生物分子进化中的大表型跳跃
Large phenotype jumps in biomolecular evolution
摘要：
通过定义其活性的三维形状的生物聚合物的表型，其基因型的主要序列，我们提出了一个模型，预测和表征的人口的生物聚合物的统计分布与特定的表型，起源于一个给定的基因型序列由一个单一的突变事件。根据比率g 0的特点的潜在能量的突变人口相对于温度的传播，三个不同的统计制度已被确定。我们认为，在自然界中发现的生物聚合物是在一个关键的制度与g 0在1-6的范围内，对应于一个广泛的，但不是太广泛的，表型分布类似于一个截断的利维飞行。因此，生物聚合物表型可以在仅仅几个突变中被显著地改变。所提出的模型是在良好的协议与实验分布的活动确定的人口的单突变体的组I核酶。
英文摘要：
By defining the phenotype of a biopolymer by its active three-dimensional shape, and its genotype by its primary sequence, we propose a model that predicts and characterizes the statistical distribution of a population of biopolymers with a specific phenotype, that originated from a given genotypic sequence by a single mutational event. Depending on the ratio g0 that characterizes the spread of potential energies of the mutated population with respect to temperature, three different statistical regimes have been identified. We suggest that biopolymers found in nature are in a critical regime with g0 in the range 1-6, corresponding to a broad, but not too broad, phenotypic distribution resembling a truncated Levy flight. Thus the biopolymer phenotype can be considerably modified in just a few mutations. The proposed model is in good agreement with the experimental distribution of activities determined for a population of single mutants of a group I ribozyme.
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