Evidence map›Paper›PMID 42868855›Full record

ArticlePoultry science2026

Inter-breed diversity and temporal dynamics of the fecal microbiota in two local chicken breeds from karst regions in China.

Zhengdong Wang, Qian Xiao, Mengyuan Wang, Yong Yue, Sanqiang Du, Fuping Zhang, Xiongxiong Cui

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhengdong WangKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang, 550025, China.
Qian XiaoKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang, 550025, China.
Mengyuan WangSchool of Health & Life Sciences, Teesside University, Middlesbrough, TS1 3BX, UK.
Yong YueSchool of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Sanqiang DuChina Institute for Rural Studies, School of Public Policy and Management, Tsinghua University, Beijing, 100084, 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, China.
Xiongxiong CuiKey Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, College of Animal Science, Guizhou University, Guiyang, 550025, China. Electronic address: xxcui@gzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the temporal dynamics and inter-breed differences of fecal microbiota in two indigenous chicken breeds from Guizhou during the early post-hatch period. Six hundred chicks, including 300 Guizhou yellow chickens (GY) and 300 Changshun green-shell egg chickens (CG), were reared under identical conditions, and fecal samples were collected at post-hatch days 1, 3, 7, 14, 30, and 45. Microbial communities were analyzed using 16S rRNA gene sequencing. Alpha diversity analysis revealed a progressive increase in microbial richness and diversity with age in both breeds, with CG peaking at day 45 and GY at day 30. Beta diversity analysis indicated breed-specific clustering, reflecting distinct temporal succession patterns. Taxonomic profiling showed Bacillota as the dominant phylum across all time points, while Enterococcus and Ligilactobacillus were the core genera, with early samples enriched in Escherichia-Shigella and Clostridium. LEfSe analysis identified age- and breed-specific microbial biomarkers, demonstrating a general trend of early dominance by Clostridia and Escherichia-Shigella, mid-stage enrichment of diverse genera including Candidatus Arthromitus and Ruminococcus, and late-stage prevalence of lactic acid bacteria such as Lactobacillus and Streptococcus. Functional prediction indicated carbohydrate and amino acid metabolism as the predominant microbial functions. Quantification of ecological processes revealed that homogeneous selection constituted the dominant mechanism, overwhelmingly governed microbiota assembly, with stochastic processes playing a minor, breed-specific role. The CG breed exhibited a pattern of rapid, directional succession, culminating in a stable and phylogenetically conserved community. This suggests that host genetic factors may exert strong and consistent deterministic selection, which could thereby facilitate the formation of specialized microbiota. In contrast, the GY breed displayed a more gradual and variable assembly process, resulting in a community with higher temporal turnover and greater phylogenetic plasticity. Overall, the findings reveal that inter-breed diversity is not merely compositional but extends to the underlying ecological rules governing community succession. Meanwhile, these findings suggest that inter-breed diversity may be shaped by host genetic factors, which in turn mold the temporal assembly and functional features of the early gut microbiota, providing insights into precision nutritional management and health optimization for local poultry breeds.

Indexed as

Changshun green-shell egg chickenGuizhou yellow chickenGut microbiotaLocal chicken breedsTemporal dynamics

Identifiers

PMID42868855
PMCPMC13681981

What OpenQuestion holds

Textmetadata
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.