Mapping the evolutionary landscape of a novel family of tetracycline resistance enzymes
Mapping the evolutionary landscape of a novel family of tetracycline resistance enzymes
批准号:
10481828
负责人:
Luke Evan Diorio-Toth
金额:
$3.27万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2024-08-31
关键词:
AcinetobacterAmino AcidsAntibiotic ResistanceAntibioticsBase SequenceBinding SitesBiochemicalCenters for Disease Control and Prevention (U.S.)CharacteristicsChemicalsClinicalCodon NucleotidesComputer AnalysisDetectionDevelopmentDiagnosticDirected Molecular EvolutionDistalEnvironmentEnzymesEvolutionFamilyFarmFlavinsGenerationsGenesGenomicsGoalsHealthHealthcareHospitalsHumanIndividualKnowledgeLibrariesMeasuresMedicalMixed Function OxygenasesModern MedicineMolecular EvolutionMorbidity - disease rateMutagenesisMutateMutationNatural ResistanceOxidesPathway interactionsPhylogenetic AnalysisPlasmidsPoint MutationProteinsPublic HealthRandomizedResearchResistanceResolutionResortResourcesRibosomesSamplingSiteStructureTestingTetanus Helper PeptideTetracycline ResistanceTetracyclinesWorkantibiotic effluxantineoplastic antibioticsclinically relevantcofactordeep sequencingdisabilitydrug resistant pathogenefflux pumpemerging antibiotic resistanceenzyme mechanismexperimental studyfitnessimprovedin vivoinhibitorinterestmortalitymulti-drug resistant pathogenmultidrug-resistant Pseudomonas aeruginosamutantnext generationnovelpathogenpredictive modelingpreservationpressurerational designresistance generesistance mechanismscreeningsynthetic biologytigecyclinewater sampling
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Tetracyclines are a vital class of antibiotics, but increasing resistance threatens their efficacy. Tetracycline re-
sistance is thought to mainly occur through antibiotic efflux and ribosomal protection. Increasingly, resistance
to late-generation tetracyclines, including antibiotics of last-resort, through enzymatic inactivation is being de-
tected in environmental and clinical samples. These enzymes, known as tetracycline destructases, are now
widely recognized as a clinically-relevant resistance mechanism. Despite recent interest in these enzymes, the
precise sequence requirements that distinguish them from other flavoenzymes, and enable activity towards
tetracyclines is unclear. To fill these gaps in knowledge, I will use a combination of bacterial genomics, syn-
thetic biology, and molecular evolution. The long-term goal for this proposal is to better understand the evolu-
tionary origins and structural features of tetracycline destructases in order to rationally design better diagnos-
tics and inhibitors to re-store efficacy of this vital class of antibiotics before they become a widespread cause of
morbidity and mortality. I propose two independent, yet complementary specific aims: (1) Characterize the se-
quence-structure-function space of tetracycline destructases, and (2) Determine the capacity of related fla-
voenzymes to evolve tetracycline inactivation activity. The first aim will test the hypothesis that the sequence
determinants of FMO evolution toward tetracycline inactivation include regions that are structurally distal to
substrate and cofactor binding sites. I will perform deep sequencing of randomized single-codon libraries of
different tetracycline destructases that are selected for resistance to different generations of tetracycline antibi-
otics and chemical inhibitors. Computational analysis of selected libraries will reveal sites on the enzymes that
are heavily selected for substrate-specific activity. The second aim will test the hypothesis that tetracycline de-
structases have evolutionary origins in tetracycline biosynthetic pathways. I will perform directed evolution on
phylogenetically-related flavoenzymes using iterative cycles of mutagenesis and selection with tetracycline an-
tibiotics until these enzymes confer levels of resistance that are comparable to tetracycline destructases. Se-
quencing of clones will reveal the residues or domains which optimize these enzymes towards tetracycline ac-
tivity. The proposed research is significant because antibiotic resistance is a public health crisis, and tetracy-
cline destructases that degrade all known tetracyclines are already widely distributed in the environment. The
proposed research is impactful because it provides a comprehensive and high-resolution understanding of the
sequence-structure-function space of these enzymes, which will aid in the proactive development of co-thera-
peutic and diagnostic agents that have the potential to mitigate this emerging threat.
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Mapping the evolutionary landscape of a novel family of tetracycline resistance enzymes
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批准号:10686080
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项目类别:
-
资助金额:$5.27万
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财政年份:2021
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负责人:Luke Evan Diorio-Toth
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依托单位:
海外基金