Transcription of r

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The scbR gene is transcribed into scbR mRNA (r).

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Chemical equation

O_{R} \rightarrow O_{R} + r

Rate equation

 r= T_{R}\cdot [O_{R}] (for overlapping promoters)
 r= \Omega_{R}\cdot [O_{R}] (for isolated promoters)

Parameters

The parameters of this reaction are the transcription rate of scbR (T_{R} and the firing rate k_{F}). The transcription rate is derived by the strength of the promoter (\Omega_{R}) but also taking into account the transcriptional interference by the scbA promoter. In this model, we have assumed that the isolated promoter strength is equal to the number of transcripts produced per unit of time. Therefore, the parameter \Omega_{R} is assumed to be equal to the transcription rate constant of the isolated promoter. These parameter values were derived from published data on E.coli mRNA transcription rate and calculations based on genomic properties of Streptomyces coelicolor A3(2). Additionally, the firing rate (elongation initiation rate) constant (k_{F}) is needed to test the strength of each promoter. This parameter is also derived from literature and is sampled from the same distribution for both scbR and scbA promoters, but is then multiplied by a heterogeneity factor \chi to calculate the final k_{F_R} for the scbR promoter. The heterogeneity factor for each promoter is sampled from a log-normal distribution.

Name Value Units Value in previous GBL models [1] [2] Remarks-Reference
\Omega_{R} 0.16−8.24 [3] [4] [5]  min^{-1} 0.18 s^{-1}

(10.8 min^{-1})[1] 0.15 s^{-1} (9 min^{-1})[2]

Range tested:

10^{-4}-10 s^{-1}

(0.006-600 min^{-1})

Bistability range:

0.13-0.2 s^{-1}[1]

(7.8-12 min^{-1})

and 0.0075-0.3 s^{-1}[2]

(0.45-18 min^{-1})

In a recent publication by R.A. Cox, genomic properties and macromolecular compositions of Streptomyces coelicolor A3(2) and E.coli were reported, along with equations that connect these properties. For S. coelicolor, the polypeptide elongation rate ε_{aa} is reported to be in the range between 0.59 and 3.17 amino acids s-1, from which the mRNA elongation rate can be calculated according to Cox from the equation ε_{mRNA}= 3ε_{aa} (factor 3 reflects the number of nucleotides per codon), therefore resulting in 1.77 and 9.51 nucleotides \cdot s^{-1} as minimum and maximum values respectively. As ScbR has 648 pb, the transcription rate constant can be calculated as per \Omega_{R}=\frac{648 bp/gene}{1.77 bp/s}=366.1 s/gene=6.1 min/gene and \Omega_{R}=\frac{648 bp/gene}{9.51 bp/s}=68.14 s/gene=1.14 min/gene, thus resulting in the final values of 0.16 and  0.88 min^{-1} .
  • Cox et al. 2004[3]
  • Cox et al. 2004[3]

Additionally, Bremer et al. have reported an mRNA transcription rate of 55 noucleotides/s for E. coli, a value which is also shared by R.A. Cox, while Vogel et al. have published a range of mRNA transcription rates in the range of 28-89 noucleotides/s, depending on different growth rates of E. coli. By the same calculations, the corresponding transcription rate constants are  5.09 min^{-1} and  2.59-8.24 min^{-1} .

  • Bremer et al. 2004[4]
  • Vogel et al. 2004[5]
k_{F} 18.2−33 [6] [7] [8]  min^{-1} N/A Pai et al. reported a typical transcription initiation rate in QS systems to be 20 min^{-1}.
Pai et al. 2009 [6]

This value is also supported by Kennell et al. who calculated the transcription initiation rates from experimental data derived from in vitro experiments using E. coli. The results showed one initiation every 3.3 sec (therefore transcription rate 18.2 min^{-1}).

Kennell et al. 1977 [8]

Finally, Tadmor et al. reported a maximum transcription initiation rate of 33 min^{-1} in E. coli based on observational data.

Tadmor et al. 2008 [7]

In order to include the strength of the promoter in the transcription rate, the following formula is used: \frac{1}{k_{onR}}=\frac{1}{\Omega_{R}}-\frac{1}{k_{F_R}} [9]. In this way, a distribution with the values for parameter k_{onR} (rate of RNA polymerase binding the promoter) is obtained, which is necessary to link the firing rate with the total transcription rate according to the formulas suggested by Bendtsen et al. [9]. From the k_{F_{R}} and the k_{onR}, the maximal occupancy for the isolated scbR promoter can be calculated by using the formula: \theta^o_{R}=\frac{k_{onR}}{k_{onR}+k_{F_{R}}}. The promoter aspect ratio \alpha_{R} is equal to \frac{k_{onR}}{k_{F_{R}}}, which leads to the equivalent equation \alpha_{R}=\frac{\theta^o_{R}}{1-\theta^o_{R}}. The total transcription rate in the case of the isolated (uncoupled) promoters is calculated through the formula: \Omega_{R}=k_{F_{R}} \cdot \theta^o_{R}. Similarly, the maximal occupancy of the isolated scbA promoter (\theta^o_{A})is calculated as described in the section Transcription of a. In the case of the overlapping (coupled) promoters the maximal occupancy for the scbR promoter is \theta_{R}=\frac{\alpha_{R}+1}{\alpha_{R}+\alpha_{A}+1}, where \alpha_{A} is the promoter aspect ratio for the isolated scbA promoter. Therefore, the final transcription rate constant is calculated as per T_{R}=k_{F_{R}} \cdot \theta_{R} \cdot \theta^{o}_{R} =\Omega_{R} \cdot \theta_{R}.

Parameters with uncertainty

When deciding how to describe the uncertainty for this parameter we must take into consideration that the reported values are either calculated or derived with approximation from experiments and from other macromolecular properties. Additionally, some of the values correspond to mRNA transcription rates of different bacteria species (E. coli). This means that there might be a notable difference between actual parameter values and the ones reported in literature. These facts influence the quantification of the parameter uncertainty and therefore the shape of the corresponding distributions. Therefore, by assigning the appropriate weights to the parameter values and using the method described here, the appropriate probability distributions were designed.

Although the weight of the distribution is put on the values calculated for S. coelicolor by setting  0.8346 min^{-1} as the mode of the log-normal distribution for the \Omega_{R}, we wish to explore the full range of reported values. Thus, the Spread is set to 3.55 and the range where 68.27% of the values are found is between 0.235 and 2.96 min^{-1}.

With regards to the firing rate k_F, the reported values are within the range of 18-33 min^{-1} with the most probable values being 18-20 min^{-1}. Since these values are reported as being the average rates (and 33 min^{-1} being the maximum), we will also sample lower values, so the final sampling range will be around the values 10-33 min^{-1}. The mode of the distribution is set to 20.7 min^{-1} and the Spread is set to 1.34. Therefore, the range where 68.27% of the values are found is between 15.4 and 27.8 min^{-1}.

From the literature values of \Omega_{R} and k_F, the values for k_{onR} are calculated. By assigning the same weights to each of the k_{onR} values as of the \Omega_{R} values, a distribution with a mode of 0.867 min^{-1} and a Spread of 4.1 is generated. The range where 68.27% of the values are found is between 0.212 and 3.546 min^{-1}.

Finally, the heterogeneity factor can be set so that k_{F_R}>k_{F_A} or k_{F_R}<k_{F_A}. In the first case, \chi has values within the range 1-10 and in the second within the range 0.1-0.9. In order for the two promoters to have equal strength, \chi is set to be equal to 1. Therefore, the mode of the heterogeneity factor \chi is 3 and the Spread is 1.2 (68.27% of the values are found between 2.5 and 3.6), in the case where scbR promoter is stronger. In the opposite case the mode is 0.4 and the Spread is 1.3 (68.27% of the values are found between 0.3 and 0.52).

The probability distributions for the parameters, adjusted accordingly in order to reflect the above values, are the following:

WR.png KonR.png KFu.png Chi.png

The values retrieved from literature and their weights are indicated by the blue dashed lines, and the uncertainty for each value is indicated using the reported experimental error (green lines) or a default value of 10% error (orange lines).

The parameter information of the distributions is:

Parameter Mode Spread μ σ
\Omega_{R} 0.8346 3.55 0.63056 0.90076
k_{onR} 0.867 4.09 0.78694 0.96428
k_{F} 20.7 1.34 3.1107 0.28276
\chi (k_{F_R}>k_{F_A}) 3 1.2 1.1308 0.1794

References

  1. 1.0 1.1 1.2 S. Mehra, S. Charaniya, E. Takano, and W.-S. Hu. A bistable gene switch for antibiotic biosynthesis: The butyrolactone regulon in streptomyces coelicolor. PLoS ONE, 3(7), 2008.
  2. 2.0 2.1 2.2 A. Chatterjee, L. Drews, S. Mehra, E. Takano, Y.N. Kaznessis, and W.-S. Hu. Convergent transcription in the butyrolactone regulon in streptomyces coelicolor confers a bistable genetic switch for antibiotic biosynthesis. PLoS ONE, 6(7), 2011.
  3. 3.0 3.1 3.2 Cox RA. Quantitative relationships for specific growth rates and macromolecular compositions of Mycobacterium tuberculosis, Streptomyces coelicolor A3(2) and Escherichia coli B/r: an integrative theoretical approach. Microbiology. 2004 May;150(Pt 5):1413-26.
  4. 4.0 4.1 Bremer H., Yuan D. RNA chain growth-rate in Escherichia coli, Journal of Molecular Biology, 1968; 38:(2), p. 163-180
  5. 5.0 5.1 Vogel U., Jensen KF. The RNA chain elongation rate in Escherichia coli depends on the growth rate. Journal of Bacteriology. 1994;176(10):2807-2813.
  6. 6.0 6.1 Pai, A. and You, L. Optimal tuning of bacterial sensing potential. Mol Syst Biol. 2009; 5: 286
  7. 7.0 7.1 Tadmor AD, Tlusty T. A Coarse-Grained Biophysical Model of E. coli and Its Application to Perturbation of the rRNA Operon Copy Number. PLoS Comput Biol (2008); 4(5): e1000038. doi: 10.1371/journal.pcbi.1000038
  8. 8.0 8.1 Kennell D., Riezman H. Transcription and translation initiation frequencies of the Escherichia coli lac operon. J. Mol. Biol. 1977; 114(1):1-21
  9. 9.0 9.1 Bendtsen KM, Erdőssy J, Csiszovszki Z, et al. Direct and indirect effects in the regulation of overlapping promoters. Nucleic Acids Research. 2011;39(16):6879-6885. doi:10.1093/nar/gkr390.