Evidence map›Paper›PMID 41663924›Full record

ArticleBMC microbiology2026

Association of the residual feed intake (RFI) with the rumen microbiota composition and metabolism in Dorper-Hu crossbred lambs.

Bibo Li, Xiaolong Shi, Xiaoyu Yao, Yining Yan, Ke Wu, Chunxiang Zhang, Youshe Ren

Abstract read
In one paragraph

Article in BMC microbiology, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bibo LiCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China. libibo1988@126.com.
Xiaolong ShiCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Xiaoyu YaoCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Yining YanCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Ke WuCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China.
Chunxiang ZhangCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China. chunxiangzhang@sxau.edu.cn.
Youshe RenCollege of Animal Science, Shanxi Agricultural University, Taigu, 030801, China. rys925@126.com.

Funding

"1331 Project" Key Disciplines of Animal Sciences, Shanxi Province J202011313Modern Agro-industry Technology Research System in Shanxi Province Modern Agro-industry Technology Research System in Shanxi ProvinceShanxi Province Outstanding Doctor Award Fund SXBYKY2021037The Science and Technology Innovation Program of Shanxi Agricultural University 2020BQ53
6 · The paper itself

Abstract

backgroundImproving feed efficiency in livestock is crucial for sustainable animal production. Residual feed intake (RFI) is a superior metric that accurately assesses feed efficiency. Animals with a low RFI (LRFI) usually consume less feed than animals with a high RFI (HRFI). Ruminal microbiota plays an important role in feed digestion in sheep. It is essential to elucidate the associations between rumen microbial composition, metabolic profiles, and growth performance of lambs with differing RFI by metagenomic sequencing and metabolomic profiling.

resultsAlthough no significant differences were observed in growth performance, LRFI lambs exhibited significantly lower dry matter intake (P < 0.05) and improved feed efficiency. Integrative metagenomic and metabolomics analysis revealed that the LRFI group showed enrichment of bacteria (Prevotella, Roseburia, and Pseudoscardovia) (P < 0.05) and metabolites (N-Acetylneuraminic acid 9-phosphate, N-Succinyl-L-glutamate, 5-hydroxyindolepyruvate, pelargonidin, sinapic acid, and spermidine) associated with efficient nitrogen metabolism, enhanced microbial protein synthesis, and antioxidant activity. By contrast, the HRFI group was characterized by increased abundance of microorganisms (Methanobrevibacter, Ruminococcus, Butyrivibrio, and Sarcina) (P < 0.05), coupled with elevated levels of metabolites (histidinal, tetrahydrocorticosterone, and sakuranetin). Correlation networks identified positive correlations among Prevotella, unclassified f_Prevotellaceae, several amino acid intermediates and specific flavonoids, and the host traits of reduced DMI and RFI. Conversely, the genera Methanobrevibacter, Ruminococcus, Butyrivibrio, and Sarcina were positively correlated with the increased DMI and RFI.

conclusionsEfficient (low-RFI) animals exhibited a Prevotella-driven microbiome and a distinct metabolome characterized by enrichment of several amino acid intermediates and specific flavonoids, while a more diverse but methanogen-related microbial community (such as Methanobrevibacter, Ruminococcus, Butyrivibrio, and Sarcina) is present in inefficient (HRFI) sheep. The identified microbial and metabolic profiles provide potential biomarkers for breeding feed-efficient animals and developing targeted nutritional interventions to improve ruminant production sustainability.

Indexed as

Animal FeedBacteriaEatingGastrointestinal MicrobiomeRumenAnimalsDigestionMetabolomeMetabolomicsMetagenomicsSheepLambsMetabolomeResidual feed intake (RFI)Rumen microbiome

Identifiers

PMID41663924
PMCPMC13045040

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LicenceCC BY-NC-ND
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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.