Microsatellites reveal genetic homogeneity among outbreak populations of crown-of-thorns starfish (Acanthaster cf. solaris) on Australia's Great Barrier Reef

Harrison, Hugo B., Pratchett, Morgan S., Messmer, Vanessa, Saenz-Agudelo, Pablo, and Berumen, Michael L. (2017) Microsatellites reveal genetic homogeneity among outbreak populations of crown-of-thorns starfish (Acanthaster cf. solaris) on Australia's Great Barrier Reef. Diversity, 9 (1). 16.

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Abstract

Specific patterns in the initiation and spread of reef-wide outbreaks of crown-of-thorns starfish are important, both to understand potential causes (or triggers) of outbreaks and to develop more effective and highly targeted management and containment responses. Using analyses of genetic diversity and structure (based on 17 microsatellite loci), this study attempted to resolve the specific origin for recent outbreaks of crown-of-thorns on Australia's Great Barrier Reef (GBR). We assessed the genetic structure amongst 2705 starfish collected from 13 coral reefs in four regions that spanned -1000 km of the GBR. Our results indicate that populations sampled across the full length of the GBR are genetically homogeneous (G'(ST) = -0.001; p = 0.948) with no apparent genetic structure between regions. Approximate Bayesian computational analyses suggest that all sampled populations had a common origin and that current outbreaking populations of crown-of-thorns starfish (CoTS) in the Swains are not independent of outbreak populations in the northern GBR. Despite hierarchical sampling and large numbers of CoTS genotyped from individual reefs and regions, limited genetic structure meant we were unable to determine a putative source population for the current outbreak of CoTS on the GBR. The very high genetic homogeneity of sampled populations and limited evidence of inbreeding indicate rapid expansion in population size from multiple, undifferentiated latent populations.

Item ID: 56752
Item Type: Article (Research - C1)
ISSN: 1424-2818
Keywords: coral reefs, Great Barrier Reef Marine Park, population genetics, approximate Bayesian computation
Copyright Information: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Funders: Australian Commonwealth Government (ACG), Comisión Nacional de Investigación Científica y Tecnológica - Chile (CONICYT)
Projects and Grants: ACG - Caring for our Country Reef Rescue Research and Development Program, CONICYT programa FONDECYT Grant 11140121
Date Deposited: 02 Jan 2019 07:34
FoR Codes: 06 BIOLOGICAL SCIENCES > 0604 Genetics > 060411 Population, Ecological and Evolutionary Genetics @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960507 Ecosystem Assessment and Management of Marine Environments @ 100%
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