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使用双链测序测量的人类精子突变频率和谱与基于三联体的从头突变分析相关

Frequency and spectrum of mutations in human sperm measured using duplex sequencing correlate with trio-based de novo mutation analyses

Nature 等信源发布 2024-10-08 19:42

可切换为仅中文


AbstractDe novo mutations (DNMs) are drivers of genetic disorders. However, the study of DNMs is hampered by technological limitations preventing accurate quantification of ultra-rare mutations. Duplex Sequencing (DS) theoretically has < 1 error/billion base-pairs (bp). To determine the DS utility to quantify and characterize DNMs, we analyzed DNA from blood and spermatozoa from six healthy, 18-year-old Swedish men using the TwinStrand DS mutagenesis panel (48 kb spanning 20 genic and intergenic loci).

摘要从头突变(DNM)是遗传疾病的驱动因素。然而,DNM的研究受到技术限制的阻碍,无法准确定量超罕见突变。理论上,双链测序(DS)具有<1个错误/十亿个碱基对(bp)。为了确定DS用于量化和表征DNM的效用,我们使用TwinStrand DS诱变小组(跨越20个基因和基因间位点的48 kb)分析了来自6名健康的18岁瑞典男性的血液和精子中的DNA。

The mean single nucleotide variant mutation frequency (MF) was 1.2 × 10− 7 per bp in blood and 2.5 × 10− 8 per bp in sperm, with the most common base substitution being C > T. Blood MF and substitution spectrum were similar to those reported in blood cells with an orthogonal method. The sperm MF was in the same order of magnitude and had a strikingly similar spectrum to DNMs from publicly available whole genome sequencing data from human pedigrees (1.2 × 10− 8 per bp).

平均单核苷酸变异突变频率(MF)在血液中为每bp 1.2×10-7,在精子中为每bp 2.5×10-8,最常见的碱基取代是C>T。血液MF和取代谱与正交法在血细胞中报道的相似。。

DS revealed much larger numbers of insertions and deletions in sperm over blood, driven by an abundance of putative extra-chromosomal circular DNAs. The study indicates the strong potential of DS to characterize human DNMs to inform factors that contribute to disease susceptibility and heritable genetic risks..

DS揭示了精子在血液中的大量插入和缺失,这是由大量假定的染色体外环状DNA驱动的。这项研究表明,DS具有强大的潜力来表征人类DNM,以告知导致疾病易感性和遗传风险的因素。。

IntroductionDe novo mutations (DNMs) are a major cause of heritable genetic disorders including malformations, epilepsy, autism, cancer predisposition syndromes, and infertility1. Globally, DNMs contribute to approximately 400,000 cases per year of developmental disorders2. Indeed, a large part (30–70%) of genetic disorders have been attributed to DNMs3,4,5, accounting for a majority of inpatient pediatric admissions6,7.

引言从头突变(DNM)是遗传性遗传疾病的主要原因,包括畸形,癫痫,自闭症,癌症易感综合征和不育1。在全球范围内,DNM每年约导致40万例发育障碍2。事实上,遗传性疾病的很大一部分(30-70%)归因于DNMs3,4,5,占住院儿科住院人数的大多数6,7。

Despite the clear importance of DNMs for individual and population health, there remain major gaps in our understanding of the endogenous and exogenous variables that mediate the rate, spectrum, and distribution of these mutations in the human genome.Human pedigree studies have demonstrated that approximately 80% of DNMs have a paternal origin1,8,9.

尽管DNM对个人和人群健康具有明显的重要性,但我们对介导人类基因组中这些突变的速率,频谱和分布的内源性和外源性变量的理解仍存在重大差距。人类谱系研究表明,大约80%的DNM具有父系起源1,8,9。

Thus, male germ cells are the main source of mutations transmitted to children. There is very strong evidence that environmental factors significantly impact male germ cell mutation and DNM frequency in animal models10. However, aside from ageing, the existence of human germ cell mutagens has yet to be convincingly demonstrated11.

因此,男性生殖细胞是传播给儿童的突变的主要来源。有非常有力的证据表明,环境因素显着影响动物模型中的雄性生殖细胞突变和DNM频率10。然而,除了衰老之外,人类生殖细胞诱变剂的存在尚未得到令人信服的证明11。

Nonetheless, recent studies applying whole genome sequencing to human families provide intriguing support that certain pharmaceuticals and lifestyle factors cause DNMs in offspring via paternal germ cells10,12,13.The major challenge to the study of spontaneous and induced mutagenesis is the lack of sufficiently accurate methodologies to measure the extremely low mutation frequencies occurring in the germ line (e.g., 1 × 10− 8 per nucleotide in sperm14).

尽管如此,最近将全基因组测序应用于人类家庭的研究提供了有趣的支持,即某些药物和生活方式因素通过父系生殖细胞在后代中引起DNM[10,12,13]。自发和诱导诱变研究的主要挑战是缺乏足够准确的方法来测量生殖系中发生的极低突变频率(例如,精子中每个核苷酸1×10-8个14)。

The measurement of such low frequencies is hindered by the use of conventional next-generation sequencing (NGS) technologies that introduce errors in ~ 1 of every 103 nucleotides sequenced15. Nonetheless, deep NGS has been applied t.

传统的下一代测序(NGS)技术的使用阻碍了这种低频率的测量,这种技术在每103个核苷酸测序中约有1个引入错误15。。

Data availability

数据可用性

Data on DNA sequences can be found at NIH, National Library of Medicine through BioProject Accession: PRJNA928759 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA928759).

有关DNA序列的数据可以通过生物项目登录号在美国国立卫生研究院国家医学图书馆找到:PRJNA928759(https://www.ncbi.nlm.nih.gov/bioproject/PRJNA928759)。

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Download referencesAcknowledgementsWe thank Professor Aleksander Giwercman for providing access to the herein used samples and research time to JA. We also thank all staff at the Reproductive Medicine Centre, Skåne University Hospital Malmö, Sweden, for help with recruitment of men, collection of samples and analysis of sperm chromatin integrity.

。我们还要感谢瑞典马尔默Skåne大学医院生殖医学中心的所有工作人员,感谢他们帮助招募男性,收集样本和分析精子染色质的完整性。

We thank the Swedish Society of Medicine, ARMEC Lindebergs stiftelse, Maggie Stephens stiftelse, and the Faculty of Medicine, Lund University, for providing funding to make the study possible. FM acknowledges funding support from the Health Canada’s Genomic Research and Development Initiative. CLY acknowledges that this research was undertaken, in part, thanks to funding from the Canada Research Chairs Program (CRC award number CRC-2020-00060).FundingOpen access funding provided by Lund University.Author informationAuthors and AffiliationsDepartment of Biology, University of Ottawa, Ottawa, ON, K1N 6N5, CanadaJonatan Axelsson & Carole YaukReproductive Medicine Centre, Skåne University Hospital, Malmö, SwedenJonatan AxelssonDepartment of Translational Medicine, Lund University, Malmö, SwedenJonatan AxelssonDepartment of Laboratory Medicine, Lund University, Lund, SwedenJonatan AxelssonEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, CanadaDanielle LeBlanc, Habiballah Shojaeisaadi, Matthew J Meier, Andrew Williams & Francesco MarchettiTwinStrand Biosciences, Inc., Seattle, WA, USADevon M.

我们感谢瑞典医学会、ARMEC Lindebergs stiftelse、Maggie Stephens stiftelse和隆德大学医学院为这项研究提供资金。FM感谢加拿大卫生部基因组研究与发展倡议的资金支持。CLY承认,这项研究的进行部分归功于加拿大研究主席计划(CRC奖项编号CRC-2020-00060)的资助。资金隆德大学提供的开放获取资金。作者信息作者和附属机构渥太华大学生物学系,渥太华,ON,K1N 6N5,CanadaJonatan Axelsson&Carole YaukReproductive Medicine Centre,Skåne大学医院,Malmö,SwedenJonatan Axelsson隆德大学转化医学系,隆德,SwedenJonatan Axelsson实验室医学系,加拿大卫生部,渥太华,CanadaDanielle LeBlanc,Habiballah Shojaeisaadi,Matthew J Meier,Andrew Williams&Francison ESCO Marchettititwinstrand Biosciences,Inc.,华盛顿州西雅图,美国德文郡M。

Fitzgerald, Daniela Nachmanson, Jedidiah Carlson, Alexandra Golubeva, Jake Higgins, Thomas Smith, Fang Yin Lo & Jesse SalkDepartment of Obstetrics & Gynecology, Wayne State University, Detroit, MI, USARichard PilsnerAuthorsJonatan AxelssonView author publicationsYou can also search for this author in.

菲茨杰拉德(Fitzgerald)、丹妮拉·纳奇曼森(DanielaNachmanson)、杰迪迪亚·卡尔森(JedidiahCarlson)、亚历山德拉·戈卢贝娃(AlexandraGolubeva)、杰克·希金斯(JakeHiggins)、托马斯·史密斯(ThomasSmith)、方茵·罗(FangyinLo)和杰西·索尔克(JesseSalkdepartment of Obstics&Gynomy)、韦恩州立大学(WayneState University)、密歇根州底特律。

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PubMed Google ScholarContributionsJ.A.: Conceptualization, Resources, Data analysis, Writing - Original Draft, Funding Acquisition, Project administration; D.LB.: Formal analysis, Resources, Data Curation; H.S.: Formal analysis, Data Curation, Writing - Review & Editing; M.M.: Formal analysis, Data Curation, Writing - Review & Editing; D.M.F.: Data analysis, Data Curation, Data Interpretation, Writing - Review & Editing; M.M.: Formal analysis, Interpretation, Writing - Review & Editing; D.N.: Data Analysis, Data Curation Writing - Review & Editing; J.C.: Data Analysis; A.G.: Sample Processing, Data Curation; J.H.: Data analysis, Data interpretation, Writing - Review & Editing; T.S.: Data Analysis; F.Y.L.: Data Analysis; R.P.: Sperm sample processing, Writing - Review & Editing; A.W.: Statistical analysis; J.S.: Scientific advisor, Data interpretation; F.M.: Supervision, Data interpretation, Writing - Original Draft, Review & Editing, Funding Acquisition; C.Y: Supervision, Resources; Data interpretation, Writing - Original Draft Review & Editing, Funding Acquisition.

PubMed谷歌学术贡献。A、 :概念化,资源,数据分析,写作-原稿,资金获取,项目管理;D、 LB.:形式分析,资源,数据管理;H、 美国:正式分析,数据管理,写作-评论和编辑;M、 M.:正式分析,数据管理,写作-评论和编辑;D、 M.F.:数据分析,数据管理,数据解释,写作-评论和编辑;M、 M.:形式分析,解释,写作-评论和编辑;D、 N.:数据分析,数据策划写作-评论和编辑;J、 C.:数据分析;A、 G:样品处理,数据管理;J、 H.:数据分析,数据解释,写作-审查和编辑;T、 S.:数据分析;F、 Y.L.:数据分析;R、 P:精子样本处理,写作-评论和编辑;A、 W.:统计分析;J、 S.:科学顾问,数据解释;F、 M:监督,数据解释,写作-原稿,审查和编辑,资金获取;C、 Y:监督,资源;数据解释,写作-原稿审查和编辑,资金获取。

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JA, CY, MM, AW, FM declare no competing interests. DF, JC, SG, JH, TS, DN, FYL and JJS are employees and equity holders at TwinStrand Biosciences, Inc., or were during their contributions to this manuscript.

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Reprints and permissionsAbout this articleCite this articleAxelsson, J., LeBlanc, D., Shojaeisaadi, H. et al. Frequency and spectrum of mutations in human sperm measured using duplex sequencing correlate with trio-based de novo mutation analyses.

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Sci Rep 14, 23134 (2024). https://doi.org/10.1038/s41598-024-73587-2Download citationReceived: 26 March 2024Accepted: 18 September 2024Published: 08 October 2024DOI: https://doi.org/10.1038/s41598-024-73587-2Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

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KeywordsSperm DNA mutationsDe novo mutationsMutation frequencyMutational spectrumExtrachromosomal circular DNADuplex sequencing

关键词精子DNA突变从头突变突变频率突变谱染色体外循环DNA多重测序

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