Genotyping single nucleotide polymorphisms in homologous regions using multiplex kb level amplicon capture sequencing.

IF 2.3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Meng Lu, Jie Li, Xiuxiu Sun, Dongqing Zhao, Huanhuan Zong, Chen Tang, Kai Li, Yuxun Zhou, Junhua Xiao
{"title":"Genotyping single nucleotide polymorphisms in homologous regions using multiplex kb level amplicon capture sequencing.","authors":"Meng Lu, Jie Li, Xiuxiu Sun, Dongqing Zhao, Huanhuan Zong, Chen Tang, Kai Li, Yuxun Zhou, Junhua Xiao","doi":"10.1007/s00438-024-02192-9","DOIUrl":null,"url":null,"abstract":"<p><p>Single nucleotide polymorphisms (SNPs) in homologous regions play a critical role in the field of genetics. However, genotyping these SNPs is challenging due to the presence of repetitive sequences within genome, which demand specific method. We introduce a new, mid-throughput method that simplifies SNP genotyping in homologous DNA sequences by utilizing a combination of multiplex kb level PCR (PCR size 2.5k-3.5 kb) for capturing targeted regions and multiplex nested PCR library construction for next-generation sequencing (Multi-kb level capture-seq). First of all, we randomly selected 7 SNPs in homologous regions and successfully captured 6-plex kb level amplicons (one of segments contains 2 SNPs, while the remaining segments each have only one SNP) in a single tube. And then, the amplification products were subjected to multiplex nested PCR for library construction and sequenced on Illumina platform. We tested this strategy using 600 amplicons from 100 samples and accurately genotyped 96.8% of target SNPs with a coverage depth of ≥ 15×. For the uniformity within the samples, over 66.7% (4/6) of the amplicons had a coverage depth above 0.2-fold of average sequencing depth. To validate the accuracy of this approach, we performed Ligase detection reaction PCR for genotyping the 100 samples, and found that the genotyping data was 97.71% consistent with our NGS results. In conclusion, we have developed a highly efficient and accurate method for SNP genotyping in homologous regions, which offers researchers a new strategy to explore the complex regions of genome.</p>","PeriodicalId":18816,"journal":{"name":"Molecular Genetics and Genomics","volume":"299 1","pages":"99"},"PeriodicalIF":2.3000,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Genetics and Genomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s00438-024-02192-9","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Single nucleotide polymorphisms (SNPs) in homologous regions play a critical role in the field of genetics. However, genotyping these SNPs is challenging due to the presence of repetitive sequences within genome, which demand specific method. We introduce a new, mid-throughput method that simplifies SNP genotyping in homologous DNA sequences by utilizing a combination of multiplex kb level PCR (PCR size 2.5k-3.5 kb) for capturing targeted regions and multiplex nested PCR library construction for next-generation sequencing (Multi-kb level capture-seq). First of all, we randomly selected 7 SNPs in homologous regions and successfully captured 6-plex kb level amplicons (one of segments contains 2 SNPs, while the remaining segments each have only one SNP) in a single tube. And then, the amplification products were subjected to multiplex nested PCR for library construction and sequenced on Illumina platform. We tested this strategy using 600 amplicons from 100 samples and accurately genotyped 96.8% of target SNPs with a coverage depth of ≥ 15×. For the uniformity within the samples, over 66.7% (4/6) of the amplicons had a coverage depth above 0.2-fold of average sequencing depth. To validate the accuracy of this approach, we performed Ligase detection reaction PCR for genotyping the 100 samples, and found that the genotyping data was 97.71% consistent with our NGS results. In conclusion, we have developed a highly efficient and accurate method for SNP genotyping in homologous regions, which offers researchers a new strategy to explore the complex regions of genome.

利用多重 kb 级扩增片段捕获测序技术对同源区域的单核苷酸多态性进行基因分型。
同源区的单核苷酸多态性(SNPs)在遗传学领域发挥着至关重要的作用。然而,由于基因组中存在重复序列,对这些 SNP 进行基因分型具有挑战性,需要采用特定的方法。我们介绍了一种新的、中等通量的方法,通过结合多重 kb 级 PCR(PCR 大小为 2.5k-3.5 kb)捕获目标区域和多重嵌套 PCR 文库构建用于下一代测序(Multi-kb 级捕获-seq),简化了同源 DNA 序列中 SNP 的基因分型。首先,我们在同源区域随机选择了 7 个 SNP,并在一个试管中成功捕获了 6 个多重 kb 级扩增子(其中一个片段包含 2 个 SNP,其余片段各有 1 个 SNP)。然后,对扩增产物进行多重嵌套 PCR,构建文库,并在 Illumina 平台上进行测序。我们使用来自 100 个样本的 600 个扩增产物对这一策略进行了测试,结果表明,在覆盖深度≥ 15× 的情况下,目标 SNP 的基因分型准确率达到 96.8%。为了保证样本的一致性,超过 66.7% (4/6)的扩增子的覆盖深度超过平均测序深度的 0.2 倍。为了验证这种方法的准确性,我们对 100 个样本进行了连接酶检测反应 PCR 基因分型,发现基因分型数据与 NGS 结果的一致性高达 97.71%。总之,我们开发出了一种高效、准确的同源区 SNP 基因分型方法,为研究人员探索复杂的基因组区域提供了一种新策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Molecular Genetics and Genomics
Molecular Genetics and Genomics 生物-生化与分子生物学
CiteScore
5.10
自引率
3.20%
发文量
134
审稿时长
1 months
期刊介绍: Molecular Genetics and Genomics (MGG) publishes peer-reviewed articles covering all areas of genetics and genomics. Any approach to the study of genes and genomes is considered, be it experimental, theoretical or synthetic. MGG publishes research on all organisms that is of broad interest to those working in the fields of genetics, genomics, biology, medicine and biotechnology. The journal investigates a broad range of topics, including these from recent issues: mechanisms for extending longevity in a variety of organisms; screening of yeast metal homeostasis genes involved in mitochondrial functions; molecular mapping of cultivar-specific avirulence genes in the rice blast fungus and more.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信