Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.

Publication

Hierarchical Modularity and the Evolution of Genetic Interactomes across Species.

Ryan CJ, Roguev A, Patrick K, Xu J, Jahari H, Tong Z, Beltrao P, Shales M, Qu H, Collins SR, Kliegman JI, Jiang L, Kuo D, Tosti E, Kim HS, Edelmann W, Keogh MC, Greene D, Tang C, Cunningham P, Shokat KM, Cagney G, Svensson JP, Guthrie C, Espenshade PJ, Ideker T, Krogan NJ

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for âˆ¼60% of the nonessential genome. Using these signatures, we generated a catalog of ... [more]

Mol. Cell Jun. 08, 2012; 46(5);691-704 [Pubmed: 22681890]

Quantitative Score

-2.993206623 [S score]

Throughput

High Throughput

Ontology Terms

phenotype: colony size (APO:0000063)

Additional Notes

An Epistatic MiniArray Profile (E-MAP) approach was used to quantitatively score genetic interactions based on fitness defects estimated from the colony size of double versus single mutants. Genetic interactions were considered significant if they had an S score > 1.8 for positive interactions (epistatic or suppressor interactions) and S score < -2.3 for negative interactions (synthetic sick/lethal interactions).

Related interactions

Interaction	Experimental Evidence Code	Dataset	Throughput	Score	Curated By	Notes
ASH2 SWC5	Negative Genetic Negative Genetic Mutations/deletions in separate genes, each of which alone causes a minimal phenotype, but when combined in the same cell results in a more severe fitness defect or lethality under a given condition. This term is reserved for high or low throughput studies with scores.	Roguev A (2008)	High	-11.6176	BioGRID	527482
SWC5 ASH2	Synthetic Growth Defect Synthetic Growth Defect A genetic interaction is inferred when mutations in separate genes, each of which alone causes a minimal phenotype, result in a significant growth defect under a given condition when combined in the same cell.	Dixon SJ (2008)	High	-151	BioGRID	299213

Curated By

BioGRID

Interaction Summary

SWC5

Gene Ontology Biological Process

Gene Ontology Cellular Component

ASH2