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Evolutionary forces shaping genomic islands of population differentiation in humans
BACKGROUND: Levels of differentiation among populations depend both on demographic and selective factors: genetic drift and local adaptation increase population differentiation, which is eroded by gene flow and balancing selection. We describe here the genomic distribution and the properties of geno...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317871/ https://www.ncbi.nlm.nih.gov/pubmed/22439654 http://dx.doi.org/10.1186/1471-2164-13-107 |
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author | Hofer, Tamara Foll, Matthieu Excoffier, Laurent |
author_facet | Hofer, Tamara Foll, Matthieu Excoffier, Laurent |
author_sort | Hofer, Tamara |
collection | PubMed |
description | BACKGROUND: Levels of differentiation among populations depend both on demographic and selective factors: genetic drift and local adaptation increase population differentiation, which is eroded by gene flow and balancing selection. We describe here the genomic distribution and the properties of genomic regions with unusually high and low levels of population differentiation in humans to assess the influence of selective and neutral processes on human genetic structure. METHODS: Individual SNPs of the Human Genome Diversity Panel (HGDP) showing significantly high or low levels of population differentiation were detected under a hierarchical-island model (HIM). A Hidden Markov Model allowed us to detect genomic regions or islands of high or low population differentiation. RESULTS: Under the HIM, only 1.5% of all SNPs are significant at the 1% level, but their genomic spatial distribution is significantly non-random. We find evidence that local adaptation shaped high-differentiation islands, as they are enriched for non-synonymous SNPs and overlap with previously identified candidate regions for positive selection. Moreover there is a negative relationship between the size of islands and recombination rate, which is stronger for islands overlapping with genes. Gene ontology analysis supports the role of diet as a major selective pressure in those highly differentiated islands. Low-differentiation islands are also enriched for non-synonymous SNPs, and contain an overly high proportion of genes belonging to the 'Oncogenesis' biological process. CONCLUSIONS: Even though selection seems to be acting in shaping islands of high population differentiation, neutral demographic processes might have promoted the appearance of some genomic islands since i) as much as 20% of islands are in non-genic regions ii) these non-genic islands are on average two times shorter than genic islands, suggesting a more rapid erosion by recombination, and iii) most loci are strongly differentiated between Africans and non-Africans, a result consistent with known human demographic history. |
format | Online Article Text |
id | pubmed-3317871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-33178712012-04-04 Evolutionary forces shaping genomic islands of population differentiation in humans Hofer, Tamara Foll, Matthieu Excoffier, Laurent BMC Genomics Research Article BACKGROUND: Levels of differentiation among populations depend both on demographic and selective factors: genetic drift and local adaptation increase population differentiation, which is eroded by gene flow and balancing selection. We describe here the genomic distribution and the properties of genomic regions with unusually high and low levels of population differentiation in humans to assess the influence of selective and neutral processes on human genetic structure. METHODS: Individual SNPs of the Human Genome Diversity Panel (HGDP) showing significantly high or low levels of population differentiation were detected under a hierarchical-island model (HIM). A Hidden Markov Model allowed us to detect genomic regions or islands of high or low population differentiation. RESULTS: Under the HIM, only 1.5% of all SNPs are significant at the 1% level, but their genomic spatial distribution is significantly non-random. We find evidence that local adaptation shaped high-differentiation islands, as they are enriched for non-synonymous SNPs and overlap with previously identified candidate regions for positive selection. Moreover there is a negative relationship between the size of islands and recombination rate, which is stronger for islands overlapping with genes. Gene ontology analysis supports the role of diet as a major selective pressure in those highly differentiated islands. Low-differentiation islands are also enriched for non-synonymous SNPs, and contain an overly high proportion of genes belonging to the 'Oncogenesis' biological process. CONCLUSIONS: Even though selection seems to be acting in shaping islands of high population differentiation, neutral demographic processes might have promoted the appearance of some genomic islands since i) as much as 20% of islands are in non-genic regions ii) these non-genic islands are on average two times shorter than genic islands, suggesting a more rapid erosion by recombination, and iii) most loci are strongly differentiated between Africans and non-Africans, a result consistent with known human demographic history. BioMed Central 2012-03-22 /pmc/articles/PMC3317871/ /pubmed/22439654 http://dx.doi.org/10.1186/1471-2164-13-107 Text en Copyright ©2012 Hofer et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hofer, Tamara Foll, Matthieu Excoffier, Laurent Evolutionary forces shaping genomic islands of population differentiation in humans |
title | Evolutionary forces shaping genomic islands of population differentiation in humans |
title_full | Evolutionary forces shaping genomic islands of population differentiation in humans |
title_fullStr | Evolutionary forces shaping genomic islands of population differentiation in humans |
title_full_unstemmed | Evolutionary forces shaping genomic islands of population differentiation in humans |
title_short | Evolutionary forces shaping genomic islands of population differentiation in humans |
title_sort | evolutionary forces shaping genomic islands of population differentiation in humans |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3317871/ https://www.ncbi.nlm.nih.gov/pubmed/22439654 http://dx.doi.org/10.1186/1471-2164-13-107 |
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