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Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli
The quantification of spontaneous mutation rates is crucial for a mechanistic understanding of the evolutionary process. In bacteria, traditional estimates using experimental or comparative genetic methods are prone to statistical uncertainty and consequently estimates vary by over one order of magn...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3246271/ https://www.ncbi.nlm.nih.gov/pubmed/22207905 http://dx.doi.org/10.1534/g3.111.000406 |
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author | Wielgoss, Sébastien Barrick, Jeffrey E. Tenaillon, Olivier Cruveiller, Stéphane Chane-Woon-Ming, Béatrice Médigue, Claudine Lenski, Richard E. Schneider, Dominique |
author_facet | Wielgoss, Sébastien Barrick, Jeffrey E. Tenaillon, Olivier Cruveiller, Stéphane Chane-Woon-Ming, Béatrice Médigue, Claudine Lenski, Richard E. Schneider, Dominique |
author_sort | Wielgoss, Sébastien |
collection | PubMed |
description | The quantification of spontaneous mutation rates is crucial for a mechanistic understanding of the evolutionary process. In bacteria, traditional estimates using experimental or comparative genetic methods are prone to statistical uncertainty and consequently estimates vary by over one order of magnitude. With the advent of next-generation sequencing, more accurate estimates are now possible. We sequenced 19 Escherichia coli genomes from a 40,000-generation evolution experiment and directly inferred the point-mutation rate based on the accumulation of synonymous substitutions. The resulting estimate was 8.9 × 10(−11) per base-pair per generation, and there was a significant bias toward increased AT-content. We also compared our results with published genome sequence datasets for other bacterial evolution experiments. Given the power of our approach, our estimate represents the most accurate measure of bacterial base-substitution rates available to date. |
format | Online Article Text |
id | pubmed-3246271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-32462712011-12-27 Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli Wielgoss, Sébastien Barrick, Jeffrey E. Tenaillon, Olivier Cruveiller, Stéphane Chane-Woon-Ming, Béatrice Médigue, Claudine Lenski, Richard E. Schneider, Dominique G3 (Bethesda) Investigation The quantification of spontaneous mutation rates is crucial for a mechanistic understanding of the evolutionary process. In bacteria, traditional estimates using experimental or comparative genetic methods are prone to statistical uncertainty and consequently estimates vary by over one order of magnitude. With the advent of next-generation sequencing, more accurate estimates are now possible. We sequenced 19 Escherichia coli genomes from a 40,000-generation evolution experiment and directly inferred the point-mutation rate based on the accumulation of synonymous substitutions. The resulting estimate was 8.9 × 10(−11) per base-pair per generation, and there was a significant bias toward increased AT-content. We also compared our results with published genome sequence datasets for other bacterial evolution experiments. Given the power of our approach, our estimate represents the most accurate measure of bacterial base-substitution rates available to date. Genetics Society of America 2011-08-01 /pmc/articles/PMC3246271/ /pubmed/22207905 http://dx.doi.org/10.1534/g3.111.000406 Text en Copyright © 2011 Wielgoss et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigation Wielgoss, Sébastien Barrick, Jeffrey E. Tenaillon, Olivier Cruveiller, Stéphane Chane-Woon-Ming, Béatrice Médigue, Claudine Lenski, Richard E. Schneider, Dominique Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title | Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title_full | Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title_fullStr | Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title_full_unstemmed | Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title_short | Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli |
title_sort | mutation rate inferred from synonymous substitutions in a long-term evolution experiment with escherichia coli |
topic | Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3246271/ https://www.ncbi.nlm.nih.gov/pubmed/22207905 http://dx.doi.org/10.1534/g3.111.000406 |
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