grant

Parallel phenotyping to dissect genetic determinants of bacterial strain diversity

Organization UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAHLocation SALT LAKE CITY, UNITED STATESPosted 9 Aug 2022Deadline 31 Jul 2027
NIHUS FederalResearch GrantFY2025AcuteAddressAntibiotic AgentsAntibiotic DrugsAntibiotic TherapyAntibiotic TreatmentAntibioticsBacteriaBacterial GenesBacterial GenomeBacterial InfectionsBar CodesBiodiversityBioinformaticsBiologicalBiological DiversityCatalogsCharacteristicsChronicClinicalCommunicable DiseasesCreativenessDNA mutationDataDevelopmentDiagnosticDiseaseDisorderDrug ExposureEnvironmentExperimental GeneticsFoundationsGWA studyGWASGenesGeneticGenetic ChangeGenetic DeterminismGenetic DiversityGenetic VariationGenetic defectGenetic mutationGenomic approachGenomicsGenotypeHeterogeneityHumanImpairmentIn VitroIncidenceInfectionInfectious DiseasesInfectious DisorderLinkLong-term infectionM aviumM tbM tuberculosisM. aviumM. tbM. tuberculosisMapsMeasurementMethodsMiceMice MammalsMicrobeMiscellaneous AntibioticModern ManMolecularMorbidityMorbidity - disease rateMurineMusMutationMycobacterium aviumMycobacterium tuberculosisOpportunistic InfectionsOrganismPathogenesisPathogenicityPathway interactionsPhenotypePostdocPostdoctoral FellowPredispositionResearchResearch AssociateSusceptibilityTechniquesTechnologyTestingTherapeuticTreatment outcomeVaccinationVaccinesVirulenceWorkanti-microbialanti-microbial resistance emergenceantibiotic toleranceantimicrobialantimicrobial resistance emergencebacteria infectionbacterial diseasebacterial disease treatmentbacterial fitnessbacterial infectious disease treatmentbarcodebiologiccatalogchronic infectionclinical relevanceclinically relevantcomparative genomicscreativitydesigndesigningdevelopmentaldisease phenotypedrug efficacyemerging anti-microbial resistanceemerging antimicrobial resistanceemerging pathogenexperimentexperimental researchexperimental studyexperimentsfitnessgenetic determinantgenome mutationgenome wide associationgenome wide association scangenome wide association studygenomewide association scangenomewide association studygenomic effortgenomic strategyimprovedin vivoinsightinterestliving systemmicrobialmouse modelmtbmurine modelmycobacterialnew approachesnew pathogennovelnovel approachesnovel pathogennovel strategiesnovel strategypathogenpathwaypersistent infectionphenotypic datapost-docpost-doctoralpost-doctoral traineeprogramspublic health interventionresearch associatesresponseresponse to therapyresponse to treatmentskillstherapeutic responsetherapeutically effectivetherapy responsetolerance to antibioticstolerate antibioticstooltraittreatment responsetreatment responsivenessvaccine efficacywhole genome association analysiswhole genome association study
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Full Description

PROJECT SUMMARY
All pathogens possess genetic diversity that can impact clinically relevant phenotypes such as virulence,

susceptibility to drugs, and vaccine efficacy. In the post-genomic era, our ability to catalog microbial genotypes

has far outstripped our capacity to profile microbial phenotypes. This limits our ability to build genotype-

phenotype maps for traits of interest and hinders the development of broadly effective new antimicrobials,

vaccines, and public health interventions. To address this challenge, I developed a molecular barcoding

approach that permits parallel fitness phenotyping of hundreds of bacterial clinical isolates in a single in vitro or

in vivo experiment. I developed and validated this novel approach in the pathogen Mycobacterium tuberculosis

and uncovered strain-specific differences in bacterial fitness during infection and following vaccination in the

mouse model. Here, I propose to use this novel tool to interrogate the genetic basis of phenotypic

heterogeneity in a related mycobacterial pathogen, Mycobacterium avium (MAC). MAC is an environmental

microbe that can cause chronic and treatment-recalcitrant infections and is increasing in incidence. A major

challenge in the management of MAC disease is the variability in disease course and treatment outcome, and

the bacterial determinants of this variability are unknown. Here, I will leverage my strain barcoding approach

and the natural biodiversity of this microbe to elucidate genetic determinants and molecular mechanisms of

MAC pathogenicity and antibiotic response. These efforts will inform the development of improved diagnostics

and therapeutics for this, and other, chronic bacterial infections. More broadly, this work will provide an

intellectual framework and experimental toolkit to uncover the biological basis of heterogeneity in infectious

disease phenotypes.

Grant Number: 5DP2AI171122-04
NIH Institute/Center: NIH

Principal Investigator: Allison Carey

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