Evidence map›Paper›PMID 38229330›Full record

ArticleApplied microbiology and biotechnology2024

Integrated omics analysis reveals the alteration of gut microbiota and fecal metabolites in Cervus elaphus kansuensis.

Zhenxiang Zhang, Changhong Bao, Zhaonan Li, Caixia He, Wenjie Jin, Changzhong Li, Yanxia Chen

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Zhenxiang ZhangCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.ORCID https://orcid.org/0000-0003-0300-9580
Changhong BaoCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.ORCID https://orcid.org/0000-0002-3546-0408
Zhaonan LiCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.ORCID https://orcid.org/0000-0002-4444-9163
Caixia HeCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.ORCID https://orcid.org/0000-0003-3125-9106
Wenjie JinCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China.ORCID https://orcid.org/0000-0001-5961-4937
Changzhong LiCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China. lichangzhong@qhu.edu.cn.ORCID https://orcid.org/0000-0002-7320-6611
Yanxia ChenCollege of Eco-Environmental Engineering, Qinghai University, No. 251 Ningda Road, Xining, 810016, China. chenyanxia2021@qhu.edu.cn.ORCID http://orcid.org/0000-0003-1265-6544
Qinghai University · CN

Funding

Doctoral Scientific Research Start-up Foundation of Qinghai University 2021-BS-093Science and Technology Innovation Project of Three RiverSource First-class Discipline, College of Eco-Environment Engineering, Qinghai University 2021-JS-02
6 · The paper itself

Abstract

The gut microbiota is the largest and most complex microecosystem in animals. It is influenced by the host's dietary habits and living environment, and its composition and diversity play irreplaceable roles in animal nutrient metabolism, immunity, and adaptation to the environment. Although the gut microbiota of red deer has been studied, the composition and function of the gut microbiota in Gansu red deer (Cervus elaphus kansuensis), an endemic subspecies of red deer in China, has not been reported. In this study, the composition and diversity of the gut microbiome and fecal metabolomics of C. elaphus kansuensis were identified and compared for the first time by using 16S rDNA sequencing, metagenomic sequencing, and LC-MS/MS. There were significant differences in gut microbiota structure and diversity between wild and farmed C. elaphus kansuensis. The 16S rDNA sequencing results showed that the genus UCRD-005 was dominant in both captive red deer (CRD) and wild red deer (WRD). Metagenomic sequencing showed similar results to those of 16S rDNA sequencing for gut microbiota in CRD and WRD at the phylum and genus levels. 16S rDNA and metagenomics sequencing data suggested that Bacteroides and Bacillus might serve as marker genera for CRD and WRD, respectively. Fecal metabolomics results showed that 520 metabolites with significant differences were detected between CRD and WRD and most differential metabolites were involved in lipid metabolism. The results suggested that large differences in gut microbiota composition and fecal metabolites between CRD and WRD, indicating that different dietary habits and living environments over time have led to the development of stable gut microbiome characteristics for CRD and WRD to meet their respective survival and reproduction needs. KEY POINTS: • Environment and food affected the gut microbiota and fecal metabolites in red deer • Genera Bacteroides and Bacillus may play important roles in CRD and WRD, respectively • Flavonoids and ascorbic acid in fecal metabolites may influence health of red deer.

Indexed as

BacillusDeerGastrointestinal MicrobiomeAnimalsChromatography, LiquidDNA, RibosomalRNA, Ribosomal, 16STandem Mass SpectrometryDNA, RibosomalRNA, Ribosomal, 16SCervus elaphus kansuensisEnvironmental adaptationGansu red deerGut microbiotaMetabolomics

Identifiers

PMID38229330
PMCPMC10789680
OpenAlexW4390881544

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.