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Coevolution Reveals a Network of Human Proteins Originating with Multicellularity

Protein interaction networks play central roles in biological systems, from simple metabolic pathways through complex programs permitting the development of organisms. Multicellularity could only have arisen from a careful orchestration of cellular and molecular roles and responsibilities, all prope...

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Autores principales: Bezginov, Alexandr, Clark, Gregory W., Charlebois, Robert L., Dar, Vaqaar-un-Nisa, Tillier, Elisabeth R.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548307/
https://www.ncbi.nlm.nih.gov/pubmed/22977115
http://dx.doi.org/10.1093/molbev/mss218
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author Bezginov, Alexandr
Clark, Gregory W.
Charlebois, Robert L.
Dar, Vaqaar-un-Nisa
Tillier, Elisabeth R.M.
author_facet Bezginov, Alexandr
Clark, Gregory W.
Charlebois, Robert L.
Dar, Vaqaar-un-Nisa
Tillier, Elisabeth R.M.
author_sort Bezginov, Alexandr
collection PubMed
description Protein interaction networks play central roles in biological systems, from simple metabolic pathways through complex programs permitting the development of organisms. Multicellularity could only have arisen from a careful orchestration of cellular and molecular roles and responsibilities, all properly controlled and regulated. Disease reflects a breakdown of this organismal homeostasis. To better understand the evolution of interactions whose dysfunction may be contributing factors to disease, we derived the human protein coevolution network using our MatrixMatchMaker algorithm and using the Orthologous MAtrix project (OMA) database as a source for protein orthologs from 103 eukaryotic genomes. We annotated the coevolution network using protein–protein interaction data, many functional data sources, and we explored the evolutionary rates and dates of emergence of the proteins in our data set. Strikingly, clustering based only on the topology of the coevolution network partitions it into two subnetworks, one generally representing ancient eukaryotic functions and the other functions more recently acquired during animal evolution. That latter subnetwork is enriched for proteins with roles in cell–cell communication, the control of cell division, and related multicellular functions. Further annotation using data from genetic disease databases and cancer genome sequences strongly implicates these proteins in both ciliopathies and cancer. The enrichment for such disease markers in the animal network suggests a functional link between these coevolving proteins. Genetic validation corroborates the recruitment of ancient cilia in the evolution of multicellularity.
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spelling pubmed-35483072013-01-18 Coevolution Reveals a Network of Human Proteins Originating with Multicellularity Bezginov, Alexandr Clark, Gregory W. Charlebois, Robert L. Dar, Vaqaar-un-Nisa Tillier, Elisabeth R.M. Mol Biol Evol Discoveries Protein interaction networks play central roles in biological systems, from simple metabolic pathways through complex programs permitting the development of organisms. Multicellularity could only have arisen from a careful orchestration of cellular and molecular roles and responsibilities, all properly controlled and regulated. Disease reflects a breakdown of this organismal homeostasis. To better understand the evolution of interactions whose dysfunction may be contributing factors to disease, we derived the human protein coevolution network using our MatrixMatchMaker algorithm and using the Orthologous MAtrix project (OMA) database as a source for protein orthologs from 103 eukaryotic genomes. We annotated the coevolution network using protein–protein interaction data, many functional data sources, and we explored the evolutionary rates and dates of emergence of the proteins in our data set. Strikingly, clustering based only on the topology of the coevolution network partitions it into two subnetworks, one generally representing ancient eukaryotic functions and the other functions more recently acquired during animal evolution. That latter subnetwork is enriched for proteins with roles in cell–cell communication, the control of cell division, and related multicellular functions. Further annotation using data from genetic disease databases and cancer genome sequences strongly implicates these proteins in both ciliopathies and cancer. The enrichment for such disease markers in the animal network suggests a functional link between these coevolving proteins. Genetic validation corroborates the recruitment of ancient cilia in the evolution of multicellularity. Oxford University Press 2013-02 2012-09-12 /pmc/articles/PMC3548307/ /pubmed/22977115 http://dx.doi.org/10.1093/molbev/mss218 Text en © The Author 2012. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Bezginov, Alexandr
Clark, Gregory W.
Charlebois, Robert L.
Dar, Vaqaar-un-Nisa
Tillier, Elisabeth R.M.
Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title_full Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title_fullStr Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title_full_unstemmed Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title_short Coevolution Reveals a Network of Human Proteins Originating with Multicellularity
title_sort coevolution reveals a network of human proteins originating with multicellularity
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548307/
https://www.ncbi.nlm.nih.gov/pubmed/22977115
http://dx.doi.org/10.1093/molbev/mss218
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