Cellular diversity in the Drosophila midbrain revealed by single-cell transcriptomics

Croset, Vincent; Treiber, Christoph Daniel; Waddell, Scott

doi:10.7554/elife.34550

Cited by 280 publications

(441 citation statements)

References 126 publications

(167 reference statements)

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“…S9). While we cannot 10 exclude the possibility that DIP-δ is also expressed in other MBONs that innervate the γ4 compartment, these results strongly suggest that at the adult stage, γ4/γ5 DIP-δ protein is mainly, if not exclusively, expressed by PAM DANs, consistent with recent profiling experiments (25).…”

Section: Main Textsupporting

confidence: 85%

“…S1A). We have previously demonstrated that regrowth of the adult γ lobe is genetically controlled by the nuclear 25 receptor Unfulfilled (UNF) functioning as a ligand dependent transcription factor (13). To identify potential genes and pathways that mediate axon regrowth and targeting, we sequenced WT γ-neurons during development (14) alongside γ-neurons expressing UNF RNAi (Table S1).…”

Section: Main Textmentioning

confidence: 99%

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Transneuronal Dpr12/DIP-δ interactions facilitate compartmentalized dopaminergic innervation ofDrosophilamushroom body axons

Bornstein

Alyagor

Berkun

et al. 2019

Preprint

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15Precise connectivity of neurites to subcellular domains is a conserved feature of complex circuits, but the mechanisms defining precise wiring are largely unknown. The Drosophila mushroom-body is uniquely poised to study subcellular wiring as the adult γ-lobe harbors five distinct compartments, defined by localized innervations of other neuronal populations. Here we identify mechanisms required for precise wiring of γ-axons: Dpr12 and its interacting protein 20 DIP-δ are both enriched at the γ4/5 compartments. However, while Dpr12 is cell-autonomously required in γ-neurons, DIP-δ acts in dopaminergic neurons for the formation of the γ4/5 compartments and the correct network architecture. Furthermore, γ-axons grow into regions preoccupied by DIP-δ+ neurons suggesting that they innervate a prepatterned lobe. Thus, transneuronal interactions that mediate precise wiring are required for axon 25 compartmentalization. One Sentence Summary:Transneuronal interactions instruct precise wiring that enables localized innervation by specific neurons to distinct axonal compartments.

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Section: Main Textsupporting

confidence: 85%

Section: Main Textmentioning

confidence: 99%

Transneuronal Dpr12/DIP-δ interactions facilitate compartmentalized dopaminergic innervation ofDrosophilamushroom body axons

Bornstein

Alyagor

Berkun

et al. 2019

Preprint

View full text Add to dashboard Cite

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“…Given these withinanimal differences, measuring cells from a single animal would be particularly powerful for reducing variability. All bulk RNAseq and scRNAseq work in Drosophila to date has been done in mixtures of large populations of animals (35)(36)(37). Here we were able to capture nearly half of all cells from the nervous system of a single animal.…”

Section: Polyseq Defines Cell Typesmentioning

confidence: 99%

Comparative single-cell transcriptomics of complete insect nervous systems

Cocanougher

2019

Preprint

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SummaryMolecular profiles of neurons influence information processing, but bridging the gap between genes, circuits, and behavior has been very difficult. Furthermore, the behavioral state of an animal continuously changes across development and as a result of sensory experience. How behavioral state influences molecular cell state is poorly understood. Here we present a complete atlas of the Drosophila larval central nervous system composed of over 200,000 single cells across four developmental stages. We develop polyseq, a python package, to perform cell-type analyses. We use single-molecule RNA-FISH to validate our scRNAseq findings. To investigate how internal state affects cell state, we optogentically altered internal state with high-throughput behavior protocols designed to mimic wasp sting and over activation of the memory system. We found nervous system-wide and neuron-specific gene expression changes. This resource is valuable for developmental biology and neuroscience, and it advances our understanding of how genes, neurons, and circuits generate behavior.

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“…Future studies employing higher resolution expression analysis, such as the single cell approaches that are currently being used to characterize expression patterns across the fly brain, 103 have the potential to provide this fine scale data. Finally, we note that we do not yet have additional functional information confirming that the genes we identify as candidate genes are causative, and it is certainly possible that the true causative gene for any QTL is one we have not identified here.…”

Section: Discussionmentioning

confidence: 99%

Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster

Williams-Simon

Posey

Mitchell

et al. 2019

Genes Brain and Behavior

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Learning and memory are critical functions for all animals, giving individuals the ability to respond to changes in their environment. Within populations, individuals vary, however the mechanisms underlying this variation in performance are largely unknown. Thus, it remains to be determined what genetic factors cause an individual to have high learning ability and what factors determine how well an individual will remember what they have learned. To genetically dissect learning and memory performance, we used the Drosophila synthetic population resource (DSPR), a multiparent mapping resource in the model system Drosophila melanogaster, consisting of a large set of recombinant inbred lines (RILs) that naturally vary in these and othertraits. Fruit flies can be trained in a "heat box" to learn to remain on one side of a chamber (place learning) and can remember this (place memory) over short timescales. Using this paradigm, we measured place learning and memory for~49 000 individual flies from over 700 DSPR RILs. We identified 16 different loci across the genome that significantly affect place learning and/or memory performance, with 5 of these loci affecting both traits. To identify transcriptomic differences associated with performance, we performed RNA-Seq on pooled samples of seven high performing and seven low performing RILs for both learning and memory and identified hundreds of genes with differences in expression in the two sets. Integrating our transcriptomic results with the mapping results allowed us to identify nine promising candidate genes, advancing our understanding of the genetic basis underlying natural variation in learning and memory performance.K E Y W O R D S differential gene expression, Drosophila melanogaster, learning, memory, multiparental population, QTL

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Cellular diversity in the Drosophila midbrain revealed by single-cell transcriptomics

Cited by 280 publications

References 126 publications

Transneuronal Dpr12/DIP-δ interactions facilitate compartmentalized dopaminergic innervation ofDrosophilamushroom body axons

Transneuronal Dpr12/DIP-δ interactions facilitate compartmentalized dopaminergic innervation ofDrosophilamushroom body axons

Comparative single-cell transcriptomics of complete insect nervous systems

Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster

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