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FITNESS SPECTRUM AMONG RANDOM MUTANTS ON MT FUJI-TYPE FITNESS LANDSCAPE

机译:MT FUJI型健身景观中随机变异的健身频谱

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Statistical properties of a Mt. Fuji-type fitness landscape on a multi-valued sequence space were analysed. We constructed the model landscape based on additivity of the free energy contributed by each residue on a biopolymer, introducing ''tolerance functions'' that describe tolerance to residue substitution at each site. The fitness spectrum among a random mutant population around a wild-type sequence was theoretically obtained as the probability density distribution function of fitness. As the Hamming distance from the wild-type to the mutants increases, the mean fitness of the mutant population gradually decreases, and the variance of the fitness increases. These features are originated from the anisotropy of the landscape. On the assumption that the free energy is statistically additive around a wild-type in a sequence space of a real biopolymer, one can estimate the Hamming distance from the wild-type to the optimal biopolymer and the fitness of the optimum. Two sets of experimental data were analysed: (1) a promoter strength spectrum of a mutant population produced by the random mutagenesis of a wild-type lac promoter; (2) four stepwise optimization processes of different peptide mixtures evaluated with ligand binding affinity. Analysis of both experiments showed the compatibility with the hypothesis that local fitness landscapes around contemporary biopolymers are near Mt. Fuji-type. The mean slope of each of the four affinity landscapes for (2) was estimated as Delta In (K) over bar(d)/Delta d = 1.3 similar to 2.3, where d denotes the Hamming distance from the optimum and (K) over bar(d) represents the mean dissociation constant of sequences located at the Hamming distance of d. Mt. Fuji-type landscape can be regarded as a zero-th order approximation to the real local landscape just like an ''ideal gas''. We showed a method to gauge statistically the shape of a near Mt. Fuji-type landscape by measuring mutant fitness spectra. (C) 1996 Academic Press Limited [References: 27]
机译:山的统计属性。分析了多值序列空间上的富士型健身景观。我们基于生物聚合物上每个残基贡献的自由能的可加性,构建了模型图景,引入了描述每个位置对残基取代的耐受性的“耐受功能”。理论上获得了野生型序列周围的随机突变种群之间的适​​应度谱,作为适应度的概率密度分布函数。随着从野生型到突变体的汉明距离的增加,突变体种群的平均适应度逐渐降低,适应度的方差也增加。这些特征源自景观的各向异性。假设自由能在真实生物聚合物的序列空间中在野生型周围统计地相加,则可以估算从野生型到最佳生物聚合物的汉明距离以及最佳适应性。分析了两组实验数据:(1)通过随机诱变野生型lac启动子产生的突变体的启动子强度谱; (2)用配体结合亲和力评估不同肽混合物的四个逐步优化过程。对这两个实验的分析表明,该假设与当代生物聚合物周围的局部适宜景观接近Mt的假设相吻合。富士型。对于(2)的四个亲和力景观中的每一个的平均斜率估计为bar(d)/ Delta d = 1.3上的Delta In(K),类似于2.3,其中d表示距最佳点的汉明距离,而(K)表示距最佳点的汉明距离。 bar(d)代表位于汉明距离d处的序列的平均解离常数。公吨。像“理想气体”一样,富士型景观可以被视为与真实局部景观的零阶近似。我们展示了一种统计方法来测量近山的形状。通过测量突变型适合度光谱获得富士型景观。 (C)1996 Academic Press Limited [参考号:27]

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