Exploring the zoonotic potential of Mycobacterium avium subspecies paratuberculosis through comparative genomics

James W Wynne1, Tim J Bull, Torsten Seemann

  • 1Australian Animal Health Laboratory, CSIRO Livestock Industries, Geelong, Victoria, Australia. james.wynne@csiro.au

Plos One
|July 30, 2011
PubMed

Insights

Genomic analysis of Mycobacterium avium subspecies paratuberculosis (MAP) reveals two duplications, vGI-17 and vGI-18, common in human and animal isolates. Human MAP strains show higher vGI-17 proportions, potentially aiding infection persistence.

Area of Science:

  • Comparative genomics
  • Microbial genomics
  • Genetics of infectious diseases

Background:

  • Mycobacterium avium subspecies paratuberculosis (MAP) is linked to Crohn's disease (CD) and Johne's disease in animals.
  • Understanding genomic variations in MAP is crucial for elucidating disease pathogenesis.

Purpose of the Study:

  • To compare the genomes of MAP isolates from human inflammatory bowel disease (IBD) patients and animals.
  • To identify genomic features that may differentiate human-pathogenic MAP strains.

Main Methods:

  • Whole genome sequencing and comparative genome hybridization (CGH) of MAP isolates from CD, ulcerative colitis (UC), and animal hosts.
  • Phylogenetic analysis to determine genetic relatedness.
  • PCR and quantitative real-time PCR to screen for and quantify specific genomic duplications (vGI-17, vGI-18).

Main Results:

  • MAP isolates from human IBD patients were genetically similar and clustered with some animal isolates.
  • Two large tandem duplications, vGI-17 and vGI-18, were identified in human isolates and found to be common across many MAP strains.
  • Human-derived MAP isolates exhibited a higher proportion of the vGI-17 duplication compared to most animal isolates.

Conclusions:

  • The identified duplications (vGI-17, vGI-18) represent transient genomic rearrangements in MAP.
  • The over-representation of vGI-17 in human MAP strains may enhance host infection or persistence through increased genome redundancy.