Evidence map›Paper›PMID 42351093›Full record

ArticleBMC biotechnology2026

Comparative analysis of MinION and MiSeq using 16S rRNA gene amplicon sequencing in human gut microbiome.

Chong Zhu, Tao Wang, Wenbo Zhang, Anjie Guo, Shushen Ji, Chunyu Liu, Rongyu Ma, Li Song, Yue Wang, Peng Yao and 2 more

Abstract readComparative Study
In one paragraph

Article in BMC biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Chong Zhu *Department of Clinical Laboratory, Yellow River Sanmenxia Hospital Affiliated to Henan University of Science and Technology, Sanmenxia, Henan, 472000, P.R. China.
Tao Wang *Department of General Surgery II, Yellow River Sanmenxia Hospital Affiliated to Henan University of Science and Technology, Sanmenxia, 472000, P.R. China.
Wenbo ZhangShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Anjie GuoShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Shushen JiShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Chunyu LiuShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Rongyu MaShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Li SongShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Yue WangShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China.
Peng YaoDepartment of Clinical Laboratory, Yellow River Sanmenxia Hospital Affiliated to Henan University of Science and Technology, Sanmenxia, Henan, 472000, P.R. China.
Ling LinShanghai Zhangjiang Institute of Medical Innovation, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, 201204, P.R. China. llin@biotecan.com.
Lejun LiDepartment of Neurology, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, Jiangsu, 215000, P.R. China. lilejjun999@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic classification of microbial populations at high taxonomic resolution is crucial for clinical diagnosis and treatment. The classification of complex bacterial communities in the human gut was examined in this study by utilizing amplicon sequencing of the 16S ribosomal RNA (rRNA) gene. The influence of different sequencing platforms and amplicon regions on this classification was investigated. Nineteen human fecal samples were analyzed using both Nanopore MinION and Illumina MiSeq platforms.The main objective of the analysis was to assess how effectively these platforms can characterize gut microbiota at the Amplicon Sequence Variant (ASV), genus, and species levels, taking into account various amplicon regions within the 16S rRNA gene. The findings reveal significant disparities between the two platforms. In particular, the MinION platform demonstrates higher values in terms of ASV and species richness, as well as diversity (both alpha and beta diversity) compared to the MiSeq platform. These variations are dependent on the specific targeted amplicon region of the 16S rRNA gene. However, despite these differences in richness and diversity, there is a notable level of consistency observed in detecting the presence of dominant microbial taxa across both platforms, although their relative abundances varied significantly. Notably, the study emphasizes that the choice of primers used for amplification exerts the most significant impact on the classification results at the genus level, surpassing the influence of the sequencing platform itself. This research provides valuable insights into the strengths and limitations of long-read and short-read sequencing in the context of classifying complex gut microbiota, particularly in clinical microbiology.

Indexed as

BacteriaGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialFecesHumansDNA, BacterialRNA, Ribosomal, 16S16S rRNAAmplicon regionGut microbiotaMinIONMiSeqNanopore sequencing

Identifiers

PMID42351093
PMCPMC13560268

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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.