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Quantitative assessment of ribosome drop-off in E. coli

MPS-Authors
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Sin,  Celine
Angelo Valleriani, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Chiarugi,  Davide
Angelo Valleriani, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Valleriani,  Angelo
Angelo Valleriani, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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2259554.pdf
(Publisher version), 271KB

Supplementary Material (public)

2259554_supp.pdf
(Supplementary material), 2MB

Citation

Sin, C., Chiarugi, D., & Valleriani, A. (2016). Quantitative assessment of ribosome drop-off in E. coli. Nucleic Acids Research, 44(6), 2528-2537. doi:10.1093/nar/gkw137.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002A-10B9-2
Abstract
Premature ribosome drop-off is one of the major errors in translation of mRNA by ribosomes. However, repeated analyses of Ribo-seq data failed to quantify its strength in E. coli. Relying on a novel highly sensitive data analysis method we show that a significant rate of ribosome drop-off is measurable and can be quantified also when cells are cultured under non-stressing conditions. Moreover, we find that the drop-off rate is highly variable, depending on multiple factors. In particular, under environmental stress such as amino acid starvation or ethanol intoxication, the drop-off rate markedly increases.