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Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria

Ribosome stalling on mRNAs can decrease protein expression. To decipher ribosome kinetics at stall sites, we induced ribosome stalling at specific codons by starving the bacterium Escherichia coli for the cognate amino acid. We measured protein synthesis rates from a reporter library of over 100 var...

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Detalles Bibliográficos
Autores principales: Ferrin, Michael A, Subramaniam, Arvind R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446239/
https://www.ncbi.nlm.nih.gov/pubmed/28498106
http://dx.doi.org/10.7554/eLife.23629
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author Ferrin, Michael A
Subramaniam, Arvind R
author_facet Ferrin, Michael A
Subramaniam, Arvind R
author_sort Ferrin, Michael A
collection PubMed
description Ribosome stalling on mRNAs can decrease protein expression. To decipher ribosome kinetics at stall sites, we induced ribosome stalling at specific codons by starving the bacterium Escherichia coli for the cognate amino acid. We measured protein synthesis rates from a reporter library of over 100 variants that encoded systematic perturbations of translation initiation rate, the number of stall sites, and the distance between stall sites. Our measurements are quantitatively inconsistent with two widely-used kinetic models for stalled ribosomes: ribosome traffic jams that block initiation, and abortive (premature) termination of stalled ribosomes. Rather, our measurements support a model in which collision with a trailing ribosome causes abortive termination of the stalled ribosome. In our computational analysis, ribosome collisions selectively stimulate abortive termination without fine-tuning of kinetic rate parameters at ribosome stall sites. We propose that ribosome collisions serve as a robust timer for translational quality control pathways to recognize stalled ribosomes. DOI: http://dx.doi.org/10.7554/eLife.23629.001
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spelling pubmed-54462392017-05-30 Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria Ferrin, Michael A Subramaniam, Arvind R eLife Computational and Systems Biology Ribosome stalling on mRNAs can decrease protein expression. To decipher ribosome kinetics at stall sites, we induced ribosome stalling at specific codons by starving the bacterium Escherichia coli for the cognate amino acid. We measured protein synthesis rates from a reporter library of over 100 variants that encoded systematic perturbations of translation initiation rate, the number of stall sites, and the distance between stall sites. Our measurements are quantitatively inconsistent with two widely-used kinetic models for stalled ribosomes: ribosome traffic jams that block initiation, and abortive (premature) termination of stalled ribosomes. Rather, our measurements support a model in which collision with a trailing ribosome causes abortive termination of the stalled ribosome. In our computational analysis, ribosome collisions selectively stimulate abortive termination without fine-tuning of kinetic rate parameters at ribosome stall sites. We propose that ribosome collisions serve as a robust timer for translational quality control pathways to recognize stalled ribosomes. DOI: http://dx.doi.org/10.7554/eLife.23629.001 eLife Sciences Publications, Ltd 2017-05-12 /pmc/articles/PMC5446239/ /pubmed/28498106 http://dx.doi.org/10.7554/eLife.23629 Text en © 2017, Ferrin et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Ferrin, Michael A
Subramaniam, Arvind R
Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title_full Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title_fullStr Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title_full_unstemmed Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title_short Kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
title_sort kinetic modeling predicts a stimulatory role for ribosome collisions at elongation stall sites in bacteria
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446239/
https://www.ncbi.nlm.nih.gov/pubmed/28498106
http://dx.doi.org/10.7554/eLife.23629
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