The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Tempo and mode of genome evolution in a 50,000-generation experiment
Open accessAbstract
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. Here 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 in which 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.
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Versatile and open software for comparing large genomes
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The origins of genome complexity
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Self-citationThe Molecular Diversity of Adaptive Convergence
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Self-citationGenome-wide analysis of a long-term evolution experiment with Drosophila
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Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load
Wielgoss, S., Barrick, J. E., Tenaillon, O., Wiser, M. J., Dittmar, W. J., Cruveiller, S., Chane-Woon-Ming, B., Médigue, C., Lenski, R. E., & Schneider, D. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219574110 · Cited by 292
Self-citationDid Genetic Drift Drive Increases in Genome Complexity?
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Evolutionary genomics can improve prediction of species’ responses to climate change
Waldvogel, A.-M., Feldmeyer, B., Rolshausen, G., Exposito-Alonso, M., Rellstab, C., Kofler, R., Mock, T., Schmid, K., Schmitt, I., Bataillon, T., et al. (2020) · Evolution Letters · doi:10.1002/evl3.154 · Cited by 348
Multiscale Evolutionary Dynamics of Host-Associated Microbiomes
Ferreiro, A., Crook, N., Gasparrini, A. J., & Dantas, G. (2018) · Cell · doi:10.1016/j.cell.2018.02.015 · Cited by 127
Open-Ended Evolution: Perspectives from the OEE Workshop in York
Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W., Beslon, G., Dolson, E., Froese, T., Hickinbotham, S., Ikegami, T., et al. (2016) · Artificial Life · doi:10.1162/artl_a_00210 · Cited by 111
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Metadata
- Authors
- Tenaillon, O., Barrick, J. E., Ribeck, N., Deatherage, D. E., Blanchard, J. L., Dasgupta, A., Wu, G. C., Wielgoss, S., Cruveiller, S., Médigue, C., Schneider, D., & Lenski, R. E.
- Venue
- Nature
- Published
- 2016-08
- Volume
- 536
- Issue
- 7615
- Pages
- 165-170
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2490493873
- Cited by
- 504
- References
- 7
- FWCI
- 41.10
- Type
- journal article
- Language
- en
- Open access
- green
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- Tenaillon, O., Barrick, J. E., Ribeck, N., Deatherage, D. E., Blanchard, J. L., Dasgupta, A., Wu, G. C., Wielgoss, S., Cruveiller, S., Médigue, C., Schneider, D., & Lenski, R. E. (2016). Tempo and mode of genome evolution in a 50,000-generation experiment. Nature. https://doi.org/10.1038/nature18959
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