Nanopore Is Preferable over Illumina for 16S Amplicon Sequencing of the Gut Microbiota When Species-Level Taxonomic Classification, Accurate Estimation of Richness, or Focus on Rare Taxa Is Required.

16S rRNA Illumina Nanopore gut microbiota species-level taxonomy

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
21 Mar 2023
Historique:
received: 13 02 2023
revised: 02 03 2023
accepted: 13 03 2023
medline: 30 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: epublish

Résumé

Nanopore sequencing is a promising technology used for 16S rRNA gene amplicon sequencing as it can provide full-length 16S reads and has a low up-front cost that allows research groups to set up their own sequencing workflows. To assess whether Nanopore with the improved error rate of the Kit 12 chemistry should be adopted as the preferred sequencing technology instead of Illumina for 16S amplicon sequencing of the gut microbiota, we used a mock community and human faecal samples to compare diversity, richness, and species-level community structure, as well as the replicability of the results. Nanopore had less noise, better accuracy with the mock community, a higher proportion of reads from the faecal samples classified to species, and better replicability. The difference between the Nanopore and Illumina results of the faecal bacterial community structure was significant but small compared to the variation between samples. The results show that Nanopore is a better choice for 16S rRNA gene amplicon sequencing when the focus is on species-level taxonomic resolution, the investigation of rare taxa, or an accurate estimation of richness. Illumina 16S sequencing should be reserved for communities with many unknown species, and for studies that require the resolution of amplicon sequence variants.

Identifiants

pubmed: 36985377
pii: microorganisms11030804
doi: 10.3390/microorganisms11030804
pmc: PMC10059749
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Malta Enterprise
ID : 2020 Eureka Network Project 15839/NP/HealthyAgeing

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Auteurs

Márton Szoboszlay (M)

The BioArte Ltd., SGN 3000 San Gwann, Malta.

Laetitia Schramm (L)

The BioArte Ltd., SGN 3000 San Gwann, Malta.

David Pinzauti (D)

The BioArte Ltd., SGN 3000 San Gwann, Malta.

Jeanesse Scerri (J)

The BioArte Ltd., SGN 3000 San Gwann, Malta.

Anna Sandionigi (A)

Department of Informatics, Systems and Communication, University of Milan Bicocca, 20126 Milan, Italy.

Manuele Biazzo (M)

The BioArte Ltd., SGN 3000 San Gwann, Malta.

Classifications MeSH