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Environmental Robustness of the Global Yeast Genetic Interaction Network

Abstract

Phenotypes associated with genetic variants can be altered by interactions with other genetic variants (GxG), with the environment (GxE), or both (GxGxE). Yeast genetic interactions have been mapped on a global scale, but the environmental influence on the plasticity of genetic networks has not been examined systematically. To assess environmental rewiring of genetic networks, we examined 14 diverse conditions and scored 30,000 functionally representative yeast gene pairs for dynamic, differential interactions. Different conditions revealed novel differential interactions, which often uncovered functional connections between distantly related gene pairs. However, the majority of observed genetic interactions remained unchanged in different conditions, suggesting that the global yeast genetic interaction network is robust to environmental perturbation and captures the fundamental functional architecture of a eukaryotic cell.

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References
1.
Forsberg S, Bloom J, Sadhu M, Kruglyak L, Carlborg O . Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. Nat Genet. 2017; 49(4):497-503. PMC: 5459553. DOI: 10.1038/ng.3800. View

2.
Kofoed M, Milbury K, Chiang J, Sinha S, Ben-Aroya S, Giaever G . An Updated Collection of Sequence Barcoded Temperature-Sensitive Alleles of Yeast Essential Genes. G3 (Bethesda). 2015; 5(9):1879-87. PMC: 4555224. DOI: 10.1534/g3.115.019174. View

3.
Hoose S, Rawlings J, Kelly M, Leitch M, Ababneh Q, Robles J . A systematic analysis of cell cycle regulators in yeast reveals that most factors act independently of cell size to control initiation of division. PLoS Genet. 2012; 8(3):e1002590. PMC: 3305459. DOI: 10.1371/journal.pgen.1002590. View

4.
Myers C, Barrett D, Hibbs M, Huttenhower C, Troyanskaya O . Finding function: evaluation methods for functional genomic data. BMC Genomics. 2006; 7:187. PMC: 1560386. DOI: 10.1186/1471-2164-7-187. View

5.
Beggs J . Lsm proteins and RNA processing. Biochem Soc Trans. 2005; 33(Pt 3):433-8. DOI: 10.1042/BST0330433. View