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Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles

Understanding how ocean currents impact the distribution and connectivity of marine species, provides vital information for the effective conservation management of migratory marine animals. Here, we used a combination of molecular genetics and ocean drift simulations to investigate the spatial ecol...

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Autores principales: Jensen, Michael P., Dalleau, Mayeul, Gaspar, Philippe, Lalire, Maxime, Jean, Claire, Ciccione, Stéphane, Mortimer, Jeanne A., Quillard, Mireille, Taquet, Coralie, Wamukota, Andrew, Leroux, Géraud, Bourjea, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140902/
https://www.ncbi.nlm.nih.gov/pubmed/32150879
http://dx.doi.org/10.3390/genes11030278
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author Jensen, Michael P.
Dalleau, Mayeul
Gaspar, Philippe
Lalire, Maxime
Jean, Claire
Ciccione, Stéphane
Mortimer, Jeanne A.
Quillard, Mireille
Taquet, Coralie
Wamukota, Andrew
Leroux, Géraud
Bourjea, Jérôme
author_facet Jensen, Michael P.
Dalleau, Mayeul
Gaspar, Philippe
Lalire, Maxime
Jean, Claire
Ciccione, Stéphane
Mortimer, Jeanne A.
Quillard, Mireille
Taquet, Coralie
Wamukota, Andrew
Leroux, Géraud
Bourjea, Jérôme
author_sort Jensen, Michael P.
collection PubMed
description Understanding how ocean currents impact the distribution and connectivity of marine species, provides vital information for the effective conservation management of migratory marine animals. Here, we used a combination of molecular genetics and ocean drift simulations to investigate the spatial ecology of juvenile green turtle (Chelonia mydas) developmental habitats, and assess the role of ocean currents in driving the dispersal of green turtle hatchlings. We analyzed mitochondrial (mt)DNA sequenced from 358 juvenile green turtles, and from eight developmental areas located throughout the Southwest Indian Ocean (SWIO). A mixed stock analysis (MSA) was applied to estimate the level of connectivity between developmental sites and published genetic data from 38 known genetic stocks. The MSA showed that the juvenile turtles at all sites originated almost exclusively from the three known SWIO stocks, with a clear shift in stock contributions between sites in the South and Central Areas. The results from the genetic analysis could largely be explained by regional current patterns, as shown by the results of passive numerical drift simulations linking breeding sites to developmental areas utilized by juvenile green turtles. Integrating genetic and oceanographic data helps researchers to better understand how marine species interact with ocean currents at different stages of their lifecycle, and provides the scientific basis for effective conservation management.
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spelling pubmed-71409022020-04-10 Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles Jensen, Michael P. Dalleau, Mayeul Gaspar, Philippe Lalire, Maxime Jean, Claire Ciccione, Stéphane Mortimer, Jeanne A. Quillard, Mireille Taquet, Coralie Wamukota, Andrew Leroux, Géraud Bourjea, Jérôme Genes (Basel) Article Understanding how ocean currents impact the distribution and connectivity of marine species, provides vital information for the effective conservation management of migratory marine animals. Here, we used a combination of molecular genetics and ocean drift simulations to investigate the spatial ecology of juvenile green turtle (Chelonia mydas) developmental habitats, and assess the role of ocean currents in driving the dispersal of green turtle hatchlings. We analyzed mitochondrial (mt)DNA sequenced from 358 juvenile green turtles, and from eight developmental areas located throughout the Southwest Indian Ocean (SWIO). A mixed stock analysis (MSA) was applied to estimate the level of connectivity between developmental sites and published genetic data from 38 known genetic stocks. The MSA showed that the juvenile turtles at all sites originated almost exclusively from the three known SWIO stocks, with a clear shift in stock contributions between sites in the South and Central Areas. The results from the genetic analysis could largely be explained by regional current patterns, as shown by the results of passive numerical drift simulations linking breeding sites to developmental areas utilized by juvenile green turtles. Integrating genetic and oceanographic data helps researchers to better understand how marine species interact with ocean currents at different stages of their lifecycle, and provides the scientific basis for effective conservation management. MDPI 2020-03-05 /pmc/articles/PMC7140902/ /pubmed/32150879 http://dx.doi.org/10.3390/genes11030278 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jensen, Michael P.
Dalleau, Mayeul
Gaspar, Philippe
Lalire, Maxime
Jean, Claire
Ciccione, Stéphane
Mortimer, Jeanne A.
Quillard, Mireille
Taquet, Coralie
Wamukota, Andrew
Leroux, Géraud
Bourjea, Jérôme
Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title_full Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title_fullStr Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title_full_unstemmed Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title_short Seascape Genetics and the Spatial Ecology of Juvenile Green Turtles
title_sort seascape genetics and the spatial ecology of juvenile green turtles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140902/
https://www.ncbi.nlm.nih.gov/pubmed/32150879
http://dx.doi.org/10.3390/genes11030278
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