Evidence mapPaperPMID 41630069Full record

ArticleJournal of animal science and biotechnology2026

Integrative analysis of rumen microbiota and host multi-organ interactions underlying feed conversion efficiency in Hu sheep.

Xiaowei Jia, Yuanxin Zhang, Boya Tian, Guijie Zhang, Shengyong Mao, Wenxi Qian, Daming Sun, Junhua Liu

Abstract read
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Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Xiaowei JiaRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Yuanxin ZhangRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Boya TianRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Guijie ZhangCollege of Animal Science, Ningxia University, Yinchuan, 750021, China.
Shengyong MaoRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China.
Wenxi QianCollege of Animal Science and Technology, Tarim University, Alar, 843300, China.
Daming SunRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China. sundm128@163.com.
Junhua LiuRuminant Nutrition and Feed Engineering Technology Research Center, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China. liujunhua0011@163.com.

Funding

Fundamental Research Funds for the Central Universities KJJQ2025020National Key Research and Development Program of China 2021YFF1000703Research Fund of Tarim University HS202302
6 · The paper itself

Abstract

backgroundRumen microbiota drive fermentation and contribute to variation in feed efficiency among ruminants, yet the underlying host-microbe mechanisms remain poorly understood. This study explores how rumen microbes shape feed conversion efficiency (FCR) through integrated interactions with multiple host organs.

resultsWe applied a multi-omics strategy-combining rumen metagenomics and host multi-organ transcriptomics-in Hu sheep with divergent FCR. From a uniform cohort of 150 weaned male Hu lambs, 13 low-FCR (LFCR) and 13 high-FCR (HFCR) individuals were selected for integrated analyses. LFCR sheep exhibited greater growth performance and higher ruminal propionate concentrations compared with HFCR animals. The ruminal microbiomes were enriched in Saccharofermentans and Succinivibrionaceae_UBA2804, and showed functional convergence on amino acid biosynthesis, central carbon metabolism, and propionate-oriented fermentation in LFCR sheep. Carbohydrate-active enzyme profiles indicated that LFCR animals favored fiber- and starch-associated modules (GH126, CBM27, EPS-GT), whereas HFCR animals were enriched in host-glycan and uronic acid-degrading families (CE14, GH89, PL15). Hydrogen metabolism highlighted a clear dichotomy: LFCR animals redirected H₂ toward propionate and sulfate reduction, while HFCR animals retained greater butyrate-producing and methanogenic capacity. Transcriptomic profiling across rumen epithelium, liver, and muscle identified tissue-specific regulatory modules. Only the liver showed strong enrichment of carbohydrate metabolism, with a complete glycogen turnover and glucose export system (GYS2, PYGL, PGM2, G6PC1) and pathways linking microbial short-chain fatty acids to gluconeogenesis. In contrast, muscle efficiency modules were dominated by contractile and cytoskeletal genes (e.g., MYL2, TNNC1, TPM3), reflecting optimized energy expenditure rather than substrate metabolism. No efficiency-associated modules were detected in the rumen epithelium, consistent with its role in propionate absorption rather than metabolism.

conclusionsThe rumen microbiota of LFCR sheep possess highly efficient capacities for volatile fatty acid and amino acid synthesis, thereby enhancing energy utilization at its source. The resulting propionate further promotes hepatic gluconeogenesis, directly supplying energy for muscle cell growth and ultimately improving FCR. Thus, co-metabolism between rumen microbiota and the liver provides energy for muscle cell growth and is a key determinant of improved feed efficiency.

Indexed as

Feed efficiencyHost transcriptomicsRumen microbiotaSheep

Identifiers

PMID41630069
PMCPMC12865948

What Socratic holds

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LicenceCC BY
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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 Socratic graph.