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Optimal Management of Genetic Diversity in Subdivided Populations

One of the main objectives of conservation programs is the maintenance of genetic diversity because this provides the adaptive potential of populations to face new environmental challenges. Genetic diversity is generally assessed by means of neutral molecular markers, and it is usually quantified by...

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Autores principales: López-Cortegano, Eugenio, Pouso, Ramón, Labrador, Adriana, Pérez-Figueroa, Andrés, Fernández, Jesús, Caballero, Armando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753960/
https://www.ncbi.nlm.nih.gov/pubmed/31572448
http://dx.doi.org/10.3389/fgene.2019.00843
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author López-Cortegano, Eugenio
Pouso, Ramón
Labrador, Adriana
Pérez-Figueroa, Andrés
Fernández, Jesús
Caballero, Armando
author_facet López-Cortegano, Eugenio
Pouso, Ramón
Labrador, Adriana
Pérez-Figueroa, Andrés
Fernández, Jesús
Caballero, Armando
author_sort López-Cortegano, Eugenio
collection PubMed
description One of the main objectives of conservation programs is the maintenance of genetic diversity because this provides the adaptive potential of populations to face new environmental challenges. Genetic diversity is generally assessed by means of neutral molecular markers, and it is usually quantified by the expected heterozygosity under Hardy-Weinberg equilibrium and the number of alleles per locus or allelic diversity. These two measures of genetic diversity are complementary because whereas the former is directly related to genetic variance for quantitative traits and, therefore, to the short-term response to selection and adaptation, the latter is more sensitive to population bottlenecks and relates more strongly to the long-term capacity of adaptation of populations. In the context of structured populations undergoing conservation programs, it is important to decide the optimum management strategy to preserve as much genetic diversity as possible while avoiding inbreeding. Here we examine, through computer simulations, the consequences of choosing a conservation strategy based on maximizing either heterozygosity or allelic diversity of single-nucleotide polymorphism haplotypes in a subdivided population. Our results suggest that maximization of allelic diversity can be more efficient in maintaining the genetic diversity of subdivided populations than maximization of expected heterozygosity because the former maintains a larger number of alleles while making a better control of inbreeding. Thus, maximization of allelic diversity should be a recommended strategy in conservation programs for structured populations.
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spelling pubmed-67539602019-09-30 Optimal Management of Genetic Diversity in Subdivided Populations López-Cortegano, Eugenio Pouso, Ramón Labrador, Adriana Pérez-Figueroa, Andrés Fernández, Jesús Caballero, Armando Front Genet Genetics One of the main objectives of conservation programs is the maintenance of genetic diversity because this provides the adaptive potential of populations to face new environmental challenges. Genetic diversity is generally assessed by means of neutral molecular markers, and it is usually quantified by the expected heterozygosity under Hardy-Weinberg equilibrium and the number of alleles per locus or allelic diversity. These two measures of genetic diversity are complementary because whereas the former is directly related to genetic variance for quantitative traits and, therefore, to the short-term response to selection and adaptation, the latter is more sensitive to population bottlenecks and relates more strongly to the long-term capacity of adaptation of populations. In the context of structured populations undergoing conservation programs, it is important to decide the optimum management strategy to preserve as much genetic diversity as possible while avoiding inbreeding. Here we examine, through computer simulations, the consequences of choosing a conservation strategy based on maximizing either heterozygosity or allelic diversity of single-nucleotide polymorphism haplotypes in a subdivided population. Our results suggest that maximization of allelic diversity can be more efficient in maintaining the genetic diversity of subdivided populations than maximization of expected heterozygosity because the former maintains a larger number of alleles while making a better control of inbreeding. Thus, maximization of allelic diversity should be a recommended strategy in conservation programs for structured populations. Frontiers Media S.A. 2019-09-13 /pmc/articles/PMC6753960/ /pubmed/31572448 http://dx.doi.org/10.3389/fgene.2019.00843 Text en Copyright © 2019 López-Cortegano, Pouso, Labrador, Pérez-Figueroa, Fernández and Caballero http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
López-Cortegano, Eugenio
Pouso, Ramón
Labrador, Adriana
Pérez-Figueroa, Andrés
Fernández, Jesús
Caballero, Armando
Optimal Management of Genetic Diversity in Subdivided Populations
title Optimal Management of Genetic Diversity in Subdivided Populations
title_full Optimal Management of Genetic Diversity in Subdivided Populations
title_fullStr Optimal Management of Genetic Diversity in Subdivided Populations
title_full_unstemmed Optimal Management of Genetic Diversity in Subdivided Populations
title_short Optimal Management of Genetic Diversity in Subdivided Populations
title_sort optimal management of genetic diversity in subdivided populations
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753960/
https://www.ncbi.nlm.nih.gov/pubmed/31572448
http://dx.doi.org/10.3389/fgene.2019.00843
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