Estimating somatic mutation rates by bottlenecked duplex sequencing in non-model organisms: Daphnia magna as a case study.

Journal of biological methods Pub Date : 2022-11-03 eCollection Date: 2022-01-01 DOI:10.14440/jbm.2022.391
Eli Sobel, Jeremy E Coate, Sarah Schaack
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Abstract

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 somatic nuclear genome-wide 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 5.6 × 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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通过瓶颈双链测序估算非模式生物的体细胞突变率:以大型水蚤为例。
体细胞突变在生物进化过程中非常重要,是个体生物适应性的决定因素,也是癌症等老年相关疾病临床研究的重点。然而,体细胞突变的鉴定和突变率的量化极具挑战性,目前只有少数模式生物报告了全基因组体细胞突变率。在本文中,我们介绍了在瓶颈 WGS 文库上应用双链测序技术量化大型水蚤的体细胞核基因组碱基替换率。水蚤历来是一种生态模式系统,近来成为突变研究的焦点,部分原因是其生殖突变率较高。利用我们的方案和管道,我们估计体细胞突变率为每个位点 5.6 × 10-7 次替换(在基因型中,种系突变率为每代每个位点 3.60 × 10-9 次替换)。为了获得这一估计值,我们测试了多种稀释水平,以最大限度地提高测序效率,并开发了生物信息学过滤器,以便在没有高质量参考基因组的情况下最大限度地减少假阳性。除了为估算大型蜗牛体内体细胞突变率的基因型变异奠定基础外,我们还为量化其他非模式系统中的体细胞突变提供了一个框架,并重点介绍了单分子测序的最新创新,这些创新将有助于进一步完善此类估算。
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