清脆的
计算生物学
生物
基因组编辑
Cas9
基因组
桑格测序
功能基因组学
遗传学
计算机科学
基因组学
模块化设计
基因分型
限制性酶
基因组工程
参考基因组
引导RNA
DNA测序
亚基因组mRNA
表达式向量
克隆(编程)
基因
工作流程
故障排除
多克隆站点
载体(分子生物学)
可扩展性
核酸内切酶
全基因组测序
寡核苷酸
作者
Si Nian Char,Hua Liu,James A. Birchler,Kan Wang,Bing Yang
出处
期刊:CSH Protocols
[Cold Spring Harbor Laboratory Press]
日期:2025-10-07
标识
DOI:10.1101/pdb.prot108659
摘要
Genetic toolsets are essential for gene discovery, elucidating biological pathways, and accelerating molecular breeding of superior crops in plant biology and agriculture. Among these, the CRISPR–Cas9 (clustered regularly interspaced short palindromic repeats–CRISPR-associated protein 9) system has emerged as a powerful and indispensable tool for precise genome editing in maize ( Zea mays L.). This protocol presents a comprehensive, maize-specific approach to constructing CRISPR vectors and analyzing transgenic plants carrying targeted gene mutations. It is organized into two major sections. The first section provides a step-by-step guide for designing guide RNAs and oligonucleotides (oligos) to construct CRISPR vectors containing one, two, four, or multiplexed (up to eight) single-guide RNAs (sgRNAs). It also describes the modular assembly of these sgRNAs with the Cas9 expression cassette using the Gateway cloning strategy to streamline vector construction. The second section focuses on genotyping CRISPR-edited plants by detecting and characterizing target mutations. Four complementary methods are outlined: (1) the T7 endonuclease I (T7EI) assay, (2) restriction enzyme digestion, (3) Sanger sequencing of PCR amplicons, and (4) high-throughput sequencing. Methods 1 and 2 offer rapid and cost-effective screening for small insertions or deletions (indels), while methods 3 and 4 provide high-resolution and scalable mutation analysis. Together, this workflow offers researchers an efficient, flexible, and reliable system for genome editing and mutation validation in maize, supporting both functional genomics studies and trait improvement applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI