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COMPUTATIONAL PREDICTION OF MHC II-ANTIGEN BINDING SUPPORTS DIVERGENT ALLELE ADVANTAGE AND EXPLAINS TRANS-SPECIES POLYMORPHISM
The major histocompatibility complex (MHC), coding for antigen presenting molecules of the adaptive immune system, represents one of the most polymorphic regions in the vertebrate genome. The exceptional polymorphism, which is potentially maintained by balancing selection under host-parasite coevolu...
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Published in: | Evolution 2011-08, Vol.65 (8), p.2380-2390 |
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description | The major histocompatibility complex (MHC), coding for antigen presenting molecules of the adaptive immune system, represents one of the most polymorphic regions in the vertebrate genome. The exceptional polymorphism, which is potentially maintained by balancing selection under host-parasite coevolution, comprises excessive sequence divergence among alleles as well as ancient allelic lineages that predate species divergence (trans-species polymorphism). Here, the mechanisms that are proposed to maintain such sequence divergence and ancient lineages are investigated. Established computational antigen-binding prediction algorithms, which are based on empirical databases, are employed to determine the overlap in bound antigens among individual MHC class IIB alleles. The results show that genetically more divergent allele pairs experience less overlap and thus present a broader range of potential antigens. These findings support the divergent allele advantage hypothesis and furthermore suggest an evolutionary advantage explaining the maintenance of divergent allelic lineages, that is, trans-species polymorphism. In addressing a quantitative rather than qualitative aspect of MHC alleles, these insights highlight a new direction for future research on MHC evolution. |
doi_str_mv | 10.1111/j.1558-5646.2011.01288.x |
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The exceptional polymorphism, which is potentially maintained by balancing selection under host-parasite coevolution, comprises excessive sequence divergence among alleles as well as ancient allelic lineages that predate species divergence (trans-species polymorphism). Here, the mechanisms that are proposed to maintain such sequence divergence and ancient lineages are investigated. Established computational antigen-binding prediction algorithms, which are based on empirical databases, are employed to determine the overlap in bound antigens among individual MHC class IIB alleles. The results show that genetically more divergent allele pairs experience less overlap and thus present a broader range of potential antigens. These findings support the divergent allele advantage hypothesis and furthermore suggest an evolutionary advantage explaining the maintenance of divergent allelic lineages, that is, trans-species polymorphism. In addressing a quantitative rather than qualitative aspect of MHC alleles, these insights highlight a new direction for future research on MHC evolution.</description><identifier>ISSN: 0014-3820</identifier><identifier>EISSN: 1558-5646</identifier><identifier>DOI: 10.1111/j.1558-5646.2011.01288.x</identifier><identifier>PMID: 21790583</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Allele divergence ; Alleles ; Amino acids ; Animals ; Antigens ; Bacteria - genetics ; Bacteria - growth & development ; Bacteria - metabolism ; Bacterial Infections - immunology ; Bacterial Infections - metabolism ; Bacterial Infections - pathology ; balancing selection ; Binding Sites ; Computational Biology - methods ; Divergent evolution ; Evolution ; Evolution, Molecular ; Evolutionary genetics ; Exons ; Genes, MHC Class II ; Genetics ; Genomes ; Genotypes ; Histocompatibility Antigens Class II - genetics ; Histocompatibility Antigens Class II - immunology ; Histocompatibility Antigens Class II - metabolism ; HLA ; HLA antigens ; Humans ; Immune system ; major histocompatibility complex ; Major histocompatibility complex genes ; Molecules ; Pathogens ; peptide binding ; Polymorphism ; Polymorphism, Genetic</subject><ispartof>Evolution, 2011-08, Vol.65 (8), p.2380-2390</ispartof><rights>Copyright © 2011 Society for the Study of Evolution</rights><rights>2011 The Author(s). © 2011 The Society for the Study of Evolution.</rights><rights>2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.</rights><rights>Copyright Society for the Study of Evolution Aug 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4728-aa42bdc0ee84db01d28249a54cfaee4d31105347af3fb6f3866f972a977e7a5f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/41240827$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/41240827$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21790583$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lenz, Tobias L.</creatorcontrib><title>COMPUTATIONAL PREDICTION OF MHC II-ANTIGEN BINDING SUPPORTS DIVERGENT ALLELE ADVANTAGE AND EXPLAINS TRANS-SPECIES POLYMORPHISM</title><title>Evolution</title><addtitle>Evolution</addtitle><description>The major histocompatibility complex (MHC), coding for antigen presenting molecules of the adaptive immune system, represents one of the most polymorphic regions in the vertebrate genome. The exceptional polymorphism, which is potentially maintained by balancing selection under host-parasite coevolution, comprises excessive sequence divergence among alleles as well as ancient allelic lineages that predate species divergence (trans-species polymorphism). Here, the mechanisms that are proposed to maintain such sequence divergence and ancient lineages are investigated. Established computational antigen-binding prediction algorithms, which are based on empirical databases, are employed to determine the overlap in bound antigens among individual MHC class IIB alleles. The results show that genetically more divergent allele pairs experience less overlap and thus present a broader range of potential antigens. These findings support the divergent allele advantage hypothesis and furthermore suggest an evolutionary advantage explaining the maintenance of divergent allelic lineages, that is, trans-species polymorphism. In addressing a quantitative rather than qualitative aspect of MHC alleles, these insights highlight a new direction for future research on MHC evolution.</description><subject>Allele divergence</subject><subject>Alleles</subject><subject>Amino acids</subject><subject>Animals</subject><subject>Antigens</subject><subject>Bacteria - genetics</subject><subject>Bacteria - growth & development</subject><subject>Bacteria - metabolism</subject><subject>Bacterial Infections - immunology</subject><subject>Bacterial Infections - metabolism</subject><subject>Bacterial Infections - pathology</subject><subject>balancing selection</subject><subject>Binding Sites</subject><subject>Computational Biology - methods</subject><subject>Divergent evolution</subject><subject>Evolution</subject><subject>Evolution, Molecular</subject><subject>Evolutionary genetics</subject><subject>Exons</subject><subject>Genes, MHC Class II</subject><subject>Genetics</subject><subject>Genomes</subject><subject>Genotypes</subject><subject>Histocompatibility Antigens Class II - genetics</subject><subject>Histocompatibility Antigens Class II - immunology</subject><subject>Histocompatibility Antigens Class II - metabolism</subject><subject>HLA</subject><subject>HLA antigens</subject><subject>Humans</subject><subject>Immune system</subject><subject>major histocompatibility complex</subject><subject>Major histocompatibility complex genes</subject><subject>Molecules</subject><subject>Pathogens</subject><subject>peptide binding</subject><subject>Polymorphism</subject><subject>Polymorphism, Genetic</subject><issn>0014-3820</issn><issn>1558-5646</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNpdkc2O0zAYRSMEYsrAI4AsNqwS_JfYWbDIJJnUUupESVpgZbmNIzW00yFpRWfDs-PQoQu88Wedcy3L13EAgh6y63PvId_nrh_QwMMQIQ8izLl3fuHMruClM4MQUZdwDG-cN-PYQwhDH4WvnRuMWAh9TmbO77hYlMsmakQhoxyUVZqIeDqA4h4s5jEQwo1kI7JUgjshEyEzUC_LsqiaGiRilVaWNCDK8zRPQZSsrBxldpIJSL-VeSRkDZoqkrVbl2ks0hqURf59UVTlXNSLt86rTu9G8-55v3WW92kTz928yEQc5e6GMsxdrSletxtoDKftGqIWc0xD7dNNp42hLUEI-oQy3ZFuHXSEB0EXMqxDxgzTfkdunU-Xex-Hw8-TGY9qvx03ZrfTD-ZwGhVnYcBCjpA1P_5n9ofT8GAfpzgnIWIk4Fb68Cyd1nvTqsdhu9fDk_r3r1b4chF-bXfm6coRVFN_qldTTWqqSU39qb_9qbNKV8U02fz7S74fj4fhmqcIU8gxs9y98O14NOcr18MPFTDCfPVVZopVIZM4yFVO_gCigJvX</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Lenz, Tobias L.</creator><general>Blackwell Publishing Inc</general><general>Wiley Subscription Services, Inc</general><general>Oxford University Press</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201108</creationdate><title>COMPUTATIONAL PREDICTION OF MHC II-ANTIGEN BINDING SUPPORTS DIVERGENT ALLELE ADVANTAGE AND EXPLAINS TRANS-SPECIES POLYMORPHISM</title><author>Lenz, Tobias L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4728-aa42bdc0ee84db01d28249a54cfaee4d31105347af3fb6f3866f972a977e7a5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Allele divergence</topic><topic>Alleles</topic><topic>Amino acids</topic><topic>Animals</topic><topic>Antigens</topic><topic>Bacteria - genetics</topic><topic>Bacteria - growth & development</topic><topic>Bacteria - metabolism</topic><topic>Bacterial Infections - immunology</topic><topic>Bacterial Infections - metabolism</topic><topic>Bacterial Infections - pathology</topic><topic>balancing selection</topic><topic>Binding Sites</topic><topic>Computational Biology - methods</topic><topic>Divergent evolution</topic><topic>Evolution</topic><topic>Evolution, Molecular</topic><topic>Evolutionary genetics</topic><topic>Exons</topic><topic>Genes, MHC Class II</topic><topic>Genetics</topic><topic>Genomes</topic><topic>Genotypes</topic><topic>Histocompatibility Antigens Class II - genetics</topic><topic>Histocompatibility Antigens Class II - immunology</topic><topic>Histocompatibility Antigens Class II - metabolism</topic><topic>HLA</topic><topic>HLA antigens</topic><topic>Humans</topic><topic>Immune system</topic><topic>major histocompatibility complex</topic><topic>Major histocompatibility complex genes</topic><topic>Molecules</topic><topic>Pathogens</topic><topic>peptide binding</topic><topic>Polymorphism</topic><topic>Polymorphism, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lenz, Tobias L.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</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>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lenz, Tobias L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COMPUTATIONAL PREDICTION OF MHC II-ANTIGEN BINDING SUPPORTS DIVERGENT ALLELE ADVANTAGE AND EXPLAINS TRANS-SPECIES POLYMORPHISM</atitle><jtitle>Evolution</jtitle><addtitle>Evolution</addtitle><date>2011-08</date><risdate>2011</risdate><volume>65</volume><issue>8</issue><spage>2380</spage><epage>2390</epage><pages>2380-2390</pages><issn>0014-3820</issn><eissn>1558-5646</eissn><abstract>The major histocompatibility complex (MHC), coding for antigen presenting molecules of the adaptive immune system, represents one of the most polymorphic regions in the vertebrate genome. The exceptional polymorphism, which is potentially maintained by balancing selection under host-parasite coevolution, comprises excessive sequence divergence among alleles as well as ancient allelic lineages that predate species divergence (trans-species polymorphism). Here, the mechanisms that are proposed to maintain such sequence divergence and ancient lineages are investigated. Established computational antigen-binding prediction algorithms, which are based on empirical databases, are employed to determine the overlap in bound antigens among individual MHC class IIB alleles. The results show that genetically more divergent allele pairs experience less overlap and thus present a broader range of potential antigens. These findings support the divergent allele advantage hypothesis and furthermore suggest an evolutionary advantage explaining the maintenance of divergent allelic lineages, that is, trans-species polymorphism. In addressing a quantitative rather than qualitative aspect of MHC alleles, these insights highlight a new direction for future research on MHC evolution.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>21790583</pmid><doi>10.1111/j.1558-5646.2011.01288.x</doi><tpages>11</tpages></addata></record> |
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subjects | Allele divergence Alleles Amino acids Animals Antigens Bacteria - genetics Bacteria - growth & development Bacteria - metabolism Bacterial Infections - immunology Bacterial Infections - metabolism Bacterial Infections - pathology balancing selection Binding Sites Computational Biology - methods Divergent evolution Evolution Evolution, Molecular Evolutionary genetics Exons Genes, MHC Class II Genetics Genomes Genotypes Histocompatibility Antigens Class II - genetics Histocompatibility Antigens Class II - immunology Histocompatibility Antigens Class II - metabolism HLA HLA antigens Humans Immune system major histocompatibility complex Major histocompatibility complex genes Molecules Pathogens peptide binding Polymorphism Polymorphism, Genetic |
title | COMPUTATIONAL PREDICTION OF MHC II-ANTIGEN BINDING SUPPORTS DIVERGENT ALLELE ADVANTAGE AND EXPLAINS TRANS-SPECIES POLYMORPHISM |
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