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24 pages, 4613 KiB  
Article
Inhibition of Neural Crest Cell Migration by Strobilurin Fungicides and Other Mitochondrial Toxicants
by Viktoria Magel, Jonathan Blum, Xenia Dolde, Heidrun Leisner, Karin Grillberger, Hiba Khalidi, Iain Gardner, Gerhard F. Ecker, Giorgia Pallocca, Nadine Dreser and Marcel Leist
Cells 2024, 13(24), 2057; https://doi.org/10.3390/cells13242057 - 12 Dec 2024
Viewed by 519
Abstract
Cell-based test methods with a phenotypic readout are frequently used for toxicity screening. However, guidance on how to validate the hits and how to integrate this information with other data for purposes of risk assessment is missing. We present here such a procedure [...] Read more.
Cell-based test methods with a phenotypic readout are frequently used for toxicity screening. However, guidance on how to validate the hits and how to integrate this information with other data for purposes of risk assessment is missing. We present here such a procedure and exemplify it with a case study on neural crest cell (NCC)-based developmental toxicity of picoxystrobin. A library of potential environmental toxicants was screened in the UKN2 assay, which simultaneously measures migration and cytotoxicity in NCC. Several strobilurin fungicides, known as inhibitors of the mitochondrial respiratory chain complex III, emerged as specific hits. From these, picoxystrobin was chosen to exemplify a roadmap leading from cell-based testing towards toxicological predictions. Following a stringent confirmatory testing, an adverse outcome pathway was developed to provide a testable toxicity hypothesis. Mechanistic studies showed that the oxygen consumption rate was inhibited at sub-µM picoxystrobin concentrations after a 24 h pre-exposure. Migration was inhibited in the 100 nM range, under assay conditions forcing cells to rely on mitochondria. Biokinetic modeling was used to predict intracellular concentrations. Assuming an oral intake of picoxystrobin, consistent with the acceptable daily intake level, physiologically based kinetic modeling suggested that brain concentrations of 0.1–1 µM may be reached. Using this broad array of hazard and toxicokinetics data, we calculated a margin of exposure ≥ 80 between the lowest in vitro point of departure and the highest predicted tissue concentration. Thus, our study exemplifies a hit follow-up strategy and contributes to paving the way to next-generation risk assessment. Full article
(This article belongs to the Collection Feature Papers in ‘Cellular Pathology’)
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Graphical abstract
Full article ">Figure 1
<p><b>Outline of the screen process and follow-up studies.</b> (<b>A</b>) A tiered testing strategy was applied to identify compounds that inhibit neural crest migration in the cMINC assay. The decision boxes indicate subfigures with exemplary details. (<b>B</b>) Exemplification of data resulting from cMINC pre-screen 1 on “blinded compounds” BC1, BC2 and BC3 (blinded at this stage, only compound IDs given). All shown compounds advanced to the next tier. Data for pre-screen 1 of selected compounds are given in <a href="#app1-cells-13-02057" class="html-app">Figures S2 and S3</a> (1N, 4n). (<b>C</b>) Exemplification of data resulting from cMINC pre-screen 2 for compounds shown in B. At this stage, 3 concentrations were tested, and compounds were classified based on the rules shown in A. Data for pre-screen 2 of selected compounds are given in <a href="#app1-cells-13-02057" class="html-app">Figure S4</a> (≥2N, 3n). (<b>D</b>) Full concentration–response curve for compound BC2 obtained in the primary screen. A ratio of BMC<sub>25</sub> (M)/BMC<sub>10</sub> (V) was calculated, and resulted in a hit call (≥3N, 3n). (<b>E</b>) After testing completion of all tiers, data were deposited at the NIEHS database. Subsequently, compounds were unblinded (e.g., BC2 was picoxystrobin). The hits were followed up in an orthogonal assay. * an offset of BMC<sub>20</sub> (M) vs. BMC<sub>20</sub> (V) of 2 was considered as an alert; ** 21 compounds were DNT hit calls. Four additional compounds were categorized as “borderline compounds”. BC: blinded compound.</p>
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<p><b>Synopsis of screen data on mitochondria-related hits.</b> In total, 115 compounds were screened in the cMINC assay. After completion of the primary screen, i.e., the last tier of testing, 21 compounds were classified as hits. According to the published literature, 12 out of 21 specific hits from the cMINC screen targeted mitochondrial respiration. (<b>A</b>) Complexes (roman numbers) of the electron transfer chain are shown. The green ellipse symbolizes the effect of uncouplers. The assumed targets of 12 screen hits are indicated. (<b>B</b>) Concentration–response curve of fenpyroximate, an example of a complex I (cI) inhibitor. (<b>C</b>) Concentration–response curve of fluazinam, an example of an uncoupler. (<b>D</b>) Concentration–response curves of azoxystrobin and picoxystrobin, two examples of complex III (cIII) inhibitors. Data of other mitochondrial inhibitors are given in <a href="#app1-cells-13-02057" class="html-app">Figure S5</a>. All data are from ≥3 biological replicates. The data in the insert boxes are derived from curve fitting of the data. (<b>E</b>) Tabular overview of the 12 specific mitochondrial hit compounds and their respective BMC<sub>10</sub> (V) and BMC<sub>25</sub> (M). BMC<sub>25</sub> (M) was considered as the relevant threshold concentration for migration impairment. BMC<sub>10</sub> (V) was assumed to be the highest non-cytotoxic concentration. It was used as a reference point for follow-up testing in an orthogonal assay. *: no effect could be observed even at the highest tested concentration (HTC). To calculate the ratio, the HTC is used.</p>
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<p><b>Effect of mitochondrial toxicants on neural crest cell ATP levels and production.</b> (<b>A</b>) Effect of four mitochondrial toxicants on NCC ATP levels. ATP levels were measured at 1 h, 6 h and 24 h after addition to NCC cultures. A complete data set on other compounds is displayed in <a href="#app1-cells-13-02057" class="html-app">Figure S6</a>. Data are expressed as means ± SEM from three independent biological replicates and are shown relative to the solvent control. (<b>B</b>,<b>C</b>) The effects of toxicants on ATP production rates are shown. Cells were treated with single concentrations corresponding to the BMC<sub>10</sub> (V) of the cMINC screening (see <a href="#cells-13-02057-f002" class="html-fig">Figure 2</a>). Data on oxygen consumption rates under different metabolic conditions were used to calculate “glycoATP” as measure of the glycolytic ATP production rate and “mitoATP” as measure of mitochondrial ATP production rate. Dotted lines in (<b>B</b>) indicate the ATP production rate of cells exposed to solvent (0.1% DMSO). Data are expressed as means ± SD from two independent biological experiments.</p>
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<p><b>Effect of mitochondrial toxicants on neural crest cell oxygen consumption.</b> The oxygen consumption rate (OCR) of NCCs was recorded. After baseline measurements for 20 min, cells were exposed to mitotoxicants at a concentration corresponding to the BMC<sub>10</sub> (V) of the cMINC Screen (see <a href="#cells-13-02057-f002" class="html-fig">Figure 2</a>). Then, oligomycin, FCCP and rotenone/antimycin A were added sequentially, as indicated by dotted vertical lines. OCR data are normalized to the cell count and expressed as means ± SD from two independent biological experiments. (<b>A</b>) strobilurins/complex III inhibitors, (<b>B</b>) complex I inhibitors, (<b>C</b>) uncouplers.</p>
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<p><b>Hypothetical AOP linking mitochondrial inhibition of neural crest cells to developmental toxicity.</b> A putative AOP was constructed. Below the AOP, we indicated potential assays to test KEs and their linkage. We picked the complex III inhibitor picoxystrobin as an exemplifying compound. Thus, the respective picoxystrobin assay exposure times used in this study are shown. MIE: molecular initiating event; KE: key event; KER: key event relationship; darker blue boxes indicate assays used to establish the AOP; lighter blue boxes indicate assays that can confirm the AOP; AO: adverse outcome; TEP: toxicity endophenotype; cIII: mitochondrial complex III; OCR: oxygen consumption rate; Glu vs. Gal: glucose vs. galactose medium conditions; biomarker: could also be a modifying factor of KER2, but needs more research.</p>
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<p><b>Setup and performance of the neural crest transwell migration assay.</b> (<b>A</b>) Schematic illustration of the transwell migration assay. In the beginning, the NCCs are plated into the transwell inserts. The difference in FBS concentration between the upper and lower compartment stimulates NCCs to migrate through the membrane pores. Toxicants were applied in both compartments. After 6 h, the number of cells that reached the downward surface of the membrane was quantified. (<b>B</b>) Results of compound testing in the transwell assay: For calibration of the assay, cytochalasin D (CytoD) was used as positive control. Omission of FBS (no FBS) was used as second control for “inhibited” migration (shown in purple); pink: hit compounds of cMINC screen known to affect mitochondrial respiration; blue: negative controls of cMINC screen. All compounds were tested at a single concentration corresponding to the BMC<sub>10</sub> (V) from the cMINC screen (see <a href="#cells-13-02057-f002" class="html-fig">Figure 2</a>E). Transwell migration is measured as the ratio of “migrated cells in the presence of toxicants to the number of migrated cells in the absence of toxicant”. The dotted line at 75% indicates the threshold for classification of compounds as specific migration inhibitors in the transwell assay. The black line in the violin plots represents the median. The black dots represent data from individual experiments. Data are from ≥2 independent biological experiments. FBS: fetal bovine serum.</p>
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<p><b>Comparison of internal exposure estimates and primary effect potency.</b> (<b>A</b>) Schematic illustration of approaches to arrive at an estimate of a maximal (tolerable) exposure level of picoxystrobin. For picoxystrobin, no current data on consumption and food residues are available from EFSA. In an alternative approach, the lowest observed effect level (LOEL) of animal studies was used (9 mg/kg/day). By assuming a standard safety factor of 100, we estimated a human daily threshold dose of 0.09 mg/kg. In a second approach, we used the acceptable daily intakes (ADIs) suggested in a 2012 report of a joint meeting of FAO/WHO (REF: <a href="https://www.fao.org/3/i3111e/i3111e.pdf" target="_blank">https://www.fao.org/3/i3111e/i3111e.pdf</a> (accessed on 15 June 2024)). Both scenarios lead to the same upper exposure limit for picoxystrobin of 0.09 mg/kg (per day). (<b>B</b>) A physiologically based kinetic (PBK) model was established for picoxystrobin. The model was parametrized to reflect a population of pregnant subjects in gestational week 20, and their foetus, with a daily intake of 0.09 mg/kg (see (<b>A</b>)), was modelled. The predicted concentrations of picoxystrobin are shown. Data (green lines) are population averages of pregnant subjects (n = 100), aged between 18 and 45. The dashed lines indicate the 5th and 95th percentiles of the population. (<b>C</b>) The left graph shows the concentration–response curve for the oxygen consumption rate (OCR) of NCCs directly (20 min offset) after the picoxystrobin injection. Measurements were performed in glucose or galactose medium. Data are shown for two independent experiments. Each data point shown is the average of three technical replicates. The right graph shows the concentration–response curve of picoxystrobin in the transwell assay. The assay was performed either in glucose or galactose medium. Data are expressed as means ± SEM from three independent biological experiments. <sup>#</sup> LOEL of animal study is based on a 90-day dog study (REF: <a href="https://www.fao.org/3/i3111e/i3111e.pdf" target="_blank">https://www.fao.org/3/i3111e/i3111e.pdf</a> (accessed on 15 June 2024)). *<sup>,§</sup> There is also an old (no longer valid) value by EFSA of 0.043 mg/kg/day from the year 2004 [<a href="#B71-cells-13-02057" class="html-bibr">71</a>].</p>
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<p><b>Consideration of biokinetics for refined hazard (potency) estimates.</b> (<b>A</b>) Concentration–response curve of the oxygen consumption rate (OCR) in NCCs cultured in galactose medium after a 24 h treatment with picoxystrobin. The highest tested concentration was 2.8 µM (highest non-cytotoxic exposure). Data are shown for two independent experiments (as in <a href="#cells-13-02057-f007" class="html-fig">Figure 7</a>B). (<b>B</b>) The cMINC assay was performed as in <a href="#cells-13-02057-f001" class="html-fig">Figure 1</a>, but the NCCs were cultured in galactose medium. The insert box gives picoxystrobin potency data for migration (M) and cytotoxicity (V), and their ratio. Data are expressed as means ± SEM from seven independent experiments. (<b>C</b>) Schematic illustration of the distribution of picoxystrobin in a cell culture well according to the in silico biokinetics prediction model. Data for each compartment are given either as percentage (left) or as concentrations (right) for a nominal concentration of 1 µM. (<b>D</b>) Tabular overview of the distribution of picoxystrobin in the different compartments at a nominal concentration of 1 µM. Medium<sub>t</sub>: total medium; Medium<sub>b</sub>: bound in medium; Medium<sub>u</sub>: unbound in medium; Cells<sub>t</sub>: total amount in cells; Cells<sub>M</sub>: mitochondrial compartment; Cells<sub>L</sub>: lysosomal compartment; Cells<sub>R</sub>: “rest” of the cells. The correction factor indicates the change vs. the nominal concentration. * The enrichment factor is defined as the distribution ratio of the compound in the compartments vs. the medium. (<b>E</b>) Synoptic overview of predicted and measured concentrations of picoxystrobin. Data on internal exposure in humans (left) are from the PBK model (<a href="#cells-13-02057-f007" class="html-fig">Figure 7</a>). Right: the concentration ranges at which picoxystrobin showed adverse effects in the experiments (e.g., migration inhibition in NCCs). The margins of exposure (MoE) for the mother and the fetus were estimated from these data by forming the ratios of hazard concentrations and exposure concentrations. For the fetal hazard concentrations, we considered (i) an upper limit, defined by the results of (acutely) inhibited respiration (see <a href="#cells-13-02057-f007" class="html-fig">Figure 7</a>C) and (ii) a lower limit defined by the results of inhibited migration in Gal medium (see (<b>B</b>)). For the hazard concentration in an adult, the inhibited respiration after 24 h exposure was used (see (<b>A</b>)). Exposure data used here were the modelled fetal brain concentration (100 nM range) and the maternal plasma concentration (200–300 nM range) (see <a href="#cells-13-02057-f007" class="html-fig">Figure 7</a>B). The fetal brain concentration was also used for the biokinetics-corrected MoE; here, the modelled concentration in the cells was used instead of the nominal concentration (see (<b>C</b>)). Exposure[i]: internal exposure measure in concentration (molarity) units. MoE: ratio of “minimally toxic concentration” and exposure[i].</p>
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17 pages, 24651 KiB  
Article
Morphological Alterations and Oxidative Stress Induction in Danio rerio Liver After Short-Term Exposure to the Strobilurin Fungicide Dimoxystrobin
by Rachele Macirella, Abdalmoiz I. M. Ahmed, Federica Talarico, Naouel Gharbi, Marcello Mezzasalma and Elvira Brunelli
Environments 2024, 11(12), 282; https://doi.org/10.3390/environments11120282 - 7 Dec 2024
Viewed by 700
Abstract
Unlike many other fungicides, strobilurins are applied several times during the growing season for prophylactic purposes, thus heightening the risk of environmental contamination. In the EU, the dimoxystrobin approval period lasted for 17 years. It has been classified as moderately toxic to birds [...] Read more.
Unlike many other fungicides, strobilurins are applied several times during the growing season for prophylactic purposes, thus heightening the risk of environmental contamination. In the EU, the dimoxystrobin approval period lasted for 17 years. It has been classified as moderately toxic to birds and highly toxic to earthworms, and it is suspected to be carcinogenic to humans. However, it is still commercialized in several countries. The effects of dimoxystrobin are still largely underexplored, with only three studies reporting sublethal alterations in fish. Here, we evaluated for the first time the effects of dimoxystrobin on zebrafish liver after short-term exposure (96 h) to two sublethal and environmentally relevant concentrations (6.56 and 13.13 μg/L), providing evidence of morphological, functional, and ultrastructural modifications. We revealed severe alterations encompassing three reaction patterns: circulatory disturbance, regressive and progressive changes, which also showed a dose-dependent trend. Furthermore, we revealed that dimoxystrobin induced a significant increase in lipid content, a decrease in glycogen granules and affected the defensive response against oxidative stress through a significant downregulation of SOD and CAT. The information presented here demonstrates that the hazardous properties of dimoxystrobin may result from several pathological events involving multiple targets. Our results also emphasize the importance of the combined use of morphological, ultrastructural and functional investigation in ecotoxicological studies. Full article
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Figure 1

Figure 1
<p>Representative micrographs of <span class="html-italic">Danio rerio</span> liver under basal conditions. (<b>a</b>,<b>b</b>) Light micrographs showing sinusoids (s), veins (v) and bile ducts (bd) scattered in the parenchyma. Note the space of Disse that lies between the hepatocytes and the sinusoidal endothelium (black arrowheads). White arrows = lipid droplets; white arrowheads = glycogen granules; m = macrophages. (<b>c</b>,<b>d</b>) TEM micrographs showing numerous mitochondria (mt), the prominent endoplasmic reticulum (rer), the glycogen granules (white arrowheads) and a few lipid droplets (white arrow) in the cytoplasm of hepatocytes; black arrowheads = space of Disse. (<b>e</b>) Detail of bile duct (bd) enclosed by cuboidal epithelium; note the basal membrane (bm) and the thin layer of connective tissue (ct).</p>
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<p>Representative micrographs of <span class="html-italic">D. rerio</span> liver after exposure to the low concentration of dimoxystrobin. (<b>a</b>–<b>c</b>) Light micrographs showing lysed areas (black asterisks) and the congestion of blood vessels and sinusoids in the liver parenchyma (white asterisks). Note the proliferation of macrophages (m) and numerous necrotic hepatocytes (black arrows). White arrowheads = glycogen granules; white arrows = lipid droplets; white stars = bile duct obstruction. (<b>d</b>) TEM micrograph showing lacunae in the connective tissue surrounding the bile ducts (ct) and the degeneration of cuboidal cells (dc). (<b>e</b>,<b>f</b>) Necrotic cells are characterized by poor, pale-stained cytoplasm and the disorganization of cellular organelles (black arrows). (<b>g</b>) Detail of vessel congestion (white asterisk); note the detachment of the endothelium (ed) and the degeneration of the endothelial cell (hashtag).</p>
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<p>Representative micrographs of <span class="html-italic">D. rerio</span> liver after exposure to the high concentration of dimoxystrobin. (<b>a</b>–<b>c</b>) Light micrographs showing extensively lysed areas (black asterisks) and the proliferation of macrophages in both vessels and liver tissue (m). Note the degeneration of bile ducts (white stars) and the congestion of blood vessels (white asterisk). White arrows = lipid droplets. (<b>d</b>,<b>e</b>) TEM micrographs of necrotic cells showing fragmented rough endoplasmic reticulum (rer) and degenerating mitochondria (double arrows) and nuclei (black stars). (<b>f</b>) Detail of apoptotic cells (ap). (<b>g</b>) Melanomacrophage centers are characterized by a cytoplasm rich in heterogeneous electron-dense granules (mc). (<b>h</b>) Note the degeneration of the bile duct (white star) and the pyknotic nuclei of cuboidal cells (pn).</p>
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<p>The percentage of area occupied by lipid droplets (<b>a</b>) and glycogen granules (<b>b</b>) in <span class="html-italic">Danio rerio</span> liver after exposure to dimoxystrobin. Data are represented as mean ± SD. Asterisks indicate significant differences between the treatment and control groups. Hashtags show significant differences between the high- and low-concentration groups. **** <span class="html-italic">p</span> ≤ 0.0001; #### <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Relative gene expression of superoxide dismutase (<b>a</b>) and catalase (<b>b</b>) in <span class="html-italic">Danio rerio</span> liver after exposure to dimoxystrobin. Data are represented as mean ± SD. Asterisks indicate significant differences between the treatment and control groups. Hashtags indicate significant differences between the high- and low-concentration groups. ** <span class="html-italic">p</span> ≤ 0.01; **** <span class="html-italic">p</span> ≤ 0.0001; ### <span class="html-italic">p</span> ≤ 0.001; #### <span class="html-italic">p</span> ≤ 0.0001.</p>
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16 pages, 1831 KiB  
Article
Azoxystrobin Exposure Impacts on Development Status and Physiological Responses of Worker Bees (Apis mellifera L.) from Larval to Pupal Stages
by Xinle Duan, Huanjing Yao, Wenlong Tong, Manqiong Xiong, Shaokang Huang and Jianghong Li
Int. J. Mol. Sci. 2024, 25(21), 11806; https://doi.org/10.3390/ijms252111806 - 3 Nov 2024
Viewed by 944
Abstract
Honeybee larvae and pupae form the cornerstone of colony survival, development, and reproduction. Azoxystrobin is an effective strobilurin fungicide that is applied during the flowering stage for controlling plant pathogens. The contaminated nectar and pollen resulting from its application are collected by forager [...] Read more.
Honeybee larvae and pupae form the cornerstone of colony survival, development, and reproduction. Azoxystrobin is an effective strobilurin fungicide that is applied during the flowering stage for controlling plant pathogens. The contaminated nectar and pollen resulting from its application are collected by forager bees and impact the health of honeybee larvae and pupae. The current study evaluated the survival, development, and physiological effects of azoxystrobin exposure on the larvae and pupae of Apis mellifera worker bees. The field-recommended concentrations of azoxystrobin were found to suppress the survival indices and lifespan in the larval as well as pupal stages; moreover, the rates of the survival and pupation of larvae as well as the body weights of the pupae and newly-emerged adult bees were significantly reduced upon long-term exposure to azoxystrobin. In addition, azoxystrobin ingestion induced changes in the expression of genes critical for the development, immunity, and nutrient metabolism of larvae and pupae, although the expression profile of these genes differed between the larval and pupal stages. Results indicated the chronic toxicity of azoxystrobin on the growth and development of honeybee larvae and pupae, which would affect their sensitivity to pathogens and other external stresses during the development stage and the study will provide vital information regarding the pollination safety and rational use of pesticides. Full article
(This article belongs to the Special Issue Pesticide Exposure and Toxicity: 2nd Edition)
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Figure 1
<p>Variable relative expression level of two development-related genes (<span class="html-italic">ecr</span>, <span class="html-italic">usp</span>) in both larvae and pupae of <span class="html-italic">Apis mellifera</span>. Azoxystrobin interfered with the expression of <span class="html-italic">ecr</span> and <span class="html-italic">usp</span> in both larvae (one-way ANOVA, <span class="html-italic">ecr</span>, F(4,10) = 20.24, <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">usp</span>, F(4,10) = 8.94, <span class="html-italic">P</span> = 0.0024) and pupae (one-way ANOVA, <span class="html-italic">ecr</span>, F(4,10) = 44.91, <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">usp</span>, F(4,10) = 14.08, <span class="html-italic">p</span> = 0.0004).The data in the figure are mean ± SE (standard error) and the different lowercase letters above bars indicate significant difference among different azoxystrobin exposure treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Variable relative expression level of four immune-related genes (<span class="html-italic">abaecin</span>, <span class="html-italic">apidaecin</span>, <span class="html-italic">defensin1</span>, <span class="html-italic">hymenoptaecin</span>) in both larvae and pupae of <span class="html-italic">Apis mellifera</span>. Azoxystrobin disturbed the expression of <span class="html-italic">abaecin</span>, <span class="html-italic">apidaecin</span>, <span class="html-italic">defensin1,</span> and <span class="html-italic">hymenoptaecin</span> in both larvae (one-way ANOVA, <span class="html-italic">abaecin</span>, F(4,10) = 15.58, <span class="html-italic">p</span> = 0.0003; <span class="html-italic">apidaecin</span>, F(4,10) = 71.56, <span class="html-italic">p</span> &lt; 0.0001; defensin1, F(4,10) = 21.59, <span class="html-italic">p</span> &lt; 0.0001; and hymenoptaecin, F(4,10) = 5.66, <span class="html-italic">p</span> = 0.0121) and pupae (one-way ANOVA, <span class="html-italic">abaecin</span>, F(4,8) = 9.60, <span class="html-italic">p</span> = 0.0038; <span class="html-italic">apidaecin</span>, F(4,10) = 15.29, <span class="html-italic">p</span> = 0.0003; <span class="html-italic">defensin1</span>, F(4,10) = 65.54, <span class="html-italic">p</span> &lt; 0.0001; and <span class="html-italic">hymenoptaecin</span>, F(4,10) = 38.47, <span class="html-italic">p</span> &lt; 0.0001).The data in the figure are mean ± SE (standard error) and the different lowercase letters above bars indicate significant difference among different azoxystrobin exposure treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Variable relative expression level of five nutrient-related genes (<span class="html-italic">hex70b</span>, <span class="html-italic">hex100</span>, <span class="html-italic">ilp1</span>, <span class="html-italic">ilp2</span>, <span class="html-italic">vitellogenin</span>) in both larvae and pupae of <span class="html-italic">Apis mellifera</span>. Azoxystrobin hampered the expression of <span class="html-italic">hex70b</span>, <span class="html-italic">hex100</span>, <span class="html-italic">ilp1</span>, <span class="html-italic">ilp2,</span> and <span class="html-italic">vitellogenin</span> in both larvae (one-way ANOVA, <span class="html-italic">hex70b</span>, F(4,10) = 10.23, <span class="html-italic">p</span> = 0.0015; <span class="html-italic">hex100</span>, F(4,10) =11.97, <span class="html-italic">p</span> = 0.0008; <span class="html-italic">ilp1</span>, F(4,10) = 6.85, <span class="html-italic">p</span> = 0.0064; <span class="html-italic">ilp2</span>, F(4,10) = 18.30, <span class="html-italic">p</span> = 0.0001; and <span class="html-italic">vitellogenin</span>, F(4,10) = 21.06, <span class="html-italic">p</span> &lt; 0.0001) and pupae (one-way ANOVA, <span class="html-italic">hex70b</span>, F(4,10) = 4.74, <span class="html-italic">p</span> = 0.0210; <span class="html-italic">hex100</span>, F(4,10) = 25.97, <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">ilp1,</span> F(4,10) = 8.91, <span class="html-italic">p</span> = 0.0025; <span class="html-italic">ilp2</span>, F(4,10) = 43.47, <span class="html-italic">p</span> &lt; 0.0001; and <span class="html-italic">vitellogenin</span> F(4,10) = 34.50, <span class="html-italic">p</span> &lt; 0.0001). The data in the figure are mean ± SE (standard error) and the different lowercase letters above bars indicate significant difference among different azoxystrobin exposure treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of azoxystrobin on the ROS level and enzyme activity in both larvae and pupae of <span class="html-italic">Apis mellifera</span>. Azoxystrobin affected the ROS level and enzyme activity of CAT and SOD in both larvae (one-way ANOVA, ROS, F(4,10) = 1.58, <span class="html-italic">p</span> = 0.2539; CAT, F(4,10) = 1.02, <span class="html-italic">p</span> = 0.4410 and SOD, F(4,10) = 2.54, <span class="html-italic">p</span> = 0.1054) and pupae (one-way ANOVA, ROS, F(4,10) = 3.70, <span class="html-italic">p</span> = 0.0426; CAT, F(4,10) = 2.74, <span class="html-italic">p</span> = 0.0895 and SOD, F(4,10) = 0.68, <span class="html-italic">p</span> = 0.6222).The data in the figure are mean ± SE (standard error) and the different lowercase letters above bars indicate significant difference among different azoxystrobin exposure treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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17 pages, 5754 KiB  
Article
Climatic Favorability to the Occurrence of Hemileia vastatrix in Apt Areas for the Cultivation of Coffea arabica L. in Brazil
by Taís Rizzo Moreira, Alexandre Rosa dos Santos, Aldemar Polonini Moreli, Willian dos Santos Gomes, José Eduardo Macedo Pezzopane, Rita de Cássia Freire Carvalho, Kaíse Barbosa de Souza, Clebson Pautz and Lucas Louzada Pereira
Climate 2024, 12(8), 123; https://doi.org/10.3390/cli12080123 - 16 Aug 2024
Viewed by 1366
Abstract
In Brazil, coffee leaf rust (CLR), caused by the fungus Hemileia vastatrix, was first detected in Coffea arabica in January of 1970 in southern Bahia. Now widespread across all cultivation areas, the disease poses a significant threat to coffee production, causing losses [...] Read more.
In Brazil, coffee leaf rust (CLR), caused by the fungus Hemileia vastatrix, was first detected in Coffea arabica in January of 1970 in southern Bahia. Now widespread across all cultivation areas, the disease poses a significant threat to coffee production, causing losses of 30–50%. In this context, the objective of this study was to identify and quantify the different classes of occurrence of CLR in areas apt and restricted to the cultivation of Arabica coffee in Brazil for a more informed decision regarding the cultivar to be implanted. The areas of climatic aptitude for Arabica coffee were defined, and then, the climatic favorability for the occurrence of CLR in these areas was evaluated based on climatic data from TerraClimate from 1992 to 2021. The apt areas, apt with some type of irrigation, restricted, and with some type of restriction for the cultivation of Arabica coffee add up to 16.34% of the Brazilian territory. Within this 16.34% of the area of the Brazilian territory, the class of climatic favorability for the occurrence of CLR with greater representation is the favorable one. Currently, the disease is controlled with the use of protective and systemic fungicides, including copper, triazoles, and strobilurins, which must be applied following decision rules that vary according to the risk scenario, and according to the use of resistant cultivars. This study provides a basis for choosing the most suitable cultivars for each region based on the degree of CLR resistance. Full article
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<p>Study area. Source: Adapted from [<a href="#B25-climate-12-00123" class="html-bibr">25</a>].</p>
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<p>Methodological steps for obtaining meteorological data from TerraClimate.</p>
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<p>Methodological steps used for the development of the climatic zoning of Arabica coffee (<span class="html-italic">Coffea arabica</span> L.) in Brazil, where MedT_PRJ is projected average temperature, WD_PRJ is projected water deficit, MMA refers to the Ministry of the Environment, UCs refers to Conservation Units, and ZON is climatic zoning.</p>
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<p>(<b>A</b>) Climatic zoning for Arabica coffee; (<b>B</b>) favorability for the occurrence of coffee leaf rust.</p>
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<p>(<b>A</b>) Favorability for the occurrence of coffee leaf rust in areas apt and restricted for the cultivation of Arabica coffee; (<b>B</b>) areas of the favorability classes for the occurrence of coffee leaf rust; (<b>C</b>) percentage of Arabica coffee aptitude classes in each favorability class for the occurrence of coffee leaf rust.</p>
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<p>Favorability classes for the occurrence of coffee leaf rust by aptitude class (%).</p>
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15 pages, 647 KiB  
Article
Protection of Oats against Puccinia and Drechslera Fungi in Various Meteorological Conditions
by Jakub Danielewicz, Ewa Jajor, Joanna Horoszkiewicz, Marek Korbas, Andrzej Blecharczyk, Robert Idziak, Łukasz Sobiech, Monika Grzanka and Tomasz Szymański
Appl. Sci. 2024, 14(16), 7121; https://doi.org/10.3390/app14167121 - 14 Aug 2024
Viewed by 789
Abstract
Due to their multi-purpose use and, in many cases, lower requirements and financial outlays for cultivation, oats are an interesting crop. However, fungal diseases may contribute to significant declines in grain yields and quality. The aspects that may potentially influence this matter of [...] Read more.
Due to their multi-purpose use and, in many cases, lower requirements and financial outlays for cultivation, oats are an interesting crop. However, fungal diseases may contribute to significant declines in grain yields and quality. The aspects that may potentially influence this matter of fact include weather conditions. The aim of the study was to determine the severity of diseases caused by fungi in oat cultivation during the vegetation season. The next goal was to assess the efficacy of the selected active ingredients (a.i.) of fungicides from the chemical groups of triazoles and strobilurins in selected diseases’ control under various meteorological conditions. All of the fungicides were applied in the form of a spray treatment to reduce the severity of the diseases in the cultivation of different oat varieties. Husked and naked oat varieties were used. The health status of the oat plants was determined on the basis of a macroscopic evaluation of plants performed in accordance with the proper methodology. Field experiments were carried out under different weather conditions, which varied over the years during which the trials were conducted. Statistically significant differences were found in the reduction in infection for F and F1 leaves with D. avenae and P. coronata in comparison to the control treatment, regardless of the a.i. used. The use of a.i. tebuconazole (250 g/L), a.i. epoxiconazole (125 g/L), a.i. azoxystrobin (250 g/L) and a.i. picoxystrobin (250 g/L) enabled a reduction in the severity of oat helmintosporiosis in all years of the study for all the varieties analyzed. The efficacy was 72.4%, 74.2%, 71.5%, and 73.1%, respectively. Higher efficacy in reducing P. coronata was found in comparison with D. avenae. The obtained research results confirm the satisfactory efficacy of the above-mentioned active substances in reducing the fungi D. avenae and P. coronata. Full article
(This article belongs to the Special Issue Potential Impacts and Risks of Climate Change on Agriculture)
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<p><span class="html-italic">Drechslera avenae</span> and <span class="html-italic">Puccinia coronata</span> infestation and their control using the fungicides azoxystrobin, epoxiconazole, picoxystrobin, and tebuconazole.</p>
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22 pages, 1395 KiB  
Article
Exploring the Antifungal Activity of Moroccan Bacterial and Fungal Isolates and a Strobilurin Fungicide in the Control of Cladosporium fulvum, the Causal Agent of Tomato Leaf Mold Disease
by Zineb Belabess, Bilale Gajjout, Ikram Legrifi, Essaid Ait Barka and Rachid Lahlali
Plants 2024, 13(16), 2213; https://doi.org/10.3390/plants13162213 - 9 Aug 2024
Cited by 2 | Viewed by 927
Abstract
The causal agent of tomato leaf mold, Cladosporium fulvum, is prevalent in greenhouses worldwide, especially under high humidity conditions. Despite its economic impact, studies on antifungal agents targeting C. fulvum remain limited. This study evaluates biocontrol agents (BCAs) as alternatives to chemical [...] Read more.
The causal agent of tomato leaf mold, Cladosporium fulvum, is prevalent in greenhouses worldwide, especially under high humidity conditions. Despite its economic impact, studies on antifungal agents targeting C. fulvum remain limited. This study evaluates biocontrol agents (BCAs) as alternatives to chemical controls for managing this disease, alongside the strobilurin fungicide azoxystrobin. From a Moroccan collection of potential BCAs, five bacterial isolates (Alcaligenes faecalis ACBC1, Pantoea agglomerans ACBC2, ACBP1, ACBP2, and Bacillus amyloliquefaciens SF14) and three fungal isolates (Trichoderma spp. OT1, AT2, and BT3) were selected and tested. The in vitro results demonstrated that P. agglomerans isolates reduced mycelial growth by over 60% at 12 days post-inoculation (dpi), while Trichoderma isolates achieved 100% inhibition in just 5 dpi. All bacterial isolates produced volatile organic compounds (VOCs) with mycelial inhibition rates ranging from 38.8% to 57.4%. Likewise, bacterial cell-free filtrates significantly inhibited the pathogen’s mycelial growth. Greenhouse tests validated these findings, showing that all the tested isolates were effective in reducing disease incidence and severity. Azoxystrobin effectively impeded C. fulvum growth, particularly in protective treatments. Fourier transform infrared spectroscopy (FTIR) analysis revealed significant biochemical changes in the treated plants, indicating fungal activity. This study provides valuable insights into the efficacy of these BCAs and azoxystrobin, contributing to integrated management strategies for tomato leaf mold disease. Full article
(This article belongs to the Special Issue Fungus and Plant Interactions, 2nd Edition)
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<p>Spore germination inhibition rate (%) of <span class="html-italic">Cladosporium fulvum</span> in a total of 100 spores after incubation for 24 h, by cell-free filtrates of antagonistic bacteria at 100% concentration (<span class="html-italic">Bacillus amyloliquefaciens</span> SF14, <span class="html-italic">Alcaligenes faecalis</span> ACBC1, <span class="html-italic">Pantoea agglomerans</span> ACBC2, <span class="html-italic">P. agglomerans</span> ACBP1, <span class="html-italic">P. agglomerans</span> ACBP2, <span class="html-italic">Bacillus subtilis</span> Y1336, and <span class="html-italic">P. agglomerans</span> P10c). Data representing the average inhibition rate, with the same letter, are not significantly different according to the SNK test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Observation of disease severity and incidence on the leaf of tomato plants treated with the seven tested bacterial (<span class="html-italic">Bacillus amyloliquefaciens</span> SF14, <span class="html-italic">Alcaligenes faecalis</span> ACBC1, <span class="html-italic">Pantoea agglomerans</span> ACBC2, <span class="html-italic">P. agglomerans</span> ACBP1, <span class="html-italic">P. agglomerans</span> ACBP2, <span class="html-italic">Bacillus subtilis</span> Y1336, and <span class="html-italic">P. agglomerans</span> P10c) suspensions (10<sup>8</sup> CFU/mL) and inoculated with <span class="html-italic">Cladosporium fulvum</span>, after 30 days of incubation at 25 °C within greenhouse conditions. Control: positive control (pathogen only; <span class="html-italic">C. fulvum</span>). Asoxystrobin: plants treated with fungicide. Bar charts represent the mean value of disease severity of two trials over time with four replicates. Values of plant incidence and severity with the same letter (uppercase for incidence: A, B, etc.; lowercase for severity: a, b, etc.) were not significantly different according to the SNK test (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Linear regression of severity % (in vivo) and inhibition rate % (in vitro) of the seven tested bacteria (<span class="html-italic">Bacillus amyloliquefaciens</span> SF14, <span class="html-italic">Alcaligenes faecalis</span> ACBC1, <span class="html-italic">Pantoea agglomerans</span> ACBC2, <span class="html-italic">P. agglomerans</span> ACBP1, <span class="html-italic">P. agglomerans</span> ACBP2, <span class="html-italic">Bacillus subtilis</span> Y1336, and <span class="html-italic">P. agglomerans</span> P10c) and the commercial fungicide against <span class="html-italic">Cladosporium fulvum</span>.</p>
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<p>The average percentage of infected tomato plants (%) for different treatments (<span class="html-italic">Bacillus amyloliquefaciens</span> SF14, <span class="html-italic">Alcaligenes faecalis</span> ACBC1, <span class="html-italic">Pantoea agglomerans</span> ACBC2, <span class="html-italic">P. agglomerans</span> ACBP1, <span class="html-italic">P. agglomerans</span> ACBP2, <span class="html-italic">Bacillus subtilis</span> Y1336, <span class="html-italic">P. agglomerans</span> P10c, and the commercial fungicide against <span class="html-italic">C. fulvum</span>) recorded after 15 and 30 days of artificial inoculation incubated at 25 °C and 85% HR. Treatments with the same letter are not significantly different according to the SNK test (<span class="html-italic">p</span> ≤ 0.05).</p>
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16 pages, 2521 KiB  
Article
Synergistic Effects of Oligochitosan and Pyraclostrobin in Controlling Leaf Spot Disease in Pseudostellaria heterophylla
by Cheng Zhang, Chenglin Tang, Qiuping Wang, Yue Su and Qinghai Zhang
Antibiotics 2024, 13(2), 128; https://doi.org/10.3390/antibiotics13020128 - 27 Jan 2024
Cited by 1 | Viewed by 1262
Abstract
Pseudostellaria heterophylla (or Taizishen in Chinese), a medicinal, edible, and ornamental Chinese herb, is seriously affected by leaf spot disease (LSD). Oligochitosan is a natural agricultural antibiotic that is produced via the degradation of chitosan, which is deacetylated from chitin; pyraclostrobin is a [...] Read more.
Pseudostellaria heterophylla (or Taizishen in Chinese), a medicinal, edible, and ornamental Chinese herb, is seriously affected by leaf spot disease (LSD). Oligochitosan is a natural agricultural antibiotic that is produced via the degradation of chitosan, which is deacetylated from chitin; pyraclostrobin is a broad-spectrum and efficient strobilurin fungicide. In this work, the ability of pyraclostrobin, oligochitosan, and their formula to manage P. heterophylla leaf spot disease and their role in its resistance, leaf photosynthesis, agronomic plant traits, root growth, and root quality were studied. The results show that the joint application of oligochitosan and low-dosage pyraclostrobin could control LSD more efficiently, with control effects of 85.75–87.49% compared to high-dosage pyraclostrobin or oligochitosan alone. Concurrently, the application of this formula could more effectively improve the resistance, leaf photosynthesis, agronomic plant traits, root yield, and medicinal quality of P. heterophylla, as well as reduce the application of pyraclostrobin. This finding suggests that 30% pyraclostrobin suspension concentrate (SC) 1500-time + 5% oligosaccharin aqueous solutions (AS) 500-time diluent can be recommended for use as a feasible formula to manage LSD and reduce the application of chemical pesticides. Full article
(This article belongs to the Section Antibiotics Use and Antimicrobial Stewardship)
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<p>The effects of pyraclostrobin and oligochitosan on the phenols (<b>A</b>), flavonoids (<b>B</b>), soluble proteins (<b>C</b>), and MDA (<b>D</b>) of leaves. The error bar indicates the standard deviation; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level, see below.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the SOD (<b>A</b>), POD (<b>B</b>), PAL (<b>C</b>), and PPO (<b>D</b>) activities of leaves; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the chlorophyll (<b>A</b>), Pn (<b>B</b>), Gs (<b>C</b>), Tr (<b>D</b>), Ci (<b>E</b>), and WUE (<b>F</b>) of leaves; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the total plant length (<b>A</b>), leaf area (<b>B</b>), stem diameter (<b>C</b>), aboveground biomass (<b>D</b>), underground biomass (<b>E</b>), and total biomass (<b>F</b>) of plants; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the total plant length (<b>A</b>), leaf area (<b>B</b>), stem diameter (<b>C</b>), aboveground biomass (<b>D</b>), underground biomass (<b>E</b>), and total biomass (<b>F</b>) of plants; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the fresh weight (<b>A</b>), root length (<b>B</b>), dry weight (<b>C</b>), and root diameter (<b>D</b>) of roots; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on the fresh weight (<b>A</b>), root length (<b>B</b>), dry weight (<b>C</b>), and root diameter (<b>D</b>) of roots; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on ash (<b>A</b>), total saponins (<b>B</b>), polysaccharide (<b>C</b>), and extractum (<b>D</b>) of roots; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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<p>The effects of pyraclostrobin and oligochitosan on ash (<b>A</b>), total saponins (<b>B</b>), polysaccharide (<b>C</b>), and extractum (<b>D</b>) of roots; different lowercase letters indicate significant differences at the 5% (<span class="html-italic">p</span> &lt; 0.05) level.</p>
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19 pages, 3560 KiB  
Article
Detection of Strobilurin Fungicides in Trout Streams within an Agricultural Watershed
by Cole R. Weaver, Meghan Brockman, Neal D. Mundahl, William A. Arnold, Dylan Blumentritt, Will L. Varela and Jeanne L. Franz
Hydrology 2024, 11(2), 13; https://doi.org/10.3390/hydrology11020013 - 25 Jan 2024
Cited by 1 | Viewed by 2359
Abstract
The use of strobilurin fungicides in agriculture has increased steadily during the past 25 years, and although strobilurins have minimal water solubility, they regularly appear in surface waters, at times in concentrations approaching toxic levels for aquatic life. The present study examined concentrations [...] Read more.
The use of strobilurin fungicides in agriculture has increased steadily during the past 25 years, and although strobilurins have minimal water solubility, they regularly appear in surface waters, at times in concentrations approaching toxic levels for aquatic life. The present study examined concentrations of strobilurin fungicides in designated trout streams draining an agricultural watershed in southeastern Minnesota, USA, where fungicides may have contributed to a recent fish kill. Water samples (n = 131) were analyzed for the presence of five different strobilurin fungicides (azoxystrobin, fluoxastrobin, picoxystrobin, pyraclostrobin, trifloxystrobin). Samples were collected via grab and automated sampling during baseflow and stormflow events throughout an entire crop-growing season from sites on each of the three forks of the Whitewater River. Detection frequencies for the five strobilurins ranged from 44 to 82%. Fluoxastrobin and pyraclostrobin concentrations were above known toxic levels in 3% and 15% of total samples analyzed, respectively. The highest concentrations were detected in mid-summer (mid-June to mid-August) samples, coincident with likely strobilurin applications. Lower concentrations were present in water samples collected during the nonapplication periods in spring and fall, suggesting groundwater–stream interactions or steady leaching of fungicides from watershed soils or stream sediments. Further study is required to determine strobilurin concentrations in sediments, soils, and groundwater. Better tracking and guidance regarding strobilurin use is necessary to adequately protect aquatic life as fungicide use continues to increase. Full article
(This article belongs to the Special Issue Hydrological Processes in Agricultural Watersheds)
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<p>Map of the Whitewater River watershed indicating upstream (1) and downstream (2) locations of water sampling sites on the North Fork (N), Middle Fork (M), and South Fork (S). The small inset shows the location of Minnesota (in black) within North America, and the larger inset highlights the study watershed (in white) in southeastern Minnesota, USA.</p>
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<p>Total sales for five strobilurin fungicides in Minnesota, 1997–2021, based on data collected by the Minnesota Department of Agriculture [<a href="#B40-hydrology-11-00013" class="html-bibr">40</a>].</p>
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<p>Hydrographs from April to October 2019 for sampling locations in the Whitewater River in southeastern Minnesota. Automated sampling periods are highlighted by blue and orange rectangles. Blue boxes were stormflow event samples analyzed for fungicides and general chemistry parameters, whereas orange boxes were only analyzed for general chemistry parameters.</p>
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<p>Box and whisker plots of baseflow (low-flow) and stormflow concentrations for (<b>a</b>) azoxystrobin, (<b>b</b>) fluoxastrobin, (<b>c</b>) picoxystrobin, (<b>d</b>) pyraclostrobin, and (<b>e</b>) trifloxystrobin from the Whitewater River, 2019. Boxes represent 75th and 25th percentiles, midlines are medians, whiskers are 10th and 90th percentiles, and dots represent the lowest 10% and highest 10% of individual values. Detections BMRL were set to ½ MRL (see <a href="#sec3-hydrology-11-00013" class="html-sec">Section 3</a> above).</p>
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<p>Fungicide concentrations ((<b>a</b>) azoxystrobin, (<b>b</b>) fluoxastrobin, (<b>c</b>) picoxystrobin, (<b>d</b>) pyraclostrobin, and (<b>e</b>) trifloxystrobin) for water samples collected from the rising limb (hatched bars), peak (white bars), and falling limb (gray bars) of stormflow hydrographs, Whitewater River, 2019. Black dots indicate streamflows (cfs = cubic feet/s), with sample dates and stream sites (N = North Fork, M = Middle Fork, S = South Fork, 1 = upstream site, 2 = downstream site) designated along the X axes.</p>
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<p>Fungicide concentrations ((<b>a</b>) azoxystrobin, (<b>b</b>) fluoxastrobin, and (<b>c</b>) trifloxystrobin) for water samples collected from upstream (gray bars) and downstream (white bars) sites in the three forks (North, Middle, South) of the Whitewater River during stormflow events, 2019. Streamflows (cfs = cubic feet/s are indicated by black circles (upstream sites) and white squares (downstream sites). Flow gauges were offline for South Fork sites. Sample dates and times are designated along the X axes.</p>
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<p>Fungicide concentrations ((<b>a</b>) azoxystrobin, (<b>b</b>) fluoxastrobin, and (<b>c</b>) trifloxystrobin) for water samples collected from upstream (gray bars) and downstream (white bars) sites in the three forks (North, Middle, South) of the Whitewater River during stormflow events, 2019. Streamflows (cfs = cubic feet/s are indicated by black circles (upstream sites) and white squares (downstream sites). Flow gauges were offline for South Fork sites. Sample dates and times are designated along the X axes.</p>
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12 pages, 1542 KiB  
Article
Impact of Exposure to Pyraclostrobin and to a Pyraclostrobin/Boscalid Mixture on the Mitochondrial Function of Human Hepatocytes
by Mélina Carbone, Barbara Mathieu, Yasmine Vandensande and Bernard Gallez
Molecules 2023, 28(20), 7013; https://doi.org/10.3390/molecules28207013 - 10 Oct 2023
Cited by 5 | Viewed by 1783
Abstract
Fungicides are widely used in agriculture for crop protection. Succinate dehydrogenase inhibitors (SDHIs) and strobilurins inhibit mitochondria electron transport chain (ETC) in fungi, by blocking complex II and complex III, respectively. Questions regarding their selectivity of action for fungi have been raised in [...] Read more.
Fungicides are widely used in agriculture for crop protection. Succinate dehydrogenase inhibitors (SDHIs) and strobilurins inhibit mitochondria electron transport chain (ETC) in fungi, by blocking complex II and complex III, respectively. Questions regarding their selectivity of action for fungi have been raised in the literature, and we previously showed that boscalid and bixafen (SDHIs) alter the mitochondrial function of human hepatocytes. Here, we analyzed the impact of the exposure of human hepatocytes to pyraclostrobin, a fungicide belonging to the class of strobilurins. Using electron paramagnetic resonance (EPR), we observed a decrease in oxygen consumption rate (OCR) and an increase in mitochondrial superoxide levels after 24 h exposure to 0.5 µM concentration. As a consequence, the content in ATP amount in the cells was reduced, the ratio reduced/oxidized glutathione was decreased, and a decrease in cell viability was observed using three different assays (PrestoBlue, crystal violet, and annexin V assays). In addition, as SDHIs and strobilurins are commonly associated in commercial preparations, we evaluated a potential “cocktail” toxic effect. We selected low concentrations of boscalid (0.5 µM) and pyraclostrobin (0.25 µM) that did not induce a mitochondrial dysfunction in liver cells when used separately. In sharp contrast, when both compounds were used in combination at the same concentration, we observed a decrease in OCR, an increase in mitochondrial superoxide production, a decrease in the ratio reduced/oxidized glutathione, and a decrease in cell viability in three different assays. Full article
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Graphical abstract
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<p>Site of action of fungicides (SDHIs and strobilurins) on the electron transport chain. SDHIs inhibit complex II while strobilurins inhibit complex III.</p>
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<p>Fungicides analyzed in the present study for their effect on the mitochondrial function of human hepatocytes. <b>Left</b>: pyraclostrobin, a strobilurin. <b>Right</b>: boscalid, a SDHI.</p>
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<p>Dose–effect relationship of pyraclostrobin on the oxygen consumption rate established by EPR oximetry. Bars represent mean ± SEM. N = 3, (**): <span class="html-italic">p</span> &lt; 0.01, (****): <span class="html-italic">p</span> &lt; 0.0001, ns: non significant.</p>
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<p>Impact of 24 h exposure to pyraclostrobin 0.5 µM on HepG2 cells. CTR = control, OLIGO = oligomycin, BSO = buthionine-sulfoximine, PYRA = pyraclostrobin 0.5 µM. (<b>A</b>) Level of ATP, N = 4; (<b>B</b>) level of mitochondrial superoxide radical, N = 3; (<b>C</b>) level of total glutathione (reduced GSH and oxidized GSSG forms), N = 5; (<b>D</b>) ratio between the levels of reduced GSH and oxidized GSSG forms, N = 5; (<b>E</b>) level of early apoptotic cells assessed by flow cytometry, N = 6; (<b>F</b>) cell viability assessed by the crystal violet assay, N = 3; (<b>G</b>) viability assessed by the PrestoBlue mitochondrial function assay, N = 4. Bars represent mean ± SEM. (*): <span class="html-italic">p</span> &lt; 0.05, (**): <span class="html-italic">p</span> &lt; 0.01, (***): <span class="html-italic">p</span> &lt; 0.001, (****): <span class="html-italic">p</span> &lt; 0.0001, ns: non significant.</p>
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<p>Effect of the exposure of HepG2 cells to a pyraclostrobin 0.25 µM/boscalid 0.5 µM mixture. CTR = control, OLIGO = oligomycin, BSO = buthionine-sulfoximine, BOSCA 0.5 µM = boscalid 0.5 µM, PYRA 0.25 µM = pyraclostrobin 0.25 µM, MIX = pyraclostrobin 0.25 µM/boscalid 0.5 µM mixture. (<b>A</b>) OCR (as % of control), N = 3; (<b>B</b>) level of mitochondrial superoxide radical (compared to control), N= 3; (<b>C</b>) ATP level (compared to control), N = 4; (<b>D</b>) level of total glutathione (reduced GSH and oxidized GSSG forms); (<b>E</b>) ratio between the levels of reduced GSH and oxidized GSSG forms, N = 5; (<b>F</b>) level of early apoptotic cells assessed by flow cytometry, N = 6; (<b>G</b>) cell viability assessed by the crystal violet assay, N = 3; (<b>H</b>) viability assessed by the PrestoBlue mitochondrial function assay, N = 4. Bars represent mean ± SEM. Symbols used for the comparison with the control: (*): <span class="html-italic">p</span> &lt; 0.05, (**): <span class="html-italic">p</span> &lt; 0.01, (***): <span class="html-italic">p</span> &lt; 0.001, (****): <span class="html-italic">p</span> &lt; 0.0001, ns: not significant. Comparison between exposure to individual fungicide and mixture of fungicides: (###): <span class="html-italic">p</span> &lt; 0.001, (####): <span class="html-italic">p</span> &lt; 0.0001.</p>
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20 pages, 5011 KiB  
Article
Genomic Based Analysis of the Biocontrol Species Trichoderma harzianum: A Model Resource of Structurally Diverse Pharmaceuticals and Biopesticides
by Suhad A. A. Al-Salihi and Fabrizio Alberti
J. Fungi 2023, 9(9), 895; https://doi.org/10.3390/jof9090895 - 31 Aug 2023
Cited by 3 | Viewed by 2112
Abstract
Fungi represents a rich repository of taxonomically restricted, yet chemically diverse, secondary metabolites that are synthesised via specific metabolic pathways. An enzyme’s specificity and biosynthetic gene clustering are the bottleneck of secondary metabolite evolution. Trichoderma harzianum M10 v1.0 produces many pharmaceutically important molecules; [...] Read more.
Fungi represents a rich repository of taxonomically restricted, yet chemically diverse, secondary metabolites that are synthesised via specific metabolic pathways. An enzyme’s specificity and biosynthetic gene clustering are the bottleneck of secondary metabolite evolution. Trichoderma harzianum M10 v1.0 produces many pharmaceutically important molecules; however, their specific biosynthetic pathways remain uncharacterised. Our genomic-based analysis of this species reveals the biosynthetic diversity of its specialised secondary metabolites, where over 50 BGCs were predicted, most of which were listed as polyketide-like compounds associated clusters. Gene annotation of the biosynthetic candidate genes predicted the production of many medically/industrially important compounds including enterobactin, gramicidin, lovastatin, HC-toxin, tyrocidine, equisetin, erythronolide, strobilurin, asperfuranone, cirtinine, protoilludene, germacrene, and epi-isozizaene. Revealing the biogenetic background of these natural molecules is a step forward towards the expansion of their chemical diversification via engineering their biosynthetic genes heterologously, and the identification of their role in the interaction between this fungus and its biotic/abiotic conditions as well as its role as bio-fungicide. Full article
(This article belongs to the Special Issue Genomics Analysis of Fungi)
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<p><span class="html-italic">Trichoderma</span> species SMs core enzymes and their associated BGCs.</p>
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<p>Maximum likelihood tree of five conserved genes (chitinase gene {chi18-5}, endochitinase1 {ech1}, β-tubulin, glyceraldehyde-3-phosphate dehydrogenase {gpdh}, and translation elongation factor {tef} of <span class="html-italic">T. harzianum</span> M10 v1.0, <span class="html-italic">T. harzianum</span> CBS226.95, <span class="html-italic">T. harzianum</span> TR274, <span class="html-italic">T. harzianum</span> T22, and <span class="html-italic">T. afroharzianum</span>. Nodes labels indicate species taxon-protein ID-gene function.</p>
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<p>Maximum likelihood tree of the core NRPS/NRPS-like protein sequences of <span class="html-italic">T. harzianum</span> M10 v1.0 and other experimentally described NRPSs of different microbial species. Nodes labels indicate species taxon-protein ID-chemical. <span class="html-italic">T. harzianum</span> M10 predicted proteins are in red.</p>
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<p>Organization of the genetic structure of the predicted non-ribosomal peptide BGCs of <span class="html-italic">Trichoderma harzianum</span> M10 v1.0 Sizes and directions of arrows represent different genes sizes and their 5′-3′ direction. Full description of gene function is provided in <a href="#app1-jof-09-00895" class="html-app">Tables S2–S20 in the supplementary information</a>.</p>
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<p>Maximum likelihood tree of the core PKS/PKS-like of <span class="html-italic">T. harzianum</span> M10 v1.0 and other experimentally described NRPS protein sequences of different microbial species Nodes labels indicate species taxon-protein ID-chemical. <span class="html-italic">T. harzianum</span> M10 predicted proteins are in red.</p>
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<p>Organization of the genetic structure of the predicted polyketide synthase (PKS/PKS-like) BGCs of <span class="html-italic">Trichoderma harzianum</span> M10 v1.0. Sizes and directions of arrows represent different gene sizes and their 5′-3′ direction. Full description of gene function is provided in <a href="#app1-jof-09-00895" class="html-app">Tables S21–S41 in the supplementary information</a>.</p>
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<p>Organization of the genetic structure of the predicted hybrid polyketide synthase (HrPKS) BGCs of <span class="html-italic">Trichoderma harzianum</span> M10 v1.0. Sizes and directions of arrows represent different genes sizes and their 5′-3′ direction. Full description of gene function is provided in <a href="#app1-jof-09-00895" class="html-app">Tables S42–S47 in the supplementary information</a>.</p>
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<p>Maximum likelihood tree of the core terpene cyclase (TC) of the <span class="html-italic">T. harzianum</span> M10 v1.0 and other experimentally described TC protein sequences of different microbial species. Nodes labels indicate Species taxon-protein ID-chemical. <span class="html-italic">T. harzianum</span> M10 predicted proteins are in red.</p>
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<p>Organization of the genetic structure of the predicted terpene cyclase (TC) BGCs of <span class="html-italic">Trichoderma harzianum</span> M10 v1.0. Sizes and directions of arrows represent different gene sizes and their 5′-3′ direction. Full description of gene function is provided in <a href="#app1-jof-09-00895" class="html-app">Tables S48–S52 in the supplementary information</a>.</p>
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<p>Organization of the genetic structure of the predicted dimethylallyltryptophan (DMAT) BGC of <span class="html-italic">Trichoderma harzianum</span> M10 v1.0. Sizes and directions of arrows represent different gene sizes and their 5′-3′ direction. Full description of gene function is provided in <a href="#app1-jof-09-00895" class="html-app">Table S53 in the supplementary information</a>.</p>
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<p>Cblaster analysis of three types of SMs enzymes that had high percentage matches with the <span class="html-italic">T. harzianum</span> M10 v1.0 SMs enzymes in our phylogenetic analysis. (<b>A</b>) Eight NRPS genes of <span class="html-italic">T. harzianum</span> were used as query, three of which had homologous sequence with <span class="html-italic">T. asperellum</span>. (<b>B</b>) Eight PKS genes of <span class="html-italic">T. harzianum</span> were used as query, five of which had homologous sequence with <span class="html-italic">T. gracile</span>. (<b>C</b>) Five TC genes of <span class="html-italic">T. harzianum</span> were used as query, none of which had sequences similarity with other organisms on NCBI database. A darker shade of blue denotes a higher percentage identity of the query in the output cluster, while the number within each box, resembles the counts of hits for a specific query sequence in the co-localized region. Orange and red borders indicate that similar genes found in multiple clusters.</p>
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10 pages, 923 KiB  
Article
Fungicidal Protection as Part of the Integrated Cultivation of Sugar Beet: An Assessment of the Influence on Root Yield in a Long-Term Study
by Iwona Jaskulska, Jarosław Kamieniarz, Dariusz Jaskulski, Maja Radziemska and Martin Brtnický
Agriculture 2023, 13(7), 1449; https://doi.org/10.3390/agriculture13071449 - 22 Jul 2023
Cited by 1 | Viewed by 1179
Abstract
Despite the major role of non-chemical treatments in integrated plant protection, fungicides often need to be applied as a crop protection treatment in sugar beet farming. They should be used based on a good understanding of the requirements and effectiveness of the active [...] Read more.
Despite the major role of non-chemical treatments in integrated plant protection, fungicides often need to be applied as a crop protection treatment in sugar beet farming. They should be used based on a good understanding of the requirements and effectiveness of the active ingredients. In 11-year field experiments, the effect that one and three foliar applications of fungicides containing various active ingredients (triazoles, benzimidazoles, strobilurines) had on sugar beet root yields was assessed, depending on various thermal and rainfall conditions. It was found that in eight of the 11 years, foliar application of fungicides increased yields compared to unprotected plants, and three foliar treatments during the growing season were more effective than a single application. The negative correlation of the root yield of fungicidally protected plants with total June rainfall was weaker than the same relationship for unprotected plants. At the same time, the positive correlation between the yield of fungicidally protected sugar beets and average June air temperature was stronger than the same relationship for unprotected plants. The research results indicate the need to conduct long-term field experiments and to continuously improve integrated production principles for sugar beet, especially regarding the rational use of pesticides. Full article
(This article belongs to the Special Issue Sustainable and Ecological Agriculture in Crop Production)
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<p>Average root yield in 2006–2016, by fungicidal protection method (* letters indicate statistically significant differences, Tukey’s test at <span class="html-italic">p</span> = 0.05).</p>
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<p>Variation coefficient of root yield in 2006–2016, by fungicidal protection method.</p>
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18 pages, 2742 KiB  
Article
Exploration of Novel Scaffolds Targeting Cytochrome b of Pyricularia oryzae
by Cecilia Pinna, Tommaso Laurenzi, Fabio Forlani, Luca Palazzolo, Claire Beatrice Nolan, Michael S. Christodoulou, Paolo Cortesi, Andrea Pinto, Ivano Eberini, Andrea Kunova and Sabrina Dallavalle
Int. J. Mol. Sci. 2023, 24(3), 2705; https://doi.org/10.3390/ijms24032705 - 31 Jan 2023
Cited by 2 | Viewed by 2139
Abstract
The fulfilment of the European “Farm to Fork” strategy requires a drastic reduction in the use of “at risk” synthetic pesticides; this exposes vulnerable agricultural sectors—among which is the European risiculture—to the lack of efficient means for the management of devastating diseases, thus [...] Read more.
The fulfilment of the European “Farm to Fork” strategy requires a drastic reduction in the use of “at risk” synthetic pesticides; this exposes vulnerable agricultural sectors—among which is the European risiculture—to the lack of efficient means for the management of devastating diseases, thus endangering food security. Therefore, novel scaffolds need to be identified for the synthesis of new and more environmentally friendly fungicides. In the present work, we employed our previously developed 3D model of P. oryzae cytochrome bc1 (cyt bc1) complex to perform a high-throughput virtual screening of two commercially available compound libraries. Three chemotypes were selected, from which a small collection of differently substituted analogues was designed and synthesized. The compounds were tested as inhibitors of the cyt bc1 enzyme function and the mycelium growth of both strobilurin-sensitive (WT) and -resistant (RES) P. oryzae strains. This pipeline has permitted the identification of thirteen compounds active against the RES cyt bc1 and five compounds that inhibited the WT cyt bc1 function while inhibiting the fungal mycelia only minimally. Serendipitously, among the studied compounds we identified a new chemotype that is able to efficiently inhibit the mycelium growth of WT and RES strains by ca. 60%, without inhibiting the cyt bc1 enzymatic function, suggesting a different mechanism of action. Full article
(This article belongs to the Special Issue Antifungal Compounds - Natural and Synthetic Approaches)
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<p>Structures, top-scoring docking poses and glide scores of compounds <b>1a</b>, <b>2a</b>, and <b>3</b> (orange sticks); protein (grey cartoons), interacting residues (green sticks), hydrogen bonds (yellow dashes), and π-π interactions (cyan dashes).</p>
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<p>Enzymatic inhibition of cytochrome <span class="html-italic">bc1</span> by the compounds. (<b>A</b>) NADH:cyt <span class="html-italic">c</span> oxidoreductase activity of the mitochondrial fractions from strobilurin-sensitive A2.5.2 (green bars) and -resistant PO21_01 (red bars) strains was assayed in the presence of compounds. Enzyme inhibition is reported as a percentage (I%) of the control activity where the tested compound is replaced by DMSO, the diluent used for compound stocks. AZX, azoxystrobin. Error bars represent standard deviation of the mean. (<b>B</b>) Graphical representation of the inhibitory action of compounds on the mitochondrial cyt <span class="html-italic">bc1</span> enzyme function of the strobilurin-sensitive A2.5.2 and -resistant PO21_01 strains. In italics, no statistically relevant inhibition for both strains (<span class="html-italic">p</span> &gt; 0.01); in green, statistically relevant inhibition for the strobilurin-resistant strain (<span class="html-italic">p</span> &lt; 0.01); in boldfaced green, statistically relevant inhibition for both strains (<span class="html-italic">p</span> &lt; 0.01); in regular typing, statistically relevant inhibition for strobilurin-sensitive strain (<span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Inhibition of mycelium growth of <span class="html-italic">Pyricularia oryzae</span> QoI-sensitive A2.5.2. (green) and -resistant PO21_01 (red) strains on malt extract agar by the tested compounds of the series <b>1</b>–<b>6</b> and azoxystrobin (AZX) at a concentration 25 mg/L a.i. Error bars represent the standard deviation of the mean.</p>
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<p>Inhibition of mycelium growth of six pathogenic fungal species on malt extract agar by the tested compounds (25 mg/L). (<b>a</b>–<b>e</b>) groups <b>1</b>–<b>6</b> of the tested compounds. Error bars represent the standard deviation of the mean.</p>
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<p>Synthesis of compounds <b>1a</b>–<b>e</b>. Reagents and conditions: (<b><span class="html-italic">a</span></b>) glyoxylic acid, AcOH, reflux, 16 h; (<b><span class="html-italic">b</span></b>) NH<sub>4</sub>OH; N<sub>2</sub>H<sub>4</sub>·H<sub>2</sub>O, reflux, 2 h (10–70%).</p>
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<p>Synthesis of compounds <b>2a</b>–<b>f, 5a</b>–<b>d,</b> and <b>6a</b>–<b>h</b>. Reagents and conditions: (<b><span class="html-italic">a</span></b>) 4-haloaniline, HATU, DIPEA, rt, N<sub>2</sub>, 16 h (40–51%); (<b><span class="html-italic">b</span></b>) (i) SOCl<sub>2</sub>, DMF (cat.), reflux, 90 min; (ii) 4-haloaniline, TEA, DCM, rt, N<sub>2</sub>, 16 h (69–70%); (<b><span class="html-italic">c</span></b>) 4-halobenzoyl chloride, TEA, DCM, rt, N<sub>2</sub>, 2 h (30–90%); (<b><span class="html-italic">d</span></b>) 4-halobenzoyl chloride, TEA, toluene, rt, N<sub>2</sub>, 3 h (40–97%).</p>
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<p>Synthesis of compound 3. Reagents and conditions: (<b><span class="html-italic">a</span></b>) TEA, dry DCM, N<sub>2</sub>, rt, 3 h (55%); (<b><span class="html-italic">b</span></b>) NH<sub>2</sub>-NH<sub>2</sub> ·H<sub>2</sub>O, EtOH, reflux, 16 h (89%); (<b><span class="html-italic">c</span></b>) 2-chlorobenzaldehyde, EtOH, reflux, 6 h (72%).</p>
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15 pages, 1206 KiB  
Article
Effect of Fungicide Protection of Sugar Beet Leaves (Beta vulgaris L.): Results of Many Years Experiments
by Iwona Jaskulska, Dariusz Jaskulski, Jarosław Kamieniarz, Maja Radziemska, Martin Brtnický and Emilian Różniak
Agronomy 2023, 13(2), 346; https://doi.org/10.3390/agronomy13020346 - 25 Jan 2023
Cited by 4 | Viewed by 2348
Abstract
The rosette is the above-ground morphological part of sugar beet in the first year of its ontogenesis. The size and health of the leaves determine photosynthesis and the production of sugars and their redistribution throughout the plant and thus the yields and quality [...] Read more.
The rosette is the above-ground morphological part of sugar beet in the first year of its ontogenesis. The size and health of the leaves determine photosynthesis and the production of sugars and their redistribution throughout the plant and thus the yields and quality of individual organs. One means of protecting leaves is to apply fungicides. Their efficacy and effects of use depend on, among other things, the active ingredient and number of sprayings, as well as environmental conditions. The aim of the 11-year study was to evaluate the effect that the foliar application of fungicides in sugar beet cultivation had on leaf infestation and damage, the Leaf Area Index (LAI), leaf yield, and a plant foliage index (FI) expressed as the ratio of leaf mass to root mass. In field experiments, six treatments were compared: a control without fungicides; three sprayings with triazoles, benzimidazoles, and strobilurins as the active ingredients; and a single application of tebuconazole, epoxiconazole, strobilurin, and an epoxiconazole + thiophanate-methyl mixture. The efficacy and effects of the fungicide protection depended on its method of application and environmental conditions. Applying fungicides weakened the positive correlation of sugar beet leaf infestation and leaf damage to the sum of precipitation relative to the unprotected plants. In ten of the eleven years of the study, fungicide protection significantly increased leaf yields of plants and decreased their FI. In only three years did three sprayings increase leaf yield more than single sprayings, and, in six years, at least one of the active ingredients or the epoxiconazole + thiophanate-methyl mixture was as effective as triple sprayings. It is therefore warranted to permanently monitor the condition of plants and to select the fungicide application method depending on conditions. Full article
(This article belongs to the Section Pest and Disease Management)
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<p>Leaf Area Index (±SD) of sugar beet before first fungicide spraying (LAI-1) and before harvest (LAI-2) in the study years; a–f—the same letters indicate no significant differentiation.</p>
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<p>Leaf Area Index—LAI-2 (±SD) for sugar beet depending on fungicidal protection method, averaged for the study years; a, b, c—the same letters indicate no significant differentiation.</p>
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12 pages, 662 KiB  
Article
Application of Strobilurins and Carboxamides Improves the Physiology and Productivity of Tomato Plants in a Protected Environment
by Walter Jacobelis, Eduardo Santana Aires, Andrew Kim Lopes Ferraz, Isabelly Cristina da Silva Marques, Francisco Gilvan Borges Ferreira Freitas, Dayane Mércia Ribeiro Silva, Elizabeth Orika Ono and João Domingos Rodrigues
Horticulturae 2023, 9(2), 141; https://doi.org/10.3390/horticulturae9020141 - 20 Jan 2023
Cited by 1 | Viewed by 1577
Abstract
The use of fungicides from the strobilurin and carboxamide groups demonstrates an effect on photosynthetic efficiency by increasing CO2 assimilation and, consequently, plant productivity, due to better a physiological performance. The objective was to evaluate the effect of the application of these [...] Read more.
The use of fungicides from the strobilurin and carboxamide groups demonstrates an effect on photosynthetic efficiency by increasing CO2 assimilation and, consequently, plant productivity, due to better a physiological performance. The objective was to evaluate the effect of the application of these fungicides on the physiology and yield of tomato plants. A randomized block design was used with six treatments and five blocks: control, azoxystrobin (75 g ha−1), boscalid (75 g ha−1), pyraclostrobin (75 g ha−1), fluxapyroxad (75 g ha−1) and fluxapyroxad + pyraclostrobin (50.1 g and 99.9 g ha−1). Different physiological, biochemical and antioxidant enzymatic parameters were evaluated. The application of fungicides increased the CO2 assimilation by 64% and the production per plant by 91%. The activity of the nitrate reductase enzyme increased by 1.69 times, the antioxidant system by 3.68 times and photosynthetic pigments by 1.16 times under the action of the studied fungicides with respect to the control. Therefore, the application of fungicides favored the development of the tomato plant, especially with the use of Pyraclostrobin (75 g ha−1). Full article
(This article belongs to the Section Vegetable Production Systems)
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<p>Weight loss on different evaluation days of tomato fruits treated with physiological effect fungicides. Different lowercase letters in the columns in the same evaluation period differ statistically using the Scott Knott test at 5% probability. CONT—Control; AZO—azoxystrobin; BOS—boscalid; PIR—pyraclostrobin; FLU—fluxapyroxad; FLU + PIR—fluxapyroxad + pyraclostrobin.</p>
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16 pages, 2107 KiB  
Article
The Interaction of Fungicide and Nitrogen for Aboveground Biomass from Flag Leaf Emergence and Grain Yield Generation under Tan Spot Infection in Wheat
by Matías Schierenbeck, María Constanza Fleitas and María Rosa Simón
Plants 2023, 12(1), 212; https://doi.org/10.3390/plants12010212 - 3 Jan 2023
Cited by 2 | Viewed by 1969
Abstract
Pyrenophora tritici-repentis (Died.) Drechs., the causal agent of tan spot, is one of the most serious biotic diseases affecting wheat worldwide (Triticum aestivum L.). Studying the interaction between different fungicide mixtures and nitrogen (N) rates under tan spot outbreaks is of key [...] Read more.
Pyrenophora tritici-repentis (Died.) Drechs., the causal agent of tan spot, is one of the most serious biotic diseases affecting wheat worldwide (Triticum aestivum L.). Studying the interaction between different fungicide mixtures and nitrogen (N) rates under tan spot outbreaks is of key importance for reducing aboveground biomass and grain yield losses. Taking this into account, our study took a mechanistic approach to estimating the combined effect of different fungicides and N fertilization schemes on the severity of tan spot, green leaf area index, SPAD index, aboveground biomass dynamics, and yield in a wheat crop affected at the reproductive stage. Our results indicated that reductions in green leaf area, healthy area duration (HAD), and the chlorophyll concentration (SPAD index) due to increases in the percentage of damage led to decreases in biomass production (−19.2%) and grain yield (−48.1%). Fungicides containing triazole + strobilurin + carboxamides (TSC) or triazole + strobilurin (TS) combined with high N doses showed the most efficient disease control. The positive physiological effects of TSC fungicides, such as extending the green leaf area, are probably responsible for the greater production of aboveground biomass (+29.3%), as well as the positive effects on grain yield (+15.8%) with respect to TS. Both fungicide treatments increased grains per spike, kernel weight, spikes m−2, grains m−2, and grain yield. The increase in biomass in the TSC tended to cause slighter non-significant increases in grains per spike, 1000-kernel weight and grain yield compared with TS. The linear regression revealed positive associations among the extension of HAD and biomass (+5.88 g.m−2.HAD−1.day−1), grain yield (+38 kg.ha.HAD−1.day−1), and grain number (100.7 grains m2.HAD−1.day−1), explained by the interactions of high N doses and fungicides. Our study is the first report of the positive effect of TSC fungicides with high N doses on grain yield related-traits under tan spot infections in wheat. Full article
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<p>Environmental conditions during 2014 and 2015. (<b>a</b>) Mean temperature (°C) and humidity (%); (<b>b</b>) Precipitation.</p>
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<p>Means of (<b>a</b>) severity, (<b>b</b>) green leaf area index (GLAI), and (<b>c</b>) SPAD values for the fungicide × N treatment interaction at three growth stages (GS39, GS60, and GS82). Matching letters at the same growth stage are not statistically different (LSD <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Means of aboveground biomass (AGB) at three growth stages (GS 39, GS 60, and GS 95) for (<b>a</b>) the fungicide treatments and (<b>b</b>) N dose treatments. Matching letters within same growth stages are not statistically different (LSD <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Means of grain yield for the fungicide × N interaction. Matching letters are not statistically different (<span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Linear regression of HAD (healthy area duration) with (<b>a</b>) severity at GS 82, (<b>b</b>) SPAD at GS 82, (<b>c</b>) aboveground biomass at GS 95 (AGB95), (<b>d</b>) grain yield, (<b>e</b>) spikes per m<sup>2</sup> (SPKN), (<b>f</b>) grains per spike<sup>1</sup> (GPS), (<b>g</b>) grains per m<sup>2</sup> (GN), and (<b>h</b>) 1000-kernel weight (TKW). Points represent the means of the interaction between the N dose and fungicide for three replications.</p>
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