Evidence map›Paper›PMID 41387926›Full record

ArticleMicrobiome2025

Multiomics insights into rumen microbiome and function in grazing lambs: implications for nutrient absorption and grassland sustainability.

Xiuhua Ma, Bing Wang, Minle Xu, Yingjun Zhang, Nan Liu, Li Teng, Zhen Li, Huan Yang, Ximei Xie, Bo Zhang and 5 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Dietary Supplementation ofMicroorganisms · 2026
    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

15 authors.

Xiuhua Ma *State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Bing Wang *State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Minle XuCollege of Grass Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Yingjun ZhangCollege of Grass Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Nan LiuCollege of Grass Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Li TengState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Zhen LiState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Huan YangState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Ximei XieState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Bo ZhangState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Zhi WangState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Yuting WangState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Jiaguan LiuState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Jie BaoState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China.
Hailing LuoState Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, People's Republic of China. luohailing@cau.edu.cn.

Funding

The Major Program of National Natural Science Foundation of China 32192463
6 · The paper itself

Abstract

backgroundThe center of sustainable development of grassland husbandry is the balance between forage intake and growth characteristics of animals, and one of the keys to restricting the conversion efficiency of forage intake is the digestibility of forage produced by rumen microorganisms. Thus, the interaction between grass intake and rumen microbial fermentation is a key driver of both ruminant productivity and grassland ecosystem health. However, interactions between grass species, supplementary feeding, rumen microbiome, and rumen epithelium function, remain poorly understood.

resultsWe employed metagenomic and metatranscriptomic analyses, coupled with single-cell RNA sequencing (scRNA-seq) of rumen wall and serum metabolomics, to investigate how the rumen microbiome regulates grass intake and host metabolism. In a two-factor (grazing intensity and concentrate supplementation) experiment with 72 lambs, supplementary feeding under moderate grazing increased dry matter intake but decreased grass consumption of Artemisia tanacetifolia. These shifts correlated with contrasting trends between metagenomic and metatranscriptomic profiles of Lachnospiraceae. scRNA-seq revealed an increased abundance of basal cells (BCs), terminally differentiated keratinocytes (TDKs), and differentiated keratinocytes (DKs) in the supplemented group, with solute carrier genes (e.g., SLC16A1) involved in short chain fatty acids (SCFAs) transport enriched in basal cells. We also identified interactions between the rumen microbiome and host epithelial cells, influencing gene expression and localization, which in turn mediated the animal serum nutrient metabolism, particularly in B vitamin, bile acids, and amino acids.

conclusionsOur study identified key microbiome and epithelial cell subtypes involved in grass digestion and SCFAs metabolism in the rumen. This novel link between ruminal microbial function, epithelial cell cluster-based genes, and host metabolism provides critical insights into mechanisms underlying the interaction between grass intake and supplementary feeding for optimizing ruminant management strategies in sustainable grazing systems. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeNutrientsRumenAnimal FeedAnimalsBacteriaFermentationGrasslandMetagenomicsMultiomicsPoaceaeSheepNutrientsGrass intakeGrazingLambsMetagenomicMetatranscriptomicsSingle-cell RNA sequencing

Identifiers

PMID41387926
PMCPMC12817819

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.