Spatially Organized Bacterial Interaction Networks in the Gut Microbiota
肠道微生物群中空间组织的细菌相互作用网络
基本信息
- 批准号:10715436
- 负责人:
- 金额:$ 37.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-07-20 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:AdhesionsAdultBacteriaBacterial AdhesionBacterial GenesBacteroidetesBindingCell WallCellsCommunicable DiseasesExclusionFamilyFoodGenerationsGnotobioticHeterogeneityImmune System DiseasesIntestinal ContentIntestinesLabelLibrariesLibrary AdministrationMapsMeasuresMetabolic DiseasesMicrobeMusMutagenesisMutationMutation AnalysisOral AdministrationPhenotypePlantsPolysaccharidesPositioning AttributeProcessProteinsSiteSpecificityStructureTechnologyTimedietarygut microbesgut microbiotain vivomagnetic beadsmembermicrobialmicrobial communityparticleprevent
项目摘要
SUMMARY
Each adult human harbors hundreds of bacterial species in their intestine. However, the networks of microbe-
microbe interactions that underly the stable co-existence of resident species, and exclude additional species,
are not well defined. The intestinal lumen is a turbulent, semi-fluid landscape where microbial cells and dietary
plant cell wall fragments are distributed with high heterogeneity, and redistributed on the time scale of seconds.
We propose that bacteria selectively adhere to dietary particles in the gut lumen and that interactions with their
co-adherent microbial partners dictate whether they persist. We created multiplex libraries of artificial food
particles (consisting of glycan-coated magnetic beads) to measure gut bacterial adhesion in vivo, and
discovered that many members of the phylum Bacteroidetes adhere to dietary glycan particles in a strain-
specific and glycan-specific manner. We will first identify families of adhesion proteins required for these
binding phenotypes using transposon mutagenesis and insertion site sequencing. Next, we will identify
networks of interacting strains that co-adhere to dietary particles. Using orally administered libraries of
fluorescently labeled beads, we will map co-adhesion networks in gnotobiotic mice colonized with strains that
have evolved together in a single donor host. Finally, we will establish a mutational selection strategy that
permits the simultaneous generation of different binding specificities in genetically intractable gut microbes.
Analysis of these mutations will reveal the potential origins of adhesion-dependent interspecies relationships.
These studies will shed light on the poorly defined spatial structure of the gut microbiota. The technologies we
develop in this proposal hold promise as a means to intentionally position the members of microbial
communities in physical configurations that prevent or ameliorate metabolic, immunologic, and infectious
diseases.
总结
每个成年人的肠道中都有数百种细菌。然而,微生物的网络-
微生物之间的相互作用是常驻物种稳定共存的基础,并排除了其他物种,
并没有很好的定义。肠腔是一个动荡的,半流体景观,其中微生物细胞和饮食
植物细胞壁碎片的分布具有高度的异质性,并且在秒的时间尺度上重新分布。
我们认为,细菌选择性地粘附在肠腔中的膳食颗粒上,
共同粘附的微生物伴侣决定它们是否持续存在。我们建立了人工食物的多重图书馆
颗粒(由聚糖包被的磁珠组成),用于测量体内肠道细菌粘附,以及
发现拟杆菌门的许多成员粘附在菌株中的膳食聚糖颗粒上-
特异性和聚糖特异性方式。我们将首先确定家庭的粘附蛋白所需的这些
使用转座子诱变和插入位点测序的结合表型。接下来,我们将确定
相互作用的菌株网络,共同粘附在饮食颗粒上。使用口服给药的
荧光标记的珠子,我们将绘制与菌株,
在同一个宿主体内共同进化最后,我们将建立一个突变选择策略,
允许在遗传上难处理的肠道微生物中同时产生不同的结合特异性。
对这些突变的分析将揭示粘附依赖的种间关系的潜在起源。
这些研究将揭示肠道微生物群的空间结构不明确。我们的技术
在这项建议中,开发有望作为有意定位微生物成员的一种手段,
预防或改善代谢、免疫和感染的物理配置中的社区
疾病
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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{{ truncateString('Michael L Patnode', 18)}}的其他基金
Metabolic And Spatial Competition For Dietary Fiber Between Commensal And Pathogenic Gut Microbes
共生肠道微生物和致病肠道微生物之间膳食纤维的代谢和空间竞争
- 批准号:
10132316 - 财政年份:2020
- 资助金额:
$ 37.86万 - 项目类别:
Metabolic And Spatial Competition For Dietary Fiber Between Commensal And Pathogenic Gut Microbes
共生肠道微生物和致病肠道微生物之间膳食纤维的代谢和空间竞争
- 批准号:
10327331 - 财政年份:2020
- 资助金额:
$ 37.86万 - 项目类别:
Metabolic And Spatial Competition For Dietary Fiber Between Commensal And Pathogenic Gut Microbes
共生肠道微生物和致病肠道微生物之间膳食纤维的代谢和空间竞争
- 批准号:
10545761 - 财政年份:2020
- 资助金额:
$ 37.86万 - 项目类别:
Mechanisms for Selective Modulation of Beneficial Human Gut Microbes by Specific Dietary Plant Polysaccharides
特定膳食植物多糖选择性调节有益人类肠道微生物的机制
- 批准号:
9124214 - 财政年份:2016
- 资助金额:
$ 37.86万 - 项目类别:
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