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

根与其微生物组的相互作用有助于植物健康和健身。了解根毛驱动的有益的根-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差的农业土壤上具有上级性能，从而有助于减少矿物肥料的施用。SPP 2089第二阶段的总体目标是获得根毛驱动的自我调节的机理理解。根际微生物组的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，我们将揭示宿主根与土壤微生物相互作用的复杂性，通过RNA测序和16 S rRNA基因测序，分析和整合不同土壤质地（壤土和砂土）下遗传多样性根毛突变体的不同根类型和根区的转录组和微生物组。从这些实验中，我们将确定与关键微生物相互作用的候选基因。此外，我们将确定不同根类型的形态和解剖特性作为候选基因和关键微生物的生理性状相关性。此外，我们将展示关键基因和关键微生物的空间模式，通过原位可视化。最后，我们将从代表性的关键微生物中获得合成群落，以验证它们在玉米基因调控中的潜在作用。与此同时，我们将通过我们内部的反向遗传资源BonnMu确定在调节与微生物相互作用的次级代谢物生物合成的基因中受影响的新型突变体。

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.