Evidence map›Paper›PMID 39714160›Full record

ArticleMicrobiology spectrum2025

Spatial heterogeneity determines the gastrointestinal microbiome signatures and ecological processes that govern bacterial community assembly in sheep.

Yukun Zhang, Jiangbo Cheng, Changchun Lin, Fadi Li, Xiaoxue Zhang, Chong Li, Deyin Zhang, Xiaobin Yang, Dan Xu, Yuan Zhao and 5 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

15 authors.

Yukun ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.ORCID 0000-0003-0729-3267
Jiangbo ChengState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Changchun LinInstitute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, China.
Fadi LiState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Chong LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Deyin ZhangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Xiaobin YangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Dan XuState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Yuan ZhaoState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Liming ZhaoState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Xiaolong LiState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Huibin TianState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Xiuxiu WengState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Weimin WangState Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems; Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs; Engineering Research Center of Grassland Industry, Ministry of Education; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.ORCID 0000-0002-6660-4865

Funding

Major Science and Technology Project of Gansu Province 22ZD6NC069MOST | National Key Research and Development Program of China (NKPs) 2022YFD1302000MOST | National Natural Science Foundation of China (NSFC) 31960653MOST | National Natural Science Foundation of China (NSFC) 32260818
6 · The paper itself

Abstract

Sheep are one of the globally significant livestock, providing meat, dairy products, and wool for human life, playing an indispensable role in human civilization. Despite significant advancements in microbiome research in recent years, most studies have focused solely on the rumen, lacking a comprehensive study covering the microbiome of different gastrointestinal tract (GIT) regions in sheep. In this study, we collected 338 samples from 10 different regions of the sheep GIT and systematically investigated their microbiome signatures, including community structure, enterotypes, interactions among taxa, and microbial community assembly. Our results showed that the bacterial diversity of sheep GIT exhibited a U-shaped pattern along the GIT, with the lowest diversity in the jejunum. The bacterial community composition and enterotype varied along the GIT, mainly divided into three distinct groups (four-chambered stomach, small intestine, and large intestine). The rumen had the highest total number of bacterial taxa, unique taxa, and unique functions, while the enterotypes were the same in the three regions of the large intestine. The bacterial co-occurrence networks differed greatly between different GIT regions, with more positive correlations than negative ones. Furthermore, we found that the assembly processes of bacterial communities in the four-chambered stomach and small intestine were mainly stochastic, while those in the large intestine were mainly shaped by deterministic processes, with a higher ecological niche width than other GIT regions. Our results reveal the spatial pattern of bacterial communities in the sheep GIT and the intrinsic mechanisms of bacterial community assembly, laying the foundation for microbial interventions to improve sheep productivity and sustainable farming. IMPORTANCE: Sheep's gastrointestinal tract harbors a diverse microbial community crucial for immune system balance, nutrient digestion, and overall health. We explored the microbial community composition, community types (enterotypes), bacterial interactions, and ecological processes in 10 gastrointestinal regions of 36 six-month-old Hu sheep raised under same diets and environmental conditions. Our findings revealed a unique U-shaped pattern of bacterial diversity from the rumen to the rectum, with the lowest diversity in the jejunum. The composition and enterotypes of bacterial communities varied spatially along the gastrointestinal tract, primarily categorized into three distinct groups. The rumen exhibited the highest abundance of bacterial taxa, unique taxa, and unique functions, while the enterotypes in the three regions of the large intestine were consistent. We explored the assembly processes of bacterial communities, elucidating how they find their ecological niches based on their characteristics and environmental demands. The assembly processes in the four-chambered stomach and small intestine resembled random selection, where bacterial positioning depended on luck and chance, while in the large intestine, it appeared more deterministic, with specific bacteria likely selected based on their unique skills and environmental requirements. This study enhances our understanding of microbial coexistence and interactions in complex ecosystems, with implications for improving animal productivity, disease treatment, and the development of novel microbial formulations.

Indexed as

BacteriaGastrointestinal MicrobiomeGastrointestinal TractAnimalsBiodiversityRNA, Ribosomal, 16SRumenSheepStomachRNA, Ribosomal, 16Sbacterial community assemblyco-occurrence networksenterotypesgastrointestinal tractsheep

Identifiers

PMID39714160
PMCPMC11792493

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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.