[关键词]
[摘要]
收集甘肃省道地中药材当归根际土壤,采用平板稀释法分离土壤中木霉菌株,利用平板对峙法测定其拮抗作用,结合形态学特征及ITS序列比对鉴定木霉菌株分类地位,以期筛选具有生防作用的菌株并明确其拮抗作用。结果表明,从甘肃省当归根际土壤中分离得到21株木霉菌株,筛选出1株对靶标菌拮抗效果最好的木霉菌株TD-5,鉴定为长枝木霉(Trichoderma longibrachiatum)。TD-5对茄病镰刀菌(Fusarium solani)拮抗作用最好,抑制率为83.31%;对首都叶点霉菌(Phyllosticta capitalensis)的拮抗作用最差,抑制率为24.55%;对三线镰刀菌(Fusarium tricinctum)和胶孢炭疽菌(Colletotrichum gloeosporioides)的拮抗作用介于二者之间。菌株TD-5的挥发性代谢产物对茄病镰刀菌的抑菌效果最好(抑制率79.44%),对胶孢炭疽菌的抑菌效果较差(抑制率64.99%);其难挥发性代谢产物对三线镰刀菌的抑菌效果最好(抑制率70.72%),对茄病镰刀菌的抑菌效果最差(抑制率31.12%)。
[Key word]
[Abstract]
Soil samples were collected from the rhizosphere of authentic medicinal herb Angelica sinensis in Gansu Province, and Trichoderma spp. strains were isolated using the dilution coating method. The antagonistic effects were determined using the plate confrontation method, and the classification of Trichoderma spp. strains were identified through morphological characteristics and ITS sequence alignment, aiming to screen strains with biocontrol potential and clarify their antagonistic effects. The results showed that 21 Trichoderma spp. strains were obtained by isolated from the rhizosphere soil of Angelica Sinensis in Gansu Province, 1 strain with the best inhibitory effect on the target pathogens was screened and identified as Trichoderma longibrachiatum strain TD-5. TD-5 had the strongest antagonistic effect on Fusarium solani with an inhibitory rate at 83.31%, antagonistic effect against Phyllosticta capitalensis was the worst(inhibitory rate was 24.55%), the antagonism effects against Fusarium tricinctum and Colletotrichum gloesosporioides were between them. The volatile metabolites of TD-5 were most sensitive to Fusarium solani (inhibitory rate was 79.44%), the sensitivity to Colletotrichum gloesosporioides was the lowest (inhibitory rate was 64.99%); Non-volatile metabolites from strain TD-5 were most sensitive to Fusarium tricinctum(inhibitory rate was 70.72%), the sensitivity to Fusarium solani was the lowest (inhibitory rate was 31.12%).
[中图分类号]
S567.239
[基金项目]
甘肃省自然科学基金(22JR5RA764);甘肃省青年科技基金(17JR5RA183);甘肃省青年科技基金(20JR10RA462);甘肃省农业科学院重点研发计划(2020GAAS15)。