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. 2026 Oct 13;14:RP109394. doi: 10.7554/eLife.109394

Endosome-associated Rab GTPases control distinct aspects of neural circuit assembly

Katherine X Dong 1, Yanbo Zhang 1, Hui Ji 1, David J Luginbuhl 1, Liqun Luo 1,✉, Colleen N McLaughlin 1,†,✉
Editors: P Robin Hiesinger2, Claude Desplan3
PMCID: PMC13661049  PMID: 42868010

Abstract

Neural circuit assembly relies on the precise regulation of cell-surface receptors that mediate signaling and adhesion. Endocytosis controls receptor activity and availability by internalizing and routing proteins through early endosomes to one of two main pathways: recycling back to the cell-surface or delivery to lysosomes for degradation. Rab GTPases direct receptors into these distinct pathways, but their specific contributions to circuit formation remain opaque. Using clonal analyses with null alleles, we dissected the roles of Rab-mediated trafficking to early, late, and recycling endosomes across multiple stages of circuit assembly in vivo. Our approach revealed that Rab5 and Rab11 regulate extensive and largely distinct developmental events, highlighting the pivotal roles of early endosome sorting and recycling pathways in circuit assembly. As neurons mature, both the spatial distribution and abundance of specific endocytic compartments change to reflect evolving trafficking demands. Our findings underscore how distinct post-endocytic trafficking fates are necessary to build neural circuits.

Research organism: D. melanogaster

Introduction

Compartmentalization is a hallmark of eukaryotic cells and is essential for nearly all aspects of cellular physiology. Organelles partition cells into spatially distinct microdomains that concentrate factors to create biochemical environments necessary for cellular function. The endolysosomal system plays a vital role in subcellular organization. This dynamic network of membrane-bound compartments integrates endocytic, biosynthetic, and degradative pathways to regulate metabolism, signaling, and protein trafficking (Settembre et al., 2013; Toshima and Toshima, 2024; Villaseñor et al., 2016; von Zastrow and Sorkin, 2021).

Neurons rely on the endolysosomal system to meet their extraordinary spatial and functional demands (Azarnia Tehran and Maritzen, 2022; Camblor-Perujo and Kononenko, 2022; Imoto and Watanabe, 2025; Yap et al., 2022). Endocytosis not only governs homeostatic processes like nutrient uptake but also underlies neuron-specific functions such as axon growth (Deshpande and Rodal, 2016; Lasiecka et al., 2014; Nishimura et al., 2003) and guidance (Pasterkamp and Burk, 2021; Zang et al., 2021; McLaughlin et al., 2026), synaptic transmission (Kittler et al., 2005; Shioda et al., 2017), and neuronal polarity (Eichel et al., 2022). A major aspect of this regulation involves the selective internalization of cell surface receptors, which enables neurons to remodel their plasma membrane in response to internal and external cues. Following internalization, both soluble and membrane-anchored proteins transit to early endosomes. From there, proteins destined for degradation are trafficked through late endosomes to lysosomes (Cullen and Steinberg, 2018), while others are recycled to the plasma membrane or the Golgi apparatus (Toshima and Toshima, 2024; Grant and Donaldson, 2009). These two fates have diametrically opposed consequences: degradation causes signal termination, whereas recycling can enable signal reactivation. Thus, the endolysosomal system both shapes the neuronal surface proteome (McLaughlin et al., 2026) and plays a pivotal role in controlling signal transduction.

Rab proteins comprise a highly conserved family of small GTPases that control intracellular protein trafficking (Wandinger-Ness and Zerial, 2014; Zerial and McBride, 2001). Rabs direct the post-endocytic itineraries of internalized cargos by compartmentalizing endocytic functions and coordinating transport to distinct endocytic vesicle populations such as early endosomes, recycling endosomes, late endosomes, and lysosomes (Bucci et al., 1992; Bucci et al., 2000; Rink et al., 2005; Ullrich et al., 1996; Wandinger-Ness and Zerial, 2014; Zerial and McBride, 2001). Each Rab is typically enriched on a specific membrane compartment (such as Rab5 to early endosomes; Figure 1A), where it functions as a molecular switch, cycling between an inactive, cytosolic GDP-bound state and an active, membrane-associated, GTP-bound form (Stenmark et al., 1994; Zerial and McBride, 2001). In their GTP-bound state, Rabs recruit effector proteins to coordinate trafficking events such as vesicle transport, tethering, and fusion (Jordens et al., 2005; Markgraf et al., 2007; Zerial and McBride, 2001). Thus, Rabs serve as essential sorting regulators that control the abundance, localization, and signaling activities of cell surface receptors. Although endocytic Rabs have been linked to neurodevelopmental disorders (Lamers et al., 2017; Meng et al., 2023) and processes (Saxena et al., 2005; Khodosh et al., 2006; Kawauchi et al., 2010; Rodal et al., 2011; Takano et al., 2012; Takano et al., 2014; Falk et al., 2014; Wu et al., 2014; Taylor et al., 2015; Liu et al., 2017; Furusawa et al., 2017), much prior work has examined the function of individual Rabs in isolated developmental events or in in vitro systems. Thus, we lack a comprehensive understanding of how distinct Rabs contribute to the assembly of intact neural circuits in vivo.

Figure 1. A subset of endosome-associated Rabs are expressed in olfactory projection neurons (PNs) and are involved in dendrite targeting.

(A) Diagram of Rab GTPases and the endosomal compartments they predominantly localize to. (B) Schematic of the adult Drosophila brain, highlighting the olfactory system. ORNs, olfactory receptor neurons. PNs, projection neurons. Glomerulus on the far left depicts one-to-one matching between PNs and ORNs. (C) Schematic representing PN development at three distinct time points. APF, after puparium formation. (D) tSNE plots of developing PN single-cell RNA-seq (scRNA-seq) depicting stages profiled: 24 hr APF, 48 hr APF, and adult (leftmost plot) and expression of endosome-associated Rab GTPases. Expression is in log2(CPM +1), where CPM stands for transcript counts per million reads. scRNA-seq data are from Xie et al., 2021. (E) Schematic of ventromedial (VM) screening line used in Rab GTPase dominant negative screen. GTP-binding defective dominant negative Rabs were expressed in the majority of PNs using VT033006-GAL4, and targeting of VM5d/v was monitored with GMR86C10-LexA>LexAop-mtdTomato. (F–I) Representative images of indicated genotypes depicting phenotypes observed in dominant negative screen. Red dotted lines outline the VM5d/v glomeruli, and red arrows denote ectopic targeting. Scale bar, 20 μm. (J) Percent of antennal lobes with mistargeting in the Rab dominant negative screen; Fisher’s exact test compared to controls was used to assess statistical significance. In this and all subsequent figures: D, dorsal; L, lateral. NCad (in blue) is used to label neuropil/glomeruli. *p < 0.05; **p < 0.01; ***p < 0.001; n.s., not significant. n, the number of the antennal lobes quantified. Images of the antennal lobe were taken of 0- to 5-day-old adults unless otherwise noted.

Figure 1—source data 1. Quantification of phenotypes presented in Figure 1 and related figure supplements.

Figure 1.

Figure 1—figure supplement 1. Expression of endosome-associated Rab GTPases in olfactory projection neurons.

Figure 1—figure supplement 1.

Expression of Rab GTPases in developing PNs at 24 hr after puparium formation (APF) and 48 hr APF from single-cell RNA-seq (scRNA-seq) data. Expression is in log2(CPM + 1), where CPM stands for transcript counts per million reads. scRNA-seq data are from Xie et al., 2021.

Figure 1—figure supplement 2. Expression of endosome-associated Rab GTPases in olfactory receptor neurons.

Figure 1—figure supplement 2.

Expression of Rab GTPases in developing ORNs at 24 hr after puparium formation (APF) and 48 hr APF from single-cell RNA-seq (scRNA-seq) data. Expression is in log2(CPM + 1), where CPM stands for transcript counts per million reads. scRNA-seq data are from McLaughlin et al., 2021.

Figure 1—figure supplement 3. Extended analysis of endosome-associated Rab GTPases.

Figure 1—figure supplement 3.

(A–D) Representative images of indicated genotypes depicting phenotypes observed in dominant negative screen. Red dotted lines outline the VM5d/v glomeruli, and red arrows denote ectopic targeting. Scale bar, 20 μm. (E) Percent of antennal lobes with mistargeting in the Rab dominant negative screen. Fisher’s exact test compared to control.

Here, we used Drosophila second-order olfactory projection neurons (PNs) to systematically evaluate the roles of Rab-mediated early, late, and recycling endocytic fates during circuit formation. PNs relay sensory information from the primary sensory neurons, olfactory receptor neurons (ORNs), to higher-order brain centers (Figure 1B). Assembly of the olfactory circuit begins with dendritic patterning of ~50 distinct PN types, which are largely derived from one of two main lineages: anterodorsal (adPNs) and lateral (lPNs) neuroblasts. Within each lineage, distinct types of PNs are generated in an invariant birth order, project their dendrites to stereotyped loci within the developing antennal lobe, and send their axons to higher-order brain centers (Jefferis et al., 2001; Jefferis et al., 2004; Lin et al., 2012; Marin et al., 2002; Yu et al., 2010). Subsequently, axons of each of the ~50 ORN types enter the antennal lobe and form one-to-one synaptic connections with PN dendrites at anatomically stereotyped positions, which will eventually become glomeruli (Vosshall and Stocker, 2007; Wilson, 2013). Concurrent with ORN innervation, PN axons elaborate and refine branches and presynaptic boutons in two higher-order centers: the mushroom body and lateral horn. These developmental events unfold across a defined pupal timeline, enabling precise evaluation of dendrite targeting and axon morphogenesis within the same neuron across multiple stages (Figure 1C).

This system enabled us to compare the functions of multiple Rabs within the same cell types spanning multiple aspects of circuit assembly. We identified endocytic Rabs critical for circuit assembly using combined transcriptomic analysis and loss-of-function screening approaches. Comprehensive clonal analysis of multiple Rabs revealed that each Rab, and its related endocytic fate, is critical for distinct aspects of circuit assembly and neuronal morphogenesis. These findings demonstrate that even within a single neuronal subtype, endocytic sorting pathways are differentially employed to control separate aspects of connectivity.

Results

Olfactory PNs express a subset of endosome-associated Rabs

The Drosophila genome encodes 33 Rab genes (Zhang et al., 2007), 23 of which have direct human orthologs (Chan et al., 2011; Kohrs et al., 2021), offering reduced genetic redundancy compared to the human genome, which encodes 66 Rabs. Previous studies have characterized Rab GTPase expression using endogenously tagged alleles (Dunst et al., 2015; Chan et al., 2011; Jin et al., 2012; Kohrs et al., 2021). However, PN axons and dendrites reside in dense neuropil regions where they interact with the processes of other neurons and glial cells (Figure 1B, C), making it challenging to use these reagents to unambiguously define cell-type-specific expression of Rab proteins. To assess cell-type-specific expression and function of Rabs, we began by using our single-cell RNA-seq (scRNA-seq) data (Xie et al., 2021) to evaluate expression of all endosomal Rab GTPases in PNs corresponding to early (24 hr APF [after puparium formation]) and mid- (48 hr APF) development, as well as in the adult stage (Figure 1C, D).

We found that developing PNs express a subset of endosomal Rabs (Figure 1D, Figure 1—figure supplement 1). Most endosome-associated Rabs had one of two expression patterns. Early endosome-associated (Rab4 and Rab5) (Gorvel et al., 1991; Kouranti et al., 2006; Simpson et al., 2004; van der Sluijs et al., 1992; Wandinger-Ness and Zerial, 2014), recycling endosome-associated (Rab11) (Ullrich et al., 1996; Zulkefli et al., 2019), and late endosome-associated (Rab7) (Rink et al., 2005) Rabs were ubiquitously and highly expressed in PNs (Figure 1D, Figure 1—figure supplement 1), whereas early-endosomal Rab21 and Rab35 (Allaire et al., 2010; Kouranti et al., 2006; Simpson et al., 2004) displayed lower overall expression (Figure 1—figure supplement 1). Finally, neither Rab9 (late endosomes) (Lombardi et al., 1993) nor Rab10 (recycling endosomes) (Chen et al., 2006; Etoh and Fukuda, 2019) were robustly expressed in PNs at any developmental stage (Figure 1—figure supplement 1). Our analyses indicate that PNs express a specific set of endosomal Rabs.

We also evaluated endosomal Rab expression in ORNs, the presynaptic partners of PNs, via scRNA-seq (McLaughlin et al., 2021) to determine whether Rab expression patterns are a general feature of developing neurons or vary in a cell-type-specific manner. Both olfactory neuron types shared similar high expression of Rab5, Rab4, Rab11, and Rab7, and low-to-absent expression of Rab9 and Rab10 (Figure 1—figure supplement 2). While Rab35 and Rab21 were expressed at low levels in both cell types, a smaller proportion of ORNs expressed these Rabs compared to PNs (Figure 1—figure supplement 2), suggesting that developing ORNs may rely less heavily on these trafficking regulators. These analyses indicate that developing olfactory neurons express a core set of endosomal Rabs.

To begin evaluating the function of these GTPases in PNs, we performed a dominant negative (DN) screen of endosome-associated Rabs. We focused on those that are highly expressed in PNs and are associated with trafficking cargos through distinct endocytic compartments. Rab2, for instance, can associate with degradative compartments but was excluded from our screen due to its primary functions in axonal transport of lysosomes (Lund et al., 2021), delivery of lysosomal proteins to the lysosomal system (Lund et al., 2018), and autophagy (Ding et al., 2019; Zhou et al., 2023). We expressed GDP-locked DN versions of each Rab, which compete with wild-type Rabs for access to guanine nucleotide exchange factors (GEFs), in the majority of PNs using VT033006-GAL4. To monitor dendrite targeting, we used an orthogonal driver to label VM5d/v PN dendrites within this background (shown in white; see Supplementary file 1 for complete genotype details) and N-cadherin immunostaining to delineate glomerular boundaries (shown in blue; Figure 1E, F).

Expressing DN versions of Rab4, Rab21, or Rab35 led to mild dendrite targeting defects, typically with only a few individual dendrite branches extending beyond the VM5d/v glomerular boundary (Figure 1—figure supplement 3A–E). Expressing DN forms of Rab5, Rab11, or Rab7, on the other hand, resulted in stronger dendrite mistargeting (Figure 1F–J) with a higher density of dendrites elaborating in incorrect glomeruli compared to Rab4, Rab21, and Rab35 defects. Although impairing each of these Rabs caused PN dendrites to target to ectopic glomeruli neighboring VM5d/v, the spatial location of mistargeting varied. For instance, disrupting Rab5 function caused dendrites to spread in dorsal, lateral, and ventral directions (Figure 1G), whereas dendrites primarily mistargeted to ventral glomeruli when Rab11 or Rab7 were disrupted (Figure 1H, I).

Rab11 is associated with slow endosomal recycling (Takahashi et al., 2012; Ullrich et al., 1996; Zulkefli et al., 2019) from recycling endosomes to the plasma membrane, whereas both Rab4 and Rab35 function in parallel fast recycling pathways directly from early endosomes to the cell surface (Allaire et al., 2010; Kouranti et al., 2006; van der Sluijs et al., 1992). The stronger phenotype observed upon Rab11 interference suggests that the slow recycling route may be the predominant recycling pathway used in developing PNs. Further, among the early endosome-associated Rabs, Rab5 disruption produced stronger phenotypes than Rab21 (Figure 1G, J, Figure 1—figure supplement 3C, E). These findings are consistent with the idea that Rab5 regulates trafficking of a broad set of cargos, whereas Rab21 is thought to act more selectively on fewer cargos (Del Olmo et al., 2019; Pellinen et al., 2006; Shikanai et al., 2023). Together, these data indicate that a subset of endosome-associated Rabs is critical for PN dendrite targeting.

We wanted to leverage the mistargeting phenotypes observed upon disruption of Rab5, Rab7, and Rab11 to evaluate how distinct post-endocytic pathways contribute to circuit assembly. However, our initial analyses may have technical (e.g., late GAL4 driver expression) or biological (e.g., DN Rabs sequestering GEFs shared by multiple Rab proteins) limitations that could mask the full extent of Rab-specific contributions to this process. We circumvented this by performing clonal analyses in PNs homozygous for null alleles of Rab5, Rab7, or Rab11, which allowed us to dissect the individual roles of each Rab in PN development.

Rab5 regulates multiple features of PN development

Early endosomes are the first major sorting station of internalized cargos. Rab5 controls early endosome biogenesis (Zeigerer et al., 2012), cargo trafficking (Bucci et al., 1992; Gorvel et al., 1991), and plays a key role in endosomal maturation toward late endosomes (Rink et al., 2005). As such, Rab5 has been implicated in dendrite arborization (Satoh et al., 2008) and targeting (Sakuma et al., 2014) in Drosophila, as well as in neuronal polarity (Guo et al., 2016) and dendrite development (Moya-Alvarado et al., 2018) in cultured mammalian neurons.

Given the pleiotropic function of Rab GTPases, we sought to further define neurodevelopmental roles of Rab5 by generating PN clones homozygous for a Rab5 null allele using the mosaic analysis with a repressible cell marker (MARCM) system (Lee and Luo, 1999). MARCM leverages mitotic recombination to generate homozygous mutant (or wild-type) clones marked with membrane-targeted GFP, allowing visualization of neuronal processes from individual neurons of defined genotypes against an unlabeled background (Figure 2—figure supplement 1A, B). We used this system to generate both single-PN clones for high-resolution analysis of cell-autonomous phenotypes and larger neuroblast clones comprising multiple PNs from the same lineage to assess multiple cell types simultaneously or uncover potential non-autonomous effects.

To determine the effects of Rab5 loss on multiple PNs simultaneously, we first focused on the larval-born adPN neuroblast lineage (hereafter adPN clones) whose development and targeting patterns are well characterized (Jefferis et al., 2001; Jefferis et al., 2004; Figure 2A). Loss of Rab5 in adPN neuroblast clones caused a significant decrease in the number of labeled cells (Figure 2B, C), indicating that Rab5 mutants are undergoing cell death or may have defective cell proliferation. Since PN dendrite targeting and birth order are stereotyped (Jefferis et al., 2001; Yu et al., 2010), we differentiated between these two possibilities by evaluating which glomeruli lose innervation in Rab5 adPN clones. If PNs are dying, we would expect to observe a loss of innervation across all glomeruli, whereas proliferation defects would disproportionately affect later-born PNs. In line with the latter explanation, we observed a loss of innervation to glomeruli normally targeted by later-born adPNs compared to those that are targeted by earlier-born adPNs (Figure 2D). Beyond loss of innervation from proliferation defects, Rab5 mutants exhibited ectopic innervation of glomeruli not normally targeted by adPN dendrites (Figure 2B, E, Figure 2—figure supplement 1C). Since only adPNs were labeled and manipulated in this analysis, these data indicate that Rab5 also regulates dendrite targeting specificity. Taken together, Rab5 is critical for both neuroblast proliferation and dendrite targeting.

Figure 2. Rab5 regulates multiple features of PN dendrite development.

(A) Volume rendering of a subset of glomeruli in the adult antennal lobe depicting those targeted by larval-born PNs from the anterodorsal lineage, hereafter adPNs, in gray, and other glomeruli in blue. (B) Representative images of dendrites from adPN neuroblast clones of indicated genotypes. Red dotted lines encircle adPN glomeruli. (C) Quantification of the number of cell bodies in adPN neuroblast clones in controls (n = 10) and Rab5–/– mutants (n = 9). Data are presented as medians (IQR); Mann–Whitney U test was used to assess statistical significance. Quantification of percent of antennal lobes with each category of dendrite innervation to adPN glomeruli (D) and glomeruli other than those targeted by larval-born adPNs (E). Fisher’s exact test was used to assess statistical significance. Representative images of DL1-PN single-cell clone dendrites of indicated genotypes at 42–48 hr APF (F, G) and in the adult stage (H, I). Red dotted lines outline ectopically innervated glomeruli, green dotted lines outline DL1 glomerulus, and red arrows denote DL1-PN axon. Quantification of percent of antennal lobes with altered dendrite innervation compared to controls in 42–48 hr APF (J) and adult (K) PNs. Fisher’s exact test was used to assess statistical significance. Scale bar, 20 µm (B, F, H).

Figure 2—source data 1. Quantification of phenotypes presented in Figure 2.

Figure 2.

Figure 2—figure supplement 1. Schematic of MARCM-based mosaic analysis.

Figure 2—figure supplement 1.

(A) Schematic depicting heatshock flp induction of single-cell or neuroblast MARCM clones. MARCM can be used to generate GFP-labeled single-cell or neuroblast clones in PNs. All clones were induced by heat shock applied to newly hatched larvae (0–24 hr after larval hatching), so our analyses are primarily restricted to the adPNs and DL1-PN single-cell clones. (B) Schematic of MARCM analysis. A mutant (Rab5, Rab7, or Rab11) allele is placed on a chromosome arm in trans to the chromosome arm with a GAL80 transgene. Heterozygous cells express GAL80, which represses GAL4 activity and thus inhibits GFP expression in these cells. Following, FLP-mediated mitotic recombination and X-segregation (bottom row) one of the daughter cells becomes homozygous for the mutant allele and loses the GAL80 transgene. Thus, homozygous mutant cells will be labeled with membrane-bound GFP (and can also express any UAS-based rescue transgene). (C) Quantification of adPN mistargeting in additional non-adPN glomeruli. Fisher’s exact test.

We next tested the cell-autonomous role of Rab5 in PN dendrite targeting. By generating DL1-PN single-cell clones and quantifying dendrite targeting at a stage when glomerular boundaries have just formed during development (48 hr APF), we could directly observe targeting errors close to when they arise. Loss of Rab5 in DL1-PN clones resulted in ectopic innervation into the neighboring glomeruli D and DL5 as well as reduced innervation to the DL1 glomerulus (Figure 2F, G, J), consistent with a previous study (Sakuma et al., 2014). Dendrite mistargeting persisted into adulthood (Figure 2H, I, K), indicating that these defects are not corrected by removal of aberrant projections. Although the deficits did not reach statistical significance, we also observed consistent mistargeting to DA4m and DA4l glomeruli (Figure 2G, I–K) in Rab5 mutant single-cell clones. Thus, Rab5 regulates PN dendrite targeting.

Rab5 has target-specific effects on axon development

PN axons exit the antennal lobe and project to the mushroom body and lateral horn (Figure 3A) where they elaborate branches and form presynaptic boutons. Rab5 has been implicated in regulating axon elongation (Falk et al., 2014; Sakuma et al., 2014), fasciculation (Wu et al., 2014), and guidance (Sakuma et al., 2014; Wu et al., 2014); however, its roles in other developmental processes are largely undefined. Our ability to generate DL1-PN mutant clones enabled us to evaluate the function of Rab5 in axon growth and guidance as well as finer-scale axon morphology. Consistent with previous work (Sakuma et al., 2014), 41% of the DL1-PN mutant clones terminated in the vicinity of the antennal lobe rather than projecting to higher-order regions (Figure 3B, right), indicating that Rab5 is important for axon guidance.

Figure 3. Rab5 is required for axon guidance and morphogenesis.

Figure 3.

(A) Schematic depicting DL1-PN dendrites innervating the DL1 glomerulus and axon projecting to the mushroom body and lateral horn. (B) Representative images of a control DL1 PN depicting its axon in the mushroom body and lateral horn (top left) and of the axon guidance defects observed in Rab5 mutants where the axon does not project to higher-order brain centers (middle) and quantification of the number of antennal lobes where this phenotype was observed (right). Red arrows denote DL1-PN axons terminating in ectopic regions. Fisher’s exact test was used to assess statistical significance. Representative image of control (C) or Rab5–/– mutant (D) DL1-PN axons at the mushroom body at 42–48 hr APF. Dotted lines denote the border of the mushroom body. Quantification of number of terminal boutons (E) and average terminal bouton width (F) in each DL1-PN mushroom body axon for controls (n = 9) and Rab5–/– mutants (n = 8) at 42–48 hr APF. Data are presented as medians (IQR); statistical significance was assessed using the Mann–Whitney U test. Representative image of control (G) or Rab5–/– mutant (H) DL1-PN axons at the mushroom body at the adult stage. Dotted lines denote the border of the mushroom body. Quantification of number of terminal boutons (I) and average terminal bouton width (J) in each DL1-PN mushroom body axon for controls (n = 9) and Rab5–/– mutants (n = 6) at the adult stage. Data are presented as medians (IQR). Mann–Whitney U test was used to assess statistical significance. Scale bar, 20 µm (B); 10 µm (C, G).

Figure 3—source data 1. Quantification of data presented in Figure 3.

We next examined the morphology of the Rab5 mutant axons that successfully reached higher-order brain centers. After leaving the antennal lobe, DL1-PN axons first send branches that terminate in the mushroom body (Figure 3A), a neuropil critical for olfactory learning and memory (de Belle and Heisenberg, 1994; Heisenberg et al., 1985). Although the precise location of axon branches within this neuropil is stochastic, DL1-PN axons nonetheless display stereotyped morphology characterized by consistent bouton number, size, and branch number.

We first evaluated DL1-PN axon morphology during development (42–48 hr APF), as these axons were elaborating boutons and refining their morphology (Figure 3C, D). Since each axonal branch in the mushroom body terminates in a presynaptic bouton (Figure 3B, G), we quantified terminal boutons as a proxy for total axonal branch number. Compared to controls, Rab5 mutant axons had fewer terminal boutons, representing a loss of higher-order branching (Figure 3E). This reduction in axonal branching persisted into the adult mushroom body (Figure 3G–I) and was accompanied by a nearly twofold increase in bouton size (Figure 3J), which was not observed during development (Figure 3F). These findings imply that mushroom body boutons retain the capacity to grow in later stages of development and suggest that Rab5 is required to restrain bouton expansion as the circuit matures. Together, these data indicate that Rab5 is required for axon branching while restricting bouton size in the mushroom body.

Beyond the mushroom body, PN axons innervate the lateral horn (Figure 3A). This second output region regulates innate olfactory responses (Heimbeck et al., 2001; Marin et al., 2002; Wong et al., 2002; Jefferis et al., 2007) and provides an opportunity to evaluate Rab5 function in a distinct axonal target within the same neuron. DL1-PN projections to the lateral horn are stereotyped and exhibit a characteristic ‘L-shaped’ branching pattern, composed of a shorter dorsal and longer lateral branch (Figure 3B), each of which contains relatively few higher-order branches. Compared to controls, Rab5 mutant axons formed more secondary branches and boutons in the lateral horn (Figure 4A–D), indicating that Rab5 normally restrains branching and bouton elaboration in this region. This contrasts its function in the mushroom body, where Rab5 promotes axon branching (Figure 3E, I), indicating that Rab5 has target-specific functions in axon terminal elaboration.

Figure 4. Rab5 restrains axonal morphogenesis in the lateral horn.

Figure 4.

Representative image of a control (A) or Rab5–/– mutant (B) DL1-PN axon at the lateral horn at the adult stage. Red arrows denote enlarged boutons. Quantification of the number of secondary branches (C), number of boutons (D), and average bouton width (E) in each DL1-PN axon at the lateral horn for controls (n = 10) and Rab5–/– mutants (n = 7) at the adult stage. Data are presented as median (IQR); statistical significance was assessed using the Mann–Whitney U test. Representative image of a control (F) or Rab5–/– mutant (G) DL1-PN axon at the lateral horn at 48 hr APF. Quantification of the number of secondary branches (H), number of boutons (I), and average bouton width (J) in each DL1-PN axon at the lateral horn for controls (n = 9) and Rab5–/– mutants (n = 7) at 48 hr APF. Data are presented as median (IQR); statistical significance was assessed using the Mann–Whitney U test. Scale bar, 10 µm (A, F).

Figure 4—source data 1. Quantification of data presented in Figure 4.

While most Rab5 mutant phenotypes were consistent between development (Figure 4F–I) and adulthood (Figure 4A–D), boutons in the lateral horn, like in the mushroom body, underwent substantial expansion after initial axon morphogenesis (Figure 4E, J). These findings indicate that PN bouton size remains plastic into later stages of development and that Rab5 acts as a critical brake on bouton expansion across distinct axonal targets. Altogether, these findings reveal that Rab5 can exert opposing effects on axon terminal arborization in different targets within the same neuron. Thus, highlighting that target-specific regulation of early endosomal trafficking is necessary to achieve the distinct axonal architectures.

Developmental dynamics of early endosomes across PN compartments

To understand where Rab5 could be acting to carry out its functions, we mapped the distribution of early endosomes in PN dendrites and axons. Using MARCM, we expressed mCherry-2xFYVE, which predominantly accumulates on early endosomes (Gaullier et al., 1998; Gillooly et al., 2000), only in DL1-PNs at an early developmental timepoint (24–30 hr APF) and in adults. During development, there were relatively few early endosomes in PN dendrites, and they predominantly localized to more central dendrite regions and not the growing processes (Figure 5A). The adult dendritic arbor, on the other hand, was filled with many small early endosomes and larger clusters (Figure 5B). These findings indicate that the early endosome population expands in tandem with dendritic arbor growth.

Figure 5. Developmental dynamics of early endosomes across neuronal compartments.

Figure 5.

(A) Airyscan super resolution images depicting the localization of FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at 24–30 hr APF. (B) Representative images depicting the localization of the early endosome marker FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at the adult stage. (C) Airyscan super resolution images depicting the mushroom body localization of the early endosome marker FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at 24–30 hr APF. (D) Representative images depicting the mushroom body localization of FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at the adult stage. (E) Airyscan super resolution images depicting the lateral horn localization of FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at 24–30 hr APF. (F) Representative images depicting the lateral horn localization of FYVE-mCherry expressed in a DL1-PN single-cell clone (left), single-channel FYVE image (middle), and 3D volume rendering (right) at the adult stage. Note that puncta outside of lateral horn axons are in other nearby cell types. Scale bar, 5 µm (A–F).

On the axon side, early endosomes accumulated in terminal boutons of both developing and adult mushroom body axons (Figure 5C, D), suggesting that terminal boutons are critical endosomal sorting sites. In the lateral horn, early endosomes were distributed throughout the axon but absent from actively growing processes during development (Figure 5E). In adult axons, this vesicle population was also found throughout the axon in both boutons and inter-bouton regions (Figure 5F). Altogether, these data indicate that early endosome distribution remains relatively stable between developing and adult stages in both axonal compartments, though their precise localization differs between the mushroom body and lateral horn.

Rab7 is non-cell-autonomously required for DL1-PN dendrite targeting

Following entry into early endosomes, internalized cargo is directed toward one of two main destinations: lysosomes or recycling endosomes. However, the relative contributions of these distinct trafficking outcomes to the development of the same neuron in vivo remain largely opaque. To address this, we began by assaying Rab7 function in PN development. Rab7 predominantly localizes to late endosomes where it facilitates conversion of early endosomes to late endosomes (Rink et al., 2005), regulates late endosome fusion with lysosomes (Bucci et al., 2000; Vanlandingham and Ceresa, 2009; Xing et al., 2021), and promotes autophagosome maturation (Hyttinen et al., 2013).

The Rab7 null allele is a GAL4 knock-in into the endogenous Rab7 locus (Cherry et al., 2013) and is, therefore, incompatible with traditional MARCM approaches as they rely on the GAL4/UAS system to label cells (Lee and Luo, 1999; Wu and Luo, 2006). To circumvent this and analyze Rab7 function in PN development, we performed clonal analyses with a second binary expression system, the Q system (Potter et al., 2010; Potter and Luo, 2011), referred to as QMARCM (Potter et al., 2010). QMARCM is comparable to GH146-GAL4-based MARCM (Potter et al., 2010) but uses GH146-QF to drive QUAS membrane markers or rescue transgenes.

We first quantified the number of adPN cell bodies and found that Rab7 is dispensable for neurogenesis and/or neuronal survival (Figure 6—figure supplement 1A). Further, loss of Rab7 resulted in mild dendrite targeting defects in neuroblast clones (Figure 6—figure supplement 1B, C, E, F). A few glomeruli (DL1, DC2, and DM6) had a reduction in innervation compared to controls (Figure 6—figure supplement 1C, E), but the rest were unchanged. To verify that Rab7 was responsible for these phenotypes, we generated a QUAS-mCherry-Rab7 transgene and re-expressed it in adPN clones. Expression of mCherry-Rab7 in Rab7 mutant adPNs rescued the innervation defects to the DL1 and DM6 glomeruli and partially rescued targeting to DC2 (Figure 6—figure supplement 1D, E). In addition to the decrease in innervation, Rab7 mutants exhibited minor mistargeting to non-adPN glomeruli (Figure 6—figure supplement 1F). While some of the mistargeting phenotypes could be rescued by re-expression of mCherry-Rab7, others could not (Figure 6—figure supplement 1D, F), indicating that either precise Rab7 levels are important for dendrite targeting or that Rab7 loss in non-adPNs could exert non-autonomous effects on neighboring neurons. This data suggests that Rab7 regulates dendrite targeting of a subset of PNs but is not broadly required for this process.

Does Rab7 have cell-autonomous roles in dendrite targeting? While neuroblast clones showed reduced innervation to the DL1 glomerulus (Figure 6—figure supplement 1C, E), Rab7 mutant DL1-PN single-cell clones did not exhibit defects in dendrite targeting (Figure 6A, B). The failure to recapitulate the loss of innervation observed in neuroblast clones could indicate that (1) Rab7 is non-autonomously required for this process or (2) Rab7 perdurance may occur in the DL1-PN single-cell clones. Our initial findings that expressing Rab7-DN in most PNs caused dendrite targeting defects (Figure 1I) imply that Rab7 may be non-autonomously required for dendrite targeting. To try to circumvent potential RNA/protein perdurance in DL1-PN MARCM clones, we expressed Rab7-DN specifically in DL1-PNs using a DL1-PN-specific GAL4 driver and evaluated dendrite targeting. No mistargeting was observed when Rab7 function was impaired in DL1-PNs (Figure 6—figure supplement 2A, B). Thus, the DL1-PN dendrite mistargeting observed in adPN neuroblast clones may be caused by disruption of Rab7 in neighboring PNs, suggesting that Rab7 is non-cell-autonomously required for dendrite targeting of DL1-PNs.

Figure 6. Rab7 plays a minor role in PN development.

Representative images of dendrite targeting of DL1-PN single-cell clones in control (A) and Rab7–/– mutant (B) antennal lobes. Red numbers in the right corner of images denote DL1-PN dendrite mistargeting phenotypic penetrance. (C) Airyscan super-resolution image depicting localization of mCherry-Rab7 in developing DL1-PN dendrites (left), single-channel image of Rab7 (middle), and 3D volume rendering of Rab7 distribution (right). (D) Representative image of localization of mCherry-Rab7 in a Rab7–/– mutant background in adult DL1-PN single-cell dendrites (left), single-channel image of Rab7 (middle), and 3D volume rendering of Rab7 distribution (right). Representative images of mushroom body projections of control (E) and Rab7–/– mutant (F) DL1-PN single-cell clones. Red numbers in the right corner of images denote DL1-PN axon morphogenesis phenotypic penetrance. (G) Airyscan super-resolution image depicting localization of mCherry-Rab7 in a developing DL1-PN axon at the mushroom body (left), single-channel image of Rab7 (middle), and 3D volumes rendering of Rab7 distribution (right). (H) Representative image of localization of mCherry-Rab7 in a Rab7–/– mutant background in an adult DL1-PN axon at the mushroom body (left), single-channel image of Rab7 (middle), and 3D volume rendering of Rab7 distribution (right). (I) Airyscan super-resolution image depicting localization of mCherry-Rab7 in a developing DL1-PN axon at the lateral horn (left), single-channel image of Rab7 (middle), and 3D volume rendering of Rab7 distribution (right). (J) Representative image of localization of mCherry-Rab7 in a Rab7–/– mutant background in an adult DL1-PN axon at the lateral horn (left), single-channel image of Rab7 (middle), and 3D volume rendering of Rab7 distribution (right). Scale bar, 20 µm (B); 10 µm (F); 5 µm (C, D, G–J).

Figure 6—source data 1. Quantification of data presented in Figure 6 and related figure supplements.

Figure 6.

Figure 6—figure supplement 1. Extended analysis of Rab7 loss-of-function MARCM phenotypes.

Figure 6—figure supplement 1.

(A) Quantification of number of cell bodies in adPN neuroblast clones of controls (n = 5), Rab7–/– mutants (n = 14), and Rab7 rescues (n = 6). Data are presented as medians (IQR). Kruskal–Wallis test followed by Dunn’s test post hoc was used to assess statistical significance. (B–D) Representative images of adPN neuroblast clones of indicated genotypes. Quantification of percent of antennal lobes with each category of dendrite innervation to adPN glomeruli (E) and non-adPN glomeruli (F) in indicated genotypes. Fisher–Freeman–Halton test was used to assess statistical significance. See Supplementary file 2 for complete statistical analysis. (G) Representative images of DL1-PN lateral horn axons in indicated genotypes. Scale bar, 20 µm (B), 10 µm (G).
Figure 6—figure supplement 2. Rab7 is dispensable for DL1-PN development.

Figure 6—figure supplement 2.

(A, B) Representative images of DL1-PN dendrite targeting in indicated genotypes. Red numbers in the right corner of images denote DL1-PN dendrite mistargeting phenotypic penetrance. (C, D) Representative images of mushroom body axons in indicated genotypes. Red numbers in the right corner of images denote DL1-PN axon morphogenesis phenotypic penetrance. (E, F) Representative images of lateral horn axons in indicated genotypes. Red numbers in the right corner of images denote DL1-PN axon morphogenesis phenotypic penetrance. Scale bar, 20 µm (B); 10 µm (D, F).

Finally, we examined Rab7 localization in developing and adult dendrites. To evaluate Rab7 distribution at single-cell resolution, we re-expressed the mCherry-Rab7 transgene in Rab7 mutant DL1-PN dendrites and evaluated its distribution. In adult dendrites, we found that Rab7 is punctate and present throughout the dendritic arbor (Figure 6D); however, we were unable to obtain reliable membrane GFP expression at 24–30 hr APF using the QMARCM system. We bypassed this limitation by generating and expressing a UAS version of mCherry-Rab7 in DL1-PNs using MARCM. During development, Rab7 was similarly present throughout the dendritic arbor (Figure 6C), suggesting that developing and adult dendrites may have comparable degradative needs.

Rab7 does not play a major role in DL1-PN axon development

Does Rab7 play a role in axon development? To test this, we evaluated DL1-PN axon morphology in the mushroom body and lateral horn and found that Rab7 mutant DL1-PN axons did not differ in morphology or branching compared to control DL1-PN axons in the mushroom body (Figure 6E, F) or lateral horn (Figure 6—figure supplement 1G). Consistently, expression of Rab7-DN in DL1-PNs did not alter any aspect of axonal morphology (Figure 6—figure supplement 2C–F). Thus, Rab7 may be dispensable for DL1-PN axon development.

Using the same genetic strategies as in dendrites, we evaluated Rab7 localization in mushroom body and lateral horn axons. In both developing and adult mushroom body axons, Rab7 appeared to be in large clusters (Figure 6G, H) within the boutons. In the lateral horn, Rab7 was abundant in both developing and adult projections (Figure 6I, J); however, unlike in the mushroom body, Rab7 puncta appeared larger in adult boutons than developing ones, with many filled with prominent Rab7-positive clusters (Figure 6J). Overall, while Rab7 is expressed in developing neurons, Rab7-mediated degradation does not have a major role in regulating axon or dendrite development of DL1-PNs or could be acting redundantly with other degradative pathways.

Rab11 has PN type-specific roles in dendrite targeting and innervation

Rab11 predominantly localizes to recycling endosomes and facilitates cargo recycling to the plasma membrane via this vesicular pool (Zulkefli et al., 2019). Thus, to understand how Rab11-mediated recycling contributes to circuit assembly, we started by testing Rab11’s role in PN dendrite targeting.

Rab11 mutant adPNs exhibited decreased dendrite innervation into several adPN glomeruli as well as ectopic innervation into other non-adPN glomeruli (Figure 7A, B, D, E, Figure 7—figure supplement 1A), indicating that Rab11 regulates PN dendrite targeting. Loss of innervation to adPN glomeruli was not caused by impaired proliferation or increased cell death, as there was no difference in the number of adPNs in Rab11 mutants compared to controls (Figure 7—figure supplement 1B). Re-expressing an mCherry-tagged Rab11 (Chen and He, 2022) in adPNs rescued the majority of the innervation defects (Figure 7C–E, Figure 7—figure supplement 1A), indicating that these defects are specific to Rab11 loss. However, re-expression of mCherry-Rab11 in Rab11 mutant adPN clones did cause some mistargeting to non-adPN glomeruli (Figure 7E, Figure 7—figure supplement 1A), suggesting that specific Rab11 levels may be important for the development of some PN types.

Figure 7. Rab11 has cell-type-specific roles in PN dendrite targeting and innervation.

Representative images of dendrite targeting of adPN neuroblast clones in control (A), Rab11–/– mutant (B), and Rab11 rescue (C) antennal lobes. Quantification of percent of antennal lobes with each category of dendrite innervation to adPN glomeruli (D) and glomeruli other than those targeted by larval-born adPNs (E). Fisher–Freeman–Halton test was used to assess statistical significance. See Supplementary file 3 for complete statistical analysis. Representative images of control (F), Rab11–/– mutant (G), and Rab11 rescue (H) DL1-PN single-cell clone dendrites. (I) Percent of the DL1 glomerulus filled by DL1-PN dendrites of controls (n = 9), Rab11–/– mutants (n = 7), and Rab11 rescues (n = 4). Data are presented as medians (IQR); statistical significance was assessed using a Kruskal–Wallis test followed by Dunn’s test post hoc. Representative images of control (J) and Rab11–/– mutant (K) DL1-PN single-cell clone dendrites at 42–48 hr APF. (L) Percent of the DL1 glomerulus filled by DL1-PN dendrites of controls (n = 5) and Rab11–/– mutants (n = 7) at 42–48 hr APF. Data are presented as medians (IQR); statistical significance was assessed using the Mann–Whitney U test. Scale bar, 20 µm (A, F); 15 µm (J).

Figure 7—source data 1. Quantification of data presented in Figure 7 and related figure supplements.

Figure 7.

Figure 7—figure supplement 1. Additional analysis of Rab11 dendrite targeting phenotypes.

Figure 7—figure supplement 1.

(A) Quantification of ectopic dendrite targeting phenotypes across all analyzed non-adPN glomeruli, excluding those present in Figure 7E. Note the non-adPN glomeruli present in Figure 7E are significantly different. Fisher–Freeman–Halton test was used to assess statistical significance. See Supplementary file 3 for complete statistical analyses. (B) Quantification of number of cell bodies in adPN neuroblast clones of controls (n = 5), Rab11–/– mutants (n = 8), and Rab11 rescues (n = 5). Data are presented as medians (IQR). Kruskal–Wallis test followed by Dunn’s test post hoc test was used to assess statistical significance. (C) Representative images of mistargeting observed in indicated genotypes. Red dotted outline denotes DA1 (top row) or DC3/VA1d (bottom row) glomeruli. Green arrows denote mistargeting. (D) Quantification of the percent of the indicated glomerulus filled with PN dendrites in DA1-PN controls (n = 15) and Rab11–/– mutants (n = 12) and VA1d/DC3-PN controls (n = 13) and Rab11–/– mutants (n = 5). Data are presented as medians (IQR). Mann–Whitney U test was used to assess statistical significance. (E) Quantification of the proportion of antennal lobes with mistargeting. Fisher’s exact test was used to assess statistical significance. (F) Quantification of the number of cell bodies in neuroblast clones containing labeled DA1-PNs visualized by the MZ19-GAL4 driver for controls (n = 15) and Rab11–/– mutants (n = 12). Data are presented as medians (IQR). Mann–Whitney U test was used to determine assess significance. (G) Quantification of the number of cell bodies in neuroblast clones containing labeled VA1d/DC3-PNs visualized by the MZ19-GAL4 driver controls (n = 13) and Rab11–/– mutants (n = 5). Data are presented as medians (IQR). Mann–Whitney U test was used to assess statistical significance. Scale bar, 20 µm (C).

The loss of innervation we observed in neuroblast clones could reflect either dendrite mistargeting to incorrect glomeruli or a failure of these dendrites to fully innervate within their appropriate target. To distinguish between these possibilities, we evaluated DL1-PN single-cell clones. DL1-PN clones did not exhibit dendrite mistargeting (Figure 7F, G, I). Rather, their dendrites failed to fully innervate the DL1 glomerulus and instead were concentrated at its ventromedial region, a phenotype that was fully rescued by cell-autonomous re-expression of Rab11 (Figure 7H, I). Since defects in endosomal recycling are associated with neurodegeneration (Kiral et al., 2018), we probed if this innervation defect was the result of a failure to elaborate during development or retraction/degeneration in the adult stage. To answer this, we characterized DL1-PN dendrites during development. Similar to the adult phenotype, dendrites failed to fill the DL1 glomerulus, with only ~40% coverage (Figure 7J–L). Together, these data indicate that Rab11 is required for dendrite elaboration.

Since Rab11 mutant adPN neuroblast clones also exhibited ectopic targeting, we hypothesized that Rab11 could have cell-type-specific roles in dendrite targeting. Thus, we evaluated dendrite targeting in Rab11 mutant DA1 or VA1d/DC3 neuroblast clones using MZ19-GAL4-based MARCM analysis. In neuroblast clones that contain labeled DA1-PNs, Rab11 mutants exhibited reduced innervation into the DA1 glomerulus, along with ectopic targeting to mainly ventrolateral glomeruli (Figure 7—figure supplement 1C–E). Similarly, we observed a decrease in innervation into the VA1d and DC3 glomeruli and mistargeting to medial glomeruli in Rab11 mutant neuroblast clones that contain labeled VA1d/DC3-PNs (Figure 7—figure supplement 1C–E). Importantly, Rab11 mutants had a similar number of labeled cells as controls for both sets of clones (Figure 7—figure supplement 1F, G). Collectively, these data reveal that Rab11 has cell-type-specific roles in PN dendrite targeting and innervation.

Rab11 promotes axon stability and maturation

Next, we probed the role of Rab11 in DL1-PN axons. In the mushroom body, Rab11 mutant DL1-PN axons had fewer secondary branches and terminal boutons along with increased terminal bouton size (Figure 8A, B, D–F), similar to Rab5 mutants (Figure 3H–J). However, Rab11 mutant terminal boutons also exhibited thin ectopic processes emanating from them (Figure 8B, G), reminiscent of the filopodia that are present during axon development (Figure 8H, J). Most loss-of-function phenotypes could be rescued by re-expressing Rab11 in DL1-PNs, indicating that Rab11 is cell-autonomously required to promote mushroom body axon branching and restrain bouton size (Figure 8C, D–G).

Figure 8. Rab11 promotes mushroom body axon maturation.

Figure 8.

Representative images of adult control (A), Rab11–/– mutant (B), and Rab11 rescue (C) DL1-PN axons in the mushroom body. Quantification of the number of secondary branches (D), number of terminal boutons (E), average terminal bouton width (F), and percent of terminal boutons with ectopic processes (G) in each DL1-PN axon for controls (n = 9), Rab11–/– mutants (n = 10), and Rab11 rescues (n = 4). Data are presented as medians (IQR) and Kruskal–Wallis test followed by Dunn’s test post hoc was used to assess statistical significance. Representative images of developing control (H, J) and Rab11−/− mutant (I, K) DL1-PN axons in the mushroom body at 24–30 and 42–48 hr APF. (L) Quantification of the number of secondary branches in each DL1-PN axon at the mushroom body for 24–30 hr APF controls (n = 4) and Rab11−/− mutants (n = 6) and 42–48 hr APF controls (n = 9) and Rab11−/− mutants (n = 10). Data are presented as medians (IQR); statistical significance was assessed using the Mann–Whitney U test. (M) Quantification of the number of terminal boutons in each DL1-PN axon at the mushroom body for 42–48 hr APF controls (n = 9) and Rab11−/− mutants (n = 10). Data are presented as medians (IQR); statistical significance was assessed using the Mann–Whitney U test. Scale bar, 10 µm (B, I, K). Dotted lines denote the border of the mushroom body.

Figure 8—source data 1. Quantification of data presented in Figure 8.

During development, DL1-PNs extend nascent axonal branches into the mushroom body around 12 hr APF which mature into defined collateral branches containing multiple boutons by approximately 50 hr APF (Jefferis et al., 2004; Zhu and Luo, 2004). The persistent filopodia present on adult Rab11 mutant mushroom body axons implies that this GTPase promotes axon maturation. To evaluate if Rab11 mutant axon phenotypes are the result of maturation defects, we examined these axons at two developmental timepoints: 24–30 and 42–48 hr APF. At the earlier timepoint, control axons were collateralized and contained nascent boutons covered in filopodia-like processes (Figure 8H). However, Rab11 mutant axons had fewer secondary branches (Figure 8I, L), indicating that during development they fail to elaborate the correct number of branches. By 42–48 hr APF, control axons had fewer filopodia-like structures and were beginning to resemble the mature terminal (Figure 8J). By this later developmental timepoint, Rab11 mutants had lost many of their secondary branches and often contained a single branch or large bouton, similar to phenotypes observed in the adult stage (Figure 8B, K–M), indicating that Rab11 is required for both axon branch formation and stability. Together, Rab11 is required for mushroom body axon maturation and stabilization.

Does Rab11 play similar roles in the lateral horn? Indeed, loss of Rab11 resulted in multiple morphological defects in these targets in the adult stage. 50% of Rab11 mutant axons lacked either the dorsal or lateral branch (Figure 9A, B [left], D). Among those with a dorsal collateral, 50% exhibited overextension of this process, and some had a second dorsal branch (Figure 9B [left], E), which is occasionally observed in pupal stages but does not persist into adulthood (Jefferis et al., 2004). In addition to branching defects, Rab11 mutant axons extended many short filopodia-like processes (Figure 9B), similar to the ectopic nascent processes we observed in the mushroom body (Figure 8B, G). We quantified this by measuring the number of endpoints and average length of each process emanating from the dorsal or lateral branches and found that Rab11 mutant axons contained a significantly higher number of endpoints and shorter process lengths than controls (Figure 9F, G). Many of these phenotypes were rescued by re-expressing Rab11 in DL1 PNs (Figure 9C–G), indicating that Rab11 cell-autonomously promotes lateral horn axon development.

Figure 9. Rab11 is required for the maturation of lateral horn axons.

Figure 9.

Representative images of adult control (A), Rab11–/– mutant (B), and Rab11 rescue (C) DL1-PN axons at the lateral horn. Quantification of the percent of axons missing a main branch (D) or percent with an overextended dorsal branch (E). Statistical significance was assessed using the Fisher–Freeman–Halton test, followed by pairwise Fisher’s exact tests post hoc. Some measures did not reach statistical significance due to a low sample number inherent with MARCM analysis. Quantification of number of endpoints (F) or average process length (excluding main branches) (G) of each DL1-PN axon in the lateral horn of controls (n = 11), Rab11–/– mutants (n = 8), and Rab11 rescues (n = 4). Data are presented as medians (IQR). Kruskal–Wallis test followed by Dunn’s test post hoc was used to assess statistical significance. (H–K) Representative images of developing control and Rab11−/− mutant DL1-PN axons in the lateral horn at 24–30 and 42–48 hr APF. (L) Quantification of the percentage of lateral horn axons that have missing branches in each genotype at indicated developmental timepoints. Fisher’s exact test was used to assess statistical significance. Scale bar, 10 µm (A, H, J). Dotted lines denote the loss of lateral branches. Arrow heads indicate overextension of the dorsal branch.

Figure 9—source data 1. Quantification of data presented in Figure 9.

We next examined developing lateral horn axons to determine if the branching defects in Rab11 mutant axons resulted from a failure to form branches or from branch retraction. The lateral branch extends first (at ~18 hr APF) followed by the appearance of the dorsal collateral between 24 and 30 hr APF (Jefferis et al., 2004). By 42 h APF, a more mature axonal morphology emerges, characterized by the loss of filopodia-like projections and the appearance of rounded boutons (Figure 9H, J). Developing Rab11 mutant axons never lost these filopodia and additionally lacked either a dorsal or lateral branch (Figure 9I, K [right]), similar to the phenotypes at the adult stage. The proportion of Rab11 mutants missing the lateral branch at the adult stage was approximately 2.5-fold higher than at either developmental stage, whereas the proportion of mutants missing the dorsal branch remained similar across all stages (Figure 9D, L). These findings suggest that Rab11 plays distinct roles in lateral horn axon branching by promoting dorsal branch formation and preventing lateral branch retraction. Further, they highlight that Rab GTPases can exert target-specific effects within the same neuron. Collectively, our data demonstrate that Rab11 is required for axon maturation and morphological stability.

Developmental dynamics of Rab11 in PNs

Since Rab11 was broadly required for PN development, we sought to visualize its distribution to gain insight into where it might be acting. Because re-expression of mCherry-Rab11 rescued most Rab11 mutant phenotypes, we leveraged this genetic background to visualize Rab11 localization in developing and adult DL1-PN clones. During development, Rab11 was largely excluded from the distal dendritic processes and was instead concentrated at branch points, suggesting that recycling endosomes are enriched at central dendritic hubs during arborization (Figure 10A). In adult neurons, Rab11 was distributed throughout the arbor, including in distal processes (Figure 10B). The increased number and density of Rab11-positive compartments in adult dendrites suggest that as dendrites grow and elaborate there is a concomitant expansion of the recycling endosome network to support their functional demands.

Figure 10. Developmental dynamics of Rab11 distribution in PNs.

Figure 10.

(A) Airyscan super resolution images depicting the localization of mCherry-Rab11 in a Rab11–/– mutant background in a DL1-PN single-cell clone dendrites (left), single-channel Rab11 image (middle), and 3D volume rendering (right) at 24–30 hr APF. Zoom panels are single optical sections of areas indicated by white boxes. (B) Representative images depicting mCherry-Rab11 localization in a Rab11–/– mutant background in a DL1-PN single-cell clone dendrites (left), single-channel Rab11 image (middle), and 3D volume rendering (right) at the adult stage. Zoom panels are single optical sections of areas indicated by white boxes. Airyscan super resolution images depicting mCherry-Rab11 localization at the mushroom body (C) and lateral horn (D) in a Rab11–/– mutant background in a DL1-PN single-cell clone (left), single-channel Rab11 image (middle), and 3D volume rendering (right) at 24–30 hr APF. Zoom panels are single optical sections of areas indicated by white boxes. Representative images depicting mCherry-Rab11 localization at the mushroom body (E) and lateral horn (F) in a Rab11–/– mutant background in a DL1-PN single-cell clone (left), single-channel Rab11 image (middle), and 3D volume rendering (right) in the adult stage. Zoom panels are single optical sections of areas indicated by white boxes. Scale bar, 5 µm (A–F).

We next examined Rab11 localization in axons. Similar to developing dendrites, Rab11 was enriched at axonal branch points in both mushroom body and lateral horn axons, with reduced localization to actively growing processes (Figure 10C, D). By the adult stage, Rab11 accumulated in boutons with fewer smaller puncta in the inter-bouton regions (Figure 10E, F). Rab11 enrichment in mature boutons of both lateral horn and mushroom body axons could reflect its well-defined role in synaptic vesicle recycling (Ivanova and Cousin, 2022). Altogether, these observations indicate that Rab11 localization is dynamically regulated across development likely reflecting changes in recycling needs or cargo distribution across time.

Discussion

Building functional neural circuits depends on the coordination of diverse cellular processes each governed by tightly regulated protein trafficking, signaling, and turnover. Drosophila PNs provided a powerful model system to systematically evaluate the neurodevelopmental functions of individual endosome-associated Rabs within the same cell types in vivo. Through this approach, we found that even within a single neuron, distinct post-endocytic sorting events regulate different aspects of development and, in some cases, act in a compartment-specific manner (Figure 11). Below we discuss how studying membrane trafficking events in vivo can expand our understanding of neuronal development and cell biology.

Figure 11. Endosome-associated Rab GTPases regulate distinct aspects of neuronal morphogenesis and circuit assembly.

Figure 11.

Summary model of the roles of endosome-associated Rab GTPases in PN development.

Among the Rabs we tested, Rab5 regulated the broadest range of developmental events which likely reflects its role in establishing the initial sorting hub from which many internalized proteins are routed. In contrast, Rab7 and Rab11 had more specialized roles, with Rab11 directing a larger set of developmental processes than Rab7. Notably, Rab11 and Rab5 regulated largely non-overlapping processes, except for promoting axon branching and restraining bouton size in the mushroom body. These distinctions suggest that additional Rab-mediated trafficking routes downstream of early endosomes are also critical for circuit assembly.

Despite extensive study, the role of Rab5 in neuritogenesis and growth remains debated, with some reports indicating that it inhibits these processes and others finding the opposite (Villarroel-Campos et al., 2016). These inconsistencies may stem from the reliance on overexpression and dominant-negative constructs, in vitro models, or cell-type-specific functions. Our clonal analysis approach enabled us to directly probe the role of Rab5 in circuit assembly. Our findings, which extend those from a prior study (Sakuma et al., 2014), indicate that neurites still form and extend in the absence of Rab5, but both axons and dendrites fail to properly navigate to their appropriate targets. This is consistent with another report that found Rab5 is required for axon targeting of cortical neurons (Wu et al., 2014). Extending these insights, we defined additional roles for Rab5 and found that it is required to restrain PN axon branching and bouton size, processes that are distinct from initial neurite growth and guidance. We also showed that early endosomes are distributed in nascent boutons, where they could exact their developmental functions. Collectively, our data highlight the pleiotropic roles of Rab5 in multiple neurodevelopmental processes.

Although Rab7 is the primary regulator of late endosome–lysosome fusion (Bucci et al., 2000; Vanlandingham and Ceresa, 2009; Xing et al., 2021), our data suggest that it plays a minor role in PN development—consistent with prior studies of dendritic (Harish et al., 2019) and axonal (Ponomareva et al., 2016) branching. Specifically, expression of Rab7-DN in DL1-PNs and single-cell Rab7 mutant MARCM clones both failed to produce dendrite targeting or axonal phenotypes. Some residual Rab7 activity may remain in both manipulations due to RNA/protein perdurance in MARCM clones or incomplete DN suppression. Nevertheless, our findings suggest that Rab7-mediated degradation is not a major driver of DL1-PN development, though whether this reflects true dispensability or simply a lower threshold requirement for Rab7 activity remains an open question.

Rab7 did have non-autonomous effects on dendrite targeting for the PN types we examined. This is in line with findings from embryonic development, where Rab7 was shown to non-autonomously regulate receptor signaling during gastrulation (Kawamura et al., 2020). Perturbing Rab7 or endosomal acidification has been shown to cause a buildup of early endosomes (Girard et al., 2014; Lelouvier and Puertollano, 2011; Martina et al., 2009), raising the possibility that in some PNs, impaired degradation of receptors could prolong endosomal signaling and lead to non-autonomous effects on nearby neurons.

A possible explanation for the absence of cell-autonomous phenotypes is compensation by other degradative Rabs. While Rab9 and Rab2 associate with degradative compartments, Rab9 is not expressed in developing PNs (Figure 1—figure supplement 1), making it unlikely to compensate for Rab7 loss. Rab2 is expressed in PNs but primarily functions in autophagosome–lysosome fusion (Ding et al., 2019) and trafficking of lysosomes and their associated proteins toward late endosomes (Lund et al., 2018), rather than directing internalized cargo toward degradative compartments. Thus, while Rab2 is associated with the degradative pathway, it does not have overlapping functions with Rab7. Collectively, our findings imply that Rab7-mediated degradation plays a limited role in DL1-PN development, provided that upstream trafficking events adequately remove receptors from the plasma membrane and direct them toward endosomal compartments.

Rab11, on the other hand, was important for axonal maturation, particularly in the formation and stabilization of boutons and branches. Strikingly, even within the same neuron, Rab11 regulated distinct aspects of axon development: in the mushroom body, Rab11 promoted axonal branching, whereas in the lateral horn, it was critical for the formation of certain branches and the stabilization of others. Given Rab11’s well-established role in endosomal recycling, these phenotypes are consistent with a failure to deliver adhesion and signaling receptors back to the plasma membrane, disrupting maturation of nascent axonal processes. Further, the target-specific effects of Rab11 (in mushroom body vs. lateral horn projections) suggest that distinct sets of cargos may be recycled in different axonal regions (or that the same cargo could have distinct functions in different axonal targets) to drive local developmental processes.

Underscoring the specificity of endocytic recycling, Rab11 regulated distinct aspects of dendrite development across PN types. In DL1-PNs, Rab11-mediated recycling was critical for dendrites to fully innervate their target glomerulus, whereas this GTPase promoted dendrite targeting in DA1-PNs and VA1d/DC3-PNs. These findings not only extend the role for Rab11 beyond dendrite branching (Takano et al., 2014) but also suggest that it could recycle a unique set of cargoes in each cell type. Supporting this idea, the Rab11-dependent DL1-PN dendrite phenotype, but not the VA1d/DC3-PN phenotypes, resembles that observed upon loss of the cell adhesion protein Dscam, which normally promotes dendritic self-avoidance (Zhu et al., 2006). These data raise the possibility that endocytic recycling regulates self-recognition events critical for dendrite elaboration, though further studies are needed to directly test this. Thus, our findings highlight that endosomal recycling can exert cell type- and compartment-specific control over neuronal development. Defining the cargos regulated by Rab11-mediated trafficking will be essential for understanding how this pathway sculpts connectivity. Altogether, our work reveals how neurons harness multiple endocytic routes, in a compartment- and cell type-specific manner, to control neuronal morphogenesis and circuit formation.

Materials and methods

Materials availability

We have deposited newly generated flies in the Bloomington Drosophila Stock Center. All other unique reagents generated in this study are available from the corresponding authors (cnm@stanford.edu or lluo@stanford.edu).

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Genetic reagent (D. melanogaster) VT033006-GAL4 Tirian and Dickson, 2017 RRID:BDSC_73333
Genetic reagent (D. melanogaster) GMR86C10-LexA Xie et al., 2019 N/A
Genetic reagent (D. melanogaster) LexAop-mtdTomato Xie et al., 2019 N/A
Genetic reagent (D. melanogaster) Or98a-mCD8-GFP Couto et al., 2005 RRID:BDSC_52647
Genetic reagent (D. melanogaster) Or92a-rCD2 Li et al., 2018 N/A
Genetic reagent (D. melanogaster) UAS-lacZ Brand and Perrimon, 1993 RRID:BDSC_1776
Genetic reagent (D. melanogaster) UAS-Rab5.S43N Bloomington Drosophila Stock Center RRID:BDSC_42703 Bellen, 2012
Genetic reagent (D. melanogaster) UAS-Rab5.S43N Bloomington Drosophila Stock Center RRID:BDSC_42704 Bellen, 2012
Genetic reagent (D. melanogaster) UASp-YFP.Rab11.S25N Zhang et al., 2007 RRID:BDSC_23261
Genetic reagent (D. melanogaster) UASp-YFP.Rab11.S25N Zhang et al., 2007 RRID:BDSC_9792
Genetic reagent (D. melanogaster) UASp-YFP.Rab7.T22N Zhang et al., 2007 RRID:BDSC_9778
Genetic reagent (D. melanogaster) UAS-mCD8-GFP Lee and Luo, 1999 RRID:DGGR_108068
Genetic reagent (D. melanogaster) hsFlp122 Struhl and Basler, 1993 N/A
Genetic reagent (D. melanogaster) TubP-Gal80 Lee and Luo, 1999 RRID:BDSC_9917
Genetic reagent (D. melanogaster) GH146-GAL4 Stocker et al., 1997 RRID:BDSC_30026
Genetic reagent (D. melanogaster) Rab52 Wucherpfennig et al., 2003 N/A
Genetic reagent (D. melanogaster) Rab11EP3017 Bellen et al., 2004 RRID:BDSC_42708
Genetic reagent (D. melanogaster) UAS-mCherry-Rab11 Chen and He, 2022 N/A
Genetic reagent (D. melanogaster) FRT40A Xu and Rubin, 1993 RRID:BDSC_1744
Genetic reagent (D. melanogaster) FRT82B Xu and Rubin, 1993 N/A
Genetic reagent (D. melanogaster) FRT19A Xu and Rubin, 1993 N/A
Genetic reagent (D. melanogaster) GH146-QF Potter et al., 2010 RRID:BDSC_30015
Genetic reagent (D. melanogaster) TubP-QS Potter et al., 2010 RRID:BDSC_30022
Genetic reagent (D. melanogaster) QUAS-mCD8-GFP Potter et al., 2010 RRID:BDSC_30001
Genetic reagent (D. melanogaster) QUAS-mCherry-Rab7 This paper N/A
Genetic reagent (D. melanogaster) UAS-mCherry-Rab7 This paper N/A
Genetic reagent (D. melanogaster) UAS-2xFYVE-mCherry McLaughlin et al., 2026 N/A
Genetic reagent (D. melanogaster) Rab7GAL4-KO Cherry et al., 2013 N/A
Genetic reagent (D. melanogaster) MZ19-GAL4 Ito et al., 1998 RRID:BDSC_34497
Genetic reagent (D. melanogaster) UAS-FRT10-stop-FRT10-3xHalo7-CAAX Wong et al., 2023 N/A
Genetic reagent (D. melanogaster) 71B05-GAL4 Jenett et al., 2012 N/A
Antibody Chicken polyclonal anti-GFP Aves Labs Inc RRID:AB_10000240 (1:1000 in 5% normal donkey serum)
Antibody Rat monoclonal anti-NCad (DN-Ex #8) Developmental Studies Hybridoma Bank RRID:AB_528121 (1:40 in 5% normal donkey serum)
Antibody Rabbit polyclonal anti-DsRed ClontechTakara RRID:AB_10013483 (1:1000 in 5% normal donkey serum)
Antibody Mouse monoclonal anti-bruchpilot (nc82) Developmental Studies Hybridoma Bank RRID:AB_2314866 (1:100 in 5% normal donkey serum)
Antibody Rat monoclonal anti-mCherry (16D7) Thermo Fisher RRID:AB_2536611 (1:500 in 5% normal donkey serum)
Antibody Alexa Fluor 488 AffiniPure Donkey Anti-Chicken Jackson Immunoresearch RRID:AB_2340375 (1:200 in 5% normal donkey serum)
Antibody Cy3 AffiniPure Donkey Anti-Rabbit Jackson Immunoresearch RRID:AB_2307443 (1:200 in 5% normal donkey serum)
Antibody Alexa Fluor 647 AffiniPure Donkey Anti-Rat Jackson Immunoresearch RRID:AB_2340694 (1:200 in 5% normal donkey serum)
Antibody AMCA AffiniPure Donkey Anti-Mouse Jackson Immunoresearch RRID:AB_2340806 (1:200 in 5% normal donkey serum)
Antibody DyLight 405 AffiniPure Donkey Anti-Rat Jackson Immunoresearch RRID:AB_2340681 (1:200 in 5% normal donkey serum)
Software, algorithm ZEN Carl Zeiss RRID:SCR_013672
Software, algorithm Fiji National Institutes of Health RRID:SCR_002285
Software, algorithm SNT Arshadi et al., 2021 N/A
Software, algorithm Illustrator Adobe RRID:SCR_010279
Software, algorithm Photoshop Adobe RRID:SCR_014199
Software, algorithm Imaris Oxford Instruments RRID:SCR_007370 http://www.bitplane.com/imaris/imaris
Software, algorithm R Project for Statistical Computing N/A RRID:SCR_001905 http://www.r-project.org/

Drosophila stocks and husbandry

Flies were maintained on standard cornmeal media with a 12-hr light–dark cycle at 25°C, except for overexpression crosses which were raised at 29°C. The strains used are described in the Key Resources Table, and complete genotypes for flies used in each figure are in Supplementary file 1.

Generation of UAS/QUAS constructs and transgenic flies

The UAS-mCherry-Rab7 and QUAS-mCherry-Rab7 constructs were synthesized and cloned by Twist Biosciences into a 10x pUASt-attB vector or 10x QUAS-attB vector. The mCherry tags are N-terminal to preserve Rab function. The construct was validated by full-length plasmid sequencing and injected into embryos with an attP40 insertion site. G0 flies were crossed to a white– balancer, and all white+ progeny were individually balanced. Flies were injected in-house using standard microinjection methods.

Immunofluorescence staining and confocal microscopy

Fly brains were dissected according to a previously published protocol (Wu and Luo, 2006). In brief, brains were dissected in PBS, transferred to a tube containing 4% paraformaldehyde in PBST (0.3% Triton X-100), and fixed for 20 min while nutating at RT. Following fixation, brains were washed three times for 20 min in PBST and blocked for at least 30 min in PBST + 5% normal donkey serum. The following antibodies were used: rat anti-Ncad (Developmental Studies Hybridoma Bank [DSHB]; 1:40), chicken anti-GFP (Aves Labs; 1:1000), rabbit anti-dsRed (Takara Bio; 1:1000), mouse anti-bruchpilot (DSHB; 1:100), mouse anti-mCherry (Thermo Fisher Scientific; 1:1000), and incubated with brains in block buffer overnight at 4°C while nutating. Brains were subsequently washed three times for 20 min in PBST and incubated in secondary antibodies (Alexa Fluor 488; Alexa Fluor 564; Alexa Fluor 647; 1:200) overnight at 4°C while nutating. Brains were again washed three times for 20 min in PBST, transferred to SlowFade antifade reagent (Thermo Fisher), and stored at 4°C prior to mounting.

Image acquisition and processing

Images were obtained on a Zeiss LSM900 laser-scanning confocal microscope (Carl Zeiss) using either a 40x oil immersion objective (dendrite targeting and axon morphology experiments) or a 63x oil immersion objective (Airyscan experiments). 16-bit z-stacks for dendrite targeting and axon morphology experiments were acquired at 1 µm intervals at a resolution of 1024 × 1024. Airyscan images were taken at software optimized resolution and intervals. Brightness and contrast adjustments as well as image cropping were done using Photoshop or Illustrator (Adobe).

DN screen

Virgin Drosophila females with the genotype VT033006-GAL4, GMR86C10-LexA>LexAop-mtdTomato, Or98a-mCD8::GFP, Or92a-CD2 were crossed with UAS-RabX-DN males to express GDP-locked DN Rabs in VT-GAL4 PNs, and the progeny were kept at 25°C for 2–5 days following egg laying and then transferred to 29°C to enhance transgene expression. Brains were dissected, processed, and imaged as described above. See Supplementary file 1 for complete genotypes.

For this analysis, we identified glomeruli using NCad labeling (based on the stereotypy of their size, shape, and positions). VM5d/v PNs were monitored through the expression of mtdTomato using the GMR86C10-LexA driver, and dendrite targeting was categorized by the presence or absence of mistargeting to ectopic glomeruli. Dendrite targeting analysis was performed blinded to genotype when possible. Fisher’s exact test was performed on mistargeting frequencies to determine statistical significance compared to controls. p-values were adjusted using the Benjamini–Hochberg procedure.

MARCM-based clonal analyses

Clonal analyses using MARCM and Q-MARCM (MARCM using the Q system) have been previously described (Potter and Luo, 2011; Wu and Luo, 2006). Each fly contains a hsFLP122 recombinase, GH146-GAL4 (PN GAL4) or GH146-QF (PN QF), TubP-Gal80 or TubP-QS, UAS-mCD8-GFP or QUAS-mCD8-GFP, the desired FRT, and either wild-type or a mutant allele distal to the FRT site; flies for the Rab11 rescue experiments also included a UAS-mCherry-Rab11, and flies for the Rab7 rescue experiments included a QUAS-mCherry-Rab7 (see Supplementary file 1 for complete genotypes). To generate adPN neuroblast, DL1 single-cell, DA1 neuroblast, and VA1d/DC3 neuroblast clones, flies were heat shocked for 1 hr at 37°C at 0–24 hr after larval hatching. Brains were dissected and processed as described above. We identified glomeruli using NCad labeling and categorized the extent of innervation into each glomerulus (not innervated; weakly innervated; moderately innervated; strongly innervated). Analysis was performed blinded to experimental manipulation. For each glomerulus, we calculated the frequency of each type of innervation and plotted the results as stacked bar charts. Fisher’s exact test was performed on innervation frequencies in each glomerulus, using counts for wild-type levels of innervation (strong if innervation is expected and none if innervation is not expected in wild-type) vs. non-wild-type levels of innervation, to determine statistical significance compared to controls. p-values were adjusted using the Benjamini–Hochberg procedure.

Image analysis and quantification

Microscopy images were processed and analyzed using ImageJ tools. Dendrite glomerular innervation was measured using the area measuring tool where the area of each DL1 glomerulus was measured using NCad staining and compared to the area of GFP-positive dendrites within that glomerulus. Bouton diameter was measured by drawing a line across the widest part of each bouton and measuring the length using the length measuring tool. Axon branches were traced and measured using Semi-automated Tracing on GFP-positive axons in the Simple Neurite Tracer (SNT) plugin (Arshadi et al., 2021) to quantify branch numbers and lengths. All analyses were performed blinded to genotype.

Volume renderings were created using Imaris10 (Oxford Instruments); Airyscan super-resolution images (Carl Zeiss) were imported, and the Surfaces tool was used to model the membrane of GFP-positive dendrites and axons as well as mask the puncta channel. The Surfaces tool was used to model puncta with the masked puncta channel, and the Spots tool was used to quantify the number of puncta. Thresholds were set manually.

Statistical analysis

Statistical comparisons were performed as such: Fisher’s exact test was used for categorical data between two groups (e.g., mistargeting, neuroblast glomerular innervation); Fisher–Freeman–Halton test was used for categorical data between three groups (e.g., mistargeting between controls, mutants, and rescues). Mann–Whitney U test was used to compare quantitative data between two groups (e.g., bouton diameter between controls and mutants); Kruskal–Wallis test and Dunn’s test post hoc were used to compare quantitative data between three groups (e.g., bouton diameter between controls, mutants, and rescues). The numbers of independent replicates per experiment are indicated in the figures or legends. p-values were adjusted using the Benjamini–Hochberg procedure. Experiments were replicated at least twice.

Acknowledgements

We are grateful to C Taylor and J Kalai for their helpful feedback on this manuscript. We thank members of the Luo lab and E Theisen, L Jane, and Z Cook for support, insight, and feedback on this study. B He (Dartmouth College), R Hiesinger (Freie Universität Berlin), Addgene, Bloomington Drosophila Stock Center, Vienna Drosophila Stock Center, and Best Gene provided critical reagents. We appreciate the administrative assistance from M Molacavage. CNM was a HHMI fellow of the Damon Runyon Cancer Research Foundation (DR-2390-20). LL is a HHMI investigator. This work was supported by the National Institutes of Health (R01-DC005982 to LL and K99-DC021195 to CNM).

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

Liqun Luo, Email: lluo@stanford.edu.

Colleen N McLaughlin, Email: cnm@stanford.edu.

P Robin Hiesinger, Institute for Biology Free University Berlin, Germany.

Claude Desplan, New York University, United States.

Funding Information

This paper was supported by the following grants:

  • National Institute on Deafness and Other Communication Disorders R01-DC005982 to Liqun Luo.

  • National Institute on Deafness and Other Communication Disorders K99-DC021195 to Colleen N McLaughlin.

  • Howard Hughes Medical Institute to Liqun Luo.

  • Damon Runyon Cancer Research Foundation DR-2390-20 to Colleen N McLaughlin.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Formal analysis, Investigation, Visualization, Writing – review and editing.

Investigation.

Resources, Writing – review and editing.

Resources, Writing – review and editing.

Supervision, Funding acquisition, Writing – review and editing.

Conceptualization, Supervision, Investigation, Writing – original draft, Writing – review and editing.

Additional files

Supplementary file 1. Complete list of genotypes used in this study.
elife-109394-supp1.docx (15.7KB, docx)
Supplementary file 2. Complete statistical analysis for Rab7 mutant adPN neuroblast clones, related to Figure 6—figure supplement 1.
Supplementary file 3. Complete statistical analysis for Rab11 mutant adPN neuroblast clones, related to Figure 7, Figure 7—figure supplement 1.
elife-109394-supp3.docx (19.8KB, docx)
MDAR checklist

Data availability

This work did not generate any new datasets. Single-cell/nucleus RNA-sequencing data found in Figure 1 and related figure supplements are available from: Xie et al., 2021 https://doi.org/10.7554/eLife.63450, McLaughlin et al., 2021 https://doi.org/10.7554/eLife.63856.

The following previously published datasets were used:

Xie Q. 2021. Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons. NCBI Gene Expression Omnibus. GSE161228

Horns F. 2017. Classifying Drosophila OlfactoryProjection Neuron Subtypes bySingle-cell RNA Sequencing. NCBI Gene Expression Omnibus. GSE100058

McLaughlin C. 2021. Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila. NCBI Gene Expression Omnibus. GSE162121

Li H. 2020. Single-cell transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting. NCBI Gene Expression Omnibus. GSE143038

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eLife Assessment

P Robin Hiesinger 1

This valuable paper by Dong et al. describes an analysis of mutant phenotypes of the Rab GTPases Rab5, Rab7 and Rab11 in Drosophila second order olfactory neuron development. The revised version presents a convincing characterization and comparison of the different Rab mutants on projection neuron development, with clear differences for the three Rabs and by inference for the early, late and recycling endosomal functions executed by each.

Reviewer #1 (Public review):

Anonymous

Summary:

Dong et al. present an in-depth analysis of mutant phenotypes of the Rab GTPases Rab5, Rab7, and Rab11 in Drosophila second-order olfactory neuron development. These three Rab GTPases are amongst the best-characterized Rab GTPases in eukaryotes and have been associated with major roles in early endosomes, late endosomes, and recycling endosomes, respectively. All three have been investigated in Drosophila neurons before; however, this study provides the most detailed characterization and comparison of mutant phenotypes for axonal and dendritic development of fly projection neurons to date. In addition, the authors provide excellent high-resolution data on the distribution of each of the three Rabs in developmental analyses.

Strengths:

The strength of the work lies in the detailed characterization and comparison of the different Rab mutants on projection neuron development, with clear differences for the three Rabs and by inference for the early, late, and recycling endosomal functions executed by each.

Comments on revised version.

The authors conducted extensive revision experiments, especially to characterize developmental defects. Efforts to identify cargoes were not successful. The evidence is now convincing.

Reviewer #2 (Public review):

Anonymous

Summary:

This study by Dong et al characterizes the roles of highly-expressed Rab GTPases Rab5, Rab7 and Rab11 in the development and wiring of olfactory projection neurons in Drosophila. This convincing descriptive study provides complementary approaches of Rab expression and localization profiling, conventional dominant negative mutants, and clonal loss of function mutants to address the roles of different endosomal trafficking pathways across circuit development. They show distinct distributions and phenotypes for different Rabs. Overall, the study sets the stage for future mechanistic studies in this well-defined central neuron.

Strengths:

Beautiful imaging in central neurons demonstrates differential roles of 3 key Rab proteins in neuronal morphogenesis as well as interesting patterns of subcellular endosome distribution. These descriptions will be critical for future mechanistic studies. The manuscript is well-written and explanatory, very accessible to a wide audience without sacrificing technical accuracy.

Comments on revised version.

The paper is greatly improved with new data and better-nuanced interpretation. The clarity of explanations for a non-Drosophila reader have been redone particularly well.

Reviewer #3 (Public review):

Anonymous

Summary:

The authors aimed at a comprehensive phenotypic characterization of the roles of all Rab proteins expressed in PN neurons in developing Drosophila olfactory system. Important data are shown for a number of these Rabs with small/no phenotypes (in the Supplements) as well as the main endosomal Rabs, Rab5, 7, and 11 in the main figures.

Strengths:

The mosaic analysis is a great strength allowing visualization of small clones or single neuron morphologies. This also allows some assessment of cell autonomy of the observed phenotypes. The impact of the work lies in the comprehensiveness of the experiments. The rescue experiments are a strength. The added developmental data strengthen the impact of the paper.

Weaknesses:

The main weakness is that the experiments do not address the mechanisms that are affected by the loss of these Rab proteins, especially in terms of the most significant cargos. The insights thus do not extend far beyond what is already known from other work in many systems.

eLife. 2026 Oct 13;14:RP109394. doi: 10.7554/eLife.109394.3.sa4

Author response

Katherine X Dong 1, Yanbo Zhang 2, Hui Ji 3, David J Luginbuhl 4, Liqun Luo 5, Colleen N McLaughlin 6

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

Public Reviews:

Reviewer #1 (Public review):

Summary:

Dong et al. present an in-depth analysis of mutant phenotypes of the Rab GTPases Rab5, Rab7, and Rab11 in Drosophila second-order olfactory neuron development. These three Rab GTPases are amongst the bestcharacterized Rab GTPases in eukaryotes and have been associated with major roles in early endosomes, late endosomes, and recycling endosomes, respectively. All three have been investigated in Drosophila neurons before; however, this study provides the most detailed characterization and comparison of mutant phenotypes for axonal and dendritic development of fly projection neurons to date. In addition, the authors provide excellent high-resolution data on the distribution of each of the three Rabs in developmental analyses.

Strengths:

The strength of the work lies in the detailed characterization and comparison of the different Rab mutants on projection neuron development, with clear differences for the three Rabs and by inference for the early, late, and recycling endosomal functions executed by each.

Weaknesses:

Some weakness derives from the fact that Rab5, Rab7, and Rab11 are, as acknowledged by the authors, somewhat pleiotropic, and their actual roles in projection neuron development are not addressed beyond the characterization of (mostly adult) mutant phenotypes and developmental expression.

We would like to thank Reviewer #1 for their appreciation of our characterization of distinct Rab mutants.

Reviewer #2 (Public review):

Summary:

This study by Dong et al. characterizes the roles of highly-expressed Rab GTPases Rab5, Rab7, and Rab11 in the development and wiring of olfactory projection neurons in Drosophila. This convincing descriptive study provides complementary approaches to Rab expression and localization profiling, conventional dominantnegative mutants, and clonal loss-of-function mutants to address the roles of different endosomal trafficking pathways across circuit development. They show distinct distributions and phenotypes for different Rabs. Overall, the study sets the stage for future mechanistic studies in this well-defined central neuron.

Strengths:

Beautiful imaging in central neurons demonstrates differential roles of 3 key Rab proteins in neuronal morphogenesis, as well as interesting patterns of subcellular endosome distribution. These descriptions will be critical for future mechanistic studies. The cell biology is well-written and explanatory, very accessible to a wide audience without sacrificing technical accuracy.

Weaknesses:

The Drosophila manipulations require more explanation in the main text to reach a wide audience.

We appreciate Reviewer #2’s analysis of our work and thank them for their suggestions to improve the clarity of our manuscript.

Reviewer #3 (Public review):

Summary:

The authors aimed at a comprehensive phenotypic characterization of the roles of all Rab proteins expressed in PN neurons in the developing Drosophila olfactory system. Important data are shown for a number of these Rabs with small/no phenotypes (in the Supplements) as well as the main endosomal Rabs, Rab5, 7, and 11 in the main figures.

Strengths:

The mosaic analysis is a great strength, allowing visualization of small clones or single neuron morphologies. This also allows some assessment of the cell autonomy of the observed phenotypes. The impact of the work lies in the comprehensiveness of the experiments. The rescue experiments are a strength.

Weaknesses:

The main weakness is that the experiments do not address the mechanisms that are affected by the loss of these Rab proteins, especially in terms of the most significant cargos. The insights thus do not extend far beyond what is already known from other work in many systems.

We thank this reviewer for their feedback and appreciation of our genetic manipulations.

Recommendations for the authors:

Reviewing Editor Comments:

Consensus suggestions after discussion of all three reviewers:

All three reviewers agree that the morphological and phenotypic analysis of the fly olfactory neurons is a strength of the manuscript. The shared perceived weakness is that the experiments do not address the mechanisms that are affected by the loss of these Rab proteins, especially in terms of the most significant cargos; the findings are in line with a large body of literature.

The three reviewers feel that the manuscript could be strengthened greatly by adding data on an actual cargo (cell surface proteins?) and a more detailed analysis of the actual developmental origin (what happens when during axon and dendrite development) with respect to sorting of such cargo in the neurons they analyzed.

We appreciate the time and effort of all three of our reviewers and share their interest in both identifying Rab-regulated cargos as well as determining the developmental origins of the Rab phenotypes. We have added three additional main figures (new Figure 4, Figure 8, and Figure 9), two supplemental figures (Figure 1—figure supplement 1 and 2), two additional supplemental tables (Table S2 and S3), and five additional panels (in Figure 3 H–L) of mutant developmental phenotype analysis.

Regarding cargos, we also share the reviewers’ desire to identify cargos regulated by each Rab and made attempts to do so but were ultimately unable to achieve this goal. The main obstacles to this were: (1) it is not known which cell-surface proteins are most robustly endocytosed in PNs; without this knowledge it is difficult to identify candidates whose localization would predominantly reflect endosomal rather than plasma membrane distribution, making it challenging to detect changes in compartment-specific localization upon Rab perturbation; (2) reagents to evaluate cell-surface proteins in PNs are not cell-type-specific making it difficult to evaluate changes in their distribution in PNs; (3) tagged overexpressed proteins are either unavailable or expressed at levels too high to sensitively detect changes in their distribution. We have elaborated on each of these points below and feel that cargo identification, while an important future direction, is beyond the scope of the present study.

Recommendations for the authors:

Reviewer #1 (Recommendations for the authors):

There are a number of experiments and ideas that the authors might consider to further improve on this work.

(1) The idea, introduced by the authors in the introduction, that Rab-mediated recycling of cell surface proteins back to the membrane versus degradation is, of course, excellent and interesting. It is less clear how this applies to the present study. The functions of Rab5, Rab7, and Rab11 are so widespread, potentially affecting many signaling roles resulting in primary or secondary effects on membrane and even cytoskeletal regulation, that it remains unclear whether the mutant phenotypes are related to the recycling or degradation of cell surface receptors. To link the idea to experimentation, the authors have an excellent opportunity in their system to look at endogenously tagged cell surface proteins (or at least one example), many of which the Luo lab has characterized in these neurons, to minimally correlate cell surface protein defects to the observed developmental defects.

We understand this critique and share this reviewer’s interest in identifying the specific cargos regulated by each Rab during development. We attempted to use antibodies to evaluate changes in cell-surface protein localization in response to disrupting individual Rabs but were unable to reliably distinguish shifts in association with specific endosomal compartment as many available antibodies label cell-surface proteins expressed in antennal lobe cells beyond projection neurons (such as olfactory receptor neurons, glia, or local interneurons) which complicates analyses.

Additionally, although we have, in other work, generated multiple 'flp-on' tags for PN cell-surface proteins, these cannot be used in combination with the MARCM system, as it relies on a heat-shock-inducible flp to label singlePN clones. Heat shock would simultaneously induce tag expression in other cells expressing the tagged gene, preventing PN-type-specific detection. This incompatibility thus prevents us from simultaneously perturbing individual Rabs and tracking corresponding changes in surface-protein localization with single-cell resolution.

Moreover, for proteins that are not highly endocytosed, it is difficult to separate plasma-membrane from endosomal localization, and we currently do not know which cell-surface proteins are most robustly endocytosed in PNs. Thus, while we share the reviewer’s interest in identifying candidate cargos, technological limitations make it difficult to achieve this goal within the scope of the current study.

(2) The mutant phenotypes are mostly characterized based on adult outcomes. Maybe a little more can be learned about when and how Rab5, Rab7, or Rab11 function is locally required by characterizing the developmental processes that lead to, e.g., aberrant dendritic development in Rab5 and Rab11.

We also feel that charting the developmental origins of Rab mutant phenotypes is important. Prior to mid-pupal stage (around 48 hours after puparium formation), glomeruli in the antennal lobe have not yet assumed their stereotyped positions, which complicates analyses and interpretation; thus, many of our analyses are conducted at the adult stage. For Rab11 mutants we did perform many developmental analyses to evaluate the origins of the axonal development (Figure 6—figure supplement 1) and dendrite elaboration phenotypes (Figure 5 J–L) we observed at the adult stage. We realize that the developing axonal analyses were in supplemental material where they could be missed. We have moved these data to the main figures (Figures 8 and 9) and emphasized these analyses. Further, we extended our Rab5 mutant analyses to evaluate developmental phenotypes (Figure 3H– L and Figure 4). We believe that these new analyses have strengthened the manuscript.

(3) Regarding the subcellular localization analyses: a collection of endogenously tagged Rabs in Drosophila has been generated by Dunst et al. (2015), which is surprisingly not cited. Maybe the authors could consider looking at the endogenous localization of Rabs using the tagged version in parallel to their overexpressed tagged versions.

We have now cited and discussed this paper (line 82) and thank the reviewer for pointing out this omission. We previously attempted to evaluate these endogenously tagged Rab proteins in PNs; however, since PN dendrites project into the antennal lobe, a dense neuropil region containing PN dendrites, ORN axons, glial processes, and neurites of local interneurons, we are unable to resolve individual Rab puncta from cytosolic (non-vesicle associated Rabs) or evaluate Rab localization in a cell-type-specific manner. For this reason, we focused on evaluating the localization of tagged Rab proteins from UAS-transgenes using a MARCM rescue strategy. We directly addressed this in the text (starting on line 83).

(4) It is maybe not entirely surprising that Rab5 and Rab11 have the strongest phenotypes, as these have been implicated in early and recycling endosomal processes in basically all eukaryotic cells with major implications for signaling throughout development and function, often causing cell death (and in the case of Rab5, tumorigenic phenotypes in flies). By contrast, the Drosophila brain can develop in the absence of Rab7 (Cherry et al., 2013; also the reference for the Rab7 null mutant, not Chan et al., 2011). A key concern in any developing fly cell rendered mutant using clonal analysis is the perdurance of RNA or protein (ultimately even maternal contribution), which could be addressed by discussion or experimentally.

We thank the reviewer for pointing out our citation error, which we have now corrected.

However, we note that Cherry et al. (2013) found that loss of Rab7 causes pupal lethality at stages prior to completion of 50–80% of development and can also cause embryonic lethality when maternal Rab7 contribution is blocked. This indicates that the whole organism cannot fully develop in the absence of Rab7. And while Cherry and colleagues did evaluate overall brain morphology in Rab7 mutant pupae, they did not look at the development of individual cell types. So, it is still unclear how loss of this GTPase affects the development of individual central nervous system neurons.

Thus, to understand whether Rab7 has functions in PN development, we used the QMARCM system to perform Rab7 LOF analyses in PN clones. While we did not observe any phenotypes in single-cell MARCM clones (Figure 6), we did see mild defects in neuroblast clones (Figure 6—figure supplement 1A–C). Since single-cell MARCM clones are more susceptible to RNA/protein perdurance, we further evaluated Rab7 function by expressing a Rab7 dominant-negative transgene in DL1-PNs using a DL1-specific GAL4 driver (Figure 6—figure supplement 2), which circumvents potential perdurance issues mentioned by this reviewer. Importantly, this same transgene produces dendrite targeting defects when expressed in all PNs (Figure 1I), confirming its efficacy. However, no phenotypes were observed when expression was restricted to DL1-PNs, suggesting that Rab7 may not be required in DL1-PNs for their dendrite targeting. Given that both Rab7 mutant neuroblast clones and pan-PN expression of Rab7 dominant negative causes PN dendrite targeting defects we conclude that Rab7 is nonautonomously required for dendrite targeting of DL1-PNs.

We have softened our language with regards to the Rab7 analysis and have emphasized, and strengthened, our previous discussion of these points beginning on line 268 in the results section and on line 427 of the discussion.

Reviewer #2 (Recommendations for the authors):

(1) In Figure 1B, it would be useful to show the circuit over multiple developmental stages, rather than just in its final form.

We have added this to Figure 1; it is now panel C. Thank you for this suggestion.

(2) Expression analysis of Rabs in Figure 1C - how do these levels and ratios compare to the whole brain? Whole body?

Unfortunately, we are unable to evaluate how Rab expression in PNs compares to all other cells in the brain as there is no sequencing data available for this organ at this time point. We did compare the expression of endosomal Rabs between PNs and their presynaptic targets, ORNs. We found that many Rabs displayed similar expression patterns between these two cell types during development. We have added a new paragraph on this, beginning on line 100 and we added two additional supplemental figures (Figure 1—figure supplement 1 and 2).

(3) The authors should include at least a few sentences comparing the current approach and results to previous comprehensive Rab protein expression analysis, for example, in PMID 17409086, 22000105, 22844416, and 33666175.

Thank you for pointing out this omission, we have amended it beginning on line 82.

(4) For the non-Drosophila reader (for example, a cell biologist working on endosomal traffic in cultured neurons), the paper is less accessible. Some examples:

We thank this reviewer for their suggestions for ways to clarify our work for the non-Drosophila reader. We have addressed each of their points.

(a) The severity difference between Rab5, Rab11, Rab7 and Rab4, Rab 21, Rab35 isn't immediately obvious from the images to someone who doesn't work with this system - does the brightness of the ectopic growths indicate the number of ectopically grown processes? It might help to have half a sentence to make this difference more accessible for the readers who aren't familiar with this system.

We have clarified this beginning on line 112.

(b) Figures 1D-E require more extensive description of the experimental setup with orthogonal expression systems than is provided briefly in the cartoon, figure legend, and supplement. For example, it should be noted what white vs blue represents in the marked glomeruli.

We have clarified this point beginning on line 114.

(c) There should be at least one sentence introducing what is marked and what it means when MARCM clones are first shown in Figure 2B, in addition to the supplemental figure.

We have added a detailed explanation of MARCM on line 155.

(d) It's not clear to a non-expert what the meaning is of no innervation of non-adPN glomeruli in wild-type in Figure 2E. This requires a sentence of explanation.

We have added additional details about this on line 159 and 169.

(e) Can a control image be shown for the experiment in 3B?

We have added an additional set of control images in Figure 3B on the left.

(5) The experiment measuring axonal projection to the lateral horn in Rab5 clones in Figure 3 J-L is underpowered (n=3 for mutant). While this may be due to the frequency of an overall projection defect as shown in Figure 3B, it makes it difficult to assess the robustness of the terminal phenotype. Further, for clarity, similar measurements (e.g., bouton width) should be aligned vertically between E-G and J-L.

We have performed additional analyses on Rab5 axons in the lateral horn and added them to a new Figure 4. The n’s are now n=10 for controls and n=7 for Rab5 mutants. Additionally, we have aligned similar measurements in the figure panels and standardized the axes of each graph so that it is easier to compare between developmental stages.

(6) The argument that cell-type-specific phenotypes are due to distinct cargoes is weak. The same cargo could have different functions or signaling properties in different cell types (e.g., "Taken together, the distinct branching phenotypes observed in the mushroom body versus lateral horn suggest that Rab5 may regulate the trafficking of a distinct set of cargos in each axonal compartment"). Similarly, this argument is just one of many possibilities, as the effect could be quite indirect (eg via mis-regulated signal transduction): "Yet, the terminal boutons in Rab5 mutants were nearly 2-fold larger than those of controls (Figure 3G), suggesting Rab5 regulates the trafficking of cell-surface proteins that normally restrain bouton growth " and "Page 12 "Rab7mediated degradation does not have a major role in regulating axon or dendrite development" - should be softened since Rab7 may easily play an important but redundant role.

We have made all of these changes and removed references to trafficking of specific CSPs.

(7) Statistics need to be added to: Figure 3B, Figure 5D-E, Figure 2 - figure supplement 1C, Figure 4 - figure supplement 1E, F, Figure 5 - figure supplement 1A, E, Figure 6 - figure supplement 1K.

We thank this reviewer for pointing out this omission, we have added statistical measurements to our graphs.

As to not visually overwhelm readers with statistical measurements on already dense graphs (such as Figure 7B), we have added two supplemental tables (Table S2 and S3) that display all the results of all of the comparisons performed in the statistical tests.

We have cited this table in the figure legends and in-text figure references.

In addition to the methods, we have also added the exact statistical test and post-hoc tests (when applicable) to the figure legends.

(8) The BSDC identifier for the UAS-Rab11-mCherry stock may be incorrect.

It appears that some of the values in the ‘Identifiers’ column of the Key Resources table shifted downward. We have fixed this and appreciate that the reviewer pointed this out.

Associated Data

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

    Data Citations

    1. Xie Q. 2021. Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons. NCBI Gene Expression Omnibus. GSE161228 [DOI] [PMC free article] [PubMed]
    2. Horns F. 2017. Classifying Drosophila OlfactoryProjection Neuron Subtypes bySingle-cell RNA Sequencing. NCBI Gene Expression Omnibus. GSE100058
    3. McLaughlin C. 2021. Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila. NCBI Gene Expression Omnibus. GSE162121 [DOI] [PMC free article] [PubMed]
    4. Li H. 2020. Single-cell transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting. NCBI Gene Expression Omnibus. GSE143038 [DOI] [PMC free article] [PubMed]

    Supplementary Materials

    Figure 1—source data 1. Quantification of phenotypes presented in Figure 1 and related figure supplements.
    Figure 2—source data 1. Quantification of phenotypes presented in Figure 2.
    Figure 3—source data 1. Quantification of data presented in Figure 3.
    Figure 4—source data 1. Quantification of data presented in Figure 4.
    Figure 6—source data 1. Quantification of data presented in Figure 6 and related figure supplements.
    Figure 7—source data 1. Quantification of data presented in Figure 7 and related figure supplements.
    Figure 8—source data 1. Quantification of data presented in Figure 8.
    Figure 9—source data 1. Quantification of data presented in Figure 9.
    Supplementary file 1. Complete list of genotypes used in this study.
    elife-109394-supp1.docx (15.7KB, docx)
    Supplementary file 2. Complete statistical analysis for Rab7 mutant adPN neuroblast clones, related to Figure 6—figure supplement 1.
    Supplementary file 3. Complete statistical analysis for Rab11 mutant adPN neuroblast clones, related to Figure 7, Figure 7—figure supplement 1.
    elife-109394-supp3.docx (19.8KB, docx)
    MDAR checklist

    Data Availability Statement

    This work did not generate any new datasets. Single-cell/nucleus RNA-sequencing data found in Figure 1 and related figure supplements are available from: Xie et al., 2021 https://doi.org/10.7554/eLife.63450, McLaughlin et al., 2021 https://doi.org/10.7554/eLife.63856.

    The following previously published datasets were used:

    Xie Q. 2021. Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons. NCBI Gene Expression Omnibus. GSE161228

    Horns F. 2017. Classifying Drosophila OlfactoryProjection Neuron Subtypes bySingle-cell RNA Sequencing. NCBI Gene Expression Omnibus. GSE100058

    McLaughlin C. 2021. Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila. NCBI Gene Expression Omnibus. GSE162121

    Li H. 2020. Single-cell transcriptomes Reveal Diverse Regulatory Strategies for Olfactory Receptor Expression and Axon Targeting. NCBI Gene Expression Omnibus. GSE143038


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