The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Combining experimental evolution with next-generation sequencing: a powerful tool to study adaptation from standing genetic variation
Open accessAbstract
Evolve and resequence (E&R) is a new approach to investigate the genomic responses to selection during experimental evolution. By using whole genome sequencing of pools of individuals (Pool-Seq), this method can identify selected variants in controlled and replicable experimental settings. Reviewing the current state of the field, we show that E&R can be powerful enough to identify causative genes and possibly even single-nucleotide polymorphisms. We also discuss how the experimental design and the complexity of the trait could result in a large number of false positive candidates. We suggest experimental and analytical strategies to maximize the power of E&R to uncover the genotype-phenotype link and serve as an important research tool for a broad range of evolutionary questions.
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Cites
Evolution Experiments with Microorganisms: The Dynamics and Genetic Bases of Adaptation
Elena, S. F., & Lenski, R. E. (2003) · Nature Reviews Genetics · doi:10.1038/nrg1088 · Cited by 1,386
Whole-genome resequencing reveals loci under selection during chicken domestication
Rubin, C.-J., Zody, M. C., Eriksson, J., Meadows, J. R. S., Sherwood, E., Webster, M. T., Jiang, L., Ingman, M., Sharpe, T., Ka, S., et al. (2010) · Nature · doi:10.1038/nature08832 · Cited by 1,138
Kawecki, T. J., Lenski, R. E., Ebert, D., Hollis, B., Olivieri, I., & Whitlock, M. C. (2012) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2012.06.001 · Cited by 807
Genome-wide analysis of a long-term evolution experiment with Drosophila
Burke, M. K., Dunham, J. P., Shahrestani, P., Thornton, K. R., Rose, M. R., & Long, A. D. (2010) · Nature · doi:10.1038/nature09352 · Cited by 448 · cited 2×
“The second D. melanogaster study, which did not analyze time series data, reported a large genomic response in flies selected for accelerated development over 600 generations, but found little support for selective sweeps resulting in their fixation (Burke et al., 2010).”
BackgroundMethodTurner, T. L., Stewart, A. D., Fields, A. T., Rice, W. R., & Tarone, A. M. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001336 · Cited by 297
Cited by
Finding the genomic basis of local adaptation: pitfalls, practical solutions, and future directions
Hoban, S., Kelley, J. L., Lotterhos, K. E., Antolin, M. F., Bradburd, G., Lowry, D. B., Poss, M. L., Reed, L. K., Storfer, A., & Whitlock, M. C. (2016) · The American Naturalist · doi:10.1086/688018 · Cited by 876
“Exome capture approaches require a large initial investment in capture probe design (Bamshad et al. 2011; Schlötterer et al. 2014; Jones and Good 2016).”
InfluentialEvolutionary 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
Self-citationGenome size evolution: towards new model systems for old questions
Blommaert, J. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.1441 · Cited by 116
Metadata
- Authors
- Schlötterer, C., Kofler, R., Versace, E., Tobler, R., & Franssen, S. U.
- Venue
- Heredity
- Published
- 2014-10-01
- Volume
- 114
- Issue
- 5
- Pages
- 431-440
- ISSN
- 0018-067X (ISSN-L)
- 1365-2540
- OpenAlex
- W4322388308
- Cited by
- 283
- References
- 5
- FWCI
- 10.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Schlötterer, C., Kofler, R., Versace, E., Tobler, R., & Franssen, S. U. (2015). Combining experimental evolution with next-generation sequencing: a powerful tool to study adaptation from standing genetic variation. Heredity. https://doi.org/10.1038/hdy.2014.86
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
