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Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families

The co-evolutionary arms race between host immune genes and parasite virulence genes is known as Red Queen dynamics. Temporal fluctuations in allele frequencies, or the ‘turnover’ of alleles at immune genes, are concordant with predictions of the Red Queen hypothesis. Such observations are often tak...

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Autores principales: McMullan, Mark, van Oosterhout, Cock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416836/
https://www.ncbi.nlm.nih.gov/pubmed/22900006
http://dx.doi.org/10.1371/journal.pone.0042119
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author McMullan, Mark
van Oosterhout, Cock
author_facet McMullan, Mark
van Oosterhout, Cock
author_sort McMullan, Mark
collection PubMed
description The co-evolutionary arms race between host immune genes and parasite virulence genes is known as Red Queen dynamics. Temporal fluctuations in allele frequencies, or the ‘turnover’ of alleles at immune genes, are concordant with predictions of the Red Queen hypothesis. Such observations are often taken as evidence of host-parasite co-evolution. Here, we use computer simulations of the Major Histocompatibility Complex (MHC) of guppies (Poecilia reticulata) to study the turnover rate of alleles (temporal genetic differentiation, G'(ST)). Temporal fluctuations in MHC allele frequencies can be ≥≤order of magnitude larger than changes observed at neutral loci. Although such large fluctuations in the MHC are consistent with Red Queen dynamics, simulations show that other demographic and population genetic processes can account for this observation, these include: (1) overdominant selection, (2) fluctuating population size within a metapopulation, and (3) the number of novel MHC alleles introduced by immigrants when there are multiple duplicated genes. Synergy between these forces combined with migration rate and the effective population size can drive the rapid turnover in MHC alleles. We posit that rapid allelic turnover is an inherent property of highly polymorphic multigene families and that it cannot be taken as evidence of Red Queen dynamics. Furthermore, combining temporal samples in spatial F(ST) outlier analysis may obscure the signal of selection.
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spelling pubmed-34168362012-08-16 Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families McMullan, Mark van Oosterhout, Cock PLoS One Research Article The co-evolutionary arms race between host immune genes and parasite virulence genes is known as Red Queen dynamics. Temporal fluctuations in allele frequencies, or the ‘turnover’ of alleles at immune genes, are concordant with predictions of the Red Queen hypothesis. Such observations are often taken as evidence of host-parasite co-evolution. Here, we use computer simulations of the Major Histocompatibility Complex (MHC) of guppies (Poecilia reticulata) to study the turnover rate of alleles (temporal genetic differentiation, G'(ST)). Temporal fluctuations in MHC allele frequencies can be ≥≤order of magnitude larger than changes observed at neutral loci. Although such large fluctuations in the MHC are consistent with Red Queen dynamics, simulations show that other demographic and population genetic processes can account for this observation, these include: (1) overdominant selection, (2) fluctuating population size within a metapopulation, and (3) the number of novel MHC alleles introduced by immigrants when there are multiple duplicated genes. Synergy between these forces combined with migration rate and the effective population size can drive the rapid turnover in MHC alleles. We posit that rapid allelic turnover is an inherent property of highly polymorphic multigene families and that it cannot be taken as evidence of Red Queen dynamics. Furthermore, combining temporal samples in spatial F(ST) outlier analysis may obscure the signal of selection. Public Library of Science 2012-08-10 /pmc/articles/PMC3416836/ /pubmed/22900006 http://dx.doi.org/10.1371/journal.pone.0042119 Text en © 2012 McMullan, van Oosterhout http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
McMullan, Mark
van Oosterhout, Cock
Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title_full Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title_fullStr Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title_full_unstemmed Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title_short Inference of Selection Based on Temporal Genetic Differentiation in the Study of Highly Polymorphic Multigene Families
title_sort inference of selection based on temporal genetic differentiation in the study of highly polymorphic multigene families
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416836/
https://www.ncbi.nlm.nih.gov/pubmed/22900006
http://dx.doi.org/10.1371/journal.pone.0042119
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