Generating minimum set of gRNA to cover multiple targets in multiple genomes with MINORg

使用 MINORg 生成最小 gRNA 集以覆盖多个基因组中的多个目标

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作者:Rachelle R Q Lee, Wei Yuan Cher, Jinge Wang, Yujie Chen, Eunyoung Chae

Abstract

MINORg is an offline gRNA design tool that generates the smallest possible combination of gRNA capable of covering all desired targets in multiple non-reference genomes. As interest in pangenomic research grows, so does the workload required for large screens in multiple individuals. MINORg aims to lessen this workload by capitalising on sequence homology to favour multi-target gRNA while simultaneously screening multiple genetic backgrounds in order to generate reusable gRNA panels. We demonstrated the practical application of MINORg by knocking out 11 homologous genes tandemly arrayed in a multi-gene cluster in two Arabidopsis thaliana lineages using three gRNA output by MINORg. We also described a new PCR-free modular cloning system for multiplexing gRNA, and used it to knockout three tandemly arrayed genes in another multi-gene cluster with gRNA designed by MINORg. Source code is freely available at https://github.com/rlrq/MINORg.

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