Evidence map›Paper›PMID 42226423›Full record

ArticleAnimal bioscience2026

Integrating rumen microbiome and host metabolome to investigate feed conversion ratio across different fattening stages in Hu sheep.

Quanzhong Xu, Xiaoxue Zhang, Huibin Tian, Xiaobin Yang, Jian Zhang, Hongjian Li, Zongwu Ma, Deyin Zhang, Kai Huang, Yukun Zhang and 9 more

Abstract read
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Article in Animal bioscience, 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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1 · What the graph read from it

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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

19 authors.

Quanzhong 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.
Xiaoxue ZhangCollege of Animal Science and Technology, Gansu Agricultural 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.
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.
Jian ZhangCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Hongjian LiCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.
Zongwu MaState 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.
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.
Kai HuangState 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.
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.
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.
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.
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.
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.
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.
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.
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.
Weiwei WuKey Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool Sheep & Cashmere Goat, Institute of Animal Science, Xinjiang Uygur Autonomous Region Academy of Animal Science, Urumqi, 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. wangweimin@lzu.edu.cn.

Funding

Gansu Province Research-Industry Integration Technology Innovation Empowerment Plan 25FNNH001Gansu Provincial Science and Technology Major Project 22ZD6NC069Gansu Provincial Science and Technology Program 25CXGH008National Key Research and Development Program for Young Scientists 2022YFD1302000Wuwei City Science and Technology Major Program WW23A03ZDQ001
6 · The paper itself

Abstract

objectiveFeed conversion ratio (FCR) is a crucial economic trait in animal breeding and management and is also important for environmental sustainability. This study aimed to investigate the putative regulatory mechanisms of FCR in sheep by integrating rumen microbiota and host metabolome through multi-omics analysis.

methodsFCR data were collected from 127 male Hu sheep. Extreme individuals were selected for rumen metagenomic and serum metabolomic analyses to identify key factors driving FCR across early and late fattening stages.

resultsBacteroides, Prevotella, and other genera were identified as dominant taxa in the rumen across both stages, suggesting their ipotential role in FCR regulation. Notably, Nocardia tengcongensis differed significantly between the highest FCR values (HF) and lowest FCR values (LF) groups at different stages, indicating its potential as a predictive biomarker of feed efficiency. Functional analysis revealed that the pentose phosphate pathway (M00004) and lysine biosynthesis via the succinyl-DAP pathway (M00016) were enriched in the LF group, whereas the methanogenesis pathway (M00357) was significantly enriched in the HF group, indicating increased methane production. Thirteen metabolites consistently differed between HF and LF across fattening stages and they may be used as predictive biomarkers. Furthermore, the abundance of Prevotella and Bacteroides increased over time and showed significant correlations with key metabolites.

conclusionThese findings suggest strong interactions between rumen microbiota and host metabolites that may collectively influence FCR, providing new insights into microbial and metabolic regulation of feed efficiency and a theoretical basis for optimizing feeding strategies in sheep.

Indexed as

Fattening StagesFeed Conversion RatioHost MetabolomeHu SheepRumen Metagenome

Identifiers

PMID42226423
PMCPMC13547752

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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.