The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation
When studying the genetic structure of human populations, the role of cultural factors may be difficult to ascertain due to a lack of formal models. Linguistic diversity is a typical example of such a situation. Patrilocality, on the other hand, can be integrated into a biological framework, allowin...
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description | When studying the genetic structure of human populations, the role of cultural factors may be difficult to ascertain due to a lack of formal models. Linguistic diversity is a typical example of such a situation. Patrilocality, on the other hand, can be integrated into a biological framework, allowing the formulation of explicit working hypotheses. The present study is based on the assumption that patrilocal traditions make the hypervariable region I of the mtDNA a valuable tool for the exploration of migratory dynamics, offering the opportunity to explore the relationships between genetic and linguistic diversity. We studied 85 Niger-Congo-speaking patrilocal populations that cover regions from Senegal to Central African Republic. A total of 4175 individuals were included in the study.
By combining a multivariate analysis aimed at investigating the population genetic structure, with a Bayesian approach used to test models and extent of migration, we were able to detect a stepping-stone migration model as the best descriptor of gene flow across the region, with the main discontinuities corresponding to forested areas.
Our analyses highlight an aspect of the influence of habitat variation on human genetic diversity that has yet to be understood. Rather than depending simply on geographic linear distances, patterns of female genetic variation vary substantially between savannah and rainforest environments. Our findings may be explained by the effects of recent gene flow constrained by environmental factors, which superimposes on a background shaped by pre-agricultural peopling. |
doi_str_mv | 10.1186/1471-2148-13-24 |
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By combining a multivariate analysis aimed at investigating the population genetic structure, with a Bayesian approach used to test models and extent of migration, we were able to detect a stepping-stone migration model as the best descriptor of gene flow across the region, with the main discontinuities corresponding to forested areas.
Our analyses highlight an aspect of the influence of habitat variation on human genetic diversity that has yet to be understood. Rather than depending simply on geographic linear distances, patterns of female genetic variation vary substantially between savannah and rainforest environments. Our findings may be explained by the effects of recent gene flow constrained by environmental factors, which superimposes on a background shaped by pre-agricultural peopling.</description><identifier>ISSN: 1471-2148</identifier><identifier>EISSN: 1471-2148</identifier><identifier>DOI: 10.1186/1471-2148-13-24</identifier><identifier>PMID: 23360301</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Africa ; Africa, Central ; Africa, Western ; Analysis ; Aspectes genètics ; Bayes Theorem ; Bayesian inference ; Biological diversity ; Cameroon ; Congo (Kinshasa) ; DNA, Mitochondrial - genetics ; Evolution & development ; Female ; Females ; Genetic diversity ; Genetic populations ; Genetic Variation ; Genetics, Population ; Genètica de poblacions humanes ; Geography ; Human Migration ; Humans ; Linguistics ; Male ; Migració humana ; Migration ; Mitochondrial DNA ; Molecular Sequence Data ; Multivariate Analysis ; Nigeria ; Population genetic structure ; Rain forests ; Rainforests ; Social structure ; Studies ; Western Central Africa ; Àfrica central</subject><ispartof>BMC evolutionary biology, 2013-01, Vol.13 (1), p.24-24</ispartof><rights>COPYRIGHT 2013 BioMed Central Ltd.</rights><rights>2013 Montano et al.; licensee BioMed Central Ltd. 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.</rights><rights>info:eu-repo/semantics/openAccess © 2013 Montano et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<a href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</a>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. <a href="http://creativecommons.org/licenses/by/2.0">http://creativecommons.org/licenses/by/2.0</a></rights><rights>Copyright ©2013 Montano et al.; licensee BioMed Central Ltd. 2013 Montano et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b623t-887062a82e03b18c36814c8931d90cb450b08aa2631e874681670e80b27f7d843</citedby><cites>FETCH-LOGICAL-b623t-887062a82e03b18c36814c8931d90cb450b08aa2631e874681670e80b27f7d843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605107/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605107/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,26974,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23360301$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Montano, Valeria</creatorcontrib><creatorcontrib>Marcari, Veronica</creatorcontrib><creatorcontrib>Pavanello, Mariano</creatorcontrib><creatorcontrib>Anyaele, Okorie</creatorcontrib><creatorcontrib>Comas, David</creatorcontrib><creatorcontrib>Destro-Bisol, Giovanni</creatorcontrib><creatorcontrib>Batini, Chiara</creatorcontrib><title>The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation</title><title>BMC evolutionary biology</title><addtitle>BMC Evol Biol</addtitle><description>When studying the genetic structure of human populations, the role of cultural factors may be difficult to ascertain due to a lack of formal models. Linguistic diversity is a typical example of such a situation. Patrilocality, on the other hand, can be integrated into a biological framework, allowing the formulation of explicit working hypotheses. The present study is based on the assumption that patrilocal traditions make the hypervariable region I of the mtDNA a valuable tool for the exploration of migratory dynamics, offering the opportunity to explore the relationships between genetic and linguistic diversity. We studied 85 Niger-Congo-speaking patrilocal populations that cover regions from Senegal to Central African Republic. A total of 4175 individuals were included in the study.
By combining a multivariate analysis aimed at investigating the population genetic structure, with a Bayesian approach used to test models and extent of migration, we were able to detect a stepping-stone migration model as the best descriptor of gene flow across the region, with the main discontinuities corresponding to forested areas.
Our analyses highlight an aspect of the influence of habitat variation on human genetic diversity that has yet to be understood. Rather than depending simply on geographic linear distances, patterns of female genetic variation vary substantially between savannah and rainforest environments. Our findings may be explained by the effects of recent gene flow constrained by environmental factors, which superimposes on a background shaped by pre-agricultural peopling.</description><subject>Africa</subject><subject>Africa, Central</subject><subject>Africa, Western</subject><subject>Analysis</subject><subject>Aspectes genètics</subject><subject>Bayes Theorem</subject><subject>Bayesian inference</subject><subject>Biological diversity</subject><subject>Cameroon</subject><subject>Congo (Kinshasa)</subject><subject>DNA, Mitochondrial - genetics</subject><subject>Evolution & development</subject><subject>Female</subject><subject>Females</subject><subject>Genetic diversity</subject><subject>Genetic populations</subject><subject>Genetic Variation</subject><subject>Genetics, Population</subject><subject>Genètica de poblacions humanes</subject><subject>Geography</subject><subject>Human Migration</subject><subject>Humans</subject><subject>Linguistics</subject><subject>Male</subject><subject>Migració humana</subject><subject>Migration</subject><subject>Mitochondrial DNA</subject><subject>Molecular Sequence Data</subject><subject>Multivariate Analysis</subject><subject>Nigeria</subject><subject>Population genetic structure</subject><subject>Rain forests</subject><subject>Rainforests</subject><subject>Social structure</subject><subject>Studies</subject><subject>Western Central Africa</subject><subject>Àfrica central</subject><issn>1471-2148</issn><issn>1471-2148</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>XX2</sourceid><recordid>eNp1kk1v1DAQhiMEoqVw5oYscaGHtB47H94L0rIqUKkSEhRxtBxnsusqsYvtrOi_x2GX1QYVWZEdz_OOx-84y14DvQAQ1SUUNeQMCpEDz1nxJDs97Dw9Wp9kL0K4oxRqweB5dsI4ryincJptbzdIjO36Ea1G4jqyUY2JKgbiLOlwUD2SwTWmN_EhgWSFNnrVE2Vb8gNDRG_JsvNGqykNeo8t6bwbyGYclCWDiU5vnG29SaKtSlM0zr7MnnWqD_hqP59l3z9e3a4-5zdfPl2vljd5UzEecyFqWjElGFLegNC8ElBoseDQLqhuipI2VCjFKg4o6iJFq5qioA2ru7oVBT_L3u_y3o_NgK3eFS_vvRmUf5BOGTmPWLORa7eVyZ8SaJ0SwC6BDqOWHjV6reIf4eFn-hitmeRQMgpJ82GnaYz7z6HziHaDnHolp15J4JJNlb_bV-7dzzEZLQcTNPa9sujGkChYTLeFKqFv_0Hv3Oht8nWiaiE4XRxR69RSmXrl0tl6SiqXJS9KLgSwRF08QqXR4mC0s9iZtD8TnM8EiYn4K67VGIK8_vZ1zl7uzfQuBI_dwROgcnrPj7jw5rh_B_7vA-a_Ab4a7e0</recordid><startdate>20130129</startdate><enddate>20130129</enddate><creator>Montano, Valeria</creator><creator>Marcari, Veronica</creator><creator>Pavanello, Mariano</creator><creator>Anyaele, Okorie</creator><creator>Comas, David</creator><creator>Destro-Bisol, Giovanni</creator><creator>Batini, Chiara</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>XX2</scope><scope>5PM</scope></search><sort><creationdate>20130129</creationdate><title>The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation</title><author>Montano, Valeria ; Marcari, Veronica ; Pavanello, Mariano ; Anyaele, Okorie ; Comas, David ; Destro-Bisol, Giovanni ; Batini, Chiara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b623t-887062a82e03b18c36814c8931d90cb450b08aa2631e874681670e80b27f7d843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Africa</topic><topic>Africa, Central</topic><topic>Africa, Western</topic><topic>Analysis</topic><topic>Aspectes genètics</topic><topic>Bayes Theorem</topic><topic>Bayesian inference</topic><topic>Biological diversity</topic><topic>Cameroon</topic><topic>Congo (Kinshasa)</topic><topic>DNA, Mitochondrial - genetics</topic><topic>Evolution & development</topic><topic>Female</topic><topic>Females</topic><topic>Genetic diversity</topic><topic>Genetic populations</topic><topic>Genetic Variation</topic><topic>Genetics, Population</topic><topic>Genètica de poblacions humanes</topic><topic>Geography</topic><topic>Human Migration</topic><topic>Humans</topic><topic>Linguistics</topic><topic>Male</topic><topic>Migració humana</topic><topic>Migration</topic><topic>Mitochondrial DNA</topic><topic>Molecular Sequence Data</topic><topic>Multivariate Analysis</topic><topic>Nigeria</topic><topic>Population genetic structure</topic><topic>Rain forests</topic><topic>Rainforests</topic><topic>Social structure</topic><topic>Studies</topic><topic>Western Central Africa</topic><topic>Àfrica central</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Montano, Valeria</creatorcontrib><creatorcontrib>Marcari, Veronica</creatorcontrib><creatorcontrib>Pavanello, Mariano</creatorcontrib><creatorcontrib>Anyaele, Okorie</creatorcontrib><creatorcontrib>Comas, David</creatorcontrib><creatorcontrib>Destro-Bisol, Giovanni</creatorcontrib><creatorcontrib>Batini, Chiara</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC evolutionary biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Montano, Valeria</au><au>Marcari, Veronica</au><au>Pavanello, Mariano</au><au>Anyaele, Okorie</au><au>Comas, David</au><au>Destro-Bisol, Giovanni</au><au>Batini, Chiara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation</atitle><jtitle>BMC evolutionary biology</jtitle><addtitle>BMC Evol Biol</addtitle><date>2013-01-29</date><risdate>2013</risdate><volume>13</volume><issue>1</issue><spage>24</spage><epage>24</epage><pages>24-24</pages><issn>1471-2148</issn><eissn>1471-2148</eissn><abstract>When studying the genetic structure of human populations, the role of cultural factors may be difficult to ascertain due to a lack of formal models. Linguistic diversity is a typical example of such a situation. Patrilocality, on the other hand, can be integrated into a biological framework, allowing the formulation of explicit working hypotheses. The present study is based on the assumption that patrilocal traditions make the hypervariable region I of the mtDNA a valuable tool for the exploration of migratory dynamics, offering the opportunity to explore the relationships between genetic and linguistic diversity. We studied 85 Niger-Congo-speaking patrilocal populations that cover regions from Senegal to Central African Republic. A total of 4175 individuals were included in the study.
By combining a multivariate analysis aimed at investigating the population genetic structure, with a Bayesian approach used to test models and extent of migration, we were able to detect a stepping-stone migration model as the best descriptor of gene flow across the region, with the main discontinuities corresponding to forested areas.
Our analyses highlight an aspect of the influence of habitat variation on human genetic diversity that has yet to be understood. Rather than depending simply on geographic linear distances, patterns of female genetic variation vary substantially between savannah and rainforest environments. Our findings may be explained by the effects of recent gene flow constrained by environmental factors, which superimposes on a background shaped by pre-agricultural peopling.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>23360301</pmid><doi>10.1186/1471-2148-13-24</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Africa Africa, Central Africa, Western Analysis Aspectes genètics Bayes Theorem Bayesian inference Biological diversity Cameroon Congo (Kinshasa) DNA, Mitochondrial - genetics Evolution & development Female Females Genetic diversity Genetic populations Genetic Variation Genetics, Population Genètica de poblacions humanes Geography Human Migration Humans Linguistics Male Migració humana Migration Mitochondrial DNA Molecular Sequence Data Multivariate Analysis Nigeria Population genetic structure Rain forests Rainforests Social structure Studies Western Central Africa Àfrica central |
title | The influence of habitats on female mobility in Central and Western Africa inferred from human mitochondrial variation |
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