Oceanography and life history predict contrasting genetic population structure in two Antartic fish species
Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a ‘seascape gene...
Published in: | Evolutionary Applications |
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Online Access: | https://hal.science/hal-02282292 https://hal.science/hal-02282292/document https://hal.science/hal-02282292/file/Young_et_al-2015-Evolutionary_Applications.pdf https://doi.org/10.1111/eva.12259 |
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ftciradhal:oai:HAL:hal-02282292v1 2024-02-11T09:57:04+01:00 Oceanography and life history predict contrasting genetic population structure in two Antartic fish species Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pacoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. British Antartic Survey British Antartic survey School of Aquatic and Fishery Sciences University of Washington Seattle Department of Animal and Plant Sciences, MERC Biomolecular Analysis Facility University of Sheffield School of Biological Sciences Wellington, New Zealand Victoria University of Wellington Ecologie des forêts de Guyane (UMR ECOFOG) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) 2015 https://hal.science/hal-02282292 https://hal.science/hal-02282292/document https://hal.science/hal-02282292/file/Young_et_al-2015-Evolutionary_Applications.pdf https://doi.org/10.1111/eva.12259 en eng HAL CCSD Blackwell info:eu-repo/semantics/altIdentifier/doi/10.1111/eva.12259 hal-02282292 https://hal.science/hal-02282292 https://hal.science/hal-02282292/document https://hal.science/hal-02282292/file/Young_et_al-2015-Evolutionary_Applications.pdf doi:10.1111/eva.12259 PRODINRA: 474712 info:eu-repo/semantics/OpenAccess ISSN: 1752-4563 EISSN: 1752-4571 Evolutionary Applications https://hal.science/hal-02282292 Evolutionary Applications, 2015, 8 (5), pp.486-505. ⟨10.1111/eva.12259⟩ champsocephalus gunnari connectivity individual-basedmodelling notothenia rossii ocean circulation planltonic dispersal population genetics scotia sea [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2015 ftciradhal https://doi.org/10.1111/eva.12259 2024-01-24T17:31:58Z Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a ‘seascape genetics’ approach, by combining oceanographic modelling and microsatellite analyses, to understand the dominant influences on the population genetic structure of two Antarctic fishes with contrasting life histories, Champsocephalus gunnari and Notothenia rossii. The close accord between the model projections and empirical genetic structure demonstrated that passive dispersal during the planktonic early life stages is the dominant influence on patterns and extent of genetic structuring in both species. The shorter planktonic phase of C. gunnari restricts direct transport of larvae between distant populations, leading to stronger regional differentiation. By contrast, geographic distance did not affect differentiation in N. rossii, whose longer larval period promotes long‐distance dispersal. Interannual variability in oceanographic flows strongly influenced the projected genetic structure, suggesting that shifts in circulation patterns due to climate change are likely to impact future genetic connectivity and opportunities for local adaptation, resilience and recovery from perturbations. Further development of realistic climate models is required to fully assess such potential impacts. Article in Journal/Newspaper Antarc* Antarctic antartic* Notothenia rossii Scotia Sea CIRAD: HAL (Agricultural Research for Development) Antarctic Scotia Sea Evolutionary Applications 8 5 486 509 |
institution |
Open Polar |
collection |
CIRAD: HAL (Agricultural Research for Development) |
op_collection_id |
ftciradhal |
language |
English |
topic |
champsocephalus gunnari connectivity individual-basedmodelling notothenia rossii ocean circulation planltonic dispersal population genetics scotia sea [SDV]Life Sciences [q-bio] |
spellingShingle |
champsocephalus gunnari connectivity individual-basedmodelling notothenia rossii ocean circulation planltonic dispersal population genetics scotia sea [SDV]Life Sciences [q-bio] Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pacoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
topic_facet |
champsocephalus gunnari connectivity individual-basedmodelling notothenia rossii ocean circulation planltonic dispersal population genetics scotia sea [SDV]Life Sciences [q-bio] |
description |
Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a ‘seascape genetics’ approach, by combining oceanographic modelling and microsatellite analyses, to understand the dominant influences on the population genetic structure of two Antarctic fishes with contrasting life histories, Champsocephalus gunnari and Notothenia rossii. The close accord between the model projections and empirical genetic structure demonstrated that passive dispersal during the planktonic early life stages is the dominant influence on patterns and extent of genetic structuring in both species. The shorter planktonic phase of C. gunnari restricts direct transport of larvae between distant populations, leading to stronger regional differentiation. By contrast, geographic distance did not affect differentiation in N. rossii, whose longer larval period promotes long‐distance dispersal. Interannual variability in oceanographic flows strongly influenced the projected genetic structure, suggesting that shifts in circulation patterns due to climate change are likely to impact future genetic connectivity and opportunities for local adaptation, resilience and recovery from perturbations. Further development of realistic climate models is required to fully assess such potential impacts. |
author2 |
British Antartic Survey British Antartic survey School of Aquatic and Fishery Sciences University of Washington Seattle Department of Animal and Plant Sciences, MERC Biomolecular Analysis Facility University of Sheffield School of Biological Sciences Wellington, New Zealand Victoria University of Wellington Ecologie des forêts de Guyane (UMR ECOFOG) Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) |
format |
Article in Journal/Newspaper |
author |
Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pacoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. |
author_facet |
Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pacoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. |
author_sort |
Young, Emma F. |
title |
Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
title_short |
Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
title_full |
Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
title_fullStr |
Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
title_full_unstemmed |
Oceanography and life history predict contrasting genetic population structure in two Antartic fish species |
title_sort |
oceanography and life history predict contrasting genetic population structure in two antartic fish species |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://hal.science/hal-02282292 https://hal.science/hal-02282292/document https://hal.science/hal-02282292/file/Young_et_al-2015-Evolutionary_Applications.pdf https://doi.org/10.1111/eva.12259 |
geographic |
Antarctic Scotia Sea |
geographic_facet |
Antarctic Scotia Sea |
genre |
Antarc* Antarctic antartic* Notothenia rossii Scotia Sea |
genre_facet |
Antarc* Antarctic antartic* Notothenia rossii Scotia Sea |
op_source |
ISSN: 1752-4563 EISSN: 1752-4571 Evolutionary Applications https://hal.science/hal-02282292 Evolutionary Applications, 2015, 8 (5), pp.486-505. ⟨10.1111/eva.12259⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/eva.12259 hal-02282292 https://hal.science/hal-02282292 https://hal.science/hal-02282292/document https://hal.science/hal-02282292/file/Young_et_al-2015-Evolutionary_Applications.pdf doi:10.1111/eva.12259 PRODINRA: 474712 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1111/eva.12259 |
container_title |
Evolutionary Applications |
container_volume |
8 |
container_issue |
5 |
container_start_page |
486 |
op_container_end_page |
509 |
_version_ |
1790608292510171136 |