The dynamics of repeated elements: Applications to the epidemiology of tuberculosis

We propose a stepwise mutation model to describe the dynamics of DMA finger print variation in Mycobacterium tuberculosis. The genome of M, tuberculosi s carries insertion sequences (IS6110) that are relatively stable over time periods of months but have an observable transposition rate over longer ti me scales. Variability in copy number and genomic location of (IS6110) can be harnessed to generate a DNA fingerprint for each strain, by digesting th e genome with a restriction enzyme and using a portion of the element as a probe for Southern blots. The number of bands found for a given genome appr oximates the number of copies of IS6110 it carries. A large data set of suc h fingerprints from tuberculosis (TB) cases in San Francisco provides an ob served distribution of IS6110 copy number. implementation of the model thro ugh deterministic and stochastic simulation indicates some general features of IS/TB dynamics, By comparing observations with outcomes of the model, w e conclude that the IS/TB system is very heterogeneous and far from equilib rium. We find that the transposition parameters have a much stronger effect than the epidemic parameters on copy number distribution.