Evidence map›Paper›PMID 42190473›Full record

ArticlePoultry science2026

Microbiomics and metabolomics reveal microbial-metabolic signatures associated with body weight variation in chickens.

Xudong Zhao, Yingping Tian, Sheng Wu, Yong Yue, Yun Du, Fuping Zhang, Xing Lei, Zhiwen Chen, Yaozhou Jiang, Qinsong Liu

Abstract read
In one paragraph

Article in Poultry science, 2026. 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. 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

10 authors.

Xudong ZhaoKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Yingping TianKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Sheng WuKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Yong YueSchool of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Yun DuKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Fuping ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China. Electronic address: zfu-1010@126.com.
Xing LeiKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Zhiwen ChenKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Yaozhou JiangKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.
Qinsong LiuKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang 550025 Guizhou Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body weight is a complex quantitative trait regulated by the combined effects of polygenic inheritance and environmental factors. Among non-genetic determinants, the gut microbiota and its associated metabolic processes play critical roles in influencing growth performance in poultry. However, the microbiota-metabolite associations underlying growth-related phenotypes in chickens with divergent body weights remain insufficiently characterized. In this study, we integrated 16S rRNA gene sequencing with untargeted serum metabolomics to systematically characterize the cecal microbial communities and host metabolic profiles associated with body weight variation in hybrid chickens. Our results showed that significant divergence in body weight between groups emerged from 8 weeks of age onward. The high-body-weight group was significantly enriched in potentially functional taxa, including Lactobacillus, Subdoligranulum, Megasphaera, Negativibacillus, and Sutterella. Metabolomic analysis identified 60 differentially abundant metabolites. The high-body-weight group was characterized by upregulation of glycerophospholipid metabolites and enrichment of lipid metabolism pathways, whereas the low-body-weight group exhibited enrichment primarily in amino acid and pyrimidine metabolism pathways. Correlation analysis revealed that taxa enriched in the high-body-weight group were positively associated with lipid-related metabolites, whereas characteristic taxa of the low-body-weight group, such as Colidextribacter and Pseudoflavonifractor, were positively correlated with specific amino acid-related metabolites. Collectively, these findings provide novel multi-omics evidence of microbiota-metabolite associations underlying growth traits in poultry and offer potential insights into the development of microbiota-based strategies to improve production performance.

Indexed as

Body WeightChickensGastrointestinal MicrobiomeMetabolomeAnimalsBacteriaCecumMaleMetabolomicsMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SBody weightChickenGut microbiotaMulti-omicsSerum metabolomics

Identifiers

PMID42190473
PMCPMC13233762

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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.