Performance and practicality of 16S nanopore sequencing for routine bacterial identification in clinical samples
A. U. Geers, C. Bütikofer, M. A. Terrazos Miani, S. Droz, A. Zihler Berner, I. Lendenmann, P. M. Keller, F. Suter-Riniker, S. Neuenschwander, C. Hirzel, C. Casanova, A. RametteABSTRACT
The accurate and timely identification of bacterial pathogens in low-diversity samples is critical for clinical diagnostics, yet traditional culture-based methods often fail due to prior antibiotic exposure or fastidious growth requirements. While 16S rRNA gene sequencing provides a culture-independent alternative, traditional Sanger sequencing cannot resolve polymicrobial infections, and short-read sequencing platforms are often limited by long turnaround times and high associated costs. Oxford Nanopore Technologies (ONT) offers a promising solution through rapid turnaround times and lower costs; however, its clinical adoption is hindered by a lack of standardized, validated protocols, and large-scale comparative data. We developed a rapid, cost-effective 16S rRNA diagnostic workflow using ONT and benchmarked its performance against an Illumina next-generation sequencing (NGS) workflow. The pipeline utilizes an
IMPORTANCE
This study validates a 16S nanopore sequencing (ONT) pipeline against the gold-standard Illumina workflow for accurate bacterial identification in low-diversity clinical samples, essential for effective diagnostics. The pipeline showed high consistency with Illumina across 101 clinical samples. Crucially, the ONT workflow proved significantly more cost-effective and demonstrated superior efficiency, requiring approximately 50 h less total time, making it feasible for routine clinical implementation. The impact for routine diagnostics was made possible by the combination of ONT’s game-changing technology with the Molzym CE IVD-marked products using ultra-pure PCR reagents and tests. We conclude that 16S nanopore sequencing is a feasible, time- and cost-effective method suitable for direct implementation in routine clinical diagnostic workflows.