Multicenter evaluation of the EasySeq full-length 16S sequencing kit for bacterial identification in clinical samples
Year: 2026
Type: article
Abstract: Bacterial culture remains essential for pathogen detection and identification, but its sensitivity is limited in cases involving fastidious microorganisms, polymicrobial infections, or samples obtained after antibiotic treatment. Targeted next-generation sequencing (tNGS) offers a culture-independent alternative and is increasingly being implemented in clinical microbiology. This multicenter study evaluated the EasySeq Full-Length 16S Library Prep Kit for Oxford Nanopore Technologies (EasySeq; NimaGen) combined with the GenomeDetective pipeline (EasySeq-GD) against eight established 16S rRNA gene- and 16–23S rRNA intergenic spacer (IS)-based workflows. Eight medical centers in the Netherlands and Belgium analyzed a mock community sample in triplicate and 20 clinical samples per center ( n = 160). Mock community analysis demonstrated consistent taxonomic profiles across centers with minimal intralaboratory variation. Of 160 clinical samples, 19 (11.9%) initially failed, of which nine (5.6%) remained unresolved. Among the remaining 151 samples, EasySeq-GD and comparator workflows shared 141 detected taxa. In addition, EasySeq-GD identified 92 unique bacterial taxa, whereas comparator workflows identified 32 unique taxa. These findings resulted in clinically relevant discrepancies in eight and three samples, respectively. Overall, EasySeq-GD demonstrated good interlaboratory reproducibility. Taxon-level results were concordant with comparator workflows in 107/151 samples (70.9%), while 140/151 samples (92.7%) showed no clinically relevant discrepancies.
Source: Scientific Reports
Institutions: University Medical Center Groningen, University of Groningen, Isala, University of Utah, Maastricht University Medical Centre, Maastricht University, Care and Public Health Research Institute, Maasstad Ziekenhuis, Amsterdam UMC Location University of Amsterdam, Radboud University Medical Center, Jessa Hospital, Leiden University Medical Center
Language: English
Subfield: Microbiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7225613329
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