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Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)

Estimates of genetic effective population size (Ne) using molecular markers are a potentially useful tool for the management of endangered through to commercial species. However, pitfalls are predicted when the effective size is large because estimates require large numbers of samples from wild popu...

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Autores principales: Macbeth, Gilbert Michael, Broderick, Damien, Buckworth, Rik C., Ovenden, Jennifer R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618357/
https://www.ncbi.nlm.nih.gov/pubmed/23550119
http://dx.doi.org/10.1534/g3.112.005124
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author Macbeth, Gilbert Michael
Broderick, Damien
Buckworth, Rik C.
Ovenden, Jennifer R.
author_facet Macbeth, Gilbert Michael
Broderick, Damien
Buckworth, Rik C.
Ovenden, Jennifer R.
author_sort Macbeth, Gilbert Michael
collection PubMed
description Estimates of genetic effective population size (Ne) using molecular markers are a potentially useful tool for the management of endangered through to commercial species. However, pitfalls are predicted when the effective size is large because estimates require large numbers of samples from wild populations for statistical validity. Our simulations showed that linkage disequilibrium estimates of Ne up to 10,000 with finite confidence limits can be achieved with sample sizes of approximately 5000. This number was deduced from empirical allele frequencies of seven polymorphic microsatellite loci in a commercially harvested fisheries species, the narrow-barred Spanish mackerel (Scomberomorus commerson). As expected, the smallest SD of Ne estimates occurred when low-frequency alleles were excluded. Additional simulations indicated that the linkage disequilibrium method was sensitive to small numbers of genotypes from cryptic species or conspecific immigrants. A correspondence analysis algorithm was developed to detect and remove outlier genotypes that could possibly be inadvertently sampled from cryptic species or nonbreeding immigrants from genetically separate populations. Simulations demonstrated the value of this approach in Spanish mackerel data. When putative immigrants were removed from the empirical data, 95% of the Ne estimates from jacknife resampling were greater than 24,000.
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spelling pubmed-36183572013-04-08 Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson) Macbeth, Gilbert Michael Broderick, Damien Buckworth, Rik C. Ovenden, Jennifer R. G3 (Bethesda) Investigations Estimates of genetic effective population size (Ne) using molecular markers are a potentially useful tool for the management of endangered through to commercial species. However, pitfalls are predicted when the effective size is large because estimates require large numbers of samples from wild populations for statistical validity. Our simulations showed that linkage disequilibrium estimates of Ne up to 10,000 with finite confidence limits can be achieved with sample sizes of approximately 5000. This number was deduced from empirical allele frequencies of seven polymorphic microsatellite loci in a commercially harvested fisheries species, the narrow-barred Spanish mackerel (Scomberomorus commerson). As expected, the smallest SD of Ne estimates occurred when low-frequency alleles were excluded. Additional simulations indicated that the linkage disequilibrium method was sensitive to small numbers of genotypes from cryptic species or conspecific immigrants. A correspondence analysis algorithm was developed to detect and remove outlier genotypes that could possibly be inadvertently sampled from cryptic species or nonbreeding immigrants from genetically separate populations. Simulations demonstrated the value of this approach in Spanish mackerel data. When putative immigrants were removed from the empirical data, 95% of the Ne estimates from jacknife resampling were greater than 24,000. Genetics Society of America 2013-04-01 /pmc/articles/PMC3618357/ /pubmed/23550119 http://dx.doi.org/10.1534/g3.112.005124 Text en Copyright © 2013 The State of Queensland, Department of Agriculture, Fisheries and Forestry http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Macbeth, Gilbert Michael
Broderick, Damien
Buckworth, Rik C.
Ovenden, Jennifer R.
Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title_full Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title_fullStr Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title_full_unstemmed Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title_short Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)
title_sort linkage disequilibrium estimation of effective population size with immigrants from divergent populations: a case study on spanish mackerel (scomberomorus commerson)
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3618357/
https://www.ncbi.nlm.nih.gov/pubmed/23550119
http://dx.doi.org/10.1534/g3.112.005124
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