The invention provides an SNP (
Single Nucleotide Polymorphism) site which is located at the 296th site of a MeGRXC4
gene coding region, the basic group is G or C, and the sequence of the MeGRXC4
gene coding region is as shown in SEQ ID NO: 1 or SEQ ID NO: 2. The SNP located at the 296th site of the MeGRXC4
nucleotide sequence is identified to be closely associated with the
drought resistance of the cassava from the
big data level for the first time, detection is facilitated, accuracy and reliability are achieved, operation is convenient, the
drought resistance of the cassava is identified through the SNP sites, the accuracy is high, the method is not affected by the growth period of the cassava, selection can be conducted in the
seedling period, the breeding efficiency is remarkably improved, and the method is suitable for large-scale popularization and application. In addition, when the basic group of the SNP site is G, MeGRXC4 can significantly improve the
drought resistance of cassava, and the invention has important significance for revealing the relationship between
allele selection and drought resistance character formation in the
domestication process of cultivated cassava, and provides
gene resources and scientific basis for cultivating new varieties of drought-resistant high-yield cassava by using
key genes.