The International Conference Modelling Biological Evolution 2013: Recent Progress, Current Challenges and Future Directions will be held at the University of Leicester on May 1-3, 2013. The topics sound very interesting, and are:
- Evolutionary Epidemiology of Infectious Disease
- Models of Somatic Evolution of Cancer
- Evolutionary Population Ecology
- Models in Behavioural Ecology and Sociobiology
- Solving Social Dilemmas
- Models of Evolution of Language
- Population and Quantitative Genetics
I have been invited to contribute a talk and will give a talk with the following title and abstract:
Adaptation for protein synthesis efficiency in natural and artificial gene regulatory networks
Dorota Herman, Dafyd Jenkins, Chris Thomas and Dov Stekel
In this talk, we will summarize work on the use of mathematical and computer models to explore the evolution and adaptation of gene regulatory network architectures.
First, we will look at a natural system, the korAB operon in RK2 plasmids, which is a beautiful natural example of a negatively and cooperatively self-regulating operon. We use a biologically grounded mechanistic multi-scale stochastic model to compare four hypotheses for the action of the regulatory mechanism: increased robustness to extrinsic factors, decreased protein fluctuations, faster response-time of the operon and reduced host burden through improved efficiency of protein production. We find that the strongest impact of all elements of the regulatory architecture is on improving the efficiency of protein synthesis by reduction in the number of mRNA molecules needed to be produced, leading to a greater than ten-fold reduction in host energy required to express these plasmid proteins.
Next, we summarize results from two different artificial gene regulatory network models that are free to evolve: a fine-grained model that allows detailed molecular interactions, and a coarse-grained model that allows rapid evolution of many generations. A similar theme emerges in these models too: the control of cell energy and resources is a major driver of gene network topology and function. This is demonstrated in the fine-grained model with the emergence of biologically realistic mRNA and protein turnover rates that optimize energy usage and cell division time, and the evolution of basic repressor activities, and in the coarse-grained model by emergence of global regulators keeping all cellular systems under negative control.o
So far as I am aware, the conference organizers have extended their registration deadline, so places are still available for the next few days.