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Extracting phylogenetic dimensions of coevolution reveals hidden functional signals

Despite the structural and functional information contained in the statistical coupling between pairs of residues in a protein, coevolution associated with function is often obscured by artifactual signals such as genetic drift, which shapes a protein’s phylogenetic history and gives rise to concurr...

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Autores principales: Colavin, Alexandre, Atolia, Esha, Bitbol, Anne-Florence, Huang, Kerwyn Casey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764114/
https://www.ncbi.nlm.nih.gov/pubmed/35039514
http://dx.doi.org/10.1038/s41598-021-04260-1
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author Colavin, Alexandre
Atolia, Esha
Bitbol, Anne-Florence
Huang, Kerwyn Casey
author_facet Colavin, Alexandre
Atolia, Esha
Bitbol, Anne-Florence
Huang, Kerwyn Casey
author_sort Colavin, Alexandre
collection PubMed
description Despite the structural and functional information contained in the statistical coupling between pairs of residues in a protein, coevolution associated with function is often obscured by artifactual signals such as genetic drift, which shapes a protein’s phylogenetic history and gives rise to concurrent variation between protein sequences that is not driven by selection for function. Here, we introduce a background model for phylogenetic contributions of statistical coupling that separates the coevolution signal due to inter-clade and intra-clade sequence comparisons and demonstrate that coevolution can be measured on multiple phylogenetic timescales within a single protein. Our method, nested coevolution (NC), can be applied as an extension to any coevolution metric. We use NC to demonstrate that poorly conserved residues can nonetheless have important roles in protein function. Moreover, NC improved the structural-contact predictions of several coevolution-based methods, particularly in subsampled alignments with fewer sequences. NC also lowered the noise in detecting functional sectors of collectively coevolving residues. Sectors of coevolving residues identified after application of NC were more spatially compact and phylogenetically distinct from the rest of the protein, and strongly enriched for mutations that disrupt protein activity. Thus, our conceptualization of the phylogenetic separation of coevolution provides the potential to further elucidate relationships among protein evolution, function, and genetic diseases.
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spelling pubmed-87641142022-01-18 Extracting phylogenetic dimensions of coevolution reveals hidden functional signals Colavin, Alexandre Atolia, Esha Bitbol, Anne-Florence Huang, Kerwyn Casey Sci Rep Article Despite the structural and functional information contained in the statistical coupling between pairs of residues in a protein, coevolution associated with function is often obscured by artifactual signals such as genetic drift, which shapes a protein’s phylogenetic history and gives rise to concurrent variation between protein sequences that is not driven by selection for function. Here, we introduce a background model for phylogenetic contributions of statistical coupling that separates the coevolution signal due to inter-clade and intra-clade sequence comparisons and demonstrate that coevolution can be measured on multiple phylogenetic timescales within a single protein. Our method, nested coevolution (NC), can be applied as an extension to any coevolution metric. We use NC to demonstrate that poorly conserved residues can nonetheless have important roles in protein function. Moreover, NC improved the structural-contact predictions of several coevolution-based methods, particularly in subsampled alignments with fewer sequences. NC also lowered the noise in detecting functional sectors of collectively coevolving residues. Sectors of coevolving residues identified after application of NC were more spatially compact and phylogenetically distinct from the rest of the protein, and strongly enriched for mutations that disrupt protein activity. Thus, our conceptualization of the phylogenetic separation of coevolution provides the potential to further elucidate relationships among protein evolution, function, and genetic diseases. Nature Publishing Group UK 2022-01-17 /pmc/articles/PMC8764114/ /pubmed/35039514 http://dx.doi.org/10.1038/s41598-021-04260-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Colavin, Alexandre
Atolia, Esha
Bitbol, Anne-Florence
Huang, Kerwyn Casey
Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title_full Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title_fullStr Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title_full_unstemmed Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title_short Extracting phylogenetic dimensions of coevolution reveals hidden functional signals
title_sort extracting phylogenetic dimensions of coevolution reveals hidden functional signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764114/
https://www.ncbi.nlm.nih.gov/pubmed/35039514
http://dx.doi.org/10.1038/s41598-021-04260-1
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