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The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations

For decades, chromosomal inversions have been regarded as fascinating evolutionary elements as they are expected to suppress recombination between chromosomes with opposite orientations, leading to the accumulation of genetic differences between the two configurations over time. Here, making use of...

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Autores principales: Alves, Joao M., Chikhi, Lounès, Amorim, António, Lopes, Alexandra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007553/
https://www.ncbi.nlm.nih.gov/pubmed/24682157
http://dx.doi.org/10.1093/gbe/evu064
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author Alves, Joao M.
Chikhi, Lounès
Amorim, António
Lopes, Alexandra M.
author_facet Alves, Joao M.
Chikhi, Lounès
Amorim, António
Lopes, Alexandra M.
author_sort Alves, Joao M.
collection PubMed
description For decades, chromosomal inversions have been regarded as fascinating evolutionary elements as they are expected to suppress recombination between chromosomes with opposite orientations, leading to the accumulation of genetic differences between the two configurations over time. Here, making use of publicly available population genotype data for the largest polymorphic inversion in the human genome (8p23-inv), we assessed whether this inhibitory effect of inversion rearrangements led to significant differences in the recombination landscape of two homologous DNA segments, with opposite orientation. Our analysis revealed that the accumulation of genetic differentiation is positively correlated with the variation in recombination profiles. The observed recombination dissimilarity between inversion types is consistent across all populations analyzed and surpasses the effects of geographic structure, suggesting that both structures (orientations) have been evolving independently over an extended period of time, despite being subjected to the very same demographic history. Aside this mainly independent evolution, we also identified a short segment (350 kb, <10% of the whole inversion) in the central region of the inversion where the genetic divergence between the two structural haplotypes is diminished. Although it is difficult to demonstrate it, this could be due to gene flow (possibly via double-crossing over events), which is consistent with the higher recombination rates surrounding this segment. This study demonstrates for the first time that chromosomal inversions influence the recombination landscape at a fine-scale and highlights the role of these rearrangements as drivers of genome evolution.
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spelling pubmed-40075532014-05-02 The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations Alves, Joao M. Chikhi, Lounès Amorim, António Lopes, Alexandra M. Genome Biol Evol Research Article For decades, chromosomal inversions have been regarded as fascinating evolutionary elements as they are expected to suppress recombination between chromosomes with opposite orientations, leading to the accumulation of genetic differences between the two configurations over time. Here, making use of publicly available population genotype data for the largest polymorphic inversion in the human genome (8p23-inv), we assessed whether this inhibitory effect of inversion rearrangements led to significant differences in the recombination landscape of two homologous DNA segments, with opposite orientation. Our analysis revealed that the accumulation of genetic differentiation is positively correlated with the variation in recombination profiles. The observed recombination dissimilarity between inversion types is consistent across all populations analyzed and surpasses the effects of geographic structure, suggesting that both structures (orientations) have been evolving independently over an extended period of time, despite being subjected to the very same demographic history. Aside this mainly independent evolution, we also identified a short segment (350 kb, <10% of the whole inversion) in the central region of the inversion where the genetic divergence between the two structural haplotypes is diminished. Although it is difficult to demonstrate it, this could be due to gene flow (possibly via double-crossing over events), which is consistent with the higher recombination rates surrounding this segment. This study demonstrates for the first time that chromosomal inversions influence the recombination landscape at a fine-scale and highlights the role of these rearrangements as drivers of genome evolution. Oxford University Press 2014-03-28 /pmc/articles/PMC4007553/ /pubmed/24682157 http://dx.doi.org/10.1093/gbe/evu064 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Alves, Joao M.
Chikhi, Lounès
Amorim, António
Lopes, Alexandra M.
The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title_full The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title_fullStr The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title_full_unstemmed The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title_short The 8p23 Inversion Polymorphism Determines Local Recombination Heterogeneity across Human Populations
title_sort 8p23 inversion polymorphism determines local recombination heterogeneity across human populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007553/
https://www.ncbi.nlm.nih.gov/pubmed/24682157
http://dx.doi.org/10.1093/gbe/evu064
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