Evidence map›Paper›PMID 32736521›Full record

ArticleBMC genomics2020

Genome-wide scan for common variants associated with intramuscular fat and moisture content in rainbow trout.

Ali Ali, Rafet Al-Tobasei, Daniela Lourenco, Tim Leeds, Brett Kenney, Mohamed Salem

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Genome-Wide Association Study SuggestsCurrent issues in molecular biology · 2026
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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

6 authors at 5 institutions in 1 country.

Ali AliDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
Rafet Al-TobaseiComputational Science Program, Middle Tennessee State University, Murfreesboro, TN, 37132, USA.
Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA.
Tim LeedsNational Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, USA.
Brett KenneyDivision of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV, 26506, USA.
Mohamed SalemDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA. mosalem@umd.edu.ORCID http://orcid.org/0000-0003-2142-6716
University of Maryland, College Park · USMiddle Tennessee State University · USUnited States Department of Agriculture · USUniversity of Georgia · USWest Virginia University · US

Funding

Agricultural Research Service 1930-31000-010National Institute of Food and Agriculture 2014-67015-21602
6 · The paper itself

Abstract

backgroundGenetic improvement of fillet quality attributes is a priority of the aquaculture industry. Muscle composition impacts quality attributes such as flavor, appearance, texture, and juiciness. Fat and moisture make up about ~ 80% of the tissue weight. The genetic architecture underlying the fat and moisture content of the muscle is still to be fully explored in fish. A 50 K gene transcribed SNP chip was used for genotyping 789 fish with available phenotypic data for fat and moisture content. Genotyped fish were obtained from two consecutive generations produced in the National Center for Cool and Cold Water Aquaculture (NCCCWA) growth-selective breeding program. Estimates of SNP effects from weighted single-step GBLUP (WssGBLUP) were used to perform genome-wide association (GWA) analysis to identify quantitative trait loci (QTL) associated with the studied traits.

resultsUsing genomic sliding windows of 50 adjacent SNPs, 137 and 178 SNPs were identified as associated with fat and moisture content, respectively. Chromosomes 19 and 29 harbored the highest number of SNPs explaining at least 2% of the genetic variation in fat and moisture content. A total of 61 common SNPs on chromosomes 19 and 29 affected the aforementioned traits; this association suggests common mechanisms underlying intramuscular fat and moisture content. Additionally, based on single-marker GWA analyses, 8 and 24 SNPs were identified in association with fat and moisture content, respectively.

conclusionSNP-harboring genes were primarily involved in lipid metabolism, cytoskeleton remodeling, and protein turnover. This work provides putative SNP markers that could be prioritized and used for genomic selection in breeding programs.

Indexed as

Oncorhynchus mykissAdipose TissueAnimalsGenome-Wide Association StudyGenotypeMusclesPolymorphism, Single NucleotideQuantitative Trait LociFat contentGWASMoistureQTLSingle-step

Identifiers

PMID32736521
PMCPMC7393730
OpenAlexW3046428208

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.