Evidence map›Paper›PMID 40267563›Full record

ArticlePoultry science2025

Species and functional composition of cecal microbiota and resistance gene diversity in different Yunnan native chicken breeds: A metagenomic analysis.

Zonghui Jian, Hao Wu, Shixiong Yan, Tengchuan Li, Ruohan Zhao, Jingying Zhao, Xiannian Zi, Kun Wang, Ying Huang, Dahai Gu and 6 more

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

16 authors.

Zonghui JianFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China; Faculty of Animal Husbandry and Veterinary Medicine, Yunnan Vocational and Technical College of Agriculture, Kunming, 650031, Yunnan Province, People's Republic of China.
Hao WuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Shixiong YanFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Tengchuan LiState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Ruohan ZhaoFaculty of Animal Husbandry and Veterinary Medicine, Yunnan Vocational and Technical College of Agriculture, Kunming, 650031, Yunnan Province, People's Republic of China.
Jingying ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China; Insititute of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, Yunnan Province, People's Republic of China.
Xiannian ZiFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Kun WangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Ying HuangFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Dahai GuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China; College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Sumei ZhaoFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Changrong GeFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Junjing JiaFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Lixian LiuInsititute of Science and Technology, Chuxiong Normal University, Chuxiong, 675000, Yunnan Province, People's Republic of China.
Zhiqiang XuFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China; College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China.
Tengfei DouFaculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, Yunnan Province, People's Republic of China. Electronic address: tengfeidou@ynau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota of chickens not only modulates host immune function and production performance through nutrient metabolism but also serves as a reservoir for antibiotic resistance genes (ARGs), whose accumulation exacerbates bacterial resistance. This study integrated 108 cecal microbiome samples from six Yunnan native chicken breeds under free-range and caged farming systems, constructing a comprehensive catalog comprising 12,715 microbial genomes. We systematically revealed the dual mechanisms by which the gut microbiota regulates host phenotypes and ARG dissemination. Metagenomic analysis demonstrated that Alistipes, Prevotella, and Spirochaeta synergistically regulate body weight and immune indices through metabolic networks, which are linked to the significant enrichment of carbohydrate-active enzymes. GH23 and GT2 presented the greatest abundance, highlighting their pivotal role in dietary fiber metabolism. A total of 1327 ARGs were identified, spanning seven resistance mechanisms dominated by antibiotic efflux and target alteration. Alistipes_sp._CAG:831 presented the highest ARG abundance and diversity, with ARG levels strongly correlated with host bacterial abundance. Metagenomic-phenotype association networks further revealed that environmental stress drives disparities in ARG enrichment by altering the microbial community structure. This study elucidates the gut microbiota-host interaction network in Yunnan native chickens and provides critical insights into ARG transmission dynamics, offering a theoretical foundation for antibiotic resistance risk assessment and sustainable poultry farming strategies.

Indexed as

CecumChickensDrug Resistance, MicrobialGastrointestinal MicrobiomeGenetic VariationAnimalsBacteriaChinaMetagenomicsAntibiotic resistance genesBody weight and immune functionCecal microbiotaNative chicken

Identifiers

PMID40267563
PMCPMC12207819

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.