Comprehensive polymorphism survey elucidates population structure of saccharomyces cerevisiae

ABSTRACT Comprehensive identification of polymorphisms among individuals within a species is essential both for studying the genetic basis of phenotypic differences and for elucidating the

evolutionary history of the species. Large-scale polymorphism surveys have recently been reported for human1, mouse2 and _Arabidopsis thaliana_3. Here we report a nucleotide-level survey of

genomic variation in a diverse collection of 63 _Saccharomyces cerevisiae_ strains sampled from different ecological niches (beer, bread, vineyards, immunocompromised individuals, various

fermentations and nature) and from locations on different continents. We hybridized genomic DNA from each strain to whole-genome tiling microarrays and detected 1.89 million single

nucleotide polymorphisms, which were grouped into 101,343 distinct segregating sites. We also identified 3,985 deletion events of length >200 base pairs among the surveyed strains. We

analysed the genome-wide patterns of nucleotide polymorphism and deletion variants, and measured the extent of linkage disequilibrium in _S. cerevisiae_. These results and the polymorphism

resource we have generated lay the foundation for genome-wide association studies in yeast. We also examined the population structure of _S. cerevisiae_, providing support for multiple

domestication events as well as insight into the origins of pathogenic strains. Access through your institution Buy or subscribe This is a preview of subscription content, access via your

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GENOME STRUCTURAL LANDSCAPE IN _SACCHAROMYCES CEREVISIAE_ Article Open access 31 July 2023 ANCIENT AND RECENT ORIGINS OF SHARED POLYMORPHISMS IN YEAST Article 12 March 2024 MACROEVOLUTIONARY

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researchers and institutions, and especially J. Fay, for sharing yeast strains. We thank K. Dolinski and J. Matese for technical support and D. Gresham for comments on the manuscript. The

authors acknowledge discussions with members of the Kruglyak and Botstein laboratories. This work was supported by NIH grant R37 MH059520 and a James S. McDonnell Foundation Centennial

Fellowship to L.K., and NIH grant GM071508 to the Lewis-Sigler Institute. AUTHOR INFORMATION Author notes * Joseph Schacherer Present address: Present address: Department of Molecular

Genetics, Genomics and Microbiology, Louis-Pasteur University and CNRS, UMR7156, Strasbourg 67083, France., * Joseph Schacherer and Joshua A. Shapiro: These authors contributed equally to

this work. AUTHORS AND AFFILIATIONS * Department of Ecology and Evolutionary Biology and Howard Hughes Medical Institute, Lewis-Sigler Institute for Integrative Genomics, Princeton

University, Princeton, New Jersey 08544, USA, Joseph Schacherer, Joshua A. Shapiro, Douglas M. Ruderfer & Leonid Kruglyak Authors * Joseph Schacherer View author publications You can

also search for this author inPubMed Google Scholar * Joshua A. Shapiro View author publications You can also search for this author inPubMed Google Scholar * Douglas M. Ruderfer View author

publications You can also search for this author inPubMed Google Scholar * Leonid Kruglyak View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING

AUTHOR Correspondence to Leonid Kruglyak. SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION This file contains Supplementary Figures S1- S9 and Supplementary Tables 1 and 4 (PDF 2229 kb)

TABLE 2 This file contains Supplementary Table 2 (XLS 376 kb) TABLE 3 This file contains Supplementary Table 3 (XLS 70 kb) POWERPOINT SLIDES POWERPOINT SLIDE FOR FIG. 1 POWERPOINT SLIDE FOR

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polymorphism survey elucidates population structure of _Saccharomyces cerevisiae_. _Nature_ 458, 342–345 (2009). https://doi.org/10.1038/nature07670 Download citation * Received: 18 June

2008 * Accepted: 25 November 2008 * Published: 11 February 2009 * Issue Date: 19 March 2009 * DOI: https://doi.org/10.1038/nature07670 SHARE THIS ARTICLE Anyone you share the following link

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