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. 2000 Mar 28;97(7):3532-7.
doi: 10.1073/pnas.97.7.3532.

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

M M Tanaka  1 , P M Small, H Salamon, M W Feldman
Affiliations

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

M M Tanaka et al. Proc Natl Acad Sci U S A. .

Abstract

We propose a stepwise mutation model to describe the dynamics of DNA fingerprint variation in Mycobacterium tuberculosis. The genome of M. tuberculosis carries insertion sequences (IS6110) that are relatively stable over time periods of months but have an observable transposition rate over longer time scales. Variability in copy number and genomic location of (IS6110) can be harnessed to generate a DNA fingerprint for each strain, by digesting the 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 approximates the number of copies of IS6110 it carries. A large data set of such fingerprints from tuberculosis (TB) cases in San Francisco provides an observed distribution of IS6110 copy number. Implementation of the model through deterministic and stochastic simulation indicates some general features of IS/TB dynamics. By comparing observations with outcomes of the model, we conclude that the IS/TB system is very heterogeneous and far from equilibrium. We find that the transposition parameters have a much stronger effect than the epidemic parameters on copy number distribution.

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Figures

Figure 1
Figure 1
A scheme for the model. See text for a description of parameters and the dynamical equations (Eq. 1).
Figure 2
Figure 2
Deterministic numerical iteration. Parameter values used are as follows: i0 = 10; n = 500,000; R0,0 = 6; ν = 0.004; p = 0.05; μ = 0.02; μT = 0.1; φ = 0.058; h = 0.001; ω1 = 0.005; γ = 0.6; c = 0.001. The horizontal axis omits the uninformative high-copy classes (>100). The vertical axis indicates numbers (Ti) of active cases.
Figure 3
Figure 3
Overall distribution of band (copy) number from the San Francisco data set.
Figure 4
Figure 4
Copy number distributions of subgroups of the data set. The data were divided by place of birth of cases. We chose to plot the four categories with the largest totals: United States (open bars), China (dark gray bars), Philippines (light gray bars), and Vietnam (black bars).
See this image and copyright information in PMC

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