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Modeling non-equilibrium population using variable-chromosome-length genetic algorithm

机译:使用可变染色体长度遗传算法建模非平衡种群

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Codon usage bias is the preferential use of synonymous codons. First models that studied this phenomenon assumed that the population is at mutation-selection-drift equilibrium, but more advanced models were proposed later to incorporate demographic changes. One of these models proposed by Zeng and Charlesworth represents the evolutionary process by a Markov model, allowing for changes in the population size. Their model is, however, too simple to reflect many realistic demographic changes. In this paper, we extend their model by allowing complex demographies with many changes in population size. Such extension requires a more powerful optimization algorithm compared with the simple one used in the model proposed by Zeng and Charlesworth. The optimization algorithm we use is a version of the genetic algorithm that we develop particularly for this purpose. We validate our method using simulated data.
机译:密码子使用偏向是同义密码子的优先使用。研究此现象的第一个模型假定种群处于突变选择漂移均衡状态,但后来提出了更高级的模型来纳入人口变化。曾(Zeng)和查尔斯沃思(Charlesworth)提出的这些模型之一代表了马尔可夫模型的演化过程,允许人口规模的变化。但是,他们的模型过于简单,无法反映许多现实的人口变化。在本文中,我们通过允许人口规模发生许多变化的复杂人口统计信息扩展了他们的模型。与Zeng和Charlesworth提出的模型中使用的简单算法相比,这种扩展需要更强大的优化算法。我们使用的优化算法是我们为此专门开发的遗传算法的一种版本。我们使用模拟数据验证了我们的方法。

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