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Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals

A common assumption in comparative genomics is that orthologous genes share greater functional similarity than do paralogous genes (the “ortholog conjecture”). Many methods used to computationally predict protein function are based on this assumption, even though it is largely untested. Here we pres...

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Detalles Bibliográficos
Autores principales: Nehrt, Nathan L., Clark, Wyatt T., Radivojac, Predrag, Hahn, Matthew W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111532/
https://www.ncbi.nlm.nih.gov/pubmed/21695233
http://dx.doi.org/10.1371/journal.pcbi.1002073
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author Nehrt, Nathan L.
Clark, Wyatt T.
Radivojac, Predrag
Hahn, Matthew W.
author_facet Nehrt, Nathan L.
Clark, Wyatt T.
Radivojac, Predrag
Hahn, Matthew W.
author_sort Nehrt, Nathan L.
collection PubMed
description A common assumption in comparative genomics is that orthologous genes share greater functional similarity than do paralogous genes (the “ortholog conjecture”). Many methods used to computationally predict protein function are based on this assumption, even though it is largely untested. Here we present the first large-scale test of the ortholog conjecture using comparative functional genomic data from human and mouse. We use the experimentally derived functions of more than 8,900 genes, as well as an independent microarray dataset, to directly assess our ability to predict function using both orthologs and paralogs. Both datasets show that paralogs are often a much better predictor of function than are orthologs, even at lower sequence identities. Among paralogs, those found within the same species are consistently more functionally similar than those found in a different species. We also find that paralogous pairs residing on the same chromosome are more functionally similar than those on different chromosomes, perhaps due to higher levels of interlocus gene conversion between these pairs. In addition to offering implications for the computational prediction of protein function, our results shed light on the relationship between sequence divergence and functional divergence. We conclude that the most important factor in the evolution of function is not amino acid sequence, but rather the cellular context in which proteins act.
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spelling pubmed-31115322011-06-21 Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals Nehrt, Nathan L. Clark, Wyatt T. Radivojac, Predrag Hahn, Matthew W. PLoS Comput Biol Research Article A common assumption in comparative genomics is that orthologous genes share greater functional similarity than do paralogous genes (the “ortholog conjecture”). Many methods used to computationally predict protein function are based on this assumption, even though it is largely untested. Here we present the first large-scale test of the ortholog conjecture using comparative functional genomic data from human and mouse. We use the experimentally derived functions of more than 8,900 genes, as well as an independent microarray dataset, to directly assess our ability to predict function using both orthologs and paralogs. Both datasets show that paralogs are often a much better predictor of function than are orthologs, even at lower sequence identities. Among paralogs, those found within the same species are consistently more functionally similar than those found in a different species. We also find that paralogous pairs residing on the same chromosome are more functionally similar than those on different chromosomes, perhaps due to higher levels of interlocus gene conversion between these pairs. In addition to offering implications for the computational prediction of protein function, our results shed light on the relationship between sequence divergence and functional divergence. We conclude that the most important factor in the evolution of function is not amino acid sequence, but rather the cellular context in which proteins act. Public Library of Science 2011-06-09 /pmc/articles/PMC3111532/ /pubmed/21695233 http://dx.doi.org/10.1371/journal.pcbi.1002073 Text en Nehrt et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nehrt, Nathan L.
Clark, Wyatt T.
Radivojac, Predrag
Hahn, Matthew W.
Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title_full Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title_fullStr Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title_full_unstemmed Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title_short Testing the Ortholog Conjecture with Comparative Functional Genomic Data from Mammals
title_sort testing the ortholog conjecture with comparative functional genomic data from mammals
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3111532/
https://www.ncbi.nlm.nih.gov/pubmed/21695233
http://dx.doi.org/10.1371/journal.pcbi.1002073
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