Evidence map›Paper›PMID 32381004›Full record

ArticleBMC genomics2020

The whole-transcriptome landscape of muscle and adipose tissues reveals the ceRNA regulation network related to intramuscular fat deposition in yak.

Hui Wang, Jincheng Zhong, Chengfu Zhang, Zhixin Chai, Hanwen Cao, Jikun Wang, Jiangjiang Zhu, Jiabo Wang, Qiumei Ji

Open access · goldAbstract readComparative Study
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 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 75 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 2 institutions in 1 country.

Hui WangKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China.
Jincheng ZhongKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China. zhongjincheng518@sina.com.
Chengfu ZhangState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, the Tibet Academy of Agricultural and Animal Husbandry Science , Lhasa, Tibet, 850000, People's Republic of China.
Zhixin ChaiKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China.
Hanwen CaoState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, the Tibet Academy of Agricultural and Animal Husbandry Science , Lhasa, Tibet, 850000, People's Republic of China.
Jikun WangKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China.
Jiangjiang ZhuKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China.
Jiabo WangKey Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Sichuan Province and Ministry of Education, Southwest Minzu University, Chengdu, Sichuan, 610041, People's Republic of China.
Qiumei JiState Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, the Tibet Academy of Agricultural and Animal Husbandry Science , Lhasa, Tibet, 850000, People's Republic of China. qiumei05@126.com.
Southwest Minzu University · CNTibet Academy of Agricultural and Animal Husbandry Sciences · CN

Funding

he National Natural Science Foundation of China 31902153the Program of the National Beef Cattle and Yak Industrial Technology System CARS-37the Sichuan Science and Technology Program 2019YJ0257
6 · The paper itself

Abstract

backgroundThe Intramuscular fat (IMF) content in meat products, which is positively correlated with meat quality, is an important trait considered by consumers. The regulation of IMF deposition is species specific. However, the IMF-deposition-related mRNA and non-coding RNA and their regulatory network in yak (Bos grunniens) remain unknown. High-throughput sequencing technology provides a powerful approach for analyzing the association between transcriptome-related differences and specific traits in animals. Thus, the whole transcriptomes of yak muscle and adipose tissues were screened and analyzed to elucidate the IMF deposition-related genes. The muscle tissues were used for IMF content measurements.

resultsSignificant differences were observed between the 0.5- and 2.5-year-old yaks. Several mRNAs, miRNAs, lncRNAs and circRNAs were generally expressed in both muscle and adipose tissues. Between the 0.5- and 2.5-year-old yaks, 149 mRNAs, 62 miRNAs, 4 lncRNAs, and 223 circRNAs were differentially expressed in muscle tissue, and 72 mRNAs, 15 miRNAs, 9 lncRNAs, and 211 circRNAs were differentially expressed in adipose tissue. KEGG annotation revelved that these differentially expressed genes were related to pathways that maintain normal biological functions of muscle and adipose tissues. Moreover, 16 mRNAs, 5 miRNAs, 3 lncRNAs, and 5 circRNAs were co-differentially expressed in both types of tissue. We suspected that these co-differentially expressed genes were involved in IMF-deposition in the yak. Additionally, LPL, ACADL, SCD, and FASN, which were previously shown to be associated with the IMF content, were identified in the competing endogenous RNA (ceRNA) regulatory network that was constructed on the basis of the IMF deposition-related genes. Three ceRNA subnetworks also revealed that TCONS-00016416 and its target SIRT1 "talk" to each other through the same miR-381-y and miR-208 response elements, whereas TCONS-00061798 and its target PRKCA, and TCONS-00084092 and its target LPL "talk" to each other through miR-122-x and miR-499-y response elements, respectively.

conclusionTaken together, our results reveal the potential mRNA and noncoding RNAs involved in IMF deposition in the yak, providing a useful resource for further research on IMF deposition in this animal species.

Indexed as

Gene Regulatory NetworksAdipose TissueAnimalsCattleGene Expression Regulation, DevelopmentalLipid MetabolismLipogenesisMeatMusclesRNA, MessengerRNA, UntranslatedTranscriptomeRNA, MessengerRNA, UntranslatedBos grunniensceRNACo-differentially expressed transcriptsIntramuscular fat contentTranscriptome

Identifiers

PMID32381004
PMCPMC7203869
OpenAlexW3021550676

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LicenceCC BY
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Registered trials

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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.