Evidence map›Paper›PMID 40636508›Full record

ArticleFrontiers in microbiology2025

MGV-seq: a sensitive and culture-independent method for detecting microbial genetic variation.

Lun Li, Weiyu Kong, Jing Sun, Yongzhong Jiang, Tiantian Li, Zhihui Xia, Junfei Zhou, Zhiwei Fang, Lihong Chen, Shun Feng and 6 more

Abstract read
In one paragraph

Article in Frontiers in 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

16 authors.

Lun Li *Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Weiyu Kong *Institute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Jing SunInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Yongzhong JiangHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Tiantian LiInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Zhihui XiaHainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, Hainan, China.
Junfei ZhouInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Zhiwei FangInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Lihong ChenInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Shun FengInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Huiyin SongInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Huafeng XiaoInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Baolong ZhangInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Bin FangHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, China.
Hai PengInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.
Lifen GaoInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precise detection of microbial genetic variation (MGV) at the strain level is essential for reliable disease diagnosis, pathogen surveillance, and reproducible research. Current methods, however, are constrained by limited sensitivity, specificity, and dependence on culturing. To address these challenges, we developed MGV-Seq, an innovative culture-independent approach that integrates multiplex PCR, high-throughput sequencing, and bioinformatics to analyze multiple dispersed nucleotide polymorphism (MNP) markers, enabling high-resolution strain differentiation. Methods: Using Results: MGV-Seq achieved 100% reproducibility and accuracy in major allele detection, with sensitivity down to 0.1% ( Conclusion: MGV-Seq establishes a robust, high-throughput solution for strain identification, microevolution monitoring, and authentication, overcoming limitations of culture-dependent and metagenomics-based methods. Its applicability extends to other microorganisms, offering potential for clinical, agricultural, and forensic diagnostics.

Indexed as

identification authenticationMGV-Seqmicrobial genetic variationmultiple dispersed nucleotide polymorphism markersmultiplex polymerase chain reactionstrain purification

Identifiers

PMID40636508
PMCPMC12237947

What OpenQuestion holds

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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.