Matches in UGent Biblio for { <https://biblio.ugent.be/publication/830352#aggregation> ?p ?o. }
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- aggregation classification "C3".
- aggregation creator B102799.
- aggregation creator B102800.
- aggregation creator B102801.
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- aggregation date "2008".
- aggregation hasFormat 830352.bibtex.
- aggregation hasFormat 830352.csv.
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- aggregation hasFormat 830352.didl.
- aggregation hasFormat 830352.doc.
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- aggregation hasFormat 830352.yaml.
- aggregation language "eng".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Identification of essential mutations for the optimization of succinate production with E. coli".
- aggregation abstract "The environmental concerns and the increasing scarcity of oil are factors prompting the renewed interest in so called green production processes, based on renewable feedstocks. One of the products that has become the focus of the bio-based industry, next to bio-ethanol and bio-diesel, is succinic acid. This compound has been designated in 2004 as one of the top twelve added value chemicals (1) and has ever since enjoyed increasing attention of both the scientific community and industry. In this work, we present a novel way to evaluate candidate targets for gene disruption or enhanced expression for the production of chemicals from renewable feedstocks. By analysing elementary flux modes data (2) with partial least squares regression (3) we were able to identify several gene targets. This strategy yielded easily a 30% glucose carbon conversion to succinate and a maximal volumetric succinate production rate of 3 g/l/h in aerobic conditions. A key to production revealed by the model is enhanced succinate efflux. This was achieved by overexpressing the anaerobic C4-dicarboxylic acid exporter protein DcuC and knocking out the aerobic C4-dicarboxylic acid importer protein DctA. By merely adding this system to a succinate dehydrogenase negative E. coli strain the succinate yield was increased about 45% (c-mole/c-mole glucose) and the specific production rate about 40% (c-mole/c-mole biomass/h). Such a “pull” methodology has, to our knowledge, never been reported before and seems to be a very promising tool to enhance yields and production rates. The model also pointed to the fact that an upregulated glycolysis is essential for succinate production. A first step towards a higher flux through the glycolysis was knocking out the first reaction of the Entner Douderoff route. This yielded the peculiar result of a doubling in growth rate, which evidently led to an increase in specific production rate. It can be concluded that this novel model based approach for identifying gene targets has been implemented successfully for succinate production. In the future, this methodology can easily be applied to other industrial interesting compounds. References 1. Werpy, T., Petersen, G., Aden, A., Bozell, J., Holladay, J., White, J., and Manheim, A. (2004) Top Value Added Chemicals from Biomass. Volume I: Results of Screening for Potential Candidates from Sugar and Synthesis Gas. In., US Department of Energy, Oak Ridge, USA 2. von Kamp, A., and Schuster, S. (2006) Bioinformatics 22(15), 1930-1931 3. Wold, S., Sjostrom, M., and Eriksson, L. (2001) Chemometrics and Intelligent Laboratory Systems 58(2), 109-130".
- aggregation authorList BK263841.
- aggregation isDescribedBy 830352.
- aggregation similarTo LU-830352.