Data from: 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 to 20 million individuals per year by fi...
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Online Access: | https://doi.org/10.5061/dryad.k302g |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::1b59a489de7ec70cf0997f4a5fc6e234 2023-05-15T17:36:37+02:00 Data from: 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 2017-01-01 https://doi.org/10.5061/dryad.k302g undefined unknown http://dx.doi.org/10.5061/dryad.k302g https://dx.doi.org/10.5061/DRYAD.K302G lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100186 oai:easy.dans.knaw.nl:easy-dataset:100186 10.5061/DRYAD.K302G 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Life sciences medicine and health care Fisheries Stock blue shark genetic panmixia conservation Mediterranean Sea Atlantic Ocean Pacific Ocean Prionace glauca envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.k302g https://doi.org/10.5061/DRYAD.K302G 2023-01-22T16:50:58Z 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 to 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 managements of stocks, which may be provided by large scale sampling not only of individuals worldwide, but also of loci genome-wide. SSR dataset from P. glaucaFirst column: localisation (either Mediterranean Sea: Gulf of Lion/Malta/Greece, Atlantic Ocean: Azores/Spain or Pacific Ocean: Hawaii/Australia/New Zealand). Second column:individual (individual tag). Others columns: the 9 SSR selected (BEF94, CY92Z, TB02, DZOXN, TB04, TB01, FV6T5, A2ASY and EWU1E). Missing loci are coded with "0".pg_9SSR.xlsxCytb sequences from Prionace glaucaP. glauca cytb ... Dataset North Atlantic Unknown Pacific New Zealand |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care Fisheries Stock blue shark genetic panmixia conservation Mediterranean Sea Atlantic Ocean Pacific Ocean Prionace glauca envir geo |
spellingShingle |
Life sciences medicine and health care Fisheries Stock blue shark genetic panmixia conservation Mediterranean Sea Atlantic Ocean Pacific Ocean Prionace glauca envir geo Bailleul, Diane Mackenzie, Alicia Sacchi, Olivier Poisson, François Bierne, Nicolas Arnaud-Haond, Sophie Data from: 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_facet |
Life sciences medicine and health care Fisheries Stock blue shark genetic panmixia conservation Mediterranean Sea Atlantic Ocean Pacific Ocean Prionace glauca envir geo |
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 to 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 managements of stocks, which may be provided by large scale sampling not only of individuals worldwide, but also of loci genome-wide. SSR dataset from P. glaucaFirst column: localisation (either Mediterranean Sea: Gulf of Lion/Malta/Greece, Atlantic Ocean: Azores/Spain or Pacific Ocean: Hawaii/Australia/New Zealand). Second column:individual (individual tag). Others columns: the 9 SSR selected (BEF94, CY92Z, TB02, DZOXN, TB04, TB01, FV6T5, A2ASY and EWU1E). Missing loci are coded with "0".pg_9SSR.xlsxCytb sequences from Prionace glaucaP. glauca cytb ... |
format |
Dataset |
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 |
title |
Data from: 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 |
Data from: 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 |
Data from: 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 |
Data from: 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 |
Data from: 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 |
data from: 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? |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.k302g |
geographic |
Pacific New Zealand |
geographic_facet |
Pacific New Zealand |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100186 oai:easy.dans.knaw.nl:easy-dataset:100186 10.5061/DRYAD.K302G 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c |
op_relation |
http://dx.doi.org/10.5061/dryad.k302g https://dx.doi.org/10.5061/DRYAD.K302G |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.k302g https://doi.org/10.5061/DRYAD.K302G |
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1766136157316317184 |