Loading…
Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations
Demography, migration and natural selection are predominant processes affecting the distribution of genetic variation among natural populations. Many studies use neutral genetic markers to make inferences about population history. However, the investigation of functional coding loci, which directly...
Saved in:
Published in: | PloS one 2012-12, Vol.7 (12), p.e50971-e50971 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3 |
---|---|
cites | cdi_FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3 |
container_end_page | e50971 |
container_issue | 12 |
container_start_page | e50971 |
container_title | PloS one |
container_volume | 7 |
creator | Kamath, Pauline L Getz, Wayne M |
description | Demography, migration and natural selection are predominant processes affecting the distribution of genetic variation among natural populations. Many studies use neutral genetic markers to make inferences about population history. However, the investigation of functional coding loci, which directly reflect fitness, is critical to our understanding of species' ecology and evolution. Immune genes, such as those of the Major Histocompatibility Complex (MHC), play an important role in pathogen recognition and provide a potent model system for studying selection. We contrasted diversity patterns of neutral data with MHC loci, ELA-DRA and -DQA, in two southern African plains zebra (Equus quagga) populations: Etosha National Park, Namibia, and Kruger National Park, South Africa. Results from neutrality tests, along with observations of elevated diversity and low differentiation across populations, supported previous genus-level evidence for balancing selection at these loci. Despite being low, MHC divergence across populations was significant and may be attributed to drift effects typical of geographically separated populations experiencing little to no gene flow, or alternatively to shifting allele frequency distributions driven by spatially variable and fluctuating pathogen communities. At the DRA, zebra exhibited geographic differentiation concordant with microsatellites and reduced levels of diversity in Etosha due to highly skewed allele frequencies that could not be explained by demography, suggestive of spatially heterogeneous selection and local adaptation. This study highlights the complexity in which selection affects immune gene diversity and warrants the need for further research on the ecological mechanisms shaping patterns of adaptive variation among natural populations. |
doi_str_mv | 10.1371/journal.pone.0050971 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1327136366</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A477083564</galeid><doaj_id>oai_doaj_org_article_2746aa6aedd14c2b92718ff54b511247</doaj_id><sourcerecordid>A477083564</sourcerecordid><originalsourceid>FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3</originalsourceid><addsrcrecordid>eNptUstq3DAUNaWlSdP-QWkF3aSLmepl2d4EQkjbQKCbZi2u5SuPBo_kSOOBdNsfr-aRkClBIF2uzjn3wSmKj4zOmajYt2WYoodhPgaPc0pL2lTsVXHKGsFnilPx-ll8UrxLaZlBolbqbXHCBS-ZpM1p8ffOR9jg4HxP1gskaC2adSLBkoRDDl3wBHxHOlyFPsK4eCA541arySPpMV8biA52OOeJjYizCL7fCo4DOJ_IH2wjkPPr-2lK5H6CvoevZAzjNOxo6X3xxsKQ8MPhPSvuvl__vvo5u_314-bq8nZmVNmsZx1vS7SCNpLZxtSqKRtq6rY2xlQt7SS2QqKsWUtRAauxparmpTUS6qpCMOKs-LzXHYeQ9GF_STPBKyaUUCojbvaILsBSj9GtID7oAE7vEiH2GuLamQE1r6QCUIBdx6ThbZNFamtL2ZaMcVllrYtDtaldYWfQryMMR6LHP94tdB82WpScK1VngfODQAz3E6a1XrlkcBjAY5hy37wSgspyV-vLf9CXpzugesgDOG9Drmu2ovpSVhWtRalkRs1fQOWTHeBMNpt1OX9EkHuCiSGliPZpRkb11qqPzeitVfXBqpn26fl-nkiP3hT_ABDP6Bw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1327136366</pqid></control><display><type>article</type><title>Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations</title><source>PubMed Central (Open Access)</source><source>Publicly Available Content Database</source><creator>Kamath, Pauline L ; Getz, Wayne M</creator><contributor>Johnson, Norman</contributor><creatorcontrib>Kamath, Pauline L ; Getz, Wayne M ; Johnson, Norman</creatorcontrib><description>Demography, migration and natural selection are predominant processes affecting the distribution of genetic variation among natural populations. Many studies use neutral genetic markers to make inferences about population history. However, the investigation of functional coding loci, which directly reflect fitness, is critical to our understanding of species' ecology and evolution. Immune genes, such as those of the Major Histocompatibility Complex (MHC), play an important role in pathogen recognition and provide a potent model system for studying selection. We contrasted diversity patterns of neutral data with MHC loci, ELA-DRA and -DQA, in two southern African plains zebra (Equus quagga) populations: Etosha National Park, Namibia, and Kruger National Park, South Africa. Results from neutrality tests, along with observations of elevated diversity and low differentiation across populations, supported previous genus-level evidence for balancing selection at these loci. Despite being low, MHC divergence across populations was significant and may be attributed to drift effects typical of geographically separated populations experiencing little to no gene flow, or alternatively to shifting allele frequency distributions driven by spatially variable and fluctuating pathogen communities. At the DRA, zebra exhibited geographic differentiation concordant with microsatellites and reduced levels of diversity in Etosha due to highly skewed allele frequencies that could not be explained by demography, suggestive of spatially heterogeneous selection and local adaptation. This study highlights the complexity in which selection affects immune gene diversity and warrants the need for further research on the ecological mechanisms shaping patterns of adaptive variation among natural populations.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0050971</identifier><identifier>PMID: 23251409</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alleles ; Analysis ; Animals ; Antigens ; Biodiversity ; Biological evolution ; Biology ; Complexity ; Demography ; Differentiation ; Divergence ; Ecology ; Environmental science ; Equidae - genetics ; Equus quagga ; Evolution ; Evolutionary biology ; Evolutionary genetics ; Fitness ; Gene flow ; Gene frequency ; Genes ; Genetic diversity ; Genetic Drift ; Genetic markers ; Genetic Variation ; Genetics, Population ; Genotype ; Hypotheses ; Loci ; Major histocompatibility complex ; Major Histocompatibility Complex - genetics ; Microsatellite Repeats ; Microsatellites ; Migration ; Molecular biology ; Mutation ; National parks ; Natural populations ; Natural selection ; Neutrality ; Parasites ; Pathogens ; Phylogenetics ; Population ; Population genetics ; Population studies ; Populations ; Reproductive fitness ; Selection, Genetic ; Studies ; Variation</subject><ispartof>PloS one, 2012-12, Vol.7 (12), p.e50971-e50971</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012. This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3</citedby><cites>FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1327136366/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1327136366?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23251409$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Johnson, Norman</contributor><creatorcontrib>Kamath, Pauline L</creatorcontrib><creatorcontrib>Getz, Wayne M</creatorcontrib><title>Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Demography, migration and natural selection are predominant processes affecting the distribution of genetic variation among natural populations. Many studies use neutral genetic markers to make inferences about population history. However, the investigation of functional coding loci, which directly reflect fitness, is critical to our understanding of species' ecology and evolution. Immune genes, such as those of the Major Histocompatibility Complex (MHC), play an important role in pathogen recognition and provide a potent model system for studying selection. We contrasted diversity patterns of neutral data with MHC loci, ELA-DRA and -DQA, in two southern African plains zebra (Equus quagga) populations: Etosha National Park, Namibia, and Kruger National Park, South Africa. Results from neutrality tests, along with observations of elevated diversity and low differentiation across populations, supported previous genus-level evidence for balancing selection at these loci. Despite being low, MHC divergence across populations was significant and may be attributed to drift effects typical of geographically separated populations experiencing little to no gene flow, or alternatively to shifting allele frequency distributions driven by spatially variable and fluctuating pathogen communities. At the DRA, zebra exhibited geographic differentiation concordant with microsatellites and reduced levels of diversity in Etosha due to highly skewed allele frequencies that could not be explained by demography, suggestive of spatially heterogeneous selection and local adaptation. This study highlights the complexity in which selection affects immune gene diversity and warrants the need for further research on the ecological mechanisms shaping patterns of adaptive variation among natural populations.</description><subject>Alleles</subject><subject>Analysis</subject><subject>Animals</subject><subject>Antigens</subject><subject>Biodiversity</subject><subject>Biological evolution</subject><subject>Biology</subject><subject>Complexity</subject><subject>Demography</subject><subject>Differentiation</subject><subject>Divergence</subject><subject>Ecology</subject><subject>Environmental science</subject><subject>Equidae - genetics</subject><subject>Equus quagga</subject><subject>Evolution</subject><subject>Evolutionary biology</subject><subject>Evolutionary genetics</subject><subject>Fitness</subject><subject>Gene flow</subject><subject>Gene frequency</subject><subject>Genes</subject><subject>Genetic diversity</subject><subject>Genetic Drift</subject><subject>Genetic markers</subject><subject>Genetic Variation</subject><subject>Genetics, Population</subject><subject>Genotype</subject><subject>Hypotheses</subject><subject>Loci</subject><subject>Major histocompatibility complex</subject><subject>Major Histocompatibility Complex - genetics</subject><subject>Microsatellite Repeats</subject><subject>Microsatellites</subject><subject>Migration</subject><subject>Molecular biology</subject><subject>Mutation</subject><subject>National parks</subject><subject>Natural populations</subject><subject>Natural selection</subject><subject>Neutrality</subject><subject>Parasites</subject><subject>Pathogens</subject><subject>Phylogenetics</subject><subject>Population</subject><subject>Population genetics</subject><subject>Population studies</subject><subject>Populations</subject><subject>Reproductive fitness</subject><subject>Selection, Genetic</subject><subject>Studies</subject><subject>Variation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUstq3DAUNaWlSdP-QWkF3aSLmepl2d4EQkjbQKCbZi2u5SuPBo_kSOOBdNsfr-aRkClBIF2uzjn3wSmKj4zOmajYt2WYoodhPgaPc0pL2lTsVXHKGsFnilPx-ll8UrxLaZlBolbqbXHCBS-ZpM1p8ffOR9jg4HxP1gskaC2adSLBkoRDDl3wBHxHOlyFPsK4eCA541arySPpMV8biA52OOeJjYizCL7fCo4DOJ_IH2wjkPPr-2lK5H6CvoevZAzjNOxo6X3xxsKQ8MPhPSvuvl__vvo5u_314-bq8nZmVNmsZx1vS7SCNpLZxtSqKRtq6rY2xlQt7SS2QqKsWUtRAauxparmpTUS6qpCMOKs-LzXHYeQ9GF_STPBKyaUUCojbvaILsBSj9GtID7oAE7vEiH2GuLamQE1r6QCUIBdx6ThbZNFamtL2ZaMcVllrYtDtaldYWfQryMMR6LHP94tdB82WpScK1VngfODQAz3E6a1XrlkcBjAY5hy37wSgspyV-vLf9CXpzugesgDOG9Drmu2ovpSVhWtRalkRs1fQOWTHeBMNpt1OX9EkHuCiSGliPZpRkb11qqPzeitVfXBqpn26fl-nkiP3hT_ABDP6Bw</recordid><startdate>20121214</startdate><enddate>20121214</enddate><creator>Kamath, Pauline L</creator><creator>Getz, Wayne M</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20121214</creationdate><title>Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations</title><author>Kamath, Pauline L ; Getz, Wayne M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Alleles</topic><topic>Analysis</topic><topic>Animals</topic><topic>Antigens</topic><topic>Biodiversity</topic><topic>Biological evolution</topic><topic>Biology</topic><topic>Complexity</topic><topic>Demography</topic><topic>Differentiation</topic><topic>Divergence</topic><topic>Ecology</topic><topic>Environmental science</topic><topic>Equidae - genetics</topic><topic>Equus quagga</topic><topic>Evolution</topic><topic>Evolutionary biology</topic><topic>Evolutionary genetics</topic><topic>Fitness</topic><topic>Gene flow</topic><topic>Gene frequency</topic><topic>Genes</topic><topic>Genetic diversity</topic><topic>Genetic Drift</topic><topic>Genetic markers</topic><topic>Genetic Variation</topic><topic>Genetics, Population</topic><topic>Genotype</topic><topic>Hypotheses</topic><topic>Loci</topic><topic>Major histocompatibility complex</topic><topic>Major Histocompatibility Complex - genetics</topic><topic>Microsatellite Repeats</topic><topic>Microsatellites</topic><topic>Migration</topic><topic>Molecular biology</topic><topic>Mutation</topic><topic>National parks</topic><topic>Natural populations</topic><topic>Natural selection</topic><topic>Neutrality</topic><topic>Parasites</topic><topic>Pathogens</topic><topic>Phylogenetics</topic><topic>Population</topic><topic>Population genetics</topic><topic>Population studies</topic><topic>Populations</topic><topic>Reproductive fitness</topic><topic>Selection, Genetic</topic><topic>Studies</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kamath, Pauline L</creatorcontrib><creatorcontrib>Getz, Wayne M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</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>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJÂ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kamath, Pauline L</au><au>Getz, Wayne M</au><au>Johnson, Norman</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-12-14</date><risdate>2012</risdate><volume>7</volume><issue>12</issue><spage>e50971</spage><epage>e50971</epage><pages>e50971-e50971</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Demography, migration and natural selection are predominant processes affecting the distribution of genetic variation among natural populations. Many studies use neutral genetic markers to make inferences about population history. However, the investigation of functional coding loci, which directly reflect fitness, is critical to our understanding of species' ecology and evolution. Immune genes, such as those of the Major Histocompatibility Complex (MHC), play an important role in pathogen recognition and provide a potent model system for studying selection. We contrasted diversity patterns of neutral data with MHC loci, ELA-DRA and -DQA, in two southern African plains zebra (Equus quagga) populations: Etosha National Park, Namibia, and Kruger National Park, South Africa. Results from neutrality tests, along with observations of elevated diversity and low differentiation across populations, supported previous genus-level evidence for balancing selection at these loci. Despite being low, MHC divergence across populations was significant and may be attributed to drift effects typical of geographically separated populations experiencing little to no gene flow, or alternatively to shifting allele frequency distributions driven by spatially variable and fluctuating pathogen communities. At the DRA, zebra exhibited geographic differentiation concordant with microsatellites and reduced levels of diversity in Etosha due to highly skewed allele frequencies that could not be explained by demography, suggestive of spatially heterogeneous selection and local adaptation. This study highlights the complexity in which selection affects immune gene diversity and warrants the need for further research on the ecological mechanisms shaping patterns of adaptive variation among natural populations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23251409</pmid><doi>10.1371/journal.pone.0050971</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2012-12, Vol.7 (12), p.e50971-e50971 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1327136366 |
source | PubMed Central (Open Access); Publicly Available Content Database |
subjects | Alleles Analysis Animals Antigens Biodiversity Biological evolution Biology Complexity Demography Differentiation Divergence Ecology Environmental science Equidae - genetics Equus quagga Evolution Evolutionary biology Evolutionary genetics Fitness Gene flow Gene frequency Genes Genetic diversity Genetic Drift Genetic markers Genetic Variation Genetics, Population Genotype Hypotheses Loci Major histocompatibility complex Major Histocompatibility Complex - genetics Microsatellite Repeats Microsatellites Migration Molecular biology Mutation National parks Natural populations Natural selection Neutrality Parasites Pathogens Phylogenetics Population Population genetics Population studies Populations Reproductive fitness Selection, Genetic Studies Variation |
title | Unraveling the effects of selection and demography on immune gene variation in free-ranging plains zebra (Equus quagga) populations |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T15%3A37%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Unraveling%20the%20effects%20of%20selection%20and%20demography%20on%20immune%20gene%20variation%20in%20free-ranging%20plains%20zebra%20(Equus%20quagga)%20populations&rft.jtitle=PloS%20one&rft.au=Kamath,%20Pauline%20L&rft.date=2012-12-14&rft.volume=7&rft.issue=12&rft.spage=e50971&rft.epage=e50971&rft.pages=e50971-e50971&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0050971&rft_dat=%3Cgale_plos_%3EA477083564%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c659t-d2b5ef30941f9c869590c8b8ccc7b0d4eb34e481b0e6a18eb06825fc4a877eac3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1327136366&rft_id=info:pmid/23251409&rft_galeid=A477083564&rfr_iscdi=true |