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Streptomyces Strain Improvement Using Interspecies DNA Microarray System | 8041
ISSN: 2153-0769

Metabolomics:Open Access
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Streptomyces strain improvement using interspecies DNA Microarray System

International Conference and Exhibition on Metabolomics & Systems Biology

Eung-Soo Kim

ScientificTracks Abstracts: J Comput Sci Syst Biol

DOI: 10.4172/0974-7230.S1.02

The bacterial genus Streptomyces has long been appreciated for its ability to produce various kinds of medically important secondary metabolites such as antibiotic actinorhodin (ACT) in S. coelicolor and anti-tumor doxorubicin (DXR) in S. peucetius . Although traditional random mutation has been one of the most widely-practiced strategies for Streptomyces strain improvement, genome sequencing, targeted-gene disruption, and omics-guided reverse engineering approaches were successfully used to identify, analyze, and modify specific biosynthetic and regulatory genes involved in most of the secondary metabolites in Streptomyces species. Here, I present an example of rational polyketide pathway redesign strategies through Streptomyces genome engineering. Recursive comparative transcriptome analyses using S. coelicolor microarrays, followed by sequential targeted-gene disruptions of independently-functioning regulatory as well as precursor flux-controlling systems could be synergistically optimized for ACT and DXR productions in Streptomyces species
Prof. Eung-Soo Kim, microbiologist and molecular biotechnologist, graduated from microbiology department, University of Minnesota, USA in 1994. He worked as a post-doctoral fellow at genetics department in Stanford University, USA during 1995-1997. Since 2001, he became the professor of biological engineering department at Inha University in Korea. He is currently an editorial board member of Society for Industrial Microbiology, USA, and an editor of Journal of Microbiology and Biotechnology. His current research focus is actinomycetes systems-&-synthetic biotechnology, omics- driven strain improvement, and novel drug-lead development.
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