Detecting Melanocortin 1 Receptor Gene’s SNPs by CRISPR/enAsCas12a

Author:

Yang Wei12,Tao Dagang12,Xu Bingrong12,Zheng Yueting3ORCID,Zhao Shuhong12

Affiliation:

1. Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education & Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan 430070, China

2. Guangdong Laboratory of Lingnan Modern Agriculture, Guangzhou 510642, China

3. Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture and Rural Affairs and Key Laboratory of Animal Growth and Development of Henan Province, College of Veterinary Medicine, Henan Agricultural University, Zhengzhou 450046, China

Abstract

Beyond its powerful genome-editing capabilities, the CRISPR/Cas system has opened up a new era of molecular diagnostics due to its highly specific base recognition and trans-cleavage activity. However, most CRISPR/Cas detection systems are mainly used to detect nucleic acids of bacteria or viruses, while the application of single nucleotide polymorphism (SNP) detection is limited. The MC1R SNPs were investigated by CRISPR/enAsCas12a and are not limited to the protospacer adjacent motif (PAM) sequence in vitro. Specifically, we optimized the reaction conditions, which proved that the enAsCas12a has a preference for divalent magnesium ion (Mg2+) and can effectively distinguish the genes with a single base difference in the presence of Mg2+, and the Melanocortin l receptor (MC1R) gene with three kinds of SNP sites (T305C, T363C, and G727A) was quantitatively detected. Since the enAsCas12a is not limited by PAM sequence in vitro, the method shown here can extend this extraordinary CRISPR/enAsCas12a detection system to other SNP targets, thus providing a general SNP detection toolbox.

Funder

the Natural Science Foundation of China

the Laboratory of Lingnan Modern Agriculture Project

Modern Industrial Technology System of Pig

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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