101 Dothideomycetes genomes: A test case for predicting lifestyles and emergence of pathogens

被引:140
作者
Haridas, S. [1 ]
Albert, R. [1 ,2 ]
Binder, M. [3 ]
Bloem, J. [3 ]
LaButti, K. [1 ]
Salamov, A. [1 ]
Andreopoulos, B. [1 ]
Baker, S. E. [4 ]
Barry, K. [1 ]
Bills, G. [5 ]
Bluhm, B. H. [6 ]
Cannon, C. [7 ]
Castanera, R. [1 ,8 ,20 ]
Culley, D. E. [4 ]
Daum, C. [1 ]
Ezra, D. [9 ]
Gonzalez, J. B. [10 ]
Henrissat, B. [11 ,12 ,13 ]
Kuo, A. [1 ]
Liang, C. [14 ,21 ]
Lipzen, A. [1 ]
Lutzoni, F. [15 ]
Magnuson, J. [4 ]
Mondo, S. J. [1 ,16 ]
Nolan, M. [1 ]
Ohm, R. A. [1 ,17 ]
Pangilinan, J. [1 ]
Park, H-J [10 ]
Ramirez, L. [8 ]
Alfaro, M. [8 ]
Sun, H. [1 ]
Tritt, A. [1 ]
Yoshinaga, Y. [1 ]
Zwiers, L-H [3 ]
Turgeon, B. G. [10 ]
Goodwin, S. B. [18 ]
Spatafora, J. W. [19 ]
Crous, P. W. [3 ,17 ]
Grigoriev, I., V [1 ,2 ]
机构
[1] Lawrence Berkeley Natl Lab, US Dept Energy Joint Genome Inst, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Dept Plant & Microbial Biol, Berkeley, CA 94720 USA
[3] Westerdijk Fungal Biodivers Inst, Utrecht, Netherlands
[4] Pacific Northwest Natl Lab, Funct & Syst Biol Grp, Environm Mol Sci Div, Earth & Biol Sci Directorate, Richland, WA 99352 USA
[5] Univ Texas Hlth Sci Ctr Houston, Houston, TX 77030 USA
[6] Univ Arkansas, Fayelletville, AR USA
[7] Texas Tech Univ, Lubbock, TX 79409 USA
[8] Univ Publ Navarra, Inst Multidisciplinary Res Appl Biol IMAB UPNA, Navarra, Spain
[9] Agr Res Org, Volcani Ctr, Rishon Letsiyon, Israel
[10] Cornell Univ, Sect Plant Pathol & Plant Microbe Biol, Sch Integrat Plant Sci, Ithaca, NY USA
[11] Aix Marseille Univ, CNRS, Marseille, France
[12] INRA, Marseille, France
[13] King Abdulaziz Univ, Dept Biol Sci, Jeddah, Saudi Arabia
[14] Qingdao Agr Univ, Coll Agron & Plant Protect, Qingdao, Shandong, Peoples R China
[15] Duke Univ, Dept Biol, Durham, NC USA
[16] Colorado State Univ, Bioagr Sci & Pest Management Dept, Ft Collins, CO 80523 USA
[17] Univ Utrecht, Fac Sci, Dept Biol, Microbiol, Utrecht, Netherlands
[18] ARS, USDA, 915 W State St, W Lafayette, IN USA
[19] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA
[20] Ctr Res Agr Genom CSIC IRTA UAB UB, Campus UAB,Edif Crag, Barcelona 08193, Spain
[21] Qingdao Agr Univ, Coll Plant Hlth & Med, Qingdao, Shandong, Peoples R China
关键词
Fungal evolution; Genome-based prediction; Machine-learning; New taxa; FUNGI; TOOL; PHYLOGENY; VIRULENCE; PROTEIN;
D O I
10.1016/j.simyco.2020.01.003
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:141 / 153
页数:13
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