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Genetic load has potential in large populations but is realized in small inbred populations

Populations with higher genetic diversity and larger effective sizes have greater evolutionary capacity (i.e., adaptive potential) to respond to ecological stressors. We are interested in how the variation captured in protein‐coding genes fluctuates relative to overall genomic diversity and whether...

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Autores principales: Mathur, Samarth, DeWoody, J. Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210801/
https://www.ncbi.nlm.nih.gov/pubmed/34178103
http://dx.doi.org/10.1111/eva.13216
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author Mathur, Samarth
DeWoody, J. Andrew
author_facet Mathur, Samarth
DeWoody, J. Andrew
author_sort Mathur, Samarth
collection PubMed
description Populations with higher genetic diversity and larger effective sizes have greater evolutionary capacity (i.e., adaptive potential) to respond to ecological stressors. We are interested in how the variation captured in protein‐coding genes fluctuates relative to overall genomic diversity and whether smaller populations suffer greater costs due to their genetic load of deleterious mutations compared with larger populations. We analyzed individual whole‐genome sequences (N = 74) from three different populations of Montezuma quail (Cyrtonyx montezumae), a small ground‐dwelling bird that is sustainably harvested in some portions of its range but is of conservation concern elsewhere. Our historical demographic results indicate that Montezuma quail populations in the United States exhibit low levels of genomic diversity due in large part to long‐term declines in effective population sizes over nearly a million years. The smaller and more isolated Texas population is significantly more inbred than the large Arizona and the intermediate‐sized New Mexico populations we surveyed. The Texas gene pool has a significantly smaller proportion of strongly deleterious variants segregating in the population compared with the larger Arizona gene pool. Our results demonstrate that even in small populations, highly deleterious mutations are effectively purged and/or lost due to drift. However, we find that in small populations the realized genetic load is elevated because of inbreeding coupled with a higher frequency of slightly deleterious mutations that are manifested in homozygotes. Overall, our study illustrates how population genomics can be used to proactively assess both neutral and functional aspects of contemporary genetic diversity in a conservation framework while simultaneously considering deeper demographic histories.
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spelling pubmed-82108012021-06-25 Genetic load has potential in large populations but is realized in small inbred populations Mathur, Samarth DeWoody, J. Andrew Evol Appl Original Articles Populations with higher genetic diversity and larger effective sizes have greater evolutionary capacity (i.e., adaptive potential) to respond to ecological stressors. We are interested in how the variation captured in protein‐coding genes fluctuates relative to overall genomic diversity and whether smaller populations suffer greater costs due to their genetic load of deleterious mutations compared with larger populations. We analyzed individual whole‐genome sequences (N = 74) from three different populations of Montezuma quail (Cyrtonyx montezumae), a small ground‐dwelling bird that is sustainably harvested in some portions of its range but is of conservation concern elsewhere. Our historical demographic results indicate that Montezuma quail populations in the United States exhibit low levels of genomic diversity due in large part to long‐term declines in effective population sizes over nearly a million years. The smaller and more isolated Texas population is significantly more inbred than the large Arizona and the intermediate‐sized New Mexico populations we surveyed. The Texas gene pool has a significantly smaller proportion of strongly deleterious variants segregating in the population compared with the larger Arizona gene pool. Our results demonstrate that even in small populations, highly deleterious mutations are effectively purged and/or lost due to drift. However, we find that in small populations the realized genetic load is elevated because of inbreeding coupled with a higher frequency of slightly deleterious mutations that are manifested in homozygotes. Overall, our study illustrates how population genomics can be used to proactively assess both neutral and functional aspects of contemporary genetic diversity in a conservation framework while simultaneously considering deeper demographic histories. John Wiley and Sons Inc. 2021-04-10 /pmc/articles/PMC8210801/ /pubmed/34178103 http://dx.doi.org/10.1111/eva.13216 Text en © 2021 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Mathur, Samarth
DeWoody, J. Andrew
Genetic load has potential in large populations but is realized in small inbred populations
title Genetic load has potential in large populations but is realized in small inbred populations
title_full Genetic load has potential in large populations but is realized in small inbred populations
title_fullStr Genetic load has potential in large populations but is realized in small inbred populations
title_full_unstemmed Genetic load has potential in large populations but is realized in small inbred populations
title_short Genetic load has potential in large populations but is realized in small inbred populations
title_sort genetic load has potential in large populations but is realized in small inbred populations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210801/
https://www.ncbi.nlm.nih.gov/pubmed/34178103
http://dx.doi.org/10.1111/eva.13216
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