Evidence map›Paper›PMID 32722873›Full record

ArticleCell proliferation2020

Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next-generation sequencing.

Farhad Bordbar, Just Jensen, Min Du, Adam Abied, Wei Guo, Lingyang Xu, Huijiang Gao, Lupei Zhang, Junya Li

Open access · goldAbstract read
In one paragraph

Article in Cell proliferation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 19 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

9 authors at 4 institutions in 3 countries.

Farhad BordbarKey Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-2081-930X
Just JensenCenter for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
Min DuDepartment of Animal Sciences, Washington Center for Muscle Biology, Washington State University, Pullman, WA, USA.
Adam AbiedAnimal Genetic Breeding and Reproduction, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Wei GuoMeat Science and Muscle Biology, Animal and Diary Science, University of Wisconsin-Madison, Madison, USA.
Lingyang XuKey Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Huijiang GaoKey Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Lupei ZhangKey Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Junya LiKey Laboratory of Animal Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Chinese Academy of Agricultural Sciences · CNAarhus University · DKUniversity of Wisconsin–Madison · USWashington Center · US

Funding

Cattle Breeding Innovative Research Team ASTIPIAS03Cattle Breeding Innovative Research Team ZDXT2018006
6 · The paper itself

Abstract

objectivesGenome-wide association studies (GWAS) represent a powerful approach to detecting candidate genes for economically important traits in livestock. Our aim was to identify promising candidate muscle development genes that affect net meat weight (NMW) and validate these candidate genes in cattle. MATERIALS AND

methodsUsing a next-generation sequencing (NGS) dataset, we applied ~ 12 million imputed single nucleotide polymorphisms (SNPs) from 1,252 Simmental cattle to detect genes influencing net meat yield by way of a linear mixed model method. Haplotype and linkage disequilibrium (LD) blocks were employed to augment support for identified genes. To investigate the role of MTPN in bovine muscle development, we isolated myoblasts from the longissimus dorsi of a bovine foetus and treated the cells during proliferation, differentiation and hypertrophy.

resultsWe identified one SNP (rs100670823) that exceeded our stringent significance threshold (P = 8.58 × 10

conclusionsThe present experiments showed that myotrophin increases differentiation and hypertrophy of skeletal muscle cells, while inhibiting their proliferation. Our examination of GWAS results with in vitro biological studies provides new information regarding the potential application of myotrophin to increase meat yields in cattle and helpful information for further studies.

Indexed as

Polymorphism, Single NucleotideQuantitative Trait LociRed MeatAnimalsCattleCells, CulturedGenome-Wide Association StudyHaplotypesHigh-Throughput Nucleotide SequencingIntercellular Signaling Peptides and ProteinsLinkage DisequilibriumMusclesPhenotypeIntercellular Signaling Peptides and ProteinsmyotrophinDifferentiationGWASNGSNMWProliferation

Identifiers

PMID32722873
PMCPMC7507581
OpenAlexW3046080320

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.