TY - JOUR
T1 - Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains
AU - Schacherer, Joseph
AU - Ruderfer, Douglas M.
AU - Gresham, David
AU - Dolinski, Kara
AU - Botstein, David
AU - Kruglyak, Leonid
PY - 2007/3/28
Y1 - 2007/3/28
N2 - 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, ∑1278b, SK1 and BY4716) using 25mer oligonucleotide microarrays that provide complete and redundant coverage of the ∼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.
AB - 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, ∑1278b, SK1 and BY4716) using 25mer oligonucleotide microarrays that provide complete and redundant coverage of the ∼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.
UR - http://www.scopus.com/inward/record.url?scp=38649129819&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38649129819&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0000322
DO - 10.1371/journal.pone.0000322
M3 - Article
C2 - 17389913
AN - SCOPUS:38649129819
SN - 1932-6203
VL - 2
JO - PloS one
JF - PloS one
IS - 3
M1 - e322
ER -