Tools
Tools
Hubbard, Amelia, Lewis, Clare M., Yoshida, Kentaro, Ramirez-Gonzalez, Ricardo H., De Vallavieille-Pope, Claude, Thomas, Jane, Kamoun, Sophien 
ORCID: https://orcid.org/0000-0002-0290-0315, Bayles, Rosemary, Uauy, Cristobal and Saunders, Diane
(2015)
Field pathogenomics reveals the emergence of a diverse wheat yellow rust population.
Genome Biology, 16 (1).
ISSN 1474-760X
Preview |
PDF (Published_Version)
- Published Version
Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
BACKGROUND: Emerging and re-emerging pathogens imperil public health and global food security. Responding to these threats requires improved surveillance and diagnostic systems. Despite their potential, genomic tools have not been readily applied to emerging or re-emerging plant pathogens such as the wheat yellow (stripe) rust pathogen Puccinia striiformis f. sp. tritici (PST). This is due largely to the obligate parasitic nature of PST, as culturing PST isolates for DNA extraction remains slow and tedious. RESULTS: To counteract the limitations associated with culturing PST, we developed and applied a field pathogenomics approach by transcriptome sequencing infected wheat leaves collected from the field in 2013. This enabled us to rapidly gain insights into this emerging pathogen population. We found that the PST population across the United Kingdom (UK) underwent a major shift in recent years. Population genetic structure analyses revealed four distinct lineages that correlated to the phenotypic groups determined through traditional pathology-based virulence assays. Furthermore, the genetic diversity between members of a single population cluster for all 2013 PST field samples was much higher than that displayed by historical UK isolates, revealing a more diverse population of PST. CONCLUSIONS: Our field pathogenomics approach uncovered a dramatic shift in the PST population in the UK, likely due to a recent introduction of a diverse set of exotic PST lineages. The methodology described herein accelerates genetic analysis of pathogen populations and circumvents the difficulties associated with obligate plant pathogens. In principle, this strategy can be widely applied to a variety of plant pathogens.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | sdg 2 - zero hunger,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/zero_hunger |
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Plant Sciences |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 01 Jun 2016 13:00 |
| Last Modified: | 09 May 2024 10:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/59180 |
| DOI: | 10.1186/s13059-015-0590-8 |
Downloads
Downloads per month over past year
Actions (login required)
 |
View Item |