The polyphyletic origins of glycyl-tRNA synthetase and lysyl-tRNA synthetase and their implications

IF 2 4区 生物学 Q2 BIOLOGY
Massimo Di Giulio
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引用次数: 0

Abstract

I analyzed the polyphyletic origin of glycyl-tRNA synthetase (GlyRS) and lysyl-tRNA synthetase (LysRS), making plausible the following implications. The fact that the genetic code needed to evolve aminoacyl-tRNA synthetases (ARSs) only very late would be in perfect agreement with a late origin, in the main phyletic lineages, of both GlyRS and LysRS. Indeed, as suggested by the coevolution theory, since the genetic code was structured by biosynthetic relationships between amino acids and as these occurred on tRNA-like molecules which were evidently already loaded with amino acids during its structuring, this made possible a late origin of ARSs. All this corroborates the coevolution theory of the origin of the genetic code to the detriment of theories which would instead predict an early intervention of the action of ARSs in organizing the genetic code. Furthermore, the assembly of the GlyRS and LysRS protein domains in main phyletic lineages is itself at least evidence of the possibility that ancestral genes were assembled using pieces of genetic material that coded these protein domains. This is in accordance with the exon theory of genes which postulates that ancestral exons coded for protein domains or modules that were assembled to form the first genes. This theory is exemplified precisely in the evolution of both GlyRS and LysRS which occurred through the assembly of protein domains in the main phyletic lineages, as analyzed here. Furthermore, this late assembly of protein domains of these proteins into the two main phyletic lineages, i.e. a polyphyletic origin of both GlyRS and LysRS, appears to corroborate the progenote evolutionary stage for both LUCA and at least the first part of the evolutionary stages of the ancestor of bacteria and that of archaea. Indeed, this polyphyletic origin would imply that the genetic code was still evolving because at least two ARSs, i.e. proteins that make the genetic code possible today, were still evolving. This would imply that the evolutionary stages involved were characterized not by cells but by protocells, that is, by progenotes because this is precisely the definition of a progenote. This conclusion would be strengthened by the observation that both GlyRS and LysRS originating in the phyletic lineages leading to bacteria and archaea, would demonstrate that, more generally, proteins were most likely still in rapid and progressive evolution. Namely, a polyphyletic origin of proteins which would qualify at least the initial phase of the evolutionary stage of the ancestor of bacteria and that of archaea as stages belonging to the progenote.

甘氨酰-tRNA 合成酶和赖氨酰-tRNA 合成酶的多态起源及其影响。
我分析了甘氨酰-tRNA 合成酶(GlyRS)和赖氨酰-tRNA 合成酶(LysRS)的多态起源,得出了以下可信的结论。氨基酰-tRNA 合成酶(ARSs)的遗传密码很晚才需要进化,这与 GlyRS 和 LysRS 很晚才起源于主要植物系这一事实完全吻合。事实上,正如共同进化理论所指出的那样,由于遗传密码是由氨基酸之间的生物合成关系构成的,而且这些关系发生在类似 tRNA 的分子上,而这些分子在构成遗传密码的过程中显然已经含有氨基酸,这就使得 ARS 的起源很晚成为可能。所有这些都证实了遗传密码起源的共同进化理论,而不利于那些预测 ARS 早期介入组织遗传密码的理论。此外,GlyRS 和 LysRS 蛋白结构域在主要植物系中的组装本身至少证明了这样一种可能性,即祖先基因是利用编码这些蛋白结构域的遗传物质片段组装而成的。这与基因的外显子理论是一致的,该理论假定祖先的外显子编码蛋白质结构域或模块,这些蛋白质结构域或模块组装在一起形成了最初的基因。正如本文所分析的,GlyRS 和 LysRS 的进化正是这一理论的例证,它们都是通过在主要植物系中组装蛋白质结构域而发生的。此外,这些蛋白质的蛋白质域在两个主要植物系中的晚期组装,即 GlyRS 和 LysRS 的多型起源,似乎证实了 LUCA 的原生演化阶段,以及细菌祖先和古细菌祖先演化阶段的至少第一部分。事实上,这种多态起源意味着遗传密码仍在进化,因为至少有两种 ARS(即今天使遗传密码成为可能的蛋白质)仍在进化。这就意味着所涉及的进化阶段的特征不是细胞,而是原细胞,即原生细胞,因为这正是原生细胞的定义。这一结论将通过以下观察得到加强:起源于细菌和古细菌的植物系中的 GlyRS 和 LysRS 都表明,从更广泛的意义上讲,蛋白质很可能仍处于快速和渐进的进化过程中。也就是说,蛋白质的多态起源至少使细菌和古细菌祖先进化阶段的初始阶段成为属于原生生物的阶段。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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