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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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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 |
format | Online Article Text |
id | pubmed-5446239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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