Project 4: Meta-Omics of Microbial Communities Involved in Bioremediation
项目 4:参与生物修复的微生物群落的元组学
基本信息
- 批准号:8382051
- 负责人:
- 金额:$ 33.19万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AerobicBacteriaBehaviorBiodegradationBiological MarkersBioremediationsCarcinogensCell SeparationCharacteristicsCommunitiesComplexCustomDNADegradation PathwayDiagnosticDioxanesEngineeringEnvironmentEnvironmental PollutionFlow CytometryFluorescent in Situ HybridizationGene ExpressionGene Expression ProfileGenesGenomicsGoalsHumanIn SituKnowledgeMapsMass Spectrum AnalysisMessenger RNAMetabolicMetabolismMetagenomicsMicrobiologyModelingMolecularMultivariate AnalysisOrganismOxidation-ReductionPathway interactionsPatternPerformancePhysiologicalPoisonProcessProcess AssessmentProtocols documentationReactionResearchSamplingShapesSignal Recognition ParticleSiteSolventsStructureSystemSystems BiologyTestingTimeTrichloroethyleneWaterbasedechlorinationdesignfunctional groupfungusinsightinterestmeetingsmetabolomicsmetagenomemetagenomic sequencingmicrobialmicrobial communitymicroorganismmineralizationnovelremediationresponsestable isotopesuperfund sitetool
项目摘要
Project 4: Meta-omics of Microbial Communities Involved in Bioremediation. Trichloroethene (TCE), a
common chlorinated solvent, and 1,4-dioxane (dioxane), a solvent stabilizer, both are frequent groundwater
contaminants at Superfund sites. Although microbial degradation reactions can effectively transform these
contaminants, lack of a holistic and ecologically relevant understanding of the interspecies complexity of
subsurface microbial communities impedes the application of robust and effective in situ bioremediation of
these compounds. The overall goal of this research is to identify and examine the community-level metabolic
interactions that shape the biodegradation capabilities of bioremediating communities. The fundamental
understanding of microbial communities from a systems microbiology point of view will be developed by
utilizing community-scale tools on two dissimilar model communities that function within different redox
environments, i.e. anaerobic and aerobic, to remediate TCE and dioxane, respectively. We hypothesize that
important interspecies interactions and keystone functions that regulate multiple community behaviors will be
identified by applying an integrated meta-omics based approach, which in turn will provide insights to
facilitate engineering efficient bioremediation processes. DNA-based stable isotope probing will be used to
distinguish and identify functional organisms and the important interdependent relationships within
communities capable of biodegrading TCE or dioxane. Targeted metagenomic analyses will then be
employed to reveal the metabolic and functional diversity of interdependent biodegrading organisms and
their supporting or inhibiting partners in the communities. Comprehensive metatranscriptomic analyses
based on mRNA-targeted microarrays will be employed to investigate the global gene expression in the
communities under different environmental perturbations in order to reveal microbial behaviors in response
to the changes. In order to design diagnostic tools that can be applied to query environmental samples at
TCE and dioxane-contaminated sites, we will identify and validate quantitative biomarkers for key metabolic
as well as interacting genes using quantitative expression analyses in conjunction with community
metabolite-analyses. Finally, we will apply the diagnostic tools developed throughout the research to
examine environmental samples to assess microbial behaviors and interactions in these samples in order to
guide and optimize in situ bioremediation strategies.
项目4:参与生物修复的微生物群落元组学。三氯乙烯(TCE
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)
专利数量(0)
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MARTYN T SMITH其他文献
MARTYN T SMITH的其他文献
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{{ truncateString('MARTYN T SMITH', 18)}}的其他基金
Genetic Susceptibility to Non-Hodgkins Lymphoma
非霍奇金淋巴瘤的遗传易感性
- 批准号:
7123953 - 财政年份:2003
- 资助金额:
$ 33.19万 - 项目类别:
Genetic Susceptibility to Non-Hodgkins Lymphoma
非霍奇金淋巴瘤的遗传易感性
- 批准号:
6806520 - 财政年份:2003
- 资助金额:
$ 33.19万 - 项目类别:
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