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Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation

BACKGROUND: Management strategies for coral reefs are dependant on information about the spatial population structure and connectivity of reef organisms. Genetic tools can reveal important information about population structure, however, this information is lacking for many reef species. We used a m...

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Autores principales: Bay, Line K, Caley, M Julian, Crozier, Ross H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553088/
https://www.ncbi.nlm.nih.gov/pubmed/18786273
http://dx.doi.org/10.1186/1471-2148-8-248
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author Bay, Line K
Caley, M Julian
Crozier, Ross H
author_facet Bay, Line K
Caley, M Julian
Crozier, Ross H
author_sort Bay, Line K
collection PubMed
description BACKGROUND: Management strategies for coral reefs are dependant on information about the spatial population structure and connectivity of reef organisms. Genetic tools can reveal important information about population structure, however, this information is lacking for many reef species. We used a mitochondrial molecular marker to examine the population genetic structure and the potential for meta-population dynamics in a direct developing coral reef fish using 283 individuals from 15 reefs on the Great Barrier Reef, Australia. We employed a hierarchical sampling design to test genetic models of population structure at multiple geographical scales including among regions, among shelf position and reefs within regions. Predictions from island, isolation-by-distance and meta-population models, including the potential for asymmetric migration, local extinction and patterns of re-colonisation were examined. RESULTS: Acanthochromis polyacanthus displayed strong genetic structure among regions (Φ(ST )= 0.81, P < 0.0001) that supported an equilibrium isolation-by-distance model (r = 0.77, P = 0.001). Significant structuring across the continental shelf was only evident in the northern region (Φ(ST )= 0.31, P < 0.001) and no evidence of isolation-by-distance was found within any region. Pairwise Φ(ST )values indicated overall strong but variable genetic structure (mean Φ(ST )among reefs within regions = 0.28, 0.38, 0.41), and asymmetric migration rates among reefs with low genetic structure. Genetic differentiation among younger reefs was greater than among older reefs supporting a meta-population propagule-pool colonisation model. Variation in genetic diversities, demographic expansion and population growth estimates indicated more frequent genetic bottlenecks/founder effects and subsequent population expansion in the central and southern regions compared to the northern one. CONCLUSION: Our findings provide genetic evidence for meta-population dynamics in a direct developing coral reef fish and we reject the equilibrium island and isolation-by distance models at local spatial scales. Instead, strong non-equilibrium genetic structure appears to be generated by genetic bottlenecks/founder effects associated with population reductions/extinctions and asymmetric migration/(re)-colonisation of such populations. These meta-population dynamics varied across the geographical range examined with edge populations exhibiting lower genetic diversities and higher rates of population expansion than more central populations. Therefore, coral reef species may experience local population reductions/extinctions that promote overall meta-population genetic differentiation.
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spelling pubmed-25530882008-09-25 Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation Bay, Line K Caley, M Julian Crozier, Ross H BMC Evol Biol Research Article BACKGROUND: Management strategies for coral reefs are dependant on information about the spatial population structure and connectivity of reef organisms. Genetic tools can reveal important information about population structure, however, this information is lacking for many reef species. We used a mitochondrial molecular marker to examine the population genetic structure and the potential for meta-population dynamics in a direct developing coral reef fish using 283 individuals from 15 reefs on the Great Barrier Reef, Australia. We employed a hierarchical sampling design to test genetic models of population structure at multiple geographical scales including among regions, among shelf position and reefs within regions. Predictions from island, isolation-by-distance and meta-population models, including the potential for asymmetric migration, local extinction and patterns of re-colonisation were examined. RESULTS: Acanthochromis polyacanthus displayed strong genetic structure among regions (Φ(ST )= 0.81, P < 0.0001) that supported an equilibrium isolation-by-distance model (r = 0.77, P = 0.001). Significant structuring across the continental shelf was only evident in the northern region (Φ(ST )= 0.31, P < 0.001) and no evidence of isolation-by-distance was found within any region. Pairwise Φ(ST )values indicated overall strong but variable genetic structure (mean Φ(ST )among reefs within regions = 0.28, 0.38, 0.41), and asymmetric migration rates among reefs with low genetic structure. Genetic differentiation among younger reefs was greater than among older reefs supporting a meta-population propagule-pool colonisation model. Variation in genetic diversities, demographic expansion and population growth estimates indicated more frequent genetic bottlenecks/founder effects and subsequent population expansion in the central and southern regions compared to the northern one. CONCLUSION: Our findings provide genetic evidence for meta-population dynamics in a direct developing coral reef fish and we reject the equilibrium island and isolation-by distance models at local spatial scales. Instead, strong non-equilibrium genetic structure appears to be generated by genetic bottlenecks/founder effects associated with population reductions/extinctions and asymmetric migration/(re)-colonisation of such populations. These meta-population dynamics varied across the geographical range examined with edge populations exhibiting lower genetic diversities and higher rates of population expansion than more central populations. Therefore, coral reef species may experience local population reductions/extinctions that promote overall meta-population genetic differentiation. BioMed Central 2008-09-12 /pmc/articles/PMC2553088/ /pubmed/18786273 http://dx.doi.org/10.1186/1471-2148-8-248 Text en Copyright ©2008 Bay et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bay, Line K
Caley, M Julian
Crozier, Ross H
Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title_full Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title_fullStr Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title_full_unstemmed Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title_short Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
title_sort meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2553088/
https://www.ncbi.nlm.nih.gov/pubmed/18786273
http://dx.doi.org/10.1186/1471-2148-8-248
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