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. 2017 Jun 27;45(14):8190–8198. doi: 10.1093/nar/gkx556

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© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 2. — Analytical estimates indicate the existence of two replication regimes. (A) If a single ‘bottleneck’ inter-origin region (labelled by the index 1 in panels A and B) is typically the last to complete replication, T_S will be typically equal to T₁ (inter-origin distances in the example are d_i = 167 kb for all origins except d₁ = 500 kb). (B) If the replication times of all inter-origin regions are comparable, and they are considered independent and identically-distributed (iid) random variables, the distribution of T_S can be obtained by extreme-value-distribution (EVD) theory (inter-origin distances are d_i = 200 kb). Simulations of the model (blue circles), when one inter-origin distance is much larger than the others (C), and when all inter-origin distances and strengths are comparable (D), agree with the corresponding analytical calculations (red and green curves). (Origin number n = 10 origins, fork velocity = 1 kb/min, origin strength λ_i = 0.02 min ⁻¹.)

Inline graphic — Analytical estimates indicate the existence of two replication regimes. (A) If a single ‘bottleneck’ inter-origin region (labelled by the index 1 in panels A and B) is typically the last to complete replication, T_S will be typically equal to T₁ (inter-origin distances in the example are d_i = 167 kb for all origins except d₁ = 500 kb). (B) If the replication times of all inter-origin regions are comparable, and they are considered independent and identically-distributed (iid) random variables, the distribution of T_S can be obtained by extreme-value-distribution (EVD) theory (inter-origin distances are d_i = 200 kb). Simulations of the model (blue circles), when one inter-origin distance is much larger than the others (C), and when all inter-origin distances and strengths are comparable (D), agree with the corresponding analytical calculations (red and green curves). (Origin number n = 10 origins, fork velocity = 1 kb/min, origin strength λ_i = 0.02 min ⁻¹.)