| Literature DB >> 32519310 |
Maki Hirata1, Manita Wittayarat2, Zhao Namula3, Quynh Anh Le1, Qingyi Lin1, Nhien Thi Nguyen1, Koki Takebayashi1, Yoko Sato4, Fuminori Tanihara5, Takeshige Otoi1.
Abstract
The CRISPR/Cas9 system now allows for unprecedented possibilities of genome editing. However, there are some limitations, including achieving efficient one-step multiple genome targeting to save costs, time, and ensure high quality. In the present study, we investigated the efficiency of one-step multiple gene modification by electroporation in porcine zygotes using pooled guide RNAs (gRNAs) targeting CMAH, GHR, GGTA1, and PDX1. We first selected the best-performing gRNA from three different designs for each gene based on the effect on embryo development and mutation efficiency. The three gRNAs showed equivalent effects on the rates of blastocyst formation in each targeted gene; however, gRNAs CMAH #2, GHR #3, GGTA1 #3, and PDX1 #3 showed the highest biallelic mutation rate, although the total mutation rate of PDX1 #3 was significantly lower than that of PDX1 #1. Therefore, CMAH #2, GHR #3, GGTA1 #3, and PDX1 #1 were used as a mixture in electroporation to further clarify whether multiple genes can be targeted simultaneously. Individual sequencing of 43 blastocysts at the target sites of each gene showed mutations in one and two target genes in twenty-four (55.8%) and nine (20.9%) blastocysts, respectively. No mutation was detected in any target gene in ten (23.3%) blastocysts and no blastocysts had a mutation in three or more target genes. These results indicate that electroporation could effectively deliver multiple gRNAs and Cas9 protein into porcine zygotes to target multiple genes in a one-step process. However, the technique requires further development to increase the success rate of multiple gene modification.Entities:
Keywords: CRISPR/Cas9; Electroporation; Multiplex targeting; Porcine; Zygotes
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Year: 2020 PMID: 32519310 DOI: 10.1007/s11033-020-05576-3
Source DB: PubMed Journal: Mol Biol Rep ISSN: 0301-4851 Impact factor: 2.316