Evidence map›Paper›PMID 41894043›Full record

ArticleVeterinary research communications2026

Analysis of the characteristics of rumen microorganisms and their metabolites and plasma metabolites in crossbred beef cattle at different stages.

Xiaohua Tian, Yuan Feng, Chuanchuan Wang, Wei Zhao, Lin Xue, Ling Zhu, Xiaoyun Ji, Hua Wang, Yaling Gu, Qiufei Jiang and 1 more

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Article in Veterinary research communications, 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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5 · Who and what money

Authors and funding

11 authors.

Xiaohua TianCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Yuan FengNingxia Hui Autonomous Region Animal Husbandry Workstation, Yinchuan, 750021, China.
Chuanchuan WangCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Wei ZhaoCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Lin XueCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Ling ZhuCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Xiaoyun JiCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Hua WangCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Yaling GuCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Qiufei JiangNingxia Hui Autonomous Region Animal Husbandry Workstation, Yinchuan, 750021, China. jiangqiufei@163.com.
Juan ZhangCollege of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. zhangjuannxy@nxu.edu.cn.

Funding

Major Project of Science and Technology ofNingxia Autonomous Region 2021BEF01002Natural Science Foundation of Ningxia Hui Autonomous Region 2023AAC03050
6 · The paper itself

Abstract

The rumen microbial community is influenced by various factors such as diet, age, genetics, and breed. This study employs metagenomics and untargeted metabolomics to investigate the characteristics of rumen microbiota and plasma metabolite changes in crossbred beef cattle (Simmental♀× Belgian Blue♂) as they age, as well as their regulatory effects on growth performance. The LEfse analysis results indicated that the dominant microorganisms in the 12-month-old crossbred beef cattle group were Stomatobaculum sp., Succiniclasticum ruminis, and uncultured Succiniclasticum sp., etc., while the dominant microorganisms in the 18-month-old crossbred beef cattle group were Succinivibrio sp., Oceanobacillus sp., and uncultured Holdemanella sp., etc. The differentially expressed metabolites in the rumen and plasma were significantly enriched in the Pyrimidine metabolism pathway and the Valine, leucine and isoleucine biosynthesis pathway. Through GSEA analysis, it was found that the rumen metabolites Thymidine, 4,5-Dihydroorotic acid, Uracil, and Uridine were more abundant at 12 months of age (P < 0.05), while the plasma metabolite 2s-Amino-3s-methylpentanoic acid was more abundant at 18 months of age (P < 0.05). As the age increases, the rumen microbiota of crossbred beef cattle tends to mature and stabilize, and the ability of rumen metabolites and plasma metabolites to provide protein for the host gradually enhances. In summary, our research results aim to provide basic information on the regulatory role of microorganisms and metabolites in the growth performance of crossbred beef cattle, and also offer targets for precise nutritional regulation of beef cattle.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaRumenAnimalsBacteriaCattleFemaleMaleMetabolomeMetagenomicsCrossbred beef cattleDifferent growth stagesMetabolomicsMetagenomics

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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.