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Tempo and mode of genome evolution in a 50,000-generation experiment
Adaptation by natural selection depends on the rates, effects, and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. We analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988878/ https://www.ncbi.nlm.nih.gov/pubmed/27479321 http://dx.doi.org/10.1038/nature18959 |
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author | Tenaillon, Olivier Barrick, Jeffrey E. Ribeck, Noah Deatherage, Daniel E. Blanchard, Jeffrey L. Dasgupta, Aurko Wu, Gabriel C. Wielgoss, Sébastien Cruveiller, Stéphane Médigue, Claudine Schneider, Dominique Lenski, Richard E. |
author_facet | Tenaillon, Olivier Barrick, Jeffrey E. Ribeck, Noah Deatherage, Daniel E. Blanchard, Jeffrey L. Dasgupta, Aurko Wu, Gabriel C. Wielgoss, Sébastien Cruveiller, Stéphane Médigue, Claudine Schneider, Dominique Lenski, Richard E. |
author_sort | Tenaillon, Olivier |
collection | PubMed |
description | Adaptation by natural selection depends on the rates, effects, and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. We analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model where most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions, and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment. |
format | Online Article Text |
id | pubmed-4988878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-49888782017-02-11 Tempo and mode of genome evolution in a 50,000-generation experiment Tenaillon, Olivier Barrick, Jeffrey E. Ribeck, Noah Deatherage, Daniel E. Blanchard, Jeffrey L. Dasgupta, Aurko Wu, Gabriel C. Wielgoss, Sébastien Cruveiller, Stéphane Médigue, Claudine Schneider, Dominique Lenski, Richard E. Nature Article Adaptation by natural selection depends on the rates, effects, and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. We analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model where most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions, and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment. 2016-08-11 /pmc/articles/PMC4988878/ /pubmed/27479321 http://dx.doi.org/10.1038/nature18959 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms Reprints and permissions information is available at www.nature.com/reprints. |
spellingShingle | Article Tenaillon, Olivier Barrick, Jeffrey E. Ribeck, Noah Deatherage, Daniel E. Blanchard, Jeffrey L. Dasgupta, Aurko Wu, Gabriel C. Wielgoss, Sébastien Cruveiller, Stéphane Médigue, Claudine Schneider, Dominique Lenski, Richard E. Tempo and mode of genome evolution in a 50,000-generation experiment |
title | Tempo and mode of genome evolution in a 50,000-generation experiment |
title_full | Tempo and mode of genome evolution in a 50,000-generation experiment |
title_fullStr | Tempo and mode of genome evolution in a 50,000-generation experiment |
title_full_unstemmed | Tempo and mode of genome evolution in a 50,000-generation experiment |
title_short | Tempo and mode of genome evolution in a 50,000-generation experiment |
title_sort | tempo and mode of genome evolution in a 50,000-generation experiment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4988878/ https://www.ncbi.nlm.nih.gov/pubmed/27479321 http://dx.doi.org/10.1038/nature18959 |
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