The complex genomic basis of rapid convergent adaptation to pesticides across continents in a fungal plant pathogen
| dc.contributor.author | McDonald, Megan | |
| dc.contributor.author | Hartmann, Fanny E. | |
| dc.contributor.author | Vonlanthen, Tiziana | |
| dc.contributor.author | Kumar Singh, Nikhil | |
| dc.contributor.author | Milgate, Andrew | |
| dc.contributor.author | Croll, Daniel | |
| dc.date.accessioned | 2022-02-17T04:38:04Z | |
| dc.date.issued | 2020-12-12 | |
| dc.date.updated | 2021-11-28T07:23:31Z | |
| dc.description.abstract | Convergent evolution leads to identical phenotypic traits in different species or populations. Convergence can be driven by standing variation allowing selection to favour identical alleles in parallel or the same mutations can arise independently. However, the molecular basis of such convergent adaptation remains often poorly resolved. Pesticide resistance in agricultural ecosystems is a hallmark of convergence in phenotypic traits. Here, we analyse the major fungal pathogen Zymoseptoria tritici causing serious losses on wheat and with fungicide resistance emergence across several continents. We sampled three population pairs each from a different continent spanning periods early and late in the application of fungicides. To identify causal loci for resistance, we combined knowledge from molecular genetics work and performed genome-wide association studies (GWAS) on a global set of isolates. We discovered yet unknown factors in azole resistance including a gene encoding membrane associated functions. We found strong support for the “hotspot” model of resistance evolution with convergent changes in a small set of loci but additional loci showed more population-specific allele frequency changes. Genome-wide scans of selection showed that half of all known resistance loci were overlapping a selective sweep region. Hence, the application of fungicides was one of the major selective agents acting on the pathogen over the past decades. Furthermore, loci identified through GWAS showed the highest overlap with selective sweep regions underlining the importance to map phenotypic trait variation in evolving populations. Our population genomic analyses highlighted that both de novo mutations and gene flow contributed to convergent pesticide adaptation. | en_AU |
| dc.description.sponsorship | A. M., and M. C. M. were supported by the Australian National University, Grains and Research Development Corporation, and NSW Department of Primary Industries co-investment DAN00203 as part of the Grains, Agronomy and Pathology Partnership. This work was supported by a Marie Curie European grant (PRESTIGE-2016-4-0013) to F. E. H. F. E. H. also received the Young Biological Researcher Prize from the Fondation des Treilles, created by Anne Gruner Schlumberger, which supports research in Science and Art (https://www.les-treil les.com/la-recherche). D.C. was supported by the National Science Foundation (grant 31003A_173265). | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.citation | Hartmann FE, Vonlanthen T, Singh NK, McDonald MC, Milgate A, Croll D. The complex genomic basis of rapid convergent adaptation to pesticides across continents in a fungal plant pathogen. Mol Ecol. 2021;30:5390–5405. https://doi.org/10.1111/mec.15737 | en_AU |
| dc.identifier.issn | 0962-1083 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/261228 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Blackwell Publishing Ltd | en_AU |
| dc.rights | © 2020 John Wiley & Sons Ltd | en_AU |
| dc.source | Molecular Ecology | en_AU |
| dc.subject | adaptation | en_AU |
| dc.subject | convergent evolution | en_AU |
| dc.subject | fungal pathogens | en_AU |
| dc.subject | fungicide resistance | en_AU |
| dc.subject | parallel evolution | en_AU |
| dc.subject | Zymoseptoria tritici | en_AU |
| dc.title | The complex genomic basis of rapid convergent adaptation to pesticides across continents in a fungal plant pathogen | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.dateAccepted | 2020-11-12 | |
| local.bibliographicCitation.issue | 21 | en_AU |
| local.bibliographicCitation.lastpage | 5405 | en_AU |
| local.bibliographicCitation.startpage | 5390 | en_AU |
| local.contributor.affiliation | McDonald, Megan, College of Science, ANU | en_AU |
| local.contributor.affiliation | Hartmann, Fanny E., Université Paris‐Saclay | en_AU |
| local.contributor.affiliation | Vonlanthen, Tiziana, ETH Zürich | en_AU |
| local.contributor.affiliation | Kumar Singh, Nikhil, University of Neuchâtel | en_AU |
| local.contributor.affiliation | Milgate, Andrew, NSW Department of Primary Industries | en_AU |
| local.contributor.affiliation | Croll, Daniel, University of Neuchatel | en_AU |
| local.contributor.authoruid | McDonald, Megan, u5261870 | en_AU |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 310806 - Plant physiology | en_AU |
| local.identifier.absseo | 260312 - Wheat | en_AU |
| local.identifier.ariespublication | a383154xPUB16775 | en_AU |
| local.identifier.citationvolume | 30 | en_AU |
| local.identifier.doi | 10.1111/mec.15737 | en_AU |
| local.identifier.scopusID | 2-s2.0-85097511650 | |
| local.publisher.url | https://onlinelibrary.wiley.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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