Synchronized populations of Escherichia coli using simplified self-cycling fermentation

Sauvageau, Dominic; Storms, Zachary J.; Cooper, David G.

doi:10.1016/j.jbiotec.2010.06.018

Cited by 27 publications

(31 citation statements)

References 25 publications

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“…Samples of synchronized cultures were removed periodically from a SCF cycle corresponding to different points in the cell life cycle (Sauvageau et al ., ), and infected with bacteriophage to determine cell burst size and lysis time. Plotting these data against the average cell age of the culture displays the growth characteristics of the cells and the influence the cell cycle has on phage infection (Fig.…”

Section: Resultsmentioning

confidence: 97%

“…The bacteria was cultured and infected in a minimal salt medium (MSM) at 37 °C containing 3 g L −1 d ‐glucose and 0.025 g L −1 yeast extract, as previously described (Sauvageau et al ., ). Cultures with a synchrony index > 0.6 were generated using SCF according to a reactor set‐up and operating conditions previously described (Sauvageau et al ., ). Viable cell counts were performed using standard plate assays.…”

Section: Methodsmentioning

confidence: 99%

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Impact of the cell life-cycle on bacteriophage T4 infection

Storms

Brown

Cooper

et al. 2014

FEMS Microbiol Lett

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Synchronized Escherichia coli cultures were infected with bacteriophage T4 at discrete points in the cell growth cycle. The cell cycle had a significant impact on the outcome of infection. Cell burst size was smallest for newly formed cells and increased dramatically as these progressed in the cell cycle. The largest burst sizes were achieved when infecting cells immediately prior to cell division. When cells were infected during cell division, the burst size was reduced back to its initial value. Interestingly, lysis time was longest for young cells, reached a minimum at the same point that burst size reached its maximum value, and then increased at the commencement of cell division. Consequently, phage productivity in cells about to undergo cell division was almost three times greater than the productivity of young, newly formed cells. The availability of intracellular resources is believed to be the major driving force behind phage productivity during infection. Indeed, intracellular RNA contents at the time of infection were found to correlate strongly with phage productivity. There was no significant relationship between cell DNA levels and phage productivity. Finally, burst size experiments suggested that the cell cycle also influenced the likelihood of a phage to undergo productive infection.

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Section: Resultsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

Impact of the cell life-cycle on bacteriophage T4 infection

Storms

Brown

Cooper

et al. 2014

FEMS Microbiol Lett

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“…We previously reported on a proof-of-concept study showing how a manual cycling fermentation approach used for Saccharomyces cerevisiae significantly improved ethanol volumetric productivity and annual ethanol productivity-by 43.1 ± 11.6% and 33.1 ± 7.2%, respectively-compared to batch operation [5]. Self-cycling fermentation (SCF) is an automated semi-continuous fermentation technique in which the onset of stationary phase, identified in real-time by a monitoring parameter, such as dissolved oxygen or carbon dioxide evolution rate (CER) in aerobic systems [6][7][8][9], triggers a cycling process. At this point, half the volume of the culture is harvested and immediately replaced by fresh medium to start the next cycle.…”

Section: Introductionmentioning

confidence: 99%

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Wang

Chae

Bressler

et al. 2020

Biotechnol Biofuels

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Background: The growth of the cellulosic ethanol industry is currently impeded by high production costs. One possible solution is to improve the performance of fermentation itself, which has great potential to improve the economics of the entire production process. Here, we demonstrated significantly improved productivity through application of an advanced fermentation approach, named self-cycling fermentation (SCF), for cellulosic ethanol production. Results:The flow rate of outlet gas from the fermenter was used as a real-time monitoring parameter to drive the cycling of the ethanol fermentation process. Then, long-term operation of SCF under anaerobic conditions was improved by the addition of ergosterol and fatty acids, which stabilized operation and reduced fermentation time. Finally, an automated SCF system was successfully operated for 21 cycles, with robust behavior and stable ethanol production. SCF maintained similar ethanol titers to batch operation while significantly reducing fermentation and down times. This led to significant improvements in ethanol volumetric productivity (the amount of ethanol produced by a cycle per working volume per cycle time)-ranging from 37.5 to 75.3%, depending on the cycle number, and in annual ethanol productivity (the amount of ethanol that can be produced each year at large scale)-reaching 75.8 ± 2.9%. Improved flocculation, with potential advantages for biomass removal and reduction in downstream costs, was also observed. Conclusion:Our successful demonstration of SCF could help reduce production costs for the cellulosic ethanol industry through improved productivity and automated operation.

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“…A self-cycling fermenter (SCF) [1][2][3][4][5][6][7] consists of a controlled batch fermentation process [8,9] containing a limiting substrate, which is degraded by a microbial population. At the same time, the device is subject to successive emptyings of a constant fraction p 2 .0, 1/ of its total volume, which is replaced by an equivalent input containing fresh substrate.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of a self‐cycling fermentation model with state‐dependent impulse times

Córdova–Lepe

Valle

Robledo

2013

Math Methods in App Sciences

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Artículo de publicación ISIA self-cycling fermenter is a batch fermenter subject to recurrent emptyings of liquid volume followed by the refillingwith new fresh substrate. This article constructs amodified model of self-cycling fermenter, which is described by an impulsive differential equation at impulse-dependent times, which have been recently introduced. The main result is a set of conditions depending of the fraction of removed volume, the concentration of new substrate introduced, and the maximal length between two impulses, which ensure the existence and attractiveness of a periodic cycle. A second result provides alternative conditions for the biomass extinction.This work was supported by FONDECYT 1120218 and FONDECYT 1120709

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Synchronized populations of Escherichia coli using simplified self-cycling fermentation

Cited by 27 publications

References 25 publications

Impact of the cell life-cycle on bacteriophage T4 infection

Impact of the cell life-cycle on bacteriophage T4 infection

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Stability analysis of a self‐cycling fermentation model with state‐dependent impulse times

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