Abstract
Ten years have passed since the genome of Saccharomyces cerevisiae-more precisely, the S288c strain-was completely sequenced. However, experimental work in yeast is commonly performed using strains that are of unknown genetic relationship to S288c. Here, we characterized the nucleotide-level similarity between S288c and seven commonly used lab strains (A364A, W303, FL100, CEN.PK, summation 1278b, SK1 and BY4716) using 25mer oligonucleotide microarrays that provide complete and redundant coverage of the approximately 12 Mb Saccharomyces cerevisiae genome. Using these data, we assessed the frequency and distribution of nucleotide variation in comparison to the sequenced reference genome. These data allow us to infer the relationships between experimentally important strains of yeast and provide insight for experimental designs that are sensitive to sequence variation. We propose a rational approach for near complete sequencing of strains related to the reference using these data and directed re-sequencing. These data and new visualization tools are accessible online in a new resource: the Yeast SNPs Browser (YSB; http://gbrowse.princeton.edu/cgi-bin/gbrowse/yeast_strains_snps) that is available to all researchers.
MeSH Terms
Chromosomes, Fungal/genetics
Genetic Variation
Genome, Fungal
Genome-Wide Association Study
Nucleic Acid Hybridization/methods
Nucleotides/genetics
Oligonucleotide Array Sequence Analysis
Polymorphism, Single Nucleotide
Saccharomyces cerevisiae/classification,genetics
Sequence Deletion
Species Specificity
Spores, Fungal/genetics
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Schacherer Joseph
Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America.
Ruderfer Douglas M
Gresham David
Dolinski Kara
Botstein David
Kruglyak Leonid
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