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Discovery of Naturally-occurring broad-spectrum cyclic antibiotics from Paenibacillus alvei
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Medical Microbiology & Diagnosis

ISSN: 2161-0703

Open Access

Discovery of Naturally-occurring broad-spectrum cyclic antibiotics from Paenibacillus alvei


Joint Conference on 6th Annual Conference on Microbiology & Annual Conference on Microbes and Beneficial Microbes

October 16-17, 2017 Baltimore, USA

Jie Zheng

Food and Drug Administration, USA

Scientific Tracks Abstracts: J Med Microb Diagn

Abstract :

The rise of antimicrobial resistance necessitates the discovery and/or production of novel antibiotics. Naturally-occurring gram-positive bacteria identified as Paenibacillus alvei were isolated from plants native to the Virginia Eastern Shore tomato growing region and used as biocontrol strain against Salmonella on tomato plant. The strains were also showed broadspectrum antimicrobial activity against gram-negative and gram-positive foodborne pathogens. A novel class of broadspectrum antibiotic compound was identified with genome mining and multiple-stage tandem mass spectrometry.

Biography :

Jie Zheng currently serves as a Research Microbiologist in the Molecular Methods and Subtyping Branch (MMSB) within the Division of Microbiology at the Food and Drug Administration (FDA) Center for Food Safety and Applied Nutrition (CFSAN). Dr. Zheng received her Ph.D. in Food Science from University of Maryland at College Park, MD in 2006. Dr. Zheng joined the laboratories at CFSAN in 2008 after her two-year post-doc training at UMD. She has been engaged in development of SNP-based detection, identification and subtyping methods for various phyletic and pathovar divisions of pathogenic Salmonella. Dr. Zheng is one of the PIs on the newly formed Human Pathogens on Plants (HPOP) research group where she focuses on her research in Salmonella adaptation in food matrix and plant using next generation sequencing technology and development of related intervention strategies. Jie

Google Scholar citation report
Citations: 14

Medical Microbiology & Diagnosis received 14 citations as per Google Scholar report

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