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. 2024 Jan 25;12:RP90523. doi: 10.7554/eLife.90523

New genetic tools for mushroom body output neurons in Drosophila

Gerald M Rubin 1,✉, Yoshinori Aso 1,✉
Editors: Mani Ramaswami2, Albert Cardona3
PMCID: PMC10945696  PMID: 38270577

Abstract

How memories of past events influence behavior is a key question in neuroscience. The major associative learning center in Drosophila, the mushroom body (MB), communicates to the rest of the brain through mushroom body output neurons (MBONs). While 21 MBON cell types have their dendrites confined to small compartments of the MB lobes, analysis of EM connectomes revealed the presence of an additional 14 MBON cell types that are atypical in having dendritic input both within the MB lobes and in adjacent brain regions. Genetic reagents for manipulating atypical MBONs and experimental data on their functions have been lacking. In this report we describe new cell-type-specific GAL4 drivers for many MBONs, including the majority of atypical MBONs that extend the collection of MBON driver lines we have previously generated (Aso et al., 2014a; Aso et al., 2016; Aso et al., 2019). Using these genetic reagents, we conducted optogenetic activation screening to examine their ability to drive behaviors and learning. These reagents provide important new tools for the study of complex behaviors in Drosophila.

Research organism: D. melanogaster

Introduction

The mushroom body (MB) is the major site of associative learning in insects (reviewed in Heisenberg, 2003; Modi et al., 2020). In the MB of each Drosophila brain hemisphere, multiple modalities of sensory stimuli are represented by the sparse activity of ~2000 Kenyon cells (KCs) whose parallel axonal fibers form the MB lobes. The lobes are further divided into compartments by the innervation patterns of dopaminergic neuron (DAN) axons and mushroom body output neuron (MBON) dendrites. MBONs provide the convergence element of the MB’s three-layer divergent-convergent circuit architecture and the outputs of the MBONs drive learned behaviors.

Whereas the dendrites of typical MBONs are strictly confined to the MB lobes, analysis of the Drosophila connectome in larvae (Eichler et al., 2017) and adults (Li et al., 2020; Scheffer et al., 2020) revealed a new class of ‘atypical’ MBONs, consisting of 14 cell types in adults, that have part of their dendritic arbors outside the MB lobes, allowing them to integrate input from KCs with other information (Li et al., 2020). Some atypical MBONs receive dendritic input from other MBONs. Several provide output onto DANs that innervate the MB to participate in recurrent networks. At least five make strong, direct synaptic contact onto descending neurons that drive motor action. Three provide strong direct connections to tangential neurons of the fan-shaped body of the central complex (CX). However, analysis of the behaviors mediated by atypical MBONs has been limited by the lack of genetic drivers needed to manipulate their activity.

Here, we report the generation and characterization of cell-type-specific split-GAL4 driver lines for the majority of the atypical MBONs. We also provide driver lines for two typical MBON types for which cell-type-specific split-GAL4 drivers were not previously available, and improved drivers for several other MBONs. We demonstrate the use of these new split-GAL4 lines in two behavioral assays. Using a four-armed olfactory arena equipped with optogenetic LED panels (Aso and Rubin, 2016; Pettersson, 1970), we assessed the ability of the labeled neurons to act as the unconditioned stimulus in an olfactory learning assay, an indication of their regulation of the activity of DANs. We also measured the effects of their optogenetic activation on kinematic parameters relevant for olfactory navigation. These reagents provide important new tools for the study of complex behaviors in Drosophila.

Results and discussion

Generation and characterization of split-GAL4 lines for MBONs

We generated split-GAL4 genetic driver lines corresponding to MBON cell type using well-established methods (Dionne et al., 2018; Luan et al., 2006; Pfeiffer et al., 2010; Tirian and Dickson, 2017). The morphologies of the MBONs, produced by electron microscopic reconstruction, were used to search databases of light microscopic images to identify enhancers whose expression patterns might yield clean driver lines for that MBON when intersected (Otsuna et al., 2018; Meissner et al., 2023). We took advantage of an expanded set of starting reagents that were not available when Aso et al., 2014a, generated the original set of split-GAL4 drivers for the MB cell types; in addition to the ~7000 GAL4 expression patterns described in Jenett et al., 2012, we had access to an additional ~9000 GAL4 expression patterns (Tirian and Dickson, 2017). A total of approximately 600 intersections were experimentally tested to generate the split-GAL4 lines reported here.

Figure 1 shows examples of expression patterns of some of the highest quality split-GAL4 lines. For many cell types we were able to identify multiple different split-GAL4 lines. The brain and ventral nerve cord expression patterns of all split-GAL4 lines are shown in Figure 1—figure supplement 1 for atypical MBONs and Figure 1—figure supplement 2 for typical MBONs. The original confocal stacks from which these figures were generated, as well as additional image data, are available for download at https://splitgal4.janelia.org. Videos 1 and 2 provide examples of comparisons between light microscopic images from these lines and neuronal skeletons from the hemibrain dataset (Scheffer et al., 2020) that were used to confirm the assignment of cell-type identity. Figure 1—figure supplement 3 summarizes what we consider to be the best available split-GAL4 lines for each of the MBON types identified by connectomics, based on a combination of the lines presented here and in previous studies. The expression patterns shown in this paper were obtained using an antibody against GFP which visualizes expression from 20xUAS-CsChrimson-mVenus in attP18. Directly visualizing the optogenetic effector is important since expression intensity, the number of labeled MBONs, and off-targeted expression can differ when other UAS-reporter/effectors are used (e.g. see Figure 2—figure supplement 1 of Aso et al., 2014a).

Figure 1. Selected images of new split-GAL4 lines.

Panels A and C–H show expression (maximum intensity projections) of the indicated split-GAL4 line in the relevant portion of the brain. In panels A–H, the consensus JFRC2018 unisex brain template is also shown (green). Images showing the full brain, optic lobe, and ventral nerve cord of these lines can be found in Figure 1—figure supplement 1 (for E–H) and Figure 1—figure supplement 2 (for A–D). Panels B, I, and J show images derived from stochastic labeling that reveal the morphology of individual cells. The original confocal stacks from which these images were derived are available for download at https://splitgal4.janelia.org/cgi-bin/splitgal4.cgi.

Figure 1.

Figure 1—figure supplement 1. Maximum intensity projections of the brains and ventral nerve cords of split-GAL4 lines for atypical mushroom body output neuron (MBON).

Figure 1—figure supplement 1.

Figure 1—figure supplement 2. Maximum intensity projections of the brains and ventral nerve cords of split-GAL4 lines for typical mushroom body output neuron (MBON).

Figure 1—figure supplement 2.

Figure 1—figure supplement 3. Summary list of selected split-GAL4 lines for all mushroom body output neuron (MBON) cell types.

Figure 1—figure supplement 3.

These lines represent what we believe to be the best available split-GAL4 drivers for each cell type. The mushroom body (MB) compartments they innervate and neurotransmitters are shown. The neurotransmitters that are shaded in gray were assigned based solely on computational prediction (Eckstein et al., 2020). Other transmitters have been confirmed by antibody staining (Aso et al., 2014a) or EASI-FISH (Eddison and Ihrke, 2022). The number of cells per hemisphere is shown for each cell type. Available split-GAL4 are listed. Lines listed in boldface are generally of higher quality. Lines whose names are shown in purple font were generated as part of this study. Lines whose names are shown in black font were described in Aso et al., 2014a. Lines from other studies are shown brown font and their sources were as follows: SS01308, Aso et al., 2019; G0239, Chiang et al., 2011; SS46348, Otto et al., 2020; MB618B, SS01127, SS01188, SS01194, SS01298, SS01337, and SS01388, Shuai et al., 2023 release: https://splitgal4.janelia.org.
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Video 1. Comparison of light microscopic images of atypical mushroom body output neurons (MBONs) with hemibrain skeletons of the corresponding cell types.

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Video 2. Comparison of light microscopic images of typical mushroom body output neurons (MBONs) with hemibrain skeletons of the corresponding cell types.

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For typical MBONs, we provide split-GAL4 lines for two cell types for which drivers were not described in Aso et al., 2014a, MBON21 and MBON23. We also provide improved lines for MBON04 and MBON19; previous drivers for MBON04 also had expression in other MBON cell types and our new line for MBON19 has less off-target expression (see Aso et al., 2014a, for previous lines).

For atypical MBONs we were able to generate multiple, independent driver lines for MBON20, MBON29, MBON30, and MBON33 that provide strong and specific expression. Several lines for MBON31 were generated, but they are also stochastically expressed in MBON32. Lines for MBON26 and MBON35 have some off-target expression that might compromise their use in behavioral assays, but they should permit cell-type-specific imaging studies. We failed to generate lines for MBON24, MBON25, MBON27, MBON32, and MBON34. We identified two candidate lines for MBON28 but because the morphology of MBON28 is very similar to those of MBON16 and MBON17 we were not able to make a definitive cell-type assignment (see Figure 1—figure supplement 3).

Activation phenotypes of MBON lines

MBONs are the first layer of neurons that transform memories stored inside the MB into actions. MBONs can also provide input to the dendrites of the DANs that innervate the MB lobes, forming a recurrent network. To investigate these two aspects of MBON function, we used a four-armed olfactory arena equipped with LED panels for optogenetics (Figure 2A). A group of ~20 starved flies that express CsChrimson in a particular MBON cell type was subjected to a series of optogenetic olfactory conditioning and memory tests, and then to six trials of activation in the absence of odors but with airflow (Figure 2B). Using the same setup and similar protocols, we have previously characterized the dynamics of memories formed by optogenetically activating DAN cell types innervating different MB compartments (Aso and Rubin, 2016) and analyzed circuits downstream of the MBONs that promote upwind locomotion (Aso et al., 2023). Figure 2C displays the results of these behavioral experiments sorted by the mean memory score of each cell type in the final memory test. When possible, we ran multiple independent split-GAL4 lines for the same MBON cell type. The concurrence of phenotypes in these cases provides further evidence that the observed effects are due to the activation of that cell type rather than off-target expression or genetic background effects.

Figure 2. Behavioral consequences of optogenetic activation.

(A) The four-armed olfactory arena. Approximately 20 starved female flies were confined in 10 cm diameter and 3 mm high circular area with a hole at the center for air suction. Odor was introduced through four channels at the corners. (B) The protocol for behavioral experiments. Flies were trained by pairing 60 s of odor A with 30 1 s pulses of 627 nm LED light, each separated by 1 s without illumination. A different odor, odor B, was presented without red LED illumination, and then preference between two odors was tested. In the reciprocal experiments, odor B was paired with red light and A was unpaired. The same training was repeated twice more and then a second odor preference test was performed. Finally, six cycles of 10 s 627 nm illumination were applied, spaced by 100 s intervals without odor. Airflow was maintained at 400 mL/min throughout the experiment. (C) Top: The memory scores at the second odor preference test, measured as preference indexes: [(number of flies in the paired odor quadrants)-(number of flies in the unpaired odor quadrants)]/total number of flies during the last 30 s of the 60 s test period. The red asterisks * and ** indicate p<0.05 or p<0.01, respectively: Dunn’s multiple comparison tests compared to empty-split-GAL4 control, following Kruskal-Wallis test. The black * indicates p<0.05 without correction for multiple comparison. N=34 for the empty-split-GAL4 line and N=4–16 for other lines. All the lines were initially tested for four reciprocal experiments; lines with mean preference index above 0.1 or below –0.1 were subjected to additional tests. Cell types, the mushroom body (MB) compartments in which their dendrites lie, their neurotransmitters, the number of synaptic connections they make with dopaminergic (DANs) and octopaminergic (OANs) neurons, and the split-GAL4 driver lines used for the behavioral assays are designated. A summary of connections from all mushroom body output neuron (MBON) subtypes to DANs thought to signal reward or punishment and to OANs is shown in Figure 2—figure supplement 1A. Bottom: Z-scores [(values-mean)/standard deviation] for each parameter: speed, walking speed; angular, absolute of angular change relative to the previous frame at 30 FPS; cos(upwind), cosine of the fly’s orientation toward the upwind direction (i.e. facing away from the center of the arena). ON periods correspond to the first 2 s of the 10 s LED ON periods, whereas OFF periods are the 2 s immediately after the LEDs were turned off. Delta_DistanceFromCenter is change in fly’s mean distance from the center of the arena relative to its position at the onset of LED illumination. Return is a measure of the probability that flies return to the position that they occupied at the end of the LED stimulus. Flies are judged to have returned if they move 10 mm or more from their original position and then return to within 3 mm of the original position within 15 s.

Figure 2—source data 1. The values used for Figure 2.

Figure 2.

Figure 2—figure supplement 1. Direct connections from mushroom body output neurons (MBONs) to dopaminergic neurons (DANs) and octopaminergic neurons (OANs).

Figure 2—figure supplement 1.

(A) Total number of synaptic connections from each MBON type to DANs and OANs. Based on the valence of memory when activation of DANs is used as unconditioned stimulus in olfactory conditioning (Aso et al., 2012; Aso et al., 2010; Aso and Rubin, 2016; Claridge-Chang et al., 2009; Huetteroth et al., 2015; Ichinose et al., 2015; Lin et al., 2014; Liu et al., 2012; Yamada et al., 2023; Yamagata et al., 2016,Yamagata et al., 2015), we considered PAM01, 02, 04, 05, 06, 07, 08, 09, 10, 11, and 15 as Reward DANs and PAM12, 13, 14, PPL101, 103, and 106 as Punishment DANs. OANs refer to the four types of octopaminergic neurons that innervate the MB: OA-VPM3, OA-VPM4, OA-VUMa2, and OA-VUMa7. (B) Number of connections from MBONs in γ4 and γ5 to DANs in the γ lobe. PPL103, a DAN in the γ2 compartment, has less than five connections with these MBONs and was not included in this table.
Figure 2—figure supplement 2. Activation phenotypes are not compromised by prior optogenetic olfactory conditioning.

Figure 2—figure supplement 2.

Time course of five kinematic parameters shown in Figure 2 for the positive control lines (MB011B and SS49755), negative control (Empty-split-GAL4), and two lines for MBON33 (SS75200 and SS77383) are shown. Lines and dashed lines represent mean of six trial averages for experiments with or without prior optogenetic conditioning sessions as shown in Figure 2B. Lines and shadings are means and SEMs.
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Training flies by paring odor presentation with activation of MBON21, using either of the two lines tested (SS81853 and SS81521), resulted in robust aversive memory (Figure 2C) as previously observed with another driver for this cell type that displayed weaker expression (see SS46348 in Figure 1—figure supplement 2; Otto et al., 2020). Both driver lines for the atypical MBON29 similarly induced aversive memory. These MBONs are both cholinergic, have dendrites in the γ4 and γ5 compartments, and synapse onto the dendrites of DANs that respond to punitive stimuli such as PAM-γ3 and PPL1-γ1pedc (Figure 2C, Figure 2—figure supplement 1; Li et al., 2020; Otto et al., 2020). In contrast, training flies with activation of MBON33 induced appetitive memory. MBON33 is also cholinergic but preferentially connects with octopaminergic neurons and reward-representing DANs. We noticed that confocal microscopy images of MBON33 visualized by split-GAL4 contain additional branches around the esophagus (Figure 1H), an area which was outside of EM hemibrain volume. Since octopaminergic neurons arborize in this area, the connection between MBON33 and octopaminergic neurons might be more extensive than the previously described using the hemibrain data (Busch et al., 2009; Li et al., 2020).

To explore kinematic parameters controlled by MBONs, we tracked the trajectories of individual flies during and after a 10 s optogenetic stimulus (Figure 2C). Although we used the same flies that went through the optogenetic olfactory conditioning, the activation phenotypes of positive control lines could be observed and was not compromised by their prior activation (Figure 2—figure supplement 2). In these assays we observed some variability between lines for the same cell type, presumably due to difference in expression level or off-targeted expression. Nevertheless, the two lines for MBON21 showed similar patterns of kinematic variables: a low walking speed in the presence of the red activation light, a stimulus that caused elevated locomotion in genetic control flies, and then orientation toward upwind when the optogenetic stimulus concluded (Figures 2C and 3A–D). Similar phenotypes were observed with a driver for a combination of the three glutamatergic MBON01, MBON03, and MBON04 (MB011B; Figure 2C). Despite their common anatomical features and memory phenotypes, MBON21 and MBON29 modulated distinct motor parameters. Neither of the two lines for MBON29 changed walking speed or orientation toward upwind when activated, but they both increased angular motion at the onset of activation, similar to the three lines for MBON26 (Figure 3E–G).

Figure 3. Additional behavioral consequences of optogenetic activation.

Figure 3.

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(A) Time course of mean cos(upwind angle) for flies that express CsChrimson in MBON21 with designated drivers. The trace of empty-split-GAL4 is also shown. All the trajectories from six trials of movies were pooled to calculate a mean for each group of flies. Lines and shadings are means and SEMs. (B) Mean cos(upwind angle) during 2 s periods immediately after LED was turned off. (C–D) Time course and mean walking speed during 10 s LED ON period. (E–F) The mean cumulative turning angles in five movie frames of (total elapsed time 150 ms) for flies expressing CsChrimson in MBON29 and MBON26. (G) The cumulative turning angle during the first 2 s of LED ON period. (A–G) show data from the experiments described in Figure 2. (H) Preference for quadrants with red light. Flies expressing CsChrimson in MBON21, MBON29, or MBON33 were tested with 30 s continuous light of 627 nm LED in two quadrants. The test was performed a second time with illumination in opposite quadrants after a 150 s recovery period. (I) Mean preference index to the quadrants with red light during the last 5 s of two 30 s test periods. Dunn’s multiple comparison tests compared to empty-split-GAL4 control, following Kruskal-Wallis test. *, **, and *** indicate p<0.05, p<0.01, or p<0.001, respectively: N=66 for Empty-split-GAL4 and 8–22 for other lines in (A–G). N=16–26 in (H–I).

Figure 3—source data 1. The values used for Figure 3.

Finally, we asked if the MBON21, MBON29, and MBON33 lines that were able to serve as the unconditioned stimulus in memory formation also drove corresponding avoidance or attraction. Previous studies and the results shown in Figure 2C indicated that these are not always shared phenotypes; for example, the set of glutamatergic MBONs in MB011B whose dendrites lie in the γ5 and β′2 compartments can drive downwind locomotion and avoidance behaviors (Aso et al., 2023; Aso et al., 2014b; Matheson et al., 2022) but do not induce aversive memory. We tested if flies expressing CsChrimson in each of these three MBON cell types prefer quadrants of the arena with red activating light during the first and second 30 s test periods (Figure 3H1). When CsChrimson is expressed in MBON21 or MBON29, flies avoid illuminated quadrants of the arena. Conversely, CsChrismon activation in a line for MBON33 promoted attraction to the illuminated quadrants, although this effect was observed only at the first test period. Thus, in the case of these three MBON cell types, memory formation and avoidance/attraction behaviors are correlated.

Concluding remarks

We generated and anatomically characterized an improved set of genetic driver lines for MBONs and provide the first driver lines for atypical MBONs. We expect these lines to be useful in a wide range of studies of fly behavior. We demonstrate the suitability of these lines for behavioral analyses by showing that multiple independent lines for the same cell type gave consistent results when assayed for their ability to serve as the unconditioned stimulus in memory formation and to produce appetitive or aversive movements. MBON21, MBON29, and MBON33, characterized in this study, have distinct features compared to well-studied MBONs that innervate the same compartments. MBON21 and MBON29 form cholinergic connections to the dendrites of DANs known to respond to punishment, whereas other MBONs from the same compartments form glutamatergic connections with reward-representing DANs (Figure 4A).

Figure 4. Diagrammatic summary of key outputs from selected mushroom body output neurons (MBONs).

Figure 4.

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(A) MBON21 and MBON29 arborize dendrites in the g4 and g5 compartments that are innervated by reward representing dopaminergic neurons (DANs). MBON21 and MBON29 are cholinergic and preferentially connect with DANs that innervate other compartments to represent punishment, whereas other glutamatergic MBONs from these same compartments preferentially form connections with reward-representing DANs going back to the same compartments. In fly brains, acetylcholine (ACh) is largely excitatory via nicotinic ACh receptors, although the type A muscarinic ACh receptor can mediate an inhibitory effect (Bielopolski et al., 2019; Manoim et al., 2022). Glutamate (Glu) can be inhibitory or excitatory depending on the receptors in the postsynaptic cells. Glutamate is known to be inhibitory via the glutamate-gated chloride channel (GluClα) in the olfactory system (Liu and Wilson, 2013). All of the 10 types of DANs examined with RNA-seq express GluClα and Nmdar2 at high levels whereas expression of Nmdar1 and other glutamate receptors were limited and cell type specific (Aso et al., 2019). Results in some studies support an excitatory effect of at least a subset of glutamatergic MBONs on DANs (Cohn et al., 2015; Ichinose et al., 2015; Otto et al., 2020; Zhao et al., 2018a), while electrophysiological recordings identified inhibitory connection between glutamatergic MBON and the downstream interneurons (Aso et al., 2023). (B) Diagram showing direct connections between the mushroom body (MB) and central complex (CX) mediated by MBON21, MBON30, MBON09, and MBON04; these MBONs rank first, second, fifth, and seventh, respectively, based on the number of direct synaptic connections to the CX; numbers reflect connections between right hemisphere MBONs and right hemisphere FB tangential cells. For circles representing MBONs, the circle diameter represents the fraction of that MBONs direct output that goes to the CX. For the downstream neurons in the CX, circle diameter represents the fraction of that cell types direct input that comes from MBONs. Arrow width reflects synapse number. See Figure 19 of Li et al., 2020 and Figure 46 of Hulse et al., 2021 for additional information on the complete set of MB to CX connections.

While most of sensory input to the MB is olfactory, the connectome revealed that two specific classes of KCs receive predominantly visual input. MBON19 provides the major output from one of these classes, KC α/βp, and about half of MBON19’s sensory input is estimated to be visual. MBON33 provides a major output from the other class of visual KCs, KC γd, with more than half of the sensory input to its dendrites in the MB estimated to be visual. The cell-type-specific driver lines we provide for MBON19 and MBON33 should facilitate studies of the behavioral roles of the two streams of visual information that pass through the MB.

The MB and the CX are thought to play key roles in the most cognitive processes that the fly can perform including learning, memory, and spatial navigation. Two of the MBONs for which we generated cell-type-specific driver lines, MBON21 and MBON30, provide the strongest direct inputs to the CX from the MB (Figure 4B), while MBON30 receives over 3% of its input (450 synapses) from the CX cell type FR1 (aka FB2-5RUB). The genetic reagents we report here should advance studies of reinforcement signals in parallel memory systems, the role of visual inputs to the MB, and information flow from the MB to the CX.

Materials and methods

Flies

Split-GAL4 lines were created as previously described (Dionne et al., 2018). Flies were reared on standard cornmeal molasses food at 21–22°C and 50% humidity. For optogenetic activation experiments, flies were reared in the dark on standard food supplemented with retinal (Sigma-Aldrich, St. Louis, MO, USA) unless otherwise specified, 0.2 mM all trans-retinal prior to eclosion and 0.4 mM all trans-retinal post eclosion. Female flies were sorted on cold plates and kept in retinal food vials for at least 1 day prior to be transferred to agar vials for 48–72 hr of starvation. Flies were 4–10 days of age at the time of behavioral experiments. Images of the original confocal stacks for each of the lines are available at https://splitgal4.janelia.org.

The correspondence between the morphologies of EM skeletons and light microscopic images of GAL4 driver line expression patterns was used to assign GAL4 lines to particular cell types. This can be done with confidence when there are not multiple cell types with very similar morphology. However, in the case of MBON28 we were not able to make a definitive assignment because of the similarity in the morphologies of MBON16, MBON17, and MBON28.

Immunohistochemistry and imaging

Dissection and immunohistochemistry of fly brains were carried out as previously described (Aso et al., 2014a). Each split-GAL4 line was crossed to the same Chrimson effector used for behavioral analysis. Full step-by-step protocols can be found at https://www.janelia.org/project-team/flylight/protocols. For single-cell labeling of neurons from selected split-Gal4 lines, we used the MultiColor FlpOut (MCFO) technique (Nern et al., 2015). Video 1 and Video 2 were produced using VVD Viewer (https://github.com/JaneliaSciComp/VVDViewer; copy archived at JaneliaSciComp, 2024) to generate a video comparing light and EM data (hemibrain v1.2) for each cell type. Individual videos were then concatenated, and text added using Adobe Premiere Pro.

Optogenetics and olfactory learning assays

Groups of approximately 20 female flies were trained and tested at 25°C at 50% relative humidity in the fully automated olfactory arena for optogenetics experiments as previously described (Aso and Rubin, 2016; Pettersson, 1970; Vet et al., 1983). The 627 nm peak LED light was used at 22.7 µW/mm2. The odors were diluted in paraffin oil (Sigma-Aldrich): pentyl acetate (1:10,000) and ethyl lactate (1:10,000). Videography was performed at 30 frames per second with 850 nm LED backlight with 820 nm longpass filter and analyzed using the Flytracker (Wilson et al., 2013) and Fiji (Schindelin et al., 2012).

Statistics

Statistical comparisons were performed using the Kruskal-Wallis test followed by Dunn’s post-test for multiple comparison (Prism; GraphPad Inc, La Jolla, CA, USA). Appropriate sample size for olfactory learning experiment was estimated based on the standard deviation of performance index in previous study using the same assay (Aso and Rubin, 2016).

Connectomics

Information on connection strengths are taken from neuprint.janelia.org (hemibrain v1.2.1).

Data availability

The confocal images of expression patterns are available online (http://www.janelia.org/split-gal4). The source data for figures are included in the manuscript.

Acknowledgements

We thank the Janelia Fly Facility for help with fly husbandry and the FlyLight Project Team for dissection, histological preparation, and imaging of nervous systems. Marisa Dreher (Dreher Design Studios, Inc) assembled the videos and helped with figure design. Claire Managan segmented the neuron morphologies shown in the videos. Masayoshi Ito helped identify lines to use in intersections. Daisuke Hattori, Glenn Turner, Vivek Jayaraman, Toshihide Hige, and Yichun Shuai provided comments and suggestions on the early version of the manuscript.

Appendix 1

Appendix 1—key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Strain, strain background (Drosophila melanogaster) Split-GAL4 lines This paper, Aso et al., 2014a; PMID: 25535793 https://splitgal4.janelia.org/cgi-bin/splitgal4.cgi Available from Aso lab and Rubin lab
Strain, strain background (Drosophila melanogaster) 20xUAS-CsChrimson- mVenus attP18 Klapoetke et al., 2014; PMID: 24509633 N.A.
Strain, strain background (Drosophila melanogaster) pJFRC200-10xUAS- IVS-myr::smGFP-HA in attP18 Nern et al., 2015; PMID: 25964354 N.A.
Strain, strain background (Drosophila melanogaster) pJFRC225-5xUAS- IVS-myr::smGFP-FLAG in VK00005 Nern et al., 2015; PMID: 25964354 N.A.
Strain, strain background (Drosophila melanogaster) pBPhsFlp2::PEST in attP3 Nern et al., 2015; PMID: 25964354 N.A.
Strain, strain background (Drosophila melanogaster) pJFRC201-10XUAS-FRT>STOP > FRT-myr::smGFP-HA in VK0005 Nern et al., 2015; PMID: 25964354 N.A.
Strain, strain background (Drosophila melanogaster) pJFRC240-10XUAS-FRT>STOP > FRT-myr::smGFP-V5-THS-10XUAS-FRT>STOP > FRT-myr::smGFP-FLAG_in_su(Hw)attP1 Nern et al., 2015; PMID: 25964354 N.A.
Strain, strain background (Drosophila melanogaster) empty-split-GAL4 (p65ADZp attP40, ZpGAL4DBD attP2) Hampel et al., 2015; PMID: 26344548 RRID:BDSC_79603
Antibody Anti-GFP (rabbit polyclonal) Invitrogen A11122 RRID:AB_221569 1:1000
Antibody Anti-Brp (mouse monoclonal) Developmental Studies Hybridoma Bank nc82 RRID:AB_2341866 1:30
Antibody Anti-HA-Tag (mouse monoclonal) Cell Signaling Technology C29F4; #3724 RRID:AB_10693385 1:300
Antibody Anti-FLAG (rat monoclonal) Novus Biologicals NBP1-06712 RRID:AB_1625981 1:200
Antibody Anti-V5-TAG Dylight-549 (mouse monoclonal) Bio-Rad MCA2894D549GA RRID:AB_10845946 1:500
Antibody Anti-mouse IgG(H&L) AlexaFluor-568 (goat polyclonal) Invitrogen A11031 RRID:AB_144696 1:400
Antibody Anti-rabbit IgG(H&L) AlexaFluor-488 (goat polyclonal) Invitrogen A11034 RRID:AB_2576217 1:800
Antibody Anti-mouse IgG(H&L) AlexaFluor-488 conjugated (donkey polyclonal) Jackson Immuno Research Labs 715-545-151 RRID:AB_2341099 1:400
Antibody Anti-rabbit IgG(H&L) AlexaFluor-594 (donkey polyclonal) Jackson Immuno Research Labs 711-585-152 RRID:AB_2340621 1:500
Antibody Anti-rat IgG(H&L) AlexaFluor-647 (donkey polyclonal) Jackson Immuno Research Labs 712-605-153 RRID:AB_2340694 1:300
Antibody Anti-rabbit IgG(H+L) Alexa Fluor 568 (goat polyclonal) Invitrogen A-11036 RRID:AB_10563566 1:1000
Chemical compound, drug Pentyl acetate Sigma-Aldrich 109584 1:10,000 in paraffin oil
Chemical compound, drug Ethyl lactate Sigma-Aldrich W244015 1:10,000 in paraffin oil
Chemical compound, drug Paraffin oil Sigma-Aldrich 18512
Software, algorithm ImageJ and Fiji NIH; Schindelin et al., 2012 https://imagej.nih.gov/ij/ http://fiji.sc/
Software, algorithm MATLAB MathWorks https://www.mathworks.com/
Software, algorithm Adobe Illustrator CC Adobe Systems https://www.adobe.com/products/illustrator.html
Software, algorithm GraphPad Prism 9 GraphPad Software https://www.graphpad.com/scientific-software/prism/
Software, algorithm Caltech FlyTracker Eyjolfsdottir et al., 2014 https://github.com/kristinbranson/FlyTracker
Software, algorithm neuPrint Plaza et al., 2022 https://neuprint.janelia.org/
Software, algorithm Cytoscape Shannon et al., 2003 https://cytoscape.org/
Software, algorithm Janelia workstation HHMI Janelia https://doi.org/10.25378/janelia.8182256.v1
Software, algorithm NeuTu Zhao et al., 2018b; Zhao et al., 2018c https://github.com/janelia-flyem/NeuTu
Software, algorithm VVD Viewer Wan et al., 2012; Kawase et al., 2012 https://github.com/takashi310/VVD_Viewer
Other Grade 3 MM Chr Blotting Paper Whatmann 3030-335 Used in glass vials with paraffin oil diluted odors
Other Mass flow controller Alicat MCW-200SCCM-D Mass flow controller used for the olfactory arena
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Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Gerald M Rubin, Email: rubing@janelia.hhmi.org.

Yoshinori Aso, Email: asoy@janelia.hhmi.org.

Mani Ramaswami, Trinity College Dublin, Ireland.

Albert Cardona, University of Cambridge, United Kingdom.

Funding Information

This paper was supported by the following grant:

  • Howard Hughes Medical Institute to Gerald M Rubin, Yoshinori Aso.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Writing - original draft, Project administration, Writing - review and editing.

Conceptualization, Formal analysis, Investigation, Visualization, Writing - original draft, Writing - review and editing.

Additional files

MDAR checklist

Data availability

The confocal images of expression patterns are available online (http://www.janelia.org/split-gal4). Figure 2 - Source data 1 and Figure 3-source data 1 contains the numerical data used to generate figures.

References

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eLife assessment

Mani Ramaswami 1

This work advances on two Aso et al 2014 eLife papers to describe further resources that are valuable for the field. This paper identified and contributes additional MBON split-Gal4s, convincingly describing their anatomy, connectivity and function.

Reviewer #1 (Public Review):

Anonymous

In this manuscript Rubin and Aso provide important new tools for the study of learning and memory in Drosophila. In flies, olfactory learning and memory occurs at the Mushroom Body (MB) and is communicated to the rest of the brain through Mushroom Body Output Neurons (MBONs). Previously, typical MBONs were thoroughly studied. Here, atypical MBONs that have dendritic input both within the MB lobes and in adjacent brain regions are studied. The authors describe new cell-type-specific GAL4 drivers for the majority of atypical MBONs (and other MBONs) and using an optogenetic activation screen they examined their ability to drive behaviors and learning.

The experiments in this manuscript were carefully performed and the results are clear. The tools provided in this manuscript are of great importance to the field.

Reviewer #2 (Public Review):

Anonymous

In this study, Aso and Rubin generated new split-GAL4 lines to label Drosophila mushroom body output neurons (MBONs) that previously lacked specific GAL4 drivers. The MBONs represent the output channels for the mushroom body (MB), a computational center in the fly brain. Prior research identified 21 types of typical MBONs whose dendrites exclusively innervate the MB and 14 types of atypical MBONs whose dendrites also innervate brain regions outside the MB. These MBONs transmit information from the MB to other brain areas and form recurrent connections to dopaminergic neurons whose axonal terminals innervate the MB. Investigating the functions of the MBONs is crucial to understanding how the MB processes information and regulates behavior. The authors previously established a collection of split-GAL4 lines for most of the typical MBONs and one atypical MBON. That split-GAL4 collection has been an invaluable tool for researchers studying the MB. This work extends their previous effort by generating additional driver lines labeling the MBON types not covered by the previous split-GAL4 collection. Using these new driver lines, the authors also activated the labeled MBONs using optogenetics and assessed their role in learning, locomotion, and valence coding. The expression patterns of the new split-GAL4 lines and the behavioral analysis presented in this manuscript are convincing. I believe that these new lines will be a valuable resource for the fly community.

eLife. 2024 Jan 25;12:RP90523. doi: 10.7554/eLife.90523.3.sa3

Author Response

Gerald M Rubin 1, Yoshinori Aso 2

The following is the authors’ response to the original reviews.

Thank you for submitting your article "New genetic tools for mushroom body output neurons in Drosophila" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, and the assessment has been overseen by a Reviewing Editor and Albert Cardona as the Senior Editor.

eLife assessment:

This work advances on two Aso et al 2014 eLife papers to describe further resources valuable for the field. This paper adds more MBON split-Gal4s convincingly describing their anatomy, connectivity and function.

Public Reviews:

Reviewer #1 (Public Review):

In this manuscript Rubin and Aso provide important new tools for the study of learning and memory in Drosophila. In flies, olfactory learning and memory occurs at the Mushroom Body (MB) and is communicated to the rest of the brain through Mushroom Body Output Neurons (MBONs). Previously, typical MBONs were thoroughly studied. Here, atypical MBONs that have dendritic input both within the MB lobes and in adjacent brain regions are studied. The authors describe new cell-type-specific GAL4 drivers for the majority of atypical MBONs (and other MBONs) and using an optogenetic activation screen they examined their ability to drive behaviors and learning.

The experiments in this manuscript were carefully performed and the results are clear. The tools provided in this manuscript are of great importance to the field.

Reviewer #2 (Public Review):

In this study, Aso and Rubin generated new split-GAL4 lines to label Drosophila mushroom body output neurons (MBONs) that previously lacked specific GAL4 drivers. The MBONs represent the output channels for the mushroom body (MB), a computational center in the fly brain. Prior research identified 21 types of typical MBONs whose dendrites exclusively innervate the MB and 14 types of atypical MBONs whose dendrites also innervate brain regions outside the MB. These MBONs transmit information from the MB to other brain areas and form recurrent connections to dopaminergic neurons whose axonal terminals innervate the MB. Investigating the functions of the MBONs is crucial to understanding how the MB processes information and regulates behavior. The authors previously established a collection of split-GAL4 lines for most of the typical MBONs and one atypical MBON. That split-GAL4 collection has been an invaluable tool for researchers studying the MB. This work extends their previous effort by generating additional driver lines labeling the MBON types not covered by the previous split-GAL4 collection. Using these new driver lines, the authors also activated the labeled MBONs using optogenetics and assessed their role in learning, locomotion, and valence coding. The expression patterns of the new split-GAL4 lines and the behavioral analysis presented in this manuscript are generally convincing. I believe that these new lines will be a valuable resource for the fly community.

Recommendations for the authors:

Minor additional suggestions:

1. Please ensure that the FlyLight links are provided for the new splitGal4s in the methods as well as results.

We added the requested link to the methods.

2. Correct a typo in 'ethyl lactate in the learning assays section of methods

corrected

Reviewer #1 (Recommendations For The Authors):

In the behavior assay, the authors use the same flies that were used for optogenetic olfactory conditioning and memory tests, to also examine the effects of activation in the absence of odors but with airflow. I think this may affect the interpretation of the results. If possible, it would be nice to show in the MBON types where a conditioning effect was found (i.e. MBON21, 29, 33) that performing the activation in the absence of odors but with airflow without previous conditioning yields the same results.

We share the reviewers concern that behavioral phenotypes during the later 10s LED sessions may be compromised by early optogenetic olfactory conditioning. Therefore, prior to running the experiment shown in Figure 2, we confirmed that the activation phenotypes of three positive control lines (MB011B and SS40755) could be observed after olfactory conditioning sessions. We added this data as Figure 2-figure supplement 2. For SS75200 and SS77383, a split-GAL4 driver for MBON33, we observed a loss of activation phenotype in the second trial of LED ON/OFF binary choice assay (Figure 3H). Therefore, we reran the 10s LED activation experiments without a previous optogenetic olfactory conditioning assay; these data are now also included in Figure 2-figure supplement 2.

Reviewer #2 (Recommendations For The Authors):

Below, I list some comments and suggestions which I hope could help the authors further improve their manuscript.

1. The authors identified 2 candidate lines for MBON28. It would be helpful if they could clarify how they determined whether a split-GAL4 correctly labels an MBON or is just a candidate line.

We have added in the methods section an explanation of the criteria used.

“The correspondence between the morphologies of EM skeletons and light microscopic images of GAL4 driver line expression patterns was used to assign GAL4 lines to particular cell types. This can be done with confidence when there are not multiple cell types with very similar morphology. However, in the case MBON28 we were not able to make a definitive assignment because of the similarity in the morphologies of MBON16, MBON17 and MBON28.”

2. The authors have previously shown that the expression pattern of a GAL4 driver is strongly influenced by the reporter used. The expression patterns of the split-GAL4 lines in this study are based on 20XUAS-Chrimson-mVenus trafficked (attp18), the expression strength of which may differ from other reporters or effectors. I suggest that the authors discuss this potential caveat in their manuscript. This will allow readers to be more cautious and check the expression patterns with their own reporters/effectors when using these new split-GAL4 lines.

We added the sentences below to address this concern.

“The expression patterns shown in this paper were obtained using an antibody against GFP which visualizes expression from 20xUAS-CsChrimson-mVenus in attP18. Directly visualizing the optogenetic effector is important since expression intensity, the number of labeled MBONs and off-targeted expression can differ when other UAS-reporter/effectors are used (for an example, see Figure 2—figure supplement 1 of Aso et al., 2014a).”

3. For the kinematic parameters in Fig. 2C, it is important to also show the baseline value of the parameters (i.e., the value before the light stimulation). For example, if a group of flies moves slower during the baseline period, their slower speed during the light-on period may not be due to MBON activation.

Figure 2 has been revised to include the z-scores for the 2s period just before turning on LED. The source data includes the parameter values used to calculate z-scores.

4. For Methods and Materials, the authors mostly refer to previous papers or websites for details. However, it would be helpful if they could include in this manuscript key information essential for repeating their experiments, such as the reporter/effector transgenes, empty-split controls, and antibodies and their working concentrations. It would also be helpful if they could provide the manufacturers and catalog numbers for the reagents used in this study.

We have added Appendix 1- Key Resource Table to list all the key reagents.

5. The original studies that identified the reward or punishment dopaminergic neurons mentioned in this manuscript should be cited.

We have added the following citations:

“Total number of synaptic connections from each MBON type to DANs and OANs. Based on the valence of memory when activation of DANs is used as unconditioned stimulus in olfactory conditioning (Aso et al., 2012, 2010; Aso and Rubin, 2016; Claridge-Chang et al., 2009; Huetteroth et al., 2015; Ichinose et al., 2015; Lin et al., 2014; Liu et al., 2012; Yamada et al., 2023; Yamagata et al., 2016, 2015)”

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 2—source data 1. The values used for Figure 2.
    elife-90523-fig2-data1.xlsx (12.7KB, xlsx)
    Figure 3—source data 1. The values used for Figure 3.
    elife-90523-fig3-data1.xlsx (2.9MB, xlsx)
    MDAR checklist
    elife-90523-mdarchecklist1.docx (100.6KB, docx)

    Data Availability Statement

    The confocal images of expression patterns are available online (http://www.janelia.org/split-gal4). The source data for figures are included in the manuscript.

    The confocal images of expression patterns are available online (http://www.janelia.org/split-gal4). Figure 2 - Source data 1 and Figure 3-source data 1 contains the numerical data used to generate figures.

    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

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