# Evolutionary Stability

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To begin to solve this problem, we define two aspects of evolutionary stability: | To begin to solve this problem, we define two aspects of evolutionary stability: | ||

#'''Genetic Stability''' | #'''Genetic Stability''' | ||

- | #*the stability of the information encoding the system ( | + | #*the stability of the information encoding the system (i.e. the likelihood of mutations in the DNA sequence) |

#'''Performance Stability''' | #'''Performance Stability''' | ||

#*the capacity of the system to continue to function reliably given changes in the underlying DNA sequence. | #*the capacity of the system to continue to function reliably given changes in the underlying DNA sequence. |

## Revision as of 13:23, 26 August 2005

Our engineered biological systems exist inside replicating machines (i.e., living cells). Machine replication results in spontaneous errors in the genetic information encoding our systems. As engineers, we would like to be able to design systems such that performance in the face of mutation and selection is predictable. Further, we would like to either decrease or increase the susceptibility of the system to loss of function by mutation; if, for instance, we wanted a system to function only for a short period.

To begin to solve this problem, we define two aspects of evolutionary stability:

**Genetic Stability**- the stability of the information encoding the system (i.e. the likelihood of mutations in the DNA sequence)

**Performance Stability**- the capacity of the system to continue to function reliably given changes in the underlying DNA sequence.

Note that a system that was genetically stable would by default have performance stability, but not vice-versa.

Experimentally, we can evaluate methods to control the genetic and performance stability of engineered biological systems by:

- Evaluating DNA sequence design that increases or decreases the genetic and performance stability of the system
- Evaluating device and system design that increases or decreases performance stability of the system.