Cargando…
Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation?
The blue shark Prionace glauca, among the most common and widely studied pelagic sharks, is a top predator, exhibiting the widest distribution range. However, little is known about its population structure and spatial dynamics. With an estimated removal of 10–20 million individuals per year by fishe...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978958/ https://www.ncbi.nlm.nih.gov/pubmed/29875806 http://dx.doi.org/10.1111/eva.12591 |
_version_ | 1783327591279624192 |
---|---|
author | Bailleul, Diane Mackenzie, Alicia Sacchi, Olivier Poisson, François Bierne, Nicolas Arnaud‐Haond, Sophie |
author_facet | Bailleul, Diane Mackenzie, Alicia Sacchi, Olivier Poisson, François Bierne, Nicolas Arnaud‐Haond, Sophie |
author_sort | Bailleul, Diane |
collection | PubMed |
description | The blue shark Prionace glauca, among the most common and widely studied pelagic sharks, is a top predator, exhibiting the widest distribution range. However, little is known about its population structure and spatial dynamics. With an estimated removal of 10–20 million individuals per year by fisheries, the species is classified as “Near Threatened” by International Union for Conservation of Nature. We lack the knowledge to forecast the long‐term consequences of such a huge removal on this top predator itself and on its trophic network. The genetic analysis of more than 200 samples collected at broad scale (from Mediterranean Sea, North Atlantic and Pacific Oceans) using mtDNA and nine microsatellite markers allowed to detect signatures of genetic bottlenecks but a nearly complete genetic homogeneity across the entire studied range. This apparent panmixia could be explained by a genetic lag‐time effect illustrated by simulations of demographic changes that were not detectable through standard genetic analysis before a long transitional phase here introduced as the “population grey zone.” The results presented here can thus encompass distinct explanatory scenarios spanning from a single demographic population to several independent populations. This limitation prevents the genetic‐based delineation of stocks and thus the ability to anticipate the consequences of severe depletions at all scales. More information is required for the conservation of population(s) and management of stocks, which may be provided by large‐scale sampling not only of individuals worldwide, but also of loci genomewide. |
format | Online Article Text |
id | pubmed-5978958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59789582018-06-06 Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? Bailleul, Diane Mackenzie, Alicia Sacchi, Olivier Poisson, François Bierne, Nicolas Arnaud‐Haond, Sophie Evol Appl Original Articles The blue shark Prionace glauca, among the most common and widely studied pelagic sharks, is a top predator, exhibiting the widest distribution range. However, little is known about its population structure and spatial dynamics. With an estimated removal of 10–20 million individuals per year by fisheries, the species is classified as “Near Threatened” by International Union for Conservation of Nature. We lack the knowledge to forecast the long‐term consequences of such a huge removal on this top predator itself and on its trophic network. The genetic analysis of more than 200 samples collected at broad scale (from Mediterranean Sea, North Atlantic and Pacific Oceans) using mtDNA and nine microsatellite markers allowed to detect signatures of genetic bottlenecks but a nearly complete genetic homogeneity across the entire studied range. This apparent panmixia could be explained by a genetic lag‐time effect illustrated by simulations of demographic changes that were not detectable through standard genetic analysis before a long transitional phase here introduced as the “population grey zone.” The results presented here can thus encompass distinct explanatory scenarios spanning from a single demographic population to several independent populations. This limitation prevents the genetic‐based delineation of stocks and thus the ability to anticipate the consequences of severe depletions at all scales. More information is required for the conservation of population(s) and management of stocks, which may be provided by large‐scale sampling not only of individuals worldwide, but also of loci genomewide. John Wiley and Sons Inc. 2018-02-22 /pmc/articles/PMC5978958/ /pubmed/29875806 http://dx.doi.org/10.1111/eva.12591 Text en © 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://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 Bailleul, Diane Mackenzie, Alicia Sacchi, Olivier Poisson, François Bierne, Nicolas Arnaud‐Haond, Sophie Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title | Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title_full | Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title_fullStr | Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title_full_unstemmed | Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title_short | Large‐scale genetic panmixia in the blue shark (Prionace glauca): A single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
title_sort | large‐scale genetic panmixia in the blue shark (prionace glauca): a single worldwide population, or a genetic lag‐time effect of the “grey zone” of differentiation? |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978958/ https://www.ncbi.nlm.nih.gov/pubmed/29875806 http://dx.doi.org/10.1111/eva.12591 |
work_keys_str_mv | AT bailleuldiane largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation AT mackenziealicia largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation AT sacchiolivier largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation AT poissonfrancois largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation AT biernenicolas largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation AT arnaudhaondsophie largescalegeneticpanmixiainthebluesharkprionaceglaucaasingleworldwidepopulationorageneticlagtimeeffectofthegreyzoneofdifferentiation |