Plasmid stability analysis based on a new theoretical model employing stochastic simulations
Olesia Werbowy , Sławomir Werbowy , Tadeusz Kaczorowski
AbstractHere, we present a simple theoretical model to study plasmid stability, based on one input parameter which is the copy number of plasmids present in a host cell. The Monte Carlo approach was used to analyze random fluctuations affecting plasmid replication and segregation leading to gradual reduction in the plasmid population within the host cell. This model was employed to investigate maintenance of pEC156 derivatives, a high-copy number ColE1-type Escherichia coli plasmid that carries an EcoVIII restriction-modification system. Plasmid stability was examined in selected Escherichia coli strains (MG1655, wild-type; MG1655 pcnB, and hyper-recombinogenic JC8679 sbcA). We have compared the experimental data concerning plasmid maintenance with the simulations and found that the theoretical stability patterns exhibited an excellent agreement with those empirically tested. In our simulations, we have investigated the influence of replication fails (α parameter) and uneven partition as a consequence of multimer resolution fails (δ parameter), and the post-segregation killing factor (β parameter). All of these factors act at the same time and affect plasmid inheritance at different levels. In case of pEC156-derivatives we concluded that multimerization is a major determinant of plasmid stability. Our data indicate that even small changes in the fidelity of segregation can have serious effects on plasmid stability. Use of the proposed mathematical model can provide a valuable description of plasmid maintenance, as well as enable prediction of the probability of the plasmid loss.
|Other language title versions|
|Journal series||Plos One, ISSN 1932-6203, (A 40 pkt)|
|Publication size in sheets||1|
|Keywords in English||Monte Carlo method, postsegregational cell killing, plasmid persistence, restriction-modification system, plasmid multimerization, plasmid copy number|
|ASJC Classification||; ;|
|License||Journal (articles only); published final; ; with publication|
|Score|| = 35.0, ArticleFromJournal|
= 40.0, ArticleFromJournal
|Publication indicators||= 3; : 2017 = 1.111; : 2017 = 2.766 (2) - 2017=3.352 (5)|
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