杨梅腐烂病土传病原菌及其对微生物群落生态影响的研究

杨梅作为我国南方重要的林地经济作物，是山区农民致富的主要产业。但随着杨梅种植年限增加，土传病害逐年增加、危害程度逐年加重。本项目拟以浙江台州杨梅腐烂病土传病原菌作为主要研究对象，采集土壤和植物样品并运用三域微生物高通量绝对定量技术，揭示病害过程中土壤与植物微生物组的群落结构，建立基于三域微生物绝对含量信息的潜在病原菌生态位关系模型；通过微生物培养基预测技术定向筛选、分离和培养潜在病原菌，根据柯赫氏法则验证致病菌；基于病原菌遗传信息设计多重PCR反应，通过盆栽实验进行验证，实现杨梅土传病害的快速监测和分型，应用三域微生物高通量绝对定量技术检测土壤和植物样品土传病害及微生物群落变化，探究土传病害胁迫下土著微生物群落的生态学响应。研究成果将进一步了解杨梅土传病原菌并实现快速检测和分型、诠释杨梅土传病害过程中病原菌对微生物群落生态的驱动，为今后绿色防控杨梅土传病害、推进我国乡村振兴等提供科学支撑。

Bayberry (Myrica rubra), as an important forest economic crop in South China, is the main product for farmers to acquire wealth. However, with the increase of bayberry planting years, soil-borne diseases and their damage degree increase year by year. In this research, the soil-borne rot diseases of bayberry in Taizhou, Zhejiang province are taken as the main research objects. Samples of the soils and plants will be collected, and the pathogen and microbial community will be measured by the microbial high-throughput absolute abundance quantification method. The microbial community structures of soil and plant samples will be revealed in the process of disease. The niche relationship model of potential pathogens will be established, based on the results of absolute abundance of three domain microorganisms. The potential pathogens will be isolated and cultured by microbial culture media prediction of Known Media Database, and the pathogens will be verified according to Koch's law. To achieve rapid monitoring and typing of the soil-borne pathogen of bayberry, the reaction of multiplex PCR will be designed based on the genetic of pathogens, which would later be verified by pot experiment. The ecological changes of soil-borne pathogen and microbial community will be studied by the microbial high-throughput absolute abundance quantification method. Finally, the ecological response of indigenous microbiota under stress of soil-borne diseases will be revealed. Results from this research will provide a further understanding of the soil-borne pathogens in bayberry, achieving a rapid detection and typing of the pathogens, and interpreting ecological effects of the pathogens on microbial community ecology under stress of soil-borne diseases. This will provide scientific support for the future green prevention and control of soil-borne diseases of bayberry, as well as the promotion of Rural Revitalization in China.