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Supplementary material to Lovmar et al.: Modelling the erythromycin mechanism and the resistance caused by the L22(Δ82-84) mutation To explain the mechanism of resistance caused by the ribosomal protein mutation L22(Δ82-84), we combined our model for inhibition of protein synthesis by erythromycin (Figure S1) with a model for transport over the cell membranes (Figure S2). Parameter values for simulating the increase in cell mass after 4 hrs with different erythromycin concentrations (Figure 5C and 5D) are presented in Table S1. 1. Inhibition of protein synthesis by erythromycin The model for erythromycin inhibition of protein synthesis (Figure S1) is a modified version of a previous model (Lovmar et al., 2006), used to successfully account for resistance conferred by cis-acting peptides (Lovmar et al., 2006; Tenson et al., 1996; Vimberg et al., 2004). Figure S1. The model for binding and translation inhibition by erythromycin. The seven states used to model the inhibition of protein synthesis caused by erythromycin. A 50S subunit with (50SM) or without (50S) erythromycin bound initiate with the rate k to form initiated 70S complexes (RM1) or (R1) respectively. Elongation of the first few amino acids is made with rate k1 independently of erythromycin. However, if no erythromycin is bound (R2) the ribosome continue elongation and becomes refractory to the drug (Re) with the rate k2, and finally a new protein is produced and the 50S is recycled with a rate k3. In contrast, if the elongating ribosome contains erythromycin (RM2) it is stalled until either erythromycin dissociates with a rate kd or peptidyl-tRNA drops off and the erythromycin containing 50S is recycled with a rate k4. Erythromycin associate with a second order rate constant ka and dissociates with the rate constant kd. The model includes seven states of the large ribosomal subunit (Figure S1), which are defined by the following system of differential equations: 1 d 50SM dt d R1 ka M f 50S k4 RM 2 k kd 50SM , k 50S kd RM1 k1 ka M f R1 , dt d R 2 k1 R1 kd RM 2 k2 ka M f R 2 , dt d R e k 2 R 2 k3 R e , dt d RM1 k 50SM ka M f R1 k1 kd RM1 , dt d RM 2 k1 RM1 ka M f R2 k4 k d RM 2 , dt [S1] A 50S ribosomal subunit may be either bound [50SM] or not bound [50S] to erythromycin. It may also be in complex with a 30S subunit thus forming a ribosome ready to initiate translation, either bound [RM1] or not bound [R1] to erythromycin. The ribosome may be translating the first few codons either bound [RM2], or not bound, but still susceptible, to erythromycin, [R2]. Without erythromycin, the ribosome continues in elongation and become temporarily immune to erythromycin [Re]. The rate constant of association and spontaneous dissociation of the antibiotic is ka and kd, respectively. Association of the ribosomal subunits occurs with rate constant k and translation of the first few codons occurs with rate constant k1. The rate constant for translating the codon that makes the ribosome temporarily immune for erythromycin binding is k2. The rate constant for completing synthesis of the protein and recycling the ribosomal subunits is k3, and the rate constant of peptidyl-tRNA drop-off from erythromycin bound, stalled ribosome is k4. In addition, all concentrations are diluted by the cell growth rate μ. The total concentration of 50S subunits [50S0] is kept constant and new 50S subunits are thus synthesized by rate μ∙[50S0] and the free concentration of 50S subunits varies according to [50S] = [50S0] - [50SM] - [R1] - [R2] - [RM1] - [RM2] - [Re]. The system expands by exponential growth with the growth rate μ, which is proportional to the concentration of elongating ribosomes [Re] as defined by (Ehrenberg and Kurland, 1984) ve [R e ] 0 , [S2] where ve is the average elongation rate of an uninhibited ribosome and ρ0 is the concentration of amino acids incorporated in proteins. The system was solved with the parameters in Table S1 by Euler’s method (Heath, 1997) using MATLAB 6.5 (The MathWorks, Inc., Natick, Massachusetts, U.S.A.). The accumulated increase in cell density (“growth yield”), is calculated by numerical integration of the growth rates µ according to Vt Vt dt e dt , [S3] 2 where dt is a small time-step and Vt-dt and Vt is the total “cell volume” prior and after time-step dt, respectively. To allow comparisons between the simulated growth yields and OD measurements from cell cultures we also need to estimate how the total intracellular concentration [M0] (= [Mf] + [50SM] + [RM1] + [RM2]) changes with different erythromycin concentrations in the surrounding media [Mext] as seen in the next section. 2. Drug flows into and out from gram negative bacteria The cell envelope of gram-negative bacteria consists of two membrane layers separated by the periplasmic space (Figure S2). The drug concentration, [Mp], in the periplasmic space obeys the following differential equation d MP dt AC A1C1 AC Mext M P 2 2 Mf M P 1 pump M P M P Vp Vp Vp Here A1 and A2 are the areas of the outer and inner membranes, respectively. C1 and C2 are the permeability of the outer and inner membrane, respectively. Cpump is the efflux pump efficiency per outer membrane area, VP is the periplasmic volume, assumed to be much smaller than the cytoplasmic volume VC. [Mext] is the drug concentration in the growth medium and [Mf] the free drug concentration in the cytoplasm. With the definitions cI = A1C1 / VC, cII = A1C2 / VC and cI = A1Cpump / VC, the steady state solution to the differential equation can be written: [M p ] cI M ext cII M f V cI cII cIII P VC [S4] Figure S2. The model for the flow of inhibitor over the cell membranes in a gram negative cell. Erythromycin diffuses over the outer membrane with a permeability constant cI and over the inner membrane with a permeability constant cII. In addition, erythromycin is actively pumped out over the outer membrane with a rate constant cIII by the AcrAB-TolC efflux pump system. The change in the total erythromycin concentration of the cytoplasm, [M0] (= [Mf] + [50SM] + [RM1] + [RM2]), can be written: d M0 dt cII M P Mf M0 3 [S5] Inserting Eq. S4 into Eq. S5 gives the differential equation that connects the total cytoplasmic erythromycin concentration [M0] to the erythromycin concentration in the growth media. d M0 dt c M c M ext II f cII M f M 0 cII I c c c VP I II III V C [S6] This equation (Eq. S6) is added as the seventh differential equation that completes the system of differential equations in Eq. S1 which was used to simulate the bacterial growth yield (Eq. S3) at different erythromycin concentrations [Mext]. 3. Masking of resistance mutations in pump deficient mutants An interesting feature of the model is that it captures the effect of resistance masking by pump deficient mutants, which we noticed in our cell culture experiments. To understand why this masking phenomenon occurs we can reformulate Eq. S6 as d M0 dt cI Q Mext cII 1 Q M f M 0 [S7] where Q cII [S8] V cI cII cIII P VC First, we note that Q ≈ 1 in a pump deficient mutant (cIII = 0) and Q→0 as the value of is cIII increases. Secondly, we note in Eq. S7 that there are one positive and two negative terms that modulate the total intracellular concentration of erythromycin [M0]. While the inflow to the cytoplasm depends on the erythromycin concentration in the media [Mext], the outflow could either depend on the free cytoplasmic concentration [Mf], the total cytoplasmic concentration [M0] or a combination of the two. Efficient pumps (Q << 1) give a smaller positive [Mext]-term, i.e. efflux pumps give resistance, but they also maximize the negative [Mf]-term so that the outflow depends solely on the free concentration of erythromycin. In contrast, the dilution term, which depends on the total cytoplasmic concentration [M0], dominates the outflow in a pump deficient mutant (Q ≈ 1). Thus, although a ribosome mutation can alter the erythromycin binding constants and thereby increase [Mf], this “resistance mutation” is masked in a pump deficient mutant, because the erythromycin outflow from the cytoplasm is independent of [Mf] but depends only on the total concentration [M0]. 4 References Antoun, A., Pavlov, M.Y., Lovmar, M. and Ehrenberg, M. (2006) How initiation factors tune the rate of initiation of protein synthesis in bacteria. Embo J, 25, 2539-2550. Bremer, H. and Dennis, P.P. (1996) Modulation of Chemical Composition and Other Parameters of the Cell by Growth Rate. In Neidhardt, F.C. (ed.), Escherichia coli and Salmonella : cellular and molecular biology. ASM Press, Washington, Vol. 2, pp. 1553-1569. Ehrenberg, M. and Kurland, C.G. (1984) Costs of accuracy determined by a maximal growth rate constraint. Quarterly Reviews of Biophysics, 17, 45-82. Heath, M.T. (1997) Scientific computing : an introductory survey. McGraw-Hill, New York. Lovmar, M., Nilsson, K., Vimberg, V., Tenson, T., Nervall, M. and Ehrenberg, M. (2006) The Molecular Mechanism of Peptide-mediated Erythromycin Resistance. Journal of Biological Chemistry, 281, 6742-6750. Tenson, T., DeBlasio, A. and Mankin, A. (1996) A functional peptide encoded in the Escherichia coli 23S rRNA. Proc Natl Acad Sci U S A, 93, 5641-5646. Vimberg, V., Xiong, L., Bailey, M., Tenson, T. and Mankin, A. (2004) Peptidemediated macrolide resistance reveals possible specific interactions in the nascent peptide exit tunnel. Mol Microbiol, 54, 376-385. 5 Table S1. Definitions and values of used parameters in the macrolide model. Model parameter Value Reference k = effective translation initiation rate 1 s-1 (Antoun et al., 2006) 5 s-1 (Bremer and Dennis, 1996) 20 s-1 (Bremer and Dennis, 1996) k1 = rate constant for translation of the first codons when the ribosome is susceptible for the antibiotic k2 = rate constant for translation of the codon rendering the ribosome temporarily immune to erythromycin k3 = rate constant for translation beyond the 0.03 s-1 (Bremer and Dennis, 1996) first codons and translation termination k4 = drop-off rate constant of peptidyl-tRNA 0.1 s-1 (Lovmar, unpublished results) ka = association rate constant of erythromycin Table 1 Present work k d = dissociation rate constant of erythromycin Table 1 Present work from a stalled ribosome cI = rate constant for diffusion over the outer 5∙10-4 s-1 membrane cII = rate constant for diffusion over the inner 0.1 s-1 membrane 0 s-1 (tolC¯), cIII = rate constant of erythromycin pumping 0.01 s-1 (acrB¯) over the outer membrane. 1 s-1 (wt pumps) VP / VC = the volume of the periplasm divided by the volume of the cytoplasm (approximated to be constant) 0.1 ve = ribosome elongation rate 20 s-1 (Bremer and Dennis, 1996) 0 2M (Bremer and Dennis, 1996) 4∙10-5 M (Bremer and Dennis, 1996) = concentration of amino acids in proteins 50Stot = total concentration of 50S Mext = concentration of erythromycin in the growth medium 0.6∙10-6-500∙10-6 M (Fig. 5) 6