Evidence map›Paper›PMID 35399048›Full record

ArticleBMC genomics2022

Identification and characterization of circular RNAs in association with the feed efficiency in Hu lambs.

Deyin Zhang, Xiaoxue Zhang, Fadi Li, Xiaolong Li, Yuan Zhao, Yukun Zhang, Liming Zhao, Dan Xu, Jianghui Wang, Xiaobin Yang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Polymorphisms inFrontiers in veterinary science · 2022
    Article
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

12 authors at 3 institutions in 1 country.

Deyin ZhangState Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Fadi LiState Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.
Xiaolong LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Yuan ZhaoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Yukun ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Liming ZhaoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Dan XuCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Jianghui WangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Xiaobin YangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Panpan CuiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
Weimin WangState Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China. wangwm@gsau.edu.cn.
Gansu Agricultural University · CNInstitute of Grassland Research · CNMinistry of Agriculture and Rural Affairs · CN

Funding

National Natural Science Foundation of China 31760651the National for joint research on improved breeds of livestock and poultry 19200140
6 · The paper itself

Abstract

backgroundCircular RNA (circRNA), as a new members of noncoding RNA family, have vital functions in many biological processes by as microRNA sponges or competing endogenous RNAs (ceRNAs). However, little has been reported about the genetic mechanism of circRNAs regulation of feed efficiency in sheep.

resultsThis study aimed to explore the expression of circRNAs in the liver of Hu sheep with High-RFI (High residual feed intake) and Low-RFI (Low residual feed intake) using transcriptome sequencing. A total of 20,729 circRNAs were identified in two groups, in which 219 circRNAs were found as significantly differentially expressed. Several circRNAs were validated by using RT-PCR, sanger sequencing and RT-qPCR methods. These results demonstrated that the RNA-seq result and expression level of circRNAs identified are reliable. Subsequently, GO and KEGG enrichment analysis of the parental genes of the differentially expressed (DE) circRNAs were mainly involved in immunity response and metabolic process. Finally, the ceRNA regulatory networks analysis showed that the target binding sites for miRNA such as novel_41, novel_115, novel_171 and oar-miR-485-3p in the identified DE cirRNAs. Importantly, two metabolic (SHISA3 and PLEKHH2) and four (RTP4, CD274, OAS1, and RFC3) immune-related target mRNAs were identified from 4 miRNAs. Association analysis showed that the polymorphism (RTP4 c.399 A > G) in the target gene RTP4 were significantly associated with RFI (P < 0.05).

conclusionsAnalysis of sequencing data showed some candidate ceRNAs that may play key roles in the feed efficiency in sheep by regulating animal immune and metabolic. These results provide the basis data for further study of the biological functions of circRNAs in regulating sheep feed efficiency.

Indexed as

MicroRNAsRNA, CircularAnimalsGene Expression ProfilingGene Regulatory NetworksRNA, MessengerRNA-SeqSheepMicroRNAsRNA, CircularRNA, MessengercircRNAHu sheepLiverResidual feed intakesRTP4

Identifiers

PMID35399048
PMCPMC8996647
OpenAlexW4223529146

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.