Evidence map›Paper›PMID 39145993›Full record

ArticleAnimal biotechnology2024

Integrated analysis of intestinal microbial community and muscle transcriptome profile in rabbits.

Shengbo Meng, Shanshan Xing, Huifen Xu, Jing Li, Yixuan Jiang, Hui He, Hanfang Cai, Ming Li

Abstract read
In one paragraph

Article in Animal biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

8 authors.

Shengbo MengCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Shanshan XingCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Huifen XuCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Jing LiAnimal Health Supervision Institute of Biyang, Henan, P.R. China.
Yixuan JiangCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Hui HeCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Hanfang CaiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.
Ming LiCollege of Animal Science and Technology, Henan Agricultural University, Zhengzhou, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intestinal microbial community plays an important part in maintaining health and skeletal muscle development in livestock. This study is the first of its kind in the world. In order to better understand the relationship between gut microbiota and gene expression in skeletal muscle of rabbits, caecum contents and longissimus dorsi tissues of rabbits at 0 d (S1), 35 d (S2) and 70d (S3) were collected and subjected for 16S rRNA sequencing and transcriptome sequencing. Our results showed that, among three groups of rabbits, Firmicutes and Bacteroidetes were the dominant phyla at the phylum level, while Akmansia, Bacteroides and Ruminobacter were the dominant genera at the genus level, and the relative abundance of Akmansia and Bacteroides increased firstly and then decreased from 0 d to 70 d. By analyzing the transcriptome sequencing data, we identified 2866, 2446 and 4541 differentially expressed genes (DEGs) in S1 vs S2, S2 vs S3 and S1 vs S3 groups, respectively. Finally, we performed correlation analysis between gut microbiota and the expression levels of muscle development-related genes of rabbits at 0 d and 70 d. Compared with 0 day old rabbits, in 70 day old rabbits Acinetobacter and Cronbacter with decreased abundance, and

Indexed as

Gastrointestinal MicrobiomeMuscle, SkeletalRNA, Ribosomal, 16STranscriptomeAnimalsBacteriaCecumGene Expression ProfilingMaleRabbitsRNA, Ribosomal, 16Sgene–microorganism interactionsMicrobiomemusclerabbitstranscriptome

Identifiers

PMID39145993
PMCPMC12674385

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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.