<p><b>A</b>) Mean number of mutations per chromosome equilibrium across simulations as a function of . , , and . Missing points present parameter values for which no populations were viable. <b>B</b>) Mean population size at first fixation of deleterious mutations for populations greater than individuals as a function of . in grey, in black. , and .</p
<p>The mean fitness <i>W</i> of each population as a function of genetic map length per chromosome <...
Evolution proceeds as the result of a balance between a few basic processes: mutation, selection, mi...
<p>(A) Evolution is assumed to select in a threshold manner for properties such as folding, stabilit...
<p>The fixation number of mutations in simulation as a function of the dominance coefficient <i>h</i...
<p>The fixation number of deleterious mutations as a function of genetic map length per chromosome <...
<p>For each combination of <i>U</i> ( = 0.1, 0.3, and 0.5) and <i>s</i> ( = 0.01 and 0.1), simulatio...
<p>Black circles indicate allocation to reproduction e(x) for a non-mutated phenotype (solid line) a...
<p>Simulation results are illustrated for populations under complete selfing (<i>S</i> = 1; broken l...
<p>Each square represents a set of simulations with identical gene expression noise level and mutati...
<p>The scaled probability of fixation of a beneficial mutation, , plotted as a function of the stren...
<p>Dark grey are populations evolved in the benign environment and light grey are the populations ev...
<p><b>A.</b> The three genetic arrangements, in simulated diploid chromosomes. Key measurements of e...
<p>Here is the dominance parameter, as described in the section entitled Fitness Calculation. The s...
<p>The dark gray bars (left) represent the mean final fitness of populations that evolve under each ...
<p>For all five parameter combinations, we use <i>c</i> = 10<sup>−11</sup>. Most simulations reach e...
<p>The mean fitness <i>W</i> of each population as a function of genetic map length per chromosome <...
Evolution proceeds as the result of a balance between a few basic processes: mutation, selection, mi...
<p>(A) Evolution is assumed to select in a threshold manner for properties such as folding, stabilit...
<p>The fixation number of mutations in simulation as a function of the dominance coefficient <i>h</i...
<p>The fixation number of deleterious mutations as a function of genetic map length per chromosome <...
<p>For each combination of <i>U</i> ( = 0.1, 0.3, and 0.5) and <i>s</i> ( = 0.01 and 0.1), simulatio...
<p>Black circles indicate allocation to reproduction e(x) for a non-mutated phenotype (solid line) a...
<p>Simulation results are illustrated for populations under complete selfing (<i>S</i> = 1; broken l...
<p>Each square represents a set of simulations with identical gene expression noise level and mutati...
<p>The scaled probability of fixation of a beneficial mutation, , plotted as a function of the stren...
<p>Dark grey are populations evolved in the benign environment and light grey are the populations ev...
<p><b>A.</b> The three genetic arrangements, in simulated diploid chromosomes. Key measurements of e...
<p>Here is the dominance parameter, as described in the section entitled Fitness Calculation. The s...
<p>The dark gray bars (left) represent the mean final fitness of populations that evolve under each ...
<p>For all five parameter combinations, we use <i>c</i> = 10<sup>−11</sup>. Most simulations reach e...
<p>The mean fitness <i>W</i> of each population as a function of genetic map length per chromosome <...
Evolution proceeds as the result of a balance between a few basic processes: mutation, selection, mi...
<p>(A) Evolution is assumed to select in a threshold manner for properties such as folding, stabilit...