Evidence map›Paper›PMID 40340823›Full record

ArticleBMC genomics2025

Integrated multi-omics analysis and functional validation uncovers RPL26 roles in regulating growth traits of Asian water buffaloes (Bubalus bubalis).

Yangyang Shen, Zhenjiang An, Linna Gao, Mingfa Gu, Shuwen Xia, Qiang Ding, Yinxia Li, Shaoxian Cao, Jianbin Li, Jinming Huang and 4 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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

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

1 citing paper in PubMed.

  1. 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

14 authors.

Yangyang ShenInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Zhenjiang AnInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Linna GaoInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Mingfa GuSheyang Buffalo Farm, Sheyang, 224300, China.
Shuwen XiaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Qiang DingInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Yinxia LiInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Shaoxian CaoInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Jianbin LiInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Jinming HuangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
Jifeng ZhongInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China.
Kunlin ChenInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. chenkunlin@jaas.ac.cn.
Xiao WangInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China. xiaowangzntc@163.com.
Huili WangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China. wanghuili318@163.com.

Funding

National Key R & D Program of China 2021YFD1200404Shandong Provincial Natural Science Foundation ZR2023QC252
6 · The paper itself

Abstract

backgroundAsian water buffaloes (Bubalus bubalis) in the Yangtze River Basin of China are the important meat provider for local residents because of its outstanding body size. Several previous studies have highlighted their genetic basis of growth characteristics, but the crucial genes regulating growth traits via multi-layer omics are still rarely investigated.

resultsWe conducted a comprehensive multi-omics analysis integrating blood and muscle transcriptome, plasma metabolome, rumen fluid metagenome, and genome of Haizi water buffaloes. Of note, ribosomal protein L26 (RPL26) located in the evolutionary selection regions associated with body sizes is the top differentially expressed gene (DEG) in both blood and muscle tissues. Further metabolomics and metagenomics identified growth-related molecular biomarkers (myristicin and Bacteroidales) and microbiological composition (Bacteroides and Prevotella). Leveraging cattle quantitative trait loci (QTLs) and genotype-tissue expression (CattleGTEx) databases, we found the significant correlations of QTL_180979 on RPL26 and two identified cis-eQTLs in muscle tissue in the upstream of RPL26 with weight gain. The follow-up cell assay validations confirmed the regulation roles of RPL26 in cell cycle, apoptosis, and differentiation, where the low RPL26 expressions enhanced the antiapoptotic ability and promoted the differentiation of myoblasts into myotubes markedly.

conclusionsOur study illustrates RPL26 roles in regulating growth traits via both integrated multi-omics analysis and functional validations that suggests the further applications of RPL26 for growth trait selection of water buffaloes.

Indexed as

BuffaloesRibosomal ProteinsAnimalsGenomicsMetabolomeMetabolomicsMultiomicsQuantitative Trait LociTranscriptomeRibosomal ProteinsAsian water buffaloFunctional validationGrowth traitMulti-omicsRPL26

Identifiers

PMID40340823
PMCPMC12063299

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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.