BergstromMBE2014.pdf (886.54 kB)
A High-Definition View of Functional Genetic Variation from Natural Yeast Genomes
journal contributionposted on 2018-02-13, 14:31 authored by Anders Bergström, Jared T. Simpson, Francisco Salinas, Benjamin Barré, Leopold Parts, Amin Zia, Alex N. Nguyen Ba, Alan M. Moses, Edward J. Louis, Ville Mustonen, Jonas Warringer, Richard Durbin, Gianni Liti
The question of how genetic variation in a population influences phenotypic variation and evolution is of major importance in modern biology. Yet much is still unknown about the relative functional importance of different forms of genome variation and how they are shaped by evolutionary processes. Here we address these questions by population level sequencing of 42 strains from the budding yeast Saccharomyces cerevisiae and its closest relative S. paradoxus. We find that genome content variation, in the form of presence or absence as well as copy number of genetic material, is higher within S. cerevisiae than within S. paradoxus, despite genetic distances as measured in single-nucleotide polymorphisms being vastly smaller within the former species. This genome content variation, as well as loss-of-function variation in the form of premature stop codons and frameshifting indels, is heavily enriched in the subtelomeres, strongly reinforcing the relevance of these regions to functional evolution. Genes affected by these likely functional forms of variation are enriched for functions mediating interaction with the external environment (sugar transport and metabolism, flocculation, metal transport, and metabolism). Our results and analyses provide a comprehensive view of genomic diversity in budding yeast and expose surprising and pronounced differences between the variation within S. cerevisiae and that within S. paradoxus. We also believe that the sequence data and de novo assemblies will constitute a useful resource for further evolutionary and population genomics studies.
The authors thank all the members of the Sanger Institute sequencing production teams for generating the sequence data. The authors also thank Conrad Nieduszynski for constructive feedback on the manuscript and Magnus Alm Rosenblad for assistance with computing resources. This work was supported by grants from ATIP-Avenir (CNRS/ INSERM), ARC (grant number SFI20111203947), and FP7- PEOPLE-2012-CIG (grant number 322035) to G.L., the Wellcome Trust (grant number WT077192/Z/05/Z) to R.D., and Becas Chile to F.S.
CitationMolecular Biology and Evolution, 2014, 31 (4), pp. 872-888 (17)
Author affiliation/Organisation/COLLEGE OF LIFE SCIENCES/Biological Sciences/Genetics and Genome Biology
- VoR (Version of Record)
Published inMolecular Biology and Evolution
PublisherOxford University Press (OUP) for Society for Molecular Biology and Evolution
NotesSupplementary figures S1–S6 and tables S1 are available at Molecular Biology and Evolution online (http://www.mbe.oxfordjournals.org/)
Science & TechnologyLife Sciences & BiomedicineBiochemistry & Molecular BiologyEvolutionary BiologyGenetics & Hereditypopulation genomicsfunctional variationgenome evolutionyeastsubtelomeresloss-of-function variantsSACCHAROMYCES-SENSU-STRICTOCOPY NUMBER VARIATIONPOPULATION GENOMICSCEREVISIAE STRAINSSEQUENCING DATACOMPLEX TRAITSBUDDING YEASTEVOLUTIONDIVERSITYPARADOXUS