ArticleG3 (Bethesda, Md.)2022
The evolution of larger size in high-altitude Drosophila melanogaster has a variable genetic architecture.
Article in G3 (Bethesda, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in Drosophila melanogaster.G3 (Bethesda, Md.) · 2025Article
- The Precision and Power of Population Branch Statistics in Identifying the Genomic Signatures of Local Adaptation.Genome biology and evolution · 2025Article
- Hybrid breakdown in male reproduction between recently diverged Drosophila melanogaster populations has a complex and variable genetic architecture.Evolution; international journal of organic evolution · 2023Article
- Dynamics and stage-specificity of between-population gene expression divergence in the Drosophila melanogaster larval fat body.PLoS genetics · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
Important uncertainties persist regarding the genetic architecture of adaptive trait evolution in natural populations, including the number of genetic variants involved, whether they are drawn from standing genetic variation, and whether directional selection drives them to complete fixation. Here, we take advantage of a unique natural population of Drosophila melanogaster from the Ethiopian highlands, which has evolved larger body size than any other known population of this species. We apply a bulk segregant quantitative trait locus mapping approach to 4 unique crosses between highland Ethiopian and lowland Zambian populations for both thorax length and wing length. Results indicated a persistently variable genetic basis for these evolved traits (with largely distinct sets of quantitative trait loci for each cross), and at least a moderately polygenic architecture with relatively strong effects present. We complemented these mapping experiments with population genetic analyses of quantitative trait locus regions and gene ontology enrichment analysis, generating strong hypotheses for specific genes and functional processes that may have contributed to these adaptive trait changes. Finally, we find that the genetic architectures indicated by our quantitative trait locus mapping results for size traits mirror those from similar experiments on other recently evolved traits in this species. Collectively, these studies suggest a recurring pattern of polygenic adaptation in this species, in which causative variants do not approach fixation and moderately strong effect loci are present.
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