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The complex genomic basis of rapid convergent adaptation to pesticides across continents in a fungal plant pathogen

dc.contributor.authorMcDonald, Megan
dc.contributor.authorHartmann, Fanny E.
dc.contributor.authorVonlanthen, Tiziana
dc.contributor.authorKumar Singh, Nikhil
dc.contributor.authorMilgate, Andrew
dc.contributor.authorCroll, Daniel
dc.date.accessioned2022-02-17T04:38:04Z
dc.date.issued2020-12-12
dc.date.updated2021-11-28T07:23:31Z
dc.description.abstractConvergent 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.sponsorshipA. 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.mimetypeapplication/pdfen_AU
dc.identifier.citationHartmann 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.15737en_AU
dc.identifier.issn0962-1083en_AU
dc.identifier.urihttp://hdl.handle.net/1885/261228
dc.language.isoen_AUen_AU
dc.publisherBlackwell Publishing Ltden_AU
dc.rights© 2020 John Wiley & Sons Ltden_AU
dc.sourceMolecular Ecologyen_AU
dc.subjectadaptationen_AU
dc.subjectconvergent evolutionen_AU
dc.subjectfungal pathogensen_AU
dc.subjectfungicide resistanceen_AU
dc.subjectparallel evolutionen_AU
dc.subjectZymoseptoria triticien_AU
dc.titleThe complex genomic basis of rapid convergent adaptation to pesticides across continents in a fungal plant pathogenen_AU
dc.typeJournal articleen_AU
dcterms.dateAccepted2020-11-12
local.bibliographicCitation.issue21en_AU
local.bibliographicCitation.lastpage5405en_AU
local.bibliographicCitation.startpage5390en_AU
local.contributor.affiliationMcDonald, Megan, College of Science, ANUen_AU
local.contributor.affiliationHartmann, Fanny E., Université Paris‐Saclayen_AU
local.contributor.affiliationVonlanthen, Tiziana, ETH Zürichen_AU
local.contributor.affiliationKumar Singh, Nikhil, University of Neuchâtelen_AU
local.contributor.affiliationMilgate, Andrew, NSW Department of Primary Industriesen_AU
local.contributor.affiliationCroll, Daniel, University of Neuchatelen_AU
local.contributor.authoruidMcDonald, Megan, u5261870en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor310806 - Plant physiologyen_AU
local.identifier.absseo260312 - Wheaten_AU
local.identifier.ariespublicationa383154xPUB16775en_AU
local.identifier.citationvolume30en_AU
local.identifier.doi10.1111/mec.15737en_AU
local.identifier.scopusID2-s2.0-85097511650
local.publisher.urlhttps://onlinelibrary.wiley.com/en_AU
local.type.statusPublished Versionen_AU

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