Evidence map›Paper›PMID 33933591›Full record

ArticleGenomics2021

Development and testing of a combined species SNP array for the European seabass (Dicentrarchus labrax) and gilthead seabream (Sparus aurata).

C Peñaloza, T Manousaki, R Franch, A Tsakogiannis, A K Sonesson, M L Aslam, F Allal, L Bargelloni, R D Houston, C S Tsigenopoulos

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
8.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 53 citations in OpenAlex.

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  10. Deep learning for genomic selection of aquatic animals.Marine life science & technology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 5 countries.

C PeñalozaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK.
T ManousakiHellenic Centre for Marine Research, Thalassocosmos Gournes Pediados, 71500 Irakleio, Crete, Greece.
R FranchPadova University, Via Ugo Bassi, 58yB, I-35131 Padova, Italy.
A TsakogiannisHellenic Centre for Marine Research, Thalassocosmos Gournes Pediados, 71500 Irakleio, Crete, Greece.
A K SonessonNofima, Norwegian Institute of Food, Fisheries and Aquaculture Research, PO Box 210, N-1432 Ås, Norway.
M L AslamNofima, Norwegian Institute of Food, Fisheries and Aquaculture Research, PO Box 210, N-1432 Ås, Norway.
F AllalMARBEC, University of Montpellier, Ifremer, CNRS, IRD, 34250 Palavas-les-Flots, France.
L BargelloniPadova University, Via Ugo Bassi, 58yB, I-35131 Padova, Italy.
R D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK. Electronic address: ross.houston@roslin.ed.ac.uk.
C S TsigenopoulosHellenic Centre for Marine Research, Thalassocosmos Gournes Pediados, 71500 Irakleio, Crete, Greece. Electronic address: tsigeno@hcmr.gr.
Hellenic Centre for Marine Research · GRNofima · NOUniversity of Edinburgh · GBUniversity of Padua · ITCentre National de la Recherche Scientifique · FR

Funding

Biotechnology and Biological Sciences Research Council BB/P013740/1Biotechnology and Biological Sciences Research Council BB/P013759/1
6 · The paper itself

Abstract

SNP arrays are powerful tools for high-resolution studies of the genetic basis of complex traits, facilitating both selective breeding and population genomic research. The European seabass (Dicentrarchus labrax) and the gilthead seabream (Sparus aurata) are the two most important fish species for Mediterranean aquaculture. While selective breeding programmes increasingly underpin stock supply for this industry, genomic selection is not yet widespread. Genomic selection has major potential to expedite genetic gain, particularly for traits practically impossible to measure on selection candidates, such as disease resistance and fillet characteristics. The aim of our study was to design a combined-species 60 K SNP array for European seabass and gilthead seabream, and to test its performance on farmed and wild populations from numerous locations throughout the species range. To achieve this, high coverage Illumina whole-genome sequencing of pooled samples was performed for 24 populations of European seabass and 27 populations of gilthead seabream. This resulted in a database of ~20 million SNPs per species, which were then filtered to identify high-quality variants and create the final set for the development of the 'MedFish' SNP array. The array was then tested by genotyping a subset of the discovery populations, highlighting a high conversion rate to functioning polymorphic assays on the array (92% in seabass; 89% in seabream) and repeatability (99.4-99.7%). The platform interrogates ~30 K markers in each species, includes features such as SNPs previously shown to be associated with performance traits, and is enriched for SNPs predicted to have high functional effects on proteins. The array was demonstrated to be effective at detecting population structure across a wide range of fish populations from diverse geographical origins, and to examine the extent of haplotype sharing among Mediterranean farmed fish populations. In conclusion, the new MedFish array enables efficient and accurate high-throughput genotyping for genome-wide distributed SNPs for each fish species, and will facilitate stock management, population genomics approaches, and acceleration of selective breeding through genomic selection.

Indexed as

BassSea BreamAnimalsGenomeSeafoodSelective BreedingAquacultureEuropean seabassgilthead seabreamSNP array

Identifiers

PMID33933591
PMCPMC8276775
OpenAlexW3157151059

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.