Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hernawan, Udhi E., van Dijk, Kor‐jent, Kendrick, Gary A., Feng, Ming, Berry, Oliver, Kavazos, Christopher, McMahon, Kathryn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
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
_version_ 1785067720652357632
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
work_keys_str_mv AT hernawanudhie oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT vandijkkorjent oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT kendrickgarya oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT fengming oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT berryoliver oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT kavazoschristopher oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting
AT mcmahonkathryn oceanconnectivityandhabitatcharacteristicspredictpopulationgeneticstructureofseagrassinanextremetropicalsetting