PubMed Health⌕ Search

Biomedical subjects

Jon Saunders

Publications and source records attributed to Jon Saunders.

2 recordsLinked to original sources

Evolvable social agents for bacterial systems modeling.

We present two approaches to the individual-based modeling (IbM) of bacterial ecologies and evolution using computational tools. The IbM approach is introduced, and its important complementary role to biosystems modeling is discussed. A fine-grained model of bacterial evolution is then presented that is based on networks of interactivity between computational objects representing genes and proteins. This is followed by a coarser grained agent-based model, which is designed to explore the evolvability of adaptive behavioral strategies in artificial bacteria represented by learning classifier systems. The structure and implementation of the two proposed individual-based bacterial models are discussed, and some results from simulation experiments are presented, illustrating their adaptive properties.

Adaptation, Physiological↗

The potential of site-specific recombinases as novel reporters in whole-cell biosensors of pollution.

DNA recombinases show some promise as reporters of pollutants providing that appropriate promoters are used and that the apparent dependence of expression on cell density can be solved. Further work is in progress using different recombinases and other promoters to optimize recombinase expression as well as to test these genetic constructs in contaminated environmental samples such as soil and water. It may be that a graded response reflecting pollutant concentration may not be possible. However, they show great promise for providing definitive detection systems for the presence of a pollutant and may be applicable to address the problem of bioavailability of pollutants in complex environments such as soil.

Bacteria↗