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Hierarchical modularity and the evolution of genetic interactomes across species
Authors:Ryan Colm J  Roguev Assen  Patrick Kristin  Xu Jiewei  Jahari Harlizawati  Tong Zongtian  Beltrao Pedro  Shales Michael  Qu Hong  Collins Sean R  Kliegman Joseph I  Jiang Lingli  Kuo Dwight  Tosti Elena  Kim Hyun-Soo  Edelmann Winfried  Keogh Michael-Christopher  Greene Derek  Tang Chao  Cunningham Pádraig  Shokat Kevan M  Cagney Gerard  Svensson J Peter  Guthrie Christine  Espenshade Peter J  Ideker Trey  Krogan Nevan J
Institution:Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94158, USA.
Abstract: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 ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes.
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