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Finite population analysis of the effect of horizontal gene transfer on the origin of an universal and optimal genetic code

机译:对水平基因转移对通用遗传密码和最佳遗传密码的起源的影响的有限种群分析

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The origin of a universal and optimal genetic code remains a compelling mystery in molecular biology and marks an essential step in the origin of DNA and protein based life. We examine a collective evolution model of genetic code origin that allows for unconstrained horizontal transfer of genetic elements within a finite population of sequences each of which is associated with a genetic code selected from a pool of primordial codes. We find that when horizontal transfer of genetic elements is incorporated in this more realistic model of code-sequence coevolution in a finite population, it can increase the likelihood of emergence of a more optimal code eventually leading to its universality through fixation in the population. The establishment of such an optimal code depends on the probability of HGT events. Only when the probability of HGT events is above a critical threshold, we find that the ten amino acid code having a structure that is most consistent with the standard genetic code (SGC) often gets fixed in the population with the highest probability. We examine how the threshold is determined by factors like the population size, length of the sequences and selection coefficient. Our simulation results reveal the conditions under which sharing of coding innovations through horizontal transfer of genetic elements may have facilitated the emergence of a universal code having a structure similar to that of the SGC.
机译:通用和最佳遗传密码的起源仍然是分子生物学中一个令人信服的谜,并且标志着基于DNA和蛋白质的生命起源中必不可少的一步。我们研究了遗传密码起源的集体进化模型,该模型允许在有限的序列种群中无限制地水平转移遗传元件,每个序列都与从原始密码库中选择的遗传密码相关联。我们发现,将遗传元素的水平转移结合到有限群体中的这种更实际的代码序列协同进化模型中时,它可以增加出现更优代码的可能性,最终通过固定在群体中而导致其普遍性。这种最佳代码的建立取决于HGT事件的概率。仅当HGT事件的概率高于临界阈值时,我们才发现具有与标准遗传密码(SGC)最一致的结构的十个氨基酸密码通常在概率最高的人群中被固定。我们检查了阈值是如何由诸如种群大小,序列长度和选择系数之类的因素决定的。我们的模拟结果揭示了在何种条件下,通过遗传元件的水平转移来共享编码创新可能促进了具有与SGC相似结构的通用密码的出现。

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