FB2026_02 , released June 18, 2026
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Citation
Soffers, J.H.M., Beck, E., Sytkowski, D.J., Maughan, M.E., Devarakonda, D., Zhu, Y., Wilson, B.A., Chen, Y.D., Erclik, T., Truman, J.W., Skeath, J.B., Lacin, H. (2025). A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the Drosophila ventral nerve cord.  eLife 14(): RP106042.
FlyBase ID
FBrf0262569
Publication Type
Research paper
Abstract
Understanding developmental changes in neuronal lineages is crucial to elucidate how they assemble into functional neural networks. Studies investigating nervous system development in model systems have only focused on select regions of the CNS due to the limited availability of genetic drivers that target specific neuronal lineages throughout development and adult life. This has hindered our understanding of how distinct neuronal lineages interconnect to form neuronal circuits during development. Here, we present a split-GAL4 library composed of genetic driver lines, which we generated via editing the genomic locus of lineage-specific transcription factors and demonstrate that we can use this library to specifically target most individual neuronal hemilineages in the Drosophila ventral nerve cord (VNC) throughout development and into adulthood. Using these genetic driver lines, we found striking morphological changes in neuronal processes within a lineage during metamorphosis. We also demonstrated how neurochemical features of neuronal classes can be quickly assessed. Lastly, we documented behaviors elicited in response to optogenetic activation of individual neuronal lineages and generated a comprehensive lineage-behavior map of the entire fly VNC. Looking forward, this lineage-specific split-GAL4 driver library will provide the genetic tools needed to address the questions emerging from the analysis of the recent VNC connectome and transcriptome datasets.
PubMed ID
PubMed Central ID
PMC12151538 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference
    Alleles (111)
    Genes (35)
    Insertions (82)
    Experimental Tools (3)
    Transgenic Constructs (14)