A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human
Author(s) -
Tommy V. Vo,
Jishnu Das,
Michael J. Meyer,
Nicolas A. Cordero,
Nurten Akturk,
Xiaomu Wei,
Benjamin Fair,
Andrew G. Degatano,
Robert Fragoza,
Lisa Liu,
Akihisa Matsuyama,
Michelle Trickey,
Sachi Horibata,
Andrew Grimson,
Hiroyuki Yamano,
Minoru Yoshida,
Frederick P. Roth,
Jeffrey A. Pleiss,
Yu Xia,
Haiyuan Yu
Publication year - 2016
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2015.11.037
Subject(s) - interactome , biology , schizosaccharomyces pombe , proteome , computational biology , schizosaccharomyces , gene , genetics , saccharomyces cerevisiae , yeast , human proteome project , rna splicing , alternative splicing , proteomics , rna , messenger rna
Here, we present FissionNet, a proteome-wide binary protein interactome for S. pombe, comprising 2,278 high-quality interactions, of which ∼ 50% were previously not reported in any species. FissionNet unravels previously unreported interactions implicated in processes such as gene silencing and pre-mRNA splicing. We developed a rigorous network comparison framework that accounts for assay sensitivity and specificity, revealing extensive species-specific network rewiring between fission yeast, budding yeast, and human. Surprisingly, although genes are better conserved between the yeasts, S. pombe interactions are significantly better conserved in human than in S. cerevisiae. Our framework also reveals that different modes of gene duplication influence the extent to which paralogous proteins are functionally repurposed. Finally, cross-species interactome mapping demonstrates that coevolution of interacting proteins is remarkably prevalent, a result with important implications for studying human disease in model organisms. Overall, FissionNet is a valuable resource for understanding protein functions and their evolution.
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