Evidence map›Paper›PMID 34675965›Full record

ArticleFrontiers in genetics2021

Characterization and Duodenal Transcriptome Analysis of Chinese Beef Cattle With Divergent Feed Efficiency Using RNA-Seq.

Chaoyun Yang, Liyun Han, Peng Li, Yanling Ding, Yun Zhu, Zengwen Huang, Xingang Dan, Yuangang Shi, Xiaolong Kang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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
6.2field-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

13 citing papers in PubMed, 28 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.

Chaoyun YangSchool of Agriculture, Ningxia University, Yinchuan, China.
Liyun HanNingxia Agriculture Reclamation Helanshan Diary Co.Ltd., Yinchuan, China.
Peng LiSchool of Agriculture, Ningxia University, Yinchuan, China.
Yanling DingSchool of Agriculture, Ningxia University, Yinchuan, China.
Yun ZhuSchool of Agriculture, Ningxia University, Yinchuan, China.
Zengwen HuangSchool of Agriculture, Ningxia University, Yinchuan, China.
Xingang DanSchool of Agriculture, Ningxia University, Yinchuan, China.
Yuangang ShiSchool of Agriculture, Ningxia University, Yinchuan, China.
Xiaolong KangSchool of Agriculture, Ningxia University, Yinchuan, China.
Ningxia University · CNNingxia Academy of Agriculture and Forestry Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual feed intake (RFI) is an important measure of feed efficiency for agricultural animals. Factors associated with cattle RFI include physiology, dietary factors, and the environment. However, a precise genetic mechanism underlying cattle RFI variations in duodenal tissue is currently unavailable. The present study aimed to identify the key genes and functional pathways contributing to variance in cattle RFI phenotypes using RNA sequencing (RNA-seq). Six bulls with extremely high or low RFIs were selected for detecting differentially expressed genes (DEGs) by RNA-seq, followed by conducting GO, KEGG enrichment, protein-protein interaction (PPI), and co-expression network (WGCNA,

Indexed as

beef cattleduodenalfeed efficiencyresidual feed intakeweighted gene co-expression network analysis

Identifiers

PMID34675965
PMCPMC8524388
OpenAlexW3202801046

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.