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遗传密码子错误最小化作为一种非适应性但有益的特征。

Genetic Code Error Minimization as a Non-Adaptive But Beneficial Trait.

机构信息

Biology Department, University of Puerto Rico - Rio Piedras, San Juan, PR, 00931, USA.

出版信息

J Mol Evol. 2019 Jan;87(1):4-6. doi: 10.1007/s00239-018-9880-6. Epub 2019 Jan 2.

Abstract

In a recent Letter, Di Giulio questions the use of the term 'neutral' when describing the process by which error minimization may have arisen as a side-product of genetic code expansion, resulting from the addition of similar amino acids to similar codons (Di Giulio, in J Mol Evol 86(9):593-597, 2018). However, I point out that in this scenario error minimization is non-adaptive, and so 'neutral' is an appropriate term to describe its imperviousness to direct selection. Error minimization is a form of mutational robustness, and so commonly viewed as beneficial. This in turn implies that not all beneficial traits may be adaptations generated by direct selection for that trait.

摘要

在最近的一封信中,迪朱利奥质疑在描述遗传密码扩展过程中可能作为副产品产生的最小化错误时使用“中性”这个术语,因为相似的氨基酸被添加到相似的密码子中(Di Giulio,J Mol Evol 86(9):593-597, 2018)。然而,我指出,在这种情况下,最小化错误是非适应性的,因此“中性”是描述其不受直接选择影响的一个合适术语。最小化错误是一种突变稳健性形式,因此通常被视为有益的。这反过来意味着,并非所有有益的特征都可能是通过直接选择该特征产生的适应性。

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