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Convergent expansions of keystone gene families drive metabolic innovation in a major eukaryotic clade.
David, Kyle T; Schraiber, Joshua G; Crandall, Johnathan G; Labella, Abigal L; Opulente, Dana A; Harrison, Marie-Claire; Wolters, John F; Zhou, Xiaofan; Shen, Xing-Xing; Groenewald, Marizeth; Hittinger, Chris Todd; Pennell, Matt; Rokas, Antonis.
Affiliation
  • David KT; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA.
  • Schraiber JG; Departments of Quantitative and Computational Biology and Biological Sciences, University of Southern California, Los Angeles CA 90089, USA.
  • Crandall JG; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA.
  • Labella AL; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA.
  • Opulente DA; Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte NC 28223, USA.
  • Harrison MC; Departments of Quantitative and Computational Biology and Biological Sciences, University of Southern California, Los Angeles CA 90089, USA.
  • Wolters JF; Department of Biology, Villanova University, Villanova PA 19085, USA.
  • Zhou X; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA.
  • Shen XX; Departments of Quantitative and Computational Biology and Biological Sciences, University of Southern California, Los Angeles CA 90089, USA.
  • Groenewald M; Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China.
  • Hittinger CT; Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
  • Pennell M; Westerdijk Fungal Biodiversity Institute, 3584 Utrecht, The Netherlands.
  • Rokas A; Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA.
bioRxiv ; 2024 Jul 23.
Article in En | MEDLINE | ID: mdl-39091791
ABSTRACT
Many remarkable innovations have repeatedly occurred across vast evolutionary distances. When convergent traits emerge on the tree of life, they are sometimes driven by the same underlying gene families, while other times many different gene families are involved. Conversely, a gene family may be repeatedly recruited for a single trait or many different traits. To understand the general rules governing convergence at both genomic and phenotypic levels, we systematically tested associations between 56 binary metabolic traits and gene count in 14,710 gene families from 993 species of Saccharomycotina yeasts. Using a recently developed phylogenetic approach that reduces spurious correlations, we discovered that gene family expansion and contraction was significantly linked to trait gain and loss in 45/56 (80%) of traits. While 601/746 (81%) of significant gene families were associated with only one trait, we also identified several 'keystone' gene families that were significantly associated with up to 13/56 (23%) of all traits. These results indicate that metabolic innovations in yeasts are governed by a narrow set of major genetic elements and mechanisms.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: Country of publication: