Evidence map›Paper›PMID 40301726›Full record

ArticleBMC microbiology2025

Comparative analysis of three experimental methods for revealing human fecal microbial diversity.

Caiqing Yao, Yu Zhang, Lijun You, Jingjing E, Junguo Wang

Abstract readComparative Study
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Caiqing YaoCollege of Food Science, Shanxi Normal University, Taiyuan, 030031, China.
Yu ZhangCollege of Food Science, Shanxi Normal University, Taiyuan, 030031, China.
Lijun YouSchool of Food Science and Engineering, Bohai University, Liaoning, 121013, China.
Jingjing EKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, School of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China.
Junguo WangKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, School of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China. junguowang@imau.edu.cn.

Funding

the Fundamental Research Program of Shanxi Province 2024L154the Major Program of Natural Science Foundation of Inner Mongolia 2018ZD14the Science and Technology Innovation Project of Shanxi Provincial Universities 202403021212101
6 · The paper itself

Abstract

Due to the heterogeneity of the human gut environment, the gut microbiota is complex and diverse, and has been insufficiently explored. In this study, one fresh fecal sample was cultured using 12 commercial or modified media and incubation of culture plates anaerobically and aerobically, the conventional experienced colony picking (ECP) was first used to isolate the colonies and obtain pure culture strains. On this basis, all the colonies grown on the culture plates were collected for culture-enriched metagenomic sequencing (CEMS), and the original sample was also subjected to direct culture-independent metagenomic sequencing (CIMS), the study compared the effects of three methods for analyzing the microbiota contained in the sample. It was found that compared with CEMS, conventional ECP failed to detect a large proportion of strains grown in culture media, resulting in missed detection of culturable microorganisms in the gut. Microbes identified by CEMS and CIMS showed a low degree of overlap (18% of species), whereas species identified by CEMS and CIMS alone accounted for 36.5% and 45.5%, respectively. It suggests that both culture-dependent and culture-independent approaches are essential in revealing gut microbial diversity. Moreover, based on the CEMS results, growth rate index (GRiD) values for various strains on different media were calculated to predict the optimal medium for bacterial growth; this method can be used to design new media for intestinal microbial isolation, promote the recovery of specific microbiota, and obtain new insights into the human microbiome diversity. This is among the first studies on CEMS of the human gut microbiota.

Indexed as

BacteriaBacteriological TechniquesBiodiversityFecesGastrointestinal MicrobiomeMetagenomicsCulture MediaDNA, BacterialHumansRNA, Ribosomal, 16SSequence Analysis, DNACulture MediaDNA, BacterialRNA, Ribosomal, 16SCulture-enriched metagenomic sequencingCulture-independent metagenomic sequencingExperienced colony pickingGut microbiota

Identifiers

PMID40301726
PMCPMC12039119

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.