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. 2011 Oct;7(10):e1002203.
doi: 10.1371/journal.pcbi.1002203. Epub 2011 Oct 13.

The dynamics of supply and demand in mRNA translation

Affiliations

The dynamics of supply and demand in mRNA translation

Chris A Brackley et al. PLoS Comput Biol. 2011 Oct.

Abstract

We study the elongation stage of mRNA translation in eukaryotes and find that, in contrast to the assumptions of previous models, both the supply and the demand for tRNA resources are important for determining elongation rates. We find that increasing the initiation rate of translation can lead to the depletion of some species of aa-tRNA, which in turn can lead to slow codons and queueing. Particularly striking "competition" effects are observed in simulations of multiple species of mRNA which are reliant on the same pool of tRNA resources. These simulations are based on a recent model of elongation which we use to study the translation of mRNA sequences from the Saccharomyces cerevisiae genome. This model includes the dynamics of the use and recharging of amino acid tRNA complexes, and we show via Monte Carlo simulation that this has a dramatic effect on the protein production behaviour of the system.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Schematic representation of the model including use and recharging of tRNAs.
Red particles represent ribosomes, and the lattice represents the mRNA. Ribosomes move from site to site with rates dependent on the size of a pool of aa-tRNAs. Every time a ribosome moves out of a site of type formula image, a formula image aa-tRNA is removed from the pool, and a formula image tRNA is added to the corresponding pool of bare tRNAs. Bare formula image tRNAs are recharged with a rate formula image.
Figure 2
Figure 2. Supply
formula image for each type of tRNA used in the simulations. These are based on the gene copy number for each tRNA in the Saccharomyces cerevisiae genome. The key for the label formula image of each codon is available in the supporting information (Text S2).
Figure 3
Figure 3. mRNA A Supply and Demand.
Bar graphs showing (a) the supply formula image of the codon at each site and (b) the occurrence frequency formula image of each codon type on mRNA A.
Figure 4
Figure 4. Simulation results for mRNA A.
Plots (a) and (b) show how the current (protein production rate) and the mean density of ribosomes on the mRNA depend on the initiation rate formula image, respectively. In (b) the points show the reader density formula image and the crosses the coverage density formula image. Plots (c) and (d) show ribosome density as a function of position formula image for small (formula image) and large (formula image) initiation rate respectively. Black lines show the reader density formula image and blue lines the coverage density formula image. Red dots show the positions of codons of type formula image, and the red bar indicates the width of the ribosomes. Bar graphs (e) and (f) show the steady state charging rate formula image of each tRNA type. (e) shows formula image and (f) formula image, the same values as in (c) and (d).
Figure 5
Figure 5. Simulation results for mRNA A using the original TASEP model.
The tRNA charging rate is assumed to be infinite, and hence then numbers of aa-tRNAs are constant and based on gene copy numbers. In (b) the points show the reader density formula image and the crosses the coverage density formula image. Plots (c) and (d) show ribosome density as a function of position formula image for small (formula image) and large (formula image) initiation rate respectively. Black lines show the reader density formula image and blue lines the coverage density formula image. Red dots show codons of type formula image as in Fig. 4.
Figure 6
Figure 6. mRNA B Supply and Demand.
Bar graph showing (a) the supply formula image of the codon at each site and (b) the occurrence frequency formula image of each codon type on mRNA B.
Figure 7
Figure 7. Simulation results for mRNA B.
Subplots are as described in the caption for Fig. 4. Plots (c) and (d) show density for small (formula image) and large (formula image) initiation rate respectively. Red dots show the positions of codons of type formula image, and the red bar indicates the width of the ribosomes. (e) and (f) show formula image for formula image the same as in (c) and (d).
Figure 8
Figure 8. The demand supply ratio.
Bar graphs showing the ratio formula image for each codon type for mRNAs A and B.
Figure 9
Figure 9. Different reasons for queueing in a “designer mRNA”.
(a) Sketch of a designer mRNA with only two types of codon. All codons are the same except for the central one. (b) The solid curve shows the critical initiation rate beyond which queueing will be observed, as a function of formula image. Which kind of queueing will be observed depends on formula image, and the three regimes discussed in the text are separated with dotted lines. The inset shows a zoom around small formula image.
Figure 10
Figure 10. Results for simulations containing mixtures of mRNAs A and B.
Plots (a)–(e) show results for a mixture in the ratio 50∶50 (by codon numbers). (a) and (b) show formula image and formula image as a function of formula image for mRNAs of type A (black points) and type B (red crosses) (the same initiation rates are used for each species). The blue line shows formula image, where blue labelled codons cause queueing. Plot (c) shows the charging levels of tRNAs for formula image. (d) and (e) show the site dependent reader (pale lines) and coverage (dark lines) density for each mRNA type, again for formula image. The codons corresponding to the first aa-tRNA to become depleted are highlighted with blue dots (formula image), and those for the second in green (formula image). Plots (f)–(j) show similar results for a mixture in the ratio 80∶20; results for a 20∶80 mixture are presented in the supporting information (Text S4).
Figure 11
Figure 11. The charging levels
formula image of the first two aa-tRNAs to become depleted. Plot (a) shows results for the 20∶80 mixture of mRNAs A and B, plot (b) the 50∶50 mixture, and (c) the 80∶20 mixture. From left to right the abundance of mRNA A increases. Blue and green lines correspond to the codons labelled blue and green in Fig. 10, and dashed lines show formula image.
Figure 12
Figure 12. Results for simulations containing mixtures of mRNAs C and D.
Plots (a)–(e) show results for a mixture in the ratio 50∶50 (by codon numbers). (a) and (b) show formula image and formula image as a function of formula image for mRNAs of type C (black points) and type D (red crosses). The blue line shows formula image, where blue labelled codons first become depleted. Plot (c) shows the charging levels of tRNAs for formula image. (d) and (e) show the site dependent reader (pale lines) and coverage (dark lines) density for each mRNA type. The codons corresponding to the first aa-tRNA to become depleted are highlighted with blue dots (formula image), and those for the second in green (formula image). Plots (f)–(j) show similar results for a mixture in the ratio 20∶80; results for a 80∶20 mixture are presented in the supporting information (Text S4).
Figure 13
Figure 13. The charging levels
formula image of the first two aa-tRNAs to become depleted. Plot (a) shows results for the 20∶50 mixture of mRNAs C and D, plot (b) the 50∶50 mixture, and (c) the 80∶20 mixture. From left to right the abundance of mRNA C increases. In each case the tRNA type labelled blue becomes depleted first. The inset in (c) is a zoom at small formula image showing this more clearly. Dashed lines show formula image.
Figure 14
Figure 14. Simulations of large numbers of mRNAs.
Results from two simulations containing 70 different species of mRNA (numbered 1 to 70 with full details being given in supplementary information S2). In both simulations the abundance of each of group II mRNAs (blue) are kept the same, but the abundance of group I mRNAs (red) are varied so as to match their abundance during the G1 and G2 phases of the cell cycle respectively. Plot (a) shows the charging levels for each tRNA, (b) the current for each mRNA and (c) the corresponding ribosome densities, each for G2 phase. Plots (d)–(f) show similar for G1 phase.

References

    1. Brockmann R, Beyer A, Heinisch JJ, Wilhelm T. Posttranscriptional expression regulation: What determines translation rates? PLoS Comput Biol. 2007;3:e57. - PMC - PubMed
    1. Day D, Tuite M. Post-transcriptional gene regulatory mechanisms in eukaryotes: an overview. J Endocrinol. 1998;157:361–371. - PubMed
    1. Sørensen MA, Kurland CG, Pedersen S. Codon usage determines translation rate in escherichia coli. J Mol Biol. 1989;207:365–377. - PubMed
    1. Elf J, Nilsson D, Tenson T, Ehrenberg M. Selective Charging of tRNA Isoacceptors Explains Patterns of Codon Usage. Science. 2003;300:1718–1722. - PubMed
    1. Alberts B, Johnson A, Walter P, Lewis J. Molecular Biology of the Cell. Garland Pub. Inc, 5th edition; 2008.

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