Analysis of polygenic mutants suggests a role for mediator in regulating transcriptional activation distance in Saccharomyces cerevisiae

Caitlin T. Reavey, Mark J. Hickman, Krista C. Dobi, David Botstein, Fred Winston

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Studies of natural populations of many organisms have shown that traits are often complex, caused by contributions of mutations in multiple genes. In contrast, genetic studies in the laboratory primarily focus on studying the phenotypes caused by mutations in a single gene. However, the single mutation approach may be limited with respect to the breadth and degree of new phenotypes that can be found. We have taken the approach of isolating complex, or polygenic mutants in the lab to study the regulation of transcriptional activation distance in yeast. While most aspects of eukaryotic transcription are conserved from yeast to human, transcriptional activation distance is not. In Saccharomyces cerevisiae, the upstream activating sequence (UAS) is generally found within 450 base pairs of the transcription start site (TSS) and when the UAS is moved too far away, activation no longer occurs. In contrast, metazoan enhancers can activate from as far as several hundred kilobases from the TSS. Previously, we identified single mutations that allow transcription activation to occur at a greater-than-normal distance from the GAL1 UAS. As the single mutant phenotypes were weak, we have now isolated polygenic mutants that possess strong long-distance phenotypes. By identification of the causative mutations we have accounted for most of the heritability of the phenotype in each strain and have provided evidence that the Mediator coactivator complex plays both positive and negative roles in the regulation of transcription activation distance.

Original languageEnglish (US)
Pages (from-to)599-612
Number of pages14
JournalGenetics
Volume201
Issue number2
DOIs
StatePublished - Oct 2015

All Science Journal Classification (ASJC) codes

  • Genetics

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