Genome evolution across 1,011 Saccharomyces cerevisiae isolates View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-04

AUTHORS

Jackson Peter, Matteo De Chiara, Anne Friedrich, Jia-Xing Yue, David Pflieger, Anders Bergström, Anastasie Sigwalt, Benjamin Barre, Kelle Freel, Agnès Llored, Corinne Cruaud, Karine Labadie, Jean-Marc Aury, Benjamin Istace, Kevin Lebrigand, Pascal Barbry, Stefan Engelen, Arnaud Lemainque, Patrick Wincker, Gianni Liti, Joseph Schacherer

ABSTRACT

Large-scale population genomic surveys are essential to explore the phenotypic diversity of natural populations. Here we report the whole-genome sequencing and phenotyping of 1,011 Saccharomyces cerevisiae isolates, which together provide an accurate evolutionary picture of the genomic variants that shape the species-wide phenotypic landscape of this yeast. Genomic analyses support a single 'out-of-China' origin for this species, followed by several independent domestication events. Although domesticated isolates exhibit high variation in ploidy, aneuploidy and genome content, genome evolution in wild isolates is mainly driven by the accumulation of single nucleotide polymorphisms. A common feature is the extensive loss of heterozygosity, which represents an essential source of inter-individual variation in this mainly asexual species. Most of the single nucleotide polymorphisms, including experimentally identified functional polymorphisms, are present at very low frequencies. The largest numbers of variants identified by genome-wide association are copy-number changes, which have a greater phenotypic effect than do single nucleotide polymorphisms. This resource will guide future population genomics and genotype-phenotype studies in this classic model system. More... »

PAGES

339-344

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41586-018-0030-5

DOI

http://dx.doi.org/10.1038/s41586-018-0030-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103250606

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29643504


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