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Open AccessArticle

Metabolomic and Transcriptomic Analyses of Escherichia coli for Efficient Fermentation of L-Fucose

1
Department of Biotechnology, Graduate School, Korea University, Seoul 02841, Korea
2
Forest Product Analysis and Certification Division, Korea Forestry Promotion Institute, Seoul 07570, Korea
*
Author to whom correspondence should be addressed.
Mar. Drugs 2019, 17(2), 82; https://doi.org/10.3390/md17020082
Received: 29 December 2018 / Revised: 22 January 2019 / Accepted: 24 January 2019 / Published: 29 January 2019
(This article belongs to the Collection Marine Polysaccharides)
L-Fucose, one of the major monomeric sugars in brown algae, possesses high potential for use in the large-scale production of bio-based products. Although fucose catabolic pathways have been enzymatically evaluated, the effects of fucose as a carbon source on intracellular metabolism in industrial microorganisms such as Escherichia coli are still not identified. To elucidate the effects of fucose on cellular metabolism and to find clues for efficient conversion of fucose into bio-based products, comparative metabolomic and transcriptomic analyses were performed on E. coli on L-fucose and on D-glucose as a control. When fucose was the carbon source for E. coli, integration of the two omics analyses revealed that excess gluconeogenesis and quorum sensing led to severe depletion of ATP, resulting in accumulation and export of fucose extracellularly. Therefore, metabolic engineering and optimization are needed for E. coil to more efficiently ferment fucose. This is the first multi-omics study investigating the effects of fucose on cellular metabolism in E. coli. These omics data and their biological interpretation could be used to assist metabolic engineering of E. coli producing bio-based products using fucose-containing brown macroalgae. View Full-Text
Keywords: fucose; fermentation; metabolomics; transcriptomics; Escherichia coli; brown macroalgae fucose; fermentation; metabolomics; transcriptomics; Escherichia coli; brown macroalgae
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MDPI and ACS Style

Kim, J.; Cheong, Y.E.; Jung, I.; Kim, K.H. Metabolomic and Transcriptomic Analyses of Escherichia coli for Efficient Fermentation of L-Fucose. Mar. Drugs 2019, 17, 82.

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