Analysis of mutational effects of parameters on the phenotype (i. e

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Analysis of mutational effects of parameters on the phenotype (i. e Analysis of mutational effects of parameters on the phenotype (i.e., level of protein G) in genotypes with increasing value of N. This analysis shows that as N increases, so does (i) the diversity in the expression level of G and (ii) the phenotypic effects of a given mutational increment in other parameters. Analysis of mutational effects of parameters on the phenotype (i.e., level of protein G) in genotypes with increasing value of N. This analysis shows that as N increases, so does (i) the diversity in the expression level of G and (ii) the phenotypic effects of a given mutational increment in other parameters. Rows from top to bottom show phenotypic effects of mutations in parameters b, a and KD, respectively. Columns from left to right show genotypes with increasing value of N as indicated at the top. The x axis on each panel gives the level of protein G, while the y axis gives the deviation in a particular system parameter based on its mutational increment in the evolutionary simulations (see Materials and methods). The initial parameter is the middle point of the y axis (i.e., zero deviation) and the upper and lower halves of each panel correspond to mutational deviations from that value. The basal values used on each panel are the same; b=1.8, a=0.8 and KD=50 (different basal values gave similar qualitative results as those shown). For each value of the parameter given on the y axis, we run 1000 independent simulations for 10 generations and encoded in color the number of simulations that converged to the corresponding level of G indicated on the x axis. Solid dots correspond to simulations run with the deterministic phenotype. Hiroyuki Kuwahara, and Orkun S Soyer Mol Syst Biol 2012;8:564 © as stated in the article, figure or figure legend