Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52581
Título: Quantitative trait loci for a neurocranium deformity, lack of operculum, in gilthead seabream (Sparus aurata L.)
Autores/as: Negrín-Báez, Davinia
Navarro Ferreira, Ana
Afonso, J. M. 
Toro, M. A.
Zamorano, M. J. 
Clasificación UNESCO: 3109 Ciencias veterinarias
310907 Patología
Palabras clave: Linear regression
Microsatellite
Opercular complex
Quantitative trait loci
Fecha de publicación: 2016
Publicación seriada: Animal Genetics 
Resumen: Lack of operculum, a neurocranial deformity, is the most common external abnormality to be found among industrially produced gilthead seabream (Sparus aurata L.), and this entails significant financial losses. This study conducts, for the first time in this species, a quantitative trait loci (QTL) analysis of the lack of operculum. A total of 142 individuals from a paternal half-sibling family (six full-sibling families) were selected for QTL mapping. They had previously shown a highly significant association with the prevalence of lack of operculum in a segregation analysis. All the fish were genotyped for 106 microsatellite markers using a set of multiplex PCRs (ReMsa1-ReMsa13). A linear regression methodology was used for the QTL analysis. Four QTL were detected for this deformity, two of which (QTLOP1 and QTLOP2) were significant. They were located at LG (linkage group) nine and LG10 respectively. Both QTL showed a large effect (about 27%), and furthermore, the association between lack of operculum and sire allelic segregation observed was statistically significant in the QTLOP1 analysis. These results represent a significant step towards including marker-assisted selection for this deformity in genetic breeding programmes to reduce the incidence of the deformity in the species.
URI: http://hdl.handle.net/10553/52581
ISSN: 0268-9146
DOI: 10.1111/age.12397
Fuente: Animal Genetics[ISSN 0268-9146],v. 47, p. 230-233
Colección:Artículos
Vista completa

Citas SCOPUSTM   

3
actualizado el 17-nov-2024

Citas de WEB OF SCIENCETM
Citations

3
actualizado el 17-nov-2024

Visitas

38
actualizado el 17-feb-2024

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.