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Covariation Is a Poor Measure of Molecular Coevolution

Recent developments in the analysis of amino acid covariation are leading to breakthroughs in protein structure prediction, protein design, and prediction of the interactome. It is assumed that observed patterns of covariation are caused by molecular coevolution, where substitutions at one site affe...

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Autores principales: Talavera, David, Lovell, Simon C., Whelan, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540965/
https://www.ncbi.nlm.nih.gov/pubmed/25944916
http://dx.doi.org/10.1093/molbev/msv109
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author Talavera, David
Lovell, Simon C.
Whelan, Simon
author_facet Talavera, David
Lovell, Simon C.
Whelan, Simon
author_sort Talavera, David
collection PubMed
description Recent developments in the analysis of amino acid covariation are leading to breakthroughs in protein structure prediction, protein design, and prediction of the interactome. It is assumed that observed patterns of covariation are caused by molecular coevolution, where substitutions at one site affect the evolutionary forces acting at neighboring sites. Our theoretical and empirical results cast doubt on this assumption. We demonstrate that the strongest coevolutionary signal is a decrease in evolutionary rate and that unfeasibly long times are required to produce coordinated substitutions. We find that covarying substitutions are mostly found on different branches of the phylogenetic tree, indicating that they are independent events that may or may not be attributable to coevolution. These observations undermine the hypothesis that molecular coevolution is the primary cause of the covariation signal. In contrast, we find that the pairs of residues with the strongest covariation signal tend to have low evolutionary rates, and that it is this low rate that gives rise to the covariation signal. Slowly evolving residue pairs are disproportionately located in the protein’s core, which explains covariation methods’ ability to detect pairs of residues that are close in three dimensions. These observations lead us to propose the “coevolution paradox”: The strength of coevolution required to cause coordinated changes means the evolutionary rate is so low that such changes are highly unlikely to occur. As modern covariation methods may lead to breakthroughs in structural genomics, it is critical to recognize their biases and limitations.
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spelling pubmed-45409652015-08-20 Covariation Is a Poor Measure of Molecular Coevolution Talavera, David Lovell, Simon C. Whelan, Simon Mol Biol Evol Methods Recent developments in the analysis of amino acid covariation are leading to breakthroughs in protein structure prediction, protein design, and prediction of the interactome. It is assumed that observed patterns of covariation are caused by molecular coevolution, where substitutions at one site affect the evolutionary forces acting at neighboring sites. Our theoretical and empirical results cast doubt on this assumption. We demonstrate that the strongest coevolutionary signal is a decrease in evolutionary rate and that unfeasibly long times are required to produce coordinated substitutions. We find that covarying substitutions are mostly found on different branches of the phylogenetic tree, indicating that they are independent events that may or may not be attributable to coevolution. These observations undermine the hypothesis that molecular coevolution is the primary cause of the covariation signal. In contrast, we find that the pairs of residues with the strongest covariation signal tend to have low evolutionary rates, and that it is this low rate that gives rise to the covariation signal. Slowly evolving residue pairs are disproportionately located in the protein’s core, which explains covariation methods’ ability to detect pairs of residues that are close in three dimensions. These observations lead us to propose the “coevolution paradox”: The strength of coevolution required to cause coordinated changes means the evolutionary rate is so low that such changes are highly unlikely to occur. As modern covariation methods may lead to breakthroughs in structural genomics, it is critical to recognize their biases and limitations. Oxford University Press 2015-09 2015-05-11 /pmc/articles/PMC4540965/ /pubmed/25944916 http://dx.doi.org/10.1093/molbev/msv109 Text en © The Author 2015. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods
Talavera, David
Lovell, Simon C.
Whelan, Simon
Covariation Is a Poor Measure of Molecular Coevolution
title Covariation Is a Poor Measure of Molecular Coevolution
title_full Covariation Is a Poor Measure of Molecular Coevolution
title_fullStr Covariation Is a Poor Measure of Molecular Coevolution
title_full_unstemmed Covariation Is a Poor Measure of Molecular Coevolution
title_short Covariation Is a Poor Measure of Molecular Coevolution
title_sort covariation is a poor measure of molecular coevolution
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540965/
https://www.ncbi.nlm.nih.gov/pubmed/25944916
http://dx.doi.org/10.1093/molbev/msv109
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