A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the ventral nerve cord.

Journal: eLife
Published Date:

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 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.

Authors

  • Jelly H M Soffers
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.
  • Erin Beck
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.
  • Daniel J Sytkowski
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.
  • Marianne E Maughan
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.
  • Devasri Devarakonda
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.
  • Yi Zhu
    2State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong China.
  • Beth A Wilson
    Department of Genetics, Washington University School of Medicine, St. Louis, United States.
  • Yu-Chieh David Chen
    Department of Biology, New York University, New York, United States.
  • Ted Erclik
    Department of Biology, University of Toronto - Mississauga, Mississauga, Canada.
  • James W Truman
    Department of Biology, University of Washington, Seattle, United States.
  • James B Skeath
    Department of Genetics, Washington University School of Medicine, St. Louis, United States.
  • Haluk Lacin
    School of Science and Engineering, Division Biological and Biomedical Systems, University of Missouri-Kansas City, Kansas City, United States.