Characterisation of IS1311 in Mycobacterium avium subspecies paratuberculosis genomes: Typing, continental clustering, microbial evolution and host adaptation.
Rachel MizziKarren M PlainVerlaine J TimmsIan MarshRichard J WhittingtonPublished in: PloS one (2024)
Johne's disease (JD), caused by Mycobacterium avium subspecies paratuberculosis (MAP) is a global burden for livestock producers and has an association with Crohn's disease in humans. Within MAP there are two major lineages, S/Type I/TypeIII and C/Type II, that vary in phenotype including culturability, host preference and virulence. These lineages have been identified using the IS1311 element, which contains a conserved, single nucleotide polymorphism. IS1311 and the closely related IS1245 element belong to the IS256 family of insertion sequences, are dispersed throughout M. avium taxa but remain poorly characterised. To investigate the distribution and diversity of IS1311 in MAP, 805 MAP genomes were collated from public databases. IS1245 was absent, while IS1311 sequence, copy number and insertion loci were conserved between MAP S lineages and varied within the MAP C lineage. One locus was specific to the S strains, which contained nine IS1311 copies. In contrast, C strains contained either seven or eight IS1311 loci. Most insertion loci were associated with the boundaries of homologous regions that had undergone genome rearrangement between the MAP lineages, suggesting that this sequence may be a driver of recombination. Phylogenomic geographic clustering of MAP subtypes was demonstrated for the first time, at continental scale, and indicated that there may have been recent MAP transmission between Europe and North America, in contrast to Australia where importation of live ruminants is generally prohibited. This investigation confirmed the utility of IS1311 typing in epidemiological studies and resolved anomalies in past studies. The results shed light on potential mechanisms of niche/host adaptation, virulence of MAP and global transmission dynamics.
Keyphrases
- high density
- copy number
- genome wide
- single cell
- magnetic resonance imaging
- pseudomonas aeruginosa
- dna damage
- healthcare
- gene expression
- computed tomography
- mycobacterium tuberculosis
- dna repair
- dna methylation
- mental health
- cystic fibrosis
- microbial community
- emergency department
- rna seq
- artificial intelligence
- risk factors