S. Haridas , R. Albert , M. Binder , J. Bloem , K. LaButti , A. Salamov , B. Andreopoulos , S.E. Baker , K. Barry , G. Bills , B.H. Bluhm , C. Cannon , R. Castanera , D.E. Culley , C. Daum , D. Ezra , J.B. González , B. Henrissat , A. Kuo , C. Liang , I.V. Grigoriev
{"title":"101 Dothideomycetes genomes: A test case for predicting lifestyles and emergence of pathogens","authors":"S. Haridas , R. Albert , M. Binder , J. Bloem , K. LaButti , A. Salamov , B. Andreopoulos , S.E. Baker , K. Barry , G. Bills , B.H. Bluhm , C. Cannon , R. Castanera , D.E. Culley , C. Daum , D. Ezra , J.B. González , B. Henrissat , A. Kuo , C. Liang , I.V. Grigoriev","doi":"10.1016/j.simyco.2020.01.003","DOIUrl":null,"url":null,"abstract":"<div><p><em>Dothideomycetes</em> 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 <em>Dothideomycetes</em> and they are known to infect most major food crops and feedstocks for biomass and biofuel production. Studying the ecology and evolution of <em>Dothideomycetes</em> 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 <em>Dothideomycetes</em> 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 <em>Dothideomycetes</em> 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.</p></div>","PeriodicalId":22036,"journal":{"name":"Studies in Mycology","volume":"96 ","pages":"Pages 141-153"},"PeriodicalIF":14.1000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.simyco.2020.01.003","citationCount":"112","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Mycology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0166061620300038","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MYCOLOGY","Score":null,"Total":0}
引用次数: 112
Abstract
Dothideomycetes 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.
期刊介绍:
The international journal Studies in Mycology focuses on advancing the understanding of filamentous fungi, yeasts, and various aspects of mycology. It publishes comprehensive systematic monographs as well as topical issues covering a wide range of subjects including biotechnology, ecology, molecular biology, pathology, and systematics. This Open-Access journal offers unrestricted access to its content.
Each issue of Studies in Mycology consists of around 5 to 6 papers, either in the form of monographs or special focused topics. Unlike traditional length restrictions, the journal encourages submissions of manuscripts with a minimum of 50 A4 pages in print. This ensures a thorough exploration and presentation of the research findings, maximizing the depth of the published work.