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Uncovering adaptive evolution in the human lineage
BACKGROUND: The recent increase in human polymorphism data, together with the availability of genome sequences from several primate species, provides an unprecedented opportunity to investigate how natural selection has shaped human evolution. RESULTS: We compared human branch-specific substitutions...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124166/ https://www.ncbi.nlm.nih.gov/pubmed/25030307 http://dx.doi.org/10.1186/1471-2164-15-599 |
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author | Gayà-Vidal, Magdalena Albà, M Mar |
author_facet | Gayà-Vidal, Magdalena Albà, M Mar |
author_sort | Gayà-Vidal, Magdalena |
collection | PubMed |
description | BACKGROUND: The recent increase in human polymorphism data, together with the availability of genome sequences from several primate species, provides an unprecedented opportunity to investigate how natural selection has shaped human evolution. RESULTS: We compared human branch-specific substitutions with variation data in the current human population to measure the impact of adaptive evolution on human protein coding genes. The use of single nucleotide polymorphisms (SNPs) with high derived allele frequencies (DAFs) minimized the influence of segregating slightly deleterious mutations and improved the estimation of the number of adaptive sites. Using DAF ≥ 60% we showed that the proportion of adaptive substitutions is 0.2% in the complete gene set. However, the percentage rose to 40% when we focused on genes that are specifically accelerated in the human branch with respect to the chimpanzee branch, or on genes that show signatures of adaptive selection at the codon level by the maximum likelihood based branch-site test. In general, neural genes are enriched in positive selection signatures. Genes with multiple lines of evidence of positive selection include taxilin beta, which is involved in motor nerve regeneration and syntabulin, and is required for the formation of new presynaptic boutons. CONCLUSIONS: We combined several methods to detect adaptive evolution in human coding sequences at a genome-wide level. The use of variation data, in addition to sequence divergence information, uncovered previously undetected positive selection signatures in neural genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-599) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4124166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41241662014-08-12 Uncovering adaptive evolution in the human lineage Gayà-Vidal, Magdalena Albà, M Mar BMC Genomics Research Article BACKGROUND: The recent increase in human polymorphism data, together with the availability of genome sequences from several primate species, provides an unprecedented opportunity to investigate how natural selection has shaped human evolution. RESULTS: We compared human branch-specific substitutions with variation data in the current human population to measure the impact of adaptive evolution on human protein coding genes. The use of single nucleotide polymorphisms (SNPs) with high derived allele frequencies (DAFs) minimized the influence of segregating slightly deleterious mutations and improved the estimation of the number of adaptive sites. Using DAF ≥ 60% we showed that the proportion of adaptive substitutions is 0.2% in the complete gene set. However, the percentage rose to 40% when we focused on genes that are specifically accelerated in the human branch with respect to the chimpanzee branch, or on genes that show signatures of adaptive selection at the codon level by the maximum likelihood based branch-site test. In general, neural genes are enriched in positive selection signatures. Genes with multiple lines of evidence of positive selection include taxilin beta, which is involved in motor nerve regeneration and syntabulin, and is required for the formation of new presynaptic boutons. CONCLUSIONS: We combined several methods to detect adaptive evolution in human coding sequences at a genome-wide level. The use of variation data, in addition to sequence divergence information, uncovered previously undetected positive selection signatures in neural genes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-599) contains supplementary material, which is available to authorized users. BioMed Central 2014-07-16 /pmc/articles/PMC4124166/ /pubmed/25030307 http://dx.doi.org/10.1186/1471-2164-15-599 Text en © Gayà-Vidal and Albà; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Gayà-Vidal, Magdalena Albà, M Mar Uncovering adaptive evolution in the human lineage |
title | Uncovering adaptive evolution in the human lineage |
title_full | Uncovering adaptive evolution in the human lineage |
title_fullStr | Uncovering adaptive evolution in the human lineage |
title_full_unstemmed | Uncovering adaptive evolution in the human lineage |
title_short | Uncovering adaptive evolution in the human lineage |
title_sort | uncovering adaptive evolution in the human lineage |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124166/ https://www.ncbi.nlm.nih.gov/pubmed/25030307 http://dx.doi.org/10.1186/1471-2164-15-599 |
work_keys_str_mv | AT gayavidalmagdalena uncoveringadaptiveevolutioninthehumanlineage AT albammar uncoveringadaptiveevolutioninthehumanlineage |