植物对根际丛枝菌根真菌群落的调控力与植物空间分布范围的关系

约80%的陆生植物能与丛枝菌根真菌（AMF）结合。已有研究和我们前期工作表明，植物-菌根真菌互作具有驱动植物时空分布格局的潜力，且植物能主动调控其根际菌根真菌群落的组成结构。然而，目前关于菌根真菌与植物分布关系的研究仍停留在现象描述或者分类学的不同大类之间的比较，尚未深入到菌根真菌的功能和植物的调控机制。我们假设：植物调控其根际AMF群落以正反馈于自身生长、耐受胁迫的能力存在显著的种间差异，这种种间差异是解释植物空间分布范围差异的一个潜在的新机制。本项目拟以8-10种典型的AMF结合型草本宿主植物为研究对象，结合室内种植和模型模拟的方法探究大尺度的水热渐变梯度下宿主植物对根际AMF群落的调控力与其空间分布范围的关系，并用同位素标记的方法探究宿主植物对AMF的碳代谢调控机制，为植物的全球分布格局提供一种新的理论机制，为植物多样性保育和未来气候变化情境下的植物分布格局预测提供一种新思路。

About 80% of terrestrial plants can associate with arbuscular mycorrhizal fungi (AMF). Previous studies and our own work suggested that plant-mycorrhizal fungi interactions have the potential to drive plant distribution patterns across space and time, and that many plant species can modify their rhizospheric mycorrhizal fungal communities. However, previous studies on the relationship between mycorrhizal fungi and plant distributions mainly focused on the description of the relationship per se or the comparisons on the roles of different major taxonomic groups. No study has yet differentiated the roles of fungal groups with different functions and explored how plants may modify their rhizospheric mycorrhiza communities to increase their distribution ranges. Here, we propose the following hypothesis: there are profound interspecific differences across plant species with respect to their abilities to obtain positive feedback from rhizospheric mycorrhizal fungal communities, which may be a potential mechanism to explain the interspecific differences in their spatial distribution ranges. In this study, we plan to use 8-10 typical AMF-associated herbs as study species to explore: (1) the relationship between species’ ability to modify their rhizospheric AMF communities and their spatial distribution ranges based on a greenhouse experiment and model constructions; (2) the carbon-related metabolism processes that might explain the interspecific differences in species’ ability to modify their rhizospheric AMF communities. Our goal is to propose a new mechanism for understanding plant global distribution pattern and to help better conserve plant diversity and better predict plant spatial distributions under future climate changes.