Evidence map›Paper›PMID 39301708›Full record

ArticleAnimal biotechnology2024

Gene co-expression network and differential expression analyses reveal key genes for weaning weight in Simmental-Holstein crossbred cattle.

Saina Yan, Fen Pei, Jingfnag Si, Md Yousuf Ali Khan, Sihai Ou, Yang Yang, Zongsheng Zhao, Alfredo Pauciullo, Yi Zhang

Abstract read
In one paragraph

Article in Animal biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Review
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.

Saina YanCollege of Animal Science and Technology, China Agricultural University, Beijing, China.
Fen PeiCollege of Animal Science and Technology, China Agricultural University, Beijing, China.
Jingfnag SiCollege of Animal Science and Technology, China Agricultural University, Beijing, China.
Md Yousuf Ali KhanCollege of Animal Science and Technology, China Agricultural University, Beijing, China.
Sihai OuAnimal Husbandry and Veterinary Station of the 8th Division, Shihezi City, Xinjiang Production and Construction Corps, Shihezi, China.
Yang YangAnimal Husbandry and Veterinary Station of the 8th Division, Shihezi City, Xinjiang Production and Construction Corps, Shihezi, China.
Zongsheng ZhaoCollege of Animal Science and Technology, Shihezi University, Shihezi, China.
Alfredo PauciulloDepartment of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, TO, Italy.
Yi ZhangCollege of Animal Science and Technology, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Weaning weight is a key indicator of the early growth performance of cattle. An understanding of the genetic mechanisms underlying weaning weight will help increase the accuracy of selection of breeding animals. In order to identify candidate genes associated with weaning weight in Simmental-Holstein crossbred cattle, this study generated RNA-Sequencing (RNA-seq) data from 86 crossbred calves (37 males and 49 famales) and measured their weaning weight and body size traits (wither height, body length, chest girth, rump width, and rump length). Differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) were performed. A total of 498 differentially expressed genes (DEGs) were identified between the low weaning weight (LWW) group and the high weaning weight (HWW) group. Weaning weight was transcriptionally correlated (FDR < 0.05) with four of the eleven co-expression gene modules. By intersecting DEGs and hub genes of the four modules, we identified a final set of 37 candidate genes enriched in growth, development, or immune-related processes. In addition, one co-expression module was significantly correlated with all the five body size traits (P < 0.05), from which

Indexed as

Body WeightGene Regulatory NetworksWeaningAnimalsBreedingCattleFemaleGene Expression ProfilingMaleRNA-seqSimmental-Holstein crossbred cattleweaning weightWGCNA

Identifiers

PMID39301708
PMCPMC12674222

What Socratic holds

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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 Socratic graph.