Experimental evolution of protein–protein interaction networks

Author:

Kaçar Betül123,Gaucher Eric A.24

Affiliation:

1. NASA Astrobiology Institute, Mountain View, CA 94035, U.S.A.

2. School of Biology, Georgia Institute of Technology, Atlanta, GA 30322, U.S.A.

3. Blue Marble Space Institute of Science, Seattle, WA 98145, U.S.A.

4. School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30322, U.S.A.

Abstract

The modern synthesis of evolutionary theory and genetics has enabled us to discover underlying molecular mechanisms of organismal evolution. We know that in order to maximize an organism's fitness in a particular environment, individual interactions among components of protein and nucleic acid networks need to be optimized by natural selection, or sometimes through random processes, as the organism responds to changes and/or challenges in the environment. Despite the significant role of molecular networks in determining an organism's adaptation to its environment, we still do not know how such inter- and intra-molecular interactions within networks change over time and contribute to an organism's evolvability while maintaining overall network functions. One way to address this challenge is to identify connections between molecular networks and their host organisms, to manipulate these connections, and then attempt to understand how such perturbations influence molecular dynamics of the network and thus influence evolutionary paths and organismal fitness. In the present review, we discuss how integrating evolutionary history with experimental systems that combine tools drawn from molecular evolution, synthetic biology and biochemistry allow us to identify the underlying mechanisms of organismal evolution, particularly from the perspective of protein interaction networks.

Publisher

Portland Press Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry

Reference86 articles.

1. Network biology: understanding the cell's functional organization;Barabasi;Nat. Rev. Genet.,2004

2. Exploring complex networks;Strogatz;Nature,2001

3. Optimality theory in evolutionary biology;Parker;Nature,1990

4. A system's view of the evolution of life;Williams;J. R. Soc., Interface,2007

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