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Towards a complete view of the genetics of gene expression variation in yeast

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If you have a question about this talk, please contact Caroline Newnham .

Host: Chris Illingworth

Genetic variation among individuals is an important source of phenotypic variation within species. Many of these genetic effects are due to regulatory variation that influences gene expression. However, the full extent and nature of regulatory variation remains unknown due to the limited sample sizes that are typically studied, resulting in low statistical power. I will discuss our ongoing work addressing this limitation for the proteome and the transcriptome in the yeast Saccharomyces cerevisiae. For protein levels, we devised an approach based on extremely large pools of genetically different cells that carry proteins with fluorescent tags. For mRNA levels, we used RNA sequencing to profile gene expression in more than 1,000 recombinant yeast individuals. The statistical power of this dataset is high enough to map thousands of regulatory loci that together account for ~80% of the heritability of mRNA levels. Together, these data provide a nearly exhaustive view of how genetic variation influences gene expression.

This talk is part of the Genetics Seminar series.

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