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Valentin Wesp¹, Günter Theißen², Stefan Schuster³

¹Department of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University Jena, Ernst-Abbe-Platz 2, 07743, Jena, Germany.

Scientific reports

|December 27, 2023

概括

DNA中的同义符号频率受到GC含量的影响,影响基因发现和开放的读取框架识别. 这项研究分析了25个遗传代码中的这些频率,揭示了信息内容的最佳GC内容.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
分子生物学分子生物学

背景情况:

在DNA中同义三重频率对于发现基因和理解基因组组成至关重要.
GC内容显著影响这些频率,特别是在停止编码子和开放读取框架.
之前的研究已经探讨了代码使用偏差,但需要对多个遗传代码进行全面的分析,作为GC内容的函数.

研究的目的:

根据它们的编码组计算所有25个遗传密码的氨基酸和停止编码频率.
分析这些频率作为伪随机DNA序列中GC含量的函数.
确定基于同名编码子的Shannon信息最大化的GC内容.

主要方法:

利用伪随机序列模型和所有25个已知的遗传代码进行分析.
计算了氨基酸和停止编码子频率作为GC含量的函数.
根据同名的编码组确定了Shannon信息内容.

主要成果:

氨基酸根据其在特定GC含量水平的最大频率被分为五组.
标准遗传密码的最大Shannon信息含量发生在43.3%的GC含量.
自然序列表现出一种偏见,即在各种类别的内部中,在各种类别的内部中,在拼接位附近的停止编码子.

结论:

GC 含量是 DNA 中同义密码子频率和氨基酸组成的关键决定因素.
观察到的信息含量的最佳GC含量与大多数真核生物的基因组参数保持一致.
在拼接部位附近停止密码子分布表明内子的功能或进化意义.

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