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Systems metabolic engineering of Streptomyces venezuelae for the enhanced production of pikromycin

Authors
Cho, Min KyungLee, Byung TaeKim, Hyun UkOh, Min-Kyu
Issue Date
8월-2022
Publisher
WILEY
Keywords
gene manipulation targets; genome-scale metabolic model; pikromycin; Streptomyces venezuelae; systems metabolic engineering
Citation
BIOTECHNOLOGY AND BIOENGINEERING, v.119, no.8, pp.2250 - 2260
Indexed
SCIE
SCOPUS
Journal Title
BIOTECHNOLOGY AND BIOENGINEERING
Volume
119
Number
8
Start Page
2250
End Page
2260
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/146619
DOI
10.1002/bit.28114
ISSN
0006-3592
Abstract
Pikromycin is an important precursor of drugs, for example, erythromycin. Hence, systems metabolic engineering for the enhanced pikromycin production can contribute to the development of pikromycin-related drugs. In this study, metabolic genes in Streptomyces venezuelae were systematically engineered for enhanced pikromycin production. For this, a genome-scale metabolic model of S. venezuelae was reconstructed and simulated, which led to the selection of 11 metabolic gene targets. These metabolic genes, including four overexpression targets and seven knockdown targets, were individually engineered first. Next, two overexpression targets and two knockdown targets were selected based on the 11 strains' production performances to engineer two to four of these genes together for the potential synergistic effects on the pikromycin production. As a result, the NM1 strain with AQF52_RS24510 (methenyltetrahydrofolate cyclohydrolase/methylenetetrahydrofolate dehydrogenase) overexpression and AQF52_RS30320 (sulfite reductase) knockdown showed the best production performance among all the 22 strains constructed in this study. Fed-batch fermentation of the NM1 strain produced 295.25 mg/L of pikromycin, by far the best production titer using the native producer S. venezuelae, to the best of our knowledge. The systems metabolic engineering strategy demonstrated herein can also be applied to the overproduction of other secondary metabolites using S. venezuelae.
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