Software‐based screening for efficient sgRNAs in Lactococcus lactis

Author:

Wang Hui1ORCID,Ai Lianzhong1ORCID,Xia Yongjun1ORCID,Wang Guangqiang1ORCID,Xiong Zhiqiang1ORCID,Song Xin1ORCID

Affiliation:

1. Shanghai Engineering Research Center of Food Microbiology, School of Health Science and Engineering University of Shanghai for Science and Technology Shanghai China

Abstract

AbstractBACKGROUNDThe 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.RESULTSWe 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.CONCLUSIONOur 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.

Funder

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

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