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Learning from connectomics on the fly.

Accepted version
Peer-reviewed

Type

Article

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Authors

Costa, Marta 
Jefferis, Gregory Sxe 

Abstract

Parallels between invertebrates and vertebrates in nervous system development, organisation and circuits are powerful reasons to use insects to study the mechanistic basis of behaviour. The last few years have seen the generation in Drosophila melanogaster of very large light microscopy data sets, genetic driver lines and tools to report or manipulate neural activity. These resources in conjunction with computational tools are enabling large scale characterisation of neuronal types and their functional properties. These are complemented by 3D electron microscopy, providing synaptic resolution data. A whole brain connectome of the fly larva is approaching completion based on manual reconstruction of electron-microscopy data. An adult whole brain dataset is already publicly available and focussed reconstruction is under way, but its 40× greater volume would require ∼500-5000 person-years of manual labour. Nevertheless rapid technical improvements in imaging and especially automated segmentation will likely deliver a complete adult connectome in the next 5 years. To enhance our understanding of the circuit basis of behaviour, light and electron microscopy outputs must be integrated with functional and physiological information into comprehensive databases. We review presently available data, tools and opportunities in Drosophila. We then consider the limits and potential of future progress and how this may impact neuroscience in rich model systems provided by larger insects and vertebrates.

Description

Keywords

Animals, Brain, Connectome, Drosophila melanogaster, Larva, Neurons, Neurosciences

Journal Title

Curr Opin Insect Sci

Conference Name

Journal ISSN

2214-5745
2214-5753

Volume Title

24

Publisher

Elsevier BV
Sponsorship
Wellcome Trust (203261/Z/16/Z)
European Research Council (649111)