Evidence map›Paper›PMID 41716833›Full record

ArticleAnimal nutrition (Zhongguo xu mu shou yi xue hui)2026

Genome-resolved metagenomics reveals gastrointestinal microbiome adaptations in sheep responding to fiber- and starch-rich diets.

Fei Xie, Jichao Li, Pengyu Liu, Lei Xu, Yue Wang, Qiang Qiu, Shengyong Mao

Abstract read
In one paragraph

Article in Animal nutrition (Zhongguo xu mu shou yi xue hui), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fei XieSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China.
Jichao LiLaboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Pengyu LiuLaboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Lei XuLaboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Yue WangLaboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
Qiang QiuSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an 710072, China.
Shengyong MaoLaboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gastrointestinal tract of ruminants hosts a specialized microbial ecosystem that has evolved to efficiently digest fiber. However, modern intensive farming practices, which often involve reduced dietary fiber and increased grain supplementation, are linked to metabolic disorders in ruminants. Despite this, the understanding of the taxonomic and functional adaptations of the gastrointestinal microbiome to dietary changes remains limited, largely due to the challenges in obtaining high-resolution characterization of microbial communities. This study employed genome-resolved metagenomics to examine how a starch-rich (SR) grain-based diet compares to a fiber-rich (FR) hay-based diet in shaping the composition and function of the gastrointestinal microbiome in the rumen, jejunum, and cecum of Hu sheep. A total of 10 sheep (approximately 180 d old, with a body weight of 25.6 ± 0.41 kg) were allocated to the 2 dietary groups (SR and FR groups) for a 28-d experimental period, and metagenomic sequencing was performed on digesta samples from different gastrointestinal regions. Using a representative microbial gene catalog (RGMGC) and 10,373 metagenome-assembled genomes from previous studies,microbial composition, strain-level diversity, and carbohydrate-active enzyme profiles at higher taxonomic and functional resolution were analyzed. The results showed that the transition from the FR diet to the SR diet significantly altered the fermentation patterns and the structure and function of the sheep gastrointestinal microbiota. Community analysis revealed microbial taxa such as

Indexed as

DietGastrointestinal microbiotaMetagenomeMicrobial genomesPrevotellaSheep

Identifiers

PMID41716833
PMCPMC12914395

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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.