Evidence map›Paper›PMID 35100394›Full record

ArticleG3 (Bethesda, Md.)2022

Unraveling the complex genetic basis of growth in New Zealand silver trevally (Pseudocaranx georgianus).

Noemie Valenza-Troubat, Sara Montanari, Peter Ritchie, Maren Wellenreuther

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Noemie Valenza-TroubatSeafood Production Group, The New Zealand Institute for Plant & Food Research Ltd, Nelson 7010, New Zealand.ORCID 0000-0003-2479-2009
Sara MontanariSeafood Production Group, The New Zealand Institute for Plant & Food Research Ltd, Nelson 7010, New Zealand.ORCID 0000-0001-9224-056X
Peter RitchieSchool of Biological Sciences, Victoria University of Wellington, Wellington 6140, New Zealand.ORCID 0000-0002-8351-7931
Maren WellenreutherSeafood Production Group, The New Zealand Institute for Plant & Food Research Ltd, Nelson 7010, New Zealand.ORCID 0000-0002-2764-8291
Plant & Food Research · NZVictoria University of Wellington · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth directly influences production rate and therefore is one of the most important and well-studied traits in animal breeding. However, understanding the genetic basis of growth has been hindered by its typically complex polygenic architecture. Here, we performed quantitative trait locus mapping and genome-wide association studies for 10 growth traits that were observed over 2 years in 1,100 F1 captive-bred trevally (Pseudocaranx georgianus). We constructed the first high-density linkage map for trevally, which included 19,861 single nucleotide polymorphism markers, and discovered 8 quantitative trait loci for height, length, and weight on linkage groups 3, 14, and 18. Using genome-wide association studies, we further identified 113 single nucleotide polymorphism-trait associations, uncovering 10 genetic hot spots involved in growth. Two of the markers found in the genome-wide association studies colocated with the quantitative trait loci previously mentioned, demonstrating that combining quantitative trait locus mapping and genome-wide association studies represents a powerful approach for the identification and validation of loci controlling complex traits. This is the first study of its kind for trevally. Our findings provide important insights into the genetic architecture of growth in this species and supply a basis for fine mapping quantitative trait loci, genomic selection, and further detailed functional analysis of the genes underlying growth in trevally.

Indexed as

FishesGenome-Wide Association StudyAnimalsChromosome MappingGenetic LinkageNew ZealandPhenotypePolymorphism, Single NucleotideQuantitative Trait Locigenome-wide association studiesgenomic predictionGenPredlinkage mapQTLselective breedingshared data resource

Identifiers

PMID35100394
PMCPMC8896004
OpenAlexW4220928422

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.