Evidence map›Paper›PMID 40119394›Full record

ArticleAnimal microbiome2025

Interaction between cecal microbiota and liver genes of laying ducks with different residual feed intake.

Rongbing Guo, Yuguang Chang, Dandan Wang, Hanxue Sun, Tiantian Gu, Yibo Zong, Shiheng Zhou, Zhizhou Huang, Li Chen, Yong Tian and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal microbiome, 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

13 authors.

Rongbing GuoState 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yuguang ChangState 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Dandan WangState 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Hanxue SunState 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Yibo ZongState 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Shiheng ZhouCherry Valley Agricultural Technology Co. Ltd, Zhoukou, 461300, China.
Zhizhou HuangCherry Valley Agricultural Technology Co. Ltd, Zhoukou, 461300, China.
Li ChenXianghu Laboratory, Hangzhou, 311231, 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, 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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
Lizhi LuXianghu Laboratory, Hangzhou, 311231, China. lulizhibox@163.com.
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, Zhejiang Provincial Engineering Research Center for Poultry Breeding Industry and Green Farming Technology, Institute of Animal Science & Veterinary, Ministry of Agriculture and Rural Affairs of China, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China. zengtao4009@126.com.

Funding

China Agriculture Research System of MOF and MARA CARS-42National Key Research and Development Program of China 2022YFD1300100National Natural Science Foundation of China 32472892Zhejiang Province Agricultural New Breeding Major Science and Technology Special Project 2021C02068Zhejiang Provincial Natural Science Foundation of China LZ23C170001
6 · The paper itself

Abstract

backgroundThe gut microbiota exerts a critical influence on energy metabolism homeostasis and productive performance in avian species. Given the diminishing availability of arable land and intensifying competition for finite resources between livestock production and human populations, the agricultural sector faces dual imperatives to enhance productive efficiency while mitigating ecological footprints. Within this paradigm, optimizing nutrient assimilation efficiency in commercial waterfowl operations emerges as a strategic priority. This investigation employs an integrated multi-omics approach framework (metagenomic, metabolomic, and transcriptomic analyses) to elucidate the mechanistic relationships between cecal microbial consortia and feed conversion ratios in Shan Partridge ducks.

resultsBased on the analysis of metagenome data, a total of 34 phyla, 1033 genera and 3262 species of bacteria were identified by metagenomic sequencing analysis. At the phylum level, 31 phylums had higher mean abundance in the low residual feed intake ( LRFI) group than in the high residual feed intake (HRFI) group. Among them, the expression of microbiome Elusimicrobiota was significantly higher in the LRFI group than in the HRFI group (P < 0.05). And we also found a significant differences in secondary metabolites biosynthesis, transport, and catabolism pathways between the two groups in microbial function (P < 0.05). Based on metabolomic analysis, 17 different metabolites were found. Among them, Lipids and lipid molecules accounted for the highest proportion. Whereas the liver is very closely related to lipid metabolism, we are close to understanding whether an individual's energy utilization efficiency is related to gene expression in the liver. We selected six ducks from each group of six ducks each for liver transcriptome analysis. A total of 322 differential genes were identified in the transcriptome analysis results, and 319 genes were significantly down-regulated. Among them, we found that prostaglandin endoperoxide synthase 2 (PTGS2) might be a key hub gene regulating RFI by co-occurrence network analysis. Interestingly, the differential gene PTGS2 was enriched in the arachidonic acid pathway at the same time as the differential metabolite 15-deoxy-delta12,14-prostaglandin J2 (15d-PGJ2). In addition, the results of the association analysis of differential metabolites with microorganisms also revealed a significant negative correlation between 15d-PGJ2 and Elusimicrobiota.

conclusionBased on comprehensive analysis of the research results, we speculate that the Elusimicrobiota may affect the feed utilization efficiency in ducks by regulating the expression of the PTGS2 gene.

Indexed as

DuckMetabolomicsMetagenomicsResidual feed intakeTranscriptiomics

Identifiers

PMID40119394
PMCPMC11929276

What Socratic 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 Socratic graph.