Title |
Meta-population structure in a coral reef fish demonstrated by genetic data on patterns of migration, extinction and re-colonisation
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Published in |
BMC Ecology and Evolution, September 2008
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DOI | 10.1186/1471-2148-8-248 |
Pubmed ID | |
Authors |
Line K Bay, M Julian Caley, Ross H Crozier |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Brazil | 8 | 4% |
United States | 6 | 3% |
Portugal | 3 | 1% |
Australia | 3 | 1% |
South Africa | 2 | <1% |
Uruguay | 1 | <1% |
Kenya | 1 | <1% |
Malaysia | 1 | <1% |
France | 1 | <1% |
Other | 7 | 3% |
Unknown | 191 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 58 | 26% |
Student > Ph. D. Student | 47 | 21% |
Student > Master | 24 | 11% |
Professor > Associate Professor | 16 | 7% |
Student > Bachelor | 16 | 7% |
Other | 41 | 18% |
Unknown | 22 | 10% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 146 | 65% |
Environmental Science | 32 | 14% |
Biochemistry, Genetics and Molecular Biology | 11 | 5% |
Earth and Planetary Sciences | 4 | 2% |
Mathematics | 3 | 1% |
Other | 5 | 2% |
Unknown | 23 | 10% |