Two Models of Population Genetics

The production of proteins in a cell is a regulated process. This means that the cell will only produce a type of protein when that type is needed. A fundamental step where this regulation occurs is at gene transcription. It is observed that transcription is regulated differently for different genes, and the question is therefore asked: why has evo-lution come up with different modes of transcriptional regulation for different genes? Mathematical models of biological evolution are important for two reasons: 1) aiding researchers in understanding how complex biologi-cal systems have emerged and 2) enabling modelers to predict future outcomes of evolution. In this work, models of evolution of natural populations are applied to better understand the mechanisms of gene regulation in E. coli by investigating two predictor arguments of gene regulatory mode, namely the demand rule and the rule of minima