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249 results for “plant pathogen”
Data from: Flowering plant composition shapes pathogen infection intensity and reproduction in bumble bee colonies
<p><span>Pathogens pose significant threats to pollinator health and food security. Pollinators can transmit diseases during foraging, but the consequences of plant species composition for infection is unknown. In agroecosystems, flowering strips or hedgerows are often used to augment pollinator habitat. We used canola as a focal crop in tents, and manipulated flowering strip composition using plant species we had previously shown to result in higher or lower bee infection in short-term trials. We also manipulated initial colony infection to assess impacts on foraging behavior. Flowering strips using high-infection plant species nearly doubled bumble bee colony infection intensity compared to low-infection plant species, with intermediate infection in canola-only tents. Both infection treatment and flowering strips reduced visits to canola, but we saw no evidence that infection treatment shifted foraging preferences. Although high-infection flowering strips increased colony infection intensity, colony reproduction was improved with any flowering strips compared to canola alone. Effects of flowering strips on colony reproduction were explained by nectar availability, but effects of flowering strips on infection intensity were not. Thus, flowering strips benefited colony reproduction by adding floral resources, but certain plant species also come with a risk of increased pathogen infection intensity.</span></p>
Data from: Plant pathogenic bacterium Ralstonia solanacearum can rapidly evolve tolerance to antimicrobials produced by Pseudomonas biocontrol bacteria
<p>Soil-borne plant pathogens significantly threaten crop production due to lack of effective control methods. One alternative to traditional agrochemicals is microbial biocontrol, where pathogen growth is suppressed by naturally occurring bacteria that produce antimicrobial chemicals. However, it is still unclear if pathogenic bacteria can evolve tolerance to biocontrol antimicrobials and if this could constrain the long-term efficacy of biocontrol strategies. Here we used an <em>in vitro</em> experimental evolution approach to investigate if the phytopathogenic <em>Ralstonia solanacearum </em>bacterium, which causes bacterial wilt disease, can evolve tolerance to antimicrobials produced by <em>Pseudomonas</em> bacteria. We further asked if tolerance was specific to pairs of <em>R. solanacearum</em> and <em>Pseudomonas</em> strain and certain antimicrobial compounds produced by <em>Pseudomonas</em>. We found that while all <em>R. solanacearum</em> strains could initially be inhibited by <em>Pseudomonas</em> strains, this inhibition decreased following successive subculturing with or without <em>Pseudomonas</em> supernatants. Using separate tolerance assays, we show that the majority of <em>R. solanacearum </em>strains evolved increased tolerance to multiple <em>Pseudomonas</em> strains. Mechanistically, evolved tolerance was most likely linked to reduced susceptibility to orfamide lipopeptide antimicrobials secreted by <em>Pseudomonas</em> strains in our experimental conditions. Some levels of tolerance also evolved in the control treatments, which was likely correlated response due to adaptations to the culture media. Together, these results suggest that plant-pathogenic bacteria can rapidly evolve increased tolerance to bacterial antimicrobial compounds, which could reduce the long-term efficacy of microbial biocontrol.</p>
Evolution of sympatric host-specialized lineages of the fungal plant pathogen Zymoseptoria passerinii in natural ecosystems
<p>This repository contains the data sets from the research paper "Evolution of sympatric host-specialized lineages of the fungal plant pathogen <em>Zymoseptoria passerinii</em> in natural ecosystems"</p>
The population genetics of adaptation through copy-number variation in a fungal plant pathogen
<p>Supplementary Tables S1-S8 for the manuscript "The population genetics of adaptation through copy-number variation in a fungal plant pathogen"</p>
Plant-root pathogenic fungal and plant-mycorrhizal fungal association networks in a subtropical forest
<p><span>Although rhizosphere fungi are essential for plant survival and ecosystem functioning, little is known about the processes that structure plant–fungal association networks. In this study, we constructed association networks between 43 plant species and two groups of root-associated fungi (mycorrhizal and pathogenic fungi; MF and PF, respectively) in a diverse subtropical forest. We then evaluated the modularity of plant–MF and plant–PF networks and linked them to the functional traits and phylogenies of both plants and fungi. We observed strong modularity in both plant–MF and plant–PF networks. Phylogenetically related fungi tended to emerge in the same modules. MF from distinct modules associated with plants with different specific root length and specific root area in plant–MF networks. PF from distinct modules associated with plants with different dark respiration rate and light compensation point in plant–PF networks. Plant affiliation to modules was explained by both plant traits and phylogeny </span><span>(22% for plant–MF and 37% for plant–PF networks). In contrast</span><span>, fungal affiliation to modules was explained by fungal phylogeny (</span><span>16% </span><span>for plant–MF and </span><span>29% </span><span>for plant–PF networks). Our results elucidate the link between modularity in plant–root fungal networks and the functional traits and phylogeny of the plants and fungi. Our study highlights the importance of traits and phylogeny in governing root fungal community assembly from network perspective.</span></p>
Positive allometric growth explains the positive effect of foliar fungal pathogens on plant coexistence
<p><span>The data was collected in the northeastern Qinghai-Tibetan Plateau, Qinghai Province, China (101° 18′ 57</span>″ <span>E, 37° 36′ 50</span>″ <span>N; 3 221 m a.s.l.) in 2019 and 2020, including t</span>he species-specific growth allometry (scaling exponent and intercept) fitted by the allometric equation under each treatment in a population-level experiment, i.e., control, fungicide application, neighbor removal (removal), fungicide application × neighbor removal, and the community-level mean and dispersion of the growth allometry (CWM and FDis of growth scaling exponent and intercept, respectively) weighted by the species cover for each plot in a community-level fungicide application experiment.</p>
Adaptation of pathogens to their local plant host, Silphium integrifolium, along a precipitation gradient
<p>All figures and code were generated in RStudio 2022.02.3+492 "Prairie Trillium" Release. All packages needed to run the R code are shown in the RMD’s.</p> <p> </p> <p>Code to generate figures and statistical analysis:</p> <p> </p> <ul> <li>DVTindex_help.Rmd <ul> <li>Code to generate figure 3</li> </ul> </li> <li>Figure5_PrairieVSCommonGarden <ul> <li>Code to generate figure 5</li> </ul> </li> <li>PATHOFigs_for_Manu_FEB22.Rmd <ul> <li>Code to generate figures 1, 2, 4</li> </ul> </li> <li>SUPP_Figure3_DimPathoEDIT.Rmd <ul> <li>Code to generate supplementary figure 3 (fig S3)</li> </ul> </li> <li>STATSAnalysis_PathoDim2B.Rmd <ul> <li>Code to generate all tables and statistical analysis in the manuscript</li> </ul> </li> </ul> <p> </p> <p>Description of data files:</p> <ul> <li>2019and2020Prairie_data.txt <ul> <li>This file contains data collected from the prairie sites in 2019 and 2020</li> </ul> </li> <li>Dim2b_latlon.csv <ul> <li>The latitudinal and longitudinal coordinates for the common garden sites and prairie sites as well as precipitation data</li> </ul> </li> <li>DVTINDEX_from_DVT.csv <ul> <li>A separate file that contains the data that produced fig 3. This data file is sourced from SEPT2019_2020_COMPILED_2b_DATACOLL.txt</li> </ul> </li> <li>SEPT2019_2020_COMPILED_2b_DATACOLL.txt</li> <li>SEPT2019_2020_COMPILED_2b_DATACOLL_plots.txt</li> <li>SEPT2019_2020_COMPILED_2b_DATACOLL_plots_longversion.txt <ul> <li>These 3 data files are different versions of the same raw data that was collected from the common garden sites in 2019 and 2020. The code calls for all 3 at different points to generate plots and run statistical analyses</li> </ul> </li> <li>Summary [ insert unique name here] <ul> <li>Various data frames generated from r mark downs that contain summary statistics of the data. These are used to produce the figures in PATHOFigs_for_Manu_FEB22.Rmd graphs.</li> </ul> </li> </ul>
Spring phenology and pathogen infection affect multigenerational plant attackers throughout the growing season
<p>Climate change has been shown to advance spring phenology, increase the number of insect generations per year (multivoltinism), and increase pathogen infection levels. However, we lack insights into the effects of plant spring phenology and the biotic environment on the preference and performance of multivoltine herbivores and whether such effects extend into the later part of the growing season. To this aim, we used a multifactorial growth chamber experiment to examine the influence of spring phenology on plant pathogen infection, and how the independent and interactive effects of spring phenology and plant pathogen infection affect the preference and performance of multigenerational attackers (the leaf miner Tischeria ekebladella and the aphid Tuberculatus annulatus) on the pedunculate oak in the early, mid and late parts of the plant growing season. Pathogen infection was highest on late phenology plants, irrespective of whether inoculations were conducted in the early, mid or late season. The leaf miner consistently preferred to oviposit on middle and late phenology plants, as well as healthy plants, during all parts of the growing season, whereas we detected an interactive effect between spring phenology and pathogen infection on the performance of the leaf miner. Aphids preferred healthy, late phenology plants during the early season, healthy plants during the mid season, and middle phenology plants during the late season, whereas aphid performance was consistently higher on healthy plants during all parts of the growing season. Our findings highlight that the impact of spring phenology on pathogen infection and the preference and performance of insect herbivores is not restricted to the early season, but that its imprint is still present – and sometimes equally strong – during the peak and end of the growing season. Plant pathogens generally negatively affected herbivore preference and performance, and modulated the effects of spring phenology. We conclude that spring phenology and pathogen infection are two important factors shaping the preference and performance of multigenerational plant attackers, which is particularly relevant given the current advance in spring phenology, pathogen outbreaks and increase in voltinism with climate change. </p>
Correlation between fine root traits and pathogen richness depends on plant mycorrhizal types
<p class="MsoNormal"><span><span>Root uptake strategies are associated with the strength of negative plant</span><span>–</span><span>soil feedback induced (PSF) induced by soil pathogens. Given the intensified effect of pathogen richness in fine roots on the strength of negative PSF through the synergistic effects of multiple pathogens, researchers have proposed a trade-off between nutrient acquisition and pathogen defence in roots. However, empirical evidence is lacking. In addition, because the interaction between pathogens and fine roots depends on the mycorrhizal types of tree species, both fine root traits and mycorrhizal types should be incorporated to reveal covariation in pathogen richness and the strength of negative PSF. In this study, we selected 50 arbuscular mycorrhizal (AM) tree species and 7 ectomycorrhizal (ECM) tree species in a subtropical forest to investigate the relationships between fine root traits and pathogen richness in fine roots and determined whether their relationships depended on plant mycorrhizal types. Our results showed that pathogen richness was negatively correlated with fine root diameter but was positively correlated with specific root length for the AM-associated species, while for the ECM-associated species, the pathogen richness was only found to have a significant negative relationship with the relative abundance of ECM fungi. These findings highlight the difference between AM- and ECM-associated species in pathogen defence and bridge the gap between root traits and pathogen richness, which is significant for improving our understanding of the potential factors mediating the strength of PSF and thus maintaining tree species diversity.</span></span></p>
Complete telomere-to-telomere genomes uncover virulence evolution conferred by chromosome fusion in oomycete plant pathogens
<p><span>Variations in chromosome number are occasionally observed among oomycetes, a group that includes many plant pathogens, but the emergence of such variations and their effects on genome and virulence evolution remain ambiguous. We generated complete telomere-to-telomere genome assemblies for <em>Phytophthora sojae</em>, <em>Globisporangium ultimum</em>, <em>Pythium oligandrum</em>, and <em>G. spinosum</em>. Reconstructing the karyotype of the most recent common ancestor in Peronosporales revealed that frequent chromosome fusion and fission drove changes in chromosome number. Centromeres enriched with <em>Copia</em>-like transposons may contribute to chromosome fusion and fission events. Chromosome fusion facilitated the emergence of pathogenicity genes and their adaptive evolution. Effectors tended to duplicate in the sub-telomere regions of fused chromosomes, which exhibited evolutionary features distinct to the non-fused chromosomes. By integrating ancestral genomic dynamics and structural predictions, we have identified secreted Ankyrin repeat-containing proteins (ANKs) as a novel class of effectors in <em>P. sojae</em>. Phylogenetic analysis and experiments further revealed that ANK is a specifically expanded effector family in oomycetes. These results revealed chromosome dynamics in oomycete plant pathogens, and provided novel insights into karyotype and effector evolution.</span></p>
Data from: Contingency rules for pathogen competition and antagonism in a genetically based, plant defense hierarchy
1. Plant defense against pathogens includes a range of mechanisms, including, but not limited to, genetic resistance, pathogen-antagonizing endophytes, and pathogen competitors. The relative importance of each mechanism can be expressed in a hierarchical view of defense. Several recent studies have shown that pathogen antagonism is inconsistently expressed within the plant defense hierarchy. Our hypothesis is that the hierarchy is governed by contingency rules that determine when and where antagonists reduce plant disease severity. 2. Here, we investigated whether pathogen competition influences pathogen antagonism using Populus as a model system. In three independent field experiments, we asked whether competition for leaf mesophyll cells between a Melampsora rust pathogen and a microscopic, eriophyid mite affects rust pathogen antagonism by fungal leaf endophytes. The rust pathogen has an annual, phenological disadvantage in competition with the mite because the rust pathogen must infect its secondary host in spring before infecting Populus. We varied mite-rust competition by utilizing Populus genotypes characterized by differential genetic resistance to the two organisms. We inoculated plants with endophtyes and allowed mites and rust to infect plants naturally. 3. Two contingency rules emerged from the three field experiments: 1) pathogen antagonism by endophytes can be preempted by host genes for resistance that suppress pathogen development, and 2) pathogen antagonism by endophtyes can secondarily be preempted by competitive exclusion of the rust by the mite. 4. Synthesis: Our results point to a Populus defense hierarchy with resistance genes on top, followed by pathogen competition, and finally pathogen antagonism by endophytes. We expect these rules will help to explain the variation in pathogen antagonism that is currently attributed to context dependency.
Data from: Plant attributes interact with fungal pathogens and nitrogen addition to drive soil enzymatic activities and their temporal variation
<p>Nitrogen enrichment can alter soil communities and their functioning directly, via changes in nutrient availability and stoichiometry, or indirectly, by changing plant communities or the abundance of consumers. However, most studies have only focused on one of these potential drivers and we know little about the relative importance of the different mechanisms (changes in nutrient availability, in plant diversity or functional composition, or in consumer abundance) by which nitrogen enrichment affects soil functioning. In addition, soil functions could vary dramatically between seasons, however, they are typically measured only once during the peak growing season. We therefore know little about the drivers of intra-annual stability in soil functioning.</p> <p>In this study, we measured activities of β-glucosidase and acid phosphatase, two extracellular enzymes that indicate soil functioning. We did so in a large grassland experiment which tested the effects, and relative importance, of nitrogen enrichment, plant functional composition and diversity, and foliar pathogen presence (controlled by fungicide) on soil functioning. We measured the activity of the two enzymes across seasons and years to assess the stability and temporal dynamics of soil functioning.</p> <p>Overall β-glucosidase activity was slightly increased by nitrogen enrichment over time but did not respond to the other experimental treatments. Conversely, plant functional diversity, and interactions between plant attributes and fungicide application, were important drivers of mean acid phosphatase activity. The temporal stability of both soil enzymes was differently affected by two facets of plant diversity: species richness increased temporal stability and functional diversity decreased it; however, these effects were dampened when nitrogen and fungicide were added.</p> <p>Synthesis: The fungicide effects on soil enzyme activities suggest that foliar pathogens can also affect belowground processes and the interacting effect of fungicide and plant diversity suggests that these plant enemies can modulate the relationship between plant diversity and ecosystem functioning. The contrasting effects of our treatments on the mean versus stability of soil enzyme activities clearly show the need to consider temporal dynamics in belowground processes, to better understand the responses of soil microbes to environmental changes such as nutrient enrichment.</p>
Data from: Meta-analysis of the effects of insect pathogens: Implications for plant reproduction
<p>Despite extensive work on both insect disease and plant reproduction, there is little research on the intersection of the two. Insect-infecting pathogens could disrupt the pollination process by affecting pollinator population density or traits. Pathogens may also infect insect herbivores and change herbivory, potentially altering resource allocation to plant reproduction. We conducted a meta-analysis to 1) summarize the literature on the effects of pathogens on insect pollinators and herbivores and 2) quantify the extent to which pathogens affect insect traits, with potential repercussions for plant reproduction. We found 39 articles that fit our criteria for inclusion, extracting 218 measures of insect traits for 21 different insect species exposed to 25 different pathogens. We detected a negative effect of pathogen exposure on insect traits, which varied by host function: pathogens had a significant negative effect on insects that were herbivores or carried multiple functions but not on insects that solely functioned as pollinators. Particular pathogen types were heavily studied in certain insect orders, with 7 of 11 viral pathogen studies conducted in Lepidoptera and 5 of 9 fungal pathogen studies conducted in Hymenoptera. Our results suggest that most studies have focused on a small set of host–pathogen pairs. To understand the implications for plant reproduction, future work is needed to directly measure the effects of pathogens on pollinator effectiveness.</p>
Grazing animals have contrasting effects on foliar pathogens by changing plant community characteristics
<p><span>Large herbivore grazing has substantial effects on plant community structure and ecosystem functioning, however, the impacts of grazing on plant diseases remain poorly understood. Here, we used a grazing experimentand a removal experiment manipulating plant density and litter biomass in northeast China to evaluate how large vertebrate herbivores (cattle and sheep) affect different foliar fungal diseases (biotrophs and necrotrophs). We found that cattle grazing significantly reduced pathogen load, of both biotrophs and necrotrophs, while sheep grazing increased biotrophic pathogen load, but did not affect necrotrophic pathogen load. </span><span> Mechanistically</span><span>, grazing effects were indirect and mediated by changing </span><span>plant community characteristics</span><span>. Moreover, litter biomass play an important role in affecting necrotrophs and by reducing litter build up the cattle reduced necrotrophic pathogen infection</span><span>. Our results demonstrate that </span><span>cattle and sheep grazing have</span><span> contrasting impacts on </span><span>pathogen load. This finding has important implications for improving disease management through grazing regimes in grassland systems.</span></p>
Differences in pathogen resistance between diploid and polyploid plants: a systematic review and meta-analysis
<p class="MsoNormal"><span>Polyploidy, the state of having more than two full sets of chromosomes, has been hypothesized to provide several evolutionary advantages to flowering plants, including increased ability to resist pathogens and parasites. However, studies comparing pathogen resistance in conspecific and congeneric diploids and polyploids have produced mixed results. While the supposed relationship between polyploidy and pathogen resistance has been commented on in several narrative reviews, it has never been subjected to a systematic meta-analysis. We examined the effect of polyploidy on pathogen resistance by synthesizing 214 effect sizes from 128 studies. We find that, overall, there is no consistent effect of polyploidy on pathogen resistance. Subgroup analyses suggest that polyploids perform significantly better than diploids only in resisting hemibiotrophic pathogens, and autopolyploids tend show greater resistance than allopolyploids. This is surprising given the fact that polyploids possess extra allele copies of R-gene alleles that provide resistance to biotrophic pathogens, and this pattern may indicate that signaling cascades needed to elicit hypersensitive responses are disrupted by polyploidy. Disruption is supported by the observation that, across all pathogens, autopolyploids show significantly greater resistance compared to diploids, whereas allopolyploids do not. This is corroborated by the observation that synthetic autopolyploids perform significantly better than their allopolyploid and established counterparts. Regarding pathogen type, diploids show greater resistance than polyploids to pathogens that are fungi or nematodes. Analyses of publication bias indicate little to no bias, and analyses of heterogeneity indicate that phylogeny explains almost none of the observed heterogeneity. These results underscore the importance of not only systematic review but also the strong degree to which the effects of polyploidy depend on ecological context.</span></p>
Data for: Detection of oomycete pathogens in UK peat-free growing media and implications for plant health
<p>This dataset on Zenodo accompanies the manuscript Frederickson-Matika <em>et al.</em> (2024), Detection of oomycete pathogens in UK peat-free growing media and implications for plant health.</p> <p>There are two files:</p> <ul> <li>metadata.tsv - plain text table as tab-separated variables</li> <li>raw_data.tar.gz - compressed archive of 43 paired raw FASTQ files</li> </ul> <p>This represents a subset of two complete Illumina MiSeq plates (in two dated folderes) run at the James Hutton Institute containing other environmental samples using the same protocol. Only the synthetic controls and peat-free samples are provided here.<br><br>To repeat the analysis described in the paper, first install THAPBI PICT. See <a href="https://github.com/peterjc/thapbi-pict/">https://github.com/peterjc/thapbi-pict/ </a>for instructions. At the time of the paper, v1.0.14 was the current release.</p> <p>Next, decompress the raw data into a folder of paired gzipped FASTQ files. There is no need to decompress those:</p> <pre><code> $ tar -zxvf raw_data.tar.gz<br> $ ls -1 plate_20220505/ plate_20230608/</code></pre> <p>If you wish, verify the checksums to confirm the data integrity:</p> <pre><code> $ cd plate_20220505/ $ md5sum -c MD5SUM.txt<br> $ cd ../plate_20230608/ $ md5sum -c MD5SUM.txt<br> $ cd ..</code></pre> <p>Setup output directories:</p> <pre><code><code> $ mkdir -p intermediate/ summary/</code></code></pre> <pre>Run the THAPBI PICT pipeline:</pre> <pre><code> $ thapbi_pict pipeline -m 1s3g \<br> -i plate_*/ -o summary/peat-free \<br> -y plate_*/GBL*.fastq.gz \<br> -n plate_*/GBL*.fastq.gz \<br> -s intermediate/ \<br> -t metadata.tsv -u \<br> -x 9 -c 1,2,3,4,5,6,7,8</code><br><br></pre> <p>The options here are as follows:</p> <ul> <li>-i - two input directories of paired raw FASTQ files.</li> <li>-n - negative controls used to increase the absolute abundance threshold</li> <li>-y - synthetic controls used to increase the fractional abundance threshold</li> <li>-s - optional location to store intermediate files</li> <li>-o - output stem for reports</li> <li>-t - filename for tab-separated-variable metadata</li> <li>-u - show unsequenced samples defined in the metadata</li> <li>-x - which metadata column contains Illumina FASTQ filename stems</li> <li>-c - which metadata columns to include in the report.</li> </ul> <p>This assumes the following key default settings:</p> <ul> <li>-a 100 (default absolite abundance threshold)</li> <li>-f 0.001 (default fractional abundance threshold)</li> <li>-d -(default provided ITS1 database).</li> </ul> <p>With these settings, only synthetic sequences were found in the controls, and therefore the thresholds were not automatically increased any further.</p> <p>Opening the output file summary/peat-free.ITS1.samples.1s3g.xlsx in Excel or similar should show you a table resembling Table 1 in the paper, but one row per sequencing sample, and additional columns with per-sample per-species read counts etc.</p>
Data from: Disease where you dine: plant species and floral traits associated with pathogen transmission in bumble bees
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Data from: Plant pathogenic bacterium Ralstonia solanacearum can rapidly evolve tolerance to antimicrobials produced by Pseudomonas biocontrol bacteria
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Independent and differential effects of arbuscular mycorrhizal fungal composition and plant pathogens on plant traits and nitrogen uptake
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Spring phenology and pathogen infection affect multigenerational plant attackers throughout the growing season
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Allen Brain Atlas
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