Difference between revisions of "Cellular growth"

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== Parameters with uncertainty ==
 
== Parameters with uncertainty ==
  
In our model, the number of cells is described by a six-parameter Baranyi–Roberts model which takes into account the lag phase by using an adjustment function. In this model, the natural logarithm of the cell concentration is:
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In our model, the number of cells is described by a six-parameter Baranyi–Roberts model</math><ref name="Baranyi1994"></ref></math><ref name="Baranyi1993"></ref> which takes into account the lag phase by using an adjustment function. In this model, the natural logarithm of the cell concentration is:
  
  

Revision as of 11:55, 16 January 2019

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Our simulations include hours of cell culture growth in some cases (simulated experimental time, not computational time). Thus, in addition to the dynamics of the regulatory network, we also need to take into account the effects of cell growth. The volume of a single cell is increasing from the beginning of the cell cycle until the moment it divides into two daughter cells and the molecules included in the initial cell are distributed between the two new ones. As a consequence, the cellular growth introduces a dilution in the concentration of the cellular species, which is represented in our deterministic model by adding a dilution term - μ \cdot Χ in the Ordinary Differential Equations (ODEs) of all species, with the exception of the autoinducer in the environment C_{e}.

Parameters

The growth rate of the cells is represented by the parameter Failed to parse (PNG conversion failed; check for correct installation of latex and dvipng (or dvips + gs + convert)): μ . In our model, the number of cells is described by a six-parameter Baranyi–Roberts model. [1] [2] In order to confirm that the estimated doubling time is realistic, we compared it to values derived from published data on S. coelicolor growth rate under different environmental conditions.

Name Value Units Value in previous GBL models [3] [4] Remarks-Reference
Failed to parse (PNG conversion failed; check for correct installation of latex and dvipng (or dvips + gs + convert)): τ 64.8−297.06 [5][6] [7]  min 6.7 \cdot 10^{-5} s^{-1} (μ=0.00402 min^{-1}, τ=172.4 min)[3]

6 \cdot 10^{-5} s^{-1} (μ=0.0036 min^{-1}, τ=192.5 min)[4]

Range tested: 0-10^{-4} s^{-1}

(μ=0-0.006 min^{-1}, τ=0-115.5 min )

Bistability range: 0-10^{-4} s^{-1}[3]

(μ=0-0.006 min^{-1}, τ=0-115.5 min)

and 6 \cdot 10^{-5}-8 \cdot 10^{-5} s^{-1}[4]

(μ=0.0036-0.0048 min^{-1}, τ=144.4-192.5 min)

In a study on comparison between turbimetric and gravimetric techniques for the measurements of specific growth rates of streptomycetes, Flowers et al. reported growth rate values in the range of 0.249-0.642 h^{-1} (0.00415-0.011 min^{-1}). The reported doubling times were in the range of 1.08-2.79 h (64.8-167.4 min).
Flowers et al. 1977[5]

Additionally, Melzoch et al. studied the observed growth rates of S. coelicolor in variously limited chemostat cultures and reported a maximum growth rate of 0.14 h^{-1} (0.0023 min^{-1}, τ=297.06 min)

Melzoch et al. 1997[7]

These values are comparable with the findings of R.A. Cox, who reported genomic properties and macromolecular compositions of Streptomyces coelicolor A3(2). The largest growth rate was 0.3 h^{-1} (0.005 min^{-1},τ=138.6). He noted that the maximum specific growth rate, is attained when cells are amply supplied with the most favourable nutrients.

Cox et al. 2004[6]

Parameters with uncertainty

In our model, the number of cells is described by a six-parameter Baranyi–Roberts model</math>[1]</math>[2] which takes into account the lag phase by using an adjustment function. In this model, the natural logarithm of the cell concentration is:




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References