Chemical Biology of Ant-Associated Defensive Bacteria
Chemical Biology of Ant-Associated Defensive Bacteria
批准号:
9045058
负责人:
Ethan Buggie Van Arnam
金额:
$5.61万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-06-01 至 2018-05-31
关键词:
Actinobacteria classAnti-Bacterial AgentsAntibioticsAntifungal AgentsAntsBacteriaBacterial GenomeBiological AssayBiologyChemicalsChemistryCoculture TechniquesCollectionCuesEcologyFarming environmentFoundationsFractionationGene ClusterGenesGenomicsGrowthLaboratoriesLeadLifeMass Spectrum AnalysisMediatingMicrobeNMR SpectroscopyNatural ProductsPanamaPhenotypeProbabilityProductionResearchResolutionSourceStructureSymbiosisSystemTechniquesTestingTherapeuticbasefeedingfungusgenome sequencingmembermetabolomicsmicrobialnovelnovel strategiespathogenpublic health relevancesmall moleculetooltranscriptome sequencingwhole genome
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The need for new antibiotics continues to grow more dire. Natural products from microbial sources have supplied the major pipeline for novel antibiotics, but traditional discovery efforts have yielded diminishing returns over the last severl decades, necessitating new approaches. This proposal uses the powerful approach of aligning chemical ecology with natural product discovery, exploiting the highly productive chemistry of bacteria associated with fungus-farming ants. These highly specialized ant-associated bacteria are thought to defend their niche using antibiotics against closely related competitors. The chemical basis of this antagonism has not been explored and is the foundation of this project. The first aim of this project is to screen ant-associated bacteria to identify antibacterial activiy and other chemically mediated interactions. Second, the molecules responsible for this activity will be identified and characterized. Genome sequencing will connect these active molecules to their biosynthetic gene clusters and also reveal which additional clusters are present but "silent"
- that is, no corresponding metabolites are observed. These "cryptic" biosynthetic clusters are a near-universal feature of bacterial genomes and are a major opportunity for antibiotic discovery. The third aim uses ecologically inspired co-culturing approaches to supply missing chemical cues that elicit production of some of these "cryptic" metabolites. These chemical inducers of antibiotic production will be identified, tested for general utility, and applied to elicit additioal cryptic metabolites.
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