Exploitation of a turbot (Scophthalmus maximus L.) immune-related expressed sequence tag (EST) database for microsatellite screening and validation

In this study, we identified and characterized 160 microsatellite loci from an expressed sequence tag (EST) database generated from immune‐related organs of turbot (Scophthalmus maximus). A final set of 83 new polymorphic microsatellites were validated after the analysis of 40 individuals of Atlanti...

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Veröffentlicht in:Molecular ecology resources 2012-07, Vol.12 (4), p.706-716
Hauptverfasser: NAVAJAS-PÉREZ, R., ROBLES, F., MOLINA-LUZÓN, M. J., De La HERRÁN, R., ÁLVAREZ-DIOS, J. A., PARDO, B. G., VERA, M., BOUZA, C., MARTÍNEZ, P.
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Sprache:eng
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Zusammenfassung:In this study, we identified and characterized 160 microsatellite loci from an expressed sequence tag (EST) database generated from immune‐related organs of turbot (Scophthalmus maximus). A final set of 83 new polymorphic microsatellites were validated after the analysis of 40 individuals of Atlantic origin including both wild and farmed individuals. The allele number and the expected heterozygosity ranged from 2 to 18 and from 0.021 to 0.951, respectively. Evidences of null alleles at moderate–high frequencies were detected at six loci using population data. None of the analysed loci showed deviations from Mendelian segregation after the analysis of five full‐sib families including approximately 92 individuals/family. The markers are used to consolidate the turbot genetic map, and because they are mostly EST‐derived, they will be very useful for comparative genomic studies within flatfishes and with model fish species. Using an in silico approach, we detected significant homologies of microsatellite sequences with the EST databases of the flatfish species with highest genomic resources (Senegalese sole, Atlantic halibut, bastard halibut) in 31% of these turbot markers. The conservation of these microsatellites within Pleuronectiformes will pave the way for anchoring genetic maps of different species and identifying genomic regions related to productive traits.
ISSN:1755-098X
1755-0998
DOI:10.1111/j.1755-0998.2012.03126.x