Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47909
Título: A set of 13 multiplex PCRs of specific microsatellite markers as a tool for QTL detection in gilthead seabream (Sparus aurata L.)
Autores/as: Negrín-Báez, Davinia
Navarro, Ana
Lee-Montero, Ivonne
Afonso, Juan M. 
Sánchez, Juan J.
Elalfy, Islam S.
Manchado, Manuel
Sánchez, José A.
García-Celdrán, Marta
Zamorano, María J. 
Fecha de publicación: 2015
Editor/a: 1355-557X
Publicación seriada: Aquaculture Research 
Resumen: © 2014 John Wiley & Sons Ltd.The growth and consolidation of the gilthead seabream (Sparus aurata) industry require improvement based on permanent and cumulative aspects, such as those derived from genetic breeding programmes. Marker Assisted Selection (MAS) by Quantitative Trait Loci (QTL) can be usefully implemented with the appropriate tools. In this study, 138 microsatellite markers from the genetic map of gilthead seabream were redesigned to be amplified under the same PCR conditions. A final set of 13 multiplex PCRs (named ReMsa) with 106 of these markers was developed to cover 100% of the linkage groups. These effective multiplex PCRs enable to optimize QTL searching with a critical reduction in costs and errors. Results showed that the mean value of the number of alleles for 106 markers was 6.9. The mean observed heterozygosity ranged from 0.53 to 0.86, and 74.5% of markers were highly informative according to their polymorphic information content. The correct inheritance and segregation of alleles of each locus was confirmed after genotyping 62 individuals of a full-sib family by these multiplex PCRs. In addition, genetic features of the 20 microsatellite markers that worked correctly but were not included in any multiplex PCR are also reported to provide geneticists with the possibility of including them in more comprehensive screening studies.
URI: http://hdl.handle.net/10553/47909
ISSN: 1355-557X
DOI: 10.1111/are.12378
Fuente: Aquaculture Research[ISSN 1355-557X],v. 46, p. 45-58
Colección:Artículos
Vista completa

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.