Wang Hui, Ai Lianzhong, Xia Yongjun, Wang Guangqiang, Xiong Zhiqiang, Song Xin
Shanghai Engineering Research Center of Food Microbiology, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
J Sci Food Agric. 2024 Jan 30;104(2):1200-1206. doi: 10.1002/jsfa.12946. Epub 2023 Sep 20.
The two essential editing elements in the clustered regularly interspaced short palindromic repeats (CRISPR) editing system are promoter and single-guide RNA (sgRNA), the latter of which determines whether Cas protein can precisely target a specific location to edit the targeted gene. Therefore, the selection of sgRNA is crucial to the efficiency of the CRISPR editing system. Various online prediction tools for sgRNA are currently available. These tools can predict all possible sgRNAs of the targeted gene and rank sgRNAs according to certain scoring criteria according to the demands of the user.
We designed sgRNAs for Lactococcus lactis NZ9000 LLNZ_RS02020 (ldh) and LLNZ_RS10925 (upp) individually using online prediction software - CRISPOR - and successfully constructed a series of knockout strains to allow comparison of the knockout efficiency of each sgRNA and analyze the differences between software predictions and actual experimental results.
Our experimental results showed that the actual editing efficiency of the screened sgRNAs did not match the predicted results - a phenomenon that suggests that established findings from eukaryotic studies are not universally applicable to prokaryotes. Software prediction can still be used as a tool for the initial screening of sgRNAs before further selection of suitable sgRNAs through experimental experience. © 2023 Society of Chemical Industry.
成簇规律间隔短回文重复序列(CRISPR)编辑系统中的两个关键编辑元件是启动子和单向导RNA(sgRNA),后者决定了Cas蛋白能否精确靶向特定位置以编辑目标基因。因此,sgRNA的选择对CRISPR编辑系统的效率至关重要。目前有各种用于sgRNA的在线预测工具。这些工具可以预测目标基因的所有可能sgRNA,并根据用户需求按照一定的评分标准对sgRNA进行排名。
我们使用在线预测软件CRISPOR分别为乳酸乳球菌NZ9000的LLNZ_RS02020(ldh)和LLNZ_RS10925(upp)设计了sgRNA,并成功构建了一系列敲除菌株,以便比较每个sgRNA的敲除效率,并分析软件预测结果与实际实验结果之间的差异。
我们的实验结果表明,筛选出的sgRNA的实际编辑效率与预测结果不匹配——这一现象表明,来自真核生物研究的既定发现并不普遍适用于原核生物。在通过实验经验进一步选择合适的sgRNA之前,软件预测仍可作为sgRNA初步筛选的工具。©2023化学工业协会。