Hierarchical Modularity and the Evolution of Genetic Interactomes across Species

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Title: Hierarchical Modularity and the Evolution of Genetic Interactomes across Species
Authors: Ryan, Colm J.Roguev, AssenPatrick, KristinGreene, DerekCunningham, PádraigCagney, Gerardet al.
Permanent link: http://hdl.handle.net/10197/4461
Date: Jun-2012
Online since: 2013-07-22T14:18:36Z
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.
Type of material: Journal Article
Publisher: Elsevier
Journal: Molecular cell
Volume: 46
Issue: 5
Start page: 691
End page: 704
Copyright (published version): 2012 Elsevier Inc.
Keywords: Genetic interactionsEpistatic interactionsSchizosaccharomyces pombeSaccharomyces cerevisiae
DOI: 10.1016/j.molcel.2012.05.028
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Computer Science Research Collection
Biomolecular and Biomedical Science Research Collection

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