Nothing Special   »   [go: up one dir, main page]

Next Issue
Volume 10, October
Previous Issue
Volume 10, August
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 

Plants, Volume 10, Issue 9 (September 2021) – 220 articles

Cover Story (view full-size image): Glyphosate has for a long time assumed a leading role in the herbicide industry, and its benefits to the agri-food industry cannot be ignored. However, due to cumulative and increasing application practices, soil contamination by this herbicide is becoming an emerging environmental issue that needs to be critically evaluated. Therefore, sustainable ways to prevent glyphosate non-target toxicity need to be developed to ensure a safer use of this herbicide. Here, using tomato as a nontarget crop model, we show that nitric oxide, when provided as foliar spray, is able to prevent glyphosate macroscopic phytotoxicity, mainly due to its features as a radical scavenger and stimulator of defence mechanisms, thus ensuring the maintenance of the redox homeostasis under herbicide co-exposure. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Section
Select all
Export citation of selected articles as:
9 pages, 1589 KiB  
Article
Herbicide-Resistant Invasive Plant Species Ludwigia decurrens Walter
by Denny Kurniadie, Ryan Widianto, Dedi Widayat, Uum Umiyati, Ceppy Nasahi and Hisashi Kato-Noguchi
Plants 2021, 10(9), 1973; https://doi.org/10.3390/plants10091973 - 21 Sep 2021
Cited by 8 | Viewed by 3261
Abstract
Ludwigia decurrens Walter is a dicotyledonous plant belonging to the family Onagraceae. It is native to Central Eastern USA but has been spreading quickly and has naturalized in aquatic and riparian ecosystems (including rice paddy fields) in many countries; therefore, it is now [...] Read more.
Ludwigia decurrens Walter is a dicotyledonous plant belonging to the family Onagraceae. It is native to Central Eastern USA but has been spreading quickly and has naturalized in aquatic and riparian ecosystems (including rice paddy fields) in many countries; therefore, it is now considered an invasive noxious weed. L. decurrens is highly competitive with rice and causes a significant reduction in rice production. The objective of the present study was to evaluate the efficacy of the herbicide penoxsulam for the control of L. decurrens in rice fields. The seeds of L. decurrens were collected from four villages in Indonesia, and penoxsulam was applied to L. decurrens in seven dosages (0, 2.5, 5, 10, 20, 40, and 80 g a.i. ha−1) 3 weeks after seed sowing. The plant populations from Hegarmanah, Jatisari, and Joho showed complete mortality at the recommended dosage of penoxsulam (10 g a.i. ha−1). However, the plants from Demakan grew, flowered, and produced seeds 56 days after treatment with 40 g a.i. ha−1 of penoxsulam. The resistance index value of the population was 36.06. This is the first report of a penoxsulam-resistant weed from a dicotyledonous plant species and also the first report of a herbicide-resistant population of L. decurrens. The appearance of herbicide-resistant L. decurrens is a serious issue from both an environmental and an economic perspective, especially since protected forest and freshwater ecosystems are located at a short distance from the study area. Further research is needed to evaluate herbicide mixtures and/or the rotation of herbicide action sites. The identification of the penoxsulam-resistance mechanism in L. decurrens is also necessary to develop a herbicide resistance management strategy. Full article
(This article belongs to the Special Issue Invasive Alien Species in Protected Areas)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Effect of penoxsulam on four populations of <span class="html-italic">L. decurrens</span> 28 days after herbicide application.</p>
Full article ">Figure 2
<p>Effect of penoxsulam on the Demakan population of <span class="html-italic">L. decurrens</span> 56 days after herbicide application.</p>
Full article ">Figure 3
<p>Growth reduction curves of four populations of <span class="html-italic">L. decurrens</span> against penoxsulam dose.</p>
Full article ">
13 pages, 1258 KiB  
Article
Identification of Bacterial Wilt (Erwinia tracheiphila) Resistances in USDA Melon Collection
by Bimala Acharya, Lucas Mackasmiel, Ali Taheri, Christine A. Ondzighi-Assoume, Yiqun Weng and C. Korsi Dumenyo
Plants 2021, 10(9), 1972; https://doi.org/10.3390/plants10091972 - 21 Sep 2021
Cited by 3 | Viewed by 4249
Abstract
Bacterial wilt (BW) caused by the Gram-negative bacterium, Erwinia tracheiphila (Et.), is an important disease in melon (Cucumis melo L.). BW-resistant commercial melon varieties are not widely available. There are also no effective pathogen-based disease management strategies as BW-infected plants ultimately die. [...] Read more.
Bacterial wilt (BW) caused by the Gram-negative bacterium, Erwinia tracheiphila (Et.), is an important disease in melon (Cucumis melo L.). BW-resistant commercial melon varieties are not widely available. There are also no effective pathogen-based disease management strategies as BW-infected plants ultimately die. The purpose of this study is to identify BW-resistant melon accessions in the United States Department of Agriculture (USDA) collection. We tested 118 melon accessions in two inoculation trials under controlled environments. Four-week-old seedlings of test materials were mechanically inoculated with the fluorescently (GFP) labeled or unlabeled E. tracheiphila strain, Hca1-5N. We recorded the number of days to wilting of inoculated leaf (DWIL), days to wilting of whole plant (DWWP) and days to death of the plant (DDP). We identified four melon lines with high resistance to BW inoculation based on all three parameters. Fluorescent microscopy was used to visualize the host colonization dynamics of labeled bacteria from the point of inoculation into petioles, stem and roots in resistant and susceptible melon accessions, which provides an insight into possible mechanisms of BW resistance in melon. The resistant melon lines identified from this study could be valuable resistance sources for breeding of BW resistance as well as the study of cucurbit—E. tracheiphila interactions. Full article
(This article belongs to the Topic Mechanisms of Resistance to Plant Diseases)
Show Figures

Figure 1

Figure 1
<p>Development of symptoms of bacteria wilt in melon. Days to wilting of inoculated leaf (DWIL), symptom: Only the inoculated leaf wilts (<b>a</b>), days to wilting of whole plant (DWWP), symptom: the whole plant wilts (<b>b</b>), days to death of whole plant (DDP), symptom: whole plant wilts and dries (<b>c</b>).</p>
Full article ">Figure 2
<p>Localization of GFP bacteria in tissues of resistant melon line Ames 13299 at 21 days post inoculation. (<b>a</b>): Micrograph of a cross-section of primary root under fluorescence microscope showing GFP-labeled bacteria concentrated in the vascular system. (<b>b</b>–<b>e</b>): Overlay image of bright field and GFP fluorescence signal of (<b>b</b>): secondary root showing the concentration of bacteria in the cortical tissues, (<b>c</b>): inoculated leaf petiole, (<b>d</b>): petiole topmost leaf at 188 cm above the inoculated leaf and (<b>e</b>): stem at 15 cm below inoculated leaf. The presence of bacteria is indicated by the fluorescence. Scale bars = 100 µm.</p>
Full article ">Figure 3
<p>Localization of GFP-labeled bacteria in susceptible line PI 218071 9dpi. Cross-section micrographs of overlay of bright field and GFP fluorescence signal showing GFP-labeled bacteria concentrated in vascular system. (<b>a</b>): inoculated leaf petiole, (<b>b</b>): topmost leaf petiole at 12 cm above the inoculated leaf, (<b>c</b>): stem at 5 cm above the inoculated leaf and (<b>d</b>): stem 8 cm below the inoculated leaf. The presence of bacteria is indicated by the fluorescence. Scale bars = 100 µm.</p>
Full article ">
10 pages, 638 KiB  
Article
The Cultivation of Chelidonium majus L. Increased the Total Alkaloid Content and Cytotoxic Activity Compared with Those of Wild-Grown Plants
by Valerija Krizhanovska, Inga Sile, Arta Kronberga, Ilva Nakurte, Ieva Mezaka, Maija Dambrova, Osvalds Pugovics and Solveiga Grinberga
Plants 2021, 10(9), 1971; https://doi.org/10.3390/plants10091971 - 21 Sep 2021
Cited by 11 | Viewed by 3877
Abstract
The effect of cultivation practises on both the phytochemical profile and biological activity of aqueous ethanol extracts of Chelidonium majus L. was studied. Extracts were prepared from aerial parts of the same plant population collected in the wild and grown under organic farming [...] Read more.
The effect of cultivation practises on both the phytochemical profile and biological activity of aqueous ethanol extracts of Chelidonium majus L. was studied. Extracts were prepared from aerial parts of the same plant population collected in the wild and grown under organic farming conditions. Both qualitative and quantitative analyses of alkaloids and flavonoid derivatives were performed by LC/MS methods, and the cytotoxicity of lyophilised extracts was studied in B16-F10, HepG2, and CaCo-2 cells. Coptisine was the dominant alkaloid of extracts prepared from wild-grown plants, whereas after cultivation, chelidonine was the most abundant alkaloid. The total alkaloid content was significantly increased by cultivation. Ten flavonol glycoconjugates were identified in C. majus extracts, and quantitative analysis did not reveal significant differences between extracts prepared from wild-grown and cultivated specimens. Treatment with C. majus extracts resulted in a dose-dependent increase in cytotoxicity in all three cell lines. The extracts prepared from cultivated specimens showed higher cytotoxicity than the extracts prepared from wild-grown plants. The strongest cytotoxic effect of cultivated C. majus was observed in B16-F10 cells (IC50 = 174.98 ± 1.12 µg/mL). Cultivation-induced differences in the phytochemical composition of C. majus extracts resulted in significant increases in the cytotoxic activities of the preparations. Full article
(This article belongs to the Special Issue Trends in Plants Phytochemistry and Bioactivity Analysis)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Differences in cytotoxic activities between cultivated and wild-grown <span class="html-italic">C. majus</span> on B16-F10, HepG2, and CaCo-2 cell lines measured by MTT assay. Values are the mean ± SD (n = 5). Differences between the measurements were tested using the Mann-Whitney U-test. * Significantly different from wild-grown <span class="html-italic">C. majus</span> (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
12 pages, 1792 KiB  
Article
Non-Target Site Mechanisms Endow Resistance to Glyphosate in Saltmarsh Aster (Aster squamatus)
by José Alfredo Domínguez-Valenzuela, Ricardo Alcántara-de la Cruz, Candelario Palma-Bautista, José Guadalupe Vázquez-García, Hugo E. Cruz-Hipolito and Rafael De Prado
Plants 2021, 10(9), 1970; https://doi.org/10.3390/plants10091970 - 21 Sep 2021
Cited by 7 | Viewed by 3300
Abstract
Of the six-glyphosate resistant weed species reported in Mexico, five were found in citrus groves. Here, the glyphosate susceptibility level and resistance mechanisms were evaluated in saltmarsh aster (Aster squamatus), a weed that also occurs in Mexican citrus groves. The R [...] Read more.
Of the six-glyphosate resistant weed species reported in Mexico, five were found in citrus groves. Here, the glyphosate susceptibility level and resistance mechanisms were evaluated in saltmarsh aster (Aster squamatus), a weed that also occurs in Mexican citrus groves. The R population accumulated 4.5-fold less shikimic acid than S population. S plants hardly survived at 125 g ae ha−1 while most of the R plants that were treated with 1000 g ae ha−1, which suffered a strong growth arrest, showed a vigorous regrowth from the third week after treatment. Further, 5-enolpyruvylshikimate-3-phosphate basal and enzymatic activities did not diverge between populations, suggesting the absence of target-site resistance mechanisms. At 96 h after treatment, R plants absorbed ~18% less glyphosate and maintained 63% of the 14C-glyphsoate absorbed in the treated leaf in comparison to S plants. R plants metabolized twice as much (72%) glyphosate to amino methyl phosphonic acid and glyoxylate as the S plants. Three non-target mechanisms, reduced absorption and translocation and increased metabolism, confer glyphosate resistance saltmarsh aster. This is the first case of glyphosate resistance recorded for A. squamatus in the world. Full article
(This article belongs to the Special Issue Herbicide Mechanisms of Action and Resistance)
Show Figures

Figure 1

Figure 1
<p>Glyphosate dose-response curves of the dry weight reduction (<b>A</b>) and plant survival (<b>B</b>) in susceptible (S) and resistant (R) saltmarsh aster (<span class="html-italic">A. squamatus</span>) populations treated with different glyphosate doses (g ae ha<sup>−1</sup>). Vertical bars are the SEM (<span class="html-italic">n</span> = 10 for weight reduction and <span class="html-italic">n</span> = 2 for plant survival). (<b>C</b>) R and S plants at 4 weeks after treatment (WAT) of glyphosate. (<b>D</b>) Regrowth of S and R plants treated with 125 and 1000 g ae ha<sup>−1</sup> glyphosate, respectively, at different WATs.</p>
Full article ">Figure 2
<p>Accumulation of shikimic acid accumulation induced by glyphosate in susceptible (S) and resistant (R) saltmarsh aster populations (<span class="html-italic">A. squamatus</span>) found in Persian lime groves from Veracruz, Mexico. Vertical bars represent the standard error of the mean (<span class="html-italic">n</span> = 6). Different letter denotes differences between populations within a glyphosate by the Tukey test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Enzyme activity of the 5-enolpyruvilshikimate-3-phosphate synthase (EPSPS) in glyphosate-susceptible (S) and -resistant (R) saltmarsh aster (<span class="html-italic">A. squamatus</span>) populations.</p>
Full article ">Figure 4
<p>Absorption and translocation of <sup>14</sup>C-glyphosate in susceptible (S) and resistant (R) saltmarsh aster (<span class="html-italic">A. squamatus</span>) populations from 12 to 96 h after treatment (HAT). (<b>A</b>) <sup>14</sup>C-glyphosate absorption (% from the total applied). (<b>B</b>) Digital (on the left) and autoradiograph (right) images illustrating the <sup>14</sup>C-glyphosate distribution within plants at 96 HAT. Red regions show higher signal (concentration) of <sup>14</sup>C. (<b>C</b>) <sup>14</sup>C-glyphosate translocation (% of the recovered) from the treated leaf to the rest of the plant, and roots. Vertical bars represent the standard error of the mean (<span class="html-italic">n</span> = 5). ns, no significant and different letter denotes differences between populations within an evaluation time by the Tukey test (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
13 pages, 1697 KiB  
Article
Alleviation of Lead Stress on Sage Plant by 5-Aminolevulinic Acid (ALA)
by Hamed M. El-Shora, Gehan F. Massoud, Ghada A. El-Sherbeny, Salma Saleh Alrdahe and Doaa B. Darwish
Plants 2021, 10(9), 1969; https://doi.org/10.3390/plants10091969 - 21 Sep 2021
Cited by 11 | Viewed by 2908
Abstract
Oxidative stress is imparted by a varying range of environmental factors involving heavy metal stress. Thus, the mechanisms of antioxidant resistance may advance a policy to improve metal tolerance. Lead as a toxic heavy metal negatively affects the metabolic activities and growth of [...] Read more.
Oxidative stress is imparted by a varying range of environmental factors involving heavy metal stress. Thus, the mechanisms of antioxidant resistance may advance a policy to improve metal tolerance. Lead as a toxic heavy metal negatively affects the metabolic activities and growth of medicinal and aromatic plants. This investigation aimed to assess the function of 5-aminolevulinic acid (ALA) in the alleviation of Pb stress in sage plants (Salvia officinalis L.) grown either hydroponically or in pots. Various concentrations of Pb (0, 100, 200, and 400 µM) and different concentrations of ALA (0, 10, and 20 mg L−1) were tested. This investigation showed that Pb altered the physiological parameters. Pb stress differentially reduced germination percentage and protein content compared to control plants. However, lead stress promoted malondialdehyde (MDA) and H2O2 contents in the treated plants. Also, lead stress enhanced the anti-oxidative enzyme activities; ascorbate peroxidase superoxide, dismutase, glutathione peroxidase, and glutathione reductase in Salvia plants. ALA application enhanced the germination percentage and protein content compared to their corresponding controls. Whereas, under ALA application MDA and H2O2 contents, as well as the activities of SOD, APX, GPX, and GR, were lowered. These findings suggest that ALA at the 20 mgL−1 level protects the Salvia plant from Pb stress. Therefore, the results recommend ALA application to alleviate Pb stress. Full article
(This article belongs to the Special Issue Abiotic Stress Tolerance in Crop and Medical Plants Volume II)
Show Figures

Figure 1

Figure 1
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on seed germination of <span class="html-italic">Salvia officinalis</span> and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiments (<b>B</b>).</p>
Full article ">Figure 2
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on total soluble protein content in leaves of <span class="html-italic">Salvia officinalis</span> and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 3
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on MDA content in leaves of <span class="html-italic">Salvia officinalis</span> and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 4
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on H<sub>2</sub>O<sub>2</sub> content in leaves of <span class="html-italic">Salvia officinalis</span> and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 5
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on APX activity of <span class="html-italic">Salvia officinalis</span> leaves and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 6
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on GPX activity of <span class="html-italic">Salvia officinalis</span> leaves and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 7
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on SOD activity of <span class="html-italic">Salvia officinalis</span> leaves and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiment (<b>B</b>).</p>
Full article ">Figure 8
<p>Effect of various concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> on GR activity of <span class="html-italic">Salvia officinalis</span> leaves and stress alleviation by ALA in hydroponic (<b>A</b>) and pot experiments (<b>B</b>).</p>
Full article ">
11 pages, 1840 KiB  
Article
Bordered Pit Formation in Cell Walls of Spruce Tracheids
by Dmitry G. Chukhchin, Ksenia Vashukova and Evgeniy Novozhilov
Plants 2021, 10(9), 1968; https://doi.org/10.3390/plants10091968 - 21 Sep 2021
Cited by 7 | Viewed by 3369
Abstract
The process of pit formation in plants still has various questions unaddressed and unknown, which opens up many interesting and new research opportunities. The aim of this work was elucidation of the mechanism for the formation of bordered pits of the spruce ( [...] Read more.
The process of pit formation in plants still has various questions unaddressed and unknown, which opens up many interesting and new research opportunities. The aim of this work was elucidation of the mechanism for the formation of bordered pits of the spruce (Picea abies (L.) Karst.) tracheid with exosomes participation and mechanical deformation of the cell wall. Sample sections were prepared from spruce stem samples after cryomechanical destruction with liquid nitrogen. The study methods included scanning electron microscopy and enzymatic treatment. Enzymatic treatment of the elements of the bordered pit made it possible to clarify the localization of cellulose and pectin. SEM images of intermediate stages of bordered pit formation in the radial and tangential directions were obtained. An asynchronous mechanism of formation of bordered-pit pairs in tracheids is proposed. The formation of the pit pair begins from the side of the initiator cell and is associated with enzymatic hydrolysis of the secondary cell wall and subsequent mechanical deformation of the primary cell walls. Enzymatic hydrolysis of the S1 layer of the secondary cell wall is carried out by exosome-delivered endoglucanases. Full article
Show Figures

Figure 1

Figure 1
<p>Enzymatic treatment of spruce bordered pit elements: (<b>a</b>) Untreated sample. The torus fits snugly against the border. Margo microfibrils emerge from the torus and reach the pit periphery. (<b>b</b>) Endoglucanase treatment. The margo microfibrils are absent at the pit periphery but are preserved near the torus. The torus is also intact and is held by adhesion to the border. Arrows indicate the ends of microfibrils. (<b>c</b>) Pectinase treatment. The torus is hydrolysed, and only the matrix microfibrils are visible, which are a natural continuation of the margo microfibrils. (<b>d</b>) Xylanase treatment. The torus, margo, and border are visibly unchanged. CM cellulose microfbrils, S<sub>1</sub> S<sub>1</sub> layer, M margo, T torus. Bars 5 µm (<b>a</b>), 1 µm (<b>b</b>–<b>d</b>).</p>
Full article ">Figure 2
<p>The beginning of the bordered pit formation: on the left (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>)—following pit tracheid (FPT) and on the right (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>)—starting pit tracheid (SPT): (<b>a</b>) Cell walls of adjacent tracheids (SPT and FPT) before pit formation. Only the P layer is present. (<b>b</b>) SPT cell wall prior to pit formation. The inner surface is already covered with an S<sub>1</sub> layer. (<b>c</b>) FPT cell wall. Round darkening is observed under the surface of the FPT P layer, which indicates the destruction of the material on the opposite side (destruction of the S<sub>1</sub> layer of the SPT). (<b>d</b>) Exosomes visible on the surface of the S<sub>1</sub> layer of the SPT. (<b>e</b>) FPT P layer after deformation caused by pressure difference in adjacent SPT and FPT tracheids. Areas with stretched microfibrils are visible in the area of the margo and torus. (<b>f</b>) Destruction of the SPT S<sub>1</sub> layer at the site of exosome localization. The S<sub>1</sub> layer is partially destroyed. The P layer is visible under it. (<b>g</b>) An S<sub>1</sub> layer begins to form on the FPT surface. The formed torus and margo of the bordered pit are observed. The rim is bordered by the rims of adjacent pits. (<b>h</b>) The pit border partially formed by the S<sub>2</sub> layer on the SPT surface. Further border formation during the S<sub>2</sub> and S<sub>3</sub> layer deposition makes the SPT and FPT pits appear the same. <span class="html-italic">CM</span>—cellulose microfbrils, <span class="html-italic">EX—</span> exosomes, <span class="html-italic">S</span><sub>1</sub>—S<sub>1</sub> layer, <span class="html-italic">P</span>—P layer, <span class="html-italic">M</span>—margo, <span class="html-italic">T</span>—torus, <span class="html-italic">R</span>—rim, <span class="html-italic">FPT</span>—following pit tracheid. Bars 1 µm (<b>a</b>,<b>d</b>,<b>e</b>–<b>g</b>), 2 µm (<b>b</b>,<b>c</b>,<b>h</b>).</p>
Full article ">Figure 3
<p>Scheme of bordered pit formation in the tracheid cell wall: (<b>a</b>) On the left (FPT) there is a tracheid with a primary wall, on the right (SPT)—a tracheid with a formed S<sub>1</sub> layer of the secondary wall and exosomes localized on its surface. (<b>b</b>) Enzymatic destruction of the S<sub>1</sub> layer under SPT endogluconase action occurs at the site of exosome localization. (<b>c</b>) The deformation of the P layers and torus occurs under the influence of greater pressure in the FPT. The formation of the S<sub>1</sub> layer is observed as a rim around the pit. (<b>d</b>) The developing S<sub>1</sub> layer in the FPT and S<sub>2</sub> layer in the SPT. (<b>e</b>) Border deposition from the S<sub>2</sub> layer in the SPT and FPT tracheids. (<b>f</b>) Final pit formation. <span class="html-italic">CM</span>—cellulose microfibrils, <span class="html-italic">S</span><sub>1</sub>—S<sub>1</sub> layer, <span class="html-italic">S</span><sub>2</sub>—S<sub>2</sub> layer, <span class="html-italic">P</span>—P layer, <span class="html-italic">M</span>—margo, <span class="html-italic">MVs—</span>multivesicular bodies, <span class="html-italic">SPT—</span>starting pit tracheid, <span class="html-italic">FPT</span>—following pit tracheid.</p>
Full article ">
10 pages, 13271 KiB  
Article
The Role of Periodic Structures in Light Harvesting
by Eugene Bukhanov, Alexandr V. Shabanov, Mikhail N. Volochaev and Svetlana A. Pyatina
Plants 2021, 10(9), 1967; https://doi.org/10.3390/plants10091967 - 20 Sep 2021
Cited by 7 | Viewed by 2761
Abstract
The features of light propagation in plant leaves depend on the long-period ordering in chloroplasts and the spectral characteristics of pigments. This work demonstrates a method of determining the hidden ordered structure. Transmission spectra have been determined using transfer matrix method. A band [...] Read more.
The features of light propagation in plant leaves depend on the long-period ordering in chloroplasts and the spectral characteristics of pigments. This work demonstrates a method of determining the hidden ordered structure. Transmission spectra have been determined using transfer matrix method. A band gap was found in the visible spectral range. The effective refractive index and dispersion in the absorption spectrum area of chlorophyll were taken into account to show that the density of photon states increases, while the spectrum shifts towards the wavelength range of effective photosynthesis. Full article
Show Figures

Figure 1

Figure 1
<p>Transmission electron microscopy images of chloroplast in wheat samples: (<b>a</b>) 500 nm scale. (<b>b</b>) 200 nm scale.</p>
Full article ">Figure 2
<p>Simulation of a photonic-crystal layered structure with plane electromagnetic waves propagating along the <span class="html-italic">z</span>-axis. The black rectangle on the left corresponds to the right part of the image. Average granum thickness <math display="inline"><semantics> <msub> <mi>Z</mi> <mn>1</mn> </msub> </semantics></math> = 120 nm. Average stromal distance between the grana <math display="inline"><semantics> <msub> <mi>Z</mi> <mn>2</mn> </msub> </semantics></math> = 70 nm. Refractive indices: <math display="inline"><semantics> <msub> <mi>n</mi> <mn>1</mn> </msub> </semantics></math> = 1.48 for granum; <math display="inline"><semantics> <msub> <mi>n</mi> <mn>0</mn> </msub> </semantics></math> = <math display="inline"><semantics> <msub> <mi>n</mi> <mn>2</mn> </msub> </semantics></math> = 1.33 for stroma. (<b>a</b>) Visual model representing the photonic crystal used in our calculations. (<b>b</b>) Part of the image taken from <a href="#plants-10-01967-f001" class="html-fig">Figure 1</a>b. (<b>c</b>) Distribution of electromagnetic wave amplitudes along a photonic crystal.</p>
Full article ">Figure 3
<p>Design graphs for the periodic structure obtained with the help of the Cantor method. (<b>a</b>) Transmission spectrum excluding dispersion. (<b>b</b>) Graph of the density of photon states excluding dispersion. (<b>c</b>) Transmission spectrum including dispersion. (<b>d</b>) Graph of the density of photon states including dispersion.</p>
Full article ">Figure 4
<p>Graphs for the periodic structure obtained using the Cantor method. Period increased by 10%. (<b>a</b>) Transmission spectrum excluding dispersion. (<b>b</b>) Graph of the density of photon states excluding dispersion. (<b>c</b>) Transmission spectrum including dispersion. (<b>d</b>) Graph of the density of photon states including dispersion.</p>
Full article ">Figure 5
<p>Amplitude of the electric component of electromagnetic field in a periodic structure obtained using the Cantor method and a period increased by 10% at <math display="inline"><semantics> <mi>λ</mi> </semantics></math> = 680 nm.</p>
Full article ">
36 pages, 5626 KiB  
Article
Inventory of Medicinal Plants Used Traditionally to Manage Kidney Diseases in North-Eastern Morocco: Ethnobotanical Fieldwork and Pharmacological Evidence
by Noureddine Bencheikh, Amine Elbouzidi, Loubna Kharchoufa, Hayat Ouassou, Ilyass Alami Merrouni, Hamza Mechchate, Imane Es-safi, Christophe Hano, Mohamed Addi, Mohamed Bouhrim, Bruno Eto and Mostafa Elachouri
Plants 2021, 10(9), 1966; https://doi.org/10.3390/plants10091966 - 20 Sep 2021
Cited by 65 | Viewed by 8645
Abstract
Kidney disease is one of the most common health problems and kidney failure can be fatal. It is one of the health disorders associated with extreme pain and discomfort in patients. In developing countries, such as Morocco where socioeconomic and sanitary conditions are [...] Read more.
Kidney disease is one of the most common health problems and kidney failure can be fatal. It is one of the health disorders associated with extreme pain and discomfort in patients. In developing countries, such as Morocco where socioeconomic and sanitary conditions are precarious, medicinal plants are considered the primary source of medication. In the present work an ethnobotanical survey was conducted in a remote area of North-Eastern Morocco and we focused on (1) establishing a record of medicinal plants used traditionally by local people to treat kidney diseases and (2) correlate the obtained ethnomedical use with well-studied pharmacological evidence. From February 2018 to January2020, information was gathered from 488 informants using semi-structured questionnaires. The data were analyzed using three quantitative indices: The use value (UV), family use value (FUV), and informant consensus factor (ICF). A total of 121 plant species belonging to 57 botanical families were identified to treat kidney diseases. The families most represented were Asteraceae (14 species), followed by Lamiaceae (12 species) and Apiaceae (10 species). The most commonly used plant parts were leaves, followed by the whole plant and they were most commonly prepared by decoction and infusion. The highest value of the (UV) index was attributed to Herniaria hirsuta L. (UV = 0.16), and the highest family use value (FUV) was assigned to Caryophyllaceae with (FUV = 0.163). Regarding the informant consensus factor (ICF), this index’s highest values were recorded for kidney stones (ICF = 0.72). The use of 45% of the selected plants were validated based on literature review. This study helped document and preserve crucial traditional plant knowledge of 121 plant species used to treat kidney problems that can be used in the search for new biologically active compounds through more upcoming pharmacological studies. Full article
(This article belongs to the Special Issue Updates on African Traditional Medicinal Plants Research)
Show Figures

Figure 1

Figure 1
<p>Dominant botanical families.</p>
Full article ">Figure 2
<p>Plant species commonly used traditionally by local people to treatkidney disease.</p>
Full article ">Figure 3
<p>Percentage of the different parts used.</p>
Full article ">Figure 4
<p>Percentage of different mode of preparation.</p>
Full article ">Figure 5
<p>Distribution of plants used traditionally to treat various kidney syndromes.</p>
Full article ">Figure 6
<p>Informant consensus factor (ICF).</p>
Full article ">Figure 7
<p>(<b>a</b>) Bioactive compounds found in <span class="html-italic">Herniaria hirsuta L.</span> extracts; (<b>b</b>) Bioactive compounds found in <span class="html-italic">Herniaria hirsuta</span> L. extracts.</p>
Full article ">Figure 7 Cont.
<p>(<b>a</b>) Bioactive compounds found in <span class="html-italic">Herniaria hirsuta L.</span> extracts; (<b>b</b>) Bioactive compounds found in <span class="html-italic">Herniaria hirsuta</span> L. extracts.</p>
Full article ">Figure 8
<p>Bioactive compounds from <span class="html-italic">Apium g.</span> extracts.</p>
Full article ">Figure 9
<p>Bioactive compounds from <span class="html-italic">Petroselinum crispum (Mill.) Fuss</span> extracts.</p>
Full article ">Figure 10
<p>Geographical location of the study area.</p>
Full article ">
17 pages, 3872 KiB  
Article
Above- and Below-Ground Carbon Storage of Hydrologically Altered Mangrove Wetlands in Puerto Rico after a Hurricane
by Lauren N. Griffiths, Elix Hernandez, Elvira Cuevas and William J. Mitsch
Plants 2021, 10(9), 1965; https://doi.org/10.3390/plants10091965 - 20 Sep 2021
Viewed by 3097
Abstract
Mangrove wetlands are important ecosystems, yet human development coupled with climate change threatens mangroves and their large carbon stores. This study seeks to understand the soil carbon dynamics in hydrologically altered mangrove swamps by studying aboveground biomass estimates and belowground soil carbon concentrations [...] Read more.
Mangrove wetlands are important ecosystems, yet human development coupled with climate change threatens mangroves and their large carbon stores. This study seeks to understand the soil carbon dynamics in hydrologically altered mangrove swamps by studying aboveground biomass estimates and belowground soil carbon concentrations in mangrove swamps with high, medium, and low levels of disturbance in Cataño, Jobos Bay, and Vieques, Puerto Rico. All three sites were affected by hurricane María in 2017, one year prior to the study. As a result of being hit by the Saffir-Simpson category 4 hurricane, the low-disturbance site had almost no living mangroves left during sampling. There was no correlation between level of hydrologic alteration and carbon storage, rather different patterns emerged for each of the three sites. At the highly disturbed location, belowground carbon mass averaged 0.048 ± 0.001 g-C cm−3 which increased with increased aboveground biomass. At the moderately disturbed location, belowground carbon mass averaged 0.047 ± 0.003 g-C cm−3 and corresponded to distance from open water. At the low-disturbed location, organic carbon was consistent between all sites and inorganic carbon concentrations controlled total carbon mass which averaged 0.048 ± 0.002 g-C cm−3. These results suggest that mangroves are adaptive and resilient and have the potential to retain their carbon storage capacities despite hydrologic alterations, but mass carbon storage within mangrove forests can be spatially variable in hydrologically altered conditions. Full article
(This article belongs to the Special Issue Wetland Ecology: Plant Adaptations to Changing Wetland Environments)
Show Figures

Figure 1

Figure 1
<p>Average bulk density of soil at each 1 cm of depth at (<b>a</b>) Cucharillas, (<b>b</b>) Jobos Bay, and (<b>c</b>) Vieques.</p>
Full article ">Figure 2
<p>Soil organic carbon concentration at each 1 cm soil depth at each site in (<b>a</b>) Cucharillas, (<b>b</b>) Jobos Bay, and (<b>c</b>) Vieques.</p>
Full article ">Figure 3
<p>Average percent total organic carbon (TOC, shaded), inorganic carbon (IC, dotted), and total carbon (TC, striped) in the top 30 cm of soil at each location–Cucharillas, Jobos Bay, and Vieques. Error bars represent ± standard error. Similarity letters represent the results of Tukey HSD test.</p>
Full article ">Figure 4
<p>Average percent total organic carbon (TOC, shaded), inorganic carbon (IC, dotted), and total carbon (TC, striped) in the top 30 cm of soil at each site of each location–(<b>a</b>) Cucharillas, (<b>b</b>) Jobos Bay, and (<b>c</b>) Vieques. Error bars represent ± standard error.</p>
Full article ">Figure 5
<p>Average mass of total organic carbon (TOC, shaded), inorganic carbon (IC, dotted), and total carbon (TC, striped) per cm<sup>3</sup> in the top 30 cm of soil within the sampled soil core (<b>a</b>) at each location and each site within each location–(<b>b</b>) Cucharillas, (<b>c</b>) Jobos Bay, and (<b>d</b>) Vieques. Error bars represent ± standard error.</p>
Full article ">Figure 6
<p>Total carbon stock in aboveground biomass (green) and belowground soil and biomass in the top 30 cm (brown) at the three study sites.</p>
Full article ">Figure 7
<p>Sample sites at (<b>a</b>) Cucharillas, Cataño, (<b>b</b>) Puerto Mosquito, Vieques, and (<b>c</b>) Jobos Bay National Estuarine Research Reserve. Each sample site at each location is numbered with the lowest number closest to open, saltwater water and the largest number farthest from the marine source.</p>
Full article ">
10 pages, 975 KiB  
Article
Evaluation of Trichoderma spp. Isolates in Cocoa Seed Treatment and Seedling Production
by Willian Nogueira de Sousa, Nayane Fonseca Brito, Cristina Aledi Felsemburgh, Thiago Almeida Vieira and Denise Castro Lustosa
Plants 2021, 10(9), 1964; https://doi.org/10.3390/plants10091964 - 20 Sep 2021
Cited by 7 | Viewed by 3321
Abstract
Isolates of Trichoderma spp., a soil fungus, has been used to control diseases and promote plant growth, reducing the use of chemicals in the production of seedlings of different plant species. We evaluated the effect of some Trichoderma spp. isolates on seed treatment [...] Read more.
Isolates of Trichoderma spp., a soil fungus, has been used to control diseases and promote plant growth, reducing the use of chemicals in the production of seedlings of different plant species. We evaluated the effect of some Trichoderma spp. isolates on seed treatment and seedling production of Theobromacacao. Five isolates from the Amazon region were tested. In laboratory, the following variables were evaluated for seed treatments: germination, germination speed index, radicle and hypocotyl lengths, and fungi incidence. In nursery, the following forms of application were tested: via seeds; in the substrate at pre-planting; monthly in post-planting substrate, and also their combination. The following was evaluated: height, diameter, number of leaves, root length, leaf area, and shoot dry mass and root system. Inoculation with Trichoderma increased the length of the radicle and hypocotyl and showed no fungi in the seeds. In seedlings, some treatments increased height and plant root dry mass. The use of Trichoderma was beneficial for seeds and appeared favorable for T. cacao production. Full article
(This article belongs to the Special Issue Biological Seed Treatments for Ecosustainable Agriculture)
Show Figures

Figure 1

Figure 1
<p>Radicle and hypocotyl lengths of cocoa seedlings resulting from seeds treated or not with different <span class="html-italic">Trichoderma</span> spp. isolates.</p>
Full article ">Figure 2
<p>Cocoa seedlings with and without application of <span class="html-italic">Trichoderma asperellum</span>, six months after planting.</p>
Full article ">
11 pages, 1940 KiB  
Article
Impact of Foliar Fertilization on Growth, Flowering, and Corms Production of Five Gladiolus Varieties
by Endre Kentelky and Zsolt Szekely-Varga
Plants 2021, 10(9), 1963; https://doi.org/10.3390/plants10091963 - 20 Sep 2021
Cited by 16 | Viewed by 4428
Abstract
Degraded and salt affected soils are appearing more often in cultivated areas. These specific problems could reduce nutrient uptake, which can result in quality and yield loss of the cultivated plants. In order to cope with this pedo-climatic condition growers are applying fertilizers; [...] Read more.
Degraded and salt affected soils are appearing more often in cultivated areas. These specific problems could reduce nutrient uptake, which can result in quality and yield loss of the cultivated plants. In order to cope with this pedo-climatic condition growers are applying fertilizers; however, due to inadequate application, soil degradation will continue. Five Gladiolus varieties were subjected to foliar fertilization treatments to assess the effect on the plant’s growth parameters, vase durability and daughter corm production. Our results indicate that plants treated with foliar fertilization show significant increase in the measured parameters, flower stem length, vase durability and daughter corm production. In conclusion, our study suggests that application of foliar fertilization can increase Gladiolus plants decoration and propagation, even with a smaller footprint on nature. Full article
Show Figures

Figure 1

Figure 1
<p>Effect of foliar fertilization on the shoot growth parameters in <span class="html-italic">Gladiolus</span> varieties: ‘Green Star’ (<b>a</b>), ‘Black Beauty’ (<b>b</b>), ‘Nova Lux’ (<b>c</b>), ‘Zizane’ (<b>d</b>), and ‘Frizzled Coral Lace’ (<b>e</b>). Plants shoot growth under control conditions, in the presence of the indicated foliar fertilization: Fitofolis, Bionat Plus, Cropmax and the mixture of Fitofolis–Bionat Plus–Cropmax (F + B + C). Shoot growth was measured in all plants just before starting the treatments (13 May), and before the harvesting of the inflorescences (9 August). Bars represent the means ± SE (<span class="html-italic">n</span> = 10). Different letters above the bars indicate significant differences between the treatments, according to Tukey test (α = 0.05).</p>
Full article ">Figure 2
<p>Effect of foliar fertilization on flower stem growth parameters in <span class="html-italic">Gladiolus</span> varieties: ‘Green Star’ (<b>a</b>), ‘Black Beauty’ (<b>b</b>), ‘Nova Lux’ (<b>c</b>), ‘Zizane’ (<b>d</b>), and ‘Frizzled Coral Lace’ (<b>e</b>). Plant flower stem growth shown under control conditions and in the presence of the indicated foliar fertilization: Fitofolis, Bionat Plus, Cropmax and the mixture of Fitofolis–Bionat Plus–Cropmax (F + B + C). Flower stem growth was measured in all plants just before starting the treatments (13 May), and before the harvesting of the inflorescences (9 August). Bars represent the means ± SE (<span class="html-italic">n</span> = 10). Different letters above the bars indicate significant differences between the treatments, according to Tukey test (α = 0.05).</p>
Full article ">Figure 3
<p>Effect of foliar fertilization on vase durability of <span class="html-italic">Gladiolus</span> varieties: ‘Green Star’, ‘Black Beauty’, ‘Nova Lux’, ‘Zizane’, and ‘Frizzled Coral Lace’. Vase durability of floral stems produced under control conditions and in the presence of the indicated foliar fertilization: Fitofolis, Bionat Plus, Cropmax and the mixture of Fitofolis–Bionat Plus–Cropmax (F + B + C). Bars represent the means ± SE (<span class="html-italic">n</span> = 5). Different lowercase letters above the bars indicate significant differences between the five varieties for each foliar fertilization, and different uppercase letters indicate significant differences between treatments, according to Tukey test (α = 0.05).</p>
Full article ">Figure 4
<p>Effect of foliar fertilization on increment in daughter corms in <span class="html-italic">Gladiolus</span> varieties: ‘Green Star’ (<b>a</b>), ‘Black Beauty’ (<b>b</b>), ‘Nova Lux’ (<b>c</b>), ‘Zizane’ (<b>d</b>), and ‘Frizzled Coral Lace’ (<b>e</b>). Increase in daughter corms under control conditions and in the presence of the indicated foliar fertilization: Fitofolis, Bionat Plus, Cropmax and the mixture of Fitofolis–Bionat Plus–Cropmax (F + B + C). Bars represent the means ± SE (<span class="html-italic">n</span> = 10). Different letters above the bars indicate significant differences between the treatments, according to Tukey test (α = 0.05).</p>
Full article ">Figure 5
<p>Meteorological conditions, precipitation and temperature during the field experiment (April–September 2018).</p>
Full article ">
14 pages, 3760 KiB  
Article
Supraoptimal Brassinosteroid Levels Inhibit Root Growth by Reducing Root Meristem and Cell Elongation in Rice
by Kewalee Jantapo, Watcharapong Wimonchaijit, Wenfei Wang and Juthamas Chaiwanon
Plants 2021, 10(9), 1962; https://doi.org/10.3390/plants10091962 - 20 Sep 2021
Cited by 7 | Viewed by 2998
Abstract
Root growth depends on cell proliferation and cell elongation at the root meristem, which are controlled by plant hormones and nutrient availability. As a foraging strategy, rice (Oryza sativa L.) grows longer roots when nitrogen (N) is scarce. However, how the plant [...] Read more.
Root growth depends on cell proliferation and cell elongation at the root meristem, which are controlled by plant hormones and nutrient availability. As a foraging strategy, rice (Oryza sativa L.) grows longer roots when nitrogen (N) is scarce. However, how the plant steroid hormone brassinosteroid (BR) regulates rice root meristem development and responses to N deficiency remains unclear. Here, we show that BR has a negative effect on meristem size and a dose-dependent effect on cell elongation in roots of rice seedlings treated with exogenous BR (24-epicastasterone, ECS) and the BR biosynthesis inhibitor propiconazole (PPZ). A genome-wide transcriptome analysis identified 4110 and 3076 differentially expressed genes in response to ECS and PPZ treatments, respectively. The gene ontology (GO) analysis shows that terms related to cell proliferation and cell elongation were enriched among the ECS-repressed genes. Furthermore, microscopic analysis of ECS- and PPZ-treated roots grown under N-sufficient and N-deficient conditions demonstrates that exogenous BR or PPZ application could not enhance N deficiency-mediated root elongation promotion as the treatments could not promote root meristem size and cell elongation simultaneously. Our study demonstrates that optimal levels of BR in the rice root meristem are crucial for optimal root growth and the foraging response to N deficiency. Full article
(This article belongs to the Section Plant Development and Morphogenesis)
Show Figures

Figure 1

Figure 1
<p>Effect of ECS and PPZ treatments on rice root growth. Root phenotypes of rice seedlings grown for 5 d under different concentrations of ECS or PPZ or combination of ECS and PPZ (4 μM). (<b>a</b>) Representative images of roots grown under different treatments. Scale bar = 2 cm. (<b>b</b>,<b>c</b>) Quantification of primary root length. Data are means ± SD (<span class="html-italic">n</span> = 10 biological replicates). Significant differences between the treatment and the mock control are indicated by ** for <span class="html-italic">p</span> &lt; 0.001. Significant differences between PPZ and no PPZ (with the same ECS concentration) are indicated by <sup>+</sup> and <sup>++</sup> for <span class="html-italic">p</span> &lt; 0.05 and 0.001, respectively.</p>
Full article ">Figure 2
<p>Effect of ECS and PPZ treatments on rice root meristem and cell elongation in primary root tips. Seedlings were grown in the absence and presence of PPZ for 5 d, and then treated with ECS for 24 h. (<b>a</b>) Confocal microscopy images of rice root meristems treated with mock, PPZ (4 μM) or ECS (10 nM). Scale bar = 100 μm. Arrowheads mark the end of the meristem zone; the PPZ-treated root had large meristem that the end of the meristem zone was not present in the image. (<b>b</b>–<b>d</b>) Quantifications of root meristem size (<b>b</b>), meristem cell number (<b>c</b>) and average meristem cell length (<b>d</b>) were determined from cortical cells in the 4th cortical layer by measuring from the QC to the first elongated cell. Mature cell length (<b>e</b>) was determined from the average length of five adjacent mature cortical cells. Data are means ± SD (<span class="html-italic">n</span> ≥ 6 biological replicates). Significant differences between the treatment and the mock control are indicated by * and ** for <span class="html-italic">p</span> &lt; 0.05 and 0.001, respectively. Significant differences between PPZ and no PPZ (with the same ECS concentration) are indicated by <sup>+</sup> and <sup>++</sup> for <span class="html-italic">p</span> &lt; 0.05 and 0.001, respectively.</p>
Full article ">Figure 3
<p>Transcriptomic analysis of differentially expressed genes in ECS- and PPZ-treated rice roots. (<b>a</b>) Venn diagram showing the overlap between the lists of significant ECS-induced, ECS-repressed, PPZ-induced and PPZ-repressed genes (|fold change| &gt; 1.5; adjusted <span class="html-italic">p</span>-value &lt; 0.05). The numbers of DEGs are shown in parentheses. (<b>b</b>) Hierarchically clustered heatmap displaying the log<sub>2</sub>FC values of all significant genes in the ECS vs. mock or PPZ vs. mock comparisons. (<b>c</b>) GO biological process term enrichment analysis of the ECS and PPZ DEG lists.</p>
Full article ">Figure 4
<p>Expression of genes involved in BR biosynthesis and signaling, ethylene biosynthesis, cell proliferation and cell elongation. Heatmaps represent log2FC values of genes in the ECS vs. mock or PPZ vs. mock comparisons. Black dots indicate statistical significance of differential expression (adjusted <span class="html-italic">p</span>-value &lt; 0.05). (<b>a</b>) BR biosynthetic and signaling genes, (<b>b</b>) <span class="html-italic">OsPLT</span> genes, (<b>c</b>) ethylene biosynthesis genes, (<b>d</b>,<b>e</b>) cell wall loosening and remodeling genes <span class="html-italic">OsXTHs</span> (<b>d</b>) and <span class="html-italic">OsEXPs</span> (<b>e</b>), (<b>f</b>,<b>g</b>) aquaporin genes <span class="html-italic">OsPIPs</span> (<b>f</b>) and <span class="html-italic">OsTIPs</span> (<b>g</b>). Only genes that showed statistical significance in at least one of the ECS or PPZ comparisons were included in this figure.</p>
Full article ">Figure 5
<p>Effect of ECS and PPZ treatments on root growth responses to N deficiency. Germinated seeds were grown in normal N for 5 d and then transferred to either normal N or low N conditions containing 10 nM ECS or 4 μM PPZ or mock for 7 d. (<b>a</b>) Representative images of roots grown under different treatments. Scale bar = 2 cm. (<b>b</b>) Crown root length was calculated from the average of the three longest crown roots. Data are means ± SD (<span class="html-italic">n</span> = 10 biological replicates). (<b>c</b>–<b>g</b>) Quantifications of root meristem size (<b>c</b>), meristem cell number (<b>d</b>) and average meristem cell length (<b>e</b>) in the crown roots were determined from cortical cells in the 4th cortical layer by measuring from the QC to the first elongated cell. Mature cell length (<b>f</b>) was determined from the average length of five adjacent mature cortical cells. (<b>g</b>) Average cortical cell length along the longitudinal root axis from the QC illustrated the number of cells in the meristem, the onset of rapid cell elongation and the effect of low N on promoting cell elongation under mock and ECS treatments but not PPZ treatment. Data are means ± SD (<span class="html-italic">n</span> ≥ 6 biological replicates). Significant differences are indicated by * for <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
11 pages, 2379 KiB  
Communication
Burial Environment Drives Seed Mortality of Kochia (Bassia scoparia), Wild Oat (Avena fatua), and Volunteer Canola (Brassica napus) Irrespective of Crop Species
by Charles M. Geddes
Plants 2021, 10(9), 1961; https://doi.org/10.3390/plants10091961 - 20 Sep 2021
Cited by 5 | Viewed by 2356
Abstract
Models of weed population demography are critical to understanding the long-term viability of management strategies. The driving factors of weed seedbank persistence are often underrepresented in demographic models due to the cumbersome nature of seedbank research. Simplification of weed seedbank dynamics may induce [...] Read more.
Models of weed population demography are critical to understanding the long-term viability of management strategies. The driving factors of weed seedbank persistence are often underrepresented in demographic models due to the cumbersome nature of seedbank research. Simplification of weed seedbank dynamics may induce substantial error in model simulations. A soil bioassay was conducted to determine whether growth of different crop species, including wheat (Triticum aestivum L.), canola (Brassica napus L.), and field pea (Pisum sativum L.), differentially impact seed mortality of kochia [Bassia scoparia (L.) A.J. Scott], wild oat (Avena fatua L.), and volunteer canola in seven burial environments in western Canada. Weed seed survival after the 7 week burial period varied widely among burial environments (from 8% to 88% when averaged among weed and crop species), whereas growth of the different crop species had negligible impact on seedbank persistence. Among environments, wild oat seed survived the greatest (79%), followed by kochia (20%), and volunteer canola (6%). Weed seed survival was associated with soil physical properties (texture) and seed microsite characteristics (temperature), but not crop species or soil chemical properties. Overall, these data support the need for greater integration of soil and environmental parameters into models of weed population demography. Full article
Show Figures

Figure 1

Figure 1
<p>Percent of total variance allocated to each factor included in the linear mixed effects model for seed survival of kochia, wild oat, and volunteer canola in a 7 week bioassay experiment planted to wheat, canola, and field pea. Other includes all remaining fixed and random factors.</p>
Full article ">Figure 2
<p>The percentage of volunteer canola, kochia, and wild oat seeds that survived a 7 week burial period in seven different environments planted to wheat, canola, and field pea (<span class="html-italic">n</span> = 9). Bars indicate back transformed arcsine square root means among crop species. Different letters indicate significant difference based on Tukey’s HSD (α = 0.05).</p>
Full article ">Figure 3
<p>Parameter estimates from the partial least squares analysis retaining only influential independent variables (Variable Importance for the Projection statistic ≥0.8). The coefficients indicate the association of each independent variable with seed survival of the weed species. Abbreviations: T<sub>min</sub>, T<sub>max</sub>, and T<sub>diurnal</sub> indicate the mean daily minimum, maximum, and diurnal range, respectively, in soil temperature throughout the 7 week bioassay; GDD indicates cumulative growing degree days at 10 cm soil depth (T<sub>base</sub> = 0 °C).</p>
Full article ">
21 pages, 2127 KiB  
Article
The Integrated Amendment of Sodic-Saline Soils Using Biochar and Plant Growth-Promoting Rhizobacteria Enhances Maize (Zea mays L.) Resilience to Water Salinity
by Yasser Nehela, Yasser S. A. Mazrou, Tarek Alshaal, Asmaa M. S. Rady, Ahmed M. A. El-Sherif, Alaa El-Dein Omara, Ahmed M. Abd El-Monem and Emad M. Hafez
Plants 2021, 10(9), 1960; https://doi.org/10.3390/plants10091960 - 20 Sep 2021
Cited by 54 | Viewed by 4880
Abstract
The utilization of low-quality water or slightly saline water in sodic-saline soil is a major global conundrum that severely impacts agricultural productivity and sustainability, particularly in arid and semiarid regions with limited freshwater resources. Herein, we proposed an integrated amendment strategy for sodic-saline [...] Read more.
The utilization of low-quality water or slightly saline water in sodic-saline soil is a major global conundrum that severely impacts agricultural productivity and sustainability, particularly in arid and semiarid regions with limited freshwater resources. Herein, we proposed an integrated amendment strategy for sodic-saline soil using biochar and/or plant growth-promoting rhizobacteria (PGPR; Azotobacter chroococcum SARS 10 and Pseudomonas koreensis MG209738) to alleviate the adverse impacts of saline water on the growth, physiology, and productivity of maize (Zea mays L.), as well as the soil properties and nutrient uptake during two successive seasons (2018 and 2019). Our field experiments revealed that the combined application of PGPR and biochar (PGPR + biochar) significantly improved the soil ecosystem and physicochemical properties and K+, Ca2+, and Mg2+ contents but reduced the soil exchangeable sodium percentage and Na+ content. Likewise, it significantly increased the activity of soil urease (158.14 ± 2.37 and 165.51 ± 3.05 mg NH4+ g−1 dry soil d−1) and dehydrogenase (117.89 ± 1.86 and 121.44 ± 1.00 mg TPF g−1 dry soil d−1) in 2018 and 2019, respectively, upon irrigation with saline water compared with non-treated control. PGPR + biochar supplementation mitigated the hazardous impacts of saline water on maize plants grown in sodic-saline soil better than biochar or PGPR individually (PGPR + biochar > biochar > PGPR). The highest values of leaf area index, total chlorophyll, carotenoids, total soluble sugar (TSS), relative water content, K+ and K+/Na+ of maize plants corresponded to PGPR + biochar treatment. These findings could be guidelines for cultivating not only maize but other cereal crops particularly in salt-affected soil and sodic-saline soil. Full article
Show Figures

Figure 1

Figure 1
<p>The soil chemical properties at harvest time of maize plants growing in sodic-saline soil and irrigated with fresh and saline water after the application of biochar and PGPR during the 2019 season. Data presented are the means ± standard deviation (mean ± SD) of three biological replicates. Presented pairwise differences connecting letters (significance letters) were generated based on the <span class="html-italic">p</span>-value of the interaction between water type (as the main plots) and treatments (as subplots) that were mentioned as (<span class="html-italic">p</span><sub>Water × Treatment</sub>). Means followed by different letters indicate statistically significant differences among treatments according to Tukey’s honestly significant difference (HSD) test (<span class="html-italic">p</span> ≤ 0.05), whereas means followed by the same letters indicate no statistically significant differences among them. EC: Electrical conductivity; SAR: Sodium adsorption ratio. mEq L<sup>−1</sup>: milliequivalents per liter.</p>
Full article ">Figure 2
<p>Leaf area index, photosynthetic pigments, and biochemical traits and of maize plants growing in sodic-saline soil and irrigated with fresh and saline water after the application of biochar and PGPR during the 2019 season. Data presented are the means ± standard deviation (mean ± SD) of three biological replicates. Presented pairwise differences connecting letters (significance letters) were generated based on the <span class="html-italic">p</span>-value of the interaction between water type (as the main plots) and treatments (as subplots) that were mentioned as (<span class="html-italic">p</span><sub>Water × Treatment</sub>). Means followed by different letters indicate statistically significant differences among treatments according to Tukey’s honestly significant difference (HSD) test (<span class="html-italic">p</span> ≤ 0.05), whereas means followed by the same letters indicate no statistically significant differences among them. TSS: Total soluble sugar.</p>
Full article ">Figure 3
<p>The leaf content of Na<sup>+</sup> and K<sup>+</sup>, K<sup>+</sup>/Na<sup>+</sup> ratio, and the NPK content of grains of maize plants growing in sodic-saline soil and irrigated with fresh and saline water after the application of biochar and PGPR during the 2019 season. Data presented are the means ± standard deviation (mean ± SD) of three biological replicates. Presented pairwise differences connecting letters (significance letters) were generated based on the <span class="html-italic">p</span>-value of the interaction between water type (as the main plots) and treatments (as subplots) that were mentioned as (<span class="html-italic">p</span><sub>Water × Treatment</sub>). Means followed by different letters indicate statistically significant differences among treatments according to Tukey’s honestly significant difference (HSD) test (<span class="html-italic">p</span> ≤ 0.05), whereas means followed by the same letters indicate no statistically significant differences among them.</p>
Full article ">
17 pages, 4168 KiB  
Article
Thymus vulgaris Essential Oil and Its Biological Activity
by Lucia Galovičová, Petra Borotová, Veronika Valková, Nenad L. Vukovic, Milena Vukic, Jana Štefániková, Hana Ďúranová, Przemysław Łukasz Kowalczewski, Natália Čmiková and Miroslava Kačániová
Plants 2021, 10(9), 1959; https://doi.org/10.3390/plants10091959 - 19 Sep 2021
Cited by 67 | Viewed by 8899
Abstract
Thymus vulgaris essential oil has potential good biological activity. The aim of the research was to evaluate the biological activity of the T. vulgaris essential oil from the Slovak company. The main components of T. vulgaris essential oil were thymol (48.1%), p-cymene [...] Read more.
Thymus vulgaris essential oil has potential good biological activity. The aim of the research was to evaluate the biological activity of the T. vulgaris essential oil from the Slovak company. The main components of T. vulgaris essential oil were thymol (48.1%), p-cymene (11.7%), 1,8-cineole (6.7), γ-terpinene (6.1%), and carvacrol (5.5%). The antioxidant activity was 85.2 ± 0.2%, which corresponds to 479.34 ± 1.1 TEAC. The antimicrobial activity was moderate or very strong with inhibition zones from 9.89 to 22.44 mm. The lowest values of MIC were determined against B. subtilis, E. faecalis, and S. aureus. In situ antifungal analysis on bread shows that the vapor phase of T. vulgaris essential oil can inhibit the growth of the microscopic filamentous fungi of the genus Penicillium. The antimicrobial activity against S. marcescens showed 46.78–87.80% inhibition at concentrations 62.5–500 µL/mL. The MALDI TOF MS analyses suggest changes in the protein profile of biofilm forming bacteria P. fluorescens and S. enteritidis after the fifth and the ninth day, respectively. Due to the properties of the T. vulgaris essential oil, it can be used in the food industry as a natural supplement to extend the shelf life of the foods. Full article
Show Figures

Figure 1

Figure 1
<p>MALDI-TOF mass spectra of <span class="html-italic">S. enteritidis</span> biofilm during development after the addition of <span class="html-italic">T. vulgaris</span> EO: (<b>A</b>) 3rd day, (<b>B</b>) 5th day, (<b>C</b>) 7th day, (<b>D</b>) 9th day, (<b>E</b>) 12th day, and (<b>F</b>) 14th day.</p>
Full article ">Figure 1 Cont.
<p>MALDI-TOF mass spectra of <span class="html-italic">S. enteritidis</span> biofilm during development after the addition of <span class="html-italic">T. vulgaris</span> EO: (<b>A</b>) 3rd day, (<b>B</b>) 5th day, (<b>C</b>) 7th day, (<b>D</b>) 9th day, (<b>E</b>) 12th day, and (<b>F</b>) 14th day.</p>
Full article ">Figure 2
<p>Dendrogram of <span class="html-italic">S. enteritidis</span> generated using MSPs of the planktonic cells and the control. SE, <span class="html-italic">S. enteritidis</span>; C, control; G, glass; W, wood; and P, planktonic cells.</p>
Full article ">Figure 3
<p>Representative MALDI-TOF mass spectra of <span class="html-italic">P. fluorescens</span>: (<b>A</b>) 3rd day, (<b>B</b>) 5th day, (<b>C</b>) 7th day, (<b>D</b>) 9th day, (<b>E</b>) 12th day, and (<b>F</b>) 14th day.</p>
Full article ">Figure 3 Cont.
<p>Representative MALDI-TOF mass spectra of <span class="html-italic">P. fluorescens</span>: (<b>A</b>) 3rd day, (<b>B</b>) 5th day, (<b>C</b>) 7th day, (<b>D</b>) 9th day, (<b>E</b>) 12th day, and (<b>F</b>) 14th day.</p>
Full article ">Figure 4
<p>Dendrogram of <span class="html-italic">P. fluorescens</span> generated using MSPs of the planktonic cells and the control. PF, <span class="html-italic">P. fulorescens</span>; C, control; G, glass; W, wood; and P, planktonic cells.</p>
Full article ">
15 pages, 1940 KiB  
Article
Morphological, Physiological and Photophysiological Responses of Critically Endangered Acer catalpifolium to Acid Stress
by Yuyang Zhang, Tao Yu, Wenbao Ma, Buddhi Dayananda, Kenji Iwasaki and Junqing Li
Plants 2021, 10(9), 1958; https://doi.org/10.3390/plants10091958 - 19 Sep 2021
Cited by 5 | Viewed by 2192
Abstract
Acid rain deposition (AR) has long-lasting implications for the community stability and biodiversity conservation in southwest China. Acer catalpifolium is a critically endangered species in the rain zone of Western China where AR occurs frequently. To understand the effects of AR on the [...] Read more.
Acid rain deposition (AR) has long-lasting implications for the community stability and biodiversity conservation in southwest China. Acer catalpifolium is a critically endangered species in the rain zone of Western China where AR occurs frequently. To understand the effects of AR on the morphology and physiology of A. catalpifolium, we conducted an acid stress simulation experiment for 1.5 years. The morphological, physiological, and photosynthetic responses of A. catalpifolium to the acidity, composition, and deposition pattern of acid stress was observed. The results showed that simulated acid stress can promote the growth of A. catalpifolium via the soil application mode. The growth improvement of A. catalpifolium under nitric-balanced acid rain via the soil application mode was greater than that of sulfuric-dominated acid rain via the soil application mode. On the contrary, the growth of A. catalpifolium was significantly inhibited by acid stress and the inhibition increased with the acidity of acid stress applied via leaf spraying. The inhibitory impacts of nitric-balanced acid rain via the leaf spraying of A. catalpifolium were greater than that of sulfur-dominant acid rain via leaf spraying. The observations presented in this work can be utilized for considering potential population restoration plans for A. catalpifolium, as well as the forests in southwest China. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
Show Figures

Figure 1

Figure 1
<p>Effect of different forms of acid stress on plant height (cm) of <span class="html-italic">A. catalpifolium</span> during the 16-month observation period. The treatments: CK, NS (<b>A</b>), NL (<b>B</b>), SS (<b>C</b>) and SL (<b>D</b>) are defined as control, nitric-balanced acid applied to soil, nitric-balanced acid applied to leaves, sulfuric-dominated acid applied to soil and sulfuric-dominated acid applied to leaves, respectively. Values are the average ± standard deviation (n = 10).</p>
Full article ">Figure 2
<p>Effect of different forms of acid stress on diameter of ground stem (mm) of <span class="html-italic">A</span><span class="html-italic">. catalpifolium</span> during the 16-month observation period. The treatments: CK, NS (<b>A</b>), NL (<b>B</b>), SS (<b>C</b>) and SL (<b>D</b>) are defined as control, nitric-balanced acid applied to soil, nitric-balanced acid applied to leaves, sulfuric-dominated acid applied to soil and sulfuric-dominated acid applied to leaves, respectively. Values are the average ± standard deviation (n = 10).</p>
Full article ">Figure 3
<p>Effect of different forms of acid stress on the crown of <span class="html-italic">A. catalpifolium</span> during the 16-month observation period. The treatments: CK, NS (<b>A</b>), NL (<b>B</b>), SS (<b>C</b>) and SL (<b>D</b>) are defined as control, nitric-balanced acid applied to soil, nitric-balanced acid applied to leaves, sulfuric-dominated acid applied to soil and sulfuric-dominated acid applied to leaves, respectively. Values are the average ± standard deviation (n = 10).</p>
Full article ">Figure 4
<p>Effect of different forms of acid stress on root-to-shoot ratio (RSR) of <span class="html-italic">A</span><span class="html-italic">. catalpifolium</span>. The treatments: CK, NS (<b>A</b>), NL (<b>B</b>), SS (<b>C</b>) and SL (<b>D</b>) are defined as control, nitric-balanced acid applied to soil, nitric-balanced acid applied to leaves, sulfuric-dominated acid applied to soil and sulfuric-dominated acid applied to leaves, respectively. Values are the average ± standard deviation (n = 10). Different letters above the error bars in each faceted plots indicated a significant difference (<span class="html-italic">p</span> &lt; 0.05) among different acidity within the same acid treatments.</p>
Full article ">Figure 5
<p>Effect of different forms of acid stress on different species’ chlorophyll content of <span class="html-italic">Acer catalpifolium</span> leaves. The treatments: CK, CK, NS (<b>A</b>), NL (<b>B</b>), SS (<b>C</b>) and SL (<b>D</b>) indicated are defined as control, nitric-balanced acid applied to soil, nitric-balanced acid applied to leaves, sulfuric-dominated acid applied to soil and sulfuric-dominated acid applied to leaves, respectively. The black dot in each of the boxes represents mean values and bars and stand for maximum or minimum value of each treatment (n = 10).</p>
Full article ">
24 pages, 3104 KiB  
Article
Antioxidant Activity and Discrimination of Organic Apples (Malus domestica Borkh.) Cultivated in the Western Region of Romania: A DPPH· Kinetics–PCA Approach
by Olimpia Alina Iordănescu, Maria Băla, Alina Carmen Iuga, Dina Gligor (Pane), Ionuţ Dascălu, Gabriel Stelian Bujancă, Ioan David, Nicoleta Gabriela Hădărugă and Daniel Ioan Hădărugă
Plants 2021, 10(9), 1957; https://doi.org/10.3390/plants10091957 - 19 Sep 2021
Cited by 9 | Viewed by 2735
Abstract
Apple (Malus domestica Borkh.) is one of the most used fruit for beverages in Romania. The goal of the study was to evaluate the antioxidant activity and discrimination of various parts of organic and non-organic apple varieties cultivated in the western region [...] Read more.
Apple (Malus domestica Borkh.) is one of the most used fruit for beverages in Romania. The goal of the study was to evaluate the antioxidant activity and discrimination of various parts of organic and non-organic apple varieties cultivated in the western region of Romania using the DPPH kinetics–PCA (principal component analysis) approach. Organic and non-organic apples were subjected to solid–liquid ethanol extraction. Core and shell extracts were mixed with DPPH· and spectrophotometrically monitored at 517 nm. Antioxidant activity and mean DPPH· reaction rate at various time ranges reveal significant differences between organic and non-organic samples, as well as apple parts. Organic core and shell extracts had higher antioxidant activities than the corresponding non-organic samples (74.5–96.9% and 61.9–97.2%, respectively, 23.5–94.3% and 59.5–95.5%). Significant differences were observed for the DPPH· reaction rate for the first ½ min, especially in the presence of organic core extracts (3.7–4.8 μM/s). The organic samples were well discriminated by DPPH· kinetics–PCA, the most important variables being the DPPH· reaction rate for the first time range. This is the first DPPH· kinetics–PCA approach applied for discriminating between organic and non-organic fruits and can be useful for evaluating the quality of such type of fruits. Full article
(This article belongs to the Special Issue Plant Bioactive Compounds and Prospects for Their Use in Beverages)
Show Figures

Figure 1

Figure 1
<p>Variation of the DPPH· concentration during the reaction with antioxidant compounds from the extracts obtained from: (<b>a</b>) the organic shell and core of the “Golden Delicious” apple variety (<span class="html-italic">Gd</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Gd</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>b</b>) the non-organic shell and core of the “Golden Delicious” apple variety (<span class="html-italic">Gd</span>(<span class="html-italic">sh</span>)<span class="html-italic">_AR</span> and <span class="html-italic">Gd</span>(<span class="html-italic">co</span>)<span class="html-italic">_AR</span>); (<b>c</b>) the organic shell and core of the “Florina” apple variety (<span class="html-italic">Fl</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Fl</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>d</b>) the non-organic shell and core of the “Florina” apple variety (<span class="html-italic">Fl</span>(<span class="html-italic">sh</span>)<span class="html-italic">_LG</span> and <span class="html-italic">Fl</span>(<span class="html-italic">co</span>)<span class="html-italic">_LG</span>); (<b>e</b>) the organic shell and core of the “Generos” apple variety (<span class="html-italic">Gn</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SR</span> and <span class="html-italic">Gn</span>(<span class="html-italic">co</span>)<span class="html-italic">_SR</span>); (<b>f</b>) the organic shell and core of the “Generos” apple variety (<span class="html-italic">Gn</span>(<span class="html-italic">sh</span>)<span class="html-italic">_LG</span> and <span class="html-italic">Gn</span>(<span class="html-italic">co</span>)<span class="html-italic">_LG</span>); (<b>g</b>) the organic shell and core of the “Starkrimson” apple variety (<span class="html-italic">Sk</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Sk</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>h</b>) the non-organic shell and core of the “Starkrimson” apple variety (<span class="html-italic">Sk</span>(<span class="html-italic">sh</span>)<span class="html-italic">_MK</span> and <span class="html-italic">Sk</span>(<span class="html-italic">co</span>)<span class="html-italic">_MK</span>) (all determinations are presented as duplicates “<span class="html-italic">1</span>” and “<span class="html-italic">2</span>”). See <a href="#app1-plants-10-01957" class="html-app">Supplementary Materials</a> for all DPPH· kinetic results.</p>
Full article ">Figure 1 Cont.
<p>Variation of the DPPH· concentration during the reaction with antioxidant compounds from the extracts obtained from: (<b>a</b>) the organic shell and core of the “Golden Delicious” apple variety (<span class="html-italic">Gd</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Gd</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>b</b>) the non-organic shell and core of the “Golden Delicious” apple variety (<span class="html-italic">Gd</span>(<span class="html-italic">sh</span>)<span class="html-italic">_AR</span> and <span class="html-italic">Gd</span>(<span class="html-italic">co</span>)<span class="html-italic">_AR</span>); (<b>c</b>) the organic shell and core of the “Florina” apple variety (<span class="html-italic">Fl</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Fl</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>d</b>) the non-organic shell and core of the “Florina” apple variety (<span class="html-italic">Fl</span>(<span class="html-italic">sh</span>)<span class="html-italic">_LG</span> and <span class="html-italic">Fl</span>(<span class="html-italic">co</span>)<span class="html-italic">_LG</span>); (<b>e</b>) the organic shell and core of the “Generos” apple variety (<span class="html-italic">Gn</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SR</span> and <span class="html-italic">Gn</span>(<span class="html-italic">co</span>)<span class="html-italic">_SR</span>); (<b>f</b>) the organic shell and core of the “Generos” apple variety (<span class="html-italic">Gn</span>(<span class="html-italic">sh</span>)<span class="html-italic">_LG</span> and <span class="html-italic">Gn</span>(<span class="html-italic">co</span>)<span class="html-italic">_LG</span>); (<b>g</b>) the organic shell and core of the “Starkrimson” apple variety (<span class="html-italic">Sk</span>(<span class="html-italic">sh</span>)<span class="html-italic">_SRa</span> and <span class="html-italic">Sk</span>(<span class="html-italic">co</span>)<span class="html-italic">_SRa</span>); (<b>h</b>) the non-organic shell and core of the “Starkrimson” apple variety (<span class="html-italic">Sk</span>(<span class="html-italic">sh</span>)<span class="html-italic">_MK</span> and <span class="html-italic">Sk</span>(<span class="html-italic">co</span>)<span class="html-italic">_MK</span>) (all determinations are presented as duplicates “<span class="html-italic">1</span>” and “<span class="html-italic">2</span>”). See <a href="#app1-plants-10-01957" class="html-app">Supplementary Materials</a> for all DPPH· kinetic results.</p>
Full article ">Figure 2
<p>PCA results for the antioxidant activity and DPPH· kinetics data of all organic (“<span class="html-italic">O</span>”—blue) and non-organic (“<span class="html-italic">N</span>”—red) apple extracts: (<b>a</b>) <span class="html-italic">PC</span><sub>2</sub> versus <span class="html-italic">PC</span><sub>1</sub> scores plot; (<b>b</b>) <span class="html-italic">PC</span><sub>3</sub> versus <span class="html-italic">PC</span><sub>1</sub> scores plot.</p>
Full article ">
11 pages, 939 KiB  
Article
Molecular and Enzymatic Characterization of Flavonoid 3′-Hydroxylase of Malus × domestica
by Julia Weissensteiner, Christian Molitor, Silvija Marinovic, Lisa Führer, Syed Waqas Hassan, Olly Sanny Hutabarat, Andreas Spornberger, Karl Stich, Johanna Hausjell, Oliver Spadiut, Christian Haselmair-Gosch and Heidi Halbwirth
Plants 2021, 10(9), 1956; https://doi.org/10.3390/plants10091956 - 19 Sep 2021
Cited by 8 | Viewed by 3077
Abstract
Malus × domestica (apple) accumulates particularly high amounts of dihydrochalcones in various tissues, with phloridzin (phloretin 2′-O-glucoside) being prevalent, although small amounts of 3-hydroxyphloretin and 3-hydroxyphloridzin are also constitutively present. The latter was shown to correlate with increased disease resistance of [...] Read more.
Malus × domestica (apple) accumulates particularly high amounts of dihydrochalcones in various tissues, with phloridzin (phloretin 2′-O-glucoside) being prevalent, although small amounts of 3-hydroxyphloretin and 3-hydroxyphloridzin are also constitutively present. The latter was shown to correlate with increased disease resistance of transgenic M. × domestica plants. Two types of enzymes could be involved in 3-hydroxylation of dihydrochalcones: polyphenol oxidases or the flavonoid 3′-hydroxylase (F3′H), which catalyzes B-ring hydroxylation of flavonoids. We isolated two F3′H cDNA clones from apple leaves and tested recombinant Malus F3′Hs for their substrate specificity. From the two isolated cDNA clones, only F3′HII encoded a functionally active enzyme. In the F3′HI sequence, we identified two putatively relevant amino acids that were exchanged in comparison to that of a previously published F3′HI. Site directed mutagenesis, which exchanged an isoleucine into methionine in position 211 restored the functional activity, which is probably because it is located in an area involved in interaction with the substrate. In contrast to high activity with various flavonoid substrates, the recombinant enzymes did not accept phloretin under assay conditions, making an involvement in the dihydrochalcone biosynthesis unlikely. Full article
(This article belongs to the Topic Mechanisms of Resistance to Plant Diseases)
Show Figures

Figure 1

Figure 1
<p>Chemical structures of selected dihydroxychalcones found in Malus species. R=H, R’=OH: Phloretin. R, R’=OH: 3-Hydroxyphloretin. R=H, R’=Glc: Phloretin 2′-<span class="html-italic">O-</span>glucoside (phloridzin). R=OH, R’=Glc: 3-Hydroxyphloretin 2′-<span class="html-italic">O</span>-glucoside (3-hydroxyphloridzin).</p>
Full article ">Figure 2
<p>Western blot of recombinant enzyme preparations obtained after heterologous expression in <span class="html-italic">Saccharomyces cerevisiae</span>. Picture was doctored to enhance visibility; original is available under <a href="#app1-plants-10-01956" class="html-app">Figure S3</a>. Lane 1: MdF3′HI, Lane 2: MdF3′HII, Lane 3: MdF3′HI I22M/S224P. Western blot analysis clearly demonstrated presence of recombinant proteins. Protein band at around 58 kDa shows intact MdF3′H enzyme. MdF3′H seems smaller than calculated size because composition of microsome preparation might have an influence on migration of protein. Band at around 46 kDa is probably a C-terminal digested part of F3′H.</p>
Full article ">Figure 3
<p>DAD-chromatogram at 280 nm of LC-MS analysis after incubation of phloretin and NADPH in presence of recombinant MdF3′HII (MH468789) (top); CsCH3H; (FJ216429) (center), and CrCYPred (X69791) (bottom).</p>
Full article ">
16 pages, 902 KiB  
Article
Chemical Composition, Anti-Quorum Sensing, Enzyme Inhibitory, and Antioxidant Properties of Phenolic Extracts of Clinopodium nepeta L. Kuntze
by Hatem Beddiar, Sameh Boudiba, Merzoug Benahmed, Alfred Ngenge Tamfu, Özgür Ceylan, Karima Hanini, Selcuk Kucukaydin, Abdelhakim Elomri, Chawki Bensouici, Hocine Laouer, Salah Akkal, Louiza Boudiba and Rodica Mihaela Dinica
Plants 2021, 10(9), 1955; https://doi.org/10.3390/plants10091955 - 18 Sep 2021
Cited by 39 | Viewed by 4043
Abstract
Phenolic extracts of Clinopodium nepeta were prepared and their preliminary phenolic profiles determined using HPLC-DAD with 26 phenolic standards. Apigenin (21.75 ± 0.41 µg/g), myricetin (72.58 ± 0.57 µg/g), and rosmarinic acid (88.51 ± 0.55 µg/g) were the most abundant compounds in DCM [...] Read more.
Phenolic extracts of Clinopodium nepeta were prepared and their preliminary phenolic profiles determined using HPLC-DAD with 26 phenolic standards. Apigenin (21.75 ± 0.41 µg/g), myricetin (72.58 ± 0.57 µg/g), and rosmarinic acid (88.51 ± 0.55 µg/g) were the most abundant compounds in DCM (dichloromethane), AcOEt (ethyl acetate), and BuOH (butanol) extracts, respectively. The DCM and AcOEt extracts inhibited quorum-sensing mediated violacein production by C. violaceum CV12472. Anti-quorum-sensing zones on C. violaceum CV026 at MIC (minimal inhibitory concentration) were 10.3 ± 0.8 mm for DCM extract and 12.0 ± 0.5 mm for AcOEt extract. Extracts showed concentration-dependent inhibition of swarming motility on flagellated P. aeruginosa PA01 and at the highest test concentration of 100 μg/mL, AcOEt (35.42 ± 1.00%) extract displayed the best activity. FRAP assay indicated that the BuOH extract (A0.50 = 17.42 ± 0.25 µg/mL) was more active than standard α-tocopherol (A0.50 = 34.93 ± 2.38 µg/mL). BuOH extract was more active than other extracts except in the ABTS●+, where the DCM extract was most active. This antioxidant activity could be attributed to the phenolic compounds detected. C. nepeta extracts showed moderate inhibition on acetylcholinesterase (AChE), butyrylcholinesterase (BChE), tyrosinase, and α-amylase. The results indicate that C. nepeta is a potent source of natural antioxidants that could be used in managing microbial resistance and Alzheimer′s disease. Full article
(This article belongs to the Special Issue Biological Activities of Plant Extracts)
Show Figures

Figure 1

Figure 1
<p>HPLC chromatograms of phenolic compounds; (<b>A</b>): Standards, (<b>B</b>): DCM extract of <span class="html-italic">C. nepeta</span>, (<b>C</b>): AcOEt extract of <span class="html-italic">C. nepeta</span>, (<b>D</b>): BuOH extract of <span class="html-italic">C. nepeta.</span></p>
Full article ">
19 pages, 5259 KiB  
Article
Diversity and Cytogenomic Characterization of Wild Carrots in the Macaronesian Islands
by Guilherme Roxo, Mónica Moura, Pedro Talhinhas, José Carlos Costa, Luís Silva, Raquel Vasconcelos, Miguel Menezes de Sequeira and Maria Manuel Romeiras
Plants 2021, 10(9), 1954; https://doi.org/10.3390/plants10091954 - 18 Sep 2021
Cited by 5 | Viewed by 2986
Abstract
The Macaronesian islands constitute an enormous reservoir of genetic variation of wild carrots (subtribe Daucinae; Apiaceae), including 10 endemic species, but an accurate understanding of the diversification processes within these islands is still lacking. We conducted a review of the morphology, ecology, and [...] Read more.
The Macaronesian islands constitute an enormous reservoir of genetic variation of wild carrots (subtribe Daucinae; Apiaceae), including 10 endemic species, but an accurate understanding of the diversification processes within these islands is still lacking. We conducted a review of the morphology, ecology, and conservation status of the Daucinae species and, on the basis of a comprehensive dataset, we estimated the genome size variation for 16 taxa (around 320 samples) occurring in different habitats across the Macaronesian islands in comparison to mainland specimens. Results showed that taxa with larger genomes (e.g., Daucus crinitus: 2.544 pg) were generally found in mainland regions, while the insular endemic taxa from Azores and Cabo Verde have smaller genomes. Melanoselinum decipiens and Monizia edulis, both endemic to Madeira Island, showed intermediate values. Positive correlations were found between mean genome size and some morphological traits (e.g., spiny or winged fruits) and also with habit (herbaceous or woody). Despite the great morphological variation found within the Cabo Verde endemic species, the 2C-values obtained were quite homogeneous between these taxa and the subspecies of Daucus carota, supporting the close relationship among these taxa. Overall, this study improved the global knowledge of DNA content for Macaronesian endemics and shed light into the mechanisms underpinning diversity patterns of wild carrots in the western Mediterranean region. Full article
(This article belongs to the Special Issue Systematics and the Conservation of Plant Diversity)
Show Figures

Figure 1

Figure 1
<p>Daucinae subtribe endemic species from Macaronesia and mainland Portugal. Drawings of the fruits of each taxon are displayed. (<b>A</b>) <span class="html-italic">Daucus carota</span> subsp. <span class="html-italic">azoricus</span>; (<b>B</b>) <span class="html-italic">Daucus carota</span> subsp. <span class="html-italic">halophilus</span>; (<b>C</b>) <span class="html-italic">Tornabenea tenuissima</span>; (<b>D</b>) <span class="html-italic">Tornabenea annua</span>; (<b>E</b>) <span class="html-italic">Tornabenea ribeirensis</span>; (<b>F</b>) <span class="html-italic">Tornabenea bischoffii</span>; (<b>G</b>) <span class="html-italic">Tornabenea insularis</span>; (<b>H</b>) <span class="html-italic">Monizia edulis</span>; and (<b>I</b>) <span class="html-italic">Melanoselinum decipiens</span>.</p>
Full article ">Figure 2
<p>Flow cytometry output: flow cytometric histogram of relative fluorescence intensities from propidium iodide-stained <span class="html-italic">Tornabenea bischoffii</span> nuclei using <span class="html-italic">Solanum lycopersicum</span> (2C-values = 1.96 pg) as an internal reference standard.</p>
Full article ">Figure 3
<p>Boxplot diagram showing the genome size variation across the 16 taxa from the Daucinae subtribe. The orange box represents the 25th, 50th (median), and 75th percentiles, while whiskers represent the 10th and 90th percentiles with minimum and maximum observations. The dots represent the outliers. Different letters indicate group of taxa with significant differences.</p>
Full article ">Figure 4
<p>Boxplot diagram showing the genome size variation for the studied Daucinae taxa according to (<b>A</b>) morphology of the secondary ribs (winged or spiny), (<b>B</b>) habit (herbaceous or woody), (<b>C</b>) Raunkiaer classification (chamaephyte, hemicryptophyte, or therophyte), and (<b>D</b>) regions (Az, Azores; CV, Cabo Verde; Lu, Portugal mainland; and Ma, Madeira). The orange box represents the 25th, 50th (median), and 75th percentiles, while whiskers represent the 10th and 90th percentiles with minimum and maximum observations. The dots represent the outliers. Different letters indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 5
<p>Distribution of the target endemic species in Macaronesia and mainland Portugal.</p>
Full article ">
17 pages, 8367 KiB  
Article
Morphology, Anatomy and Secondary Metabolites Investigations of Premna odorata Blanco and Evaluation of Its Anti-Tuberculosis Activity Using In Vitro and In Silico Studies
by Fadia S. Youssef, Elisa Ovidi, Nawal M. Al Musayeib and Mohamed L. Ashour
Plants 2021, 10(9), 1953; https://doi.org/10.3390/plants10091953 - 18 Sep 2021
Cited by 21 | Viewed by 5243
Abstract
In-depth botanical characterization was performed on Premna odorata Blanco (Lamiaceae) different organs for the first time. The leaves are opposite, hairy and green in color. Flowers possess fragrant aromatic odors and exist in inflorescences of 4–15 cm long corymbose cyme-type. In-depth morphological and [...] Read more.
In-depth botanical characterization was performed on Premna odorata Blanco (Lamiaceae) different organs for the first time. The leaves are opposite, hairy and green in color. Flowers possess fragrant aromatic odors and exist in inflorescences of 4–15 cm long corymbose cyme-type. In-depth morphological and anatomical characterization revealed the great resemblance to plants of the genus Premna and of the family Lamiaceae, such as the presence of glandular peltate trichomes and diacytic stomata. Additionally, most examined organs are characterized by non-glandular multicellular covering trichomes, acicular, and rhombic calcium oxalate crystals. P. odorata leaves n-hexane fraction revealed substantial anti-tuberculous potential versus Mycobacterium tuberculosis, showing a minimum inhibition concentration (MIC) of 100 μg/mL. Metabolic profiling of the n-hexane fraction using gas-chromatography coupled to mass spectrometry (GC/MS) analysis revealed 10 major compounds accounting for 93.01%, with trans-phytol constituting the major compound (24.06%). The virtual screening revealed that trans-phytol highly inhibited MTB C171Q receptor as M. tuberculosis KasA (β-ketoacyl synthases) with a high fitting score (∆G = −15.57 kcal/mol) approaching that of isoniazid and exceeding that of thiolactomycin, the co-crystallized ligand. Absorption, distribution, metabolism, excretion and toxicity predictions (ADME/TOPKAT) revealed that trans-phytol shows lower solubility and absorption levels when compared to thiolactomycin and isoniazid. Still, it is safer, causing no mutagenic or carcinogenic effects with higher lethal dose, which causes the death of 50% (LD50). Thus, it can be concluded that P. odorata can act as a source of lead entities to treat tuberculosis. Full article
(This article belongs to the Special Issue Morphological Features and Phytochemical Properties of Herbs)
Show Figures

Figure 1

Figure 1
<p>Morphological characterization of <span class="html-italic">P. odorata</span> displaying (<b>A</b>) entire tree, (<b>B</b>) leaf lower surface (×0.25), (<b>C</b>) leafy branch (×0.17) and (<b>D</b>) leaf upper surface (×0.25).</p>
Full article ">Figure 2
<p>Micromorphology of <span class="html-italic">P. odorata</span> leaf showing (<b>A</b>) entire T.S (×100), (<b>B</b>) lamina (×400), (<b>C</b>) midrib region (×400), and (<b>D</b>) isolated elements. <span class="html-italic">Col.</span>, collenchyma; <span class="html-italic">gl.</span>, glandular peltate trichome; <span class="html-italic">l.ep.</span>, lower epidermis; <span class="html-italic">Mr.</span>, medullary rays; <span class="html-italic">n.gl.</span>, non-glandular trichome; <span class="html-italic">pal.</span>, palisade; <span class="html-italic">per.</span>, pericycle; <span class="html-italic">ph.</span>, phloem; <span class="html-italic">scl.</span>, sclerenchyma; <span class="html-italic">sp.t.</span>, spongy tissue; tr., tracheids; <span class="html-italic">u.ep</span>, upper epidermis; <span class="html-italic">v.b.</span>, vascular bundle; <span class="html-italic">xy.</span>, xylem.</p>
Full article ">Figure 3
<p>Micromorphology of <span class="html-italic">P. odorata</span> petiole showing (<b>A</b>) entire T.S (×100), (<b>B</b>) a part of T.S (×400) and (<b>C</b>) isolated elements. <span class="html-italic">Ca.ox.</span>, acicular crystals of calcium oxalate; <span class="html-italic">cor.</span>, cortex; <span class="html-italic">col.</span>, collenchyma; <span class="html-italic">ep.</span>, epidermis<span class="html-italic">; gl.</span>, glandular peltate trichome; <span class="html-italic">n.gl.</span>, non-glandular trichome; <span class="html-italic">per.</span>, pericycle; <span class="html-italic">per.f.</span>, pericycle fiber; <span class="html-italic">ph.</span>, phloem; <span class="html-italic">v.b</span>, vascular bundle; <span class="html-italic">w.f.</span>, wood fiber; <span class="html-italic">xy.</span>, xylem.</p>
Full article ">Figure 4
<p>Micromorphology of <span class="html-italic">P. odorata</span> young stem branch showing (<b>A</b>) entire T.S (×100), (<b>B</b>) a part of T.S (×400) and (<b>C</b>) isolated elements. <span class="html-italic">Ck.</span>, cork (old stem branch); <span class="html-italic">cor.</span>, cortex; <span class="html-italic">ep.</span>, epidermis<span class="html-italic">; gl.</span>, glandular peltate trichome<span class="html-italic">; n</span>.<span class="html-italic">gl.</span>, non-glandular trichome<span class="html-italic">; per.</span>, pericycle; <span class="html-italic">per.f.</span>, pericycle fiber; <span class="html-italic">pi.</span>, pith; <span class="html-italic">ph.</span>, phloem; <span class="html-italic">scl.</span>, sclerenchyma; <span class="html-italic">tr.</span>, tracheid; <span class="html-italic">w.f.</span>, wood fiber; <span class="html-italic">w.p.</span>, wood parenchyma.; <span class="html-italic">xy.</span>, xylem.</p>
Full article ">Figure 5
<p>Micromorphology of <span class="html-italic">P. odorata</span> old stem branch showing (<b>A</b>) entire T.S (×100) and (<b>B</b>) a part of T.S (×400) <span class="html-italic">Ca.</span>, cambium; <span class="html-italic">Ck.</span>, cork; <span class="html-italic">scl.</span>, sclerenchyma<span class="html-italic">; pi.</span>, pith; <span class="html-italic">ph.</span>, phloem; <span class="html-italic">xy.</span>, xylem.</p>
Full article ">Figure 6
<p>Scheme showing the compounds identified from the <span class="html-italic">n</span>-hexane fraction of <span class="html-italic">P. odorata</span> leaves using GC/MS analysis.</p>
Full article ">Figure 7
<p>MTB C171Q receptor KasA inhibitor ribbon structure (<b>A</b>); validation of the docking experiment (<b>B</b>).</p>
Full article ">Figure 8
<p>Two- and three-dimensional binding behavior of <span class="html-italic">trans</span>-phytol (<b>A</b>) and thiolactomycin; the co-crystalized ligand (<b>B</b>) within MTB C171Q receptor KasA inhibitor (4C6X) active site using C-docker protocol.</p>
Full article ">Figure 9
<p>ADMET Plot for bioactive compound identified in <span class="html-italic">n</span>-hexane fraction of <span class="html-italic">P. odorata</span> leaves showing the 95% and 99% confidence limit ellipses corresponding to the blood-brain barrier (BBB) and the human intestinal absorption models; <span class="html-italic">trans</span>-phytol (filled circle); Co-crystalized ligand (Thiolactomycin) (star); and isoniazid (filled square) in ADMET_AlogP98.</p>
Full article ">
22 pages, 2813 KiB  
Article
Ecological and Biological Properties of Satureja cuneifolia Ten. and Thymus spinulosus Ten.: Two Wild Officinal Species of Conservation Concern in Apulia (Italy). A Preliminary Survey
by Enrico V. Perrino, Francesca Valerio, Shaima Jallali, Antonio Trani and Giuseppe N. Mezzapesa
Plants 2021, 10(9), 1952; https://doi.org/10.3390/plants10091952 - 18 Sep 2021
Cited by 53 | Viewed by 3899
Abstract
This study evaluated the effects of ecology (plant community, topography and pedology), as well as of climate, on the composition of essential oils (EOs) from two officinal wild plant species (Lamiales) from Apulia, namely Satureja cuneifolia Ten. and Thymus spinulosus Ten. Few scientific [...] Read more.
This study evaluated the effects of ecology (plant community, topography and pedology), as well as of climate, on the composition of essential oils (EOs) from two officinal wild plant species (Lamiales) from Apulia, namely Satureja cuneifolia Ten. and Thymus spinulosus Ten. Few scientific data on their chemical composition are available, due to the fact that the first has a limited distribution range and the second is endemic of southern Italy. Results for both species, never officially used in traditional medicine and/or as spices, showed that the ecological context (from a phytosociological and ecological point of view) may influence their EO composition, and hence, yield chemotypes different from those reported in the literature. S. cuneifolia and Th. spinulosus can be considered good sources of phytochemicals as natural agents in organic agriculture due to the presence of thymol and α-pinene. Overall, the obtained trend for EOs suggests a potential use of both species as food, pharmacy, cosmetics and perfumery. Hence, their cultivation and use represent a positive step to reduce the use of synthetic chemicals and to meet the increasing demand for natural and healthier products. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Site locations of <span class="html-italic">Satureja cuneifolia</span> and <span class="html-italic">Thymus spinulosus</span>.</p>
Full article ">Figure 2
<p><span class="html-italic">S. cuneifolia</span> (<b>a</b>) in flowering; (<b>b</b>) in its habitat, <span class="html-italic">Phagnalo saxatilii-Saturejetum cuneifoliae</span>. San Basilio, 26 March 2020.</p>
Full article ">Figure 3
<p><span class="html-italic">S. cuneifolia</span> herbarium samples: (<b>a</b>) San Basilio (Mottola) (BI 42457); (<b>b</b>) Difesa di Malta (Fasano) (BI 42458).</p>
Full article ">Figure 4
<p><span class="html-italic">Th. spinulosus</span> (<b>a</b>) in flowering; (<b>b</b>) in its habitat, <span class="html-italic">Hippocrepido glaucae-Stipion austroitalicae</span>. Scannapecora, 03.06.2020.</p>
Full article ">Figure 5
<p><span class="html-italic">Th. spinulosus</span> herbarium samples: (<b>a</b>) San Egidio (S. G. Rotondo) (BI 42455); (<b>b</b>) Scannapecora (Altamura) (BI 42456).</p>
Full article ">
33 pages, 2967 KiB  
Article
Glucosinolate Induction and Resistance to the Cabbage Moth, Mamestra brassicae, Differs among Kale Genotypes with High and Low Content of Sinigrin and Glucobrassicin
by Francisco Rubén Badenes-Pérez and María Elena Cartea
Plants 2021, 10(9), 1951; https://doi.org/10.3390/plants10091951 - 18 Sep 2021
Cited by 12 | Viewed by 3492
Abstract
The cabbage moth, Mamestra brassicae L. (Lepidoptera: Noctuidae), is a generalist insect pest of cruciferous crops. We tested glucosinolate induction by jasmonic acid (JA) and salicylic acid (SA), and by these phytohormones combined with feeding by M. brassicae larvae in four genotypes of [...] Read more.
The cabbage moth, Mamestra brassicae L. (Lepidoptera: Noctuidae), is a generalist insect pest of cruciferous crops. We tested glucosinolate induction by jasmonic acid (JA) and salicylic acid (SA), and by these phytohormones combined with feeding by M. brassicae larvae in four genotypes of kale, Brassica oleracea L. var. acephala (Brassicaceae). The genotypes tested had high glucobrassicin (genotype HGBS), low glucobrassicin (genotype LGBS), high sinigrin (genotype HSIN), and low sinigrin content (genotype LSIN). Application of JA increased indolic and total glucosinolate content in all kale genotypes 1, 3, and 9 days after treatment. For SA-treated plants, glucosinolate induction varied depending on the number of days after treatment and the genotype. Overall, herbivory by M. brassicae accentuated and attenuated the effects of JA and SA, respectively, on plant glucosinolate content. Larvae of M. brassicae gained less weight on leaves from plants treated with JA compared to leaves from control plants and plants treated with SA. In bioassays with leaf discs, a significant reduction of defoliation only occurred in JA-treated plants of the HSIN genotype. This research shows that previous herbivory alters the susceptibility of kale to M. brassicae and that induction of glucosinolates varies among kale genotypes differing in their glucosinolate content. Full article
(This article belongs to the Special Issue Plant–Insect Interactions)
Show Figures

Figure 1

Figure 1
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN). The glucosinolates shown are total aliphatic (AL), total indolic (IN), total glucosinolates (TO), sinigrin (SIN), glucobrassicin (GBS), and glucoiberin (GIB) (<b>A</b>), and neoglucobrassicin (NEO), progoitrin (PRO), 4-methoxyglucobrassicin (MEOHGBS), 4-hydroxyglucobrassicin (OHGBS), and gluconasturtiin (GNT) (<b>B</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences in glucosinolate content among genotypes. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 2
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN) 1, 3, and 9 days after treatment, respectively. The treatments are control (C) (<b>A</b>), jasmonic acid (JA) (<b>B</b>), salicylic acid (SA) (<b>C</b>), control with larvae (CL) (<b>D</b>), JA with larvae (JAL) (<b>E</b>), and SA with larvae (SAL) (<b>F</b>). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among times after treatment within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 2 Cont.
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN) 1, 3, and 9 days after treatment, respectively. The treatments are control (C) (<b>A</b>), jasmonic acid (JA) (<b>B</b>), salicylic acid (SA) (<b>C</b>), control with larvae (CL) (<b>D</b>), JA with larvae (JAL) (<b>E</b>), and SA with larvae (SAL) (<b>F</b>). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among times after treatment within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 2 Cont.
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN) 1, 3, and 9 days after treatment, respectively. The treatments are control (C) (<b>A</b>), jasmonic acid (JA) (<b>B</b>), salicylic acid (SA) (<b>C</b>), control with larvae (CL) (<b>D</b>), JA with larvae (JAL) (<b>E</b>), and SA with larvae (SAL) (<b>F</b>). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among times after treatment within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 3
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS) and low in glucobrassicin (LGBS) (<b>A</b>), and high in sinigrin (HSIN) and low in sinigrin (LSIN) (<b>B</b>). Data shown are from plants one day after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), and control (C). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 4
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS) (<b>A</b>,<b>B</b>), high in sinigrin (HSIN), and low in sinigrin (LSIN) (<b>C</b>,<b>D</b>). Data shown are from plants three days after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), JA with larvae (JAL), SA with larvae (SAL), control (C), and control with larvae (CL). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 4 Cont.
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS) (<b>A</b>,<b>B</b>), high in sinigrin (HSIN), and low in sinigrin (LSIN) (<b>C</b>,<b>D</b>). Data shown are from plants three days after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), JA with larvae (JAL), SA with larvae (SAL), control (C), and control with larvae (CL). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 5
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS) (<b>A</b>,<b>B</b>), high in sinigrin (HSIN), and low in sinigrin (LSIN) (<b>C</b>,<b>D</b>). Data shown are from plants nine days after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), JA with larvae (JAL), SA with larvae (SAL), control (C), and control with larvae (CL). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 5 Cont.
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS) (<b>A</b>,<b>B</b>), high in sinigrin (HSIN), and low in sinigrin (LSIN) (<b>C</b>,<b>D</b>). Data shown are from plants nine days after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), JA with larvae (JAL), SA with larvae (SAL), control (C), and control with larvae (CL). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 5 Cont.
<p>Mean ± SE glucosinolate content (µmol g<sup>−1</sup> plant dry weight) in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS) (<b>A</b>,<b>B</b>), high in sinigrin (HSIN), and low in sinigrin (LSIN) (<b>C</b>,<b>D</b>). Data shown are from plants nine days after application of phytohormones. The treatments are jasmonic acid (JA), salicylic acid (SA), JA with larvae (JAL), SA with larvae (SAL), control (C), and control with larvae (CL). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among phytohormone treatments within subgroups of total glucosinolates and genotype. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 6
<p>Mean ± SE percentage glucosinolate content related to control plants in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN) one day after treatment with jasmonic acid (JA) and salicylic acid (SA). The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO) (<b>A</b>) and neoglucobrassicin (<b>B</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among genotypes within subgroups of treatment and glucosinolate content. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 7
<p>Mean ± SE percentage glucosinolate content related to control plants in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN). Data shown are from plants three days after application of phytohormones. The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO) for the treatments with jasmonic acid (JA), JA with larvae (JAL), and control with larvae (CL) (<b>A</b>) and after treatment with salicylic acid (SA), and SA with larvae (SAL) (<b>B</b>). Additionally, neoglucobrassicin is also shown for the treatments JA, JAL, CL, SA, and SAL (<b>C</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among genotypes within subgroups of treatment and glucosinolate content. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 7 Cont.
<p>Mean ± SE percentage glucosinolate content related to control plants in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN). Data shown are from plants three days after application of phytohormones. The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO) for the treatments with jasmonic acid (JA), JA with larvae (JAL), and control with larvae (CL) (<b>A</b>) and after treatment with salicylic acid (SA), and SA with larvae (SAL) (<b>B</b>). Additionally, neoglucobrassicin is also shown for the treatments JA, JAL, CL, SA, and SAL (<b>C</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among genotypes within subgroups of treatment and glucosinolate content. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 8
<p>Mean ± SE percentage glucosinolate content related to control plants in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN). Data shown are from plants nine days after application of phytohormones. The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO) for the treatments with jasmonic acid (JA), JA with larvae (JAL), and control with larvae (CL) (<b>A</b>) and after treatment with salicylic acid (SA), and SA with larvae (SAL) (<b>B</b>). Additionally, neoglucobrassicin is also shown for the treatments JA, JAL, CL, SA, and SAL (<b>C</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among genotypes within subgroups of treatment and glucosinolate content. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 8 Cont.
<p>Mean ± SE percentage glucosinolate content related to control plants in kale genotypes high in glucobrassicin (HGBS), low in glucobrassicin (LGBS), high in sinigrin (HSIN), and low in sinigrin (LSIN). Data shown are from plants nine days after application of phytohormones. The glucosinolates shown are total aliphatic (AL), total indolic (IN), and total glucosinolates (TO) for the treatments with jasmonic acid (JA), JA with larvae (JAL), and control with larvae (CL) (<b>A</b>) and after treatment with salicylic acid (SA), and SA with larvae (SAL) (<b>B</b>). Additionally, neoglucobrassicin is also shown for the treatments JA, JAL, CL, SA, and SAL (<b>C</b>). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences among genotypes within subgroups of treatment and glucosinolate content. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 9
<p>Mean ± SE larval weights after feeding on leaf discs of the different plant genotypes and treatments during 9 days (<span class="html-italic">n</span> = 8–10). Post hoc tests with a significance level of <span class="html-italic">p</span> ≤ 0.05 were run to compare differences in larval weights within genotypes. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 10
<p>Pearson’s correlations (significance level of <span class="html-italic">p</span> ≤ 0.05) between plant glucosinolate content and larval weight at the end of the experiment considering glucosinolate content 3 days (<b>A</b>) and 9 days (<b>B</b>) after JA and SA treatment. Data used were the glucosinolate averages corresponding to each plant genotype (HGBS, LGBS, HSIN, and LSIN) and treatment (C, JA, and SA) (<span class="html-italic">n</span> = 12). Data points are crosses, white circles, and black circles for aliphatic, indolic, and total glucosinolates, respectively. Trends lines are short-dashed, long-dashed, and solid lines for aliphatic, indolic, and total glucosinolates, respectively. Significant differences are shown with different lowercase letters.</p>
Full article ">Figure 11
<p>Pearson’s correlations (significance level of <span class="html-italic">p</span> ≤ 0.05) between plant glucosinolate content and herbivory (percentage of leaf discs with defoliation ≥50%) considering glucosinolate content 3 days (<b>A</b>) and 9 days (<b>B</b>) after JA and SA treatment. Data used were the glucosinolate averages corresponding to each plant genotype (HGBS, LGBS, HSIN, and LSIN) and treatment (C, JA, and SA) (<span class="html-italic">n</span> = 12). Data points are crosses, white circles, and black circles for aliphatic, indolic, and total glucosinolates, respectively. Trends lines are short-dashed, long-dashed, and solid lines for aliphatic, indolic, and total glucosinolates, respectively. Significant differences are shown with different lowercase letters.</p>
Full article ">
16 pages, 5269 KiB  
Article
Androgenesis of Red Cabbage in Isolated Microspore Culture In Vitro
by Anna Mineykina, Ludmila Bondareva, Alexey Soldatenko and Elena Domblides
Plants 2021, 10(9), 1950; https://doi.org/10.3390/plants10091950 - 18 Sep 2021
Cited by 5 | Viewed by 3075
Abstract
Red cabbage belongs to the economically important group of vegetable crops of the Brassicaceae family. A unique feature of this vegetable crop that distinguishes it from other members of the family is its unique biochemical composition characterized by high anthocyanin content, which gives [...] Read more.
Red cabbage belongs to the economically important group of vegetable crops of the Brassicaceae family. A unique feature of this vegetable crop that distinguishes it from other members of the family is its unique biochemical composition characterized by high anthocyanin content, which gives it antioxidant properties. The production mainly uses F1 hybrids, which require constant parental lines, requiring 6–7 generations of inbreeding. Culture of isolated microspores in vitro is currently one of the promising methods for the accelerated production of pure lines with 100% homozygosity. The aim of this study is to investigate the factors and select optimal parameters for successful induction of red cabbage embryogenesis in isolated microspore culture in vitro and subsequent regeneration of DH plants. As a result of research, for the first time, it was possible to carry out the full cycle of obtaining DH plants of red cabbage from the induction of embryogenesis to their inclusion in the breeding process. The size of buds containing predominantly microspores at the late vacuolated stage and pollen at the early bi-cellular stage has to be selected individually for each genotype, because the embryoid yield will be determined by the interaction of these two factors. In the six samples studied, the maximum embryoid yield was obtained from buds 4.1–4.4 mm and 4.5–5.0 mm long, depending on the genotype. Cultivation of microspores was carried out on liquid NLN culture medium with 13% sucrose. The maximum number of embryoids (173.5 ± 7.5 pcs./Petri dish) was obtained on culture medium with pH 5.8 and heat shock at 32 °C for 48 h. Successful embryoid development and plant regeneration by direct germination from shoot apical meristem were achieved on MS culture medium with 2% sucrose and 0.7% agar, supplemented with 6-benzylaminopurine at a concentration of 1 mg/L. Analysis of the obtained regenerated plants, which successfully passed the stage of adaptation to ex vitro conditions by flow cytometry, showed that most of them were doubled haploids (up to 90.9%). A low number of seeds produced by self-fertilization in DH plants was observed. Full article
(This article belongs to the Section Plant Development and Morphogenesis)
Show Figures

Figure 1

Figure 1
<p>Microspore division of red cabbage and embryoid development stages: (<b>a</b>) first divisions in microspore culture (3 days); (<b>b</b>) microspore divisions on day 10 of cultivation; (<b>c</b>) suspensor-like structure; (<b>d</b>) embryoid at the globular stage of development; (<b>e</b>) embryoid at the heart stage of development; (<b>f</b>) embryoid at the torpedo stage; (<b>g</b>) early cotyledon stage; (<b>h</b>) embryoids with overgrown cotyledons of various morphologies.</p>
Full article ">Figure 2
<p>Contribution of the factors «bud size» (<b>A</b>) and «genotype» (<b>B</b>) and the interaction of respective factors on in vitro embryogenesis induction of red cabbage in microspore culture in vitro. Note: ANOVA and Fisher test were used. Significant difference: Factor A: F<sub>observed</sub>99.01 &gt; F<sub>theor.</sub>3.10; Factor B: F<sub>observed</sub>84.02 &gt; F<sub>theor.</sub>2.87; A × B: F<sub>observed</sub>55.79 &gt; F<sub>theor.</sub>2.28.</p>
Full article ">Figure 3
<p>Influence of acidity of the culture medium on the induction of embryogenesis in red cabbage. Note: Values presented are means of three independent experiments with five replicates in each ± SE (standard error). One-way analysis of variance (ANOVA) was used, and means were compared using a Student’s <span class="html-italic">t</span> test with a probability of 95%. Values marked with a similar letter had no significant differences at <span class="html-italic">p</span> ≤ 0.05. Embryos visible to the naked eye were counted in a Petri dish (6 cm in diameter) at 30 days of cultivation.</p>
Full article ">Figure 4
<p>Influence of the duration of heat shock treatment of the in vitro culture microspores at 32°C on embryoid yield in responsive genotypes of red cabbage. Note: Values presented are means of three independent experiments with five replicates in each ± SE (standard error). One-way analysis of variance (ANOVA) was used, and means were compared using a Student’s <span class="html-italic">t</span> test with a probability of 95%. Values marked with a similar letter had no significant differences at <span class="html-italic">p</span> ≤ 0.01. Embryoids visible to the naked eye were counted in a Petri dish (6 cm in diameter) at 30 days of cultivation.</p>
Full article ">Figure 5
<p>Embryoid yield as a function of the duration of heat shock treatment at 32 °C in the genotypes of red cabbage: 1—cv. Gako (476), 2—b.a. 7-3, 3—F<sub>1</sub> Red Jewel (414); a—control (without temperature shock), b—24 h, c—48 h, d—72 h.</p>
Full article ">Figure 6
<p>Features of embryoid of red cabbage development on solid MS culture medium: (<b>a</b>,<b>b</b>) Embryoids on solid MS culture medium; (<b>c</b>) Embryoid dedifferentiated into callus; (<b>d</b>) The formation of secondary shoots from callus; (<b>e</b>) The formation of multiple secondary shoots from overgrown hypocotyl tissue; (<b>f</b>,<b>g</b>) Direct germination from the shoot apical meristem; (<b>h</b>) Rooting shoots on solid MS culture medium.</p>
Full article ">Figure 7
<p>Peculiarities of abnormal development of red cabbage embryoids: (<b>a</b>) normally developed embryoid on solid MS culture medium; (<b>b</b>) formation of secondary shoots on overgrown cotyledons; (<b>c</b>) distorted leaves; (<b>d</b>) lack of apical structures in developing embryoid; (<b>e</b>) morphogenetic development disorder of embryoid of cv. Kamennaya golovka on NLN culture medium; (<b>f</b>) developed globular structures of cv. Kamennaya golovka on solid MS culture medium.</p>
Full article ">Figure 8
<p>Flow cytometry histograms of red cabbage plants obtained from isolated microspore culture in vitro. External control samples were analyzed separately, without changing the cytometer settings. (<b>A</b>) The diploid (2n = 2x = 18) plant of red cabbage as a control; (<b>B</b>) tetraploid regenerated plant; (<b>C</b>) histogram of both the diploid control and tetraploid sample.</p>
Full article ">Figure 9
<p>Genotypic diversity of the obtained regenerated plants of red cabbage under in vivo conditions b.a. 7-3.</p>
Full article ">
19 pages, 4020 KiB  
Article
Genome-Wide Analysis of the IQM Gene Family in Rice (Oryza sativa L.)
by Tian Fan, Tianxiao Lv, Chuping Xie, Yuping Zhou and Changen Tian
Plants 2021, 10(9), 1949; https://doi.org/10.3390/plants10091949 - 18 Sep 2021
Cited by 8 | Viewed by 3194
Abstract
Members of the IQM (IQ-Motif Containing) gene family are involved in plant growth and developmental processes, biotic and abiotic stress response. To systematically analyze the IQM gene family and their expression profiles under diverse biotic and abiotic stresses, we identified 8 IQM genes [...] Read more.
Members of the IQM (IQ-Motif Containing) gene family are involved in plant growth and developmental processes, biotic and abiotic stress response. To systematically analyze the IQM gene family and their expression profiles under diverse biotic and abiotic stresses, we identified 8 IQM genes in the rice genome. In the current study, the whole genome identification and characterization of OsIQMs, including the gene and protein structure, genome localization, phylogenetic relationship, gene expression and yeast two-hybrid were performed. Eight IQM genes were classified into three subfamilies (I–III) according to the phylogenetic analysis. Gene structure and protein motif analyses showed that these IQM genes are relatively conserved within each subfamily of rice. The 8 OsIQM genes are distributed on seven out of the twelve chromosomes, with three IQM gene pairs involved in segmental duplication events. The evolutionary patterns analysis revealed that the IQM genes underwent a large-scale event within the last 20 to 9 million years. In addition, quantitative real-time PCR analysis of eight OsIQMs genes displayed different expression patterns at different developmental stages and in different tissues as well as showed that most IQM genes were responsive to PEG, NaCl, jasmonic acid (JA), abscisic acid (ABA) treatment, suggesting their crucial roles in biotic, and abiotic stress response. Additionally, a yeast two-hybrid assay showed that OsIQMs can interact with OsCaMs, and the IQ motif of OsIQMs is required for OsIQMs to combine with OsCaMs. Our results will be valuable to further characterize the important biological functions of rice IQM genes. Full article
Show Figures

Figure 1

Figure 1
<p>Phylogenetic tree and distribution of IQM protein from 7 plant species. (<b>A</b>) The full-length amino acid sequences of the IQM proteins from <span class="html-italic">Brachypodium distachyon</span>, <span class="html-italic">Oryza sativa</span>, <span class="html-italic">Arabidopsis thaliana</span>, <span class="html-italic">Populus trichocarpa</span>, <span class="html-italic">Zea mays</span>, <span class="html-italic">Glycine max</span> and <span class="html-italic">Solanum lycopersicum</span> were aligned using ClustalX 1.83, and the phylogenetic tree was constructed by the NJ method with MEGA X. The number of bootstrap values was 1000 replicates. Red—subfamily I; blue—subfamily II; green—subfamily III. IQM proteins from the same species were marked with geometrical patterning: hollow circle—<span class="html-italic">Arabidopsis thaliana</span>; filled circle—<span class="html-italic">Oryza sativa</span>; hollow triangle—<span class="html-italic">Brachypodium distachyon</span>; filled inverse-triangle—<span class="html-italic">Glycine max</span>; filled triangle—<span class="html-italic">Solanum lycopersicum</span>; filled quadrate—<span class="html-italic">Populus trichocarpa</span>; hollow quadrate—<span class="html-italic">Zea mays</span>. (<b>B</b>) A percentage representation of IQM proteins across the plant species in each subfamily.</p>
Full article ">Figure 2
<p>Phylogenetic relationship and exon–intron organization of rice <span class="html-italic">IQM</span> genes. The unrooted phylogenetic tree of eight rice IQM proteins was constructed by the NJ method with 1000 bootstrap replicates. Exons and introns are represented by yellow boxes and black lines, respectively. Untranslated regions (UTRs) are indicated by blue boxes. The sizes of each <span class="html-italic">IQM</span> gene can be estimated using the scale at the bottom.</p>
Full article ">Figure 3
<p>Motif distribution in IQM proteins of rice. Motifs of the OsIQM proteins were identified by the online MEME program. Each motif was represented by a different colored box with its serial number in central of the box. The colored boxes were ordered manually according to the results of the MEME server. The length of each colored box does not represent the actual motif size in the corresponding proteins.</p>
Full article ">Figure 4
<p>Chromosomal distribution and segmental duplication events of <span class="html-italic">IQM</span> genes in rice. (<b>A</b>) Eight <span class="html-italic">OsIQM</span> genes are mapped to 7 of the 12 rice chromosomes. The nearest SSR markers of eight <span class="html-italic">OsIQM</span> genes were mapped to 7 rice chromosomes. The duplicated paralogous pairs of <span class="html-italic">OsIQM</span> genes were connected with red lines. Chromosome numbers were located at the bottom of each vertical bar. Different colored circles on the left of the gene name represented corresponding subfamily which this gene belongs to. Red—subfamily I; blue—subfamily II; green—subfamily III. (<b>B</b>,<b>C</b>) Distribution of Ka/Ks values (<b>B</b>) and duplication date (MY) (<b>C</b>) were obtained from paralogous gene-pairs in the rice genome.</p>
Full article ">Figure 5
<p>Subcellular localization of OsIQMs in Arabidopsis protoplasts. Bars = 5 μm. Bright, bright-field image; GFP—GFP fluorescence image; Chlorophyll—chlorophyll autofluorescence; merged—merged bright-field, GFP fluorescence and chlorophyll autofluorescence images.</p>
Full article ">Figure 6
<p>OsIQMs interaction with OsCaMs and exploration of the calmodulin-binding site of OsIQMs. (<b>A</b>) The bait construct of pGBKT7-OsIQMs and prey construct were co-transformed into the yeast strain AH109 and then were examined on SD/-Trp/-Leu and SD/-Trp/-Leu/-His/-Ade plates. (<b>B</b>) The interaction between OsCaM1 and OsIQMs<sub>DelLQ</sub>. Positive control: pGBKT7-53 and pGADT7-T; Negative control: pGBKT7-Lam and pGADT7-T.</p>
Full article ">Figure 7
<p>Heat map of the real-time quantitative PCR (qRT-PCR) analysis results of <span class="html-italic">OsIQMs</span> genes across different tissues analyzed, with three biological and technical replicates. The scale representing the relative signal intensity values is shown above. 2L-R—roots of 2-leaf stage seedlings; 2L-S—2-leaf stage seedlings; 10L-SA—shoot apex of 10-leaf stage seedling; ≤1P—developing panicles with a length of ≤1 cm; BP—booting panicle.</p>
Full article ">Figure 8
<p>Heat map of the real-time quantitative PCR (qRT-PCR) analysis results of <span class="html-italic">OsIQMs</span> genes in shoots and roots under PEG and NaCl treatment, with three biological and technical replicates. The scale representing the relative signal intensity values is shown above.</p>
Full article ">Figure 9
<p>Heat map of the real-time quantitative PCR (qRT-PCR) analysis results of <span class="html-italic">OsIQMs</span> genes in leaves under ABA and MeJA treatment, with three biological and technical replicates. The scale representing the relative signal intensity values is shown above.</p>
Full article ">Figure 10
<p>Co-expression network of the eight OsIQMs. The numbers represent the corresponding <span class="html-italic">OsIQMs</span> genes. The KEGG pathways are highlighted as dots: red—nucleotide excision repair (osa03420); blue—plant–pathogen interaction (osa04626).</p>
Full article ">
14 pages, 2869 KiB  
Article
Beneficial Effects of the Five Isolates of Funneliformis mosseae on the Tomato Plants Were Not Related to Their Evolutionary Distances of SSU rDNA or PT1 Sequences in the Nutrition Solution Production
by Jingyu Feng, Zhe Huang, Yongbin Zhang, Wenjing Rui, Xihong Lei and Zhifang Li
Plants 2021, 10(9), 1948; https://doi.org/10.3390/plants10091948 - 18 Sep 2021
Cited by 4 | Viewed by 2255
Abstract
The symbiosis and beneficial effects of arbuscular mycorrhizal fungi (AM fungi) on plants have been widely reported; however, the effects might be unascertained in tomato industry production with coconut coir due to the nutrition solution supply, or alternatively with isolate-specific. Five isolates of [...] Read more.
The symbiosis and beneficial effects of arbuscular mycorrhizal fungi (AM fungi) on plants have been widely reported; however, the effects might be unascertained in tomato industry production with coconut coir due to the nutrition solution supply, or alternatively with isolate-specific. Five isolates of AM fungi were collected from soils of differing geographical origins, identified as Funneliformis mosseae and evidenced closing evolutionary distances with the covering of the small subunit (SSU) rDNA regions and Pi transporter gene (PT1) sequences. The effects of these isolates on the colonization rates, plant growth, yield, and nutrition uptake were analyzed in tomato nutrition solution production with growing seasons of spring–summer and autumn–winter. Our result indicated that with isolate-specific effects, irrespective of geographical or the SSU rDNA and PT1 sequences evolution distance, two isolates (A2 and NYN1) had the most yield benefits for plants of both growing seasons, one (E2) had weaker effects and the remaining two (A2 and T6) had varied seasonal-specific effects. Inoculation with effective isolates induced significant increases of 29.0–38.0% (isolate X5, T6) and 34.6–36.5% (isolate NYN1, T6) in the plant tissues respective nitrogen and phosphorus content; the plant biomass increased by 18.4–25.4% (isolate T6, NYN1), and yields increased by 8.8–12.0% (isolate NYN1, A2) compared with uninoculated plants. The maximum root biomass increased by 28.3% (isolate T6) and 55.1% (isolate E2) in the autumn–winter and spring–summer growing seasons, respectively. This strong effect on root biomass was even more significant in an industry culture with a small volume of substrate per plant. Our results reveal the potential benefits of using selected effective isolates as a renewable resource that can overcome the suppressing effects of sufficient nutrient availability on colonization rates, while increasing the yields of industrially produced tomatoes in nutrition solution with coconut coir. Full article
(This article belongs to the Special Issue Advances in Plant–Fungal Interactions)
Show Figures

Figure 1

Figure 1
<p>Pm1 sequences (<b>A</b>), Pm2 sequences (<b>B</b>) and AM fungi isolates identified on the basis of both PT1 and SSU rDNA (<b>C</b>) region sequences of the <span class="html-italic">Glomerales</span>. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the maximum composite likelihood method and are in the units of the number of base substitutions per site. Evolutionary analyses were conducted in MEGA X. (<b>A</b>) The length of partial sequence of PT1 gene is 320 bp, and the sum of branch length = 1.21661574; (<b>B</b>) The length of partial sequence of PT1 gene is about 680 bp, and the sum of branch length = 0.22664112. (<b>C</b>) The length of partial sequence of SSU fragment is about 1600 bp, and the sum of branch length = 126719649.</p>
Full article ">Figure 2
<p>A comparison of tomato root colonization (%) by isolates of arbuscular mycorrhizal fungi during the autumn–winter growing season (<b>A</b>) and the spring–summer season (<b>B</b>). Different letters indicate significant differences among isolates as revealed in a one-way ANOVA and followed by a Fisher’s least significant difference <span class="html-italic">t</span> test (LSD test) at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">
19 pages, 3748 KiB  
Article
The Effect of Water Deficit on Two Greek Vitis vinifera L. Cultivars: Physiology, Grape Composition and Gene Expression during Berry Development
by Anastasios Alatzas, Serafeim Theocharis, Dimitrios-Evangelos Miliordos, Konstantina Leontaridou, Angelos K. Kanellis, Yorgos Kotseridis, Polydefkis Hatzopoulos and Stefanos Koundouras
Plants 2021, 10(9), 1947; https://doi.org/10.3390/plants10091947 - 18 Sep 2021
Cited by 25 | Viewed by 4102
Abstract
Plants are exposed to numerous abiotic stresses. Drought is probably the most important of them and determines crop distribution around the world. Grapevine is considered to be a drought-resilient species, traditionally covering semiarid areas. Moreover, in the case of grapevine, moderate water deficit [...] Read more.
Plants are exposed to numerous abiotic stresses. Drought is probably the most important of them and determines crop distribution around the world. Grapevine is considered to be a drought-resilient species, traditionally covering semiarid areas. Moreover, in the case of grapevine, moderate water deficit is known to improve the quality traits of grape berries and subsequently wine composition. However, against the backdrop of climate change, vines are expected to experience sustained water deficits which could be detrimental to both grape quality and yield. The influence of water deficit on two Greek Vitis vinifera L. cultivars, ‘Agiorgitiko’ and ‘Assyrtiko’, was investigated during the 2019 and 2020 vintages. Vine physiology measurements in irrigated and non-irrigated plants were performed at three time-points throughout berry development (green berry, veraison and harvest). Berry growth and composition were examined during ripening. According to the results, water deficit resulted in reduced berry size and increased levels of soluble sugars, total phenols and anthocyanins. The expression profile of specific genes, known to control grape color, aroma and flavor was altered by water availability during maturation in a cultivar-specific manner. In agreement with the increased concentration of phenolic compounds due to water deficit, genes of the phenylpropanoid pathway in the red-skinned Agiorgitiko exhibited higher expression levels and earlier up-regulation than in the white Assyrtiko. The expression profile of the other genes during maturation or in response to water deficit was depended on the vintage. Full article
Show Figures

Figure 1

Figure 1
<p>Weather conditions at the experimental vineyards and vine water status (<b>A</b>). Evolution of monthly maximum temperature and total rainfall from March to October during the seasons 2019 and 2020; left panel: Drama (Assyrtiko—yellow bar), right panel: Kavala (Agiorgitiko—red bar), blue line: 2019, green line: 2020 (<b>B</b>). Evolution of daily maximum temperature during the summer months of 2019 and 2020; upper panel: Drama (Assyrtiko—yellow line), lower panel: Kavala (Agiorgitiko—red line). Black arrows indicate the days of sampling and blue arrows the period of veraison (<b>C</b>). Stem water potential (Ψstem) during ripening. Vertical bars indicate the standard deviation of mean values. IR, irrigated; NIR, non-irrigated.</p>
Full article ">Figure 1 Cont.
<p>Weather conditions at the experimental vineyards and vine water status (<b>A</b>). Evolution of monthly maximum temperature and total rainfall from March to October during the seasons 2019 and 2020; left panel: Drama (Assyrtiko—yellow bar), right panel: Kavala (Agiorgitiko—red bar), blue line: 2019, green line: 2020 (<b>B</b>). Evolution of daily maximum temperature during the summer months of 2019 and 2020; upper panel: Drama (Assyrtiko—yellow line), lower panel: Kavala (Agiorgitiko—red line). Black arrows indicate the days of sampling and blue arrows the period of veraison (<b>C</b>). Stem water potential (Ψstem) during ripening. Vertical bars indicate the standard deviation of mean values. IR, irrigated; NIR, non-irrigated.</p>
Full article ">Figure 2
<p>The effect of water deficit on grape berry characters during ripening. (<b>A</b>). Berry weight (<b>B</b>). Total soluble solids (°Brix). (<b>C</b>). Berry titratable acidity. Vertical bars indicate the standard deviation of mean values. IR, irrigated; NIR, non-irrigated.</p>
Full article ">Figure 2 Cont.
<p>The effect of water deficit on grape berry characters during ripening. (<b>A</b>). Berry weight (<b>B</b>). Total soluble solids (°Brix). (<b>C</b>). Berry titratable acidity. Vertical bars indicate the standard deviation of mean values. IR, irrigated; NIR, non-irrigated.</p>
Full article ">Figure 3
<p>The effect of water deficit on anthocyanins and total phenols during ripening. (<b>A</b>). berry total anthocyanins of Agiorgitiko. (<b>B</b>). berry total phenols of the two cultivars. Vertical bars indicate the standard deviation of mean values. IR, irrigated; NIR, non-irrigated.</p>
Full article ">Figure 4
<p>Classification using PCA plot with “irrigation treatment” as depended variable on quality berry characteristics (chemical and anthocyanins- total phenols) data from grape berries cv. Agiorgitico (<b>A</b>) and Assyrtiko (<b>B</b>) at harvest stage in 2019 and 2020 vintages. Variables in score plots are colored according to the irrigation treatment.</p>
Full article ">Figure 5
<p>Expression level of genes involved in phenylpropanoid pathway (VviPAL (<b>A</b>), VviC4H (<b>B</b>) and VviUFGT (<b>C</b>)) in Agiorgitiko (red bars) and Assyrtiko (yellow bars) during the two seasons of the experiment (2019 and 2020). The expression levels of irrigated plants are shown in dark blue and those under water deficit are shown in light blue. Vertical bars represent the standard deviation and asterisks indicate the statistically significant differences (Student’s <span class="html-italic">t</span>-test, * <span class="html-italic">p</span>-Value &lt; 0.05) between irrigated and non-irrigated plants of the same sampling period. The three samples (green berry, 1st; veraison, 2nd and harvest, 3rd) are indicated under each pair of graphs.</p>
Full article ">Figure 6
<p>Expression level of genes involved in the biosynthesis of various aroma compounds (VviDXS (<b>A</b>), VviCCD1 (<b>B</b>), VviLOXA (<b>C</b>) and VviGGT (<b>D</b>) in Agiorgitiko (red bars) and Asyrtiko (yellow bars) during the two seasons of the experiment (2019 and 2020). The expression levels of irrigated plants are shown in dark blue and those under water deficit are shown in light blue. Vertical bars represent the standard deviation and asterisks indicate the statistically significant differences (Student’s <span class="html-italic">t</span>-test, * <span class="html-italic">p</span>-Value &lt; 0.05) between irrigated and non-irrigated plants of the same sampling period. The three samplings (green berry, 1st; veraison, 2nd and harvest, 3rd) are indicated with numbers under each pair of graphs.</p>
Full article ">
13 pages, 1515 KiB  
Article
Combined Abiotic Stresses Repress Defense and Cell Wall Metabolic Genes and Render Plants More Susceptible to Pathogen Infection
by Nasser Sewelam, Mohamed El-Shetehy, Felix Mauch and Veronica G. Maurino
Plants 2021, 10(9), 1946; https://doi.org/10.3390/plants10091946 - 18 Sep 2021
Cited by 15 | Viewed by 3552
Abstract
Plants are frequently exposed to simultaneous abiotic and biotic stresses, a condition that induces complex responses, negatively affects crop productivity and is becoming more exacerbated with current climate change. In this study, we investigated the effects of individual and combined heat and osmotic [...] Read more.
Plants are frequently exposed to simultaneous abiotic and biotic stresses, a condition that induces complex responses, negatively affects crop productivity and is becoming more exacerbated with current climate change. In this study, we investigated the effects of individual and combined heat and osmotic stresses on Arabidopsis susceptibility to the biotrophic pathogen Pseudomonas syringae pv. tomato (Pst) and the necrotrophic pathogen Botrytiscinerea (Bc). Our data showed that combined abiotic and biotic stresses caused an enhanced negative impact on plant disease resistance in comparison with individual Pst and Bc infections. Pretreating plants with individual heat or combined osmotic-heat stress strongly reduced the expression of many defense genes including pathogenesis-related proteins (PR-1 and PR-5) and the TN-13 gene encoding the TIR-NBS protein, which are involved in disease resistance towards Pst. We also found that combined osmotic-heat stress caused high plant susceptibility to Bc infection and reduced expression of a number of defense genes, including PLANT DEFENSIN 1.3 (PDF1.3), BOTRYTIS SUSCEPTIBLE 1 (BOS1) and THIONIN 2.2 (THI2.2) genes, which are important for disease resistance towards Bc. The impaired disease resistance against both Pst and Bc under combined abiotic stress is associated with reduced expression of cell wall-related genes. Taken together, our data emphasize that the combination of global warming-associated abiotic stresses such as heat and osmotic stresses makes plants more susceptible to pathogen infection, thus threatening future global food security. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Effect of individual and combined osmotic and heat stresses on plant susceptibility to <span class="html-italic">Pseudomonas syringae</span> pv. tomato DC3000 (<span class="html-italic">Pst</span>). (<b>A</b>) Phenotype of stressed Arabidopsis (Col-0) plants. Plants were infected with <span class="html-italic">Pst</span> 16 h after the abiotic stress treatments. Photos were taken 3 d after <span class="html-italic">Pst</span>-inoculation. (<b>B</b>) Bacterial growth on leaves, quantified at 0 and 3 dpi (days post-infection) and expressed as Log2 values of colony forming units (CFU). O: osmotic stress, H: heat. Bars represent the mean and standard deviation of three biological replicates. Asterisks indicate significant differences, 1-way ANOVA; post-hoc LSD, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 2
<p>Effect of individual and combined osmotic and heat stresses on plant susceptibility to <span class="html-italic">Botrytis cinerea</span> (<span class="html-italic">Bc</span>). (<b>A</b>) Phenotype of stressed Arabidopsis (Col-0) plants. Plants were infected with <span class="html-italic">Bc</span> 16 h after the abiotic stress treatments. Photos were taken 3 d after <span class="html-italic">Bc</span>-inoculation. (<b>B</b>) Infection degree as lesion size on leaves, measured 3 dpi (days post-infection). O: osmotic stress, H: heat. Bars represent the mean and standard deviation of three biological replicates. Asterisks indicate significant differences, 1-way ANOVA; post-hoc LSD, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 3
<p>Effect of individual and combined osmotic, heat and <span class="html-italic">Pseudomonas syringae</span> pv. tomato DC3000 (<span class="html-italic">Pst</span>) treatments on the expression of <span class="html-italic">AtPR-1</span> (<b>A</b>), <span class="html-italic">AtPR-5</span> (<b>B</b>) and <span class="html-italic">AtTN-13</span> (<b>C</b>) genes in Arabidopsis (Col-0) plants. <span class="html-italic">Pst</span> was applied 16 h after the abiotic stress treatments. Leaves were sampled 48 h after MgCl<sub>2</sub> (mock) or <span class="html-italic">Pst</span> treatments. O: osmotic stress, H: heat. Data are represented as log2 fold change, normalized with reference gene (plant biomass expressed protein, expG) and relative to the mock-treated control. The zero-line represents MgCl<sub>2</sub>-infiltrated (mock) plants. Bars represent the mean and standard deviation of three biological replicates. Asterisks indicate significant differences, 1-way ANOVA; post-hoc LSD, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>Effect of individual and combined osmotic, heat and <span class="html-italic">Botrytis cinerea</span> (<span class="html-italic">Bc</span>) treatments on the expression of <span class="html-italic">AtPDF1-3</span> (<b>A</b>), <span class="html-italic">AtBOS1</span> (<b>B</b>) and <span class="html-italic">AtTHI2.2</span> (<b>C</b>) genes in Arabidopsis plants (Col-0). <span class="html-italic">Bc</span> was applied 16 h after the abiotic stress treatments. Leaves were sampled 48 h after ¼ strength PDB solution (mock) or <span class="html-italic">Bc</span> treatments. O: osmotic stress, H: heat. Data are represented as log2 fold change, normalized with reference gene (plant biomass expressed protein, expG) and relative to the control. The zero-line represents plants mock-treated with ¼ strength PDB solution. Bars represent the mean and standard deviation of three biological replicates. Asterisks indicate significant differences, 1-way ANOVA; post-hoc LSD, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5
<p>Effect of individual and combined osmotic, heat, <span class="html-italic">Pseudomonas syringae</span> pv. tomato DC3000 (<span class="html-italic">Pst</span>) (<b>A</b>,<b>B</b>) or <span class="html-italic">Botrytis cinerea</span> (<span class="html-italic">Bc</span>) (<b>A</b>,<b>D</b>) treatments on the expression of <span class="html-italic">AtXTH20</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">AtFLA2</span> (<b>B</b>,<b>D</b>) genes in Arabidopsis plants (Col-0). <span class="html-italic">Pst</span> and <span class="html-italic">Bc</span> were applied 16 h after the abiotic stress treatments. Leaves were sampled 48 h after mock or pathogen treatments. O: osmotic stress, H: heat. Data are represented as log2 fold change, normalized with reference gene (plant biomass expressed protein, expG) and relative to the control. The zero-line represents mock treated plants. Bars represent the mean and standard deviation of three biological replicates. Asterisks indicate significant differences, 1-way ANOVA; post-hoc LSD, * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
13 pages, 3604 KiB  
Article
The Impact of Different Types of Hydrocarbon Disturbance on the Resiliency of Native Desert Vegetation in a War-Affected Area: A Case Study from the State of Kuwait
by Eman Kalander, Meshal M. Abdullah and Jawad Al-Bakri
Plants 2021, 10(9), 1945; https://doi.org/10.3390/plants10091945 - 18 Sep 2021
Cited by 5 | Viewed by 2547
Abstract
This study assesses the impact of total petroleum hydrocarbon (TPH) concentration and soil parameters (heavy metals, chemical properties, and water-soluble boron) on the succession process of vegetation survival in the Al-Burgan oil field in Kuwait. A total of 145 soil samples were randomly [...] Read more.
This study assesses the impact of total petroleum hydrocarbon (TPH) concentration and soil parameters (heavy metals, chemical properties, and water-soluble boron) on the succession process of vegetation survival in the Al-Burgan oil field in Kuwait. A total of 145 soil samples were randomly collected from the three main types of hydrocarbon contamination, including dry oil lake (DOL), wet oil lake (WOL), and tarcrete. Sampling was also extended to noncontaminated bare soils that were considered reference sites. Remote-sensing data from Sentinel-2 were also processed to assess the level of contamination in relation to soil surface cover. The results showed that TPH concentration was significantly higher in WOL and DOL (87,961.4 and 35,740.6 mg/kg, respectively) compared with that in tarcrete (24,063.3 mg/kg), leading to a significant increase in soil minerals and heavy metals, greater than 50 mg/kg for Ba, and 10 mg/kg for V, Zn, Ni, and Cr. Such high concentrations of heavy metals massively affected the native vegetation’s resiliency at these sites (<5% vegetation cover). However, vegetation cover was significantly higher (60%) at tarcrete-contaminated sites, as TPH concentration was lower, almost similar to that in uncontaminated areas, especially at subsurface soil layers. The presence of vegetation at tarcrete locations was also associated with the lower concentration of Ba, V, Zn, Ni, and Cr. The growth of native vegetation was more likely related to the low concentration of TPH contamination at the subsurface layer of the soils in tarcrete sites, making them more suitable sites for restoration and revegetation planning. We concluded that further investigations are required to provide greater insight into the native plants’ phytoextraction potential and phytoremediation. Full article
Show Figures

Figure 1

Figure 1
<p>Al-Burgan oil field in southeast Kuwait, showing different types of hydrocarbon contamination: tarcrete, dry oil lakes, and wet oil lakes (KOC, 2019).</p>
Full article ">Figure 2
<p>Soil group and vegetation community maps of Al-Burgan oil field [<a href="#B17-plants-10-01945" class="html-bibr">17</a>,<a href="#B18-plants-10-01945" class="html-bibr">18</a>].</p>
Full article ">Figure 3
<p>Results of TPH analysis of soil samples for (<b>A</b>) all four categories, (<b>B</b>) DOL, (<b>C</b>) WOL, and (<b>D</b>) tarcrete for different soil depths.</p>
Full article ">Figure 4
<p>Vegetation cover distribution among three TPH-contaminated sites.</p>
Full article ">
10 pages, 1288 KiB  
Article
A Simple Method for the Acquisition and Transmission of Brassica Yellows Virus from Transgenic Plants and Frozen Infected Leaves by Aphids
by Deng-Pan Zuo, Meng-Jun He, Xiang-Ru Chen, Ru-Jian Hu, Tian-Yu Zhao, Xiao-Yan Zhang, Yan-Mei Peng, Ying Wang, Da-Wei Li, Jia-Lin Yu and Cheng-Gui Han
Plants 2021, 10(9), 1944; https://doi.org/10.3390/plants10091944 - 18 Sep 2021
Cited by 6 | Viewed by 2799
Abstract
Brassica yellows virus (BrYV) is a tentative species of the genus Polerovirus, which occurs widely, and mostly damages Brassicaceae plants in East Asia. Because BrYV cannot be transmitted mechanically, an insect-based transmission method is required for further virus research. Here, a reliable [...] Read more.
Brassica yellows virus (BrYV) is a tentative species of the genus Polerovirus, which occurs widely, and mostly damages Brassicaceae plants in East Asia. Because BrYV cannot be transmitted mechanically, an insect-based transmission method is required for further virus research. Here, a reliable and unrestricted method is described, in which non-viruliferous aphids (Myzus persicae) acquired BrYV from transgenic Arabidopsis thaliana, harboring the full-length viral genome germinated from seeds and its frozen leaves. The aphids then transmitted the virus to healthy plants. There was no significant difference in acquisition rates between fresh and frozen infected leaves, although the transmission rate from frozen infected leaves was lower compared to fresh infected leaves. This simple novel method may be used to preserve viral inocula, evaluate host varietal resistance to BrYV, and investigate interactions among BrYV, aphids, and hosts. Full article
(This article belongs to the Special Issue Plant Virus-Aphid Relationships)
Show Figures

Figure 1

Figure 1
<p>Agarose gel analysis of RT-PCR products using BrYV primers from <span class="html-italic">A. thaliana</span> plants inoculated by aphids. (<b>a</b>) Aphids that acquired the virus from frozen infected leaves; (<b>b</b>) aphids that acquired the virus from transgenic <span class="html-italic">A. thaliana</span> line 412 leaves. M: Marker (DCL 2000, Tsingke, Beijing, China); lines 1–16: aphids inoculated through <span class="html-italic">A. thaliana</span>; line 17: positive control.</p>
Full article ">Figure 2
<p>Symptoms and virus detection in <span class="html-italic">A. thaliana</span> inoculated with BrYV by aphids. (<b>a</b>) Typical symptoms of purple leaves on <span class="html-italic">A. thaliana</span> plants at 14 days post-inoculation by six viruliferous aphids. (<b>b</b>) Western blotting analyses of the accumulation of BrYV MP extracted from <span class="html-italic">A. thaliana</span> upper leaves.</p>
Full article ">
Previous Issue
Next Issue
Back to TopTop