Organization and evolution of sex-biased gene expression in <i>Drosophila</i> adult sexual circuits
Sexually dimorphic behaviors are widespread across animals. A key open question is how the underlying sexual circuits, which encode these behaviors, evolve to meet sex-specific fitness needs despite being built from largely shared developmental blueprints. Here, we use single-cell transcriptomics, leveraging the sex determination gene <i>fruitless</i> (<i>fru</i>) as a molecular handle, to examine the transcriptomic landscape and evolution of adult <i>Drosophila</i> sexual circuits at cellular resolution. We find that sex-biased gene expression is limited, highly cell-type-specific, and largely species-specific. Species divergence in gene expression is widespread and predominantly coupled between sexes, with sex-specific changes constrained by pleiotropic gene expression across cell types. Furthermore, a strong overlap of differentially expressed genes across sexes, species, and <i>fru</i> status points to a common set of genes, particularly neural signaling genes, whose expressions are highly labile across multiple contexts. Finally, transcriptomic divergence between sexes decreases from mid-pupae to adulthood, underscoring the developmentally dynamic nature of sex-biased gene expression. Our results provide fundamental insights into the organization and evolutionary mode of sex-biased gene expression, suggesting that sex-specific adaptation via selective gene programs at localized circuit nodes is a key mechanism that preserves circuit evolvability despite pervasive transcriptomic coupling between sexes.
Authors
- Harold Gifford
- Yerbol Z. Kurmangaliyev (ORCID: https://orcid.org/0000-0003-4829-2025)
- Yun Ding
Institutions
- Brandeis University (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-03-03
- DOI
- https://doi.org/10.64898/2026.02.28.708756
- Primary Topic
- Developmental Biology and Gene Regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.00