ArticleMolecular ecology2020
Low concordance of short-term and long-term selection responses in experimental Drosophila populations.
Article in Molecular ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Evolutionary Dynamics of Gene Expression During Thermal Adaptation in Drosophila subobscura.Genome biology and evolution · 2026Article
- Transcriptional signature of host shift in the seed beetle Zabrotes subfasciatus.Genetics and molecular biology · 2024Article
- Haplotype based testing for a better understanding of the selective architecture.BMC bioinformatics · 2023Article
- Artificial selection reveals complex genetic architecture of shoot branching and its response to nitrate supply in Arabidopsis.PLoS genetics · 2023Article
- Highly Parallel Genomic Selection Response in Replicated Drosophila melanogaster Populations with Reduced Genetic Variation.Genome biology and evolution · 2021Article
- A morphological trait involved in reproductive isolation between Drosophila sister species is sensitive to temperature.Ecology and evolution · 2021Article
- Low concordance of short-term and long-term selection responses in experimental Drosophila populations.Molecular ecology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Experimental evolution is becoming a popular approach to study the genomic selection response of evolving populations. Computer simulation studies suggest that the accuracy of the signature increases with the duration of the experiment. Since some assumptions of the computer simulations may be violated, it is important to scrutinize the influence of the experimental duration with real data. Here, we use a highly replicated Evolve and Resequence study in Drosophila simulans to compare the selection targets inferred at different time points. At each time point, approximately the same number of SNPs deviates from neutral expectations, but only 10% of the selected haplotype blocks identified from the full data set can be detected after 20 generations. Those haplotype blocks that emerge already after 20 generations differ from the others by being strongly selected at the beginning of the experiment and display a more parallel selection response. Consistent with previous computer simulations, our results demonstrate that only Evolve and Resequence experiments with a sufficient number of generations can characterize complex adaptive architectures.
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