Three Mycobacterium avium genotypes classified by 1.4-Mb genomic inversion and single-nucleotide variations are tightly linked to disease progression

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Authors: Kentaro Tanaka, Yuuki Bamba, Nobumasa Aoki, Ikumi Yamagishi, Kenjiro Shima, Hideyuki Ogata, Satoshi Shibata, Yasuyoshi Ohshima, Satoshi Watanabe, Hiroshi Moro, Toshiyuki Koya, Mitsuhiro Yamada
+3 more Hisatoshi Sugiura, Akira Watanabe, Toshiaki Kikuchi
Cited by: 1
References: 28

Abstract

INTRODUCTION: Mycobacterium avium lung disease (MA-LD) poses significant challenges in predicting disease progression. This study aimed to characterize the genomic diversification of M. avium and define its relationship to disease progression. METHODS: We investigated the whole-genome sequence data of 36 M. avium clinical strains. Comparative analyses of genomic structure and sequence were undertaken between subjects with progressive disease (PD) and those with stable disease (SD). RESULTS: M. avium strains were classified into two types: type A and type nonA, according to the 1.4-Mb genomic inversion. All type A strains (n = 15) were isolated from PD subjects, and type nonA strains were referred to as type B and type C strains and were isolated from PD subjects (n = 10) and SD subjects (n = 11), respectively. The three strain types (A/B/C) were mainly distributed in distinct clusters of the amino acid identity-based phylogenetic tree. We further identified the specific set of single-nucleotide variations discriminating between type B and type C strains. The three M. avium genotypes were associated with disease progression in an independent validation cohort of 32 subjects. CONCLUSIONS: The genomic types of M. avium may represent a valuable biomarker for estimating the risk for MA-LD progression.

Fields of Study & Subjects

Mycobacterium research and diagnosis Tuberculosis Research and Epidemiology Lung Cancer Treatments and Mutations

Publication details

Journal / source
International Journal of Infectious Diseases
Publisher
Elsevier BV
Volume
169
Pages
108816–108816
Publication date
20 May 2026
Language
EN