Applying microsatellites to the management of farmed turbot stocks (Scophthalmus maximus L.) in hatcheries

Borrell, Yaisel J.; Alvarez, Jorge; Vázquez, Esther; Pato, Carlos Fernández; Tapia, Concha Martínez; Sánchez, José A.; Blanco, Gloria

doi:10.1016/j.aquaculture.2004.08.021

Cited by 40 publications

(29 citation statements)

References 24 publications

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“…Values range from −1 to +1, high coefficients translating into high relatedness between mating pair under consideration. This coefficient has already proved to be a reliable tool to discriminate relatives from unrelated individuals for turbot Psetta maxima (L.) (Borrell et al , 2004) and for both S. alpinus strains under study (Ditlecadet et al , 2006).…”

Section: Methodsmentioning

confidence: 99%

Digestive capacities, inbreeding and growth capacities in juvenile Arctic charr Salvelinus alpinus

Ditlecadet

Blier

François

et al. 2009

Journal of Fish Biology

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Genetic variation in growth performance was estimated in 26 families from two commercial strains of Arctic charr Salvelinus alpinus. Physiological determinants of growth and metabolic capacities were also assessed through enzymatic assays. A relatedness coefficient was attributed to each family using parental genotypes at seven microsatellite loci. After 15 months of growth, faster growing families had significantly lower relatedness coefficients than slower growing families, suggesting their value as indicators of growth potential. Individual fish that exhibited higher trypsin activity also displayed higher growth rate, suggesting that superior protein digestion capacities can be highly advantageous at early stages. Capacities to use amino acids as expressed by glutamate dehydrogenase (GDH) activities were lower in the liver of fast-growing fish (13-20%), whereas white muscle of fast-growing fish showed higher activities than that of slow-growing fish for amino acid metabolism and aerobic capacity [22-32% increase for citrate synthase (CS), aspartate aminotransferase (AAT) and GDH]. The generally higher glycolytic capacities (PK and LDH) in white muscle of fast-growing fish indicated higher burst swimming capacities and hence better access to food.

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Section: Methodsmentioning

confidence: 99%

Digestive capacities, inbreeding and growth capacities in juvenile Arctic charr Salvelinus alpinus

Ditlecadet

Blier

François

et al. 2009

Journal of Fish Biology

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“…This prevents knowing the fish genealogy (breeders and descendents), which is imperative to estimate genetic parameters. However, genotyping methods always have associated risks for errors, which must be taken into account in the reliability of the results (Taberlet et al 1996;Borrell et al 2004;Hoffman & Amos 2005;. Thus, to promote genetic selection schemes in industry, it is very important to devise a standardised system to correctly assign familial relationships.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2013

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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.

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“…However, high frequencies of null alleles are commonly observed in bivalves , and fish (Castro et al 2004(Castro et al , 2006 which can lead to difficulties and bias in such analyses. Parentage assignment and relatedness studies have been made using microsatellite markers in several species, on an experimental level involving a limited number of genitors in molluscs (Boudry et al 2002, Taris et al 2006, Li and Kijima 2006, McAvoy et al 2008, seabream (Castro et al 2007), Atlantic salmon (Norris et al 2000), Atlantic cod (Herlin et al 2007(Herlin et al , 2008, rainbow trout (Mcdonald et al 2004), turbot (Borrell et al 2004) and sole (Porta et al 2006). However, the suitability of such approaches for mixed-family breeding programs has not been yet demonstrated, despite the large number of markers already available (Li et al 2003a).…”

Section: Genomic Approaches In Breeding and Reproductionmentioning

confidence: 98%

Genomic Approaches in Aquaculture and Fisheries

Cancela

Bargelloni

Boudry

et al. 2010

Introduction to Marine Genomics

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Despite the enormous input into the worldwide development of fish and shellfish farming in the recent decades, in part as an attempt to minimize the impact of fishing on already overexploited natural populations, the application of genomics to aquaculture and fisheries remains poorly developed. Improving state-of-the-art genomics research in various aquaculture systems, as well as its industrial applications, remains one of the major challenges in this area and should be the focus of well developed strategies to be implemented in the next generation of projects. This chapter will first provide an overview of the genomic tools and resources available, then discuss the application of genomic approaches to the improvement of fish and shellfish farming (e.g. breeding, reproduction, growth, nutrition and product quality), including the evaluation of stock diversity and the use of selection procedures. The chapter will also discuss the use of genomic approaches to study and monitor natural fish and shellfish populations and to understand interactions within their ecosystems.

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Applying microsatellites to the management of farmed turbot stocks (Scophthalmus maximus L.) in hatcheries

Cited by 40 publications

References 24 publications

Digestive capacities, inbreeding and growth capacities in juvenile Arctic charr Salvelinus alpinus

Digestive capacities, inbreeding and growth capacities in juvenile Arctic charr Salvelinus alpinus

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

Genomic Approaches in Aquaculture and Fisheries

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