A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Katrin Sameith - , Universitätsklinikum Utrecht (Autor:in)
  • Saman Amini - , Universitätsklinikum Utrecht (Autor:in)
  • Marian J A Groot Koerkamp - , Universitätsklinikum Utrecht (Autor:in)
  • Dik van Leenen - , Universitätsklinikum Utrecht (Autor:in)
  • Mariel Brok - , Universitätsklinikum Utrecht (Autor:in)
  • Nathalie Brabers - , Universitätsklinikum Utrecht (Autor:in)
  • Philip Lijnzaad - , Universitätsklinikum Utrecht (Autor:in)
  • Sander R van Hooff - , Universitätsklinikum Utrecht (Autor:in)
  • Joris J Benschop - , Universitätsklinikum Utrecht (Autor:in)
  • Tineke L Lenstra - , Universitätsklinikum Utrecht (Autor:in)
  • Eva Apweiler - , Universitätsklinikum Utrecht (Autor:in)
  • Sake van Wageningen - , Universitätsklinikum Utrecht (Autor:in)
  • Berend Snel - , Utrecht University (Autor:in)
  • Frank C P Holstege - , Universitätsklinikum Utrecht (Autor:in)
  • Patrick Kemmeren - , Universitätsklinikum Utrecht (Autor:in)

Abstract

BACKGROUND: Genetic interactions, or non-additive effects between genes, play a crucial role in many cellular processes and disease. Which mechanisms underlie these genetic interactions has hardly been characterized. Understanding the molecular basis of genetic interactions is crucial in deciphering pathway organization and understanding the relationship between genotype, phenotype and disease.

RESULTS: To investigate the nature of genetic interactions between gene-specific transcription factors (GSTFs) in Saccharomyces cerevisiae, we systematically analyzed 72 GSTF pairs by gene expression profiling double and single deletion mutants. These pairs were selected through previously published growth-based genetic interactions as well as through similarity in DNA binding properties. The result is a high-resolution atlas of gene expression-based genetic interactions that provides systems-level insight into GSTF epistasis. The atlas confirms known genetic interactions and exposes new ones. Importantly, the data can be used to investigate mechanisms that underlie individual genetic interactions. Two molecular mechanisms are proposed, "buffering by induced dependency" and "alleviation by derepression".

CONCLUSIONS: These mechanisms indicate how negative genetic interactions can occur between seemingly unrelated parallel pathways and how positive genetic interactions can indirectly expose parallel rather than same-pathway relationships. The focus on GSTFs is important for understanding the transcription regulatory network of yeast as it uncovers details behind many redundancy relationships, some of which are completely new. In addition, the study provides general insight into the complex nature of epistasis and proposes mechanistic models for genetic interactions, the majority of which do not fall into easily recognizable within- or between-pathway relationships.

Details

OriginalspracheEnglisch
Aufsatznummer112
FachzeitschriftBMC biology
Jahrgang13
PublikationsstatusVeröffentlicht - 23 Dez. 2015
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

PubMedCentral PMC4690272
Scopus 84951861771
ORCID /0000-0003-4306-930X/work/141545232

Schlagworte

Schlagwörter

  • Epigenesis, Genetic, Gene Expression Profiling, Gene Library, Gene Ontology, Molecular Sequence Annotation, Mutation, Saccharomyces cerevisiae/genetics, Saccharomyces cerevisiae Proteins/genetics, Transcription Factors/genetics