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MBE Advance Access originally published online on October 13, 2004
Molecular Biology and Evolution 2005 22(2):200-209; doi:10.1093/molbev/msi006
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Molecular Biology and Evolution vol. 22 no. 2 © Society for Molecular Biology and Evolution 2005; all rights reserved.

Research Article

Determinants of Adaptive Evolution at the Molecular Level: the Extended Complexity Hypothesis

Stéphane Aris-Brosou

Bioinformatics Research Center, North Carolina State University, Raleigh

E-mail: stephane{at}statgen.ncsu.edu.

To explain why informational genes (i.e., those involved in transcription, translation, and related processes) are less likely than housekeeping genes to be horizontally transferred, Jain and coworkers proposed the complexity hypothesis. The underlying idea is that informational genes belong to large, complex systems of coevolving genes. Consequently, the likelihood of the successful horizontal transfer of a single gene from such an integrated system is expected to be low. Here, this hypothesis is extended to explain some of the determinants of the mode of evolution of coding sequences. It is proposed that genes belonging to complex systems are relatively less likely to be under adaptive evolution. To evaluate this "extended complexity hypothesis," 2,428 families and protein domains were analyzed. This analysis found that genes whose products are highly connected, located in intracellular components, and involved in complex processes and functions were more conserved and less likely to be under adaptive evolution than are other gene products. The extended complexity hypothesis suggests that both the mode and the rate of evolution of a protein are influenced by its gene ontology (localization, biological process, and molecular function) and by its connectivity.

Key Words: positive selection • adaptive evolution • gene ontology • connectivity • protein interaction networks


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