Root hair driven rhizosphere microbiome assemblage and functional feedback on host plants

根与其微生物群的相互作用对植物的健康和适合性是至关重要的。了解根毛驱动的有益根-微生物相互作用的分子和遗传基础，将使植物在养分有效性较差的农业土壤上表现优异，从而有助于减少无机肥的使用。SPP 2089第二阶段的总体目标是从机理上了解根毛驱动的根际微生物群落的自组织及其对宿主根形态、解剖和基因表达的潜在反馈。在这个项目中，我们将通过RNA测序和16S rRNA基因测序，通过分析和整合不同土壤质地(壤土和沙土)下不同根型和根区的不同根毛突变体的转录本和微生物群，揭示宿主根与土壤微生物相互作用的复杂性。从这些实验中，我们将确定与Keystone微生物相互作用的候选基因。此外，我们将确定不同根型的形态和解剖特性作为与候选基因和关键微生物的生理特性的相关性。此外，我们将通过fl荧光原位可视化演示关键基因和关键微生物的空间模式。最后，我们将从具有代表性的Keystone微生物中衍生出合成群落，以验证它们在玉米基因调控中的潜在作用。同时，我们将通过我们内部的反向遗传资源BonnMu，识别影响次生代谢物生物合成的基因的新突变。

The interaction of roots with their microbiome is instrumental for plant health and fitness. Understanding the molecular and genetic basis of root hair driven beneficial root-microbe interactions will enable to develop plants with superior performance on agricultural soils with poor nutrient availability and thus help to reduce mineral fertilizer application.The overall objective of the second phase of the SPP 2089 is to obtain a mechanistic understanding of root hair driven self-organization of the rhizosphere microbiome and its potential feedback on host root morphology, anatomy and gene expression. In this project, we will uncover the complexity of host root interactions with soil microbes by profiling and integration of the transcriptomes and microbiomes of different root types and root zones from genetically diverse root hair mutants under different soil texture (loam and sand) by RNA-sequencing and 16S rRNA gene sequencing. From these experiments, we will identify candidate genes interacting with keystone microbes. Moreover, we will determine morphological and anatomical properties of different root types as physiological trait correlations with candidate genes and keystone microbes. Furthermore, we will demonstrate spatial patterning of key genes and keystone microbes by fluorescent in situ visualization. Finally, we will derive synthetic communities from representative keystone microbes to validate their potential roles in gene regulation in maize. In parallel, we will identify novel mutants affected in genes regulating the biosynthesis of secondary metabolites interacting with microbes via our in-house reverse genetic resource BonnMu.