Evidence map›Paper›PMID 24524230›Full record

ArticleBMC genomics2014

Development and validation of a high density SNP genotyping array for Atlantic salmon (Salmo salar).

Ross D Houston, John B Taggart, Timothé Cézard, Michaël Bekaert, Natalie R Lowe, Alison Downing, Richard Talbot, Stephen C Bishop, Alan L Archibald, James E Bron and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed
19.1field-weighted citation impact, top 1% 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

102 citing papers in PubMed, 248 citations in OpenAlex.

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42 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 1 country.

Ross D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian EH25 9RG, UK. ross.houston@roslin.ed.ac.uk.
John B Taggart
Timothé Cézard
Michaël Bekaert
Natalie R Lowe
Alison Downing
Richard Talbot
Stephen C Bishop
Alan L Archibald
James E Bron
David J Penman
Alessandro Davassi
Fiona Brew
Alan E Tinch
Karim Gharbi
Alastair Hamilton
University of Edinburgh · GBUniversity of Stirling · GBRoslin Institute · GBLandcatch (United Kingdom) · GBEdinburgh Genomics · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F001959/1Biotechnology and Biological Sciences Research Council BB/F002750/1Biotechnology and Biological Sciences Research Council BB/H022007/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211550
6 · The paper itself

Abstract

backgroundDense single nucleotide polymorphism (SNP) genotyping arrays provide extensive information on polymorphic variation across the genome of species of interest. Such information can be used in studies of the genetic architecture of quantitative traits and to improve the accuracy of selection in breeding programs. In Atlantic salmon (Salmo salar), these goals are currently hampered by the lack of a high-density SNP genotyping platform. Therefore, the aim of the study was to develop and test a dense Atlantic salmon SNP array.

resultsSNP discovery was performed using extensive deep sequencing of Reduced Representation (RR-Seq), Restriction site-Associated DNA (RAD-Seq) and mRNA (RNA-Seq) libraries derived from farmed and wild Atlantic salmon samples (n = 283) resulting in the discovery of > 400 K putative SNPs. An Affymetrix Axiom® myDesign Custom Array was created and tested on samples of animals of wild and farmed origin (n = 96) revealing a total of 132,033 polymorphic SNPs with high call rate, good cluster separation on the array and stable Mendelian inheritance in our sample. At least 38% of these SNPs are from transcribed genomic regions and therefore more likely to include functional variants. Linkage analysis utilising the lack of male recombination in salmonids allowed the mapping of 40,214 SNPs distributed across all 29 pairs of chromosomes, highlighting the extensive genome-wide coverage of the SNPs. An identity-by-state clustering analysis revealed that the array can clearly distinguish between fish of different origins, within and between farmed and wild populations. Finally, Y-chromosome-specific probes included on the array provide an accurate molecular genetic test for sex.

conclusionsThis manuscript describes the first high-density SNP genotyping array for Atlantic salmon. This array will be publicly available and is likely to be used as a platform for high-resolution genetics research into traits of evolutionary and economic importance in salmonids and in aquaculture breeding programs via genomic selection.

Indexed as

GenomePolymorphism, Single NucleotideAllelesAnimalsCluster AnalysisContig MappingGene FrequencyGene LibraryGenetic LinkageGenotypeHaploidyHigh-Throughput Nucleotide SequencingMaleSalmo salar

Identifiers

PMID24524230
PMCPMC3923896
OpenAlexW2139682693

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.