One-step multiplex PCR assay for identification of <i>Mycobacterium kansasii</i> complex species

Current methods used for the <i>Mycobacterium kansasii</i> complex (MKC) species identification lack the resolution to differentiate between individual MKC species and require time-demanding multiple steps and costly analyses. Herein, we present a novel one-step multiplex PCR assay that enables rapid and cost-effective species-level identification of MKC members, suitable for implementation in both clinical diagnostics and epidemiological investigations. The method was evaluated using 143 <i>Mycobacterium</i> strains, including 17 reference strains and 126 clinical or environmental isolates. It accurately identified the vast majority (98%) of strains, with only two atypical <i>M. kansasii</i> subtype IIB isolates misidentified as <i>M. persicum</i>. The calculated sensitivity and specificity of the assay were 98% and 100%, respectively.

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Publication Details

Journal
Microbiology Spectrum
Published
2026-03-05
DOI
https://doi.org/10.1128/spectrum.03267-25
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
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article

One-step multiplex PCR assay for identification of Mycobacterium kansasii complex species

Tomasz Jagielski, Zofia Bakuła, Paulina Joanna Wałpuska, Katarzyna Rastawicka
Microbiology Spectrum
Mycobacterium research and diagnosis
article

One-step multiplex PCR assay for identification of Mycobacterium kansasii complex species

Tomasz Jagielski, Zofia Bakuła, Paulina Joanna Wałpuska, Katarzyna Rastawicka
article en

Abstract

Current methods used for the <i>Mycobacterium kansasii</i> complex (MKC) species identification lack the resolution to differentiate between individual MKC species and require time-demanding multiple steps and costly analyses. Herein, we present a novel one-step multiplex PCR assay that enables rapid and cost-effective species-level identification of MKC members, suitable for implementation in both clinical diagnostics and epidemiological investigations. The method was evaluated using 143 <i>Mycobacterium</i> strains, including 17 reference strains and 126 clinical or environmental isolates. It accurately identified the vast majority (98%) of strains, with only two atypical <i>M. kansasii</i> subtype IIB isolates misidentified as <i>M. persicum</i>. The calculated sensitivity and specificity of the assay were 98% and 100%, respectively.

Microbiology Spectrum
Czech Academy of Sciences, Institute of Microbiology (CZ), University of Warsaw (PL)
Life in Land
Openalex Percentile: Top 34%
Mycobacterium research and diagnosis
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