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Ocean currents help explain population genetic structure
Management and conservation can be greatly informed by considering explicitly how environmental factors influence population genetic structure. Using simulated larval dispersal estimates based on ocean current observations, we demonstrate how explicit consideration of frequency of exchange of larvae...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871860/ https://www.ncbi.nlm.nih.gov/pubmed/20133354 http://dx.doi.org/10.1098/rspb.2009.2214 |
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author | White, Crow Selkoe, Kimberly A. Watson, James Siegel, David A. Zacherl, Danielle C. Toonen, Robert J. |
author_facet | White, Crow Selkoe, Kimberly A. Watson, James Siegel, David A. Zacherl, Danielle C. Toonen, Robert J. |
author_sort | White, Crow |
collection | PubMed |
description | Management and conservation can be greatly informed by considering explicitly how environmental factors influence population genetic structure. Using simulated larval dispersal estimates based on ocean current observations, we demonstrate how explicit consideration of frequency of exchange of larvae among sites via ocean advection can fundamentally change the interpretation of empirical population genetic structuring as compared with conventional spatial genetic analyses. Both frequency of larval exchange and empirical genetic difference were uncorrelated with Euclidean distance between sites. When transformed into relative oceanographic distances and integrated into a genetic isolation-by-distance framework, however, the frequency of larval exchange explained nearly 50 per cent of the variance in empirical genetic differences among sites over scales of tens of kilometres. Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites. Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation. This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management. |
format | Text |
id | pubmed-2871860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-28718602010-05-18 Ocean currents help explain population genetic structure White, Crow Selkoe, Kimberly A. Watson, James Siegel, David A. Zacherl, Danielle C. Toonen, Robert J. Proc Biol Sci Research articles Management and conservation can be greatly informed by considering explicitly how environmental factors influence population genetic structure. Using simulated larval dispersal estimates based on ocean current observations, we demonstrate how explicit consideration of frequency of exchange of larvae among sites via ocean advection can fundamentally change the interpretation of empirical population genetic structuring as compared with conventional spatial genetic analyses. Both frequency of larval exchange and empirical genetic difference were uncorrelated with Euclidean distance between sites. When transformed into relative oceanographic distances and integrated into a genetic isolation-by-distance framework, however, the frequency of larval exchange explained nearly 50 per cent of the variance in empirical genetic differences among sites over scales of tens of kilometres. Explanatory power was strongest when we considered effects of multiple generations of larval dispersal via intermediary locations on the long-term probability of exchange between sites. Our results uncover meaningful spatial patterning to population genetic structuring that corresponds with ocean circulation. This study advances our ability to interpret population structure from complex genetic data characteristic of high gene flow species, validates recent advances in oceanographic approaches for assessing larval dispersal and represents a novel approach to characterize population connectivity at small spatial scales germane to conservation and fisheries management. The Royal Society 2010-06-07 2010-02-04 /pmc/articles/PMC2871860/ /pubmed/20133354 http://dx.doi.org/10.1098/rspb.2009.2214 Text en © 2010 The Royal Society http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research articles White, Crow Selkoe, Kimberly A. Watson, James Siegel, David A. Zacherl, Danielle C. Toonen, Robert J. Ocean currents help explain population genetic structure |
title | Ocean currents help explain population genetic structure |
title_full | Ocean currents help explain population genetic structure |
title_fullStr | Ocean currents help explain population genetic structure |
title_full_unstemmed | Ocean currents help explain population genetic structure |
title_short | Ocean currents help explain population genetic structure |
title_sort | ocean currents help explain population genetic structure |
topic | Research articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2871860/ https://www.ncbi.nlm.nih.gov/pubmed/20133354 http://dx.doi.org/10.1098/rspb.2009.2214 |
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