ArticleTransboundary and emerging diseases2026
Oxford Nanopore Sequencing of Clinical DNA for Identification and Comparative Genomic Analysis of Erysipelothrix piscisicarius.
Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Oxford Nanopore Sequencing of Clinical DNA for Identification and Comparative Genomic Analysis of Erysipelothrix piscisicarius.Transboundary and emerging diseases · 2026Article
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9 authors.
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Abstract
The genus Erysipelothrix comprises facultative anaerobic, nonspore-forming, gram-positive bacteria that can cause skin infections and severe diseases such as septicemia and endocarditis in humans. Although E. rhusiopathiae is the primary pathogen, other species may also be involved, necessitating accurate identification. However, 16S rDNA sequencing lacks sufficient resolution to differentiate among Erysipelothrix species. In this study, we used Oxford Nanopore Technology (ONT) to directly sequence low-quality DNA extracted from heart valve tissue of a 66-year-old female patient with a fatal case of septicemia and aortic endocarditis. In contrast to 16S rDNA Illumina sequencing and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS), which incorrectly identified the pathogen as E. rhusiopathiae, direct sequencing via ONT precisely identified E. piscisicarius as the cause of infection. About 1.47 Mb genome was retrieved from nanopore direct sequencing. Within the E. piscisicarius genome, we detected genes associated with virulence. Phylogenetic analysis showed that our strain clustered with a human-derived E. piscisicarius strain from China and swine-derived strains from Brazil. In conclusion, this study demonstrated that ONT can be used to sequence low-quality DNA extracted directly from patient specimens, obtain a draft bacterial genome, and reliably distinguish between pathogenic species.
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