Oceanography and life history predict contrasting genetic population structure in two Antarctic 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: | http://nora.nerc.ac.uk/id/eprint/508391/ https://nora.nerc.ac.uk/id/eprint/508391/1/Young_et_al-2015-Evolutionary_Applications.pdf |
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ftnerc:oai:nora.nerc.ac.uk:508391 2023-05-15T13:48:08+02:00 Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pascoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. 2015-06 text http://nora.nerc.ac.uk/id/eprint/508391/ https://nora.nerc.ac.uk/id/eprint/508391/1/Young_et_al-2015-Evolutionary_Applications.pdf en eng Wiley https://nora.nerc.ac.uk/id/eprint/508391/1/Young_et_al-2015-Evolutionary_Applications.pdf Young, Emma F. orcid:0000-0002-7069-6109 Belchier, Mark; Hauser, Lorenz; Horsburgh, Gavin J.; Meredith, Michael P. orcid:0000-0002-7342-7756 Murphy, Eugene J. orcid:0000-0002-7369-9196 Pascoal, Sonia; Rock, Jennifer; Tysklind, Niklas; Carvalho, Gary R. 2015 Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species. Evolutionary Applications, 8 (5). 486-509. https://doi.org/10.1111/eva.12259 <https://doi.org/10.1111/eva.12259> cc_by_4 CC-BY Publication - Article PeerReviewed 2015 ftnerc https://doi.org/10.1111/eva.12259 2023-02-04T19:40:20Z 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 Notothenia rossii Natural Environment Research Council: NERC Open Research Archive Antarctic Evolutionary Applications 8 5 486 509 |
institution |
Open Polar |
collection |
Natural Environment Research Council: NERC Open Research Archive |
op_collection_id |
ftnerc |
language |
English |
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. |
format |
Article in Journal/Newspaper |
author |
Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pascoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. |
spellingShingle |
Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pascoal, Sonia Rock, Jennifer Tysklind, Niklas Carvalho, Gary R. Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
author_facet |
Young, Emma F. Belchier, Mark Hauser, Lorenz Horsburgh, Gavin J. Meredith, Michael P. Murphy, Eugene J. Pascoal, 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 Antarctic fish species |
title_short |
Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
title_full |
Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
title_fullStr |
Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
title_full_unstemmed |
Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species |
title_sort |
oceanography and life history predict contrasting genetic population structure in two antarctic fish species |
publisher |
Wiley |
publishDate |
2015 |
url |
http://nora.nerc.ac.uk/id/eprint/508391/ https://nora.nerc.ac.uk/id/eprint/508391/1/Young_et_al-2015-Evolutionary_Applications.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Notothenia rossii |
genre_facet |
Antarc* Antarctic Notothenia rossii |
op_relation |
https://nora.nerc.ac.uk/id/eprint/508391/1/Young_et_al-2015-Evolutionary_Applications.pdf Young, Emma F. orcid:0000-0002-7069-6109 Belchier, Mark; Hauser, Lorenz; Horsburgh, Gavin J.; Meredith, Michael P. orcid:0000-0002-7342-7756 Murphy, Eugene J. orcid:0000-0002-7369-9196 Pascoal, Sonia; Rock, Jennifer; Tysklind, Niklas; Carvalho, Gary R. 2015 Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species. Evolutionary Applications, 8 (5). 486-509. https://doi.org/10.1111/eva.12259 <https://doi.org/10.1111/eva.12259> |
op_rights |
cc_by_4 |
op_rightsnorm |
CC-BY |
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_ |
1766248774613598208 |