Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains.
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 similar...
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doaj-0d69192bf3ba4476ad356857f390b7542020-11-24T22:16:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032007-03-0123e32210.1371/journal.pone.0000322Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains.Joseph SchachererDouglas M RuderferDavid GreshamKara DolinskiDavid BotsteinLeonid KruglyakTen 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.http://europepmc.org/articles/PMC1829191?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joseph Schacherer Douglas M Ruderfer David Gresham Kara Dolinski David Botstein Leonid Kruglyak |
spellingShingle |
Joseph Schacherer Douglas M Ruderfer David Gresham Kara Dolinski David Botstein Leonid Kruglyak Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. PLoS ONE |
author_facet |
Joseph Schacherer Douglas M Ruderfer David Gresham Kara Dolinski David Botstein Leonid Kruglyak |
author_sort |
Joseph Schacherer |
title |
Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. |
title_short |
Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. |
title_full |
Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. |
title_fullStr |
Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. |
title_full_unstemmed |
Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains. |
title_sort |
genome-wide analysis of nucleotide-level variation in commonly used saccharomyces cerevisiae strains. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2007-03-01 |
description |
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. |
url |
http://europepmc.org/articles/PMC1829191?pdf=render |
work_keys_str_mv |
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