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

References to SciGraph publications

  • 2010-04. Origins and functional impact of copy number variation in the human genome in NATURE
  • 2006-12. Genome-wide DNA polymorphism analyses using VariScan in BMC BIOINFORMATICS
  • 2011-10. FaST linear mixed models for genome-wide association studies in NATURE METHODS
  • 2015-12. Second-generation PLINK: rising to the challenge of larger and richer datasets in GIGASCIENCE
  • 2012-12. A pipeline for automated annotation of yeast genome sequences by a conserved-synteny approach in BMC BIOINFORMATICS
  • 2011-12. Proteinortho: Detection of (Co-)orthologs in large-scale analysis in BMC BIOINFORMATICS
  • 2013-12. High quality de novo sequencing and assembly of the Saccharomyces arboricolus genome in BMC GENOMICS
  • 2009-10-08. Finding the missing heritability of complex diseases in NATURE
  • 2012-12. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler in GIGASCIENCE
  • 2010-03. Remarkably ancient balanced polymorphisms in a multi-locus gene network in NATURE
  • 2004-12. MUSCLE: a multiple sequence alignment method with reduced time and space complexity in BMC BIOINFORMATICS
  • 2015-10. A global reference for human genetic variation in NATURE
  • 2008-09. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments in GENOME BIOLOGY
  • 2009-07. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm in NATURE PROTOCOLS
  • 2017-06. Contrasting evolutionary genome dynamics between domesticated and wild yeasts in NATURE GENETICS
  • 2009-03. Population genomics of domestic and wild yeasts in NATURE
  • 2009-03. Comprehensive polymorphism survey elucidates population structure of Saccharomyces cerevisiae in NATURE
  • 2016-08. Analysis of protein-coding genetic variation in 60,706 humans in NATURE
  • 2006-09. Population genomic analysis of outcrossing and recombination in yeast in NATURE GENETICS
  • 2011-12. MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects in BMC BIOINFORMATICS
  • 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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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0030-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0030-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0030-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41586-018-0030-5'


     

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