Synopsis
The success of plasmids as stably inherited, autonomously replicating units depends on control circuits that ensure that positive events such as replication occur efficiently at a set average frequency and that the genetic load carried by the plasmid is at minimal metabolic cost to the host. While selective pressure has ensured that natural plasmids do achieve this, the wish to exploit plasmids or interfere with their survival mechanisms for biotechnological applications means that we need to understand the critical features that are needed for success. Mathematical modeling of the intracellular control circuits can help to explore different systems and to distinguish between key parameters and those whose variation will have little effect on the system. The relatively low complexity of plasmids makes them ideal systems to model and they also provide suitable systems to test prediction from the models. In the past, plasmid modeling has particularly focused on the ColE1 and R1...
References
Atai MM, Shuler ML (1986) Mathematical model for the control of ColE1 type plasmid replication. Plasmid 16:204–212
Brendel V, Perelson AS (1993) Quantitative model of ColE1 plasmid copy number control. J Mol Biol 229:860–872
Chen KC, Calzone L, Csikasz-Nagy A, Cross FR, Novak B, Tyson JJ (2004) Integrative analysis of cell cycle control in budding yeast. Mol Biol Cell 15:3841–3862
Ehrenberg M, Sverredal A (1995) A model for copy number control of the plasmid R1. J Mol Biol 246:472–485
Herman D, Thomas CM, Stekel DJ (2011) Global transcription regulation of RK2 plasmids: a case study in the combined use of dynamical mathematical models and statistical inference for integration of experimental data and hypothesis exploration. BMC Syst Biol 5:119
Herman D, Thomas CM, Stekel DJ (2012) Adaptation for protein synthesis efficiency in a naturally occurring self-regulating operon. PLoS One 7(11):e49678
Lee SB, Bailey JE (1984) A mathematical model for ldv plasmid replication: analysis of wild-type plasmid. Plasmid 11:151–165
Nordström K, Molin S, Aagard-Hansen H (1980) Partitioning of plasmid R1 in Escherichia coli I. Kinetic loss of plasmid derivatives deleted of the par region. Plasmid 4:215–227
Paulsson J, Ehrenberg M (1998) Trade-off between segregational stability and metabolic burden: a mathematical model of plasmid ColE1 replication control. J Mol Biol 279:73–88
Paulsson J, Ehrenberg M (2000) Molecular clocks reduce plasmid loss rates: the R1 case. J Mol Biol 297:179–192
Paulsson J, Nordstrom K, Ehrenberg M (1998) Requirements for rapid plasmid ColE1 copy number adjustments: a mathematical model of inhibition modes and RNA turnover rates. Plasmid 39:215–234
Perelson AS, Brendel V (1989) Kinetics of complementary RNA-RNA interaction involved in plasmid ColE1 copy number control. J Mol Biol 208:245–255
Womble DD, Rownd RH (1986) Regulation of IncFII plasmid DNA replication: a quantitative model for control of plasmid NR1 replication in the bacterial cell cycle. J Mol Biol 192:529–548
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this entry
Cite this entry
Stekel, D.J. (2014). Modeling Plasmid Regulatory Systems. In: Bell, E. (eds) Molecular Life Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6436-5_573-4
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6436-5_573-4
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-6436-5
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences