Abstract
Insect mushroom bodies are required for diverse behavioral functions, including odor learning and memory. Using the numerically simple olfactory pathway of the Drosophila melanogaster larva, we provide evidence that the formation of appetitive olfactory associations relies on embryonic-born intrinsic mushroom body neurons (Kenyon cells). The participation of larval-born Kenyon cells, i.e., neurons that become gradually integrated in the developing mushroom body during larval life, in this task is unlikely. These data provide important insights into how a small set of identified Kenyon cells can store and integrate olfactory information in a developing brain. To investigate possible functional subdivisions of the larval mushroom body, we anatomically disentangle its input and output neurons at the single-cell level. Based on this approach, we define 10 subdomains of the larval mushroom body that may be implicated in mediating specific interactions between the olfactory pathway, modulatory neurons, and neuronal output.
Introduction
Like most animals, Drosophila is able to associate a particular odor with a rewarding or punishing stimulus (McGuire et al., 2005; Keene and Waddell, 2007). In adult insects, the mushroom bodies (MBs) have been implicated in the formation and recall of olfactory memory (Heisenberg, 2003; Menzel et al., 2006); this may even apply to Drosophila larvae (Gerber et al., 2004, 2009). Anatomically and functionally, the larval brain shares many of the organizational features known from the mammalian brain, yet comprises only ∼2000 functional neurons (Iyengar et al., 2006; Vosshall and Stocker, 2007). Consequently, we used the Drosophila larva as a model for investigating olfactory learning at the cellular level.
Odor information is signaled in the larva by a set of 21 functionally distinct olfactory receptor neurons (Fishilevich et al., 2005) and ∼25 unique second-order projection neurons (PNs) to higher olfactory centers, i.e., the lateral horn and the MB calyx (Ramaekers et al., 2005; Masuda-Nakagawa et al., 2009). In the calyx, PNs synapse onto Kenyon cells (KCs), which are the most prominent intrinsic neurons of the MBs (MBINs) despite another type of MBINs that are non-KCs but also exclusively innervate the MBs. Interestingly, how other sensory modalities are signaled onto the MBs and how output neurons collect the information from the MBs is hardly understood. Recent findings suggest that dopaminergic and octopaminergic neurons signal aversive and/or appetitive reinforcement onto the MBs (Schwaerzel et al., 2003; Schroll et al., 2006; Claridge-Chang et al., 2009; Honjo and Furukubo-Tokunaga, 2009; Mao and Davis, 2009; Selcho et al., 2009). Anatomically Tanaka et al. (2008) identified at least 24 different types of MB extrinsic neurons (MBENs) in adult flies.
In MB development, constant proliferation of four MB neuroblasts (Nbs) gives rise to ∼250–300 KCs of embryonic origin and to a further 2000 KCs of larval origin (Technau and Heisenberg, 1982; Ito and Hotta, 1992), forming together the three main compartments of the MBs: calyx, pedunculus, and lobes (Armstrong et al., 1998; Lee et al., 1999; Kurusu et al., 2002; Strausfeld et al., 2003). Newly born KCs send their axons into the core region of the pedunculus and push earlier born fibers to the surface, creating a characteristic layering of the pedunculus (Kurusu et al., 2002).
Interestingly, the four MB Nbs, and an additional lateral Nb, are the only Nbs that continue to proliferate during larval life. The MB Nbs are also the last ones to divide during larval–adult transition (Technau and Heisenberg, 1982; Truman and Bate, 1988; Ito and Hotta, 1992). Thus, selective neurogenesis in the MBs is reminiscent of adult neurogenesis in the mammalian hippocampus (Cayre et al., 2007), a brain region implicated in memory formation.
Here we dissect the neuronal organization of the larval MBs with respect to intrinsic and extrinsic neurons, and we analyze the role of MB Kenyon cells in appetitive olfactory learning. We show that larval MBs are organized as distinct subdomains that are selectively innervated by different types of MBENs. Furthermore we provide evidence that the formation of appetitive olfactory associations in larvae relies on a small subset of embryonic-born KCs. Hence, MB proliferation during larval life is not required for this task.
Materials and Methods
Fly strains.
Flies were cultured according to standard methods. See the Supplemental Data (available at www.jneurosci.org as supplemental material) or Selcho et al. (2009) for fly stock source. For the behavioral experiments, UAS-shits1 was crossed to the MB-specific GAL4-driver lines. Heterozygous controls were obtained by crossing GAL4-driver and UAS-effector to w1118. For visualizing neurons, we used the UAS-mCD8::GFP reporter. The driver lines 201y and NP1131 were crossed with MBGAL80; UAS-shits1 females (Krashes et al., 2007) and MBGAL80; UAS-mCD8::GFP. For cell counts, we used a triple insertion of UAS-mCD8::GFP (Aso et al., 2009). Presynaptic and postsynaptic regions were labeled using UAS-nsyb::GFP and UAS-Dscam[17.1]::GFP, respectively (Ito et al., 1998; Wang et al., 2004). Expression patterns of the six MB-specific GAL4 driver lines were compared by crossing them with MB247-DsRed; UAS-mCD8::GFP virgins (Riemensperger et al., 2005). For creating single-cell flp-out clones, y w hsp70-flp; Sp/CyO; UAS>CD2y+>mCD8::GFP/TM6b virgins (Wong et al., 2002) were crossed to males of a given GAL4 driver as published before (Selcho et al., 2009).
Screening of GAL4 lines for larval mushroom body expression.
We screened 30 GAL4 drivers for expression in larval MB KCs (O'Dell et al., 1995; Yang et al., 1995; Connolly et al., 1996; Koushika et al., 1996; Amrein and Axel, 1997; Tettamanti et al., 1997; Kraft et al., 1998; Moreau-Fauvarque et al., 1998; McBride et al., 1999; Hayashi et al., 2002; Manoli et al., 2005; Keleman et al., 2007; Krashes et al., 2007; Tanaka et al., 2008). In addition, we screened another 64 GAL4 drivers (Tanaka et al., 2008) for expression in non-KC MBINs or in MBENs. A complete list of GAL4 driver lines and procedural details are given in the Supplemental Data (available at www.jneurosci.org as supplemental material). In general the driver lines were chosen based on their specific expression patterns during adult stage.
Behavioral experiments.
Appetitive olfactory learning and naive preferences to the odors and tastants applied was tested using a standardized assay described before (Scherer et al., 2003; Hendel et al., 2005; Michels et al., 2005; Gerber and Hendel, 2006; Gerber and Stocker, 2007; Gerber et al., 2009; Selcho et al., 2009).
Statistical methods.
For the comparison between genotypes, Wilcoxon rank sum test was used. To compare single genotypes against chance level, we used the Wilcoxon signed ranked test. All statistical analyses and visualizations were done with R version 2.8.0. Figure alignments were done with Adobe Photoshop. Data were presented as box plots, 50% of the values of a given genotype being located within the box, whiskers represent the entire set of data. Outsiders are indicated as open circles. The median performance index was indicated as a bold line within the box plot. Significance levels between genotypes shown in the figures refer to the p values obtained in the statistical tests.
Hydroxyurea treatment.
Hydroxyurea (HU) treatment was performed according to de Belle and Heisenberg, 1994. Control larvae were treated equally but exposed to yeast paste lacking HU.
Immunofluorescence.
Similar to the procedural details described by Selcho et al. (2009), rabbit polyclonal serum against green fluorescent protein (anti-GFP; Invitrogen, 1:200) was used for analyzing GFP patterns and two different mouse antibodies for staining the neuropil (ChAT4B1; DSHB, 1:150) and the axonal tracts (1d4 anti-Fasciclin II; DSHB, 1:50) for first, second, and third instar larvae donated by P. M. Salvaterra and C. Goodman. Images were taken with a LeicaTCS SP5 confocal microscope with ×20 or ×63 glycerol objectives. The resulting image stacks were projected and analyzed with ImageJ software (NIH). Contrast and brightness adjustment as well as rotation and organization of images were performed in Photoshop (Adobe Systems).
Anatomical data processing.
For cell counting, inverted grayscale stacks of the green channel were manually counted using a customized macro for ImageJ (NIH) called “cellcounter.” Based on the coordinate information, the centers of the nuclei of the labeled cells were marked in the present slice and in one or two previous or following slices by different colors, respectively. Typically, one nucleus spanning different confocal sections was automatically marked twice or three times in the close vicinity. By manually checking duplicated markers in neighboring slices, we subtracted these redundant counts. We counted at least 10 calyces for each of the six MB-specific GAL4 lines crossed to 3x UAS-mCD8::GFP. Final numbers were further processed by Microsoft Excel.
For 3D reconstruction of MBs, labels were manually created around individual subregions of a third instar MB in a H24; UAS-mCD8::GFP stack using the ImageJ plugin “segmentation editor.” Then, texture-based volume rendering was applied using the ImageJ plugin “3D Viewer.” Reconstructions of MBINs and MBENs were performed by texture-based volume rendering of single stacks of the green channel using the ImageJ plugin “3D Viewer.” MB reconstructions in these cases were first preprocessed by manually creating a label around MB lobes, pedunculus, and calyx. Subsequently, texture-based volume rendering was applied on these labels using ImageJ plugin “3D Viewer,” which was also used to combine neuron and MB reconstructions.
Supplemental Data.
Supplemental Data, including figures and tables, and Supplemental Experimental Procedures are available at www.jneurosci.org as supplemental material.
Results
Larval appetitive olfactory learning relies on a subset of embryonic-born Kenyon cells
In adult flies, MBINs, arborizing exclusively within MBs, consist of several types of KCs and three types of non-KCs (Tanaka et al., 2008). For third instar larvae, only three different types of KCs were identified as MBINs: embryonic-born γ type, larval-born γ type, and larval-born α′/β′ type KCs (Lee et al., 1999; Masuda-Nakagawa et al., 2005; Ramaekers et al., 2005). In adults, the role of subtypes of MBINs in olfactory memory formation was addressed in several studies. Briefly, γ type KCs have been suggested to support short-term memory, whereas α/β type KCs were considered as playing an important role in long-term memory. For α′/β′ type KCs, it has been claimed that neural transmission of these neurons is required for acquisition and stabilization of odor memory (Heisenberg et al., 1985; McGuire et al., 2001; Pascual and Préat, 2001; Schwaerzel et al., 2003; Yu et al., 2005, 2006; Krashes et al., 2007).
To functionally dissect the larval KC types in a comparable way, we applied a recently established larval classical conditioning paradigm that uses two odorants as conditioned stimuli and fructose as an unconditioned stimulus (Hendel et al., 2005; Michels et al., 2005; Gerber et al., 2009). For analyzing the role of embryonic-born KCs in larval odor–sugar learning, we first studied first instar larvae, whose MBs comprise exclusively embryonic-born KCs. First instar wild-type larvae showed significant appetitive olfactory learning (p = 1.8 × 10−4) (Fig. 1A). Alternatively we tested second and third instar larvae whose MBs were chemically deprived of larval-born KCs. This was achieved by feeding the mitosis-inhibiting agent HU to newly hatched first instar larvae, thereby blocking selectively the Nbs proliferating during this period, i.e., the four MB Nbs and the additional lateral Nb (Technau and Heisenberg, 1982; de Belle and Heisenberg, 1994; Stocker et al., 1997; Armstrong et al., 1998). Deletion of all KC lineages except the embryonic-born KCs was confirmed in whole mounts of the brain stained by anti-Fasciclin II (FasII) and anti-Choline acetyltransferase (ChAT) antibodies as neuropil markers (Fig. 1D,E). Second and third instar wild-type larvae treated with HU as first instars did not show any significant reduction in learning compared to nontreated control larvae (p = 0.44 s instar compared with HU control; p = 0.29 third instar compared with HU control) (Fig. 1B,C). These data demonstrate that normal first instar larvae, as well as second and third instar larvae whose MBs are deprived of larval-born KCs, are able to form odor–sugar associations (p = 6.1 × 10−5 for HU-treated second instar larvae; p = 6.1 × 10−5 for HU-treated third instar larvae).
In a second experiment, we asked which sets of embryonic- or larval-born KCs are necessary for larval odor–sugar learning. We applied the GAL4/UAS system that allows one to reproducibly express a given effector gene in a genetically defined set of cells, for cellular visualization (e.g., by expressing the green fluorescent protein GFP) or for conditional block of neurotransmission (e.g., via the temperature-sensitive dominant-negative shibirets1 gene) (Brand and Perrimon, 1993; Kitamoto, 2001; Duffy, 2002). We crossed six GAL4 driver lines that had been identified from 94 lines in our anatomical screen (supplemental Table S1, available at www.jneurosci.org as supplemental material) and preferentially express GAL4 either in embryonic-born γ type KCs (D52H and NP1131), in embryonic- and larval-born γ type KCs (201y and MB247) or in larval-born α′/β′ type KCs (c305a and c503) (see below) (see Fig. 4) with the UAS-shits1 responder transgene to block synaptic output of these neurons (Kitamoto, 2001). Because shits1 can be conditionally activated, we were able to interfere with neurotransmission specifically during the time of the learning experiment, by that excluding developmental phenotypes.
At restrictive temperature, none of the four experimental larvae, MB247/UAS-shits1, D52H/UAS-shits1, c305a/UAS-shits1, and c503/UAS-shits1 showed significantly reduced performance scores compared to the GAL4/+ and UAS/+ controls (Fig. 2). Yet, c305a/UAS-shits1, while not being reduced compared to GAL4/+ (Fig. 2E) (for all, p > 0.05) was reduced compared to UAS-shits1/+ (p = 0.043). In contrast, 201y/UAS-shits1 and NP1131/UAS-shits1 larvae performed significantly less well at restrictive temperature in the appetitive olfactory learning assay than their respective GAL4/+ and UAS/+ controls (201y/UAS-shits1 vs 201y/+ p = 0.0003; vs UAS-shits1 p = 1.8 × 10−5; NP1131/UAS-shits1 vs NP1131/+ p = 0.0002; vs UAS-shits1 p = 0.0001) (Fig. 3D,H). However, the performance of 201y/UAS-shits1 (p = 0.027) and NP1131/UAS-shits1 (p = 0.005) larvae was still above chance level (Fig. 3D,H). For none of the two crosses, a significant reduction in performance was detected at permissive temperature (Fig. 3B,E,I) (for all, p > 0.05, except for NP1131/UAS-shits1 vs NP1131/+, which is significantly increased, p = 0.028) and their general sensory acuity was also not different from their appropriate controls (supplemental Table S2, available at www.jneurosci.org as supplemental material) (p > 0.05).
The only region of overlapping expression between the two lines 201y and NP1131 affected by the blocking experiment are embryonic-born γ type KCs (see also supplemental Fig. S2, available at www.jneurosci.org as supplemental material). To determine whether the memory loss in the previous experiments was indeed due to synaptic block of MB neurons labeled by 201y and NP1131, we incorporated the MBGAL80 transgene, which represses GAL4 activity in MBs (Lee et al., 1999). When combining the MBGAL80 insertion with these drivers crossed to UAS-mCD8::GFP, only a small set of KCs was labeled with the 201y driver (Fig. 3F,G) and none at all with NP1131 (Fig. 3J,K). Therefore, the presence of MBGAL80 specifically abolished GAL4 activity in MBs but left expression elsewhere largely intact. After conditioning and testing at restrictive temperature, neither 201y/MBGAL80/UAS-shits1 larvae nor NP1131/MBGAL80/UAS-shits1 larvae were reduced in appetitive olfactory learning compared to their appropriate controls (Fig. 3D,H) (for 201y/MBGAL80/UAS-shits1 compared to MBGAL80/UAS-shits1/+, p = 0.911; for NP1131/MBGAL80/UAS-shits1 compared to MBGAL80/UAS-shits1/+, p = 1.000). These data suggest that synaptic output of specific subsets of embryonic-born KCs is necessary for establishing larval appetitive olfactory learning.
Expression patterns of the behaviorally analyzed driver lines in the larval mushroom bodies
To comprehensively analyze the expression patterns of the six behaviorally tested driver lines in first, second, and third instar larvae, we crossed them with UAS-mCD8::GFP and stained the neuropil with anti-FasII and anti-ChAT antibodies (Fig. 4, Table 1; supplemental Table S1, available at www.jneurosci.org as supplemental material). In addition, labeled KCs were counted at each larval instar in at least 10 MBs per genotype (Table 1). Crossing the lines with UAS-nsyb::GFP and UAS-Dscam17.1::GFP (Ito et al., 1998; Wang et al., 2004) allowed us to disentangle, respectively, the presynaptic and postsynaptic organization of neurons (Fig. 5, Table 1).
Table 1.
GAL4 line | 201y | mb247 | NP1131 | D52H | C305 | C503 |
---|---|---|---|---|---|---|
Mushroom body expression | ||||||
Number of Kenyon cells at the first instar | 72 ± 8 | 54 ± 4 | 25 ± 2 | 7 ± 1 | 23 ± 2 | 12 ± 1 |
Number of Kenyon cells at the second instar | 128 ± 9 | 160 ± 6 | 25 ± 2 | 7 ± 1 | 59 ± 6 | 42 ± 1 |
Number of Kenyon cells at the third instar | 315 ± 14 | 341 ± 25 | 27 ± 2 | 8 ± 1 | 189 ± 13 | 113 ± 8 |
UAS-nsyb::GFP expression in the lobes | Yes | Yes | Yes | Yes | Weak | No |
UAS-nsyb::GFP expression in the calyces | Yes | Yes | Yes | Yes | Weak | Yes |
UAS-Dscam17.1::GFP expression in lobes | No | No | No | No | No | No |
UAS-Dscam17.1::GFP expression in calyces | Yes | Yes | Yes | Yes | Weak | Weak |
Expression outside of the mushroom body at the third instar | ||||||
Ring gland | + | − | − | + | − | − |
DILP neurons | − | − | ++ | − | − | − |
Unidentified neurons in the brain | + | − | + | + | + | + |
Ventral nerve cord | + | − | + | − | ++ | ++ |
Glia | − | ++ | − | − | − | − |
−, No expression; +, low expression; ++, high expression. Values are given as mean ± SEM.
The 201y line expresses GAL4 in a broad set of embryonic- and larval-born KCs (Fig. 4A,G,M, Table 1; supplemental Table S1, available at www.jneurosci.org as supplemental material), but also labels a small number of other neurons in the brain, ring gland, and ventral nerve cord (VNC) (Fig. 4M,M′). Expression in MB247 includes a large set of embryonic- and larval-born γ neurons as well as glia cells in the VNC (Fig. 4B,H,N, Table 1; supplemental Table S1, available at www.jneurosci.org as supplemental material). As none of these two drivers labels the core of the pedunculus at the third instar, it is unlikely that they cover larval-born α′/β′ neurons (Fig. 4M‴,N‴). NP1131 and D52H specifically stain a small set of ∼25 and 7 embryonic-born γ neurons, respectively, because both patterns cover exclusively the surface layer of the third instar pedunculus (Fig. 4O‴,P‴) and are visible already at the first instar (Fig. 4C,D, Table 1; supplemental Table S1, available at www.jneurosci.org as supplemental material). NP1131 labels variable types of neurons in the entire CNS, such as neurons in the visual system or DILP-type neurons (Fig. 4O,O″, Table 1) (Drosophila insulin-like protein) (Ikeya et al., 2002), whereas D52H additionally stains neurons projecting to the visual system, the ring gland as well as peripheral nerve glia (Fig. 4J′,P′, Table 1). Finally, c305a and c503 label larval-born α′/β′ KCs in the third larval instar, as suggested from their trajectory through the core of the pedunculus (Fig. 4E,K,Q, Table 1; supplemental Table S1, available at www.jneurosci.org as supplemental material) and they stain elements in the thoracic and abdominal ganglia, mostly sensory terminals from the periphery.
When crossed with UAS-Dscam17.1::GFP (Wang et al., 2004), the four drivers 201y, MB247, NP1131, and D52H highlighted the calyces, but neither the pedunculus nor the lobes (Fig. 5A–D, lower rows). In contrast, when crossed with UAS-nsyb::GFP (Ito et al., 1998), all four drivers labeled the lobes and, at lower intensity, the calyces (Fig. 5A–D, upper rows). These results suggest that these four lines express GAL4 in different sets of embryonic- and larval-born γ neurons that have presynaptic and postsynaptic sites in the calyces, as recently reported for the adult MBs (Leiss et al., 2009), while being exclusively presynaptic in the lobes. c305a crossed to UAS-nsyb::GFP very weakly labeled both calyx and lobes (Fig. 5E,E′). Driving UAS-Dscam17.1::GFP via c305a and c503 revealed weak expression in the calyx (Fig. 5E,F, lower rows). Hence, these two drivers likely express GAL4 mainly in larval-born α′/β′ neurons, which are not functional in third instar larvae, in agreement with the findings by Lee et al. (1999).
Together the behavioral and anatomical data suggest that embryonic-born KCs included in the expression patterns of 201y and NP1131, but not in the expression patterns of MB247 and D52H, harbor a memory trace for larval odor–sugar learning (see also supplemental Fig. S1, available at www.jneurosci.org as supplemental material).
GAL4 driver analysis of extrinsic and intrinsic neurons defines subdomains of the larval mushroom body
In adult Drosophila, KCs, additional MBINs and MBENs contribute to the MBs (Tanaka et al., 2008). The morphology of these cell types provides important insights into possible anatomical subdivisions of this center and provides a first idea how unconditioned stimuli may be delivered to and how memory may be read out from the MBs. For this purpose, we screened third instar expression patterns of a set of 64 GAL4 lines that were reported to express GAL4 in adult MBENs and MBINs (H. Tanimoto, personal communication; Tanaka et al., 2008). We were indeed able to identify both MBENs and non-KC MBINs in the larva, in particular when applying the flp-out system to trace single neurons in a complex GAL4 expression pattern. To facilitate comparison between larval and adult stages, we applied the adult nomenclature for MBENs and MBINs (Tanaka et al., 2008). However, because we did not trace these neurons during metamorphosis, we are unable to draw any conclusions about homologies between larval and adult neurons with similar morphologies.
Remarkably, for a given type of neuron there was very little variability in arborization. We identified seven types of MBENs (Fig. 6A–G), which we categorized according to the MB subdomains they innervated (for subdomain definition, see Fig. 7). Three types (Fig. 6A,B,D) of the here shown MBENs were published before (Selcho et al., 2009) and are completed by another set of four MBENs (Fig. 6C,E–G). The putative dopaminergic neurons DL1-1 and DL1-2 (Selcho et al., 2009) labeled by the TH-GAL4 line innervated, respectively, the tip region (V3) and the shaft region (V2) of the ipsilateral and contralateral vertical lobe (Fig. 6A,B). A single neuron identified by NP3128 innervated ipsilaterally the base (V1) of the vertical lobe (Fig. 6C). The DL1-5 neuron (Selcho et al., 2009) visualized by TH-GAL4 innervated exclusively the spur of ipsilateral and contralateral MBs (Fig. 6D). Another neuron of NP3128 innervated the lateral appendix (LA) ipsilaterally and a small region basal to the ipsilateral and contralateral medial lobe (Fig. 6E). A single neuron of NP2447 showed bilateral innervation of the medial appendix (MA) (Fig. 6F) and the dorsomedial protocerebrum. The calyx is innervated by olfactory PNs, 19–22 of which are visualized by GH146-GAL4 (Fig. 6G) (Heimbeck et al., 1999). Their precise connectivity between antennal lobe glomeruli and calyx glomeruli was analyzed at single-cell level (Ramaekers et al., 2005; Masuda-Nakagawa et al., 2009).
From the two types of non-KC MBINs that we identified (Fig. 6H,I), a single neuron visualized by GH146-GAL4 had a basolateral cell body (BL neuron) and innervated specifically the pedunculus (Fig. 6H). Moreover, a neuron labeled by NP3128 and termed anterior paired basolateral (APBL) neuron because of its cell body position interconnected the ipsilateral and contralateral medial lobes (Fig. 6I). Interestingly, although our screen included nine lines that express GAL4 in the adult dorsal paired median (DPM) neuron (Waddell et al., 2000; Tanaka et al., 2008), none of them revealed any DPM equivalent in the larva.
Discussion
The mushroom bodies, multifunctional centers of insect brains
One of the proposed functions of insect MBs is to act as an integration center for multiple sensory modalities. For example, recordings from efferent neurons in the cockroach MBs demonstrate that the MBs integrate, in a context-specific manner, the dominant olfactory input with visual, tactile, and acoustic information (Strausfeld et al., 2003). In Drosophila, MBs were reported to be involved in many tasks, such as locomotor control, sleep, complex forms of visual learning, courtship conditioning, place memory, context-dependent association, and experience-dependent nonassociative osmotactic responses (for a detailed description see Tanaka et al., 2008). In many insects, including adult Drosophila, MBs are also known to function as centers for olfactory learning and memory (Heisenberg, 2003; McGuire et al., 2005; Keene and Waddell, 2007), while not being essential for certain experience-independent olfactory-related behaviors (de Belle and Heisenberg, 1994; Heimbeck et al., 2001; Kido and Ito, 2002; Wang et al., 2003).
Larval olfactory learning relies on the mushroom bodies
For Drosophila larvae, a number of arguments from published data and our own results (Figs. 1, 3) imply the necessity and sufficiency of the larval MB for olfactory learning and memory: (1) Classical learning mutants like dunce and rutabaga are impaired in larval appetitive (Honjo and Furukubo-Tokunaga, 2005, 2009) and aversive olfactory learning (Aceves-Piña and Quinn, 1979; Honjo and Furukubo-Tokunaga, 2009). As their gene products are highly enriched in the MBs, cAMP-pathway-dependent molecular coincidence detection of odor and reinforcement signaling in this brain structure was suggested (Crittenden et al., 1998). (2) The structural mutant mushroom body miniature is impaired in larval odor-electric shock learning (Heisenberg et al., 1985). (3) Blocking synaptic output via shibirets using the MB-specific driver lines 201y and OK301 (Honjo and Furukubo-Tokunaga, 2005) or 201y and NP1131 (this study, Fig. 3) blocks larval appetitive and aversive learning (Honjo and Furukubo-Tokunaga, 2009). Specifically, the latter authors showed that output from chemical synapses of the MBs is required at test, but is dispensable during training to support normal appetitive and aversive memory. (4) Larvae of the rover allele of the foraging gene show higher initial scores for olfactory learning than sitter larvae (Kaun et al., 2007). foraging codes for protein kinase G, which displays low activity in sitter and high activity in rover variants (Osborne et al., 1997). Interestingly, the learning phenotype in sitters can be rescued to rover levels by boosting expression of the protein kinase G in the MBs via the driver strains 201Y, H24, and c739 (Kaun et al., 2007). (5) Reinforcement signaling by dopaminergic and octopaminergic neurons onto the MBs is likely to be necessary during training for aversive and appetitive olfactory learning (Honjo and Furukubo-Tokunaga, 2009; Selcho et al., 2009). Together these data strongly suggest that the larval MBs harbor an olfactory memory trace, similar to the role proposed for its adult counterpart (Heisenberg, 2003; Gerber et al., 2004; McGuire et al., 2005; Keene and Waddell, 2007).
Synaptic connectivity defines subdomains of the larval mushroom body
Based on the innervation patterns of MBENs and non-KC MBINs, we define at least 10 anatomical subdomains in MBs of third instar larvae (Fig. 7): calyx (MB-C), pedunculus (MB-P1; perhaps consisting of more than one subregion), spur (MB-S), vertical lobe comprising three subdomains (MB-V1, MB-V2, MB-V3), medial lobe with at least two subdomains (MB-M1, MB-M2), lateral appendix (MB-LA), and medial appendix (MB-MA).
The larval olfactory pathway was proposed as an elementary olfactory model system, based on its strongly reduced nonredundant cellular organization but similar design as in adult insects (Vosshall and Stocker, 2007). Here we show that similarity with the adult stage also refers to the subdomain organization of the larval MBs. Tanaka et al. (2008) have shown that the adult vertical lobes consist of at least two lobes (α and α′), each of which is partitioned by MBENs into three subdomains. The larval vertical lobe consists of only one lobe, which is however also divided into three subdomains (Fig. 7D). Likewise, both the adult γ lobe and the larval medial lobe can be divided by MBEN innervation into five subdomains (Tanaka et al., 2008) (Fig. 7E). Yet, the adult medial lobes possess two more lobes, β and β′, each divisible into two subdomains by MBENs (Tanaka et al., 2008). Therefore, the adult lobes were suggested to consist of at least 15 subdomains, whereas the larval MB lobes, according to our data, comprise 10 subdomains. And recent data even functionally suggests an organization of the adult MB into different subunits involved in integrating the state of hunger and appetitive memory (Krashes et al., 2009), odor and electric shock sensation as well as aversive reinforcement signaling (Claridge-Chang et al., 2009; Mao and Davis, 2009). Obviously however, adult MB lobes are substantially more complex than their larval counterparts.
Role of embryonic- and larval-born mushroom body Kenyon cells in larval olfactory learning
During a first phase of proliferation, the four MB Nbs give rise to a total of ∼250 embryonic-born functional KCs (Technau and Heisenberg, 1982; Ito and Hotta, 1992). The MB Nbs continue to proliferate throughout larval life. They give rise to γ type KCs at earlier stages and α′/β′ type KCs from the mid-third larval instar (Lee et al., 1999), generating in total ∼2000 additional KCs (Technau and Heisenberg, 1982).
Here show that first instar larvae are able to establish odor–sugar memory (Fig. 1A) and in addition that second and third instar larvae deprived of larval-born KCs can do so as well (Fig. 1B,C). These data support the classical study by Aceves-Piña and Quinn (1979), which reported that first instar larvae are able to form associations between an odor and electric shock. Thus, it is tempting to speculate that the neuronal circuits underlying larval olfactory learning at the level of the MBs are established during embryogenesis. This is supported by the general idea that neurons generated during larval life, called secondary neurons, do not terminally differentiate before metamorphosis; they form unbranched neurites, called cell body fibers, that terminate at the cortex–neuropil boundary (Hertweck, 1931; Dumstrei et al., 2003). Such developmental patterns were described in detail for PNs (Jefferis et al., 2004; Marin et al., 2005), the adult optic lobes that account for most of the growth during larval brain development (Nassif et al., 2003), as well as for KCs of the honeybee (Farris et al., 1999). According to this interpretation, additional KCs generated during larval life would remain nonfunctional in the larva but are crucial for proper adult MB function.
In contrast to this, larval-born γ type KCs establish dendritic terminals in up to six larval calyx glomeruli while differentiating during larval life (Lee et al., 1999; Masuda-Nakagawa et al., 2005). Thus we will not exclude that these neurons may participate in olfactory tasks that we have not addressed in our experiments.
However, the small number of only ∼250 embryonic-born KCs involved in larval appetitive olfactory learning (Figs. 1–3) allow for analyzing how different odor memories are represented at the level of KC types or even single KCs. Remarkably, block of synaptic output in a set of ∼50 embryonic-born KCs labeled by MB247 had no significant effect on appetitive olfactory learning for a particular odor combination (Fig. 2C), whereas block of another 70 or 25 embryonic-born KCs (included in the 201y or NP1131 pattern, respectively) led to significantly reduced performance (Fig. 3D,H). Thus it is well possible that the appetitive character of a specific odor is stored in small sets of embryonic-born KCs or even in single cells, which do not overlap in the two lines. Alternatively, as the three lines label only ∼30% (for 201y), 20% (for MB247), or 10% (for NP1131) of the embryonic-born KCs, odor-memories may reside in larger KC populations in a complex pattern that is not yet understood.
Integration of newborn neurons into the existing mushroom body circuitry
Is neuronal plasticity limited to synaptic remodeling or are changes in learning performance related to neurogenesis? In house crickets, it was shown that KC proliferation during adult life improves olfactory learning (Cayre et al., 2007). Furthermore, adult neurogenesis in the mammalian subventricular zone, which gives rise to new neurons migrating into the olfactory bulb, was suggested to play a role in olfactory learning (Zhao et al., 2008). Yet, since investigations in this field are still rather limited, it is a matter of debate whether neurogenesis is indeed an important mechanism for learning and memory.
Based on our HU-ablation data, we propose that larval appetitive olfactory learning depends on the existing embryonic-born MB circuits (see above); thus we are tempted to exclude a participation of KC neurogenesis for larval learning. Therefore this hypothesis can now be validated using genetic approaches to interfere with KC development while monitoring associative olfactory learning in more detail. For example, it would be interesting to know whether continuous integration of new neurons into existing memory circuits modifies, impairs, or strengthens preexisting memory information, as recently suggested for hippocampus-dependent associative fear memory in rats (Kitamura et al., 2009).
Footnotes
This work was supported by the Swiss National Funds (to R.F.S., Grant 3100A0-105517). We thank M. Heisenberg, B. Gerber, J. Rister, K. Ito, Y. Aso, L. Masuda-Nakagawa, and H. Tanimoto for kindly providing fly strains and for their help on the manuscript. We are grateful to A. Jenett for providing the “cellcounter” plugin for ImageJ. All NP lines were obtained from Drosophila Genetic Resource Center at Kyoto Institute of Technology.
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