Genomic insights into persistent infections, reinfections, and subspecies diversity of Mycobacteroides abscessus: A whole-genome sequencing study of Thai and global isolates
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引用次数: 0
Abstract
Mycobacteroides abscessus is a highly resistant pathogen with significant genetic diversity and complicating clinical management. This study used whole-genome sequencing to analyze genomic variations in seven serially collected isolates from three Thai patients, distinguishing between persistent infections and reinfections. Comparative analysis with 43 global isolates revealed subspecies-specific genetic diversity and distribution patterns. Among Thai isolates, two paired samples (P7.1-P7.2 and P15.1-P15.2) were persistent infections (same clone), while two (P8.1-P8.2 and P15.2-P15.3) were reinfections (different clones). Genome-wide comparisons revealed depth distribution patterns and gene cluster variations among different clones, whereas minimal divergence was observed within persistent infections. Although initial pan-genome analysis identified unique genes in same-clone pairs (P7.1 vs. P7.2 and P15.1 vs. P15.2), further validation using raw read mapping confirmed these genes were not truly unique. Analysis of global isolates showed subspecies-specific genetic variations. M. abscessus subsp. abscessus (MAB) and M. abscessus subsp. massiliense (MMAS) exhibited distinct genotypically drug resistance profiles, with unique core genes linked to adaptation and resistance mechanisms. STRING analysis identified 42 unique core genes in MAB, with 11 gene interactions—truB, prmC_2, and aguA_2 showing the highest interaction scores. In contrast, MMAS had 11 unique core genes with a single interaction between lgrD_4 and rnc. Subsequent validation using NCBI BLAST showed only fmt_2 and aguA_2 were truly unique to MAB. This study provides new insights into the genomic evolution of M. abscessus during persistent and reinfections and genetic variation among subspecies. The findings enhance understanding of M. abscessus epidemiology and may inform therapeutic and infection control.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .