The distribution of allelic effects on traits, along with their gene-by-gene and gene-by-environment interactions, contributes to the phenotypes available for selection and the trajectories of adaptive variants. Nonetheless, uncertainty persists regarding the effect sizes underlying adaptations and the importance of genetic interactions. Herein, we aimed to investigate the genetic architecture and the epistatic and environmental interactions involving loci that contribute to multiple adaptive traits using two new panels of recombinant inbred lines (RILs). To better fit our data, we re-implemented functions from R/qtl (Broman . 2003) using additive genetic models. We found 14 quantitative trait loci (QTL) underlying melanism, wing size, song pattern, and ethanol resistance. By combining our mapping results with population genetic statistics, we identified potential new genes related to these traits. None of the detected QTLs showed clear evidence of epistasis, and our power analysis indicated that we should have seen at least one significant interaction if sign epistasis or strong positive epistasis played a pervasive role in trait evolution. In contrast, we did find roles for gene-by-environment interactions involving pigmentation traits. Overall, our data suggest that the genetic architecture of adaptive traits often involves alleles of detectable effect, that strong epistasis does not always play a role in adaptation, and that environmental interactions can modulate the effect size of adaptive alleles.
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http://dx.doi.org/10.1101/2024.05.14.594228 | DOI Listing |
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Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, India.
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View Article and Find Full Text PDFEnviron Microbiol
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Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu, China.
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View Article and Find Full Text PDFNucleic Acids Res
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Centre for Bacterial Resistance Biology, Imperial College London, LondonSW7 2AZ, United Kingdom.
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