Abstract: Siraitia grosvenii is a special economic crop in Guangxi Autonomous Region and its main varieties are susceptible to root-knot nematodes， but the change of metabolites of Siraitia grosvenorii infected by M. incognita in the early stage was poorly understood. In this study, non-target analysis based on liquid chromatography-mass spectrometry was used to analyze the metabolic profile of the roots of Siraitia grosvenii seedlings infected by M. incognita. Principal component analysis and orthogonal partial least-squares discrimination analysis were also carried out for pattern recognition. The result showed that a clear separation was achieved between the control and treated with M. incognita at 7 days post-inoculate. Statistical significance was assessed with a t-test and a 2-fold change and 16 metabolites in root extracts of Siraitia grosvenii changed significantly in the level P<0.05. These metabolites were mainly related to glucose metabolism, lipid and amino acid metabolism. The result here can provide insight into interaction between Siraitia grosvenii and M.incognita in early phase.

Key words: Siraitia grosvenorii, Meloidogyne incognita, metabonomics, LC-MS