Evidence map›Paper›PMID 41032951›Full record

ArticlePoultry science2025

Exploration of microorganism and metabolites relation to the egg production of Shanma ducks based on 16S rRNA gene sequencing and metabolomics.

Sasa Miao, Xiaomei Xu, Tao Zeng, Yong Tian, Tiantian Gu, Li Chen, Jiayi Su, Lizhi Lu, Wenwu Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Poultry science, 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

9 authors.

Sasa MiaoState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Xiaomei XuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Tao ZengState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Yong TianState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Tiantian GuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Li ChenState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Jiayi SuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Lizhi LuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Wenwu XuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Livestock and Poultry Resources (Poultry) Evaluation and Utilization, Ministry of Agriculture and Rural Affairs, Institute of Animal Science & Veterinary, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. Electronic address: xuwenwu248@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota and metabolites play crucial roles in regulating poultry health, metabolism, and egg-laying performance. To elucidate the biological basis underlying differences in laying performance, this study employed 16S rRNA high-throughput sequencing and untargeted liquid chromatography-mass spectrometry (LC-MS/MS) to analyze the gut microbiota and serum metabolome of low-producing (LP) and high-producing (HP) Shanma ducks. The LP and HP groups exhibited significant differences in egg production performance, body size parameters, and slaughter traits. Firmicutes were the dominant phylum in the gut microbiota of both groups. However, Actinobacteria were significantly enriched in the HP group, while Campylobacter was more abundant in the LP group. Correlation analysis revealed a negative association between Campylobacter abundance and egg production, whereas Corynebacterium (belonging to Actinobacteria) showed a positive correlation. Non-targeted serum metabolomic analysis indicated that the differentially expressed metabolites were primarily enriched in nucleotide metabolism, choline metabolism, and glycerophospholipid metabolism pathways. Notably, Campylobacter abundance was negatively correlated with the levels of key metabolites involved in these pathways. Mantel analysis further confirmed a strong correlation between egg production and both gut microbiota composition and serum metabolomic profiles. Collectively, these findings provide new insights into the microbial and metabolic determinants of reproductive performance in ducks, offering a foundation for genetic selection and microbiota-targeted nutritional strategies to enhance laying efficiency in Shanma ducks.

Indexed as

DucksGastrointestinal MicrobiomeMetabolomeAnimalsBacteriaFemaleMetabolomicsRNA, BacterialRNA, Ribosomal, 16SRNA, BacterialRNA, Ribosomal, 16SCorrelation analysisEgg produtionGut microbiotaSerum metabolitesShamma ducks

Identifiers

PMID41032951
PMCPMC12517094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.