猪和鹌鹑CpG甲基化数据集来自短读和长读测序技术。

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Paul Terzian, Céline Vandecasteele, Joanna Lledo, Rémy-Félix Serre, Jules Sabban, Claire Kuchly, Frédérique Pitel, Sophie Leroux, Julie Demars, Nathalie Iannuccelli, Katia Fève, Michèle Bonnet, Christine Gaspin, Denis Milan, Carole Iampietro, Christophe Klopp, Cécile Donnadieu
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引用次数: 0

摘要

CpG甲基化是参与基因调控、发育和其他生物过程的关键表观遗传标记,通常使用全基因组亚硫酸酯测序(WGBS)进行分析。然而,亚硫酸氢盐处理会导致显著的DNA降解。酶促甲基测序(EM-seq)提供了一种短读替代方法,可以保留DNA的完整性,但需要转换步骤,限制了其与下游分析的兼容性。第三代测序技术,如牛津纳米孔技术(ONT)和PacBio,能够在不改变DNA的情况下直接检测DNA修饰,同时提供基因组和表观基因组信息。这项工作提出了一个综合的数据集,结合了长读和短读测序数据,包括ONT, PacBio, Enzymatic Methyl-seq和WGBS,用于两个农学相关物种:猪(Sus scrofa)和鹌鹑(Coturnix japonica)。数据质量评估显示,PacBio和短读段的核苷酸质量得分很高,长读段的比对率很高,CpG甲基化调用的方法间相关性在0.76至0.99之间。该数据集是培训甲基化呼叫者的宝贵资源,代表了这些物种的第一个组合甲基化数据集,为评估新兴测序技术提供了重要的基准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pig and quail CpG methylation datasets from short and long read sequencing technologies.

CpG methylation, a key epigenetic mark involved in gene regulation, development, and other biological processes, is commonly analyzed using Whole-Genome Bisulfite Sequencing (WGBS). However, bisulfite treatment causes significant DNA degradation. Enzymatic Methyl-seq (EM-seq) offers a short-read alternative that preserves DNA integrity but requires conversion steps, limiting its compatibility with downstream analyses. Third-generation sequencing technologies, such as Oxford Nanopore Technologies (ONT) and PacBio, enable direct detection of DNA modifications without altering the DNA, providing simultaneous genome and epigenome information. This work presents a comprehensive dataset combining long- and short-read sequencing data, including ONT, PacBio, Enzymatic Methyl-seq, and WGBS, for two agronomically relevant species: pig (Sus scrofa) and quail (Coturnix japonica). Data quality evaluation reveals high nucleotide quality scores for PacBio and short reads, robust alignment rates for long reads, and inter-method correlations in CpG methylation calling ranging from 0.76 to 0.99. This dataset is a valuable resource for training methylation callers and represents the first combined methylation dataset for these species, providing an essential benchmark for assessing emerging sequencing technologies.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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