Invasion and Exclusion by Enterococcus faecalis in the Manduca gut community
Invasion and Exclusion by Enterococcus faecalis in the Manduca gut community
批准号:
8775680
负责人:
RONALD R BREAKER
金额:
$27.57万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-12-07 至 2015-11-30
关键词:
AddressAffectAnimalsAntibioticsBacillus thuringiensisBacteriaBehaviorBehavioral GeneticsBiochemical GeneticsBiologicalChemicalsCoinCollaborationsColon CarcinomaCommunicable DiseasesCommunitiesCommunity HealthComplexCore FacilityDiseaseEcologyEnterococcusEnterococcus faecalisEnvironmentExclusionGenesGeneticGenetic studyGenomicsGenotypeGoalsHealthHigh-Throughput Nucleotide SequencingHumanImageInsectaInstitutesInterventionIntronsInvadedLaboratoriesLifeLinkManducaManduca sextaMarriageMass Spectrum AnalysisMental DepressionMetabolicMetagenomicsMicroarray AnalysisMicrobiologyMinnesotaModelingMutationNatureNutrientOrganismPathogenesisPathogenicityPeptidesPharmaceutical PreparationsPhenotypePlantsPopulationPortraitsProbioticsProcessResearchResearch PersonnelResistanceRoleSamplingSequence AnalysisSex AttractantsSignaling MoleculeSiteSmall RNASoilSystemSystems TheoryTechnologyUniversitiesWorkbasedesigndifferential expressiongene discoverygenetic analysisinnovationluminescencemetabolomicsmicrobialmicrobial communitymutantnovelpathogenpreventprofessorresponsetooltranscriptomics
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Modulating microbial communities for human health requires understanding the response of communities to
invaders, but little is known about the mechanistic bases for community invasion. Our goal is to determine the
genetic basis for invasion in the simple model, the gut community of Manduca sexta, and determine the impact
of invasion on the meta-metabolome of the host-community complex.
We will identify genes involved in invasion and then determine their role in competition and cooperation in the
community and their impact on the metabolome to generate hypotheses about the role of signal molecules,
antibiotics, and nutrients in community interactions.
The project's innovation derives from the marriage of systems-level analysis of metabolite profiles with
reductionist genetic analysis, the application of genetics to community-level phenotypes, quantification of
microbial populations with luminescence imaging in live animals, and cutting edge chemical technology. The
work has the potential to advance the field of microbial community ecology by providing a basis for deriving
models about community behavior in the face of perturbation that may apply directly to human health.
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