估计体细胞突变率的瓶颈双工测序在非模式生物:大水蚤为例研究

E. Sobel, J. Coate, S. Schaack
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引用次数: 0

摘要

体细胞突变作为个体有机体适应性的决定因素在进化上是重要的,同时也是与年龄有关的疾病(如癌症)临床研究的焦点。然而,鉴定体细胞突变和量化突变率是极具挑战性的,全基因组体细胞突变率只报道了少数模式生物。在这里,我们描述了双工测序在瓶颈WGS文库上的应用,以量化大水蚤(Daphnia magna)全基因组体细胞碱基替换率。水蚤,历史上是一个生态模型系统,最近成为突变研究的焦点,部分原因是它的高种系突变率。使用我们的方案和管道,我们估计体细胞突变率为2.14 × 10−7个替换每个位点(在一个基因型中,种系率为3.60 × 10−9个替换每代每个位点)。为了得到这个估计值,我们测试了多个稀释水平以最大限度地提高测序效率,并开发了生物信息学过滤器,以在没有高质量参考基因组时最大限度地减少假阳性。除了为估计D. magna体细胞突变率的基因型变异奠定基础之外,我们还为量化其他非模型系统中的体细胞突变提供了一个框架,并强调了单分子测序的最新创新,这将有助于进一步完善此类估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating somatic mutation rates by bottlenecked duplex sequencing in non-model organisms: Daphnia magna as a case study
Somatic mutations are evolutionarily important as determinants of individual organismal fitness, as well as being a focus of clinical research on age-related disease, such as cancer. Identifying somatic mutations and quantifying mutation rates, however, is extremely challenging and genome-wide somatic mutation rates have only been reported for a few model organisms. Here, we describe the application of Duplex Sequencing on bottlenecked WGS libraries to quantify genome-wide somatic base substitution rates in Daphnia magna. Daphnia, historically an ecological model system, has more recently been the focus of mutation studies, in part because of its high germline mutation rates. Using our protocol and pipeline, we estimate a somatic mutation rate of 2.14 × 10−7 substitutions per site (in a genotype where the germline rate is 3.60 × 10−9 substitutions per site per generation). To obtain this estimate, we tested multiple dilution levels to maximize sequencing efficiency, and developed bioinformatic filters needed to minimize false positives when a high quality reference genome is not available. In addition to laying the groundwork for estimating genotypic variation in rates of somatic mutations within D. magna, we provide a framework for quantifying somatic mutations in other non-model systems, and also highlight recent innovations to single molecule sequencing that will help to further refine such estimates.
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