Quantitative Dynamics of Telomere Bouquet Formation
Figure 6
Examples of how dmax and dout change with time, and experimental scatter plots (compared to the deterministic pure-drift model) of how dmax and dout vary with the number of telomere clusters.
A. Four examples of how dmax changes with time in the deterministic pure drift model with a randomly-orientated initial cap. As telomere clusters move towards the bouquet site, dmax generally increases attaining a maximum of 2R when the bouquet is fully formed. The initial plateau represents the initial waiting time T0. Cases where dmax initially decreases correspond to the initial cap partially occurring in the inside hemisphere (i.e. the hemisphere opposite the bouquet site). B. The same four examples but showing how dout changes with time. In contrast to dmax, dout decreases as the bouquet forms, reaching a minimum upon bouquet completion. The theoretical minimum (dout = 0) is only attained if the bouquet site is directly opposite the centre of the anther. C. Maximum average telomere cluster distance (as a fraction of the nuclear radius), dmax, against the number of telomere clusters, N, for Ph1− meiocytes. D. Average telomere cluster distance to outside pole (as a fraction of the nuclear radius), dout, against the number of telomere clusters, N, for Ph1− meiocytes. The blue lines show the average values of dout and dmax given by the deterministic pure-drift model.