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Table 3 Least-squares fit of a Pareto function to the distribution of small effects on fitness

From: Phenotypic effect of mutations in evolving populations of RNA molecules

 

Pareto[k, a]

% of mutations

μ = 0.001, B Optimized

k = 0.0202 ± 0.0003

88.1

 

a = 0.848 ± 0.014

R2 = 0.998

μ = 0.004, B Optimized

k = 0.0210 ± 0.0010

88.6

 

a = 0.812 ± 0.043

R2 = 0.981

μ = 0.001, B Adapting

k = 0.0205 ± 0.0006

94.7

 

a = 1.065 ± 0.048

R2 = 0.988

μ = 0.004, B Adapting

k = 0.0210 ± 0.0011

94.6

 

a = 0.960 ± 0.065

R2 = 0.971

μ = 0.001, D Optimized

k = 0.0212 ± 0.0010

62.0

 

a = 0.393 ± 0.015

R2 = 0.987

μ = 0.004, D Optimized

k = 0.0233 ± 0.0016

70.2

 

a = 0.446 ± 0.027

R2 = 0.967

μ = 0.001, D Adapting

k = 0.0216 ± 0.0011

71.0

 

a = 0.475 ± 0.020

R2 = 0.983

μ = 0.004, D Adapting

k = 0.198 ± 0.0015

80.1

 

a = 0.586 ± 0.036

R2 = 0.967

  1. The Pareto probability distribution function fits the numerically obtained distributions of small effects in all situations studied. Here we show the parameters yielded by the least-squares fit, the R-squared value, and the fraction (in percent) of mutations which affect fitness up to 22% (small effect).