Evidence map›Paper›PMID 39695983›Full record

ArticleBMC microbiology2024

Metagenomic analysis reveals the community composition of the microbiome in different segments of the digestive tract in donkeys and cows: implications for microbiome research.

Lei Su, Jindan Guo, Weixiong Shi, Wei Tong, Xue Li, Bochao Yang, Zhiguang Xiang, Chuan Qin

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

Lei Su *NHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China. sulei@cnilas.org.
Jindan Guo *NHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.
Weixiong Shi *NHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.
Wei Tong *NHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.
Xue LiNHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.
Bochao YangNHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.
Zhiguang XiangNHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China. xiangzhiguang@cnilas.org.
Chuan QinNHC Key Laboratory of Human Disease Comparative Medicine, National Human Diseases Animal Model Resource Center, International Center for Technology and Innovation of Animal Model, Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences (CAMS) & Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, 100021, China.

Funding

CAMS initiative for Innovative Medicine of China 2021-I2M-1-039, 2021-I2M-1-034National Key Research and Development Program of China 2021YFF0702900Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2023-PT180-01
6 · The paper itself

Abstract

introductionThe intestinal microbiota plays a crucial role in health and disease. This study aimed to assess the composition and functional diversity of the intestinal microbiota in donkeys and cows by examining samples collected from different segments of the digestive tract using two distinct techniques: direct swab sampling and faecal sampling.

resultsIn this study, we investigated and compared the effects of multiple factors on the composition and function of the intestinal microbial community. Approximately 300 GB of metagenomic sequencing data from 91 samples obtained from various segments of the digestive tract were used, including swabs and faecal samples from monogastric animals (donkeys) and polygastric animals (cows). We assembled 4,004,115 contigs for cows and 2,938,653 contigs for donkeys, with a total of 9,060,744 genes. Our analysis revealed that, compared with faecal samples, swab samples presented a greater abundance of Bacteroidetes, whereas faecal samples presented a greater abundance of Firmicutes. Additionally, we observed significant variations in microbial composition among different digestive tract segments in both animals. Our study identified key bacterial species and pathways via different methods and provided evidence that multiple factors can influence the microbial composition. These findings provide new insights for the accurate characterization of the composition and function of the gut microbiota in microbiome research.

conclusionsThe results obtained by both sampling methods in the present study revealed that the composition and function of the intestinal microbiota in donkeys and cows exhibit species-specific and region-specific differences. These findings highlight the importance of using standardized sampling protocols to ensure accurate and consistent characterization of the intestinal microbiota in various animal species. The implications and underlying mechanisms of these associations provide multiple perspectives for future microbiome research.

Indexed as

BacteriaEquidaeFecesGastrointestinal MicrobiomeGastrointestinal TractMetagenomicsAnimalsBacteroidetesCattleMetagenomeSequence Analysis, DNADigestive tract segmentsIntestinal microbiotaMetagenomic analysisMicrobiota composition

Identifiers

PMID39695983
PMCPMC11656932

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.