Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in <i>Drosophila melanogaster</i>

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 2 new panels of Drosophila melanogaster recombinant inbred lines (RILs). To better fit our data, we re-implemented functions from R/qtl using additive genetic models. We found 14 quantitative trait loci (QTLs) 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 1 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.

Authors

Institutions

Publication Details

Journal
G3 Genes Genomes Genetics
Published
2025-03-07
DOI
https://doi.org/10.1093/g3journal/jkaf051
Citations
3
Primary Topic
Silkworms and Sericulture Research
Type
article
Field-Weighted Citation Impact
5.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in Drosophila melanogaster

Matthew J Lollar, John E. Pool, Quentin D Sprengelmeyer, Yuheng Huang et al.
3 citations
G3 Genes Genomes Genetics
Silkworms and Sericulture Research
5.02
article

Recombinant inbred line panels inform the genetic architecture and interactions of adaptive traits in Drosophila melanogaster

Matthew J Lollar, John E. Pool, Quentin D Sprengelmeyer, Yuheng Huang, D.M. Benson, Tiago da Silva Ribeiro, Russell Corbett‐Detig, Zachary C Johnson, Megan S Orr
article en
3 citations

Abstract

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 2 new panels of Drosophila melanogaster recombinant inbred lines (RILs). To better fit our data, we re-implemented functions from R/qtl using additive genetic models. We found 14 quantitative trait loci (QTLs) 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 1 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.

G3 Genes Genomes GeneticsVol. 15(5)
University of Wisconsin–Madison (US), University of California, Santa Cruz (US)
Openalex Percentile: Top 6%
Silkworms and Sericulture Research
5.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.