Life Phases in a Bacterial Culture

Buchanan, R. E.

doi:10.1086/infdis/23.2.109

Cited by 102 publications

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“…The flasks are incubated in shaking or rotary water baths at 37ЊC until the cell concentration reaches 10 7 to 10 8 cells per ml, whereafter the cells are studied. The state of a population in a batch culture may be divided into several phases (5). When stationary-phase cells are inoculated into fresh medium, there is an initial lag phase with little increase in cell mass.…”

mentioning

confidence: 99%

Analysis of cell size and DNA content in exponentially growing and stationary-phase batch cultures of Escherichia coli

1995

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Escherichia coli strains were grown in batch cultures in different media, and cell size and DNA content were analyzed by flow cytometry. Steady-state growth required large dilutions and incubation for many generations at low cell concentrations. In rich media, both cell size and DNA content started to decrease at low cell concentrations, long before the cultures left the exponential growth phase. Stationary-phase cultures contained cells with several chromosomes, even after many days, and stationary-phase populations exclusively composed of cells with a single chromosome were never observed, regardless of growth medium. The cells usually contained only one nucleoid, as visualized by phase and fluorescence microscopy. The results have implications for the use of batch cultures to study steady-state and balanced growth and to determine mutation and recombination frequencies in stationary phase.

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confidence: 99%

Analysis of cell size and DNA content in exponentially growing and stationary-phase batch cultures of Escherichia coli

1995

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“…One way to model the lag growth phase is to separate the newly inoculated cells as active cells, X, and inactive cells, Y, and the time for Y to turn into X conforms to Pearson distribution expressed by Eqs. (4)-(7) [2].…”

Section: Modeling Of Microbial Cell Growthmentioning

confidence: 99%

“…The other methods used to predict the lag growth phase simply defined the lag time in terms of cell growth, t L [2,3]. One way to deal with the lag growth phase is to relate it with the changes of μ defined by Eq.…”

Section: Modeling Of Microbial Cell Growthmentioning

confidence: 99%

Computer Simulation of Bioprocess

Lin¹,

Gao²,

Lin³

et al. 2017

Computer Simulation

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Bioprocess optimization is important in order to make the bioproduction process more efficient and economic. The conventional optimization methods are costly and less efficient. On the other hand, modeling and computer simulation can reveal the mechanisms behind the phenomenon to some extent, to assist the deep analysis and efficient optimization of bioprocesses. In this chapter, modeling and computer simulation of microbial growth and metabolism kinetics, bioreactor dynamics, bioreactor feedback control will be made to show the application methods and the usefulness of modeling and computer simulation methods in optimization of the bioprocess technology.

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“…The idea of the bacterial life cycle was developed during the first two decades of this century, culminating in the description by Buchanan (1918) of different phases of the bacterial life cycle. This formulation was most complex, with lag, acceleration, early-, mid-and late-log, deceleration, stationary and death phases.…”

Section: The Bacterial Life Cyclementioning

confidence: 99%

The origins and meaning of the Schaechter-Maaloe-Kjeldgaard experiments

Cooper

1993

Journal of General Microbiology

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Life Phases in a Bacterial Culture

Cited by 102 publications

References 0 publications

Analysis of cell size and DNA content in exponentially growing and stationary-phase batch cultures of Escherichia coli

Analysis of cell size and DNA content in exponentially growing and stationary-phase batch cultures of Escherichia coli

Computer Simulation of Bioprocess

The origins and meaning of the Schaechter-Maaloe-Kjeldgaard experiments

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