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2026 (English)In: BMC Microbiology, E-ISSN 1471-2180, Vol. 26, no 1, article id 580Article in journal (Refereed) Published
Abstract [en]
BACKGROUND: 16S rRNA gene sequencing is widely used for bacterial community profiling in both clinical and research contexts. The expanding availability of library preparation protocols and bioinformatic pipelines increases analytical flexibility but may also introduce method-dependent biases that affect inferred microbial composition and relative abundance estimates. The relative impact of library preparation protocol, amplicon region, and bioinformatic pipeline on species-level taxonomic inference and compositional agreement remains insufficiently characterised. We therefore compared the Illumina 16S Metagenomic Sequencing Library Preparation protocol (V3-V4) and the Zymo Quick-16S Plus NGS Library Prep Kit (V1-V2 and V3-V4) in combination with two bioinformatic pipelines, nf-core/ampliseq and TRANA. Performance was assessed using defined microbial community standards and human faecal and colonic biopsy samples.
RESULTS: Pipeline choice was the dominant driver of variation in inferred community composition, exceeding the effects of amplicon regions and library preparation protocols. Genus-level profiles were broadly concordant across methods. Species-level resolution and agreement with expected community composition differed systematically between pipelines, with TRANA demonstrating lower Bray-Curtis dissimilarities to expected compositions than nf-core/ampliseq. Amplicon region had a secondary, pipeline-dependent effect, while protocol differences were minor. In clinical samples, inter-individual biological variation exceeded technical variation.
CONCLUSIONS: Bioinformatic processing substantially influenced species-level inference in short-read 16S sequencing, highlighting the importance of pipeline selection for microbiome study design and cross-study comparability.
Place, publisher, year, edition, pages
BioMed Central (BMC), 2026
Keywords
16S rRNA sequencing, Amplicon region, Bioinformatics, Library preparation, Microbial profiling, Taxonomic resolution
National Category
Bioinformatics and Computational Biology
Identifiers
urn:nbn:se:oru:diva-129777 (URN)10.1186/s12866-026-05344-6 (DOI)42387381 (PubMedID)
Funder
Örebro UniversityRegion Örebro County, OLL-1027482
2026-07-022026-07-022026-07-07Bibliographically approved