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ORIGINAL RESEARCH article

Front. Cell. Infect. Microbiol.

Sec. Clinical and Diagnostic Microbiology and Immunology

This article is part of the Research TopicOmics Sciences in Microbiology and Infectious DiseasesView all 8 articles

NGS-based approach for diagnostically unidentified Mycobacterium saskatchewanense, a rare nontuberculous mycobacterium

Provisionally accepted
Giulia  GattiGiulia Gatti1*Ludovica  InglettoLudovica Ingletto1Giorgio  DiraniGiorgio Dirani2Silvia  ZannoliSilvia Zannoli2Francesca  TaddeiFrancesca Taddei2Claudia  ColosimoClaudia Colosimo1Laura  DionisiLaura Dionisi1Anna  MarzuccoAnna Marzucco2Maria Sofia  MontanariMaria Sofia Montanari2Agnese  DenicolòAgnese Denicolò2Francesco  CongestrìFrancesco Congestrì2Laura  GrumiroLaura Grumiro2Martina  BrandoliniMartina Brandolini1Massimiliano  GuerraMassimiliano Guerra2Alessandra Mistral  De PascaliAlessandra Mistral De Pascali1Alessandra  ScagliariniAlessandra Scagliarini1Monica  CriccaMonica Cricca1,2Vittorio  SambriVittorio Sambri1,2
  • 1University of Bologna, Bologna, Italy
  • 2Azienda Unita Sanitaria Locale della Romagna, Ravenna, Italy

The final, formatted version of the article will be published soon.

The implementation of advanced technologies and algorithms for diagnosis and genome analysis has made a fundamental contribution to pathogens' identification and investigation. The study of nontuberculous 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 the throughputs and investigated in shared and unique Single Nucleotide Polymorphisms count, phylogenesis with 16S, hsp65, and rpoB concatenated genes, and core genome Multilocus Sequence Typing to broaden the current knowledge of M. saskatchewanense 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 broaden the current knowledge of Mycobacterium saskatchewanense. Principal Component Analysis on the three genes combined with the mutations' annotation suggests that rpoB may serve as a suitable marker to distinguish M. saskatchewanense from other NTM. Our results show that frontier studies performed using NGS can help in overcoming the limits of traditional diagnostic assays and deepen the knowledge on rare and uncommon NTM that are raising clinical concern.

Keywords: bioinformatics, diagnosis, marker, Nontuberculous, Sequence Analysis

Received: 14 Aug 2025; Accepted: 27 Nov 2025.

Copyright: © 2025 Gatti, Ingletto, Dirani, Zannoli, Taddei, Colosimo, Dionisi, Marzucco, Montanari, Denicolò, Congestrì, Grumiro, Brandolini, Guerra, De Pascali, Scagliarini, Cricca and Sambri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Giulia Gatti

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