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Disrupted Gene Networks in Subfertile Hybrid House Mice

The Dobzhansky–Muller (DM) model provides a widely accepted mechanism for the evolution of reproductive isolation: incompatible substitutions disrupt interactions between genes. To date, few candidate incompatibility genes have been identified, leaving the genes driving speciation mostly uncharacter...

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Autores principales: Morgan, Katy, Harr, Bettina, White, Michael A, Payseur, Bret A, Turner, Leslie M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253214/
https://www.ncbi.nlm.nih.gov/pubmed/32076722
http://dx.doi.org/10.1093/molbev/msaa002
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author Morgan, Katy
Harr, Bettina
White, Michael A
Payseur, Bret A
Turner, Leslie M
author_facet Morgan, Katy
Harr, Bettina
White, Michael A
Payseur, Bret A
Turner, Leslie M
author_sort Morgan, Katy
collection PubMed
description The Dobzhansky–Muller (DM) model provides a widely accepted mechanism for the evolution of reproductive isolation: incompatible substitutions disrupt interactions between genes. To date, few candidate incompatibility genes have been identified, leaving the genes driving speciation mostly uncharacterized. The importance of interactions in the DM model suggests that gene coexpression networks provide a powerful framework to understand disrupted pathways associated with postzygotic isolation. Here, we perform weighted gene coexpression network analysis to infer gene interactions in hybrids of two recently diverged European house mouse subspecies, Mus mus domesticus and M. m. musculus, which commonly show hybrid male sterility or subfertility. We use genome-wide testis expression data from 467 hybrid mice from two mapping populations: F(2)s from a laboratory cross between wild-derived pure subspecies strains and offspring of natural hybrids captured in the Central Europe hybrid zone. This large data set enabled us to build a robust consensus network using hybrid males with fertile phenotypes. We identify several expression modules, or groups of coexpressed genes, that are disrupted in subfertile hybrids, including modules functionally enriched for spermatogenesis, cilium and sperm flagellum organization, chromosome organization, and DNA repair, and including genes expressed in spermatogonia, spermatocytes, and spermatids. Our network-based approach enabled us to hone in on specific hub genes likely to be influencing module-wide gene expression and hence potentially driving large-effect DM incompatibilities. A disproportionate number of hub genes lie within sterility loci identified previously in the hybrid zone mapping population and represent promising candidate barrier genes and targets for future functional analysis.
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spelling pubmed-72532142020-06-02 Disrupted Gene Networks in Subfertile Hybrid House Mice Morgan, Katy Harr, Bettina White, Michael A Payseur, Bret A Turner, Leslie M Mol Biol Evol Discoveries The Dobzhansky–Muller (DM) model provides a widely accepted mechanism for the evolution of reproductive isolation: incompatible substitutions disrupt interactions between genes. To date, few candidate incompatibility genes have been identified, leaving the genes driving speciation mostly uncharacterized. The importance of interactions in the DM model suggests that gene coexpression networks provide a powerful framework to understand disrupted pathways associated with postzygotic isolation. Here, we perform weighted gene coexpression network analysis to infer gene interactions in hybrids of two recently diverged European house mouse subspecies, Mus mus domesticus and M. m. musculus, which commonly show hybrid male sterility or subfertility. We use genome-wide testis expression data from 467 hybrid mice from two mapping populations: F(2)s from a laboratory cross between wild-derived pure subspecies strains and offspring of natural hybrids captured in the Central Europe hybrid zone. This large data set enabled us to build a robust consensus network using hybrid males with fertile phenotypes. We identify several expression modules, or groups of coexpressed genes, that are disrupted in subfertile hybrids, including modules functionally enriched for spermatogenesis, cilium and sperm flagellum organization, chromosome organization, and DNA repair, and including genes expressed in spermatogonia, spermatocytes, and spermatids. Our network-based approach enabled us to hone in on specific hub genes likely to be influencing module-wide gene expression and hence potentially driving large-effect DM incompatibilities. A disproportionate number of hub genes lie within sterility loci identified previously in the hybrid zone mapping population and represent promising candidate barrier genes and targets for future functional analysis. Oxford University Press 2020-06 2020-01-12 /pmc/articles/PMC7253214/ /pubmed/32076722 http://dx.doi.org/10.1093/molbev/msaa002 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Discoveries
Morgan, Katy
Harr, Bettina
White, Michael A
Payseur, Bret A
Turner, Leslie M
Disrupted Gene Networks in Subfertile Hybrid House Mice
title Disrupted Gene Networks in Subfertile Hybrid House Mice
title_full Disrupted Gene Networks in Subfertile Hybrid House Mice
title_fullStr Disrupted Gene Networks in Subfertile Hybrid House Mice
title_full_unstemmed Disrupted Gene Networks in Subfertile Hybrid House Mice
title_short Disrupted Gene Networks in Subfertile Hybrid House Mice
title_sort disrupted gene networks in subfertile hybrid house mice
topic Discoveries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253214/
https://www.ncbi.nlm.nih.gov/pubmed/32076722
http://dx.doi.org/10.1093/molbev/msaa002
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