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Genetic control and nutrient-dependency of root-microbe interaction in maize

Genetic control and nutrient-dependency of root-microbe interaction in maize
玉米根系微生物相互作用的遗传控制和营养依赖性
批准号:
444755415
负责人:
Dr. Peng Yu
金额:
$0.0万
依托单位国家:
德国
项目类别:
Independent Junior Research Groups
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
翻译
根际是土壤的狭窄区域,其直接受根分泌物的影响,并且与被称为根微生物组的土壤微生物相关。根与其微生物组的相互作用有助于植物健康和健身。了解这些关系的分子和遗传基础将使植物在养分供应不足的农业土壤中保持上级性能,从而减少矿物肥料的施用。该项目将通过整合根皮层和中柱的转录组数据以及根发育过程中获得的根际微生物组基因组数据,揭示宿主根与土壤微生物相互作用的复杂性。为此,将调查一组具有不同氮素利用效率的遗传多样性自交系和在不同氮素条件下具有明显侧根和根毛发育缺陷的根突变体。基因共表达、微生物共现/共丰度和跨界网络将鉴定与关键微生物OTU(操作分类单位)相互作用的枢纽基因。此外,从根分泌物的代谢物组的轮廓,将确定从根际到根际的代谢信号传输。通过MRI(磁共振成像)进行的非侵入性根成像,通过PET(正电子发射断层扫描)和NanoSIMS(纳米级二次离子质谱)进行的碳和氮动态成像将进一步跟踪单个根的不同区域和不同根类型中的空间隔室的根及其分泌物的结构和功能信息。此外,将通过原位杂交和CARD-FISH(催化报告沉积结合荧光原位杂交)实验证明候选枢纽基因和关键微生物的空间模式。最后,调控与微生物相互作用的次级代谢物生物合成的枢纽基因将通过CRISPR/Cas9的基因组编辑被敲除,以产生新的突变体。同时,将分离和培养代表性的关键微生物OTU,并将使用衍生的合成群落来验证它们在玉米基因调控中的潜在作用。总之,本项目的总体目标是从机理上理解根和根际微生物的功能,以提高植物对缺氮的耐受性。这将为作物育种应用和微生物合成群落的应用铺平道路,以确保未来的粮食生产和维持农业资源的有效利用。
英文摘要
The rhizosphere is the narrow region of soil that is directly influenced by root secretions and that is associated soil microorganisms known as the root microbiome. The interaction of roots with their microbiome is instrumental for plant health and fitness. Understanding the molecular and genetic basis of these relationships will enable to sustain plants with superior performance on agricultural soils with poor nutrient availability and thus reducing mineral fertilizer application.The project will start with uncovering the complexity of host root interactions with the soil microbes by integration of transcriptome data of the root cortex and stele and rhizosphere microbiome genomic data obtained during root development. To this end a panel of genetically diverse inbred lines with contrasting nitrogen use efficiencies and root mutants with distinct developmental defects of lateral roots and root hairs under different nitrogen conditions in maize will be surveyed. Gene co-expression, microbial co-occurrence/co-abundance and trans-kingdom networks will identify the hub genes interacting with the keystone microbial OTUs (operational taxonomic units). Moreover, metabolic signal transmission from the endosphere to the rhizosphere will be determined by profiling of the metabolome from root exudates. Non-invasive root imaging by MRI (Magnetic Resonance Imaging), dynamics of carbon and nitrogen imaging by PET (Positron Emission Tomography) and NanoSIMS (Nanometer-scale Secondary Ion Mass Spectrometry) will further track the architectural and functional information of the root and its exudates across spatial compartments in the different zones of a single root and among different root types. In addition, spatial patterning of candidate hub genes and keystone microbes will be demonstrated by in situ hybridization and CARD-FISH (catalyzed reporter deposition combined with fluorescence in situ hybridization) experiments. Finally, the hub genes regulating the biosynthesis of secondary metabolites interacting with microbes will be knocked out by genome editing via CRISPR/Cas9 to generate new mutants. In parallel, representative keystone microbial OTUs will be isolated and cultured and derived synthetic communities will be employed to validate their potential roles on gene regulation in maize. In summary, the overall objective of this project is the mechanistic understanding of the function of root and rhizosphere microbes to enhance plant tolerance to nitrogen deficiency. This will pave the way for crop breeding applications and the application of microbial synthetic communities to secure future food production and sustain efficient resource usage in agriculture.
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Genotype-dependent regulation of transcriptomic networks during heterosis manifestation in the competence phase of maize pericycle cells
Genetic Basis and Adaptive Trajectory of Host–Microbiome Association in Maize
国内基金
海外基金
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 项目类别:
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  • 资助金额:
    --
  • 批准年份:
    2020
  • 负责人:
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Cortical control of internal state in the insular cortex-claustrum region
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  • 批准号:
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  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2016
  • 负责人:
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