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BY-NC-ND 4.0 license Open Access Published by De Gruyter Open Access December 1, 2014

Properties of Topological Networks of Flexible Polygonal Chains

  • J. Arsuaga EMAIL logo , Y. Diao , M. Klingbeil and V. Rodriguez

Abstract

Trypanosomatida parasites, such as Trypanosoma and Leishmania, are the cause of deadly diseases in many third world countries. The three dimensional structure of their mitochondrial DNA, known as kinetoplast DNA (kDNA), is unique since it is organized into several thousands of minicircles that are topologically linked. How and why the minicircles form such a network have remained unanswered questions. In our previous work we have presented a model of network formation that hypothesizes that the network is solely driven by the confinement of minicircles. Our model shows that upon confinement a percolation network forms. This network grows into a space filling network, called saturation network, upon further confinement of minicircles. Our model also shows, in agreement with experimental data, that the mean valence of the network (that is, the average number of minicircles topologically linked to any minicircle in the network) grows linearly with minicircle density. In our previous studies however we disregarded DNA flexibility and used rigid minicircles to model DNA, here we address this limitation by allowing minicircles to be flexible. Our numerical results show that the topological characteristics that describe the growth and topology of the minicircle networks have similar values to those observed in the case of rigid minicircles suggesting that these properties are robust and therefore a potentially adequate description of the networks observed in Trypanosomatid parasites.

MSC 2010: 57M25; 92B99

References

[1] J. Arsuaga, Y. Diao, and K. Hinson. The effect of angle restriction on the topological characteristics of minicircle networks. J. Statist. Phys., 146(2):434-445, 2012.10.1007/s10955-011-0386-5Search in Google Scholar

[2] J. Chen, P. T. Englund, and N. R. Cozzarelli. Changes in network topology during the replication of kinetoplast DNA. EMBO J., 14(24):6339-6347, 1995.10.1002/j.1460-2075.1995.tb00325.xSearch in Google Scholar

[3] J. Chen, C. A. Rauch, J. H. White, P. T. Englund, and N. R. Cozzarelli. The topology of the kinetoplast DNA network. Cell, 80(1):61-69, 1995.10.1016/0092-8674(95)90451-4Search in Google Scholar

[4] Y. Diao, K. Hinson, and J. Arsuaga. The growth of minicircle networks on regular lattices. J. Phys. A: Math. Theor, 45:doi:10.1088/1751-8113/45/3/035004, 2012.Search in Google Scholar

[5] Y. Diao, K. Hinson, R. Kaplan, M. Vazquez, and J. Arsuaga. The effects of minicircle density on the topological structure of the mitochondrial DNA from trypanosomes. J. Math. Biol., 64(6):1087-1108, 2012.10.1007/s00285-011-0438-0Search in Google Scholar

[6] M. Ferguson, A. F. Torri, D. C. Ward, and P. T. Englund. In situ hybridization to the crithidia fasciculata kinetoplast reveals two antipodal sites involved in kinetoplast DNA replication. Cell, 70:621-629, 1992.10.1016/0092-8674(92)90431-BSearch in Google Scholar

[7] Rafael Lozano et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. The Lancet, 380(9859):2095-2128, 2013.Search in Google Scholar

[8] C. A. Rauch, D. Perez-Morga, N. R. Cozzarelli, and P. T. Englund. The absence of supercoiling in kinetoplast DNA minicircles. EMBO J., 12(2):403-411, 1993.10.1002/j.1460-2075.1993.tb05672.xSearch in Google Scholar PubMed PubMed Central

[9] V Rodriguez, Y Diao, and J Arsuaga. Percolation phenomena in disordered topological networks. Journal of Physics: Conference Series, 454(1):012070, 2013.10.1088/1742-6596/454/1/012070Search in Google Scholar

[10] Robert G. Scharein. KnotPlot. http://www.knotplot.com. Program for drawing, visualizing, manipulating, and energy minimizing knots.Search in Google Scholar

[11] T. A. Shapiro and P. T. Englund. The structure and replication of kinetoplast DNA. Annu. Rev. Microbiol., 49:117-143, 1995.10.1146/annurev.mi.49.100195.001001Search in Google Scholar PubMed

[12] Pere P Simarro, Giuliano Cecchi, José R Franco, Massimo Paone, Abdoulaye Diarra, José Antonio Ruiz-Postigo, Eric M Fèvre, Raffaele C Mattioli, and Jean G Jannin. Estimating and mapping the population at risk of sleeping sickness. PLoS neglected tropical diseases, 6(10):e1859, 2012.10.1371/journal.pntd.0001859Search in Google Scholar PubMed PubMed Central

[13] M. Spera. A survey on the differential and symplectic geometry of linking numbers. Milan J. Math., 74:139-197, 2006.10.1007/s00032-006-0061-5Search in Google Scholar

[14] R. Varela, K. Hinson, J. Arsuaga, and Y. Diao. A fast ergodic algorithm for generating ensembles of equilateral random polygons. J. Phys. A, 42(9):1-13, 2009.10.1088/1751-8113/42/9/095204Search in Google Scholar

[15] A. V. Vologodskii. DNA supercoiling helps to unlink sister duplexes after replication. BioEssays, 32:9-12, 2010.10.1002/bies.200900143Search in Google Scholar PubMed PubMed Central

[16] A. V. Vologodskii and N. R. Cozzarelli. Monte carlo analysis of the conformation of DNA catenanes. J. Mol. Biol., 232:1130- 1140, 1993.10.1006/jmbi.1993.1465Search in Google Scholar PubMed

[17] A. V. Vologodskii and V. Rybenkov. Simulation of DNA catenanes. Phys. Chem. Chem. Phys., 11:10543-10552, 2009.10.1039/b910812bSearch in Google Scholar PubMed PubMed Central

Received: 2013-08-14
Accepted: 2014-09-29
Published Online: 2014-12-01
Published in Print: 2014-01-01

© 2019 J. Arsuaga, et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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