Abstract

In cellular systems, biophysical interactions between macromolecules underlie a complex web of functional interactions. How biophysical and functional networks are coordinated, whether all biophysical interactions correspond to functional interactions, and how such biophysical-versus-functional network coordination is shaped by evolutionary forces are all largely unanswered questions. Here, we investigate these questions using an “inter-interactome” approach. We systematically probed the yeast and human proteomes for interactions between proteins from these two species and functionally characterized the resulting inter-interactome network. After a billion years of evolutionary divergence, the yeast and human proteomes are still capable of forming a biophysical network with properties that resemble those of intra-species networks. Although substantially reduced relative to intra-species networks, the levels of functional overlap in the yeast–human inter-interactome network uncover significant remnants of co-functionality widely preserved in the two proteomes beyond human–yeast homologs. Our data support evolutionary selection against biophysical interactions between proteins with little or no co-functionality. Such non-functional interactions, however, represent a reservoir from which nascent functional interactions may arise.

Details

Title
An inter-species protein–protein interaction network across vast evolutionary distance
Author
Zhong, Quan 1 ; Pevzner, Samuel J 2 ; Tong, Hao 3 ; Wang, Yang 3 ; Mosca, Roberto 4 ; Menche, Jörg 5   VIAFID ORCID Logo  ; Taipale, Mikko 6 ; Taşan, Murat 7 ; Fan, Changyu 3 ; Yang, Xinping 3 ; Haley, Patrick 3 ; Murray, Ryan R 3 ; Mer, Flora 3 ; Gebreab, Fana 3 ; Tam, Stanley 3 ; MacWilliams, Andrew 3 ; Dricot, Amélie 3 ; Reichert, Patrick 3 ; Santhanam, Balaji 3 ; Ghamsari, Lila 3 ; Calderwood, Michael A 3   VIAFID ORCID Logo  ; Rolland, Thomas 3 ; Charloteaux, Benoit 3 ; Lindquist, Susan 8 ; Albert-László Barabási 9 ; Hill, David E 3   VIAFID ORCID Logo  ; Aloy, Patrick 10 ; Cusick, Michael E 3 ; Yu, Xia 11 ; Roth, Frederick P 12 ; Vidal, Marc 3   VIAFID ORCID Logo 

 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Department of Biological Sciences, Wright State University, Dayton, OH, USA 
 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA; Department of Biomedical Engineering, Boston University, Boston, MA, USA; Boston University School of Medicine, Boston, MA, USA 
 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA 
 Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain 
 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Center for Complex Network Research (CCNR) and Department of Physics, Northeastern University, Boston, MA, USA 
 Whitehead Institute for Biomedical Research, Cambridge, MA, USA 
 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON, Canada; Donnelly Centre, University of Toronto, Toronto, ON, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, ON, Canada 
 Whitehead Institute for Biomedical Research, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA 
 Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Center for Complex Network Research (CCNR) and Department of Physics, Northeastern University, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA 
10  Joint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Catalonia, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain 
11  Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Bioengineering, McGill University, Montreal, QC, Canada 
12  Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, ON, Canada; Donnelly Centre, University of Toronto, Toronto, ON, Canada; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, ON, Canada; Canadian Institute for Advanced Research, Toronto, ON, Canada 
Section
Articles
Publication year
2016
Publication date
Apr 2016
Publisher
EMBO Press
e-ISSN
17444292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2290237804
Copyright
© 2016. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.