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A PROTEOME-WIDE FISSION YEAST INTERACTOME REVEALS NETWORK EVOLUTION PRINCIPLES FROM YEASTS

Saturday, February 18, 2017
Exhibit Hall (Hynes Convention Center)
Jishnu Das, Biological Statistics and Computational Biology, Massachusetts Institute of Technology, Cambridge, MA
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 Bayesian 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.