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通过测序简化代表性文库检测新生突变。

Detection of De Novo Mutations by Sequencing Reduced Representation Libraries.

作者信息

Ueno Saneyoshi, Hasegawa Yoichi, Kato Shuri, Uchiyama Kentaro, Kaneko Shingo

机构信息

Department of Forest Molecular Genetics and Biotechnology, Forestry and Forest Products Research Institute, Tsukuba, Japan.

Tama Forest Science Garden, Forestry and Forest Products Research Institute, Hachioji, Japan.

出版信息

Methods Mol Biol. 2025;2933:99-111. doi: 10.1007/978-1-0716-4574-1_14.

Abstract

De novo mutations (DNMs) are spontaneous genetic alterations not present in parents but occurring in the germline and transmitted to offspring. These mutations play a vital role in understanding evolutionary processes, genetic diversity, and impacts on species' fitness and survival. The identification of DNMs is especially crucial in the context of environmental stresses, such as those induced by nuclear accidents like Fukushima. This chapter describes recent advances in high-throughput sequencing technologies that have enhanced our capacity to detect DNMs within a single generation. Due to challenges associated with whole-genome resequencing in nonmodel organisms with high genetic and environmental heterogeneity, we proposed the use of genetic marker-based methods like Restriction site-Associated DNA Sequencing (RADSeq). RADSeq simplifies the detection of DNMs by using restriction enzymes to cut DNA at specific sites, producing manageable fragments for sequencing that represent the entire genome. This method allows for the targeted analysis of genetic variations across large populations and is particularly effective in detecting DNMs from wide range of populations, providing insight into damages and adaptations required for different biological conditions.

摘要

新生突变(DNMs)是父母体内不存在的自发遗传改变,发生在生殖系中并传递给后代。这些突变在理解进化过程、遗传多样性以及对物种适应性和生存的影响方面起着至关重要的作用。在诸如福岛核事故等环境压力的背景下,DNMs的识别尤为关键。本章描述了高通量测序技术的最新进展,这些进展提高了我们在单代内检测DNMs的能力。由于在具有高遗传和环境异质性的非模式生物中进行全基因组重测序存在挑战,我们提出使用基于遗传标记的方法,如限制性位点相关DNA测序(RADSeq)。RADSeq通过使用限制性酶在特定位点切割DNA来简化DNMs的检测,产生可管理的片段用于测序,这些片段代表整个基因组。该方法允许对大量群体的遗传变异进行靶向分析,并且在检测来自广泛群体的DNMs方面特别有效,从而深入了解不同生物学条件下所需的损伤和适应性。

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