Development and characterisation of tri- and tetra-nucleotide polymorphic microsatellite markers for skipjack tuna (Katsuwonus pelamis)


Autoria(s): Dammannagoda Acharige, Sudath Terrence; Chand, Vincent; Mather, Peter Barclay
Data(s)

01/08/2012

Resumo

Skipjack tuna (katsuwonus pelamis) (SJT) is the largest tuna fishery in all the major oceans around the world, and the largest marine fishery in Sri Lanka. Knowledge of genetic population structure and effective population size of SJT in the Indian Ocean and other major oceans, however, is still lacking for better management practices and conservation strategies. We developed microsatellite genetic markers using SJT around Sri Lanka in the Indian Ocean, and characterise one tri- and seven tetra-nucleotide microsatellite loci isolated from enriched genomic libraries from SJT, to provide tools for addressing both conservation and fisheries management questions. An analysis of these eight microsatellite markers in two populations of SJT from eastern Sri Lanka (n = 44) and the Maldives Islands (n = 53) showed that all eight microsatellites were polymorphic with an average number of alleles per locus of 11.80 (range 5-27). Expected heterozygosities at marker loci ranged from 0.450 to 0.961. These markers are being used currently to characterise population structure and extent of natural gene flow in SJT populations from the eastern and western Indian Ocean. No significant linkage disequilibrium was detected among any loci pairs.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/52939/

Publicador

University of Peradeniya, Sri Lanka

Relação

http://eprints.qut.edu.au/52939/2/52939.pdf

DOI:10.4038/cjsbs.v41i1.4533

Dammannagoda Acharige, Sudath Terrence, Chand, Vincent, & Mather, Peter Barclay (2012) Development and characterisation of tri- and tetra-nucleotide polymorphic microsatellite markers for skipjack tuna (Katsuwonus pelamis). Ceylon Journal of Science (Bio. Sci), 41(1), pp. 11-17.

Direitos

Copyright 2012 The Authors

Fonte

Biogeoscience; Science & Engineering Faculty

Palavras-Chave #060000 BIOLOGICAL SCIENCES #genetic diversity; #population structure; #Sri Lanka; #Indian Ocean
Tipo

Journal Article