Reviewer #2 (Public Review): Homeodomain proteins hierarchically specify neuronal diversity and synaptic connectivity DOI Open Access
Chundi Xu,

Tyler B. Ramos,

Edward M. Rogers

et al.

Published: Dec. 18, 2023

How our brain generates diverse neuron types that assemble into precise neural circuits remains unclear. Using Drosophila lamina (L1-L5), we show the primary homeodomain transcription factor (HDTF) Brain-specific homeobox (Bsh) is initiated in progenitors and maintained L4/L5 neurons to adulthood. Bsh activates secondary HDTFs Ap (L4) Pdm3 (L5) specifies neuronal fates while repressing HDTF Zfh1 prevent ectopic L1/L3 (control: L1-L5; Bsh-knockdown: L1-L3), thereby generating diversity for normal visual sensitivity. Subsequently, L4 neurons, function a feed-forward loop activate synapse recognition molecule DIP-β, bridging fate decision synaptic connectivity. Expression of Bsh:Dam, specifically L4, reveals binding DIP-β locus additional candidate functional identity genes. We propose hierarchically coordinate molecular identity, circuit formation, function. Hierarchical may represent conserved mechanism linking assembly

Language: Английский

Connectome-driven neural inventory of a complete visual system DOI Creative Commons
Aljoscha Nern, Frank Loesche, Shin-ya Takemura

et al.

Nature, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Abstract Vision provides animals with detailed information about their surroundings and conveys diverse features such as colour, form movement across the visual scene. Computing these parallel spatial requires a large network of neurons. Consequently, from flies to humans, regions in brain constitute half its volume. These often have marked structure–function relationships, neurons organized along maps shapes that directly relate roles processing. More than century anatomical studies catalogued detail cell types fly systems 1–3 , behavioural physiological experiments examined capabilities flies. To unravel diversity complex system, careful mapping neural architecture matched tools for targeted exploration this circuitry is essential. Here we present connectome right optic lobe male Drosophila melanogaster acquired using focused ion beam milling scanning electron microscopy. We established comprehensive inventory developed computational framework quantify anatomy. Together, data establish basis interpreting how vision. By integrating analysis connectivity information, neurotransmitter identity expert curation, classified approximately 53,000 into 732 types. are systematically described newly named. Finally, share an extensive collection split-GAL4 lines our neuron-type catalogue. Overall, set unlocks new possibilities systematic investigations vision foundation deeper understanding sensory

Language: Английский

Citations

2
A split-GAL4 driver line resource forDrosophilaneuron types DOI Creative Commons
Geoffrey W. Meissner,

Allison Vannan,

Jennifer Jeter

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 10, 2024

Abstract Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Language: Английский

Citations

12
Brain wiring determinants uncovered by integrating connectomes and transcriptomes DOI Creative Commons
Juyoun Yoo, Mark Dombrovski,

Parmis Mirshahidi

et al.

Current Biology, Journal Year: 2023, Volume and Issue: 33(18), P. 3998 - 4005.e6

Published: Aug. 29, 2023

Advances in brain connectomics have demonstrated the extraordinary complexity of neural circuits.1,2,3,4,5 Developing neurons encounter axons and dendrites many different neuron types form synapses with only a subset them. During circuit assembly, express cell-type-specific repertoires comprising cell adhesion molecules (CAMs) that can mediate interactions between developing neurites.6,7,8 Many CAM families been shown to contribute wiring ways.9,10 It has challenging, however, identify receptor-ligand pairs directly matching their synaptic targets. Here, we integrated synapse-level connectome circuit11,12 developmental expression patterns7 binding specificities CAMs6,13 on pre- postsynaptic Drosophila visual system. To overcome circuits, focus genetically related make differential choices. In motion detection circuit,14 closely subtypes T4/T5 choose alternative targets adjacent layers neuropil.12 This choice correlates partners Beat Side CAMs. Genetic analysis presynaptic Side-II Beat-VI restrict same layer. Removal this pair disrupts leads inappropriate targeting sites dendrites. We propose Side/Beat collaborate other recognition determine fly brain. Combining transcriptomes, connectomes, protein interactome maps allow unbiased identification determinants wiring.

Language: Английский

Citations

19
A comprehensive neuroanatomical survey of theDrosophilaLobula Plate Tangential Neurons with predictions for their optic flow sensitivity DOI Creative Commons
Arthur Zhao, Aljoscha Nern, Sanna Koskela

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 17, 2023

Abstract Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

Citations

13
A comprehensive neuroanatomical survey of the Drosophila Lobula Plate Tangential Neurons with predictions for their optic flow sensitivity DOI Open Access
Arthur Zhao, Aljoscha Nern, Sanna Koskela

et al.

Published: Jan. 9, 2024

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells dipteran lobula plate, whose visual-motion responses, lesser extent, morphology, explored using single-neuron neurophysiology. Most these studies focused on large, Horizontal Vertical System neurons, yet plate houses much larger set ‘optic-flow’ many which challenging unambiguously identify or reliably target functional studies. Here we report comprehensive reconstruction identification Lobula Plate Tangential an Electron Microscopy (EM) volume whole Drosophila brain. This catalog 58 LPT (per brain hemisphere) contains described here first time provides basis systematic investigation circuitry linking locomotion control. Leveraging computational anatomy methods, estimated motion receptive fields compared tuning consequence body rotations translational movements. We also matched most cases one-for-one basis, stochastically labeled genetic driver lines, mirror-symmetric same EM volume, additional data set. Using cell matches across sets, analyzed integration downstream LPTs find central establish sharper selectivity global than input neurons. Furthermore, found information extracted from processed distinct regions brain, pointing diverse foci generation behaviors.

Language: Английский

Citations

5
eLife assessment: A split-GAL4 driver line resource for Drosophila CNS cell types DOI Open Access
Tânia Reis

Published: July 30, 2024

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. In addition stocks for well-characterized lines, we make available 300,000 new 3D lines.

Language: Английский

Citations

4
A split-GAL4 driver line resource for Drosophila neuron types DOI Open Access
Geoffrey W. Meissner,

Allison Vannan,

Jennifer Jeter

et al.

Published: Jan. 6, 2025

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Language: Английский

Citations

0
A split-GAL4 driver line resource for Drosophila neuron types DOI Creative Commons
Geoffrey W. Meissner,

Allison Vannan,

Jennifer Jeter

et al.

eLife, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 24, 2025

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system (CNS) have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult CNS 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. Previously published new included, all validated for expression curated optimal cell-type specificity across diverse types. In addition stocks well-characterized lines, we make available 300,000 3D lines.

Language: Английский

Citations

0
Multilevel visual motion opponency in Drosophila DOI Creative Commons

Georg Ammer,

Étienne Serbe, Alex S. Mauss

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(11), P. 1894 - 1905

Published: Oct. 2, 2023

Abstract Inhibitory interactions between opponent neuronal pathways constitute a common circuit motif across brain areas and species. However, in most cases, synaptic wiring biophysical, cellular network mechanisms generating opponency are unknown. Here, we combine optogenetics, voltage calcium imaging, connectomics, electrophysiology modeling to reveal multilevel inhibition the fly visual system. We uncover architecture which single cell type implements direction-selective, motion-opponent at all three levels. This inhibition, mediated by GluClα receptors, is balanced with excitation strength, despite tenfold fewer synapses. The different levels nested, hierarchical structure operating increasing spatiotemporal scales. Electrophysiology suggest that distributing this computation over consecutive counteracts reduction gain, would result from integrating large opposing conductances instance. propose neural provides resilience noise while enabling high selectivity for relevant sensory information.

Language: Английский

Citations

9
A split-GAL4 driver line resource for Drosophila CNS cell types DOI Open Access
Geoffrey W. Meissner,

Allison Vannan,

Jennifer Jeter

et al.

Published: July 30, 2024

Techniques that enable precise manipulations of subsets neurons in the fly central nervous system have greatly facilitated our understanding neural basis behavior. Split-GAL4 driver lines allow specific targeting cell types Drosophila melanogaster and other species. We describe here a collection 3060 range adult 1373 characterized third-instar larvae. These tools functional, transcriptomic, proteomic studies based on anatomical targeting. NeuronBridge search relate light microscopy images these split-GAL4 to connectomes reconstructed from electron images. The collections are result screening over 77,000 split hemidriver combinations. In addition stocks for well-characterized lines, we make available 300,000 new 3D lines.

Language: Английский

Citations

3