Genetic basis and pathogenicity of invasive growth in yeast
Genetic basis and pathogenicity of invasive growth in yeast
批准号:
8618629
负责人:
Ian Michael Ehrenreich
金额:
$23.97万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-12-01 至 2015-11-30
关键词:
AllelesAnimal ModelAnimalsAntifungal AgentsBackcrossingsBiological ModelsCandidaCandida albicansCarbonCause of DeathCessation of lifeChromosome MappingClinicalDetectionDiploidyEngineeringEnsureEnvironmentEnvironmental Risk FactorEthanolExhibitsGene TargetingGenesGeneticGenetic EngineeringGenetic PolymorphismGenetic VariationGenomicsGenotypeGlucoseGrowthHumanImmune systemImmunocompromised HostInfectionLarvaLightMeasuresMicrobeMicroscopyModelingMolecularMothsMusMycosesOrganismPaperParentsPartner in relationshipPathogenesisPathogenicityPatientsPhenotypePhysiologicalPloidiesRelative (related person)ReproductionResearchResourcesSaccharomyces cerevisiaeSaccharomycetalesSamplingSourceSurfaceSystemTechniquesTemperatureTestingTimeVariantVirulenceWaxesWorkYeastsbaseclinically relevantfungusgenetic variantgenome sequencinghuman tissueimprovedmouse modelpathogenpublic health relevanceresearch studytooltrait
中文摘要
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英文摘要
Project Summary
Project summary: Fungi are a major source of clinical infections, especially among patients with
compromised immune systems. The mechanisms fungi use to colonize human hosts are not fully understood,
but are thought to often involve invasive growth. Specifically, many fungi are capable of attaching to and
penetrating surfaces, such as those of human tissues. Saccharomyces cerevisiae, which is known to colonize
immunocompromised humans, is a valuable model for understanding the environmental triggers and genetic
mechanisms that underlie invasive growth in fungi. Although the S. cerevisiae reference strain S288C does not
exhibit invasive growth, we have found that many ecologically and genetically diverse isolates can grow
invasively, with expression of the trait often dependent on specific environmental conditions. In this proposal,
(Aim 1) we use a combination of genetic mapping and genetic engineering to identify genes that cause
variability in invasive growth among clinical isolates of S. cerevisiae. We conduct our genetic mapping studies
in a panel of 2,880 segregants derived from the mating of 5 diverse strains in all 10 possible pairwise
combinations. Once causal loci have been identified, we will use genetic engineering techniques to resolve
these loci to specific genes and genetic variants. (Aim 2) We then test the potential relevance of the identified
causal variants by infecting wild isolates and engineered strains into an animal model. We will inoculate the
strains into a large number of wax moth larvae, which are commonly used to study the virulence of microbes,
and measure the extent to which the strains cause sickness or death. Completion of the proposed research will
provide detailed information about the genetic and environmental causes of invasive growth, and will also shed
light on the potential clinical relevance of the identified alleles. Relevance: Cases of fungal pathogenesis are
on the rise, with more than 500 species of fungi identified in human infections to date. Genetic approaches
provide powerful tools for identifying the molecular mechanisms underlying pathogenesis in fungi. However,
common opportunistic pathogens, such as Candida albicans, suffer from major limitations as genetic systems
due to their inability to sexually reproduce in the lab. Isolates of S. cerevisiae exhibit substantial variability in
the types of pathogenicity traits they exhibit, as well as the conditions in which these traits are expressed. To
determine genetic and environmental factors that are involved in fungi attaching to and penetrating surfaces,
which is thought to contribute to pathogenesis, we will perform genetic mapping experiments using multiple
isolates of S. cerevisiae that were sampled from immunocompromised humans. The proposed research will
improve general understanding of fungal pathogenesis and may identify potential targets for new antifungal
drugs.
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会议论文
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Genetic basis and pathogenicity of invasive growth in yeast
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Defining the genomic architecture of expression quantitative traits
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财政年份:2009
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负责人:Ian Michael Ehrenreich
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依托单位:
Defining the genomic architecture of expression quantitative traits
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财政年份:2009
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负责人:Ian Michael Ehrenreich
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依托单位:
海外基金