Unknown

Dataset Information

0

The molecular basis of phenotypic variation in yeast.


ABSTRACT: The power of yeast genetics has now been extensively applied to phenotypic variation among strains of Saccharomyces cerevisiae. As a result, over 100 genes and numerous sequence variants have been identified, providing us with a general characterization of mutations underlying quantitative trait variation. Most quantitative trait alleles exert considerable phenotypic effects and alter conserved amino acid positions within protein coding sequences. When examined, quantitative trait alleles influence the expression of numerous genes, most of which are unrelated to an allele's phenotypic effect. The profile of quantitative trait alleles has proven useful to reverse quantitative genetics approaches and supports the use of systems genetics approaches to synthesize the molecular basis of trait variation across multiple strains.

SUBMITTER: Fay JC 

PROVIDER: S-EPMC3899683 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

The molecular basis of phenotypic variation in yeast.

Fay Justin C JC  

Current opinion in genetics & development 20131121 6


The power of yeast genetics has now been extensively applied to phenotypic variation among strains of Saccharomyces cerevisiae. As a result, over 100 genes and numerous sequence variants have been identified, providing us with a general characterization of mutations underlying quantitative trait variation. Most quantitative trait alleles exert considerable phenotypic effects and alter conserved amino acid positions within protein coding sequences. When examined, quantitative trait alleles influe  ...[more]

Similar Datasets

| S-EPMC3291563 | biostudies-literature
| S-EPMC3945093 | biostudies-literature
| S-EPMC3641629 | biostudies-literature
| S-EPMC6366923 | biostudies-literature
| S-EPMC2978756 | biostudies-literature
| S-EPMC8315545 | biostudies-literature
| S-EPMC11308186 | biostudies-literature
| S-EPMC4332356 | biostudies-literature
2009-12-02 | E-GEOD-11099 | biostudies-arrayexpress
2009-12-03 | GSE11099 | GEO