Evidence map›Paper›PMID 40586571›Full record

ArticleMicrobiology spectrum2025

Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.

Yingying Jiang, Zhenjiang An, Wenjie Li, Shuwen Xia, Qiang Ding, Jifeng Zhong, Huili Wang, Yan Xu, Kunlin Chen, Yangyang Shen

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Yingying JiangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.ORCID 0009-0005-2836-5276
Zhenjiang AnInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Wenjie LiInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Shuwen XiaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Qiang DingInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Jifeng ZhongInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Huili WangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Yan XuJiangsu Provincial Station of Animal Husbandry, Nanjing, Jiangsu, China.
Kunlin ChenInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Yangyang ShenInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.ORCID 0000-0002-8177-4766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rumen microbiome plays a crucial role in determining the metabolic and digestive efficiency of livestock. Despite its crucial role, the impact of the rumen microbiome on average daily gain (ADG) in Xuzhou cattle remains underexplored. Xuzhou cattle is a well-known breed in China, renowned for rapid growth and superior meat quality. We selected 10 individuals from the Xuzhou cattle population and categorized Xuzhou cattle into High-ADG and Low-ADG groups and analyzed their rumen microbiota. Through comprehensive metagenomic and metabolomic analyses, we characterized the microbial diversity and functional composition of the rumen microbiome, uncovering distinct taxonomic and functional alterations associated with ADG. Thirteen kingdoms, 224 phyla, and over 16,000 species were identified, and principal coordinates analysis (PCoA) indicated significant microbial differentiation between the two groups on phylum, genus, and species levels ( IMPORTANCE: This study identifies key microbiota (Victivallales and Lentisphaerae) and metabolites (gamma-glutamyltyrosine, Asp-Phe, N-acetylaspartic acid, Gly-Phe) that positively regulate average daily gain (ADG) in Xuzhou cattle through amino acid metabolism. This fundamental information is vital for the development of potential manipulation strategies to improve the daily gain level through precision feeding.

Indexed as

BacteriaGastrointestinal MicrobiomeRumenAnimalsCattleChinaMetabolomicsMetagenomicsMultiomicsdaily weight gainmachine learningmetabolitesrumen microbiomeXuzhou cattle

Identifiers

PMID40586571
PMCPMC12323375

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.