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Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size
Estimating population sizes and genetic diversity are key factors to understand and predict population dynamics. Marine species have been a difficult challenge in that respect, due to the difficulty in assessing population sizes and the open nature of such populations. Small, isolated islands with e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021044/ https://www.ncbi.nlm.nih.gov/pubmed/29949612 http://dx.doi.org/10.1371/journal.pone.0198901 |
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author | Crane, Nicole L. Tariel, Juliette Caselle, Jennifer E. Friedlander, Alan M. Robertson, D. Ross Bernardi, Giacomo |
author_facet | Crane, Nicole L. Tariel, Juliette Caselle, Jennifer E. Friedlander, Alan M. Robertson, D. Ross Bernardi, Giacomo |
author_sort | Crane, Nicole L. |
collection | PubMed |
description | Estimating population sizes and genetic diversity are key factors to understand and predict population dynamics. Marine species have been a difficult challenge in that respect, due to the difficulty in assessing population sizes and the open nature of such populations. Small, isolated islands with endemic species offer an opportunity to groundtruth population size estimates with empirical data and investigate the genetic consequences of such small populations. Here we focus on two endemic species of reef fish, the Clipperton damselfish, Stegastes baldwini, and the Clipperton angelfish, Holacanthus limbaughi, on Clipperton Atoll, tropical eastern Pacific. Visual surveys, performed over almost two decades and four expeditions, and genetic surveys based on genomic RAD sequences, allowed us to estimate kinship and genetic diversity, as well as to compare population size estimates based on visual surveys with effective population sizes based on genetics. We found that genetic and visual estimates of population numbers were remarkably similar. S. baldwini and H. limbaughi had population sizes of approximately 800,000 and 60,000, respectively. Relatively small population sizes resulted in low genetic diversity and the presence of apparent kinship. This study emphasizes the importance of small isolated islands as models to study population dynamics of marine organisms. |
format | Online Article Text |
id | pubmed-6021044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60210442018-07-07 Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size Crane, Nicole L. Tariel, Juliette Caselle, Jennifer E. Friedlander, Alan M. Robertson, D. Ross Bernardi, Giacomo PLoS One Research Article Estimating population sizes and genetic diversity are key factors to understand and predict population dynamics. Marine species have been a difficult challenge in that respect, due to the difficulty in assessing population sizes and the open nature of such populations. Small, isolated islands with endemic species offer an opportunity to groundtruth population size estimates with empirical data and investigate the genetic consequences of such small populations. Here we focus on two endemic species of reef fish, the Clipperton damselfish, Stegastes baldwini, and the Clipperton angelfish, Holacanthus limbaughi, on Clipperton Atoll, tropical eastern Pacific. Visual surveys, performed over almost two decades and four expeditions, and genetic surveys based on genomic RAD sequences, allowed us to estimate kinship and genetic diversity, as well as to compare population size estimates based on visual surveys with effective population sizes based on genetics. We found that genetic and visual estimates of population numbers were remarkably similar. S. baldwini and H. limbaughi had population sizes of approximately 800,000 and 60,000, respectively. Relatively small population sizes resulted in low genetic diversity and the presence of apparent kinship. This study emphasizes the importance of small isolated islands as models to study population dynamics of marine organisms. Public Library of Science 2018-06-27 /pmc/articles/PMC6021044/ /pubmed/29949612 http://dx.doi.org/10.1371/journal.pone.0198901 Text en © 2018 Crane et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Crane, Nicole L. Tariel, Juliette Caselle, Jennifer E. Friedlander, Alan M. Robertson, D. Ross Bernardi, Giacomo Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title | Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title_full | Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title_fullStr | Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title_full_unstemmed | Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title_short | Clipperton Atoll as a model to study small marine populations: Endemism and the genomic consequences of small population size |
title_sort | clipperton atoll as a model to study small marine populations: endemism and the genomic consequences of small population size |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021044/ https://www.ncbi.nlm.nih.gov/pubmed/29949612 http://dx.doi.org/10.1371/journal.pone.0198901 |
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