ArticlePLoS pathogens2020
Genetic analysis reveals long-standing population differentiation and high diversity in the rust pathogen Melampsora lini.
Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Developing a crop- wild-reservoir pathogen system to understand pathogen evolution and emergence.eLife · 2025Article
- Recombination triggers fungal crop disease.Nature ecology & evolution · 2023Article
- A pathogen's spatial range is not constrained by geographical features in the flax rust pathosystem.Ecology and evolution · 2023Article
- Genetic Analysis of Plant Pathogens Natural Populations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Population-level deep sequencing reveals the interplay of clonal and sexual reproduction in the fungal wheat pathogenMicrobial genomics · 2021Article
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5 authors at 1 institution in 1 country.
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Abstract
A priority for research on infectious disease is to understand how epidemiological and evolutionary processes interact to influence pathogen population dynamics and disease outcomes. However, little is understood about how population adaptation changes across time, how sexual vs. asexual reproduction contribute to the spread of pathogens in wild populations and how diversity measured with neutral and selectively important markers correlates across years. Here, we report results from a long-term study of epidemiological and genetic dynamics within several natural populations of the Linum marginale-Melampsora lini plant-pathogen interaction. Using pathogen isolates collected from three populations of wild flax (L. marginale) spanning 16 annual epidemics, we probe links between pathogen population dynamics, phenotypic variation for infectivity and genomic polymorphism. Pathogen genotyping was performed using 1567 genome-wide SNP loci and sequence data from two infectivity loci (AvrP123, AvrP4). Pathogen isolates were phenotyped for infectivity using a differential set. Patterns of epidemic development were assessed by conducting surveys of infection prevalence in one population (Kiandra) annually. Bayesian clustering analyses revealed host population and ecotype as key predictors of pathogen genetic structure. Despite strong fluctuations in pathogen population size and severe annual bottlenecks, analysis of molecular variance revealed that pathogen population differentiation was relatively stable over time. Annually, varying levels of clonal spread (0-44.8%) contributed to epidemics. However, within populations, temporal genetic composition was dynamic with rapid turnover of pathogen genotypes, despite the dominance of only four infectivity phenotypes across the entire study period. Furthermore, in the presence of strong fluctuations in population size and migration, spatial selection may maintain pathogen populations that, despite being phenotypically stable, are genetically highly dynamic.
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