Literature DB >> 23574152

Development of the first standardised panel of two new microsatellite multiplex PCRs for gilthead seabream (Sparus aurata L.).

I Lee-Montero1, A Navarro, Y Borrell, M García-Celdrán, N Martín, D Negrín-Báez, G Blanco, E Armero, C Berbel, M J Zamorano, J J Sánchez, A Estévez, G Ramis, M Manchado, J M Afonso.   

Abstract

The high number of multiplex PCRs developed for gilthead seabream (Sparus aurata L.) from many different microsatellite markers does not allow comparison among populations. This highlights the need for developing a reproducible panel of markers, which can be used with safety and reliability by all users. In this study, the first standardised panel of two new microsatellite multiplex PCRs was developed for this species. Primers of 138 specific microsatellites from the genetic linkage map were redesigned and evaluated according to their genetic variability, allele size range and genotyping reliability. A protocol to identify and classify genotyping errors or potential errors was proposed to assess the reliability of each marker. Two new multiplex PCRs from the best assessed markers were designed with 11 markers in each, named SMsa1 and SMsa2 (SuperMultiplex Sparus aurata). Three broodstocks (59, 47 and 98 breeders) from different Spanish companies, and a sample of 80 offspring from each one, were analysed to validate the usefulness of these multiplexes in the parental assignation. It was possible to assign each offspring to a single parent pair (100% success) using the exclusion method with SMsa1 and/or SMsa2. In each genotyped a reference sample (Ref-sa) was used, and its DNA is available on request similar to the kits of bin set to genotype by genemapper (v.3.7) software (kit-SMsa1 and kit-SMsa2). This will be a robust and effective tool for pedigree analysis or characterisation of populations and will be proposed as an international panel for this species.
© 2013 The Authors, Animal Genetics © 2013 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  aquaculture; genotyping reliability; international panel; parentage assignment; stock structure

Mesh:

Year:  2013        PMID: 23574152     DOI: 10.1111/age.12037

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  5 in total

1.  Identification of Quantitative Trait Loci Associated with the Skeletal Deformity LSK complex in Gilthead Seabream (Sparus aurata L.).

Authors:  Davinia Negrín-Báez; Davinia Negrín-Báez; Silvia T Rodríguez-Ramilo; Juan M Afonso; María J Zamorano
Journal:  Mar Biotechnol (NY)       Date:  2016-02       Impact factor: 3.619

2.  Development of whole-genome multiplex assays and construction of an integrated genetic map using SSR markers in Senegalese sole.

Authors:  Israel Guerrero-Cózar; Cathaysa Perez-Garcia; Hicham Benzekri; J J Sánchez; Pedro Seoane; Fernando Cruz; Marta Gut; Maria Jesus Zamorano; M Gonzalo Claros; Manuel Manchado
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

3.  Co-expression Analysis of Sirtuins and Related Metabolic Biomarkers in Juveniles of Gilthead Sea Bream (Sparus aurata) With Differences in Growth Performance.

Authors:  Paula Simó-Mirabet; Erick Perera; Josep A Calduch-Giner; Juan M Afonso; Jaume Pérez-Sánchez
Journal:  Front Physiol       Date:  2018-06-05       Impact factor: 4.566

4.  Spatial connectivity pattern of expanding gilthead seabream populations and its interactions with aquaculture sites: a combined population genetic and physical modelling approach.

Authors:  Iva Žužul; Tanja Šegvić-Bubić; Igor Talijančić; Tomislav Džoić; Ivana Lepen Pleić; Gordana Beg Paklar; Stjepan Ivatek-Šahdan; Ivan Katavić; Leon Grubišić
Journal:  Sci Rep       Date:  2019-10-11       Impact factor: 4.379

5.  Reproductive performance of gilthead seabream (Sparus aurata) broodstock showing different expression of fatty acyl desaturase 2 and fed two dietary fatty acid profiles.

Authors:  Shajahan Ferosekhan; Hanlin Xu; Serhat Turkmen; Ana Gómez; Juan Manuel Afonso; Ramon Fontanillas; Grethe Rosenlund; Sadasivam Kaushik; Marisol Izquierdo
Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

  5 in total

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