Information flow, cell types and stereotypy in a full olfactory connectome

Author:

Schlegel Philipp12ORCID,Bates Alexander Shakeel1ORCID,Stürner Tomke2ORCID,Jagannathan Sridhar R2ORCID,Drummond Nikolas2,Hsu Joseph23,Serratosa Capdevila Laia2,Javier Alexandre2,Marin Elizabeth C2ORCID,Barth-Maron Asa4,Tamimi Imaan FM2,Li Feng3ORCID,Rubin Gerald M3ORCID,Plaza Stephen M3ORCID,Costa Marta2ORCID,Jefferis Gregory S X E12ORCID

Affiliation:

1. Neurobiology Division, MRC Laboratory of Molecular Biology

2. Department of Zoology, University of Cambridge

3. Janelia Research Campus, Howard Hughes Medical Institute

4. Department of Neurobiology, Harvard Medical School

Abstract

The hemibrain connectome provides large-scale connectivity and morphology information for the majority of the central brain of Drosophila melanogaster. Using this data set, we provide a complete description of the Drosophila olfactory system, covering all first, second and lateral horn-associated third-order neurons. We develop a generally applicable strategy to extract information flow and layered organisation from connectome graphs, mapping olfactory input to descending interneurons. This identifies a range of motifs including highly lateralised circuits in the antennal lobe and patterns of convergence downstream of the mushroom body and lateral horn. Leveraging a second data set we provide a first quantitative assessment of inter- versus intra-individual stereotypy. Comparing neurons across two brains (three hemispheres) reveals striking similarity in neuronal morphology across brains. Connectivity correlates with morphology and neurons of the same morphological type show similar connection variability within the same brain as across two brains.

Funder

Wellcome Trust

European Research Council

Medical Research Council

National Institutes of Health

Boehringer Ingelheim Fonds

Herchel Smith

Howard Hughes Medical Institute

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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