ArticleProceedings. Biological sciences2015
Dynamic sensitivity and nonlinear interactions influence the system-level evolutionary patterns of phototransduction proteins.
Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Selection on Network Dynamics Drives Differential Rates of Protein Domain Evolution.PLoS genetics · 2016Article
- Functional role of positively selected amino acid substitutions in mammalian rhodopsin evolution.Scientific reports · 2016Article
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3 authors.
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Abstract
Determining the influence of complex, molecular-system dynamics on the evolution of proteins is hindered by the significant challenge of quantifying the control exerted by the proteins on system output. We have employed a combination of systems biology and molecular evolution analyses in a first attempt to unravel this relationship. We employed a comprehensive mathematical model of mammalian phototransduction to predict the degree of influence that each protein in the system exerts on the high-level dynamic behaviour. We found that the genes encoding the most dynamically sensitive proteins exhibit relatively relaxed evolutionary constraint. We also investigated the evolutionary and epistatic influences of the many nonlinear interactions between proteins in the system and found several pairs to have coevolved, including those whose interactions are purely dynamical with respect to system output. This evidence points to a key role played by nonlinear system dynamics in influencing patterns of molecular evolution.
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