Comprehensive genetic characterization of antibiotic resistance
Comprehensive genetic characterization of antibiotic resistance
批准号:
7826389
负责人:
Saeed F Tavazoie
金额:
$39.06万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-06-01 至 2010-05-31
关键词:
Antibiotic ResistanceAntibioticsArchitectureBacterial GenomeBehaviorBinding SitesChemotaxisCommunitiesComplement Factor DComplexComputing MethodologiesDevelopmentEcologyElementsEscherichia coliFigs - dietaryFlagellaGene LibraryGenesGeneticGenetic EpistasisGenomeGoalsGram-Negative BacteriaHealthHoward Temin AwardHumanInterventionLeadLibrariesMedicalPathway interactionsPharmaceutical PreparationsPhenotypePhysiologyPlayPopulationRegulationResearchResistanceRoleSecond Messenger SystemsSigma FactorSignal PathwayTechnologyTimeWorkbasecell motilitycombatfight againstfitnessgenome-wideinterestknowledge of resultsmutantnoveltechnology developmenttrait
中文摘要
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英文摘要
We propose to develop and apply a comprehensive set of experimental and
computational methods for revealing the genetic basis of antibiotic tolerance in
Escherichia coli. At the core of our approach is a microarray-based genetic
footprinting technology that provides a global quantitative assessment of how
each and every gene in the genome contributes to survival under antibiotic
exposure. The identified genes will be placed within the context of genetic and
regulatory networks through the application of a novel genome-wide epistasis
analysis framework. We aim to explore both mild resistance to sub-lethal
antibiotic exposure and severe tolerance as expressed in the context of
`persistence'. Preliminary studies provide strong proof-of-principle evidence for
the framework we propose. Application of our approach to E. coli chemotaxis
identifies 95% of known loci on the time-scale of weeks, reveals the organization
of these loci into functional sub-modules, and identifies signaling pathways that
regulate the context-dependent expression of motility. Furthermore, in a
phenotype that has been extensively explored for over thirty year, we find three
dozen additional novel loci that contribute through diverse mechanisms including
the Rcs signaling pathway and cyclic-di-GMP second messenger system. The
application of our approach to mild and lethal antibiotic exposure has already
revealed more than a dozen loci whose genetic perturbations dramatically
increase antibiotic tolerance. The proposed work promises to significantly
expand the number of genes involved, and through the adjunct use of epistasis,
co-expression, and co-inheritance analysis, allow us to place these genes within
the context of genetic and regulatory networks. We expect our findings to
fundamentally advance the understanding of antibiotic resistance and to provide
the biomedical community with well-characterized pathways that serve as the
basis for the development of new drugs.
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批准号:8282982
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资助金额:$39.8万
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依托单位:
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资助金额:$53.08万
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依托单位:
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依托单位:
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Predictive Learning of Transcriptional Networks
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依托单位:
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依托单位:
海外基金