Identification of Endophytic Trichoderma of Chestnut and Its Volatile Metabolites
[Objective]The study aims to screen beneficial endophytic Trichoderma species with the ability of biological fumigation to suppress the pathogenic fungi causing chestnut fruit rot,for the development of green prevention and control technologies for diseases during the chestnut storage period.[Method]The endophytes in chestnut fruit tissues were isolated and cultivated through the surface disinfection method.Trichoderma species were identified based on morphology and phylogenetic analyses of the ITS,rpb2,and tef1-α sequences.The inhibitory effect of the volatile metabolites of Trichoderma on various pathogenic fungi was clarified by non-contact co-culture,and the composition of its volatiles was analyzed using headspace solid-phase microextraction and GC-MS technology(HS-SPME-GC-MS).[Result]Among the four Trichoderma strains isolated from chestnut fruits,strain FPYF6037 was discovered,which exhibited broad-spectrum fumigation inhibitory effects on the four pathogenic fungi causing chestnut fruit rot.This strain was identified as a new species of the Trichoderma genus and named Trichoderma castaneae.The dominant components of the volatile metabolites of this strain were terpene compounds,accounting for approximately 55％.Component bacteriostasis tests indicated that α,β-phellandrene and 1,3,5,7-cyclooctatetraene manifested obvious inhibitory effects on the growth of pathogenic fungi.The inhibition rate of α-phellandrene at a concentration of 0.4 μL/mL was approximately 31.6％,that of 1.0 μL/mL β-phellandrene was 42.67％,and that of 0.8 μL/mL 1,3,5,7-cyclooctatetraene was approximately 41％.[Conclusion]The endophytic Trichoderma strains within chestnut fruits were reported for the first time,and the new species Trichoderma castaneae and the inhibitory effects of its volatiles on the growth of pathogenic fungi were identified,providing resources and approaches for the green prevention and control of chestnut fruit rot through biological fumigation.
万方数据
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