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Dataset Information

NGS-based approach for diagnostically unidentified <i>Mycobacterium saskatchewanense</i>, a rare non-tuberculous mycobacterium.


ABSTRACT:

Introduction

The implementation of advanced technologies and algorithms for diagnosis and genome analysis has made a fundamental contribution to pathogens' identification and investigation.

Methods

The study of non-tuberculous mycobacteria (NTM) benefited from a next-generation sequencing (NGS) approach, making it possible to describe sequences of rare pathogens. This study identified 20 diagnostically unknown isolates as Mycobacterium saskatchewanense ST 691, an environmental NTM. The isolates were sequenced on two different platforms to compare their throughput and to investigate shared and unique single nucleotide polymorphism (SNP) counts, phylogeny based on concatenated 16S, hsp65, and rpoB genes, and core-genome multilocus sequence typing (MLST), in order to bro

SUBMITTER: Gatti G 

PROVIDER: S-EPMC12748190 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature