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Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting
Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316484/ https://www.ncbi.nlm.nih.gov/pubmed/37404702 http://dx.doi.org/10.1002/ece3.10257 |
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author | Hernawan, Udhi E. van Dijk, Kor‐jent Kendrick, Gary A. Feng, Ming Berry, Oliver Kavazos, Christopher McMahon, Kathryn |
author_facet | Hernawan, Udhi E. van Dijk, Kor‐jent Kendrick, Gary A. Feng, Ming Berry, Oliver Kavazos, Christopher McMahon, Kathryn |
author_sort | Hernawan, Udhi E. |
collection | PubMed |
description | Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, Thalassia hemprichii, at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme tidal ranges (up to 11 m, the world's largest tropical tides). We incorporated genetic data from a panel of 16 microsatellite markers, overwater distance, oceanographic data derived from predicted passive dispersal on a 2 km‐resolution hydrodynamic model, and habitat characteristics from each meadow sampled. We detected significant spatial genetic structure and asymmetric gene flow, in which meadows 12–14 km apart were less connected than ones 30–50 km apart. This pattern was explained by oceanographic connectivity and differences in habitat characteristics, suggesting a combined scenario of dispersal limitation and facilitation by ocean current with local adaptation. Our findings add to the growing evidence for the key role of seascape attributes in driving spatial patterns of gene flow. Despite the potential for long‐distance dispersal, there was significant genetic structuring over small spatial scales implicating dispersal and recruitment bottlenecks and highlighting the importance of implementing local‐scale conservation and management measures. |
format | Online Article Text |
id | pubmed-10316484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103164842023-07-04 Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting Hernawan, Udhi E. van Dijk, Kor‐jent Kendrick, Gary A. Feng, Ming Berry, Oliver Kavazos, Christopher McMahon, Kathryn Ecol Evol Research Articles Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, Thalassia hemprichii, at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme tidal ranges (up to 11 m, the world's largest tropical tides). We incorporated genetic data from a panel of 16 microsatellite markers, overwater distance, oceanographic data derived from predicted passive dispersal on a 2 km‐resolution hydrodynamic model, and habitat characteristics from each meadow sampled. We detected significant spatial genetic structure and asymmetric gene flow, in which meadows 12–14 km apart were less connected than ones 30–50 km apart. This pattern was explained by oceanographic connectivity and differences in habitat characteristics, suggesting a combined scenario of dispersal limitation and facilitation by ocean current with local adaptation. Our findings add to the growing evidence for the key role of seascape attributes in driving spatial patterns of gene flow. Despite the potential for long‐distance dispersal, there was significant genetic structuring over small spatial scales implicating dispersal and recruitment bottlenecks and highlighting the importance of implementing local‐scale conservation and management measures. John Wiley and Sons Inc. 2023-07-03 /pmc/articles/PMC10316484/ /pubmed/37404702 http://dx.doi.org/10.1002/ece3.10257 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Hernawan, Udhi E. van Dijk, Kor‐jent Kendrick, Gary A. Feng, Ming Berry, Oliver Kavazos, Christopher McMahon, Kathryn Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title | Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title_full | Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title_fullStr | Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title_full_unstemmed | Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title_short | Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
title_sort | ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10316484/ https://www.ncbi.nlm.nih.gov/pubmed/37404702 http://dx.doi.org/10.1002/ece3.10257 |
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