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Private QTLs underlie the genetic architecture of hierarchical size traits in Drosophila

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Nov 21, 2025 version files 6.17 GB

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Abstract

Sex-specific plasticity (SSP) is the phenomenon whereby the size of one sex is more environmentally sensitive than the other, and is thought to underlie the developmental regulation and evolution of sexual size dimorphism (SSD). Sex-specific plasticity is a higher order phenotype that emerges due to the effect of the environment and sex on core growth regulatory mechanisms. Genetic variation in SSP necessarily requires sex- and environment-specific variation in growth, yet the developmental-genetic mechanisms enabling such context-dependent variation remain poorly understood. Using a genome-wide association study (GWAS) and functional validation in Drosophila melanogaster, we dissected the genetic architecture of body size, plasticity, SSD, and SSP across 196 isogenic lineages. We find that each phenotype is governed by largely non-overlapping sets of loci, with most candidate variants lying outside canonical growth pathways. Instead, size trait are shaped by “private QTLs” whose effects are limited to specific sex, trait, or environmental contexts. Functional knockdown of selected candidate genes for SSP revealed that while most did not affect SSP directly, many influenced body size, SSD, and plasticity, consistent with their nested phenotypic relationships. Together, our results suggest that context-dependent alleles in genes peripheral to core growth regulatory pathways drive variation in SSD and SSP, offering a mechanistic explanation for their evolutionary lability and highlighting the role of private QTLs in structuring complex trait architecture. The deposited data include the size phenotypes (196 lineages, female and male body size in fed and starved flies), the SNP identities per lineage, the eigen vectors for the population strutcture, the Wolbachia and inversion status of the lineages, the phenotype data for the functional analysis of candidate QTLs, the list of core growth-regulatory and nutrional-signal genes used in the VEGAS and all the scripts used to analyze the data and generate the figures. The data also include supplementary data tables for the results of the DRGP2 GWAS, MLM GWAS, and VEGAS.