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A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages
Genetic diversity in human leukocyte antigen (HLA) molecules is thought to have arisen from the co‐evolution between host and pathogen and maintained by balancing selection. Heterozygote advantage is a common proposed scenario for maintaining high levels of diversity in HLA genes, and extending from...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054888/ https://www.ncbi.nlm.nih.gov/pubmed/26392055 http://dx.doi.org/10.1111/tan.12667 |
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author | Lau, Q. Yasukochi, Y. Satta, Y. |
author_facet | Lau, Q. Yasukochi, Y. Satta, Y. |
author_sort | Lau, Q. |
collection | PubMed |
description | Genetic diversity in human leukocyte antigen (HLA) molecules is thought to have arisen from the co‐evolution between host and pathogen and maintained by balancing selection. Heterozygote advantage is a common proposed scenario for maintaining high levels of diversity in HLA genes, and extending from this, the divergent allele advantage (DAA) model suggests that individuals with more divergent HLA alleles bind and recognize a wider array of antigens. While the DAA model seems biologically suitable for driving HLA diversity, there is likely an upper threshold to the amount of sequence divergence. We used peptide‐binding and pathogen‐recognition capacity of DRB1 alleles as a model to further explore the DAA model; within the DRB1 locus, we examined binding predictions based on two distinct phylogenetic groups (denoted group A and B) previously identified based on non‐peptide‐binding region (PBR) nucleotide sequences. Predictions in this study support that group A allele and group B allele lineages have contrasting binding/recognition capacity, with only the latter supporting the DAA model. Furthermore, computer simulations revealed an inconsistency in the DAA model alone with observed extent of polymorphisms, supporting that the DAA model could only work effectively in combination with other mechanisms. Overall, we support that the mechanisms driving HLA diversity are non‐exclusive. By investigating the relationships among HLA alleles, and pathogens recognized, we can provide further insights into the mechanisms on how humans have adapted to infectious diseases over time. |
format | Online Article Text |
id | pubmed-5054888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-50548882016-10-19 A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages Lau, Q. Yasukochi, Y. Satta, Y. Tissue Antigens Original Articles Genetic diversity in human leukocyte antigen (HLA) molecules is thought to have arisen from the co‐evolution between host and pathogen and maintained by balancing selection. Heterozygote advantage is a common proposed scenario for maintaining high levels of diversity in HLA genes, and extending from this, the divergent allele advantage (DAA) model suggests that individuals with more divergent HLA alleles bind and recognize a wider array of antigens. While the DAA model seems biologically suitable for driving HLA diversity, there is likely an upper threshold to the amount of sequence divergence. We used peptide‐binding and pathogen‐recognition capacity of DRB1 alleles as a model to further explore the DAA model; within the DRB1 locus, we examined binding predictions based on two distinct phylogenetic groups (denoted group A and B) previously identified based on non‐peptide‐binding region (PBR) nucleotide sequences. Predictions in this study support that group A allele and group B allele lineages have contrasting binding/recognition capacity, with only the latter supporting the DAA model. Furthermore, computer simulations revealed an inconsistency in the DAA model alone with observed extent of polymorphisms, supporting that the DAA model could only work effectively in combination with other mechanisms. Overall, we support that the mechanisms driving HLA diversity are non‐exclusive. By investigating the relationships among HLA alleles, and pathogens recognized, we can provide further insights into the mechanisms on how humans have adapted to infectious diseases over time. Blackwell Publishing Ltd 2015-09-22 2015-11 /pmc/articles/PMC5054888/ /pubmed/26392055 http://dx.doi.org/10.1111/tan.12667 Text en © 2015 The Authors. Tissue Antigens published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Lau, Q. Yasukochi, Y. Satta, Y. A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title | A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title_full | A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title_fullStr | A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title_full_unstemmed | A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title_short | A limit to the divergent allele advantage model supported by variable pathogen recognition across HLA‐DRB1 allele lineages |
title_sort | limit to the divergent allele advantage model supported by variable pathogen recognition across hla‐drb1 allele lineages |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054888/ https://www.ncbi.nlm.nih.gov/pubmed/26392055 http://dx.doi.org/10.1111/tan.12667 |
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