长白山区域铁线莲属植物共生子囊真菌多样性评价和活性化合物筛选

长白山是中国北部重要的生态保护区，为当地的生态系统平衡和经济发展发挥了重要作用。铁线莲属是一种古老的真双子叶植物，在长白山的不同海拔均有分布。子囊菌是一种与陆生植物共生真菌，很多子囊菌的次级代谢产物具有很好的药物开发价值。铁线莲属共生真菌多样性的研究对于加深植物宿主和真菌之间互作机制的理解非常重要；然而，目前长白山区域子囊菌多样性和分类学的相关研究还非常有限。本项目以长白山区域铁线莲属共生子囊菌的菌物多样性为主要研究目标，综合利用分类学、系统发育，以及基于二代和三代测序的ITS和RPB2的DNA条形码技术评价其鉴定共生子囊菌新物种，并评估影响真菌群落改变的主要环境因子。同时，在新种鉴定的基础上，对真菌新种进行深层发酵和活性物质分离，获得新的活性化合物并进行结构解析和生物活性分析。该研究不仅可以加深我们对长白山子囊菌适应不同环境的理解，发现的新种和活性化合物也为后续应用提供了有益的信息。

Changbai mountain is an important biosphere reserve of Northeast China which provides a large source of biological communities and consumption for local communities. Clematis, are one of the early-diverging eudicots that grow along the altitudinal gradients and are native to the northern hemisphere, including the Changbai mountain area. Ascomycetes is a highly diverse group associated with terrestrial plant which has great potential to produce useful biological activities including secondary metabolites for biotechnologically relevant applications such as Phomopsin A. To gain greater insight into fungi biodiversity associated with Clematis species, fungal networks associated with the plant will be demonstrated to enhance host-fungal interaction knowledge. Research exploring new ascomycetous species in Changbai mountain is rare and has not been extensively explored. This project aims to discover Ascomycetes species in Changbai mountain emphasizing on Clematis cultivars. Taxonomy and evolutionary statistic scheme of multigene analysis coupled with metabarcoding approaches such as NGS and third-generation sequencing technology will be used to promote the discovery of hidden fungal taxa. We will assess Ascomycota data to establish the ecological influences among the fungal kingdom by using ITS and RPB2 metabarcoding. The project also aims to discover new bioactive compounds produced by novel fungal species in Changbai mountain. Submerged fermentation of two best prominent fungi will be subjected to a bioactivity-guided fractionation to yield compounds in quantities sufficient for full spectroscopic characterization and metabolite activity. Our findings will dramatically advance fungal adaptation along with climate change effects and access the application of using fungal strains to defend upcoming diseases or protection strategies.