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dc.creatorHaridas, Sajeetes_ES
dc.creatorCastanera Andrés, Raúles_ES
dc.creatorCulley, D. E.es_ES
dc.creatorDaum, C.es_ES
dc.creatorRamírez Nasto, Lucíaes_ES
dc.creatorAlfaro Sánchez, Manueles_ES
dc.date.accessioned2020-08-05T06:00:24Z
dc.date.available2020-08-05T06:00:24Z
dc.date.issued2020
dc.identifier.issn0166-0616
dc.identifier.urihttps://hdl.handle.net/2454/37656
dc.description.abstractDothideomycetes is the largest class of kingdom Fungi and comprises an incredible diversity of lifestyles, many of which have evolved multiple times. Plant pathogens represent a major ecological niche of the class Dothideomycetes and they are known to infect most major food crops and feedstocks for biomass and biofuel production. Studying the ecology and evolution of Dothideomycetes has significant implications for our fundamental understanding of fungal evolution, their adaptation to stress and host specificity, and practical implications with regard to the effects of climate change and on the food, feed, and livestock elements of the agro-economy. In this study, we present the first large-scale, whole-genome comparison of 101 Dothideomycetes introducing 55 newly sequenced species. The availability of whole-genome data produced a high-confidence phylogeny leading to reclassification of 25 organisms, provided a clearer picture of the relationships among the various families, and indicated that pathogenicity evolved multiple times within this class. We also identified gene family expansions and contractions across the Dothideomycetes phylogeny linked to ecological niches providing insights into genome evolution and adaptation across this group. Using machine-learning methods we classified fungi into lifestyle classes with >95 % accuracy and identified a small number of gene families that positively correlated with these distinctions. This can become a valuable tool for genome-based prediction of species lifestyle, especially for rarely seen and poorly studied species.en
dc.description.sponsorshipThis manuscript has been authored by an author at Lawrence Berkeley National Laboratory under Contract No. DE-AC02-05CH11231 with the U.S. Department of Energy. R. A. and I. V. G. were supported by the NSF grants DEB-1354625 and IOS-1456958. Sequencing of Dothideomycetes genomes were conducted as part of the 1000 Fungal Genomes Project supported by the JGI Community Sequencing Project #662.en
dc.format.extent13 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherWesterdijk Fungal Biodiversity Instituteen
dc.relation.ispartofStudies in Mycology, 2020, 96, 141-153en
dc.rights© 2020 Westerdijk Fungal Biodiversity Institute. Production and hosting by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFungal evolutionen
dc.subjectGenome-based predictionen
dc.subjectMachine-learningen
dc.subjectNew taxaen
dc.title101 Dothideomycetes genomes: a test case for predicting lifestyles and emergence of pathogensen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentInstitute for Multidisciplinary Research in Applied Biology - IMABes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1016/j.simyco.2020.01.003
dc.relation.publisherversionhttps://doi.org/10.1016/j.simyco.2020.01.003
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2020 Westerdijk Fungal Biodiversity Institute. Production and hosting by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license.
La licencia del ítem se describe como © 2020 Westerdijk Fungal Biodiversity Institute. Production and hosting by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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