The genomes of Mycobacterium avium complex showcase the arsenal shaping its pathogenesis
摘要
The bacteria in Mycobacterium avium complex (MAC) are responsible for different diseases in humans, livestock, and birds. These resilient pathogens are difficult to control and have been a global cause for concern. This bioinformatic analysis, using 90 complete MAC genomes, explored pathogenicity islands (PAIs), resistance islands (RIs), metabolic islands (MIs), virulome, antibiotic resistance genes, and anti-phage defense systems. The MAC genomes exhibited variation amongst themselves. PAIs and RIs play a crucial role in host and environmental adaptation. Key genes in PAIs were non-ribosomal peptide synthetase DhbF, RNA polymerase sigma factor, transposase ORF B, putative transposases, aldehyde dehydrogenase, and glycosyl transferase CpsE. In RIs, significant genes were enoyl-[acyl-carrier-protein] reductase (NADH), lactoylglutathione lyase, cytochrome P450, ABC-type transport system, macrolide export ATP-binding/permease, drug resistance transporter, and transcriptional regulators. PAIs and RIs were linked to infection, disease establishment, host–pathogen interactions, and the conferring of resistance. Notable genes housed by MIs, including Zn-dependent alcohol dehydrogenases, NAD-dependent aldehyde dehydrogenases, and polyketide synthase modules, assist MAC survival. MAC housed a wide array of virulent proteins that facilitated its pathogenic lifestyle. Noteworthy were acyl COA dehydrogenase, PPE family protein, putative cytochrome P450 hydroxylase, and AcrR family transcriptional regulator. Dominant antibiotic-resistant gene families included RbpA, a bacterial RNA polymerase-binding protein; small multidrug resistance (SMR) antibiotic efflux pump; and antibiotic-resistant murA transferase. PD-T4-6 and cyclase were the most prevalent anti-phage defense systems. The information on this arsenal of genes will aid in understanding the interaction between MAC and their hosts, and enable the development of appropriate preventive strategies.