Brains contain large number of neurons whose connections, formed by axonal and dendritic processes, are the structural underpinning of electrical circuits that control behavior. The analysis of circuits is of great importance. All acts of fine motor control, memory formation and cognition can only be understood if the circuitry within the brain compartments dealing with these functions is known. Likewise, the insight into psychiatric disease mechanisms and their pharmacological treatment requires brain circuitry to be known in detail. For example, recent findings suggest that diseases like autism or schizophrenia can be understood in terms of abnormalities in the micro- circuitry of the prefrontal cortex. We propose in this grant to develop and utilize bioinformatics tools that enable us to address circuitry in the Drosophila brain. The Drosophila central brain is formed by a stereotyped set of approximately 100 paired lineages, each one derived from one neuroblast. Neurons of one lineage form processes that spread within discrete compartments of the brain. Lineages thereby represent the most appropriate structural/developmental units of brain macro-circuitry. Reconstructing the projection of all lineages means to have generated an accurate map of Drosophila brain circuitry at the level of neuron populations (""""""""macro-circuitry""""""""). We propose to generate this map, presented in a standardized electronic format that is accessible to the neurobiology community. In addition, we will reconstruct circuitry at the level of individual synapses (""""""""micro-circuitry""""""""), which requires electron microscopy (EM). We have developed the software required for the automated recording, registration and navigation of large EM image data sets. We will further improve and use these tools to generate a digital EM dataset that, for the first time, encompasses the entire brain of an animal with a sizeable number of structurally complex neurons. Our software allows us to efficiently reconstruct the neural networks encountered in different parts of the brain. We anticipate that we will be able to learn structural principles about neural network that have general application.

Public Health Relevance

Drosophila serves as an important model to study how neural circuits develop and function to control behavior. The Drosophila brain is formed by an invariant set of lineages, each of which is derived from a unique neural stem cell (neuroblast) and forms a genetic and structural unit of the brain. We will use bioinformatics tools to generate a comprehensive digital atlas of the Drosophila brain lineages and their connections, which can be used by the neurobiology community at large to map and analyze neurons and circuits.

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Research Project (R01)
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Neurotechnology Study Section (NT)
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Liu, Yuan
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University of California Los Angeles
Schools of Arts and Sciences
Los Angeles
United States
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Hartenstein, Volker; Cruz, Louie; Lovick, Jennifer K et al. (2017) Developmental analysis of the dopamine-containing neurons of the Drosophila brain. J Comp Neurol 525:363-379
Hartenstein, Volker; Takashima, Shigeo; Hartenstein, Parvana et al. (2017) bHLH proneural genes as cell fate determinants of entero-endocrine cells, an evolutionarily conserved lineage sharing a common root with sensory neurons. Dev Biol 431:36-47
Ngo, Kathy T; Andrade, Ingrid; Hartenstein, Volker (2017) Spatio-temporal pattern of neuronal differentiation in the Drosophila visual system: A user's guide to the dynamic morphology of the developing optic lobe. Dev Biol 428:1-24
Sarov, Mihail; Barz, Christiane; Jambor, Helena et al. (2016) A genome-wide resource for the analysis of protein localisation in Drosophila. Elife 5:e12068
Aghajanian, Patrick; Takashima, Shigeo; Paul, Manash et al. (2016) Metamorphosis of the Drosophila visceral musculature and its role in intestinal morphogenesis and stem cell formation. Dev Biol 420:43-59
Joly, Jean-St├ęphane; Recher, Gaelle; Brombin, Alessandro et al. (2016) A Conserved Developmental Mechanism Builds Complex Visual Systems in Insects and Vertebrates. Curr Biol 26:R1001-R1009
Omoto, Jaison J; Lovick, Jennifer K; Hartenstein, Volker (2016) Origins of glial cell populations in the insect nervous system. Curr Opin Insect Sci 18:96-104
Lovick, Jennifer K; Kong, Angel; Omoto, Jaison J et al. (2016) Patterns of growth and tract formation during the early development of secondary lineages in the Drosophila larval brain. Dev Neurobiol 76:434-51
Omoto, Jaison Jiro; Yogi, Puja; Hartenstein, Volker (2015) Origin and development of neuropil glia of the Drosophila larval and adult brain: Two distinct glial populations derived from separate progenitors. Dev Biol 404:2-20
Lovick, Jennifer K; Hartenstein, Volker (2015) Hydroxyurea-mediated neuroblast ablation establishes birth dates of secondary lineages and addresses neuronal interactions in the developing Drosophila brain. Dev Biol 402:32-47

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