Evidence map›Paper›PMID 40119296›Full record

ArticleBMC genomics2025

The rumen microbiome and its metabolome together with the host metabolome regulate the growth performance of crossbred cattle.

Wei Zhao, Lina Ma, Lin Xue, Qiufei Jiang, Yuan Feng, Suwan Wang, Jinli Tian, Xiaohua Tian, Yaling Gu, Juan Zhang

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

10 authors.

Wei Zhao *Ningxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Lina Ma *Ningxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Lin XueNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Qiufei JiangNingxia Hui Autonomous Region Animal Husbandry Workstation, Yinchuan, 750021, China.
Yuan FengNingxia Hui Autonomous Region Animal Husbandry Workstation, Yinchuan, 750021, China.
Suwan WangNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Jinli TianNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Xiaohua TianNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China.
Yaling GuNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. guyaling@sina.com.
Juan ZhangNingxia Key Laboratory of Ruminant Molecular and Cellular Breeding, College of Animal Science and Technology, Ningxia University, Yinchuan, 750021, China. zhangjuannxy@nxu.edu.cn.

Funding

the Major Project of Science and Technology of Ningxia Autonomous Region 2021BEF01002the Natural Science Foundation of Ningxia 2023AAC03050
6 · The paper itself

Abstract

backgroundAlthough it has been demonstrated that gastrointestinal microorganisms greatly influence livestock performance, the effect of gastrointestinal microorganisms on the growth performance of crossbred cattle remains unclear. Due to their superior production characteristics, understanding the impact of gastrointestinal microorganisms on the growth performance of crossbred beef cattle is of significant importance for improving farming efficiency.

resultIn this study, healthy Simmental with similar birth date and weight were selected as dams, Simmental (Combination I), Belgian Blue (Combination II) and Red Angus (Combination III) were used as parents for crossbreeding. The progeny of the three combination crosses were measured for growth performance under identical conditions from birth rearing to 18 months of age (n = 30). Rumen fluid and plasma were collected for macro-genomic and non-targeted metabolomic analysis (n = 8). The results showed that Combination II was superior to Combination I and Combination III in body weight (BW) and body height (BH) (P < 0.05). Mycoplasma, Succinivibrio, Anaerostipes, Methanosphaera, Aspergillus, and Acidomyces were significantly increased in the rumen of Combination II (P < 0.05), whereas differentially expressed metabolites (DEMs) 9,10,13-Trihome (11), 9,12,13-Trihome and 9(10)-Epome, and 9(S)-Hpode were reduced in abundance. In addition, plasma DEM PC (14:0/P-18:1(11Z)), PC (16:0/0:0), and PC (17:0/0:0) were down-regulated in combination II. Correlation analysis revealed that Anaerostipes, Methanosphaera, and Succinivibrio were associated with PC (14:0/P-18:1(11Z)), 9(10)-Epome, 9,10,13-Trihome (11), 9(S)-Hpode, 9,10,13-Trihome, PC (17:0/0:0), and PC (16:0/0:0). Growth traits were significantly positively correlated with the three dominant genera, Anaerostipes, Methanosphaera, and Succinivibrio, while significantly negatively correlated with key rumen metabolites and plasma metabolites (P < 0.05).

conclusionsOur study reveals the role of rumen microorganisms and its metabolites with host metabolism in the regulation of growth performance of crossbred cattle, which will contribute to the development of modern cattle breeding.

Indexed as

Gastrointestinal MicrobiomeMetabolomeRumenAnimalsCattleFemaleHybridization, GeneticMetabolomicsGrowth performanceHybrid offspringMetaboliteRumen microorganismsSimmental

Identifiers

PMID40119296
PMCPMC11927116

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.