数字农科院2.0

A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

文献类型： 外文期刊

作者： Chen, Peng;Zhang, Bipei;Zhao, Sheng;Zhu, Zhenghang;Yan, Yiming;Chen, Haotian;Lu, Hong;Xiang, Yong;Li, Yongquan;Chang, Yuxiao

作者机构：

关键词： （1-1-1）Reduced representation sequencing;Whole-genome genotyping;Molecular breeding;Restriction site-associated DNA sequencing;Tn5

期刊名称： BMC BIOLOGY

ISSN：

年卷期： 2025 年 23 卷 1 期

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收录情况： SCIE（2025版）

摘要： BackgroundReduced representation sequencing (RRS) using Restriction site-associated DNA sequencing (RAD-seq) has become a widely adopted method for whole-genome genotyping, owing to its cost-effectiveness and applicability across species. However, traditional RAD-seq approaches face challenges, including complex workflows and high labor demands. Existing RAD-seq methods rely primarily on the strategy of selecting fragments first, then preparing a library, which involves targeting fragments associated with restriction enzyme cut sites.ResultsIn contrast, we developed inverse RAD-seq (iRAD-seq), a novel method that employs a prepare library first, then select strategy to efficiently capture fragments not associated with restriction sites for whole-genome genotyping. This innovative approach utilizes Tn5 transposase to simultaneously fragment DNA and ligate adapters, followed by pooled processing of hundreds of libraries for batch restriction digestion, thereby significantly streamlining RAD-seq library preparation. This simplified workflow makes iRAD-seq highly compatible with liquid handling automation, enhancing its throughput. We validated iRAD-seq through both in silico analyses and wet-lab experiments in maize and rice. The results demonstrate that iRAD-seq provides consistent genome-wide Single-Nucleotide Polymorphism (SNP) distributions. In maize germplasm, iRAD-seq successfully enables effective genetic diversity analysis. Furthermore, genetic mapping of maize populations has confirmed its utility for identifying quantitative trait loci (QTL).ConclusionsOur findings suggest that iRAD-seq offers a more streamlined, efficient, and flexible approach to genotyping and marker development than traditional RAD-seq methods. Owing to its potential for high-throughput applications and cost reductions, iRAD-seq is a valuable tool for genomic research and molecular breeding.

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