Circular cut codes in genetic information

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-07-04 DOI:10.1016/j.biosystems.2024.105263
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Abstract

In this work we present an analysis of the dinucleotide occurrences in the three codon sites 1–2, 2–3 and 1–3, based on a computation of the codon usage of three large sets of bacterial, archaeal and eukaryotic genes using the same method that identified a maximal C3 self-complementary trinucleotide circular code X in genes of bacteria and eukaryotes in 1996 (Arquès and Michel, 1996). Surprisingly, two dinucleotide circular codes are identified in the codon sites 1–2 and 2–3. Furthermore, these two codes are shifted versions of each other. Moreover, the dinucleotide code in the codon site 1–3 is circular, self-complementary and contained in the projection of X onto the 1st and 3rd bases, i.e. by cutting the middle base in each codon of X. We prove several results showing that the circularity and the self-complementarity of trinucleotide codes is induced by the circularity and the self-complementarity of its dinucleotide cut codes. Finally, we present several evolutionary approaches for an emergence of trinucleotide codes from dinucleotide codes.

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遗传信息中的循环切割代码
在这项工作中,我们使用 1996 年 Arquès 和 Michel(1996 年)在细菌和真核生物基因中发现最大 C3 自互补三核苷酸循环码 X 的相同方法,计算了三组大型细菌、古生物和真核生物基因的密码子使用情况,并在此基础上对 1-2、2-3 和 1-3 三个密码子位点中出现的二核苷酸进行了分析。令人惊讶的是,在密码子位点 1-2 和 2-3 中发现了两个二核苷酸循环密码。而且,这两个代码是彼此移动的版本。此外,密码子位点 1-3 中的二核苷酸编码是环形的、自互补的,包含在 X 在第 1 和第 3 个碱基上的投影中,即通过切割 X 每个密码子中的中间碱基。我们证明了几个结果,表明三核苷酸编码的环形性和自互补性是由其二核苷酸切割编码的环形性和自互补性引起的。最后,我们提出了从二核苷酸编码演化出三核苷酸编码的几种方法。
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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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