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Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules

Coevolutionary networks can encapsulate information about the dynamics of presence and absence of gene families in organisms. Analysis of such networks should reveal fundamental principles underlying the evolution of cellular systems and the functionality of sets of genes. In this study, we describe...

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Autores principales: Zhang, Xiuwei, Kupiec, Martin, Gophna, Uri, Tuller, Tamir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654409/
https://www.ncbi.nlm.nih.gov/pubmed/21498882
http://dx.doi.org/10.1093/gbe/evr030
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author Zhang, Xiuwei
Kupiec, Martin
Gophna, Uri
Tuller, Tamir
author_facet Zhang, Xiuwei
Kupiec, Martin
Gophna, Uri
Tuller, Tamir
author_sort Zhang, Xiuwei
collection PubMed
description Coevolutionary networks can encapsulate information about the dynamics of presence and absence of gene families in organisms. Analysis of such networks should reveal fundamental principles underlying the evolution of cellular systems and the functionality of sets of genes. In this study, we describe a new approach for analyzing coevolutionary networks. Our method detects Mutually Exclusive Orthologous Modules (MEOMs). A MEOM is composed of two sets of gene families, each including gene families that tend to appear in the same organisms, such that the two sets tend to mutually exclude each other (if one set appears in a certain organism the second set does not). Thus, a MEOM reflects the evolutionary replacement of one set of genes by another due to reasons such as lineage/environmental specificity, incompatibility, or functional redundancy. We use our method to analyze a coevolutionary network that is based on 383 microorganisms from the three domains of life. As we demonstrate, our method is useful for detecting meaningful evolutionary clades of organisms as well as sets of proteins that interact with each other. Among our results, we report that: 1) MEOMs tend to include gene families whose cellular functions involve transport, energy production, metabolism, and translation, suggesting that changes in the metabolic environments that require adaptation to new sources of energy are central triggers of complex/pathway replacement in evolution. 2) Many MEOMs are related to outer membrane proteins, such proteins are involved in interaction with the environment and could thus be replaced as a result of adaptation. 3) MEOMs tend to separate organisms with large phylogenetic distance but they also separate organisms that live in different ecological niches. 4) Strikingly, although many MEOMs can be identified, there are much fewer cases where the two cliques in the MEOM completely mutually exclude each other, demonstrating the flexibility of protein evolution. 5) CO dehydrogenase and thymidylate synthase and the glycine cleavage genes mutually exclude each other in archaea; this may represent an alternative route for generation of methyl donors for thymidine synthesis.
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spelling pubmed-56544092017-10-30 Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules Zhang, Xiuwei Kupiec, Martin Gophna, Uri Tuller, Tamir Genome Biol Evol Research Articles Coevolutionary networks can encapsulate information about the dynamics of presence and absence of gene families in organisms. Analysis of such networks should reveal fundamental principles underlying the evolution of cellular systems and the functionality of sets of genes. In this study, we describe a new approach for analyzing coevolutionary networks. Our method detects Mutually Exclusive Orthologous Modules (MEOMs). A MEOM is composed of two sets of gene families, each including gene families that tend to appear in the same organisms, such that the two sets tend to mutually exclude each other (if one set appears in a certain organism the second set does not). Thus, a MEOM reflects the evolutionary replacement of one set of genes by another due to reasons such as lineage/environmental specificity, incompatibility, or functional redundancy. We use our method to analyze a coevolutionary network that is based on 383 microorganisms from the three domains of life. As we demonstrate, our method is useful for detecting meaningful evolutionary clades of organisms as well as sets of proteins that interact with each other. Among our results, we report that: 1) MEOMs tend to include gene families whose cellular functions involve transport, energy production, metabolism, and translation, suggesting that changes in the metabolic environments that require adaptation to new sources of energy are central triggers of complex/pathway replacement in evolution. 2) Many MEOMs are related to outer membrane proteins, such proteins are involved in interaction with the environment and could thus be replaced as a result of adaptation. 3) MEOMs tend to separate organisms with large phylogenetic distance but they also separate organisms that live in different ecological niches. 4) Strikingly, although many MEOMs can be identified, there are much fewer cases where the two cliques in the MEOM completely mutually exclude each other, demonstrating the flexibility of protein evolution. 5) CO dehydrogenase and thymidylate synthase and the glycine cleavage genes mutually exclude each other in archaea; this may represent an alternative route for generation of methyl donors for thymidine synthesis. Oxford University Press 2011-04-17 /pmc/articles/PMC5654409/ /pubmed/21498882 http://dx.doi.org/10.1093/gbe/evr030 Text en © The Author(s) 2011. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhang, Xiuwei
Kupiec, Martin
Gophna, Uri
Tuller, Tamir
Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title_full Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title_fullStr Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title_full_unstemmed Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title_short Analysis of Coevolving Gene Families Using Mutually Exclusive Orthologous Modules
title_sort analysis of coevolving gene families using mutually exclusive orthologous modules
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654409/
https://www.ncbi.nlm.nih.gov/pubmed/21498882
http://dx.doi.org/10.1093/gbe/evr030
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