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Comparative connectomics of the descending and ascending neurons of the Drosophila nervous system: stereotypy and sexual dimorphism.
Stürner, Tomke; Brooks, Paul; Capdevila, Laia Serratosa; Morris, Billy J; Javier, Alexandre; Fang, Siqi; Gkantia, Marina; Cachero, Sebastian; Beckett, Isabella R; Champion, Andrew S; Moitra, Ilina; Richards, Alana; Klemm, Finja; Kugel, Leonie; Namiki, Shigehiro; Cheong, Han S J; Kovalyak, Julie; Tenshaw, Emily; Parekh, Ruchi; Schlegel, Philipp; Phelps, Jasper S; Mark, Brandon; Dorkenwald, Sven; Bates, Alexander S; Matsliah, Arie; Yu, Szi-Chieh; McKellar, Claire E; Sterling, Amy; Seung, Sebastian; Murthy, Mala; Tuthill, John; Lee, Wei-Chung A; Card, Gwyneth M; Costa, Marta; Jefferis, Gregory S X E; Eichler, Katharina.
Afiliação
  • Stürner T; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Brooks P; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Capdevila LS; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Morris BJ; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Javier A; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Fang S; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Gkantia M; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Cachero S; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Beckett IR; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Champion AS; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Moitra I; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Richards A; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Klemm F; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Kugel L; Genetics Department, Leipzig University, Leipzig, Germany.
  • Namiki S; Genetics Department, Leipzig University, Leipzig, Germany.
  • Cheong HSJ; Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan.
  • Kovalyak J; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
  • Tenshaw E; Zuckerman Institute, Columbia University, New York, United States.
  • Parekh R; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
  • Schlegel P; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
  • Phelps JS; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
  • Mark B; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Dorkenwald S; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Bates AS; Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
  • Matsliah A; Brain Mind Institute & Institute of Bioengineering, EPFL, 1015 Lausanne, Switzerland.
  • Yu SC; Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA.
  • McKellar CE; Princeton Neuroscience Institute, Princeton University, Princeton, USA.
  • Sterling A; Computer Science Department, Princeton University, USA.
  • Seung S; Neurobiology Division, MRC Laboratory of Molecular Biology, Cambridge, UK.
  • Murthy M; Drosophila Connectomics Group, Department of Zoology, University of Cambridge, Cambridge, UK.
  • Tuthill J; Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
  • Lee WA; Centre for Neural Circuits and Behaviour, The University of Oxford, Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK.
  • Card GM; Princeton Neuroscience Institute, Princeton University, Princeton, USA.
  • Costa M; Princeton Neuroscience Institute, Princeton University, Princeton, USA.
  • Jefferis GSXE; Princeton Neuroscience Institute, Princeton University, Princeton, USA.
  • Eichler K; Princeton Neuroscience Institute, Princeton University, Princeton, USA.
bioRxiv ; 2024 Jun 28.
Article em En | MEDLINE | ID: mdl-38895426
ABSTRACT
In most complex nervous systems there is a clear anatomical separation between the nerve cord, which contains most of the final motor outputs necessary for behaviour, and the brain. In insects, the neck connective is both a physical and information bottleneck connecting the brain and the ventral nerve cord (VNC, spinal cord analogue) and comprises diverse populations of descending (DN), ascending (AN) and sensory ascending neurons, which are crucial for sensorimotor signalling and control. Integrating three separate EM datasets, we now provide a complete connectomic description of the ascending and descending neurons of the female nervous system of Drosophila and compare them with neurons of the male nerve cord. Proofread neuronal reconstructions have been matched across hemispheres, datasets and sexes. Crucially, we have also matched 51% of DN cell types to light level data defining specific driver lines as well as classifying all ascending populations. We use these results to reveal the general architecture, tracts, neuropil innervation and connectivity of neck connective neurons. We observe connected chains of descending and ascending neurons spanning the neck, which may subserve motor sequences. We provide a complete description of sexually dimorphic DN and AN populations, with detailed analysis of circuits implicated in sex-related behaviours, including female ovipositor extrusion (DNp13), male courtship (DNa12/aSP22) and song production (AN hemilineage 08B). Our work represents the first EM-level circuit analyses spanning the entire central nervous system of an adult animal.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido