Evidence map›Paper›PMID 34099805›Full record

ArticleScientific reports2021

Transcriptome profiling analysis of muscle tissue reveals potential candidate genes affecting water holding capacity in Chinese Simmental beef cattle.

Lili Du, Tianpeng Chang, Bingxing An, Mang Liang, Xinghai Duan, Wentao Cai, Bo Zhu, Xue Gao, Yan Chen, Lingyang Xu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 20 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

13 authors at 1 institution in 1 country.

Lili Du *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Tianpeng Chang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Bingxing AnInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Mang LiangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xinghai DuanInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Wentao CaiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Bo ZhuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xue GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yan ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. lijunya@caas.cn.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China. gaohuijiang@caas.cn.
Chinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water holding capacity (WHC) is an important sensory attribute that greatly influences meat quality. However, the molecular mechanism that regulates the beef WHC remains to be elucidated. In this study, the longissimus dorsi (LD) muscles of 49 Chinese Simmental beef cattle were measured for meat quality traits and subjected to RNA sequencing. WHC had significant correlation with 35 kg water loss (r = - 0.99, p < 0.01) and IMF content (r = 0.31, p < 0.05), but not with SF (r = - 0.20, p = 0.18) and pH (r = 0.11, p = 0.44). Eight individuals with the highest WHC (H-WHC) and the lowest WHC (L-WHC) were selected for transcriptome analysis. A total of 865 genes were identified as differentially expressed genes (DEGs) between two groups, of which 633 genes were up-regulated and 232 genes were down-regulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment revealed that DEGs were significantly enriched in 15 GO terms and 96 pathways. Additionally, based on protein-protein interaction (PPI) network, animal QTL database (QTLdb), and relevant literature, the study not only confirmed seven genes (HSPA12A, HSPA13, PPARγ, MYL2, MYPN, TPI, and ATP2A1) influenced WHC in accordance with previous studies, but also identified ATP2B4, ACTN1, ITGAV, TGFBR1, THBS1, and TEK as the most promising novel candidate genes affecting the WHC. These findings could offer important insight for exploring the molecular mechanism underlying the WHC trait and facilitate the improvement of beef quality.

Indexed as

AnimalsCattleChinaGene Expression ProfilingGene OntologyGene Regulatory NetworksMeatMuscle, SkeletalPhenotypeProtein Interaction MapsRed MeatSequence Analysis, RNASignal TransductionWaterWater

Identifiers

PMID34099805
PMCPMC8184995
OpenAlexW3133600695

What Socratic holds

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LicenceCC BY
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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.