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Keywords = Puccinia hordei

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28 pages, 3330 KiB  
Article
Exploring Wild Hordeum spontaneum and Hordeum marinum Accessions as Genetic Resources for Fungal Resistance
by Jaroslava Ovesna, Jana Chrpova, Lucia Kolarikova, Pavel Svoboda, Alena Hanzalova, Jana Palicova and Vojtech Holubec
Plants 2023, 12(18), 3258; https://doi.org/10.3390/plants12183258 - 13 Sep 2023
Cited by 1 | Viewed by 1319
Abstract
Crop Wild Relatives (CWRs), as potential sources of new genetic variants, are being extensively studied to identify genotypes that will be able to confer resistance to biotic stresses. In this study, a collection of barley wild relatives was assessed in the field, and [...] Read more.
Crop Wild Relatives (CWRs), as potential sources of new genetic variants, are being extensively studied to identify genotypes that will be able to confer resistance to biotic stresses. In this study, a collection of barley wild relatives was assessed in the field, and their phenotypic variability was evaluated using a Barley Description List, reflecting the identified ecosites. Overall, the CWRs showed significant field resistance to various fungal diseases. To further investigate their resistance, greenhouse tests were performed, revealing that several CWRs exhibited resistance against Fusarium culmorum, Pyrenophora teres, and Puccinia hordei G.H. Otth. Additionally, to characterize the genetic diversity within the collection, DNA polymorphisms at 21 loci were examined. We successfully employed barley-specific SSR markers, confirming their suitability for identifying H. spontaneum and even H. marinum, i.e., perennial species. The SSR markers efficiently clustered the investigated collection according to species and ecotypes, similarly to the phenotypic assessment. Moreover, SSR markers associated with disease resistance revealed different alleles in comparison to those found in resistant barley cultivars. Overall, our findings highlight that this evaluated collection of CWRs represents a valuable reservoir of genetic variability and resistance genes that can be effectively utilized in breeding programs. Full article
(This article belongs to the Section Plant Genetic Resources)
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Figure 1

Figure 1
<p>Map of <span class="html-italic">Hordeum spontaneum</span> (stars) and <span class="html-italic">H. marinum</span> (empty pointers) accessions used for the investigation.</p>
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<p>Association of 24 <span class="html-italic">Hordeum</span> samples based on a Gower distance dissimilarity matrix and average linkage clustering, along with the values of observed morphological, biological, and phenotypic descriptors. The two groups within the plot denoted by {1} and {2} represent the two main clusters in the dendrogram. The color keys on the left and top sides of the plot indicate the color scale and corresponding values for the selected characteristics. HSp in the row labels denotes the <span class="html-italic">H. spontaneum</span> samples, while the HMaM and HMaG labels highlight the <span class="html-italic">H. marinum</span> ssp. <span class="html-italic">marinum</span> and ssp. <span class="html-italic">gussoneanum</span> samples, respectively. Origin stands for abbreviation for country of origin of respective accession: AFG—Afghanistan; AZE—Azerbaijan; ESP—Spain; IRN—Iran; ISR—Israel; JOR—Jordan; MNG—Mongolia; PRT—Portugal; SYR—Syria; TJK—Tajikistan; TUR—Turkey.</p>
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<p>Principal coordinate analysis based on a Gower dissimilarity matrix of phenological estimates for 24 accessions of <span class="html-italic">H. spontaneum</span> and <span class="html-italic">H. marinum</span>. The plot reveals the relationship between <span class="html-italic">H. spontaneum</span> accessions (represented in groups P1–P5) and <span class="html-italic">H. marinum</span> accessions (in groups P6–P7), and the diversity within each species. Origin stands for abbreviation for country of origin of respective accession: AFG—Afghanistan; AZE—Azerbaijan; ESP—Spain; IRN—Iran; ISR—Israel; JOR—Jordan; MNG—Mongolia; PRT—Portugal; SYR—Syria; TJK—Tajikistan; TUR—Turkey.</p>
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<p>Association between the 24 <span class="html-italic">Hordeum</span> accessions, based on a simple matching dissimilarity matrix and unweighted neighbor-joining clustering method. The numbers above each node represent the bootstrap level of confidence (based on 1000 bootstrap replicates). The information at the end of each branch denotes the identification number of the sample, its country of origin, and the habitats of the samples. Numbers enclosed within curly brackets represent 7 main clades. Country of origin of respective accession is stated by its abbreviation: AFG—Afghanistan; AZE—Azerbaijan; ESP—Spain; IRN—Iran; ISR—Israel; JOR—Jordan; MNG—Mongolia; PRT—Portugal; SYR—Syria; TJK—Tajikistan; TUR—Turkey.</p>
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<p>Principal coordinate analysis of 24 <span class="html-italic">H. spontaneum</span> and <span class="html-italic">H. marinum</span> accessions using SSR markers, based on a simple matching dissimilarity matrix and unweighted neighbor-joining algorithm with 1000 bootstrap replicates. The figure demonstrates the relationship between <span class="html-italic">H. spontaneum</span> (in S1–S4) and <span class="html-italic">H. marinum</span> (S5) accessions, and the diversity within species. Country of origin of respective accession is stated by abbreviations: AFG—Afghanistan; AZE—Azerbaijan; ESP—Spain; IRN—Iran; ISR—Israel; JOR—Jordan; MNG—Mongolia; PRT—Portugal; SYR—Syria; TJK—Tajikistan; TUR—Turkey.</p>
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14 pages, 3357 KiB  
Article
Mining the Australian Grains Gene Bank for Rust Resistance in Barley
by Md Arifuzzaman, Matthias Jost, Meinan Wang, Xianming Chen, Dragan Perovic, Robert F. Park, Matthew Rouse, Kerrie Forrest, Matthew Hayden, Ghazanfar Abbas Khan and Peter M. Dracatos
Int. J. Mol. Sci. 2023, 24(13), 10860; https://doi.org/10.3390/ijms241310860 - 29 Jun 2023
Cited by 1 | Viewed by 1848
Abstract
Global barley production is threatened by plant pathogens, especially the rusts. In this study we used a targeted genotype-by-sequencing (GBS) assisted GWAS approach to identify rust resistance alleles in a collection of 287 genetically distinct diverse barley landraces and historical cultivars available in [...] Read more.
Global barley production is threatened by plant pathogens, especially the rusts. In this study we used a targeted genotype-by-sequencing (GBS) assisted GWAS approach to identify rust resistance alleles in a collection of 287 genetically distinct diverse barley landraces and historical cultivars available in the Australian Grains Genebank (AGG) and originally sourced from Eastern Europe. The accessions were challenged with seven US-derived cereal rust pathogen races including Puccinia hordei (Ph-leaf rust) race 17VA12C, P. coronata var. hordei (Pch-crown rust) race 91NE9305 and five pathogenically diverse races of P. striiformis f. sp. hordei (Psh-stripe rust) (PSH-33, PSH-48, PSH-54, PSH-72 and PSH-100) and phenotyped quantitatively at the seedling stage. Novel resistance factors were identified on chromosomes 1H, 2H, 4H and 5H in response to Pch, whereas a race-specific QTL on 7HS was identified that was effective only to Psh isolates PSH-72 and PSH-100. A major effect QTL on chromosome 5HL conferred resistance to all Psh races including PSH-72, which is virulent on all 12 stripe rust differential tester lines. The same major effect QTL was also identified in response to leaf rust (17VA12C) suggesting this locus contains several pathogen specific rust resistance genes or the same gene is responsible for both leaf rust and stripe rust resistance. Twelve accessions were highly resistant to both leaf and stripe rust diseases and also carried the 5HL QTL. We subsequently surveyed the physical region at the 5HL locus for across the barley pan genome variation in the presence of known resistance gene candidates and identified a rich source of high confidence protein kinase and antifungal genes in the QTL region. Full article
(This article belongs to the Special Issue State-of-the-Art Molecular Plant Sciences in Australia)
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Figure 1
<p>Geographic distribution of 287 Eastern European Barley accessions used in the study.</p>
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<p>Linkage disequilibrium (LD) and population structure analyses of the 287 Eastern European Barley (EEBs) accessions (<b>A</b>) Genome-wide average LD decay over physical distance. Pair-wise single-nucleotide polyLD (r<sup>2</sup>) values based on the physical positions from the Morex reference genome assembly (v1) [<a href="#B11-ijms-24-10860" class="html-bibr">11</a>] were plotted as a function of mapping distance (bp) between markers. The red colour curve represents the LD decay across the whole genome. The thick horizontal blue line represents the population-specific critical r<sup>2</sup> value (0.2) above which LD may be due to linkage, (<b>B</b>) Population structure of a panel of 287 genetically distinct EEB accessions based on 1073 molecular markers (K = 3), (<b>C</b>) Admixture model of structure of <span class="html-italic">ΔK</span> for EEB populations, (<b>D</b>) Two-dimensional PCA biplot, (<b>E</b>) A neighbour-joining (NJ) phylogenetic tree of the 287 barley accessions, here, red, green and blue colours indicate the barley genotypes derived from Population I, 2 and 3, respectively.</p>
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<p>Pearson’s correlation coefficients comparing the phenotypic pair-wise correlations between seven rust traits assessed in the Eastern European Barley accessions. Significance for the Pearson’s Correlation was assessed at <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Manhattan plots of the SNPs (<span class="html-italic">n</span> = 28,780). The horizontal lines indicate the threshold value at −log10(<span class="html-italic">p</span>-value) = 5.76. Plots displayed across the seven barley chromosomes indicate the SNPs associated with resistance to five out of the seven rust traits assessed on the Eastern European Barley accessions. Quantile–quantile plots are displayed on the right of each Manhattan plot.</p>
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<p>Boxplots showing the median phenotype of Eastern European lines for the most significant SNP marker allele associated with either resistance or susceptibility to the respective rust traits that were identified using GWAS. Statistical significance was measured using a two-tailed <span class="html-italic">t</span>-test where statistical significance is denoted as <span class="html-italic">p</span> &lt; 0.05 (*) and <span class="html-italic">p</span> &lt; 0.001 (***).</p>
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<p>Schematical drawing of markers associated with leaf rust (cyan), stripe rust (purple) and 5H. Genomic coordinates for markers and detected NLR genes are given based on MorexV3 reference genome [<a href="#B12-ijms-24-10860" class="html-bibr">12</a>]. Predicted NLRs are based on automatic motif search using the NLR annotator [<a href="#B14-ijms-24-10860" class="html-bibr">14</a>] for the 20 accessions of the barley pan-genome are illustrated as directional arrows, where complete NLRs are highlighted in green, complete pseudogenes as orange and partial NLRs as red arrows.</p>
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11 pages, 1201 KiB  
Article
Efficiency of Rph genes against Puccinia hordei in Southern Russia in 2019–2021
by Anastasia Danilova and Galina Volkova
Agronomy 2023, 13(4), 1046; https://doi.org/10.3390/agronomy13041046 - 2 Apr 2023
Viewed by 1600
Abstract
Barley leaf rust (Puccinia hordei Otth.) is considered a harmful disease that occurs in barley-growing regions worldwide. In Russia, the disease is among the most prevalent in the Krasnodar region, which is the leader in the production of barley grain and has [...] Read more.
Barley leaf rust (Puccinia hordei Otth.) is considered a harmful disease that occurs in barley-growing regions worldwide. In Russia, the disease is among the most prevalent in the Krasnodar region, which is the leader in the production of barley grain and has a favorable climate for disease development. In this paper, we studied the efficiency of 17 varieties and lines of barley from the International and Australian sets containing currently known Rph resistance genes or their combinations to P. hordei in the field, and 15 varieties and lines in the seedling phase in greenhouse conditions during 2019–2021. We concluded that the lines carrying the Rph7 and Rph13 genes remained immune throughout the three years of studies in the seedling and adult plant stages. The Rph1 and Rph23 genes showed moderate efficiency during the three years. The Rph2, Rph3, Rph4, Rph5, Rph6+2, Rph8, Rph12, Rph19, and Rph21+2 genes showed low efficiency over the three years. This was also confirmed by the results of their assessment in the seedling phase: the number of monopustular isolates virulent to lines with the majority of the studied genes for three years was above 90%. Fluctuations in the virulence of the P. hordei population were observed under sufficiently unfavorable weather for disease development in 2019, 2020, and 2021. This proves the ability of the fungus to adapt to changing conditions. Therefore, annual monitoring of the response of lines and varieties carrying resistance genes and studying the virulence of the pathogen are crucial for the selection of rust-resistant varieties, and, hence, the prevention of barley leaf rust epidemics in all grain-producing regions worldwide. Full article
(This article belongs to the Special Issue Genetics and Molecular Biology of Pathogens in Agricultural Crops)
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<p>Climatogram of weather conditions for the research period 2019–2021 (according to the FRCBPP meteorological station, Russian Federation, Krasnodar region, Krasnodar).</p>
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<p>Accounting for the development of barley leaf rust in the field: (<b>A</b>) accounting for the development of the disease (orig.); (<b>B</b>) a barley leaf infected with a leaf rust pathogen (orig.).</p>
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<p>A scale for accounting for the infestation of cereals with types of rust (CIMMYT) [<a href="#B29-agronomy-13-01046" class="html-bibr">29</a>,<a href="#B30-agronomy-13-01046" class="html-bibr">30</a>]. Note: A—the actual area of the sheet covered with rust pustules, %; B—the degree of rust damage according to the modified Cobb scale.</p>
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<p>Accounting for the development of barley leaf rust in the greenhouse: (<b>A</b>) barley seedlings infected with monopustular isolates of <span class="html-italic">P. hordei</span> (orig.); (<b>B</b>) Accounting for the types of reactions of seedlings of barley differentiator varieties to infection with <span class="html-italic">P. hordei</span> monopustular isolates (orig.).</p>
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<p>Range of seedling infection types for the <span class="html-italic">Puccinia hordei</span>–<span class="html-italic">Hordeum vulgare</span> interaction. The infection types were as follows: (<b>0</b>) = no visible symptoms; (<b>;</b>) = hypersensitive flecks; (<b>1</b>) = minute uredinia surrounded by mainly necrotic tissue; (<b>2</b>) = small to medium sized uredinia surrounded by chlorotic and/or necrotic tissue; (<b>3</b>) = medium to large uredinia with or without surrounding chlorosis; (<b>4</b>) = large uredinia without chlorosis. Infection types of 3+ or higher were considered to be compatible (i.e., virulent pathogen/susceptible host) [<a href="#B33-agronomy-13-01046" class="html-bibr">33</a>,<a href="#B34-agronomy-13-01046" class="html-bibr">34</a>].</p>
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16 pages, 1831 KiB  
Article
Characterization of Leaf Rust Resistance in International Barley Germplasm Using Genome-Wide Association Studies
by Laura A. Ziems, Lovepreet Singh, Peter M. Dracatos, Mark J. Dieters, Miguel Sanchez-Garcia, Ahmed Amri, Ramesh Pal Singh Verma, Robert F. Park and Davinder Singh
Plants 2023, 12(4), 862; https://doi.org/10.3390/plants12040862 - 14 Feb 2023
Cited by 1 | Viewed by 2065
Abstract
A panel of 114 genetically diverse barley lines were assessed in the greenhouse and field for resistance to the pathogen Puccinia hordei, the causal agent of barley leaf rust. Multi-pathotype tests revealed that 16.6% of the lines carried the all-stage resistance (ASR) [...] Read more.
A panel of 114 genetically diverse barley lines were assessed in the greenhouse and field for resistance to the pathogen Puccinia hordei, the causal agent of barley leaf rust. Multi-pathotype tests revealed that 16.6% of the lines carried the all-stage resistance (ASR) gene Rph3, followed by Rph2 (4.4%), Rph1 (1.7%), Rph12 (1.7%) or Rph19 (1.7%). Five lines (4.4%) were postulated to carry the gene combinations Rph2+9.am, Rph2+19 and Rph8+19. Three lines (2.6%) were postulated to carry Rph15 based on seedling rust tests and genotyping with a marker linked closely to this gene. Based on greenhouse seedling tests and adult-plant field tests, 84 genotypes (73.7%) were identified as carrying APR, and genotyping with molecular markers linked closely to three known APR genes (Rph20, Rph23 and Rph24) revealed that 48 of the 84 genotypes (57.1%) likely carry novel (uncharacterized) sources of APR. Seven lines were found to carry known APR gene combinations (Rph20+Rph23, Rph23+Rph24 and Rph20+Rph24), and these lines had higher levels of field resistance compared to those carrying each of these three APR genes singly. GWAS identified 12 putative QTLs; strongly associated markers located on chromosomes 1H, 2H, 3H, 5H and 7H. Of these, the QTL on chromosome 7H had the largest effect on resistance response to P. hordei. Overall, these studies detected several potentially novel genomic regions associated with resistance. The findings provide useful information for breeders to support the utilization of these sources of resistance to diversify resistance to leaf rust in barley and increase resistance durability. Full article
(This article belongs to the Special Issue Genetics and Breeding of Crops)
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<p>Frequency distribution of known and unknown <span class="html-italic">Rph</span> genes postulated in 114 CAIGE lines.</p>
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<p>Visualization of known <span class="html-italic">Rph</span> genes in red (position based on BLAST search of published linked markers). QTLs identified at reading 1, 2019 represented in green, QTLs identified at reading 2, 2019 represented in blue and QTLs identified at the 2021 reading represented in orange, visualized on Morex v2 2019. QTLs were based on a single marker significantly associated at the 0.1% (−log10p &gt; 3) level; a confidence interval of 2.5 Mbp was used for visualization purposes. Marker–trait associations (MTAs) represent genomic regions identified using genome-wide association mapping of breeding lines (high- and low-input) and landraces imported as part of the CAIGE program in 2018 and assessed in the field (Cobbitty NSW) at adult-plant stage in 2019 and 2021.</p>
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<p>Linkage disequilibrium (LD) analysis of the 12 QTLs detected via GWAS performed on CAIGE lines. Heat maps represent pairwise LD as R<sup>2</sup> between pairs of markers.</p>
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<p>Principal component analysis of the kinship matrix visualizing the genetic relationships between 98 lines. The figure on the left (<b>A</b>) represents the first principal component (PC1; x-axis) and the second principal component (PC2; y-axis), and the figure on the right (<b>B</b>) represents PC1 (x-axis) and the third principal component (PC3; y-axis). In both plots, genotypes are coloured according to nursery type. LAN, landraces; HI, high-input breeding line (ZBS + ZIC); LI, low-input breeding line (ZBT).</p>
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<p>Manhattan plots representing markers associated with BLR resistance in a diverse set of barley CAIGE germplasms at three time points: reading 1, 2019 (<b>A</b>) reading 2, 2019 (<b>B</b>) and 2021 (<b>C</b>). The grey horizontal line represents a genome-wide significance threshold of −log10(p) of 2 (&gt;1%), and the solid red horizontal line represents a genome-wide significance threshold of −log10(p) of 3 (&gt;0.1%). Density bands colour-coded to show genotypic distribution of 9236 SNPs on chromosomes.</p>
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26 pages, 1614 KiB  
Article
Genome-Wide Association Study of Leaf Rust Resistance at Seedling and Adult Plant Stages in a Global Barley Panel
by Mariam Amouzoune, Sajid Rehman, Rachid Benkirane, Swati Verma, Sanjaya Gyawali, Muamar Al-Jaboobi, Ramesh Pal Singh Verma, Zakaria Kehel and Ahmed Amri
Agriculture 2022, 12(11), 1829; https://doi.org/10.3390/agriculture12111829 - 1 Nov 2022
Cited by 6 | Viewed by 2836
Abstract
Barley leaf rust caused by Puccinia hordei (Ph) is one of the major limiting biotic stresses of barley production worldwide and causes yield losses of up to 60%. A diversity panel of 316 barley genotypes (AM2017) composed of released cultivars, advanced breeding lines [...] Read more.
Barley leaf rust caused by Puccinia hordei (Ph) is one of the major limiting biotic stresses of barley production worldwide and causes yield losses of up to 60%. A diversity panel of 316 barley genotypes (AM2017) composed of released cultivars, advanced breeding lines and landraces was screened for Ph resistance at the seedling stage using two isolates (SRT-SAT and SRT-MRC), while the adult plant stage resistance screening was conducted at the disease hotspot location of Sidi Allal Tazi (SAT) for the cropping seasons of 2017 and 2019. The phenotypic responses were combined with 36,793 single nucleotide polymorphism (SNP) markers in a genome-wide association study (GWAS) using the general linear model (GLM), mixed linear model (MLM), settlement of MLM under progressively exclusive relationship (SUPER), multiple-locus MLM (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK) in GAPIT3, and MLM (K+Q), MLM (K+PCA), and GLM (Q) models in TASSEL to identify genomic regions linked to Ph resistance. Fourteen barley genotypes were resistant (R) at the seedling stage to both Ph isolates, SRT-SAT and SRT-MRC, and twelve genotypes were either resistant (R) or moderately resistant (MR) at the adult plant stage, whereas only one genotype was resistant at the seedling stage, and moderately resistant at the adult plant stage. The genome scan revealed 58 significant marker trait associations (MTA) among which 34 were associated with seedling resistance (SR) and 24 with adult plant resistance (APR). Common genomic regions conferring resistance to Ph were identified at both stages on chromosome 2H (106.53 cM and at 107.37 cM), and on chromosome 7H (126.7 cM). Among the 58 MTA identified, 26 loci had been reported in previous studies, while the remaining 32 loci were regarded as novel. Furthermore, the functional annotation of candidate genes (CGs) adjacent to 36 SNP markers with proteins involved in disease resistance further confirms that some of the SNP markers from our study could be associated with Ph resistance in barley. The resistant barley genotypes and some of the SNP markers from this study with high R2 and additive effects can be converted into high-throughput functional markers for accelerated selection and pyramiding of leaf rust resistance genes in North African barley germplasm. Full article
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<p>Frequency distribution of leaf rust resistance in 316 barley genotypes of AM2017 mapping panel at the seedling stage for <span class="html-italic">Ph</span> isolates, SRT-MRC and SRT-SAT. (<b>a</b>) Venn diagram of infection responses of 320 barley genotypes at the seedling stage to two <span class="html-italic">Ph</span> isolates under controlled conditions; (<b>b</b>) here, I, immune; R, resistant; MR, moderately resistant; MS, moderately susceptible; S, susceptible.</p>
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<p>The frequency distribution of coefficient of infection of leaf rust in AM2017 mapping panel at the adult plant stage (APR) at Sidi Allal Tazi station in 2017 (APR-SAT17) and 2019 (APR-SAT19).</p>
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<p>Marker distribution and population structure of barley panel AM2017. (<b>a</b>) Distribution of 36,793 SNP markers on the barley genome based on the physical map position. Color legend on the right shows the marker density; (<b>b</b>) principal component analysis (PCA) using 36,793 SNP markers with PC1 and PC2 explaining 21.10% and 9.29% of total variation in the AM2017 panel; (<b>c</b>) a line plot between delta-k and number of possible clusters [<a href="#B47-agriculture-12-01829" class="html-bibr">47</a>].</p>
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<p>Genome-wide association mapping of barley leaf rust resistance at the seedling (SRT-MRC, SRT-SAT) and adult plant stages (APR-SAT17, APR-SAT19). (<b>a</b>) Quantile-Quantile (Q-Q) plots of marker-trait association at the seedling stage for P. hordei isolates SRT-MRC and SRT-SAT, and at the adult plant stage in Sidi Allal Tazi station in 2017 (APR-SAT17) and 2019 (APR-SAT19) using the MLM (PCA+K) model in Tassel; (<b>b</b>) the Manhattan plots shows –l0g10 of p-values from genome-wide association mapping against the positions of SNPs on all chromosomes of barley. The red horizontal line indicates the significance threshold (<span class="html-italic">p</span> &lt; 0.001 [−log10(<span class="html-italic">p</span>) = 3]).</p>
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<p>Genetic linkage map of significant SNP markers associated with the seedling and the adult plant stage resistance to <span class="html-italic">P. hordei</span> in barley association mapping panel AM2017. Markers are shown on the right and genetic distances (cM) are shown on the left. Markers in bold represent markers detected at seedling resistance.</p>
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15 pages, 2750 KiB  
Article
Mining Middle Eastern and Central Asian Barley Germplasm to Understand Diversity for Resistance to Puccinia hordei, Causal Agent of Leaf Rust
by Mehnaz Mehnaz, Peter M. Dracatos, Robert F. Park and Davinder Singh
Agronomy 2021, 11(11), 2146; https://doi.org/10.3390/agronomy11112146 - 26 Oct 2021
Cited by 8 | Viewed by 2242
Abstract
Vast collections of barley germplasm have been established and conserved in various global gene banks. These collections hold tremendous genetic diversity for resistance genes to Puccinia hordei, a causal agent of barley leaf rust. This study was undertaken to discover, characterize and [...] Read more.
Vast collections of barley germplasm have been established and conserved in various global gene banks. These collections hold tremendous genetic diversity for resistance genes to Puccinia hordei, a causal agent of barley leaf rust. This study was undertaken to discover, characterize and postulate the known Rph genes (resistance to Puccinia hordei) and identify novel sources of ASR (all-stage resistance) and APR (adult plant resistance) to P. hordei. A core set of 315 barley lines were rust-tested as seedlings for their response to eight Australian pathotypes of P. hordei and genotyped with molecular markers linked to the known characterised ASR and APR genes. These tests led to the postulation of ASR leaf rust resistance genes Rph1, Rph2, Rph3, Rph9.am, Rph12, Rph15, Rph19 and Rph25 singly or in combination. Field tests revealed that the vast majority of lines (84%) carried APR. Genotyping of the APR-carrying lines with markers bPb-0837, Ebmac0603 and sun43-44 identified lines that likely carry the known APR genes Rph20, Rph23 and Rph24 singly or in combination. Thirty-nine per cent of the lines were negative for all the three markers and were thus postulated to carry uncharacterized APR. The sources of resistance identified in this study provide a valuable resource to breeders for further utilization and diversifying the genetic basis of leaf rust resistance in barley. Full article
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<p>Map showing the countries of origin of the barley lines used in this study and the number of lines (in brackets) from each country. Asia Minor and Palestine (328 and 21 lines, respectively) are not shown in the map.</p>
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<p>Schematic diagram summarizing identification and postulation of the ASR and APR genes via phenotyping and genotyping of 1855 AGG lines and the core set (<span class="html-italic">n</span> = 315) in the greenhouse and the Plant Breeding Institute Cobbitty, NSW, Australia, fields.</p>
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<p>Range of seedling infection types recorded in tested barley lines with different <span class="html-italic">P. hordei</span> pathotypes in the greenhouse. Infection types are based on the 0–4 scale [<a href="#B4-agronomy-11-02146" class="html-bibr">4</a>].</p>
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<p>Distribution of barley lines from eleven groups (groups 1–11) postulated to carry various all-stage resistance (ASR) <span class="html-italic">Rph</span> genes when tested with eight Australian <span class="html-italic">Puccinia hordei</span> pathotypes (USR = uncharacterised seedling resistance; ASR = all-stage resistance).</p>
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<p>Gel images showing PCR amplification of the product size of (<b>a</b>) 149 bp in the lines carrying the Yerong allele linked to APR gene <span class="html-italic">Rph23</span>. From left to right, 2–17 = AGG lines, 18 = negative control Franklin and 19 = positive control Yerong; 1 and 20 = Easy Ladder (Bioline). The lines were scored as positive and negative with reference to Yerong and Franklin. (<b>b</b>) Product size of 450 bp in the AGG lines (well Nos. 2, 7, 9, 10 and 17) carrying the ND24260 allele linked to APR gene <span class="html-italic">Rph24</span>. From left to right, 2–17 = AGG lines, 18 = negative control Flagship, 19 = positive control ND24260; 1 and 20 = Easy Ladder (Bioline).</p>
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<p>Graphical representation of the barley lines (from groups A and B) carrying UAPR (Uncharacterised adult plant resistance), <span class="html-italic">Rph20</span>, <span class="html-italic">Rph23</span>, <span class="html-italic">Rph24</span>, <span class="html-italic">Rph20</span> + <span class="html-italic">Rph23</span> and <span class="html-italic">Rph23</span> + <span class="html-italic">Rph24</span> genes and their various resistance responses recorded in the field.</p>
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27 pages, 485 KiB  
Review
Genetic Diversity of Barley Foliar Fungal Pathogens
by Arzu Çelik Oğuz and Aziz Karakaya
Agronomy 2021, 11(3), 434; https://doi.org/10.3390/agronomy11030434 - 27 Feb 2021
Cited by 17 | Viewed by 4226
Abstract
Powdery mildew, net blotch, scald, spot blotch, barley stripe, and leaf rust are important foliar fungal pathogens of barley. Fungal leaf pathogens negatively affect the yield and quality in barley plant. Virulence changes, which can occur in various ways, may render resistant plants [...] Read more.
Powdery mildew, net blotch, scald, spot blotch, barley stripe, and leaf rust are important foliar fungal pathogens of barley. Fungal leaf pathogens negatively affect the yield and quality in barley plant. Virulence changes, which can occur in various ways, may render resistant plants to susceptible ones. Factors such as mutation, population size and random genetic drift, gene and genotype flow, reproduction and mating systems, selection imposed by major gene resistance, and quantitative resistance can affect the genetic diversity of the pathogenic fungi. The use of fungicide or disease-resistant barley genotypes is an effective method of disease control. However, the evolutionary potential of pathogens poses a risk to overcome resistance genes in the plant and to neutralize fungicide applications. Factors affecting the genetic diversity of the pathogen fungus may lead to the emergence of more virulent new pathotypes in the population. Understanding the factors affecting pathogen evolution, monitoring pathogen biology, and genetic diversity will help to develop effective control strategies. Full article
(This article belongs to the Special Issue Genetic Diversity of Disease Resistance in Crops)
17 pages, 5188 KiB  
Article
The Ustilago hordei–Barley Interaction is a Versatile System for Characterization of Fungal Effectors
by Bilal Ökmen, Daniela Schwammbach, Guus Bakkeren, Ulla Neumann and Gunther Doehlemann
J. Fungi 2021, 7(2), 86; https://doi.org/10.3390/jof7020086 - 27 Jan 2021
Cited by 14 | Viewed by 4473
Abstract
Obligate biotrophic fungal pathogens, such as Blumeria graminis and Puccinia graminis, are amongst the most devastating plant pathogens, causing dramatic yield losses in many economically important crops worldwide. However, a lack of reliable tools for the efficient genetic transformation has hampered studies [...] Read more.
Obligate biotrophic fungal pathogens, such as Blumeria graminis and Puccinia graminis, are amongst the most devastating plant pathogens, causing dramatic yield losses in many economically important crops worldwide. However, a lack of reliable tools for the efficient genetic transformation has hampered studies into the molecular basis of their virulence or pathogenicity. In this study, we present the Ustilago hordei–barley pathosystem as a model to characterize effectors from different plant pathogenic fungi. We generate U. hordei solopathogenic strains, which form infectious filaments without the presence of a compatible mating partner. Solopathogenic strains are suitable for heterologous expression system for fungal virulence factors. A highly efficient Crispr/Cas9 gene editing system is made available for U. hordei. In addition, U. hordei infection structures during barley colonization are analyzed using transmission electron microscopy, showing that U. hordei forms intracellular infection structures sharing high similarity to haustoria formed by obligate rust and powdery mildew fungi. Thus, U. hordei has high potential as a fungal expression platform for functional studies of heterologous effector proteins in barley. Full article
(This article belongs to the Special Issue Smut Fungi)
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Figure 1

Figure 1
<p>Generation of a solopathogenic <span class="html-italic">Ustilago hordei</span> strain. (<b>A</b>) Filamentation test on charcoal plate. <span class="html-italic">U. hordei</span> wild-type strains 4857-4 <span class="html-italic">MAT-1</span>, 4857-5 <span class="html-italic">MAT-2</span>, mating of 4857-4 <span class="html-italic">MAT-1</span> × 4857-5 <span class="html-italic">MAT-2</span>, solopathogenic DS199, and DS200 strains. Pictures were taken after 3 days incubation at RT. (<b>B</b>) Appressoria formation ability of <span class="html-italic">U. hordei</span> strains on parafilm. Mating of <span class="html-italic">U. hordei</span> wild-type 4857-4 <span class="html-italic">MAT-1</span> and 4857-5 <span class="html-italic">MAT-2</span>, solopathogenic DS199, solopathogenic DS200. Yellow arrowheads indicate appressoria. Pictures were taken after 24 h (hours) incubation (<b>C</b>) Disease development of different <span class="html-italic">U. hordei</span> strains <span class="html-italic">on</span> barley. Mating of <span class="html-italic">U. hordei</span> wild-type 4857-4 <span class="html-italic">MAT-1</span> and 4857-5 <span class="html-italic">MAT-2</span> at 3 dpi (days post inoculation), solopathogenic DS199 at 3 dpi, solopathogenic DS200 at 3 dpi. Following wheat germ agglutinin (WGA)-AF488/propidium iodide (PI) staining, fungal cell walls are shown in green and plant cell walls in red. (<b>D</b>) Quantification of appressoria formation for <span class="html-italic">U. hordei</span> wild-type 4857-4 <span class="html-italic">MAT1</span>, solopathogenic DS199, and DS200 on plant. (<b>E</b>) Quantification of penetration efficiency for <span class="html-italic">U. hordei</span> wild-type 4857-4 <span class="html-italic">MAT1</span>, solopathogenic DS199, and DS200 on plant.</p>
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<p>(<b>A</b>–<b>H</b>) Transmission electron microscopy micrographs of wild-type <span class="html-italic">Ustilago hordei</span>-infected barley leaves. (<b>A</b>,<b>B</b>) Biotrophic interphase in the <span class="html-italic">U. hordei</span>–barley interaction. During host colonization, <span class="html-italic">U. hordei</span> invaginates the host cell membrane without breaching it. The host–pathogen interaction mainly takes place within this biotrophic interphase (BIP), which consists of the fungal cell wall (FCW), electron-dense extracellular matrix (edECM), and electron-translucent extracellular matrix (etECM). (<b>C</b>,<b>D</b>) Formation of vesicles at the hyphal tip of <span class="html-italic">U. hordei</span>. Fungal vesicles (Ve) with cores of different electron densities and plant multivesicular bodies (MVB) were detected at hyphal tips and in the plant cytoplasm close to fungal penetration sites, respectively. (<b>E</b>,<b>F</b>) Immunogold labeling of callose with a monoclonal antibody recognizing (1-3)-β-glucan epitopes. Callose accumulation was detected at the electron-translucent ECM (etECM) site (yellow arrowheads). (<b>G</b>,<b>H</b>) Cell-to-cell penetration of <span class="html-italic">U. hordei</span>. <span class="html-italic">U. hordei</span> primarily grows intracellularly at 8 dpi in barley leaves. When the fungal hyphae penetrate a new plant cell, the hypha gets thickened at the site of cell-to-cell passage, resembling appressorial structures (<b>G</b>). The edECM gets thicker at the site of hypha contact with the plant cell wall (yellow arrowheads) (<b>H</b>), while electron-dense material can also diffuse into adjacent parts of the plant cell wall (red arrowhead) (<b>H</b>). (<b>I</b>–<b>M</b>) Haustoria formation during host colonization. <span class="html-italic">U. hordei</span> grows intracellularly and forms haustorial structures in barley cells. (<b>I</b>,<b>J</b>) Wheat germ agglutinin (WGA)-AF488/propidium iodide (PI) staining was performed to visualize <span class="html-italic">U. hordei</span> at 8 days post inoculation (dpi) under confocal/fluorescent microscopy. (<b>K</b>–<b>M</b>) Transmission electron micrographs showing different planes of the section through haustoria. Haustorial structures were distinguished from hyphae by their bigger size and interconnected lobular shapes. Yellow arrowheads (<b>L</b>) point out the connections between haustorial lobes. <span class="html-italic">U. hordei</span> haustoria possess large vacuoles with a granular lumen containing vesicles of different sizes (<b>M</b>) (yellow arrowheads; magnification of inset in (<b>L</b>)). BIP: biotrophic interphase; FCW: fungal cell wall; FPM: fungal plasma membrane; H: hypha; Ha: haustorium; edECM: electron-dense extracellular matrix; etECM: electron-translucent extracellular matrix; LB: lipid bodies; MVB: multi-vesicular body; PCW: plant cell wall; PPM: plant plasma membrane; Ve: vesicles.</p>
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<p>(<b>A</b>,<b>B</b>) Heterologous expression of <span class="html-italic">GusA-mCherry</span> in <span class="html-italic">Ustilago hordei</span>. (<b>A</b>) GusA-mCherry was heterologously expressed in solopathogenic strain DS200 under control of the <span class="html-italic">UHOR_02700</span> promotor with or without signal peptide (SP) for extracellular secretion. The ± SP-GusA-mCherry DS200 strains were inoculated on barley seedlings, then at 4 days post inoculation (dpi) confocal microscopy was performed to monitor expression and localization of recombinant proteins. While +SP-GusA-mCherry is secreted around the tip of the invasive hyphae, -sp-GusA-mCherry localizes in the fungal cytoplasm. The white graphs indicate the mCherry signal intensity along the diameter of the hyphae (illustrated by white lines in the image). (<b>B</b>) Western blot analysis was performed with apoplastic fluid isolated from barley leaves infected with ± SP-GusA-mCherry DS200 strains. While a band corresponding to secreted +SP-GusA-mCherry (at ~100 kDa) and free mCherry (at 27 kDa) in isolated apoplastic fluid was detected, no band corresponding to cytoplasmic -sp-GusA-mCherry could be detected. Anti-RFP antibody was used for Western blot analysis. (<b>C</b>,<b>D</b>) Establishment of CRISPR/Cas9 gene editing system for <span class="html-italic">Ustilago hordei</span>. (<b>C</b>) Codon-optimized <span class="html-italic">Cas9</span> was cloned into the <span class="html-italic">p123</span> plasmid under the control of the <span class="html-italic">Hsp70</span> promoter. The <span class="html-italic">U. hordei pU6</span> promotor was used to express sgRNA for the targeted gene. Carboxin resistance was used as selection marker. (<b>D</b>) <span class="html-italic">U. hordei Fly1</span> gene, a fungalysin metalloprotease involved in fungal cell separation, was edited via the CRISPR/Cas9 system for knock-out. While DS200 sporidia showed normal growth, DS200Δuhfly1 cells were impaired in cell separation.</p>
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<p>Heterologous expression of fungal effectors in <span class="html-italic">Ustilago hordei</span>. (<b>A</b>) Heterologous expression and secretion of CfAvr4 in <span class="html-italic">U. hordei</span> DS200 strain in vitro. <span class="html-italic">U. hordei</span> strain DS200 expressing <span class="html-italic">CfAvr4</span> of <span class="html-italic">Cladosporium fulvum</span> with <span class="html-italic">UHOR_02700</span> signal peptide and under the control of <span class="html-italic">pActin</span> promoter (for constitutive expression), as well as FvRibo1 of <span class="html-italic">Fusarium verticillioides</span> with <span class="html-italic">UHOR_02700</span> signal peptide and under the control of <span class="html-italic">pUHOR_02700</span> promoter (for expression in planta only) were grown in YEPS<sub>light</sub> liquid medium till OD:1.0. The <span class="html-italic">U. hordei</span> cell suspensions were centrifuged and the culture filtrates (CF) of each sample were infiltrated into tobacco leaves expressing Cf4-resistant protein, which can recognize CfAvr4 and induce cell death by means of hypersensitive response (HR). The culture filtrates from <span class="html-italic">U. hordei</span> DS200 and DS200-FvRibo1 strains were used as negative controls. Pictures were taken at 5 days post infiltration (dpi). Autofluorescence of infected leaves was imaged to more easily see sites of cell death by using Gel-Doc (Bio-Rad). (<b>B</b>) Biomass quantification of DS200-FvRibo1 in barley leaves. The virulence of the <span class="html-italic">U. hordei</span> DS200 and two independent DS200-FvRibo1 strains was assessed by fungal biomass quantification from DNA isolated from infected barley leaves at 6 days post inoculation (dpi). The <span class="html-italic">Ppi1</span> gene of <span class="html-italic">U. hordei</span> was used as a standard for qPCR. The fungal biomass was deduced from a standard curve. A student t-test was performed to determine significant differences, which are indicated as asterisks (***, <span class="html-italic">p</span> &lt; 0.001). Error bars represent the standard deviation of three biological repeats. (<b>C</b>) Heterologous expression and secretion of FvRibo1 in <span class="html-italic">U. hordei</span> strain DS200 in planta. <span class="html-italic">Ustilago hordei</span> strain DS200 and DS200 expressing <span class="html-italic">FvRibo1</span> (encoding a secreted ribotoxin) of <span class="html-italic">Fusarium verticillioides</span> with <span class="html-italic">UHOR_02700</span> signal peptide and under the control of the <span class="html-italic">UHOR_02700</span> promoter (for only in planta expression) were inoculated on susceptible 12-day-old barley seedlings. Macroscopic pictures were taken at 6 dpi. Autofluorescence pictures were taken to see better cell death by using Gel-Doc (Bio-Rad). (<b>D</b>) Wheat germ agglutinin (WGA)-AF488/propidium iodide (PI) staining was performed to visualize the colonization of DS200-FvRibo1 in barley leaves compared to DS200. While green signal indicates fungal colonization, the red signal represents the plant cell walls.</p>
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784 KiB  
Article
Proximal Sensing of Plant-Pathogen Interactions in Spring Barley with Three Fluorescence Techniques
by Georg Leufen, Georg Noga and Mauricio Hunsche
Sensors 2014, 14(6), 11135-11152; https://doi.org/10.3390/s140611135 - 24 Jun 2014
Cited by 12 | Viewed by 7270
Abstract
In the last years fluorescence spectroscopy has come to be viewed as an essential approach in key research fields of applied plant sciences. However, the quantity and particularly the quality of information produced by different equipment might vary considerably. In this study we [...] Read more.
In the last years fluorescence spectroscopy has come to be viewed as an essential approach in key research fields of applied plant sciences. However, the quantity and particularly the quality of information produced by different equipment might vary considerably. In this study we investigate the potential of three optical devices for the proximal sensing of plant-pathogen interactions in four genotypes of spring barley. For this purpose, the fluorescence lifetime, the image-resolved multispectral fluorescence and selected indices of a portable multiparametric fluorescence device were recorded at 3, 6, and 9 days after inoculation (dai) from healthy leaves as well as from leaves inoculated with powdery mildew (Blumeria graminis) or leaf rust (Puccinia hordei). Genotype-specific responses to pathogen infections were revealed already at 3 dai by higher fluorescence mean lifetimes in the spectral range from 410 to 560 nm in the less susceptible varieties. Noticeable pathogen-induced modifications were also revealed by the ‘Blue-to-Far-Red Fluorescence Ratio’ and the ‘Simple Fluorescence Ratio’. Particularly in the susceptible varieties the differences became more evident in the time-course of the experiment i.e., following the pathogen development. The relevance of the blue and green fluorescence to exploit the plant-pathogen interaction was demonstrated by the multispectral fluorescence imaging system. As shown, mildewed leaves were characterized by exceptionally high blue fluorescence, contrasting the values observed in rust inoculated leaves. Further, we confirm that the intensity of green fluorescence depends on the pathogen infection and the stage of disease development; this information might allow a differentiation of both diseases. Moreover, our results demonstrate that the detection area might influence the quality of the information, although it had a minor impact only in the current study. Finally, we highlight the relevance of different excitation-emission channels to better understand and evaluate plant-physiological alterations due to pathogen infections. Full article
(This article belongs to the Section Biosensors)
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<p>Mean fluorescence lifetime at selected wavelength (410–560 nm) recorded from control and powdery mildewed leaves of the barley varieties Belana, Marthe, Conchita and Tocada (from top to bottom) at 3 and 9 days after inoculation (dai). Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Significant differences (<span class="html-italic">t</span>-test *, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety, wavelength, and measuring day are shown.</p>
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<p>Mean fluorescence lifetime at selected wavelength (410–560 nm) recorded from control and powdery mildewed leaves of the barley varieties Belana, Marthe, Conchita and Tocada (from top to bottom) at 3 and 9 days after inoculation (dai). Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Significant differences (<span class="html-italic">t</span>-test *, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety, wavelength, and measuring day are shown.</p>
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<p>Mean fluorescence lifetime at selected wavelength (410–560 nm) of control and leaf rust inoculated leaves of the barley varieties Belana, Marthe, Conchita and Tocada (from top to bottom) at 3 and 9 days after inoculation (dai). Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Significant differences (<span class="html-italic">t</span>-test *, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety, wavelength, and measuring day are shown.</p>
Full article ">
<p>Mean fluorescence lifetime at selected wavelength (410–560 nm) of control and leaf rust inoculated leaves of the barley varieties Belana, Marthe, Conchita and Tocada (from top to bottom) at 3 and 9 days after inoculation (dai). Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Significant differences (<span class="html-italic">t</span>-test *, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety, wavelength, and measuring day are shown.</p>
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<p>Green fluorescence intensity (500–580 nm scaled as counts s<sup>−</sup><sup>1</sup>) recorded under blue excitation. Leaves of the healthy control and powdery mildewed plants of the barley varieties Belana, Marthe, Conchita and Tocada were studied at 3, 6, 9 days after inoculation. Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Asterisk (*) indicate significant differences (<span class="html-italic">t</span>-test, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety and measuring day.</p>
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<p>Green fluorescence intensity (500–580 nm scaled as counts s<sup>−</sup><sup>1</sup>) recorded under blue excitation. Leaves of the healthy control and leaf rust inoculated plants, of the barley varieties Belana, Marthe, Conchita and Tocada were studied at 3, 6, 9 days after inoculation. Values indicate mean ± standard error (<span class="html-italic">n =</span> 5). Asterisks (*) indicate significant differences (<span class="html-italic">t</span>-test, <span class="html-italic">p ≤</span> 0.05) between control and inoculated leaves for each variety and measuring day.</p>
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