> Sch. Bip. (widely distributed across tropical Afromontane areas); (<b>e</b>) <span class="html-italic">H. argyranthum</span> O. Hoffm. (widely distributed across tropical Afromontane areas); (<b>f</b>) <span class="html-italic">H. splendidum</span> Less. (southern African grasslands, and widely distributed across tropical Afromontane and Afroalpine areas); (<b>g</b>) <span class="html-italic">H. confertifolium</span> Klatt (southern African grasslands); (<b>h</b>) <span class="html-italic">H. helothamnus</span> Moeser (tropical Afromontane); (<b>i</b>) <span class="html-italic">H. gymnocephalum</span> Humbert (Madagascar); (<b>j</b>) <span class="html-italic">H. mahafaly</span> Humbert (Madagascar); (<b>k</b>) <span class="html-italic">H. elegantissimum</span> DC. (southern African grasslands); (<b>l</b>) <span class="html-italic">H. chionosphaerum</span> DC. (southern African grasslands).</p>
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<p>Geographical representation of the 15 geographic areas defined in the current study. These include six areas outside of continental Africa: E: the Mediterranean area; I: Asia; M: Madagascar; O: the Macaronesian area; P: the southern Arabian Peninsula; and R: the Americas. We defined nine areas within continental Africa (from north to south): L: the tropical African lowlands; T: the tropical Afromontane area; A: the tropical Afroalpine area; S: the southern African savannah; N: the arid to semi-arid southern African area; G: the southern African grasslands; D: the high Drakensberg area; C: the Indian Ocean coastal belt forest; and F: the Fynbos biome area. The dark green spots within the tropical Afromontane area are an overrepresentation of the tropical Afroalpine area. The colors and letters correspond to those in the biogeographical reconstruction (<a href="#plants-12-02213-f003" class="html-fig">Figure 3</a>).</p>
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<p>Ancestral range estimation of the HAP clade using the best-fitting model DEC+j based on a time-calibrated phylogeny generated under the concatenation approach using target-enrichment data (Compositae1061 probe set). Pie charts at nodes show the relative probability of the possible states (areas in primary colors; combinations of areas in grey). Relevant node numbers are indicated to the left of the node. Black asterisks indicate nodes that were strongly supported by both metrics (BS and TBE ≥ 95%/0.95), grey asterisks indicate nodes strongly supported by only one metric (BS or TBE ≥ 95%/0.95), grey circles indicate nodes moderately supported by both metrics (BS and TBE from 70%/0.70 to 94%/0.94), and empty circles indicate nodes moderately supported by only one metric (BS or TBE from 70%/0.70 to 94%/0.94). Highlighted species correspond to tropical Afromontane clades in green, which include tropical Afroalpine clades in dark green (labelled as TA1, TA2, TA3); high Drakensberg species in brown; Malagasy species in magenta (main clades labelled as MAD1, MAD2, MAD3, MAD4). Other genera and large Malagasy clades are collapsed. The complete tree obtained in this analysis is shown in <a href="#app1-plants-12-02213" class="html-app">Figure S2</a>.</p>
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<p>Summary of mean dispersal events estimated from 100 biogeographic stochastic mappings in <span class="html-italic">Helichrysum</span> (see all event counts in <a href="#app1-plants-12-02213" class="html-app">Table S8</a>). Arrow tips indicate the directionality of the dispersals. Numbers on the arrows are the mean of dispersal event counts. Arrow thickness is proportional to the mean number of dispersals: gray arrows correspond to mean counts below 0.5 (for readability, only the ones involving the eastern African montane area are shown), black arrows represent mean dispersal events ranging from 0.5 to 4 counts, and red arrows show the most common dispersal pathways (mean above 4 counts).</p>
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16 pages, 12285 KiB  
Article
Microscopical Analysis of Autofluorescence as a Complementary and Useful Method to Assess Differences in Anatomy and Structural Distribution Underlying Evolutive Variation in Loss of Seed Dispersal in Common Bean
by Ana M. Santos, Ana M. González, Juan De Dios Alche and Marta Santalla
Plants 2023, 12(11), 2212; https://doi.org/10.3390/plants12112212 - 3 Jun 2023
Cited by 2 | Viewed by 2451
Abstract
The common bean has received attention as a model plant for legume studies, but little information is available about the morphology of its pods and the relation of this morphology to the loss of seed dispersal and/or the pod string, which are key [...] Read more.
The common bean has received attention as a model plant for legume studies, but little information is available about the morphology of its pods and the relation of this morphology to the loss of seed dispersal and/or the pod string, which are key agronomic traits of legume domestication. Dehiscence is related to the pod morphology and anatomy of pod tissues because of the weakening of the dorsal and ventral dehiscence zones and the tensions of the pod walls. These tensions are produced by the differential mechanical properties of lignified and non-lignified tissues and changes in turgor associated with fruit maturation. In this research, we histologically studied the dehiscence zone of the ventral and dorsal sutures of the pod in two contrasting genotypes for the dehiscence and string, by comparing different histochemical methods with autofluorescence. We found that the secondary cell wall modifications of the ventral suture of the pod were clearly different between the dehiscence-susceptible and stringy PHA1037 and the dehiscence-resistant and stringless PHA0595 genotypes. The susceptible genotype had cells of bundle caps arranged in a more easily breakable bowtie knot shape. The resistant genotype had a larger vascular bundle area and larger fibre cap cells (FCCs), and due to their thickness, the external valve margin cells were significantly stronger than those from PHA1037. Our findings suggest that the FCC area, and the cell arrangement in the bundle cap, might be partial structures involved in the pod dehiscence of the common bean. The autofluorescence pattern at the ventral suture allowed us to quickly identify the dehiscent phenotype and gain a better understanding of cell wall tissue modifications that took place along the bean’s evolution, which had an impact on crop improvement. We report a simple autofluorescence protocol to reliably identify secondary cell wall organization and its relationship to the dehiscence and string in the common bean. Full article
(This article belongs to the Special Issue Microscopy Techniques in Plant Studies)
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<p>Phenotypes for pod dehiscence and string in cultivated and wild common bean. Pods of the dehiscence-susceptible and stringy genotype PHA1037 (<b>A</b>–<b>C</b>) and the dehiscence-resistant and stringless genotype PHA0595 (<b>D</b>,<b>E</b>) at 30 days after anthesis (DAA). Suture string is present in the ventral suture of PHA1037 pods (<b>B</b>,<b>C</b>). Graphical structure of a lateral view (<b>F</b>) and transverse section (<b>G</b>) of a common bean pod. Ventral suture: VS, dorsal suture: DS, vascular bundle sheath: VBS, dehiscence zone: DZ, and fibre cap cells: FCCs. The figure is modified from [<a href="#B14-plants-12-02212" class="html-bibr">14</a>]. Scale bar: 1 cm.</p>
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<p>General overview of Toluidine blue O-stained pod sutures in transverse sections of common bean. Semithin epoxy-embedded sections (1 μm thick) of 40 days after anthesis (DAA) pods (<b>A</b>–<b>D</b>). Transverse pod sections of the ventral suture (<b>A</b>–<b>C</b>) and dorsal suture (<b>B</b>,<b>D</b>) of the dehiscence-resistant and stringless genotype PHA0595 (<b>A</b>,<b>B</b>) and dehiscence-susceptible and stringy genotype PHA1037 (<b>C</b>,<b>D</b>). Ventral suture: VS, dorsal suture: DS, bundle cap: BC, dehiscence zone: DZ (in PHA1037 genotype), fibre cap cells: FCCs, vascular bundles: VB, vascular bundle sheath: VBS, epidermis: EP, endocarp: EC, mesocarp: MC. Scale bars: 100 μm.</p>
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<p>General overview of Phloroglucinol HCl (Wiesner staining)-stained pod sutures in transverse sections of common bean. Paraffin sections (20 μm thick) of 30 days after anthesis (DAA) pods (<b>A</b>–<b>D</b>). Transverse pod sections of the ventral suture (<b>A</b>–<b>C</b>) and dorsal suture (<b>B</b>,<b>D</b>) of the stringless and dehiscence-resistant PHA0595 genotype (<b>A</b>,<b>B</b>) and dehiscence-susceptible genotype and stringy genotype PHA1037 (<b>C</b>,<b>D</b>). This stain is lignin-specific and marks the lignified layer of the valve margin, the endocarp layer, and cells of the vascular bundle. Ventral suture: VS, dorsal suture: DS, bundle cap: BC, dehiscence zone: DZ (in PHA1037), fibre cap cells: FCCs, vascular bundles: VBs, vascular bundle sheath: VBS, epidermis: EP, endocarp: EC, mesocarp: MC. Scale bars: 100 μm.</p>
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<p>Detection of the abscission layer through common bean pod maturation. Cross-sections of the ventral (<b>A</b>–<b>F</b>) and dorsal (<b>G</b>–<b>L</b>) sutures stained with Safranin-O (red staining) and Alcian (blue) in the dehiscent and stringy PHA1037 (<b>A</b>–<b>C</b>,<b>G</b>–<b>I</b>) and indehiscent and stringless PHA0595 (<b>D</b>–<b>F</b>,<b>J</b>–<b>L</b>). Separation layer and lignified layer cells are present overlying the vascular bundle in PHA1037. Paraffin transversal sections (20 μm) of 30, 38, and 45 days after anthesis (DAA). DZ: dehiscence zone. Scale bars: 100 μm.</p>
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<p>Transverse sections of dorsal (<b>A</b>–<b>F</b>) and ventral (<b>G</b>–<b>L</b>) sutures in the dehiscent and stringy genotype PHA1037 (<b>A</b>–<b>C</b>,<b>G</b>–<b>I</b>) and indehiscent and stringless genotype PHA0595 (<b>D</b>–<b>F</b>,<b>J</b>–<b>L</b>) at 45 days after anthesis (DAA). Excitation at 405 nm with emissions in the range of 400–475 nm (blue, first column), and excitation at 488 nm with emissions in the range of 500–545 nm (green, second column). Images for each channel are maximal projections of five confocal optical sections. The merging of both fluorescent channels is shown in the third and fourth columns, where the bright field was used for anatomical reference. The fourth column shows an optical magnification of the central region of the sutures (white squares in the third column). Suture autofluorescence is patently higher in the indehiscent PHA0595 (<b>D</b>–<b>F</b>,<b>J</b>–<b>L</b>) compared to the dehiscent PHA1037 (<b>A</b>–<b>C</b>,<b>G</b>–<b>I</b>). Secondary cell wall modifications were clearly different between both genotypes in unstained 20-micron microtome sections excited at 405 nm and 488 nm and comparable to differences shown by other more time-consuming traditional staining methods used, such as Phloroglucinol-HCl, Safranin-O/Alcian Blue, and Toluidine Blue O protocols. Ventral suture: VS, dorsal suture: DS, dehiscence zone: DZ. Scale bars, 100 μm in panoramic views and 30 μm in the magnified regions.</p>
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<p>Anatomical cell wall comparison of ventral suture at 45 days after anthesis (DAA) of stringless PHA0595 and stringy PHA1037 genotypes. Representative confocal images at the ventral suture level show that autofluorescence is patently higher in the stringless PHA0595 (<b>A</b>) compared to the stringy PHA1037 (<b>B</b>). (<b>C</b>,<b>D</b>) Optical magnification of the central region of the sutures (white boxes in A and B) also shows differences in cell wall thickness. Suture autofluorescence levels in the stringless ventral suture (<b>C</b>) are higher than in the stringy suture (<b>D</b>), presumably due to different lignin deposition and other secondary wall components. (<b>E</b>,<b>F</b>) Transmitted light images of the same regions in (<b>C</b>,<b>D</b>) show thicker and round-shaped cell walls in the stringy genotype (<b>F</b>), whereas those in the stringless genotype (<b>E</b>) tend to be thinner and polyhedric (see arrows). Only the dehiscence zone (DZ) in the stringy genotype shows this same pattern (higher autofluorescence and thinner, polyhedric cell walls). Confocal images are maximum projections of five optical sections. Ventral suture: VS, dehiscence zone: DZ, fibre cap cells: FCCs, vascular bundles: VB, vascular bundle sheath: VBS, epidermis: EP, endocarp: EC, mesocarp: MC. Scale bars: 100 μm in (<b>A</b>,<b>B</b>), and 20 μm in (<b>C</b>–<b>F</b>).</p>
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16 pages, 6126 KiB  
Article
Antioxidant and Antimicrobial Properties and GC-MS Chemical Compositions of Makwaen Pepper (Zanthoxylum myriacanthum) Extracted Using Supercritical Carbon Dioxide
by Sudarut Nadon, Noppol Leksawasdi, Kittisak Jantanasakulwong, Pornchai Rachtanapun, Warintorn Ruksiriwanich, Sarana Rose Sommano, Amin Mousavi Khaneghah, Juan M. Castagnini, Francisco J. Barba and Yuthana Phimolsiripol
Plants 2023, 12(11), 2211; https://doi.org/10.3390/plants12112211 - 3 Jun 2023
Cited by 3 | Viewed by 2771
Abstract
This research aimed to optimize pressure (10–20 MPa) and temperature (45–60 °C) conditions for supercritical fluid extraction (SFE) of Makwaen pepper (Zanthoxylum myriacanthum) extract (ME) in comparison to conventional hydro-distillation extraction. Various quality parameters, including yield, total phenolic compounds, antioxidants, and [...] Read more.
This research aimed to optimize pressure (10–20 MPa) and temperature (45–60 °C) conditions for supercritical fluid extraction (SFE) of Makwaen pepper (Zanthoxylum myriacanthum) extract (ME) in comparison to conventional hydro-distillation extraction. Various quality parameters, including yield, total phenolic compounds, antioxidants, and antimicrobial activities of the extracts, were assessed and optimized using a central composite design. The optimal SFE conditions were found to be 20 MPa at 60 °C, which resulted in the highest yield (19%) and a total phenolic compound content of 31.54 mg GAE/mL extract. IC50 values for DPPH and ABTS assays were determined to be 26.06 and 19.90 μg/mL extract, respectively. Overall, the ME obtained through SFE exhibited significantly better physicochemical and antioxidant properties compared to ME obtained through hydro-distillation extraction. Gas chromatography-mass spectrometry (GC-MS) analysis revealed that beta-pinene was the major component in the ME obtained through SFE (23.10%), followed by d-limonene, alpha-pinene, and terpinen-4-ol at concentrations of 16.08, 7.47, and 6.34%, respectively. On the other hand, the hydro-distillation-extracted ME showed stronger antimicrobial properties than the SFE-extracted ME. These findings suggest that both SFE and hydro-distillation have the potential for extracting Makwaen pepper, depending on the intended purpose of use. Full article
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<p>Makwaen pepper.</p>
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<p>Overlay plot of the response surface regression model between the temperature and pressure.</p>
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<p>Gas chromatography fingerprinting of (<b>a</b>) supercritical fluid extracted ME and (<b>b</b>) hydro-distilled ME.</p>
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<p>Appearance of ME extracted by (<b>a</b>) hydro-distillation and (<b>b</b>) supercritical fluid extraction.</p>
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16 pages, 3356 KiB  
Article
Bioefficacy of Nga-Mon (Perilla frutescens) Fresh and Dry Leaf: Assessment of Antioxidant, Antimutagenicity, and Anti-Inflammatory Potential
by Payungsak Tantipaiboonwong, Komsak Pintha, Wittaya Chaiwangyen, Maitree Suttajit, Chakkrit Khanaree and Orawan Khantamat
Plants 2023, 12(11), 2210; https://doi.org/10.3390/plants12112210 - 3 Jun 2023
Cited by 4 | Viewed by 2046
Abstract
Perilla leaves are known to be a rich source of polyphenols, which have been shown to exhibit various biological effects. This study aimed to compare the bioefficacies and bioactivities of fresh (PLEf) and dry (PLEd) Thai perilla (Nga-mon) leaf [...] Read more.
Perilla leaves are known to be a rich source of polyphenols, which have been shown to exhibit various biological effects. This study aimed to compare the bioefficacies and bioactivities of fresh (PLEf) and dry (PLEd) Thai perilla (Nga-mon) leaf extracts. Phytochemical analysis indicated that both PLEf and PLEd were abundant in rosmarinic acid and bioactive phenolic compounds. PLEd, which had higher levels of rosmarinic acid but lower levels of ferulic acid and luteolin than PLEf, exhibited greater effectiveness in a free radical scavenging assay. Furthermore, both extracts were found to suppress intracellular ROS generation and exhibit antimutagenic activity against food-borne carcinogens in S. typhimurium. They also attenuated lipopolysaccharide-induced inflammation in RAW 264.7 cells by inhibiting the expression of nitric oxide, iNOS, COX-2, TNF-α, IL-1β, and IL-6 through the suppression of NF-κB activation and translocation. However, PLEf exhibited a higher ability to suppress cellular ROS production and higher antimutagenic and anti-inflammatory activities than PLEd, which can be attributed to its combination of phytochemical components. Overall, PLEf and PLEd have the potential to serve as natural bioactive antioxidant, antimutagenic, and anti-inflammatory agents to achieve potential health benefits. Full article
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<p>Antioxidant capacity of PLEs: (<b>A</b>) the scavenging of DPPH and (<b>B</b>) ABTS radicals. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD.</p>
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<p>The cytotoxic effect of PLE<sub>f</sub> and PLE<sub>d</sub> on (<b>A</b>) PBMCs and (<b>B</b>) RAW 264.7 cells at 48 h. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD.</p>
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<p>Intracellular ROS production in PBMCs. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 versus no extract treatment.</p>
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<p>Effect of PLEs on (<b>A</b>) NO production and (<b>B</b>) cell viability of LPS-treated RAW 264.7 cells. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 versus LPS without extract treatment.</p>
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<p>Effect of PLEs on LPS-induced mRNA expression of (<b>A</b>) iNOS and (<b>B</b>) COX-2 in RAW 264.7 cells. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 versus LPS without extract treatment.</p>
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<p>Effect of PLEs on LPS-induced iNOS and COX-2 production in RAW 264.7 cells. The cells were pretreated with different concentrations of PLEs for 2 h and then co-treated with 1 µg/mL of LPS for 22 h. iNOS and COX-2 levels in whole-cell lysate were detected through the Western blot analysis, and the data from a typical experiment are presented. Similar results were obtained from two independent experiments (<span class="html-italic">n</span> = 2). Error bars indicate SD. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 versus LPS without extract treatment.</p>
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<p>Effect of PLEs on LPS-induced (<b>A</b>) TNF-α and (<b>B</b>) IL-6 production in RAW 264.7 cells. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 versus LPS without extract treatment.</p>
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<p>Effect of PLEs on LPS-induced (<b>A</b>) TNF-α, (<b>B</b>) IL-6, and (<b>C</b>) IL-1β mRNA expression in RAW 264.7 cells. Data represent the mean of three independent triplicate experiments (<span class="html-italic">n</span> = 3). Error bars indicate SD. * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001 versus LPS without extract treatment.</p>
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<p>Effects of PLEs on LPS-induced (<b>A</b>) NF-κB and (<b>B</b>) AP-1 activation in RAW 264.7 cells. The cells were pretreated with various concentrations of PLEs for 12 h and then co-treated with 1 μg/mL of LPS for 45 min. The total NF-κB p65 and its phosphorylation levels in the whole-cell lysate were detected through Western blot analysis, and the data from a typical experiment are presented, while similar results were obtained from three independent experiments (<span class="html-italic">n</span> = 3). Nuclear extracts were prepared in order to analyze the nuclear translocation of AP-1 (c-Jun), and the data represent the mean of two independent experiments (<span class="html-italic">n</span> = 2). Error bars indicate SD. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 versus LPS without extract treatment.</p>
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17 pages, 4069 KiB  
Article
Elucidation of Geniposide and Crocin Accumulation and Their Biosysnthsis-Related Key Enzymes during Gardenia jasminoides Fruit Growth
by Luhong Zhang, Yang Ai, Yunzhu Chen, Changzhu Li, Peiwang Li, Jingzhen Chen, Lijuan Jiang, Yuhong Pan, An Sun, Yan Yang and Qiang Liu
Plants 2023, 12(11), 2209; https://doi.org/10.3390/plants12112209 - 3 Jun 2023
Cited by 7 | Viewed by 2416
Abstract
Gardenia jasminoides fruits are extensively grown worldwide, with a large harvest, and its major medicinal ingredients are geniposide and crocins. Research on their accumulation and biosynthsis-related enzymes is rare. In this study, the accumulation of geniposide and crocin of G. jasminoides fruits at [...] Read more.
Gardenia jasminoides fruits are extensively grown worldwide, with a large harvest, and its major medicinal ingredients are geniposide and crocins. Research on their accumulation and biosynthsis-related enzymes is rare. In this study, the accumulation of geniposide and crocin of G. jasminoides fruits at different developmental stages were clarified by HPLC. The highest cumulative amount of geniposide was 2.035% during the unripe-fruit period, and the highest content of crocin was 1.098% during the mature-fruit period. Furthermore, transcriptome sequencing was performed. A total of 50 unigenes encoding 4 key enzymes related in geniposide biosynthsis pathways were screened, and 41 unigenes encoding 7 key enzymes in the pathways of crocin were elucidated. It was found that the expression levels of differentially expressed genes of DN67890_c0_g1_i2-encoding GGPS, which is highly related to geniposide biosynthesis, and DN81253_c0_g1_i1-encoding lcyB, DN79477_c0_g1_i2-encoding lcyE, and DN84975_c1_g7_i11-encoding CCD, which are highly related to crocin biosynthesis, were consistent with the accumulation of geniposide and crocin content, respectively. The qRT-PCR results showed that the trends of relative expression were consistent with transcribed genes. This study provides insights for understanding the geniposide and crocin accumulation and biosynthsis during fruit development in G. jasminoides. Full article
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<p><span class="html-italic">Gardenia jasminoides</span> fruit and the chemical structures of geniposide and crocin.</p>
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<p>Shifting colors and morphological traits of <span class="html-italic">G. jasminoides</span> fruit. Note: The sarcocarps (fruits with peeled-off husks) are in the top row; the intact fruits are in the bottom row. DAF:day after flowering.</p>
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<p>Phenotypic trait of <span class="html-italic">G. jasminoides</span> fruit development. Note: Data values are presented from ten biological replicates. One-way analysis was used to test the significant difference, and different lowercase letters in the module indicate significant difference (<span class="html-italic">p</span> &lt; 0.05). The morphological changes of fruit width (<b>a</b>), fruit length (<b>b</b>), fresh fruit weight (<b>c</b>) and dried fruit weight (<b>d</b>) of <span class="html-italic">G. jasminoides</span> fruit during different developmental periods.</p>
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<p>Dynamic accumulation of geniposide and crocin content. Note: Data values are presented from three biological replicates. One-way analysis was used to test the significant difference, and different lowercase letters in the module indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). The content changes of geniposide (<b>a</b>) and crocin-Ⅰ (<b>b</b>) in <span class="html-italic">G. jasminoides</span> fruit during different developmental periods.</p>
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<p>Unigenes classifid by KEGG pathways of <span class="html-italic">G. jasminoides</span> fruit.</p>
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<p>DEGs analysis of <span class="html-italic">G. jasminoides</span> fruit. Note: DEGs analysis of <span class="html-italic">G. jasminoides</span> fruit at three different developmental periods (<b>a</b>) and DEGs annotated by KEGG enrichment analysis in ‘T1 vs. T3’ (<b>b</b>).</p>
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<p>The schematic diagram of the pathway of geniposide biosynthesis in <span class="html-italic">G. jasminoides</span> fruit.</p>
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<p>The schematic diagram of the pathway of crocin biosynthesis in <span class="html-italic">G. jasminoides</span> fruit.</p>
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<p>Relative expression levels of DEGs in three development periods of <span class="html-italic">G. jasminoides</span> fruit.</p>
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9 pages, 3041 KiB  
Conference Report
Sustainable Stress Management: Aquatic Plants vs. Terrestrial Plants
by K. Sowjanya Sree, Klaus J. Appenroth and Ralf Oelmüller
Plants 2023, 12(11), 2208; https://doi.org/10.3390/plants12112208 - 3 Jun 2023
Cited by 1 | Viewed by 1684
Abstract
The Indo-German Science and Technology Centre (IGSTC) funded an Indo-German Workshop on Sustainable Stress Management: Aquatic plants vs. Terrestrial plants (IGW-SSMAT) which was jointly organized at the Friedrich Schiller University of Jena, Germany from 25 to 27 July 2022 by Prof. [...] Read more.
The Indo-German Science and Technology Centre (IGSTC) funded an Indo-German Workshop on Sustainable Stress Management: Aquatic plants vs. Terrestrial plants (IGW-SSMAT) which was jointly organized at the Friedrich Schiller University of Jena, Germany from 25 to 27 July 2022 by Prof. Dr. Ralf Oelmüller, Friedrich Schiller University of Jena, Germany as the German coordinator and Dr. K. Sowjanya Sree, Central University of Kerala, India as the Indian Coordinator. The workshop constituted researchers working in this field from both India and Germany and brought together these experts in the field of sustainable stress management for scientific discussions, brainstorming and networking. Full article
(This article belongs to the Special Issue Duckweed: Research Meets Applications)
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<p>Inauguration of the Indo-German Workshop—SSMAT. (<b>A</b>) K. Sowjanya Sree (Indian coordinator) felicitating Ralf Oelmüller (German coordinator). (<b>B</b>) K. Sowjanya Sree felicitating Klaus-J. Appenroth (Right) in the presence of Ralf Oelmüller (Center).</p>
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<p>Group photo of the IGW-SSMAT participants.</p>
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<p>Scientific discussion between the IGW-SSMAT team and IGSTC team. From left to right: Saquib Shaikh, Deputy Scientific Officer, IGSTC; R. Madhan, Director, IGSTC; K. Sowjanya Sree, Central University of Kerala, India; P. V. Lalitha, Senior Scientific Officer, IGSTC; Klaus-J. Appenroth, University of Jena, Germany.</p>
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19 pages, 1133 KiB  
Review
Biofilm-Forming Ability of Phytopathogenic Bacteria: A Review of its Involvement in Plant Stress
by María Evangelina Carezzano, María Fernanda Paletti Rovey, Lorena del Rosario Cappellari, Lucas Antonio Gallarato, Pablo Bogino, María de las Mercedes Oliva and Walter Giordano
Plants 2023, 12(11), 2207; https://doi.org/10.3390/plants12112207 - 3 Jun 2023
Cited by 12 | Viewed by 4558
Abstract
Phytopathogenic bacteria not only affect crop yield and quality but also the environment. Understanding the mechanisms involved in their survival is essential to develop new strategies to control plant disease. One such mechanism is the formation of biofilms; i.e., microbial communities within a [...] Read more.
Phytopathogenic bacteria not only affect crop yield and quality but also the environment. Understanding the mechanisms involved in their survival is essential to develop new strategies to control plant disease. One such mechanism is the formation of biofilms; i.e., microbial communities within a three-dimensional structure that offers adaptive advantages, such as protection against unfavorable environmental conditions. Biofilm-producing phytopathogenic bacteria are difficult to manage. They colonize the intercellular spaces and the vascular system of the host plants and cause a wide range of symptoms such as necrosis, wilting, leaf spots, blight, soft rot, and hyperplasia. This review summarizes up-to-date information about saline and drought stress in plants (abiotic stress) and then goes on to focus on the biotic stress produced by biofilm-forming phytopathogenic bacteria, which are responsible for serious disease in many crops. Their characteristics, pathogenesis, virulence factors, systems of cellular communication, and the molecules implicated in the regulation of these processes are all covered. Full article
(This article belongs to the Special Issue Advances in Plant-Fungal Pathogen Interaction)
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<p>Cyclic model of disease by phytopathogenic bacteria consisting of several distinct stages: 1. Survival or source of inoculum: The bacteria survive outside the host by developing in another environment or by remaining dormant. 2. Dissemination: The bacteria spread. 3. Inoculation: The bacteria come into contact with the plant. 4. Penetration: The bacteria enter the plant. 5. Colonization: The bacteria disseminate within the plant. 6. Appearance of symptoms: This is the result of bacteria producing phytotoxins, EPS, exoenzymes, phytohormones, etc.</p>
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<p>Involvement of biofilm in interactions between plants and phytopathogenic bacteria.</p>
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23 pages, 5545 KiB  
Article
Genome-Wide Association Study Identified Candidate Genes for Alkalinity Tolerance in Rice
by Lovepreet Singh, Rajat Pruthi, Sandeep Chapagain and Prasanta K. Subudhi
Plants 2023, 12(11), 2206; https://doi.org/10.3390/plants12112206 - 3 Jun 2023
Cited by 2 | Viewed by 2343
Abstract
Alkalinity stress is a major hindrance to enhancing rice production globally due to its damaging effect on plants’ growth and development compared with salinity stress. However, understanding of the physiological and molecular mechanisms of alkalinity tolerance is limited. Therefore, a panel of indica [...] Read more.
Alkalinity stress is a major hindrance to enhancing rice production globally due to its damaging effect on plants’ growth and development compared with salinity stress. However, understanding of the physiological and molecular mechanisms of alkalinity tolerance is limited. Therefore, a panel of indica and japonica rice genotypes was evaluated for alkalinity tolerance at the seedling stage in a genome-wide association study to identify tolerant genotypes and candidate genes. Principal component analysis revealed that traits such as alkalinity tolerance score, shoot dry weight, and shoot fresh weight had the highest contribution to variations in tolerance, while shoot Na+ concentration, shoot Na+:K+ ratio, and root-to-shoot ratio had moderate contributions. Phenotypic clustering and population structure analysis grouped the genotypes into five subgroups. Several salt-susceptible genotypes such as IR29, Cocodrie, and Cheniere placed in the highly tolerant cluster suggesting different underlying tolerance mechanisms for salinity and alkalinity tolerance. Twenty-nine significant SNPs associated with alkalinity tolerance were identified. In addition to three alkalinity tolerance QTLs, qSNK4, qSNC9, and qSKC10, which co-localized with the earlier reported QTLs, a novel QTL, qSNC7, was identified. Six candidate genes that were differentially expressed between tolerant and susceptible genotypes were selected: LOC_Os04g50090 (Helix-loop-helix DNA-binding protein), LOC_Os08g23440 (amino acid permease family protein), LOC_Os09g32972 (MYB protein), LOC_Os08g25480 (Cytochrome P450), LOC_Os08g25390 (Bifunctional homoserine dehydrogenase), and LOC_Os09g38340 (C2H2 zinc finger protein). The genomic and genetic resources such as tolerant genotypes and candidate genes would be valuable for investigating the alkalinity tolerance mechanisms and for marker-assisted pyramiding of the favorable alleles for improving alkalinity tolerance at the seedling stage in rice. Full article
(This article belongs to the Special Issue Advances in Genetics and Breeding of Grain Crops)
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<p>Variation in alkalinity tolerance among the rice genotypes based on alkalinity tolerance score (AKT) at the seedling stage.</p>
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<p>Performance of some of the lines (known salt-tolerance level) after 21 days of alkaline stress at the seedling stage. The scale represents the alkalinity tolerance score (AKT) after the stress on a scale of 1 (highly tolerant) to 9 (highly susceptible).</p>
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<p>Frequency distribution of nine morphological and physiological traits under alkaline stress. AKT, alkalinity tolerance score; SHL, shoot length; RTL, root length; RSR, root-to-shoot ratio; inv_FW, inverse fresh weight; log_DW, log dry weight; SNC, shoot Na<sup>+</sup> concentration; SKC, shoot K<sup>+</sup> concentration; SNK, shoot Na<sup>+</sup>:K<sup>+</sup> concentration.</p>
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<p>Principal component analysis (PCA) plot. (<b>a</b>) Grouping of variables associated with nine morphological and physiological traits of rice genotypes under alkalinity stress at the seedling stage, (<b>b</b>) Scatter plot of the <span class="html-italic">indica</span> and <span class="html-italic">japonica</span> rice genotypes represented in the two major principal component axes. No sufficient clustering was observed between <span class="html-italic">indica</span> and <span class="html-italic">japonica</span> genotypes. AKT, alkalinity tolerance score; CHL, chlorophyll content (SPAD units); SHL, shoot length (cm); RTL, root length (cm); log_DW, log dry weight (gm); inv_FW, inverse fresh weight (gm); SNC, Shoot Na<sup>+</sup> concentration (mmol/kg); SKC, shoot K<sup>+</sup> concentration (mmol/kg); SNK, shoot Na<sup>+</sup>:K<sup>+</sup> ratio.</p>
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<p>Phenotypic clustering of rice genotypes by UPGMA based on Euclidean distance computed from nine morphological and physiological traits under alkalinity stress at the seedling stage.</p>
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<p>Population structure analysis of rice genotypes. (<b>a</b>) identification of the optimum number of subpopulations using LnP(D) derived ΔK. The maximum value of ΔK was found to be at K = 5, suggesting a division of the entire population into five subpopulations. The X-axis shows the number of subgroups (K) and Y-axis shows rate change of log probability values (ΔK) with change in K (<b>b</b>) Assignment of rice genotypes into five subpopulations, with the X-axis and Y-axis representing genotypes and the proportion of genetic ancestry in the subgroup membership, respectively. The genotypes present in each subgroup are listed in <a href="#app1-plants-12-02206" class="html-app">Table S5</a>.</p>
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<p>Genome-wide average linkage disequilibrium decay across all chromosomes. The X-axis and Y-axis represent the distance (bp) and LD, respectively. The intersection of green and blue lines indicates the derived threshold for LD due to linkage at respective distance (blue line) and LD (green line).</p>
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<p>Manhattan plots of the markers associated with alkalinity tolerance in rice. The X-axis shows markers along the 12 rice chromosomes and the Y-axis shows the negative log<sub>10</sub>- transformed <span class="html-italic">p</span>-values for each association. Red dotted lines indicate the significance threshold. AKT, alkalinity tolerance score; SHL, shoot length; RTL, root length; RSR, root-to-shoot ratio; inv_FW, inverse fresh weight; log_DW, log dry weight; SNC, shoot Na<sup>+</sup> concentration; SKC, shoot K<sup>+</sup> concentration; SNK, shoot Na<sup>+</sup>:K<sup>+</sup> ratio.</p>
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<p>Expression profiles of selected genes present under alkalinity stress (6 h after imposition of stress) in the tolerant and susceptible groups. Red and blue in the bars represent tolerant and susceptible groups, respectively. Genotypes included in the experiment were: 1—JN100; 2—Cheniere, 3—Cocodrie; 4—Nipponbare; 5—N22; 6—Dular; 7—Cypress; 8—Hasawi. EF1α was used as the reference gene and gene expressions were calculated as log2-fold changes under alkaline stress compared with control in all genotypes. LOC_Os04g50090—Helix–loop–helix DNA-binding protein; LOC_Os08g23440—amino acid permease family protein; LOC_Os09g32972—MYB protein; LOC_Os10g35230—Rf1, mitochondrial precursor; LOC_Os03g25480—cytochrome P450; LOC_Os08g25390—Bifunctional homoserine dehydrogenase; LOC_Os09g38340—ZOS9-17—C2H2 zinc finger protein, LOC_Os04g58160—Fiber protein Fb34, putative.</p>
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15 pages, 1304 KiB  
Article
Duplex Real-Time PCR Assays for the Simultaneous Detection and Quantification of Botryosphaeriaceae Species Causing Canker Diseases in Woody Crops
by Laura Romero-Cuadrado, Carlos José López-Herrera, Ana Aguado and Nieves Capote
Plants 2023, 12(11), 2205; https://doi.org/10.3390/plants12112205 - 2 Jun 2023
Cited by 7 | Viewed by 2052
Abstract
Woody canker diseases caused by fungi of the Botryosphaeriaceae family are producing increasing losses in many economically important woody crops, including almond. To develop a molecular tool for the detection and quantification of the most aggressive and threatening species is of main importance. [...] Read more.
Woody canker diseases caused by fungi of the Botryosphaeriaceae family are producing increasing losses in many economically important woody crops, including almond. To develop a molecular tool for the detection and quantification of the most aggressive and threatening species is of main importance. This will help to prevent the introduction of these pathogens in new orchards and to conveniently apply the appropriate control measures. Three reliable, sensitive and specific duplex qPCR assays using TaqMan probes have been designed for the detection and quantification of (a) Neofusicoccum parvum and the Neofusicoccum genus, (b) N. parvum and the Botryosphaeriaceae family and (c) Botryosphaeria dothidea and the Botryosphaeriaceae family. The multiplex qPCR protocols have been validated on artificially and naturally infected plants. Direct systems to process plant materials, without DNA purification, allowed high-throughput detection of Botryosphaeriaceae targets even in asymptomatic tissues. These results validate the qPCR using the direct sample preparation method as a valuable tool for Botryosphaeria dieback diagnosis allowing a large-scale analysis and the preventive detection of latent infection. Full article
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<p>Standard curves in simplex and duplex qPCR for the quantitative detection of (<b>a</b>) <span class="html-italic">Neofusicoccum parvum</span>; (<b>b</b>) <span class="html-italic">Botryosphaeria dothidea</span>; (<b>c</b>) <span class="html-italic">Neofusicoccum</span> genus; (<b>d</b>) <span class="html-italic">Botryosphaeriaceae</span> family; (<b>e</b>) <span class="html-italic">N. parvum</span> and <span class="html-italic">Neofusicoccum</span> genus; (<b>f</b>) <span class="html-italic">N. parvum</span> and <span class="html-italic">Botryosphaeriaceae</span> family; and (<b>g</b>) <span class="html-italic">B. dothidea</span> and <span class="html-italic">Botryosphaeriaceae</span> family<span class="html-italic">. N. parvum</span> and <span class="html-italic">B. dothidea</span> were detected with FAM fluorophore<span class="html-italic">. Neofusicoccum</span> genus and <span class="html-italic">Botryosphaeriaceae</span> family were detected with SUN fluorophore. Ten-fold dilutions of genomic DNA from pure colonies of <span class="html-italic">N. parvum</span> and <span class="html-italic">B. dothidea</span> (1 ng to 10 fg) were amplified in three or six (10 fg point, limit of detection) replicates. Efficiency (E), coefficient of determination (R<sup>2</sup>) and regression equations of standard curves are shown for each qPCR reaction.</p>
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<p>Incidence of latent infection of <span class="html-italic">Neofusicoccum parvum</span> (<span class="html-italic">Np</span>) and <span class="html-italic">Botryosphaeria dothidea</span> (<span class="html-italic">Bd</span>) in asymptomatic almond twigs artificially inoculated with isolates NpALM2 and BdALM2, respectively, measured at 3, 6, 10, 13 and 16 days after inoculation (dai).</p>
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13 pages, 1952 KiB  
Article
PhCHS5 and PhF3′5′H Genes Over-Expression in Petunia (Petunia hybrida) and Phalaenopsis (Phalaenopsis aphrodite) Regulate Flower Color and Branch Number
by Yuxia Lou, Qiyu Zhang, Qingyu Xu, Xinyu Yu, Wenxin Wang, Ruonan Gai and Feng Ming
Plants 2023, 12(11), 2204; https://doi.org/10.3390/plants12112204 - 2 Jun 2023
Cited by 5 | Viewed by 2683
Abstract
Flower breeders are continually refining their methods for producing high-quality flowers. Phalaenopsis species are considered the most important commercially grown orchids. Advances in genetic engineering technology have provided researchers with new tools that can be used along with traditional breeding methods to enhance [...] Read more.
Flower breeders are continually refining their methods for producing high-quality flowers. Phalaenopsis species are considered the most important commercially grown orchids. Advances in genetic engineering technology have provided researchers with new tools that can be used along with traditional breeding methods to enhance floral traits and quality. However, the application of molecular techniques for the breeding of new Phalaenopsis species has been relatively rare. In this study, we constructed recombinant plasmids carrying flower color-related genes, Phalaenopsis Chalcone synthase (PhCHS5) and/or Flavonoid 3′,5′-hydroxylase (PhF3′5′H). These genes were transformed into both Petunia and Phalaenopsis plants using a gene gun or an Agrobacterium tumefaciens-based method. Compared with WT, 35S::PhCHS5 and 35S::PhF3′5′H both had deeper color and higher anthocyanin content in Petunia plants. Additionally, a phenotypic comparison with wild-type controls indicated the PhCHS5 or PhF3′5′H-transgenic Phalaenopsis produced more branches, petals, and labial petals. Moreover, PhCHS5 or PhF3′5′H-transgenic Phalaenopsis both showed deepened lip color, compared with the control. However, the intensity of the coloration of the Phalaenopsis lips decreased when protocorms were co-transformed with both PhCHS5 and PhF3′5′H. The results of this study confirm that PhCHS5 and PhF3′5′H affect flower color in Phalaenopsis and may be relevant for the breeding of new orchid varieties with desirable flowering traits. Full article
(This article belongs to the Special Issue Innovation and Advanced Technology for Orchid Research)
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<p>Construction of recombinant plasmids carrying the <span class="html-italic">PhCHS5</span> and <span class="html-italic">PhF3′5′H</span> sequences for the transformation of <span class="html-italic">Petunia</span>. (<b>a</b>) Confirmation of the construction of the pCAMBIA2301-sense-<span class="html-italic">CHS5</span> plasmid by PCR. Regarding the plasmid with <span class="html-italic">PhCHS5</span> in the forward direction, lane 1 presents the fragment amplified with the Cav35s-primerF and CHS-XR’ primers. Lane 2 presents the approximately 750-bp non-specific band amplified by PCR with the Cav35s-primerF and CHS-XF primers. (<b>b</b>) Confirmation of the transformation of <span class="html-italic">A. tumefaciens</span> cells with <span class="html-italic">PhF3′5′H</span> by PCR. Lanes 1 to 8 represent transformed <span class="html-italic">A. tumefaciens</span> colonies that were analyzed by PCR. (<b>c</b>) <span class="html-italic">Petunia</span> leaf explants during the transformation procedure. (<b>d</b>) Mature transgenic plant. (<b>e</b>) Transgenic <span class="html-italic">Petunia</span> tissue culture. (<b>f</b>) Rooting of transgenic <span class="html-italic">Petunia</span> plants. (<b>g</b>) Preliminary identification of <span class="html-italic">PhCHS5</span>-transformed <span class="html-italic">Petunia</span> plants by PCR. Each lane represents a different <span class="html-italic">Petunia</span> strain. The red arrow indicates the <span class="html-italic">PhCHS5</span> stripe; WT for wild type; +stand for vector with NPTII gene (<b>h</b>) Preliminary identification of <span class="html-italic">PhF3′5′H</span>-transformed <span class="html-italic">Petunia</span> plants by PCR. Each lane represents a different <span class="html-italic">Petunia</span> strain. The black arrow indicates the <span class="html-italic">PhF3′5′H</span> stripe; WT for wild type; Ev stand for vector with only NPTII gene without <span class="html-italic">PhF3′5′H</span>.</p>
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<p>Phenotypic analysis and anthocyanin content determination of <span class="html-italic">Petunia</span> mutants <span class="html-italic">PhCHS5</span> and <span class="html-italic">PhF3′5′H</span>. (<b>a</b>) Anthocyanin content of <span class="html-italic">Petunia hybrida</span> transformed by <span class="html-italic">PhCHS5</span>. (<b>b</b>) The phenotype of <span class="html-italic">Petunia</span> transformed by <span class="html-italic">PhF3′5′H.</span> (<b>c</b>) Anthocyanin content of <span class="html-italic">Petunia hybrida</span> transformed by <span class="html-italic">PhF3′5′H</span>. WT: Wild Type. The data were expressed as mean ± standard error and repeated three times for each sample. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Induction of the <span class="html-italic">Phalaenopsis</span> protocorm. (<b>a</b>) Swollen axillary bud. (<b>b</b>) Seedling generated directly from an axillary bud. (<b>c</b>) Protocorm development. (<b>d</b>) Protocorm enlargement. (<b>e</b>) Seedling cluster. (<b>f</b>–<b>i</b>) Protocorms from YD4 (<b>f</b>,<b>g</b>), YD2 (<b>h</b>) and YD1 (<b>i</b>), respectively.</p>
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<p>Screening of <span class="html-italic">Phalaenopsis</span> protocorms carrying <span class="html-italic">PhCHS5</span> and <span class="html-italic">PhF3′5′H</span> after transformations. (<b>a</b>) <span class="html-italic">PhCHS5</span>-transgenic <span class="html-italic">Phalaenopsis</span> protocorms. The image on the right is a close-focus image of the image on the left (<b>b</b>) Confirmation of the transformation of <span class="html-italic">Phalaenopsis</span> protocorms with <span class="html-italic">PhCHS5</span> by PCR for <span class="html-italic">Kan</span> gene.M stands for marker, 1–10 stands for transformation seedlings. (<b>c</b>) <span class="html-italic">PhF3′5′H</span>-transgenic <span class="html-italic">Phalaenopsis</span> protocorms. <a href="#plants-12-02204-f001" class="html-fig">Figure 1</a> is a close-focus image, and <a href="#plants-12-02204-f002" class="html-fig">Figure 2</a>, <a href="#plants-12-02204-f003" class="html-fig">Figure 3</a> and <a href="#plants-12-02204-f004" class="html-fig">Figure 4</a> are three representative repeating telefocal images (<b>d</b>) Molecular confirmation of the presence of <span class="html-italic">PhF3′5′H</span> in the transformed samples by PCR for <span class="html-italic">Kan</span> gene. M stands for marker, 1–5 stands for transformation seedlings.</p>
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<p>Phenotypes of the transgenic <span class="html-italic">Phalaenopsis</span> samples. (<b>a</b>,<b>b</b>) Branch number of the transgenic plants. (<b>c</b>) Flower phenotypes of the transgenic plants. WT: Wild Type. The data were expressed as mean ± standard error and repeated three times for each sample. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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14 pages, 739 KiB  
Article
Cytotoxic, Anti-Hemolytic, and Antioxidant Activities of Ruta chalepensis L. (Rutaceae) Extract, Fractions, and Isolated Compounds
by Joel H. Elizondo-Luévano, Nancy E. Rodríguez-Garza, Aldo F. Bazaldúa-Rodríguez, César I. Romo-Sáenz, Patricia Tamez-Guerra, María J. Verde-Star, Ricardo Gomez-Flores and Ramiro Quintanilla-Licea
Plants 2023, 12(11), 2203; https://doi.org/10.3390/plants12112203 - 2 Jun 2023
Cited by 10 | Viewed by 2662
Abstract
Ruta chalepensis is an herb used to treat various ailments, and its potential cytotoxic effects on different tumor cell lines have been extensively studied. The present study aimed to evaluate the cytotoxic activity of R. chalepensis methanol extract (RCME), sub-partitions obtained from solvents [...] Read more.
Ruta chalepensis is an herb used to treat various ailments, and its potential cytotoxic effects on different tumor cell lines have been extensively studied. The present study aimed to evaluate the cytotoxic activity of R. chalepensis methanol extract (RCME), sub-partitions obtained from solvents of increasing polarity, and major compounds, as well as their hemolytic, anti-hemolytic, and antioxidant potential. The in vitro cytotoxic activity against the human hepatocarcinoma (HEP-G2) and the murine lymphoma cell line (L5178Y-R) was evaluated using the colorimetric 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) reduction assay, whereas selectivity indices (SIs) were determined by comparing cytotoxicity against normal African green monkey kidney cells (VERO) and human peripheral blood mononuclear cells (PBMC). Hemolytic and anti-hemolytic activities were evaluated on human erythrocytes. The most effective cytotoxic treatment was evaluated for nitric oxide release by J774A.1 macrophages. Antioxidant activity of R. chalepensis material was also determined. Results showed that RCME produced significant (p < 0.05) cytotoxicity in HEP-G2 (IC50 = 1.79 µg/mL) and L5178Y-R (IC50 = 1.60 µg/mL) cells and exhibited high SIs (291.50 and 114.80, respectively). In addition, the n-hexane fraction (RCHF) showed an IC50 of 18.31 µg/mL in HEP-G2 cells and an SI of 9.48 in VERO cells, whereas the chloroform fraction (RCCF) evidenced an IC50 of 1.60 µg/mL in L5178Y-R cells and an SI of 34.27 in PBMC cells. Chalepensin (CHL), rutamarin (RTM), and graveolin (GRV), which are major components of R. chalepensis, showed high activity against L5178Y-R cells, with IC50 of 9.15, 15.13 and SI of 45.08 µg/mL, respectively. In addition, CHL, RTM, and GRV showed SIs of 24.76, 9.98, and 3.52, respectively, when compared with PBMC cells. RCME at concentrations of 125 µg/mL and 250 µg/mL, significantly (p < 0.05) decreased nitrite production in J774A.1 cells, when exposed to lipopolysaccharide. This study demonstrated that RCME showed significant cytotoxic activity against HEP-G2 and L5178Y-R cells, without affecting normal VERO, PBMC, and J774A.1 cells. Full article
(This article belongs to the Special Issue Bioactive Compounds in Plants: Store House of Modern Drugs)
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<p>Structure of CHL (PubChem CID: 128834; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/Chalepensin" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/Chalepensin</a>), RTM (PubChem CID: 26948; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/26948" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/26948</a>), and GRV (PubChem CID: 353825; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/353825" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/353825</a>). All structure links were accessed on 14 October 2022.</p>
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<p>Structure of CHL (PubChem CID: 128834; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/Chalepensin" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/Chalepensin</a>), RTM (PubChem CID: 26948; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/26948" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/26948</a>), and GRV (PubChem CID: 353825; <a href="https://pubchem.ncbi.nlm.nih.gov/compound/353825" target="_blank">https://pubchem.ncbi.nlm.nih.gov/compound/353825</a>). All structure links were accessed on 14 October 2022.</p>
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26 pages, 10411 KiB  
Article
Identification of Potential Phytochemical/Antimicrobial Agents against Pseudoperonospora cubensis Causing Downy Mildew in Cucumber through In-Silico Docking
by Nagaraju Jhansirani, Venkatappa Devappa, Chittarada Gopal Sangeetha, Shankarappa Sridhara, Kodegandlu Subbanna Shankarappa and Mooventhiran Mohanraj
Plants 2023, 12(11), 2202; https://doi.org/10.3390/plants12112202 - 2 Jun 2023
Cited by 2 | Viewed by 2265
Abstract
Compatibility interactions between the host and the fungal proteins are necessary to successfully establish a disease in plants by fungi or other diseases. Photochemical and antimicrobial substances are generally known to increase plant resilience, which is essential for eradicating fungus infections. Through homology [...] Read more.
Compatibility interactions between the host and the fungal proteins are necessary to successfully establish a disease in plants by fungi or other diseases. Photochemical and antimicrobial substances are generally known to increase plant resilience, which is essential for eradicating fungus infections. Through homology modeling and in silico docking analysis, we assessed 50 phytochemicals from cucumber (Cucumis sativus), 15 antimicrobial compounds from botanical sources, and six compounds from chemical sources against two proteins of Pseudoperonospora cubensis linked to cucumber downy mildew. Alpha and beta sheets made up the 3D structures of the two protein models. According to Ramachandran plot analysis, the QNE 4 effector protein model was considered high quality because it had 86.8% of its residues in the preferred region. The results of the molecular docking analysis showed that the QNE4 and cytochrome oxidase subunit 1 proteins of P. cubensis showed good binding affinities with glucosyl flavones, terpenoids and flavonoids from phytochemicals, antimicrobial compounds from botanicals (garlic and clove), and chemically synthesized compounds, indicating the potential for antifungal activity. Full article
(This article belongs to the Special Issue Antimicrobial Activity of Natural Compounds)
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<p>The workflow of molecular docking analysis of phytochemicals, antimicrobial compounds, and chemically synthesized compound agents with proteins of <span class="html-italic">P. cubensis</span>.</p>
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<p>Comparative protein model quality assessment by using a Ramachandran plot for (<b>a</b>) QNE4 and (<b>b</b>) cytochrome oxidase subunit 1 proteins.</p>
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<p>Two-dimensional visualization of the interaction between the QNE 4 effector protein and the top five phytochemicals (<b>A</b>) Cucumerin A (<b>B</b>) Cucumerin B (<b>C</b>) Isocarpin (<b>D</b>) Apigenin-7-<span class="html-italic">O-</span> glucoside (<b>E</b>) Cucurbitacin-B.</p>
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<p>Two-dimensional visualization of the interaction between the cytochrome oxidase subunit 1 protein and the top five phytochemicals (<b>A</b>) Cucurbitacin-I (<b>B</b>) Saponarin (<b>C</b>) Cucurbitacin-D (<b>D</b>) Cucurbitacin-E (<b>E</b>) Swertianolin S.</p>
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<p>Two-dimensional visualization of the interaction between the cytochrome oxidase subunit 1 protein and top compounds from botanicals and chemical sources (<b>A</b>) Azoxystrobin (<b>B</b>) Allyl acetate (<b>C</b>) Kresoxim methyl (<b>D</b>) Curzate.</p>
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<p>Two-dimensional visualization of the interaction between the QNE 4 effector protein and top compounds from botanicals and chemical sources (<b>A</b>) Azoxystrobin (<b>B</b>) Allyl acetate (<b>C</b>) Salicylic acid (<b>D</b>) Curzate (<b>E</b>) Allixin.</p>
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<p>Inhibition of sporangia germination (<b>a</b>) clove oil @5% (<b>b</b>) Garlic @15% (<b>c</b>) Control.</p>
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11 pages, 834 KiB  
Article
Enhancing Attention and Interest in Plants to Mitigate Plant Awareness Disparity
by Pavol Prokop and Jana Fančovičová
Plants 2023, 12(11), 2201; https://doi.org/10.3390/plants12112201 - 2 Jun 2023
Cited by 6 | Viewed by 2982
Abstract
Plant awareness disparity (PAD, formerly plant blindness) is the human inability to notice plants in everyday life. It is suggested that the main underlying factors of PAD are: 1. the inability to recognize individual plants and 2. stronger preferences for animals, which prevents [...] Read more.
Plant awareness disparity (PAD, formerly plant blindness) is the human inability to notice plants in everyday life. It is suggested that the main underlying factors of PAD are: 1. the inability to recognize individual plants and 2. stronger preferences for animals, which prevents building positive attitudes toward them. The presentation of individual plants should trigger more positive responses toward them than the presentation of groups of plants. Strong preferences for animals predict that the presence of an animal on a plant might enhance positive perceptions of the plant by people. We experimentally investigated the perceived attractiveness and willingness to protect (WTP) plants presented individually and in groups and with or without various pollinators in a sample of Slovak people (N = 238). In contrast to the first prediction, only one of four plants (dog rose, but not saffron, spruce, or beech tree) received higher attractiveness scores when presented individually than in a group. None of these species received higher WTP scores when presented individually, rather than in a group. The effect of the presence of pollinators on flower attractiveness and WTP was distinguished between vertebrates and invertebrates; only flowers with birds and bats increased their attractiveness scores, while flowers with invertebrates, including a butterfly, honeybee, beetle, and the syrphid fly, received similar or lower scores than the same plant species without pollinators. WTP plants significantly increased only when the scarlet honeycreeper and the cave nectar bat were present on flowers as pollinators. People showed significantly stronger preferences for items that associate 1. plants with pollinators and 2. plants with animals that distribute animal seed than for items focused solely on plants. Connecting animals and plants should help reduce PAD. This aim cannot be achieved, however, by presenting individual plants and/or plants with randomly chosen pollinators. Full article
(This article belongs to the Section Plant Ecology)
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<p>The perception of the attractiveness of plant flowers presented on their own (open boxes) and with pollinators (red boxes). The asterisks denote significant differences (* <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001) based on the Wilcoxon-matched pairs test. N = not significantly different. Box plots represent medians, means (x), 25th and 75th percentiles, as well as minimum and maximum values.</p>
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<p>WTP of plants presented on their own (open boxes) and with pollinators (red boxes). The asterisks denote significant differences (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01) based on the Wilcoxon-matched pairs test. N = not significantly different. Box plots represent medians, means (x), 25th and 75th percentiles, as well as minimum and maximum values.</p>
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20 pages, 2711 KiB  
Article
A Foundational Population Genetics Investigation of the Sexual Systems of Solanum (Solanaceae) in the Australian Monsoon Tropics Suggests Dioecious Taxa May Benefit from Increased Genetic Admixture via Obligate Outcrossing
by Jason T. Cantley, Ingrid E. Jordon-Thaden, Morgan D. Roche, Daniel Hayes, Stephanie Kate and Christopher T. Martine
Plants 2023, 12(11), 2200; https://doi.org/10.3390/plants12112200 - 2 Jun 2023
Cited by 2 | Viewed by 2620
Abstract
Solanum section Leptostemonum is an ideal lineage to test the theoretical framework regarding proposed evolutionary benefits of outcrossing sexual systems in comparison to cosexuality. Theoretically, non-cosexual taxa should support more genetic diversity within populations, experience less inbreeding, and have less genetic structure due [...] Read more.
Solanum section Leptostemonum is an ideal lineage to test the theoretical framework regarding proposed evolutionary benefits of outcrossing sexual systems in comparison to cosexuality. Theoretically, non-cosexual taxa should support more genetic diversity within populations, experience less inbreeding, and have less genetic structure due to a restricted ability to self-fertilize. However, many confounding factors present challenges for a confident inference that inherent differences in sexual systems influence observed genetic patterns among populations. This study provides a foundational baseline of the population genetics of several species of different sexual systems with the aim of generating hypotheses of any factor—including sexual system—that influences genetic patterns. Importantly, results indicate that dioecious S. asymmetriphyllum maintains less genetic structure and greater admixture among populations than cosexual S. raphiotes at the same three locations where they co-occur. This suggests that when certain conditions are met, the evolution of dioecy may have proceeded as a means to avoid genetic consequences of self-compatibility and may support hypotheses of benefits gained through differential resource allocation partitioned across sexes. Arguably, the most significant finding of this study is that all taxa are strongly inbred, possibly reflective of a shared response to recent climate shifts, such as the increased frequency and intensity of the region’s fire regime. Full article
(This article belongs to the Special Issue Advances in Plant Reproductive Ecology and Conservation Biology)
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<p>Map indicating known herbarium collection localities of each of the five species for which population genetics data were analyzed in this study. A view of collections within (<b>A</b>) Australia, (<b>B</b>) the northwest region, and (<b>C</b>) a closer view of Kakadu National Park and the Arnhemland Plateau. White lines and text indicate population collection localities used in this study (note that Merl Rock and Bardedjilidji populations are discrete and separated by approximately 2.5 km despite overlapping collection icons). Stars indicate human population centers along roads (denoted by orange lines). Green polygons in (<b>B</b>) indicate Litchfield National Park and Kakadu National Park.</p>
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<p>Heatmap of Weir–Cockerham-adjusted Pairwise-F<sub>ST</sub> values among (<b>A</b>) the five Australian <span class="html-italic">Solanum</span> taxa of this study and (<b>B</b>) among all 10 sampled populations from 193 total individuals and 308 bi-allelic single-nucleotide polymorphisms.</p>
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<p>Multivariate analysis visualizations of all five species representing all 10 genetically determined populations of this study from 212 total individuals and 308 bi-allelic single-nucleotide polymorphisms. (<b>A</b>) A PCA scatterplot comparison of PC1 and PC2 for all five taxa in this study. Colored points and their corresponding labels indicate species and population. (<b>B</b>) PCA for <span class="html-italic">S. raphiotes</span>. (<b>C</b>) PCA for <span class="html-italic">S. asymmetriphyllum</span>. (<b>D</b>) PCA for <span class="html-italic">S. sejunctum</span>.</p>
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<p>Results of multivariate DAPC analyses for all species (<b>A</b>) and sub-sampled analyses of the three individual species that are represented by more than one population (<b>B</b>–<b>D</b>). Each panel visualizes a <span class="html-italic">k</span>-means DAPC structure-like bar plot. This visualization of the DAPC retains the first three eigenvalues and the optimal nine PCs. Vertical bars represent the proportional assignment of each individual to one or several of the eleven <span class="html-italic">k</span>-means clusters, as indicated by colors in the legend. Species and populations are as indicated along the x-axis.</p>
Full article ">Figure 5
<p>Visualizations of multivariate analyses of the three locations with sympatrically occurring <span class="html-italic">Solanum</span> taxa with different sexual systems. The top panel (<b>A</b>) is a PCA scatterplot and below (<b>B</b>) is the DAPC structure-like bar plot for dioecious <span class="html-italic">S. asymmetriphyllum</span> and cosexual <span class="html-italic">S. raphiotes</span>, each from Merl Rock, Bardedjilidji, and Jabiluka.</p>
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