Evidence map›Paper›PMID 31875148›Full record

ArticlePeerJ2019

Systematic evaluation of the gut microbiome of swamp eel (

Xuan Chen, Shaoming Fang, Lili Wei, Qiwang Zhong

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2019. 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
0.4field-weighted citation impact, top 37% 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

4 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

4 authors at 2 institutions in 1 country.

Xuan Chen *Jiangxi Engineering Laboratory for the Development and Utilization of Agricultural Microbial Resources, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
Shaoming Fang *College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
Lili WeiCollege of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.
Qiwang ZhongJiangxi Engineering Laboratory for the Development and Utilization of Agricultural Microbial Resources, College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, China.
Jiangxi Agricultural University · CNFujian Agriculture and Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe swamp eel (

methodsThe intestinal microbiomes of the five distinct gut sections (midgut content and mucosa, hindgut content and mucosa, and stools) of swamp eel were compared using Illumina MiSeq sequencing of the bacterial 16S rRNA gene sequence and statistical analysis.

resultsThe results showed that the number of observed OTUs in the intestine decreased proximally to distally. Principal coordinate analysis revealed significant separations among samples from different gut sections. There were 54 core OTUs shared by all gut sections and 36 of these core OTUs varied significantly in their abundances. Additionally, we discovered 66 section-specific enriched KEGG pathways. These section-specific enriched microbial taxa (e.g.,

conclusionsOur results showed that microbial diversity, composition and function capacity varied substantially across different gut sections. The gut section-specific enriched core microbial taxa and function capacities may perform important roles in swamp eel's nutrient metabolism, immune modulation, and host-microbe interactions. This study should provide insights into the gut microbiome of the swamp eel.

Indexed as

16S rRNA sequencingFunction capacitiesMicrobial taxaMonopterus albus

Identifiers

PMID31875148
PMCPMC6927349
OpenAlexW2996189529

What OpenQuestion 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 OpenQuestion graph.