Efficient and Specific Generation of MSTN-Edited Hu Sheep Using C-CRISPR

Genes (Basel). 2023 Jun 2;14(6):1216. doi: 10.3390/genes14061216.

Abstract

Hu sheep, an indigenous breed in China known for its high fecundity, are being studied to improve their growth and carcass traits. MSTN is a negative regulator of muscle development, and its inactivation results in muscularity. The C-CRISPR system, utilizing multiple neighboring sgRNAs targeting a key exon, has been successfully used to generate genes for complete knockout (KO) monkeys and mice in one step. In this study, the C-CRISPR system was used to generate MSTN-edited Hu sheep; 70 embryos injected with Cas9 mRNA and four sgRNAs targeting exon 3 of sheep MSTN were transferred to 13 recipients. Out of 10 lambs born from five recipients after full-term pregnancies, nine had complete MSTN KO with various mutations. No off-target effects were found. These MSTN-KO Hu sheep showed a double-muscled (DM) phenotype, characterized by a higher body weight at 3 and 4 months old, prominent muscular protrusion, clearly visible intermuscular groves, and muscle hypertrophy. The molecular analysis indicated enhanced AKT and suppressed ERK1/2 signaling in the gluteus muscle of the edited Hu sheep. In conclusion, MSTN complete KO Hu sheep with a DM phenotype were efficiently and specifically generated using C-CRISPR, and the C-CRISPR method is a promising tool for farm animal breeding.

Keywords: CRISPR/Cas9; Hu sheep; MSTN; double muscling phenotype; off-target effects.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Animals, Genetically Modified
  • CRISPR-Cas Systems*
  • Female
  • Mice
  • Muscle, Skeletal / metabolism
  • Mutation
  • Myostatin* / genetics
  • Myostatin* / metabolism
  • Pregnancy
  • Sheep / genetics

Substances

  • Myostatin

Grants and funding

This study was supported by the Jiangsu Provincial Key R&D Program–Modern Agriculture (grant no. BE2019373) and the Jiangsu Province Agricultural Science and Technology Independent Innovation Fund Project (grant no. CX(21)3128).