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Title:Subspecies-specific sequence detection for differentiation of Mycobacterium abscessus complex
Authors:Minias, Alina (Author)
Żukowska, Lidia (Author)
Lach, Jakub (Author)
Jagielski, Tomasz (Author)
Strapagiel, Dominik (Author)
Kim, Su-Young (Author)
Koh, Won-Jung (Author)
Adam, Heather (Author)
Bittner, Ruth (Author)
Truden, Sara (Author)
Žolnir-Dovč, Marija (Author)
Dziadek, Jarosław (Author)
Tipology:1.01 - Original Scientific Article
Organisation:Logo UKPBAG - University Clinic of Respiratory and Allergic Diseases Golnik
Abstract:Mycobacterium abscessus complex (MABC) is a taxonomic group of rapidly growing, nontuberculous mycobacteria that are found as etiologic agents of various types of infections. They are considered as emerging human pathogens. MABC consists of 3 subspecies - M. abscessus subsp. bolletti, M. abscessus subsp. massiliense and M. abscessus subsp. abscessus. Here we present a novel method for subspecies differentiation of M. abscessus named Subspecies-Specific Sequence Detection (SSSD). This method is based on the presence of signature sequences present within the genomes of each subspecies of MABC. We tested this method against a virtual database of 1505 genome sequences of MABC. Further, we detected signature sequences of MABC in 45 microbiological samples through DNA hybridization. SSSD showed high levels of sensitivity and specificity for differentiation of subspecies of MABC, comparable to those obtained by rpoB sequence typing.
Keywords:Mycobacterium abscessus complex, nontuberculous mycobacteria, diagnosis
Year of publishing:2020
Publisher:Springer Nature
Source:Velika Britanija
COBISS_ID:38347779 Link is opened in a new window
ISSN on article:2045-2322
OceCobissID:18727432 Link is opened in a new window
DOI:10.1038/s41598-020-73607-x Link is opened in a new window
Note:Nasl. z nasl. zaslona; Soavtorici iz Slovenije: Sara Truden, Manca Žolnir-Dovč; Opis vira z dne 19. 11. 2020; Article no. 16415;
Files:.pdf PDF - Presentation file, download (1,23 MB)
.zip ZIP - Supplement, download (4,12 MB)
URL URL - Source URL, visit
Journal:Sci. rep.
Nature Publishing Group
Rights:© The Author(s) 2020
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License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:02.10.2020