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      Establishment of an optimized electroporation method for Halomonas sp. YK44 and its application in the coproduction of PHB and isobutanol

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          Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels.

          Global energy and environmental problems have stimulated increased efforts towards synthesizing biofuels from renewable resources. Compared to the traditional biofuel, ethanol, higher alcohols offer advantages as gasoline substitutes because of their higher energy density and lower hygroscopicity. In addition, branched-chain alcohols have higher octane numbers compared with their straight-chain counterparts. However, these alcohols cannot be synthesized economically using native organisms. Here we present a metabolic engineering approach using Escherichia coli to produce higher alcohols including isobutanol, 1-butanol, 2-methyl-1-butanol, 3-methyl-1-butanol and 2-phenylethanol from glucose, a renewable carbon source. This strategy uses the host's highly active amino acid biosynthetic pathway and diverts its 2-keto acid intermediates for alcohol synthesis. In particular, we have achieved high-yield, high-specificity production of isobutanol from glucose. The strategy enables the exploration of biofuels beyond those naturally accumulated to high quantities in microbial fermentation.
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            High efficiency transformation of E. coli by high voltage electroporation.

            E. coli can be transformed to extremely high efficiencies by subjecting a mixture of cells and DNA to brief but intense electrical fields of exponential decay waveform (electroporation). We have obtained 10(9) to 10(10) transformants/micrograms with strains LE392 and DH5 alpha, and plasmids pUC18 and pBR329. The process is highly dependent on two characteristics of the electrical pulse: the electric field strength and the pulse length (RC time constant). The frequency of transformation is a linear function of the DNA concentration over at least six orders of magnitude; and the efficiency of transformation is a function of the cell concentration. Most of the surviving cells are competent with up to 80% transformed at high DNA concentration. The mechanism does not appear to include binding of the DNA to the cells prior to entry. Possible mechanisms are discussed and a simple procedure for the practical use of this technique is presented.
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              Unsterile and continuous production of polyhydroxybutyrate by Halomonas TD01.

              An unsterile and continuous fermentation process was developed based on a halophilic bacterium termed Halomonas TD01 isolated from a salt lake in Xinjiang, China. The strain reached 80 g/L cell dry weight containing 80% poly(3-hydroxybutyrate) (PHB) on glucose salt medium during a 56 h fed-batch process. In a 14-day open unsterile and continuous process, the cells grew to an average of 40 g/L cell dry weight containing 60% PHB in the first fermentor with glucose salt medium. Continuous pumping of cultures from the first fermentor to the second fermentor containing the nitrogen-deficient glucose salt medium diluted the cells but allowed them to maintain a PHB level of between 65% and 70% of cell dry weight. Glucose to PHB conversions were between 20% and 30% in the first fermentor and above 50% in the second one. This unsterile and continuous fermentation process opens a new area for reducing the cost in polyhydroxyalkanoates production. Copyright © 2011 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Biotechnology and Bioprocess Engineering
                Biotechnol Bioproc E
                Springer Science and Business Media LLC
                1226-8372
                1976-3816
                April 2024
                March 15 2024
                April 2024
                : 29
                : 2
                : 339-351
                Article
                10.1007/s12257-024-00055-z
                e69c505f-2cbc-4d80-b4c1-e1e9dd236fcc
                © 2024

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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