Genetic background effects in quantitative genetics: gene-by-system interactions

Sardi, Maria; Gasch, Audrey P.

doi:10.1007/s00294-018-0835-7

Title: Genetic background effects in quantitative genetics: gene-by-system interactions

Journal Article · 11 April 2018 · Current Genetics

DOI: https://doi.org/10.1007/s00294-018-0835-7 · OSTI ID:1459533

Sardi, Maria ^[1]; Gasch, Audrey P. ^[2]

Univ. of Wisconsin, Madison, WI (United States). Great Lakes Bioenergy Research Center
Univ. of Wisconsin, Madison, WI (United States). Great Lakes Bioenergy Research Center, and Lab. of Genetics

Proper cell function depends on networks of proteins that interact physically and functionally to carry out physiological processes. Thus, it seems logical that the impact of sequence variation in one protein could be significantly influenced by genetic variants at other loci in a genome. Nonetheless, the importance of such genetic interactions, known as epistasis, in explaining phenotypic variation remains a matter of debate in genetics. Recent work from our lab revealed that genes implicated from an association study of toxin tolerance in Saccharomyces cerevisiae show extensive interactions with the genetic background: most implicated genes, regardless of allele, are important for toxin tolerance in only one of two tested strains. The prevalence of background effects in our study adds to other reports of widespread genetic-background interactions in model organisms. We suggest that these effects represent many-way interactions with myriad features of the cellular system that vary across classes of individuals. Such gene-by-system interactions may influence diverse traits and require new modeling approaches to accurately represent genotype–phenotype relationships across individuals.

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Research Organization:: Univ. of Wisconsin, Madison, WI (United States). Great Lakes Bioenergy Research Center

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0018409

OSTI ID:: 1459533

Journal Information:: Current Genetics, Vol. 64, Issue 6; ISSN 0172-8083

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 10 works

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