High-resolution single-cell analyses reveal evolutionary constraints and evolvability of sexual circuits in Drosophila

高分辨率单细胞分析揭示了果蝇性回路的进化限制和进化能力

阅读:1

Abstract

Understanding how the cellular and molecular composition of neural circuits evolves to generate species-specific behaviors remains a major challenge in evolutionary biology and neuroscience. The remarkable diversity of male sexual behaviors among Drosophila species, despite their recent divergence, offers an excellent model for addressing this question. Here, by harnessing single-cell transcriptomics of the sexual circuits labeled by the sex determination gene doublesex (dsx) at high resolution, we delineated 84 molecularly distinct dsx+ cell types, each mapped to anatomically and functionally defined dsx+ neural populations. Our findings revealed a largely conserved cellular architecture, with minimal evolutionary gain or loss of cell types across four Drosophila species. A detailed comparison between Drosophila melanogaster (D. melanogaster) and D. yakuba uncovered pervasive heterogeneity in transcriptomic divergence among dsx+ cell types. While core cell type identities-defined by the sex determination gene fruitless (fru), neurotransmitters, monoamines, and transcription factors-remain highly conserved, we observed striking evolutionary turnover in neuropeptide signaling pathways in a highly cell-type-specific manner, underscoring the role of functional reconfiguration of conserved circuits in behavioral evolution. Further investigation of sex differences in dsx+ neurons revealed that male-specific cell types are not more evolutionarily divergent than sex-unbiased ones. Finally, we developed an interactive web resource for data access and characterized marker gene combinations enabling cell-type-specific labeling. Overall, our study provides insights into how neural circuits evolve to encode behavioral diversity and establishes a high-resolution framework for understanding the cellular basis of behavioral adaptation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。