Whole Genome Sequence Dataset of Mycobacterium tuberculosis Strains from Patients of Campania Region

• Published in: Scientific data Vol. 11; no. 1; p. 220
• Main Authors: Folliero, Veronica, Ferravante, Carlo, Iovane, Valentina, Salvati, Annamaria, Crescenzo, Laura, Perna, Rossella, Corvino, Giusy, Della Rocca, Maria T., Panetta, Vittorio, Tranfa, Alessandro, Greco, Giuseppe, Baldoni, Teresa, Pagnini, Ugo, Finamore, Emiliana, Giurato, Giorgio, Nassa, Giovanni, Coppola, Mariagrazia, Atripaldi, Luigi, Greco, Rita, D’Argenio, Annamaria, Foti, Maria Grazia, Abate, Rosamaria, Del Giudice, Annalisa, Sarnelli, Bruno, Weisz, Alessandro, Iovane, Giuseppe, Pinto, Renato, Franci, Gianluigi, Galdiero, Massimiliano
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 19.02.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 692/699/255/1856; 692/700/139; Antitubercular Agents - pharmacology; Data Descriptor; Datasets; Disease transmission; Drug resistance; Drug Resistance, Multiple, Bacterial - genetics; Genomes; Humanities and Social Sciences; Humans; Isoniazid; Isoniazid - pharmacology; multidisciplinary; Multidrug resistance; Mycobacterium tuberculosis; Mycobacterium tuberculosis - drug effects; Mycobacterium tuberculosis - genetics; Nucleotide sequence; Science; Science (multidisciplinary); Tuberculosis; Tuberculosis, Multidrug-Resistant - microbiology
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-024-03032-6

Tuberculosis (TB) is one of the deadliest infectious disorders in the world. To effectively TB manage, an essential step is to gain insight into the lineage of Mycobacterium tuberculosis (MTB) and the distribution of drug resistance. Although the Campania region is declared a cluster area for the infection, to contribute to the effort to understand TB evolution and transmission, still poorly known, we have generated a dataset of 159 genomes of MTB strains, from Campania region collected during 2018–2021, obtained from the analysis of whole genome sequence. The results show that the most frequent MTB lineage is the 4 according for 129 strains (81.11%). Regarding drug resistance, 139 strains (87.4%) were classified as multi susceptible, while the remaining 20 (12.58%) showed drug resistance. Among the drug-resistance strains, 8 were isoniazid-resistant MTB, 4 multidrug-resistant MTB, while only one was classified as pre-extensively drug-resistant MTB. This dataset expands the existing available knowledge on drug resistance and evolution of MTB, contributing to further TB-related genomics studies to improve the management of this disease.