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自发突变的低突变率可以通过比较整个基因组序列来检测致病基因

Mao Suganami¹, Soichi Kojima², Hideki Yoshida¹

¹Faculty of Food and Agricultural Sciences, Institute of Fermentation Sciences, Fukushima University, Fukushima, Japan.

Frontiers in plant science

|April 19, 2024

概括

研究人员使用下一代测序 (NGS) 开发了一种in silico方法,以有效地识别作物育种中的因果基因. 这种方法成功地发现了新型基因的特征,比如米的形状,加速了作物改进.

科学领域:

植物遗传学和育种.
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

从历史上看,突变育种一直被用来开发具有理想特征的作物品种.
像大米这样的作物中自发突变率很低,这给传统育种带来了挑战.
下一代测序 (NGS) 的进步为高效的基因识别提供了新的机会.

研究的目的:

提出和验证一种 in silico 方法,使用 NGS 来识别自发突变的因果基因.
为了利用全基因组比较进行高效的多形态检测和功能变异预测.
通过简化用于作物改进的有用基因的识别来加速基因组繁殖.

主要方法:

自发突变和密切相关的野生型菌株的比较全基因组测序.
在分析中识别多态性并预测它们对基因的功能影响.
通过转化进行补充试验,以确认已识别的突变物中的基因功能.

主要成果:

鉴定了四个致使米中矮粒,圆粒和无粒突变的基因.
发现了一种新型基因,Os03g0115700/LOC_Os03g02460 (SDR家族蛋白质),负责无羽毛的特征.
通过转换实验验验证了已识别的新型基因在羽毛形成中的作用.

结论:

提出的基于in silico NGS的方法对于在作物育种中快速有效的因果基因鉴定是有效的.
这种方法大大降低了NGS数据分析在识别有益突变时所需的努力.
该方法有望通过快速发现基因来加速各种作物物种的基因组繁殖.

关键词:

一个小小的.基因银行的基因银行在Silico基因隔离中突变率的变化率是如何发生的米米饭米饭米饭米饭.突变是一种自发的突变.整个基因组的序列.

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