Developing a crop- wild-reservoir pathogen system to understand pathogen evolution and emergence

Crop pathogens reduce yield and contribute to global malnourishment. Surveillance not only detects presence/absence but also reveals genetic diversity, which can inform our understanding of rapid adaptation and control measures. An often neglected aspect is that pathogens may also use crop wild relatives as alternative hosts. This study develops the beet (<i>Beta vulgaris</i>) rust (<i>Uromyces beticola</i>) system to explore how crop pathogens evolve to evade resistance using a wild reservoir. We test predictions that crop selection will drive virulence gene differentiation and affect rates of sex between crop- and wild-host rust populations. We sequenced, assembled, and annotated the 588 Mb beet rust genome, developed a novel leaf peel pathogen DNA extraction protocol, and analysed genetic diversity in 42 wild and crop isolates. We found evidence for two populations: one containing exclusively wild-host isolates; the other containing all crop-host isolates, plus five wild isolates. Effectors showed greater diversity in the exclusively wild population and greater differentiation between populations. Preliminary evidence suggests the rates of sexual reproduction may differ between populations. This study highlights how differences in pathogen populations might be used to identify genes important for survival on crops and how reproduction might impact adaptation. These findings are relevant to all crop-reservoir systems and will remain unnoticed without comparison to wild reservoirs.

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Publication Details

Journal
eLife
Published
2025-03-27
DOI
https://doi.org/10.7554/elife.91245
Citations
1
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
1.75

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article

Developing a crop- wild-reservoir pathogen system to understand pathogen evolution and emergence

Rowena Hill, Jakob Kroboth, Mark P. Stevens, Ben J. Ward et al.
1 citations
eLife
Wheat and Barley Genetics and Pathology
1.75
article

Developing a crop- wild-reservoir pathogen system to understand pathogen evolution and emergence

Rowena Hill, Jakob Kroboth, Mark P. Stevens, Ben J. Ward, Ned Peel, David Swarbreck, Michelle Grey, Hélène Yvanne, Laura‐Jayne Gardiner, Mark McMullan, Lawrence Percival‐Alwyn, Neil Hall, Ross Low, Gemy Kaithakottil, Sally D. Warring, Kevin Sawford, Darren Heavens, Matthew D. Clark
article en
1 citations

Abstract

Crop pathogens reduce yield and contribute to global malnourishment. Surveillance not only detects presence/absence but also reveals genetic diversity, which can inform our understanding of rapid adaptation and control measures. An often neglected aspect is that pathogens may also use crop wild relatives as alternative hosts. This study develops the beet (<i>Beta vulgaris</i>) rust (<i>Uromyces beticola</i>) system to explore how crop pathogens evolve to evade resistance using a wild reservoir. We test predictions that crop selection will drive virulence gene differentiation and affect rates of sex between crop- and wild-host rust populations. We sequenced, assembled, and annotated the 588 Mb beet rust genome, developed a novel leaf peel pathogen DNA extraction protocol, and analysed genetic diversity in 42 wild and crop isolates. We found evidence for two populations: one containing exclusively wild-host isolates; the other containing all crop-host isolates, plus five wild isolates. Effectors showed greater diversity in the exclusively wild population and greater differentiation between populations. Preliminary evidence suggests the rates of sexual reproduction may differ between populations. This study highlights how differences in pathogen populations might be used to identify genes important for survival on crops and how reproduction might impact adaptation. These findings are relevant to all crop-reservoir systems and will remain unnoticed without comparison to wild reservoirs.

eLifeVol. 14
Natural History Museum (GB), National Institute of Agricultural Botany (GB), Norwich Research Park (GB), Earlham Institute (GB), Deutsche Meeresmuseum (DE), British Beet Research Organisation (GB)
Biotechnology and Biological Sciences Research Council
Zero hunger
Openalex Percentile: Top 16%
Wheat and Barley Genetics and Pathology
1.75
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