Validation of microsatellite multiplexes for parentage analysis in a coral reef fish (Lutjanus carponotatus, Lutjanidae)

Harrison, Hugo B., Feldheim, Kevin A., Jones, Geoffrey P., Mansour, Hicham, Perumal, Sadhasivam, Williamson, David H., and Berumen, Michael L. (2014) Validation of microsatellite multiplexes for parentage analysis in a coral reef fish (Lutjanus carponotatus, Lutjanidae). Conservation Genetics Resources, 6 (4). pp. 803-806.

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Abstract

Parentage analysis is an important tool for identifying connectivity patterns in coral reef fishes, but often requires numerous highly polymorphic markers. We isolated 21 polymorphic microsatellite markers from the stripey snapper, Lutjanus carponotatus and describe their integration into three multiplex PCRs. All markers were highly polymorphic with a mean of 24.9 ± 1.8 SE alleles per locus and an average observed heterozygosity of 0.797 ± 0.038 SE across 285 genotyped individuals. Using a simulated dataset, we conclude that the complete marker set provides sufficient resolution to resolve parent–offspring relationships in natural populations with 99.6 ± 0.1 % accuracy in parentage assignments. This multiplex assay provides an effective means of investigating larval dispersal and population connectivity in this fishery-targeted coral reef fish species and informing the design of marine protected area networks for biodiversity conservation and fisheries management.

Item ID: 34560
Item Type: Article (Refereed Research - C1)
Keywords: microsatellite multiplex, parentage analysis, dispersal, coral reef fish, Lutjanus carponotatus
ISSN: 1877-7260
Funders: KAUST Red Sea Research Center, National Environmental Research Program (NERP), ARC Centre of Excellence for Coral Reef Studies
Projects and Grants: KAUST CRG-1-2012-BER-002, KAUST OCRF-SPCF-2011-BER-001, NERP project 8.3
Date Deposited: 14 Aug 2014 05:18
FoR Codes: 06 BIOLOGICAL SCIENCES > 0604 Genetics > 060411 Population, Ecological and Evolutionary Genetics @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970105 Expanding Knowledge in the Environmental Sciences @ 100%
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