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全球和本地基因组特征共同调节自发单核酸突变率

Akash Ajay¹, Tina Begum², Ajay Arya²

¹School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India.

Computational biology and chemistry

|June 14, 2024

概括

自发单核酸突变 (SNM) 的发生率在整个生命周期中各不相同,受基因组特征的影响,如GC含量和重复分数. 这些突变驱动因素最好通过非线性模型预测,突出突出演化复杂性.

科学领域:

基因组学就是基因组学.
进化生物学进化生物学
分子生物学分子生物学

背景情况:

自发突变,特别是单核酸突变 (SNM),是进化的基础,驱动物种化和适应.
了解影响SNM速率的基因组因素对于破译各种生命形式的进化过程至关重要.

研究的目的:

进行一项元分析,量化全球和本地基因组参数对自发性SNM率的影响.
为了研究这些影响跨 prokaryotes,单细胞真核生物和多细胞真核生物.

主要方法:

对来自不同种群的野生类型序列数据的元分析.
评估全球基因组特征 (基因组大小,GC含量,重复分数,基因数,链偏差) 和本地基因组特征 (本地GC,重复,CPG含量,CPG岛屿).
线性和非线性模型用于预测SNM速率的比较.

主要成果:

自发性SNM速率与 Prokaryotes 和单细胞真核生物中的众多基因组特征相关.
在多细胞真核生物中,只有编码基因的数量显示出相关性,主要来自脊椎动物数据.
在单细胞真核生物中,局部GC和CpG含量很重要;在 prokaryotes 和一些真核生物中,局部重复分数很重要.
非线性模型通常更适合根据这些特征预测SNM速率.
Prokaryotic 链不对称性会影响 SNM 速率,但 SNM 频谱不会.

结论:

基因组特征在不同的生命领域显著调节自发性SNM速率,重要性各不相同.
基因组特征和SNM速率之间的预测关系往往是非线性的.
这些发现为塑造基因组稳定性和多样性的进化力量提供了洞察力.

关键词:

在CpG岛上.GC内容GC内容的内容基因组复杂性基因组复杂性低复杂度地区地区.自发突变是一种突变.线程不对称性线程不对称性

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