Conservation Genetics Resources

, Volume 2, Supplement 1, pp 385–387

Characterization of nine novel microsatellites isolated from Mozambique tilapia, Oreochromis mossambicus

Technical Note


Nine polymorphic microsatellites were isolated from a genomic DNA library of Oreochromis mossambicus enriched with di- and tetranucleotide repeats. The three di- and six tetranucleotide-type markers were characterized in 40 Mozambique tilapia individuals collected from a local farm. The number of alleles at the nine microsatellite loci ranged from 3 to 31, with an average of 13.4/locus. The average expected heterozygosity was 0.79 (range: 0.65–0.94), whereas the average observed heterozygosity was 0.67 (range: 0.33–1). Three loci significantly deviated from Hardy–Weinberg equilibrium, presumably due to limited population size. Cross-species amplification was successful for seven markers in Oreochromis niloticus, a phylogenetically closely related species and for six markers in Pseudotropheus lombardi, an ornamental cichlid for which no microsatellites have been described to date. These markers could provide important tools for the determination of genetic diversity and population structure of O. mossambicus.


Polymorphic Heterozygosity Cross-species amplification 


  1. Agnese JF, Adepo-Gourene B, Owino J, Pouyaud L, Aman R (1997) Genetic characterization of a pure relict population of Oreochromis esculentus, an endangered tilapia. J Fish Biol 54:1119–1123Google Scholar
  2. Canonico G, Arthington A, McCrary J, Thieme M (2005) The effects of introduced tilapias on native biodiversity. Aquat Conserv Mar Freshw Ecosyst 15:463–483CrossRefGoogle Scholar
  3. D’Amato ME, Esterhuyse MM, van der Waal BCW, Brink D, Volckaert FAM (2007) Hybridization and phylogeography of the Mozambique tilapia Oreochromis niloticus in southern Africa evidenced by mitochondrial and microsatellite DNA genotyping. Conserv Genet 8:475–488CrossRefGoogle Scholar
  4. Gupta M, Acosta B (2004) A review of global tilapia farming practices. Aquacult Asia IX:7–12Google Scholar
  5. Kalinowski ST, Taper ML, Marshall TC (2007) Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol Ecol 16:1099–1106. doi:10.1111/j.1365-294x.2007.03089.x CrossRefPubMedGoogle Scholar
  6. Lewis PO, Zaykin D (2001) Genetic data analysis: computer program for the analysis of allelic data. Version 1.0 (d16c). Free program distributed by the authors over the internet from
  7. Schwarzer J, Misof B, Tautz D, Schliewen UK (2009) The root of the East African cichlid radiations. BMC Evol Biol 9:186CrossRefPubMedGoogle Scholar
  8. Seehausen O (2006) African cichlid fish: a model system in adaptive radiation research. Proc Royal Soc B Biol Sci 273:1987–1998CrossRefGoogle Scholar
  9. Yue GH, Chen F, Orban L (2000) Rapid isolation and characterization of microsatellites from the genome of Asian arowana (Scleropages formosus, Osteoglossidae, Pisces). Mol Ecol 9:1007–1009CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Reproductive Genomics, Strategic Research ProgramTemasek Life Sciences LaboratorySingaporeSingapore
  2. 2.GenoMar AsAOsloNorway
  3. 3.Department of Biological SciencesNational University of SingaporeSingaporeSingapore

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