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Title

Modularity in the evolution of yeast protein interaction network

 

Authors

Soichi Ogishima1*, Hiroshi Tanaka1,2 & Jun Nakaya1

 

Affiliation

1Department of Bioclinical Informatics, Tohoku Medical and Megabank Organization, Tohoku University, Seiryo-cho 4-1, Aoba-ku, Sendai-shi Miyagi 980-8575 Japan; 2Department of Bioinformatics, Tokyo Medical and Dental University, Yushima 1-5-45, Bunkyo-ku, Tokyo 113-8510 Japan

 

Email

ogishima@sysmedbio.org

 

Article Type

Hypothesis

 

Date

Received July 13, 2014; Accepted July 14, 2014; Published March 31, 2015

 

Abstract

Protein interaction networks are known to exhibit remarkable structures: scale-free and small-world and modular structures. To explain the evolutionary processes of protein interaction networks possessing scale-free and small-world structures, preferential attachment and duplication-divergence models have been proposed as mathematical models. Protein interaction networks are also known to exhibit another remarkable structural characteristic, modular structure. How the protein interaction networks became to exhibit modularity in their evolution? Here, we propose a hypothesis of modularity in the evolution of yeast protein interaction network based on molecular evolutionary evidence. We assigned yeast proteins into six evolutionary ages by constructing a phylogenetic profile. We found that all the almost half of hub proteins are evolutionarily new. Examining the evolutionary processes of protein complexes, functional modules and topological modules, we also found that member proteins of these modules tend to appear in one or two evolutionary ages. Moreover, proteins in protein complexes and topological modules show significantly low evolutionary rates than those not in these modules. Our results suggest a hypothesis of modularity in the evolution of yeast protein interaction network as systems evolution.

 

Citation

Ogishima et al. Bioinformation 11(3): 127-130 (2015)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.