Dataset Information

Efficient Generation of Myostatin Gene Mutated Rabbit by CRISPR/Cas9.

ABSTRACT: CRISPR/Cas9 has been widely used in generating site-specific genetically modified animal models. Myostatin (MSTN) is a negative regulator of muscle mass, related to muscle growth and differentiation. The knockout of MSTN with the desired phenotype of double muscle has been successfully generated in mice, goats, pigs and cattle, but not in rabbits. In this study, the MSTN knockout (KO) rabbits were generated by co-injection of Cas9 mRNA and sgRNA into zygotes. The typical phenotype of double muscle with hyperplasia or hypertrophy of muscle fiber was observed in MSTN KO rabbits. Furthermore, a similar phenotype was found in the F1 generation, suggesting that the mutation of MSTN could be stably inherited in the MSTN KO rabbits. In summary, we have successfully generated MSTN KO rabbits using CRISPR/Cas9 system with high efficiency, which is a reliable and effective animal model for the study of muscle development and related diseases.

SUBMITTER: Lv Q

PROVIDER: S-EPMC4844959 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Efficient Generation of Myostatin Gene Mutated Rabbit by CRISPR/Cas9.

Lv Qingyan Q Yuan Lin L Deng Jichao J Chen Mao M Wang Yong Y Zeng Jian J Li Zhanjun Z Lai Liangxue L

Scientific reports 20160426

CRISPR/Cas9 has been widely used in generating site-specific genetically modified animal models. Myostatin (MSTN) is a negative regulator of muscle mass, related to muscle growth and differentiation. The knockout of MSTN with the desired phenotype of double muscle has been successfully generated in mice, goats, pigs and cattle, but not in rabbits. In this study, the MSTN knockout (KO) rabbits were generated by co-injection of Cas9 mRNA and sgRNA into zygotes. The typical phenotype of double musc ...[more]

PMID: 27113799

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Project description:While CRISPR/Cas9 technology has proven to be a valuable system to generate gene-targeted modified animals in several species, this tool has been scarcely reported in farm animals. Myostatin is encoded by MSTN gene involved in the inhibition of muscle differentiation and growth. We determined the efficiency of the CRISPR/Cas9 system to edit MSTN in sheep and generate knock-out (KO) animals with the aim to promote muscle development and body growth. We generated CRISPR/Cas9 mRNAs specific for ovine MSTN and microinjected them into the cytoplasm of ovine zygotes. When embryo development of CRISPR/Cas9 microinjected zygotes (n = 216) was compared with buffer injected embryos (n = 183) and non microinjected embryos (n = 173), cleavage rate was lower for both microinjected groups (P<0.05) and neither was affected by CRISPR/Cas9 content in the injected medium. Embryo development to blastocyst was not affected by microinjection and was similar among the experimental groups. From 20 embryos analyzed by Sanger sequencing, ten were mutant (heterozygous or mosaic; 50% efficiency). To obtain live MSTN KO lambs, 53 blastocysts produced after zygote CRISPR/Cas9 microinjection were transferred to 29 recipient females resulting in 65.5% (19/29) of pregnant ewes and 41.5% (22/53) of newborns. From 22 born lambs analyzed by T7EI and Sanger sequencing, ten showed indel mutations at MSTN gene. Eight showed mutations in both alleles and five of them were homozygous for indels generating out-of frame mutations that resulted in premature stop codons. Western blot analysis of homozygous KO founders confirmed the absence of myostatin, showing heavier body weight than wild type counterparts. In conclusion, our results demonstrate that CRISPR/Cas9 system was a very efficient tool to generate gene KO sheep. This technology is quick and easy to perform and less expensive than previous techniques, and can be applied to obtain genetically modified animal models of interest for biomedicine and livestock.

Dataset Information

Efficient Generation of Myostatin Gene Mutated Rabbit by CRISPR/Cas9.

Publications

Efficient Generation of Myostatin Gene Mutated Rabbit by CRISPR/Cas9.

Similar Datasets

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