A global molecular code for birth order and neuronal identity in Drosophila

Abstract The assembly of functional neural circuits relies on the generation of diverse neural types with precise molecular identity and connectivity. Unlocking general principles of neuronal specification and wiring across the nervous system requires a systematic and high-resolution characterization of its diversity, recently enabled by advances in single-cell transcriptomics and connectomics. However, linking the molecular identity of neurons to circuit architecture remains a key challenge. Here we present a high-resolution developmental transcriptional atlas for the Drosophila melanogaster nerve cord, the central hub for sensory–motor circuits. With a considerable 38× aggregate coverage relative to its reference connectome 1,2 , our atlas captures extensive molecular diversity and enables robust alignment to the adult connectome. We identified three developmental principles underlying neuronal diversity in the nerve cord. First, the timing of neurogenesis shapes diversification of molecular identity: embryonic-born neurons diverge faster than larval-born neurons, as also observed in the adult connectome. Second, 17 transcription factors common to neurons from all lineages provide a global molecular identity code for birth order. Lastly, by mapping sex-specific transcriptional profiles to the connectome, we identified female-specific apoptosis and transcriptional divergence as key global drivers of sex specification. By revealing key organizational axes of molecular identity, this atlas opens avenues to dissect the molecular mechanisms underpinning the development and evolution of neural circuits.

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Publication Details

Journal
Nature
Published
2026-07-22
DOI
https://doi.org/10.1038/s41586-026-10797-w
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
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article

A global molecular code for birth order and neuronal identity in Drosophila

Elizabeth C. Marin, Jelly HM Soffers, Laia Serratosa Capdevila, Marina Gkantia et al.
Nature
Neurobiology and Insect Physiology Research
article

A global molecular code for birth order and neuronal identity in Drosophila

Elizabeth C. Marin, Jelly HM Soffers, Laia Serratosa Capdevila, Marina Gkantia, Haluk Lacin, Gregory S.X.E. Jefferis, Erika Doná, Sebastian Cachero, Isabella R. Beckett, Myrto Mitletton
article en

Abstract

Abstract The assembly of functional neural circuits relies on the generation of diverse neural types with precise molecular identity and connectivity. Unlocking general principles of neuronal specification and wiring across the nervous system requires a systematic and high-resolution characterization of its diversity, recently enabled by advances in single-cell transcriptomics and connectomics. However, linking the molecular identity of neurons to circuit architecture remains a key challenge. Here we present a high-resolution developmental transcriptional atlas for the Drosophila melanogaster nerve cord, the central hub for sensory–motor circuits. With a considerable 38× aggregate coverage relative to its reference connectome 1,2 , our atlas captures extensive molecular diversity and enables robust alignment to the adult connectome. We identified three developmental principles underlying neuronal diversity in the nerve cord. First, the timing of neurogenesis shapes diversification of molecular identity: embryonic-born neurons diverge faster than larval-born neurons, as also observed in the adult connectome. Second, 17 transcription factors common to neurons from all lineages provide a global molecular identity code for birth order. Lastly, by mapping sex-specific transcriptional profiles to the connectome, we identified female-specific apoptosis and transcriptional divergence as key global drivers of sex specification. By revealing key organizational axes of molecular identity, this atlas opens avenues to dissect the molecular mechanisms underpinning the development and evolution of neural circuits.

Nature
MRC Laboratory of Molecular Biology (GB), University of Cambridge (GB), At Bristol (GB), Neuroscience Institute (IT), University of Missouri–Kansas City (US)
Openalex Percentile: Top 13%
Neurobiology and Insect Physiology Research
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