Identifying Mutations that Promote Microbial Evolvability
Identifying Mutations that Promote Microbial Evolvability
批准号:
8217096
负责人:
Jeffrey Evan Barrick
金额:
$24.48万
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:
2009-03-01 至 2014-01-31
关键词:
AffectAntibiotic ResistanceBacteriaBiological AssayBiomedical ResearchBiotechnologyCell physiologyChemosensitizationChronicCoculture TechniquesCollectionDefectDisease ProgressionEnvironmentEscherichia coliEventEvolutionFrequenciesGene AmplificationGene DeletionGeneticGenetic AnticipationGenetic DriftGenomeGenomic InstabilityGenotypeHumanIncidenceInfectionInstructionKnowledgeLaboratoriesLeadMeasuresMetabolicMetabolismMicrobeMicrosatellite RepeatsModelingMolecularMutationOrganismPhysiologicalPoint MutationPopulationPopulation DynamicsPopulation GeneticsRelative (related person)ReporterResearchSeriesSpeedStatistical MethodsSystems BiologyTestingTimeVariantabstractingcase findingexpectationexperiencefitnessgenome sequencingimprovedinnovationmathematical modelmicrobialmicroorganismpathogenresearch studysimulationsuccesstrend
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Evolvability describes an organism's capacity for producing descendants that are better adapted to a given
environment. Mutations that elevate overall point mutation rates can make bacteria more evolvable under
certain circumstances and consequently speed the progression of chronic infections and increase the
incidence of antibiotic resistance. Little is currently known about how mutations affecting other cellular
processes impact microbial evolvability or about how evolvability typically varies as microorganisms
experience random mutations due to genetic drift or adapt by beneficial mutations to higher fitness.
The proposed research systematically investigates how different kinds of mutations affect the evolvability of
Escherichia coli in laboratory evolution experiments. The first aim is to test three strain series differing by
predominantly deleterious, beneficial, or random mutations to establish baseline expectations. The second
aim is to recover genotypes that eventually prevail over competitors of higher fitness because they are more
evolvable by chronicling mutation dynamics in evolution experiments using deep sequencing, highthroughput
genotyping, and deletion and microsatellite markers. The third aim is to construct chromosomal
reporters with selectable markers for measuring gene amplification and deletion rates. These reporters will
be used to isolate new kinds of genomic instability mutators and to examine whether a similar defect
potentiated the evolution of a rare metabolic innovation in a 20-year evolution experiment.
Throughout, evolvability will be measured on multiple time scales by comparing the initial divergence of
marker trajectories in replicate evolution experiments to population genetic simulations and by performing
co-culture competition assays between endpoint isolates and a reference strain. When a strain is found with
unusually high or low evolvability, the causal mutation will be identified by genome re-sequencing, and its
physiological consequences will be investigated to find out why it affects evolutionary potential.
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Identifying Mutations that Promote Microbial Evolvability
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批准号:8213191
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项目类别:
-
资助金额:$24.9万
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财政年份:2009
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负责人:Jeffrey Evan Barrick
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依托单位:
A mechanistic model of bacteriophage T7 infection, replication, and evolution
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批准号:10624298
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项目类别:
-
资助金额:$31.75万
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财政年份:2009
-
负责人:Jeffrey Evan Barrick
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依托单位:
Identifying Mutations that Promote Microbial Evolvability
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批准号:7644063
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项目类别:
-
资助金额:$9.0万
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财政年份:2009
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负责人:Jeffrey Evan Barrick
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依托单位:
Identifying Mutations that Promote Microbial Evolvability
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批准号:8413011
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项目类别:
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资助金额:$23.06万
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财政年份:2009
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负责人:Jeffrey Evan Barrick
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依托单位:
A mechanistic model of bacteriophage T7 infection, replication, and evolution
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批准号:10406315
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项目类别:
-
资助金额:$31.75万
-
财政年份:2009
-
负责人:Jeffrey Evan Barrick
-
依托单位:
A mechanistic model of bacteriophage T7 infection, replication, and evolution
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批准号:10224216
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项目类别:
-
资助金额:$31.75万
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财政年份:2009
-
负责人:Jeffrey Evan Barrick
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依托单位:
海外基金