Evidence map›Paper›PMID 39819813›Full record

ArticleMicrobiome2025

Core microbe Bifidobacterium in the hindgut of calves improves the growth phenotype of young hosts by regulating microbial functions and host metabolism.

Yimin Zhuang, Duo Gao, Wen Jiang, Yiming Xu, Guanglei Liu, Guobin Hou, Tianyu Chen, Shangru Li, Siyuan Zhang, Shuai Liu and 6 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  7. Host-associatedCurrent research in food science · 2026
    Article
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  13. Article
  14. From wheat bran to equine gut: theFrontiers in physiology · 2025
    Article
  15. Review
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

16 authors.

Yimin Zhuang *State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Duo Gao *State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Wen Jiang *State Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Yiming XuState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Guanglei LiuState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Guobin HouState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Tianyu ChenState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Shangru LiState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Siyuan ZhangState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Shuai LiuState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Jingjun WangState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Jianxin XiaoState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Mengmeng LiState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Wei WangState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Shengli LiState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.
Zhijun CaoState Key Laboratory of Animal Nutrition and Feeding, International Calf and Heifer Organization, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China. caozhijun@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe growth and health of young ruminants are regulated by their gut microbiome, which can have lifelong consequences. Compared with subjective grouping, phenotypic clustering might be a more comprehensive approach to revealing the relationship between calf growth state and core gut microbes. However, the identification of beneficial gut bacteria and its internal mechanisms of shaping host phenotype differentiation remains unclear.

resultsIn this study, calves were divided into two clusters, cluster1 and cluster2, based on 29 phenotypic indicators using cluster analysis. Calves in cluster2 showed better growth performance, including higher body weight (BW), average daily gain (ADG), and dry matter intake (DMI), as well as better serum indicators with a high level of total superoxide dismutase (T-SOD), interleukin-6 (IL-6), and insulin-like growth factor-1 (IGF-1) compared to those in cluster1. Multi-omics was used to detect microbial features among calves in different phenotypic clusters. Distinct differences were observed between the two clustered gut microbiomes, including microbial diversity and composition. The close relationships between growth performance, blood metabolites, and microbiome were also confirmed. In cluster2, Bifidobacterium members were the dominant contributors to microbial metabolic functions with a higher abundance. Furthermore, pathways involved in carbohydrate degradation, glycolysis, and biosynthesis of propionate and proteins were active, while methane production was inhibited. In addition, the diversity and richness of hindgut resistome in cluster2 were lower than those in cluster1. The isolation and culture of Bifidobacterium strain, as well as the mice experiment, indicated that B. longum 1109 from calf feces in cluster2 could promote the growth of young hosts, enhance their blood immunity and antioxidation, and improve the development of hindgut.

conclusionsIn summary, cluster analysis has proved to be a feasible and reliable approach for identifying phenotypic subgroups of calves, prompting further exploration of host-microbiome interactions. Bifidobacterium as a core microbe in the hindgut of calves may play a crucial probiotic role in host phenotypic differentiation. This study enhances our comprehension of how gut core microbe shapes the host phenotype and provides new insights into the manipulation of beneficial gut colonizers to improve the growth performance and productivity of young ruminants. Video Abstract.

Indexed as

BifidobacteriumGastrointestinal MicrobiomeAnimalsCattleFecesInsulin-Like Growth Factor IMicePhenotypeProbioticsRNA, Ribosomal, 16SInsulin-Like Growth Factor IRNA, Ribosomal, 16SCalfCore microbeMulti-omicsPhenotypic clustering

Identifiers

PMID39819813
PMCPMC11740343

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.