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Chemosensory sensilla of the Drosophila wing express a candidate ionotropic pheromone receptor

  • Zhe He ,

    Contributed equally to this work with: Zhe He, Yichen Luo

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America

  • Yichen Luo ,

    Contributed equally to this work with: Zhe He, Yichen Luo

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – review & editing

    Affiliation Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America

  • Xueying Shang,

    Roles Formal analysis, Investigation, Validation, Visualization, Writing – review & editing

    Affiliation Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America

  • Jennifer S. Sun,

    Roles Investigation, Methodology, Writing – review & editing

    Affiliation Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America

  • John R. Carlson

    Roles Conceptualization, Formal analysis, Funding acquisition, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing

    john.carlson@yale.edu

    Affiliation Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America

Chemosensory sensilla of the Drosophila wing express a candidate ionotropic pheromone receptor

  • Zhe He, 
  • Yichen Luo, 
  • Xueying Shang, 
  • Jennifer S. Sun, 
  • John R. Carlson
PLOS
x

Abstract

The Drosophila wing was proposed to be a taste organ more than 35 years ago, but there has been remarkably little study of its role in chemoreception. We carry out a differential RNA-seq analysis of a row of sensilla on the anterior wing margin and find expression of many genes associated with pheromone and chemical perception. To ask whether these sensilla might receive pheromonal input, we devised a dye-transfer paradigm and found that large, hydrophobic molecules comparable to pheromones can be transferred from one fly to the wing margin of another. One gene, Ionotropic receptor (IR)52a, is coexpressed in neurons of these sensilla with fruitless, a marker of sexual circuitry; IR52a is also expressed in legs. Mutation of IR52a and optogenetic silencing of IR52a+ neurons decrease levels of male sexual behavior. Optogenetic activation of IR52a+ neurons induces males to show courtship toward other males and, remarkably, toward females of another species. Surprisingly, IR52a is also required in females for normal sexual behavior. Optogenetic activation of IR52a+ neurons in mated females induces copulation, which normally occurs at very low levels. Unlike other chemoreceptors that act in males to inhibit male–male interactions and promote male–female interactions, IR52a acts in both males and females, and can promote male–male as well as male–female interactions. Moreover, IR52a+ neurons can override the circuitry that normally suppresses sexual behavior toward unproductive targets. Circuit mapping and Ca2+ imaging using the trans-Tango system reveals second-order projections of IR52a+ neurons in the subesophageal zone (SEZ), some of which are sexually dimorphic. Optogenetic activation of IR52a+ neurons in the wing activates second-order projections in the SEZ. Taken together, this study provides a molecular description of the chemosensory sensilla of a greatly understudied taste organ and defines a gene that regulates the sexual circuitry of the fly.

Introduction

Taste, or contact chemoreception, allows insects to detect an immense variety of environmental cues [1]. These cues may signify the presence of nutrients, toxins, competitors, or mates [2]. A better understanding of insect chemoreception could lead to new means of controlling agricultural pests and disease vectors that inflict enormous global damage [3].

Drosophila melanogaster is an excellent model for the study of insect contact chemoreception. Taste organs of the fly contain sensilla that have a pore at the tip [4]. When a sensillum makes contact with the environment, chemical compounds diffuse through the pore and activate gustatory receptor (Gr) neurons within. Each sensillum is innervated by several gustatory neurons and often one mechanosensory neuron. Different taste neurons respond to different stimuli, such as sugars, bitter compounds, salts, water, acids, lipids, or pheromones [5].

There have been extensive studies of several Drosophila taste organs: the labellum (the major taste organ of the head), the legs, and the pharynx [1]. By contrast, the wing has been believed for more than 35 years to detect tastants but has received remarkably little attention as a taste organ [6]. The wing contains a row of approximately 40 curved sensilla on the anterior margin of each face of the wing. There is evidence to support a chemosensory function for these sensilla, but the data are limited [79].

Within the taste organs of the fly, several classes of receptors detect chemical stimuli. The D. melanogaster genome contains 60 Gr genes, which encode receptors that detect bitter compounds, sugars, and other classes of stimuli [10, 11]. A family of 60 Ionotropic receptors (IRs) includes a large clade expressed in taste organs [1221]. Among this clade are IR52c and IR52d, which are coexpressed in neurons of the male foreleg and are required for normal sexual behavior [15]; another IR, IR60b, is expressed in the pharynx and responds to sucrose [18]. Several members of the pickpocket (ppk) family are expressed in taste organs and have been implicated in pheromone recognition [1, 2227]. Certain transient receptor potential (Trp) receptors are also sensitive to tastants [2831].

One of the most fundamental problems in biology is how an animal identifies a suitable mating partner. Although a number of candidate pheromone receptors have been described in Drosophila, the number of candidate pheromones is much higher. The cuticular surface of the fly contains on the order of 50 hydrophobic hydrocarbons, some of which are transferred between male and female flies [3234]. A major goal in the field is to identify and characterize the receptors that control the operation of sexual circuits.

Here, we use a molecular approach to identify genes expressed in chemosensory sensilla of the wing. We carry out a differential RNA-seq analysis of wild-type wings and of mutant wings that lack chemosensory sensilla. The screen identifies a large number of chemosensory genes, including genes implicated in pheromone response. To test the possibility that pheromones from one fly are transmitted to the wing margin of another fly, we carry out dye transfer experiments and find transmission to the wing. Among the genes identified in the screen is IR52a. Genetic analysis reveals that it is required for male sexual behavior. Optogenetic silencing and activation of IR52a+ neurons show that they activate a circuit that drives male sexual behavior. Strikingly, activation of these neurons drives male sexual behavior not only toward D. melanogaster females but also toward males and toward females of another species. Finally, we find that IR52a is highly unusual in that it is required for normal female sexual behavior as well as male behavior.

Results

A differential RNA-seq analysis of chemosensory sensilla of the wing

We first examined the curved sensilla of the wing by electron microscopy to confirm that they contained the cardinal feature of a taste sensillum: a terminal pore through which tastants can enter. We examined a total of approximately 30 sensilla on three wings and observed pores (Fig 1A) comparable to those on other taste organs.

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Fig 1. Taste sensilla in the wing and RNA-seq screen of control and Poxn wings.

(A) Scanning electron microscope image of the tip of a chemosensory hair on the wing. Scale bar = 50 nm. (B) Anterior wing margin of a control wing (w Canton-S). Thin, curved chemosensory sensilla are indicated by arrowheads. (C) Anterior wing margin of Poxn. Chemosensory sensilla are missing; rather, sensilla that appear larger than their neighbors are observed (arrowheads). The larger sensilla may be mechanosensory. (D) Volcano plot of genes showing their relative transcript levels in Poxn and control wings. The x-axis indicates the log2 fold difference of FPKM for each gene. The y-axis indicates the P value of the difference. Blue dots indicate genes that are expressed at levels more than 4-fold higher in control than in Poxn and for which the difference is significant at P < 0.01 (adjusted P < 0.01, DESeq2 Wald test). Red dots indicate genes that are expressed at levels more than 4-fold higher in Poxn. Points at top of graph represent genes for which P values are extremely small. (E) Genes from the IR, Ppk, and Obp genes that show the most significant enrichment or depletion within their respective families. Color indicates log2 fold difference. (F) Gene ontology enrichment analysis of the top 100 genes that had more than a 4-fold increase in control as determined by P value. ***FDR < 0.001; ****FDR < 0.0001, PANTHER Overrepresentation Test. FDR, false discovery rate; FPKM, fragments per kilobase of transcript per million mapped reads; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.g001

To investigate the molecular organization of the chemosensory sensilla, we carried out a differential RNA-seq analysis. We hand-dissected a total of 24,000 wings, half from control flies and half from Poxn mutants that lack chemosensory sensilla on the wing (Fig 1B and 1C) [35]. We performed RNA-seq on three biological replicates from each genotype.

Applying a stringent criterion for differential expression (>4x enrichment and adjusted P < 0.01, DESeq2 Wald Test [36]), 650 transcripts were enriched in control wings, as expected for genes preferentially expressed in chemosensory sensilla (blue dots in Fig 1D). These transcripts include members of the IR and ppk receptor families (Fig 1E, S1 and S2 Figs, S1 Table). Members of the odorant binding protein (Obp) and chemosensory protein (CSP) family were also enriched (Fig 1E and S2 Fig); some members of the Obp and CSP families are expressed in taste sensilla of the labellum and leg in addition to olfactory sensilla on the antenna [3741]. The three IRs, ppks, and Obps that show the most statistically significant enrichments within each family are shown in Fig 1E. Conspicuously absent from the roster of genes enriched in wild-type wings were members of the Gr family (S1 Fig).

We carried out a gene ontology (GO) analysis of the 100 genes that are most significantly enriched in control wings according to p values. A number of these genes are annotated with the terms “sensory perception of chemical stimulus,” “detection of a chemical stimulus,” “response to pheromone,” and “detection of pheromone” (Fig 1F). These annotations occurred more frequently among the 100 most enriched wing genes than among the set of all Drosophila genes in Flybase with GO annotations (P < 0.001 in each of the four comparisons). These results are consistent with a chemosensory function for the wing sensilla.

We note the identification of 58 genes that, reciprocally, are enriched in the Poxn wing relative to control (Fig 1D, red dots; Fig 1E). There is evidence that in Poxn the chemosensory sensilla are transformed into mechanosensory sensilla [35, 42]. Consistent with such a transformation, the genes enriched in the Poxn wing include ppk, ppk26, and the Trp channel gene painless, all of which have been implicated in mechanoreception [4345]. An interesting corollary of these findings is that some of the remaining 55 genes in this set could play previously unknown roles in mechanoreception.

IR52a is expressed in the wing

Among the genes expressed at higher levels in the control wing than the Poxn wing was IR52a (Fig 2A). We confirmed the expression of IR52a in the wild-type wing through three additional means. First, reverse transcriptase PCR (RT-PCR) experiments detected IR52a in the wings of both males and females (Fig 2G and 2H). Second, quantitative PCR (qPCR) analysis with two primer pairs revealed IR52a expression in both male and female wings, with levels in males somewhat higher (S2 Fig; ratio = 1.3; P = 0.001, two-way ANOVA). Third, we confirmed and extended a previous finding that an IR52a-GAL4 construct is expressed in cells of the anterior wing margin (Fig 2B), with similar patterns in males and females (S4A and S4B Fig) [15]. More detailed analysis revealed that IR52a-GAL4 labels neurons that send dendrites into the chemosensory sensilla (Fig 2C). IR52a neurons send axons to the thoracic ganglia, where projections are visible in the wing neuropil; projections are also visible from sensilla on each of the three legs (S4C and S4D Fig)[15]. The wing neuropils of male and female appear similar, with no obvious commissure.

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Fig 2. IR52a is expressed in fru+ neurons of taste sensilla in the wing.

(A) FPKM of IR52a in control and Poxn. Error bars indicate SEM. ****P < 0.0001. (B) IR52a-GAL4; UAS-mCD8-GFP, showing expression in wing sensilla. mCD8-GFP is targeted to membranes. (C) IR52a-GAL4 labels neurons whose dendrites (arrowhead) project into the base of a chemosensory sensillum (empty double arrow) on the wing. Arrow, axons. Two neurons innervate the indicated sensillum; some sensilla are innervated by a single labeled neuron. (D–F) Male wing labeled in green by IR52a-GAL4/UAS-Stinger (a nuclear GFP), and in red by fru-LexA/LexAop-tomato-nls. (G–J) RT-PCR of IR52a and eIF1α, used as a positive control, in wings of D. melanogaster males (G) and females (H), and in wings of D. suzukii males (I) and females (J). FPKM, fragments per kilobase of transcript per million mapped reads; IR, ionotropic receptor; RT-PCR, reverse transcriptase PCR.

https://doi.org/10.1371/journal.pbio.2006619.g002

As a first step in investigating the functional significance of IR52a expression in the wing, we asked whether it is evolutionarily conserved. We carried out RT-PCR using RNA from the wing of Drosophila suzukii and found expression in wings of both males and females (Fig 2I and 2J). These results suggest that IR52a has been expressed in Drosophila wings for more than 25 million years.

The Fruitless (Fru) transcription factor specifies much of the circuitry that drives male sexual behavior [4648]. Most of the wing neurons that express IR52a-GAL4 were also observed to express fru (Fig 2D–2F, S5 Fig). This coexpression suggests the intriguing possibility that chemosensory sensilla in the wing play a role in sexual behavior.

The wing receives hydrophobic compounds from another fly

Could large hydrophobic fly pheromones of limited volatility be transferred from one fly to the wing margin of another fly? To test this possibility, we used a large hydrophobic fluorescent compound that can be easily visualized: Nile Red (molecular weight (mw) 318 Da; for comparison, the pheromone 7-tricosene has an mw of 323 Da). We placed this dye on filter paper at the bottom of a chamber and placed flies in the chamber for 30 min, during which time they became labeled (Fig 3A and S6 Fig). We then placed labeled flies in a clean chamber with an unlabeled fly and asked whether any of the fluorescently labeled compound was transferred to the wing of the unlabeled fly (Fig 3A).

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Fig 3. The wing receives compounds from another fly.

(A) Diagram of dye transfer experiments. For simplicity, a single labeled fly is shown; in the experiments, five flies were labeled together, and five flies were placed with a single unlabeled fly. (B–D) Left: wings from a control fly and from a fly that has been in a chamber with a labeled fly. Right: fluorescence intensity in control and recipient flies. (B) Unlabeled males after being placed with labeled females, n = 17. (C) Unlabeled females after being placed with labeled males, n = 20. (D) Unlabeled males after being placed with labeled males. The y-axis in this panel is on a different scale from the other panels, n = 14–16. *P < 0.05; ***P < 0.001; ****P < 0.0001, Kruskal–Wallis test, Dunn's multiple comparisons test. Underlying data for this figure can be found in S1 Data.

https://doi.org/10.1371/journal.pbio.2006619.g003

Initially, we labeled females and placed them in a chamber with unlabeled males. After 30 min, the male wing became labeled (Fig 3B). The anterior margin of the recipient males had a mean fluorescence intensity that was greater than that of control males that were placed in a chamber without labeled females. While it is difficult to quantitate the degree of labeling precisely, it is clear that the level of fluorescence in recipient males exceeded the level of autofluorescence in control males. Labeling of the recipient wing was not restricted to the anterior wing margin: we observed variable labeling, often in patches, on the rest of the wing, including the wing veins. When we measured the average fluorescence intensity of the rest of the wing, it was again greater following exposure to labeled females (Fig 3B).

We then modified the experiment by labeling males with the dye and placing them with an unlabeled female. We found that the dye was transferred from males to the wing margin of the female (Fig 3C). Finally, we placed labeled males in a chamber with an unlabeled male and found transfer to the wing margin of the recipient male (Fig 3D).

The simplest interpretation of these results is that large hydrophobic compounds of limited volatility can be transferred from one fly to the anterior wing margin of another fly, where chemosensory sensilla reside.

IR52a males are defective in sexual behavior

Based on its expression pattern, its coexpression with fru, and its predicted 44% amino acid sequence identity to both IR52c and IR52d, with which it is clustered in the genome (S7A Fig), we wondered if IR52a was required for normal sexual behavior. We used CRISPR/Cas9 technology to generate a deletion lacking most of the IR52a coding sequence. The deletion removes two of the three predicted transmembrane domains and the predicted ligand binding domains but does not extend beyond the IR52a coding region (S7B Fig). We backcrossed deletion lines for five generations against our control line to minimize the possibility of genetic background effects.

In D. melanogaster, a complex courtship ritual precedes copulation. One element of this ritual is the extension of a male wing to produce a courtship song via wing vibration [4952]. To quantitate courtship behaviors, we used an updated version of FlyVoyeur, which allows automated tracking of flies and classification of their behavior during courtship [15].

When IR52a mutant males were paired with virgin females in a chamber, they showed a delay in achieving successful copulation (Fig 4A). This phenotype was observed with each of three independent alleles. Specifically, by the time 50% of control males had begun to copulate, only approximately 20% of mutant males had initiated copulation. Moreover, at the end of the observation period, only half as many mutant males as wild-type males had copulated.

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Fig 4. IR52a males are defective in sexual behavior.

(A) IR52a males show delayed and reduced copulation with Canton-S w1118 females. ***P < 0.001 compared to control w1118 males (log-rank test). n = 34–46 for each genotype. (B) Rescue of IR52a mutant male phenotype. The rescue construct was a UAS-IR52a cDNA that had been backcrossed to the w1118 background five times, as had the IR52a-GAL4 construct. The genotype of the rescued flies is IR52a5; UAS-IR52a/ IR52a-GAL4, n = 30–32. (C) IR52a mutant males showed delayed courtship initiation, n = 34–46. For IR52a2, P = 0.08. (D) Rescue of IR52a mutant male phenotype. Genotypes are the same as in panel B, n = 30–32. (E) IR52a mutant males showed reduced courtship initiation toward other males, n = 26–32. The IR52a3 values are nudged +2% on the y-axis to avoid overlapping with the IR52a5 values. (F) IR52a males showed reduced courtship toward other IR52a males. Mean +/− SEM, n = 26–32. ***P < 0.001; ****P < 0.0001 compared to control, Kruskal–Wallis test, Dunn's multiple comparisons test. In (A–E), *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001, log-rank test. Underlying data for this figure can be found in S1 Data. IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.g004

To determine whether this phenotype in fact arose from the lack of IR52a, we performed a rescue experiment (Fig 4B). We found that mutant males expressing an IR52a rescue construct with an IR52a-GAL4 driver initiated copulation much faster than control males.

We also measured the time until the first male wing extension event and plotted the percentage of males that had shown such an initial event as a function of time. Two of the three alleles showed a significant delay (Fig 4C, P < 0.05); the third allele showed a delay that was not significant (Fig 4C, P = 0.08). We attempted to rescue the phenotype of one allele, IR52a5, and found that expression of the IR52a transgene did in fact accelerate wing extension relative to either control (Fig 4D, P < 0.05).

Finally, we asked whether IR52a affects male–male courtship behavior. Males show much less wing extension toward other males than toward virgin females, but extensions can be observed and quantitated in two ways. First, we measured the time to the first wing extension and found that wing extension was severely reduced in IR52a males relative to control males; in fact, only a small fraction of mutant males had shown a wing extension event by the end of a 60 minute observation period (Fig 4E). Second, we measured the fraction of the entire observation period during which males were engaged in wing extension. Pairs of IR52a mutant males extended their wings for a much shorter aggregate time than pairs of control males (Fig 4F).

To test whether the defects in sexual behavior might be due to general defects in mobility or health, we carried out tests of motor function and found no abnormalities in IR52a males or females (S8 Fig).

Optogenetic silencing of IR52a neurons inhibits sexual behavior in males

To explore the role of IR52a in more detail, we used optogenetics to silence the neurons in which it is expressed. We used IR52a-GAL4 to drive expression of the anion channelrhodopsin GtACR1 [53] and then tested behavior of male flies that were or were not fed the chromophore all-trans-retinal (ATR).

When exposed to continuous red light during the testing period, IR52a-GAL4; UAS-GtACR males that had been fed ATR showed a major reduction in copulation success compared to control males (Fig 5A). There was also a decrease in the initiation of wing extension (Fig 5B). The results of this optogenetic experiment indicate that the role of IR52a is physiological, as opposed to developmental.

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Fig 5. Silencing or activating IR52a+ neurons in males affects sexual behavior.

(A) Inactivation of IR52a+ neurons in males reduces copulation. ***P < 0.001 compared to control, log-rank test, n = 23–27 for each genotype. (B) Inactivation of IR52a+ neurons reduces courtship initiation. *P < 0.05 compared to control, log-rank test, n = 23–27. (C) Activation of IR52a+ neurons promotes male–male courtship behaviors. **P < 0.01, ANOVA, Holm-Sidak’s multiple comparisons test, n = 22–28. (D) Activation of IR52a+ neurons promotes D. melanogaster male courtship behaviors toward D. suzukii females. ****P < 0.0001, ANOVA, Holm-Sidak’s multiple comparisons test, n = 20–21. (E) Activating IR52a+ neurons in solitary males did not induce wing extension. All data points were 0 in the first and third columns. ANOVA, one-sample t test against 0 for the second column; unavailable for the first and third column, n = 22–24 for all genotypes. Underlying data for this figure can be found in S1 Data. IR, ionotropic receptor; ns, not significant.

https://doi.org/10.1371/journal.pbio.2006619.g005

Activation of IR52a neurons drives sexual behavior beyond the species barrier

The optogenetic inhibition studies indicate that the IR52a+ neurons are required for male courtship. To determine whether IR52a+ neurons drive a circuit that promotes courtship behavior, we carried out optogenetic activation studies with the excitatory channelrhodopsin Chrimson under red light.

As a sensitive assay, we tested the effects of activating IR52a+ neurons in circumstances in which control activity levels are low. We first paired males with other males. Whereas levels of wing extension between control males are low, levels of wing extension between IR52a-GAL4; UAS-Chrimson males fed ATR are dramatically higher (Fig 5C).

We then paired males with females of a distantly related species, D. suzukii. Control D. melanogaster males showed little wing extension toward D. suzukii females. Remarkably, when IR52a+ neurons are activated, the fraction of time spent in wing extension was an order of magnitude higher, approaching 15% (Fig 5D).

Finally, we asked whether activation of IR52a+ neurons would generate wing extension behavior in the absence of a target fly and found that it did not (Fig 5E). These results are consistent with the expectation that a male requires additional cues in order for input from IR52a+ neurons to activate sexual behavior.

IR52a is required for sexual behavior in females

IR52a is expressed in both males and females (S3 Fig and S4 Fig) [15]. We wondered whether IR52a also played a role in female sexual behavior. To test this possibility, we paired IR52a females with IR52a+ males and measured copulation latency.

IR52a females showed a prolongation of the time to copulation, and by the end of the test period, the number of copulating IR52a females was much lower than the control value (Fig 6A). The same female phenotype was observed for all three alleles of IR52a.

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Fig 6. IR52a females showed reduced copulation.

(A) IR52a females show reduced copulation. ***P < 0.001 compared to control w1118 females, log-rank test, n = 35–43. (B) Inactivation of IR52a+ neurons reduces female copulation. p<0.01 for b versus +/UAS-GtACR ATR; P < 0.05 for b versus IR52a-GAL4/UAS-GtACR no ATR, log-rank test, n = 18. (C) Activation of IR52a+ neurons promotes mated D. melanogaster female copulation. *P < 0.05, log-rank test, n = 32. The +/UAS-Chrimson ATR values are nudged +4% and the IR52a-GAL4/UAS-Chrimson No ATR values are nudged +2% on the y-axis to avoid overlapping with the x-axis. (D) Activation of IR52a+ neurons promotes mated D. melanogaster female copulation. The graph shows copulation at 15 min; data taken from panel (C). ****P < 0.0001, Kruskal–Wallis test, Dunn's multiple comparisons test. Underlying data for this figure can be found in S1 Data. ATR, all-trans-retinal; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.g006

We asked whether IR52a females elicited less wing extension from males than did control females. Male wing extension to these mutant females was not reduced (S9 Fig). One simple interpretation of these results is that in wild-type females, IR52a detects a pheromonal signal from males that makes the females more receptive to the males.

To our knowledge, there are few other receptor genes besides IR52a that are required for both male and female sexual behavior in Drosophila [27].

Optogenetic manipulation of IR52a+ neurons in females affects sexual behavior

We tested the effects of inactivating IR52a+ neurons in females. When IR52a+ neurons were inactivated by GtACR, copulation was reduced (Fig 6B). The magnitude of the reduction was comparable to that observed following deletion of the IR52a gene (Fig 6A).

Finally, we tested the effects of activating IR52a+ neurons in mated females. Mated females normally show much less copulation than virgin females due in part to factors that are transmitted from the male to the female during copulation and that reduce her receptivity [54, 55]. This mating suppression provides a sensitive assay for factors that increase female receptivity. An increase in copulation was in fact observed in mated IR52a-GAL4; UAS-Chrimson females that had been fed ATR and illuminated with red light compared to control females: 19% of the activated females copulated versus 0% in both controls (Fig 6C).

Taken together, these activation and inactivation experiments suggest that in females, IR52a+ neurons receive a male signal that acts to promote female receptivity. A simple interpretation of our experiment with mated females is that optogenetic activation of IR52a+ in these females was sufficient to partially override the mating suppression.

Trans-synaptic mapping of second-order neurons

We used a newly developed method for circuit mapping, trans-Tango, to identify postsynaptic partners of IR52a+ neurons [56]. Briefly, the system uses a synthetic signaling pathway that is introduced into the fly. We used IR52a-GAL4 to drive expression of myrGFP and one component of the pathway, a membrane-bound ligand, in IR52a+ neurons. This membrane-bound ligand is designed to bind to a receptor in postsynaptic partners and cause them to express mtdTomato. All neurons of the fly contain the receptor, but in principle, only neurons postsynaptic to the IR52a+ neurons are induced by the membrane-bound ligand to express mtdTomato. In this manner, IR52a+ neurons are labeled with GFP, and candidate second-order neurons are labeled with mtdTomato.

As expected, when we examined the central nervous system (CNS) of flies expressing IR52a-GAL4 and the components of the trans-Tango system, we observed GFP-labeled axons in the ganglia of the ventral nerve cord (VNC), which receives input from the wing and legs (green in Fig 7A–7C). We observed mtdTomato signal in both the VNC and in the brain. Labeling in the brain is sparse but robust, with axon terminals arborizing in the subesophageal zone (SEZ) and also in the ventrolateral protocerebrum (VLP) and superior lateral protocerebrum (SLP). Interestingly, the mtdTomato labeling in the SEZ is sexually dimorphic, as illustrated by the presence of neurites that are labeled in males (note the five examples indicated by arrows in Fig 7B and 7D) but that are absent or show very little labeling in females (Fig 7C and 7E).

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Fig 7. IR52a+ neurons synapse with sexually dimorphic second-order neurons.

(A) The Drosophila CNS. (B) Expression pattern of IR52a > trans-Tango in male flies. Green, IR52a+ sensory neurons; red, candidate second-order neurons labeled with mtdTomato (tdT); blue, neuropil (nc82 labeled with an anti-Bruchpilot antibody). Orange and black arrows indicate sexually dimorphic neurites in colored and black-and-white images from different flies. (C) Expression of IR52a > trans-Tango in female flies. Note the lack of neurites in the areas indicated by the arrows. (D) Higher magnification of the SEZ, showing labeling of the candidate second-order neurons in male flies. The arrow indicates a sexually dimorphic region. (E) Labeling of the candidate second-order neurons in the SEZ in female flies. (F) Control male flies with trans-Tango components but without the IR52a-GAL4 driver. (G) Control female flies. CNS, central nervous system; GAL4; IR, ionotropic receptor; SEZ, subesophageal zone; SLP, superior lateral protocerebrum; VLP, ventrolateral protocerebrum.

https://doi.org/10.1371/journal.pbio.2006619.g007

To confirm the functional connectivity between IR52a+ neurons and the second-order neurons revealed by trans-Tango, we expressed the red-shifted channelrhodopsin ReaChR in IR52a+ neurons and GCaMP3 instead of mtdTomato in the candidate second-order neurons, as driven by the trans-Tango system. When red light was delivered toward intact males raised on food supplemented with the chromophore ATR, a robust Ca2+ signal was observed in the SEZ (Fig 8A–8C). No signal was observed when flies were raised in the absence of ATR (Fig 8D).

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Fig 8. Leg and wing IR52a+ neurons form functional connections with neurons in the SEZ.

(A) The calcium imaging setup. The optic fiber is placed 0.5 cm away from the side of the thorax of a male fly. The proboscis and head cuticle were removed to expose the SEZ. The stimulation wavelength is 617 nm. (B) Example images of the region in the SEZ. (C) ReaChR-mediated optogenetic activation of IR52a+ neurons triggers a Ca2+ increase in the SEZ, visualized by GCaMP3 imaging in flies fed on ATR food, n = 24. Orange shading indicates the stimulation period. Individual trials were plotted with thin green lines, and the average signal was plotted with a thick green line. (D) No calcium signal was observed in the SEZ in flies fed on regular cornmeal without ATR, n = 14. (E) ReaChR-mediated optogenetic activation of leg IR52a+ neurons triggers a Ca2+ increase in the SEZ. Wings were removed bilaterally 3 days prior to illumination and imaging, n = 14. (F) Activation of wing IR52a+ neurons triggers a Ca2+ signal in the SEZ. The tarsal segments and tibia of all six legs were removed 3 days prior to illumination and imaging, n = 13. Underlying data for this figure can be found in S1 Data. ATR, all-trans-retinal; IR, ionotropic receptor; ReaChR; SEZ, subesophageal zone.

https://doi.org/10.1371/journal.pbio.2006619.g008

To test whether these synapses are formed with axons from the legs, wing, or both, we carried out ablation experiments. We ablated the tarsal segments and tibia of all six legs or, in a parallel experiment, both wings. We found that 3 days is sufficient for the axons of IR52a+ neurons to degenerate (S10 Fig). After degeneration, we delivered red light toward the flies. We detected Ca2+ signal in the SEZ of flies that had legs but not wings (Fig 8E) and in flies that had wings but not legs (Fig 8F). These results support the notion that both leg and wing axons transmit chemosensory information from IR52a receptors to the SEZ.

Finally, we attempted to confirm these results via ablation experiments in flies engineered to allow trans-Tango labeling. We ablated the tarsi and tibia of the legs on one side of a fly, allowed the axons to degenerate, and examined the flies 2 weeks later. As expected, GFP labeling disappeared from the leg neuropils on the ipsilateral side of the VNC (S11 Fig; see Fig 7A for map). In the brain, the level of mtdTomato in the ipsilateral side relative to the contralateral side declined, such that ipsilateral labeling was only approximately 85% that of contralateral labeling (S11A–S11C Fig).When both the wing and legs were ablated on the ipsilateral side, there was a larger decline in GFP labeling on the ipsilateral side (P = 0.001, t test), indicating that much of the labeling on the ipsilateral side was due to projections from wing axons. We also observed a decline when labeling was quantitated only in the SEZ (S11D Fig), providing further evidence that IR52a+ wing axons have postsynaptic partners in the SEZ. Moreover, the SEZ labeling was qualitatively similar on the two sides following each kind of ablation, supporting the notion that there is a good deal of similarity between the SEZ projections from the wing and legs.

Discussion

We have carried out a molecular analysis of a greatly understudied taste organ of the fly. Through a differential RNA-seq screen, we identified genes expressed in chemosensory sensilla of this organ. One of these genes, IR52a, is required for both male and female mating behavior. Optogenetic analysis of IR52a+ neurons has provided new insight into the molecular logic of sexual behavior.

Chemosensory sensilla of the wing: A molecular profile

After confirming that the curved sensilla on the wing margin contain pores, we examined their molecular organization by transcriptional profiling. We identified 650 genes expressed at higher levels in wings that contain chemosensory sensilla than in wings that do not. This differential screening identified a roster of chemosensory genes that are likely to form the molecular underpinnings of chemoreception in the wing.

As a byproduct, the analysis also identified a number of other interesting genes—including IRs, Grs, ppks, and Obps—that are also expressed in the wing but likely in other kinds of sensilla or cells. Some of these genes may provide a focus for the study of other wing functions, such as mechanosensation.

We note that many of the wing genes identified in our analysis, including both genes that are and are not enriched in chemosensory sensilla, were also recently identified in a different kind of RNA-seq comparison: between the entire wing of Drosophila and the wing and gut of a distantly related aphid, Acrytosiphon pisum [57]. In addition to a number of Obp, Che, and ppk genes, IR52a was among 12,188 genes found by that study to be expressed in the Drosophila wing, in agreement with our findings.

It is striking that no Gr genes were identified by our differential screen as candidate wing chemosensory receptors. A priori, one might have expected taste sensilla of the wing to express a variety of receptors of this ancient family. However, the dearth of Gr expression is consistent with a previous finding: few, if any, of 67 Gr-GAL4 drivers, representing the entire repertoire of Gr taste receptors, labeled axons projecting to the wing neuropil of the VNC [58].

By contrast, we found a variety of IR and ppk transcripts to be enriched in the chemosensory sensilla. IR25a and IR76b, the two most abundantly expressed IRs identified, have been shown to act as coreceptors for other IRs in other contexts [13]. The Ppk receptors include Ppk23, Ppk25, and Ppk29, which have previously been implicated in pheromone reception in other taste organs but which have also been found expressed in the wing [2226]. These results validate our screen and support the possibility of a role for the other Ppks we identified, such as Ppk10.

The number of identified Obps and Che proteins was surprising: 14 and 11, respectively. Either an individual chemosensory sensillum coexpresses many of these proteins or else the wing contains multiple types of chemosensory sensilla, each with a distinct molecular profile. Four of these Obps are enriched in gustatory sensilla of the labellum, and one of them is required for normal response to taste mixtures [59]. There was little overlap between these 14 wing Obps and the 10 most abundant Obps of the antenna [60].

We note finally that we have identified candidate chemosensory genes by virtue of their expression in control wings but not poxn wings that lack chemosensory sensilla. While the simplest interpretation of this differential expression is that the genes are expressed in chemosensory sensilla, the expression of any individual gene in these sensilla needs confirmation. It is formally possible that poxn has unexpected, indirect effects that repress transcription in other cell types of the wing.

Wings as recipients of cues

Wings have long been known to produce sexual cues: the male wing vibrates to generate a courtship song [52, 61]. Here, we have shown through dye transfer experiments that wings are also likely to receive sexual cues.

The wing margin offers anatomical advantages as a sensor of chemical information. It serves as the lateral boundary of the fly and provides an extensive zone for contact with other flies and the environment. Moreover, the wing margin may receive chemical information indirectly via grooming: the legs of a fly may receive chemical cues from other flies or the environment and then transfer these cues to its wings.

The notion that wing chemosensory sensilla receive sexual information is consistent with their expression of fru. The fru gene specifies central neural circuits that influence male sexual behaviors [4648, 62]. fru is also expressed in peripheral neurons of the leg that are required for sexual behavior [51] and is coexpressed in these neurons with the pheromone receptor Ppk23 [23]. The coexpression of fru with IR52a in wing neurons may reflect a role for these neurons in sexual behavior as well.

A new role for an IR in regulating male and female sexual behavior

Expression of IR52a in the wing is supported by four lines of evidence: RNA-seq, RT-PCR, qPCR, and GAL4 driver analysis. Expression is found in both male and female wings, in both D. melanogaster and in D. suzukii. IR52a is also expressed in both male and female leg sensilla [15]. The expression in both sexes is consistent with our finding that IR52a is required in both males and females for normal sexual behavior. To our knowledge, few receptor genes have been shown to be required for the sexual behavior of both males and females.

The requirement for IR52a for male sexual behavior toward females was confirmed by the finding from optogenetic analysis that the activity of IR52a+ neurons is required as well. In fact, the phenotype produced by deleting the gene was similar to that produced by silencing the neurons (Figs 4A, 4C, 5A and 5B). This similarity in phenotype suggests that the contribution of IR52a+ neurons to male behavior toward females depends primarily on the activity of IR52a.

In males, the loss of IR52a reduces the response to both females and males. One function of IR52a might be to act in the detection of a pheromone produced by both females and males. Drosophila produces a wide variety of cuticular hydrocarbons that are candidate pheromones, some of which are male-specific, some female-specific, and some common to both [3234, 63]. There is precedent for pheromones that are detected by both males and females of a species [64]. Such pheromones could act in species recognition.

IR52a may also act in the detection of sex-specific pheromones. IRs have been shown to form heteromultimers [12, 65]. We have found that chemosensory sensilla express other IRs, including other IRs in the IR52 cluster, in both wings and legs (S1 Fig and [15]). It seems plausible that IR52a may form different heteromers that respond to different pheromones in different neurons. This kind of combinatorial logic could allow a limited number of receptors to detect a larger number of pheromones. Perhaps different heteromers form in males and females, conferring responses to a female or male pheromone, respectively. It is possible that IR52a functions as a coreceptor.

Optogenetic experiments show that once activated, IR52a+ neurons drive D. melanogaster male courtship behavior, even to unproductive targets such as males and D. suzukii females, which diverged from D. melanogaster on the order of 25 million years ago [6669]. Evidently, strong IR52a+ activation overrides the need for cues specific to D. melanogaster females. However, other cues are still required: a lone male does not show wing extension in the absence of a fly target. The input from IR52a+ neurons may need to be integrated with input driven by other sensory cues, perhaps visual cues, in order for courtship behavior to proceed.

Optogenetic inactivation and activation of IR52a+ neurons in females also decreased and increased levels of copulation, respectively. The level of copulation is expected to depend on the degree of female receptivity, which in turn is influenced by a variety of factors [70, 71]. The simplest interpretation of our results is that the level of activity of female IR52a+ neurons is one such factor. IR52a+ activation may increase the receptivity of females and thereby drive higher copulation levels. In any case, the results with females provide further evidence that IR52a+ neurons are elements of the circuitry that promotes sexual behaviors.

As an initial step in mapping the circuitry, we used the trans-Tango method to show that IR52a+ neurons connect with neurons that project to the SEZ as well as the VLP and the SLP (Fig 7). Moreover, Ca2+ imaging of the SEZ supports the notion that many if not all of these connections are functional synapses (Fig 8). Interestingly, some of these projections are sexually dimorphic: easily detectable in males but not females. The sexual dimorphism is consistent with a role for these neurons in conveying pheromonal information, which may be routed differently in the CNS of males and females [72]. Ca2+-imaging experiments (Fig 8) and ablation experiments (S11 Fig) each indicated that information from both wings and legs is relayed to the SEZ.

We note that several gustatory projection neurons have been described previously. TPN2 neurons have axonal termini in the SEZ and in the higher brain and respond to sucrose [73]. vAB3 neurons have projections that terminate in the SEZ and in the lateral protocerebral complex; they are sexually dimorphic and respond to pheromones [74, 75]. Pheromone Projection Neuron 1 (PPN1) neurons send projections to the VLP [76]. It will be interesting in the future to examine the anatomical relationship between these neurons and those described here, for example, through split-GAL4 analysis.

The simplest interpretation of all of our results, taken together, is that IR52a functions as a pheromone receptor in the leg and the wing. We cannot exclude, however, the formal possibility of a more complicated model in which IR52a acts as a pheromone receptor in the leg but as a receptor for another ligand in the wing. However, even in this case, it seems likely that the information from the two signals would be integrated in the CNS based on the qualitative similarity of SEZ projections from wing and leg, as evidenced by trans-Tango results.

In summary, IR52a is a new element in the logic that controls sexual circuits in the fly. It is unusual in that it acts in both males and females and that it can promote both male–male and male–female interactions. Moreover, IR52a+ neurons can override the circuits that normally suppress sexual behavior toward unproductive targets. The ability of IR52a+ neurons to drive sexual behavior beyond sex and species barriers opens new avenues of investigation into the interactions among sexual circuits that are activated by different sensory cues.

Materials and methods

Drosophila stocks

Flies were reared on corn syrup and soy flour culture medium (Archon Scientific) at 25°C and 60% humidity in a 12:12-hour light–dark cycle, except trans-Tango flies were raised at 18°C. IR52a-GAL4 and IR52a-LexA UAS-mCD8GFP LexAop-mtdTomato were described in [15]. UAS-GtACR1 was a gift from Adam Claridge-Chang [53]. Poxn70 was described in [35]. UAS-CsChrimson was a gift from Vivek Jayaraman and was described in [77]. trans-Tango line was from Bloomington Drosophila Stock Center (#77124) and was described in [56]. IR52a mutations are described below. All lines were backcrossed to Canton-S w1118 (stock 0408–1) for at least five generations.

IR52a deletions

IR52a deletions were generated using CRISPR/Cas9 homologous recombination. Guide RNAs (gRNAs) were designed using the flyCRISPR Optimal Target Finder [78]. gRNA plasmid was constructed using pCFD4 (Addgene 49411), following the protocol described in [79]. Gibson Assembly was performed using Gibson Assembly Master Mix (New England BioLabs, E2611S). gRNA plasmid and a donor plasmid (pDsRed-attP, Addgene 51019) with homologous arms and a DsRed marker was injected into embryos by Bestgene, Inc. (Chino Hills, CA). DsRed positive alleles were then backcrossed to our control w1118 Canton-S line for five generations. The primers used in the construction are shown in S7C Fig.

Optogenetic activation and inactivation

Flies were collected on the first day of eclosion and were given fly food containing 0.5 mM ATR. Flies were kept in the dark for 3–4 days before testing in behavioral assays. During the assays, the arena was illuminated with a custom-built LED matrix with a wavelength of 625 nm (SMD 5050, LEDlightninghut.com) at an intensity of 1.75 +/− 0.11 W/m2. We did not observe neuronal death after long light exposure: the CsChrimson we used is tagged with EYFP, and the morphology of EYFP+ neurons remained grossly normal after 15 minutes of exposure.

Scanning electron microscopy

Fly wings were dissected and mounted on 9.5 mm aluminum stubs (Electron Microscopy Services #75180) using carbon paint (Electron Microscopy Services #12691–30). Samples were coated with 8 nm iridium with a Cressington 208 iridium sputtering tool. Microscopy was carried out with a Hitachi SU-70 electron microscope equipped with solid-state backscatter detector for enhanced imaging of grain boundaries.

Confocal imaging

Images of GFP and Tomato labeling were acquired on Zeiss LSM880 and LSM510 confocal microscopes and processed using Fiji (ImageJ 1.51n) [80].

RNA isolation and RNA sequencing

The wings from w1118 Canton-S and poxn flies aged 3 days were hand-dissected and frozen immediately in liquid nitrogen. Three independent replicates were collected per genotype, each replicate containing 8000 wings, from 4000 flies. RNA extraction was performed using an RNeasy Mini Kit (QIAGEN 74104) with on-column DNase treatment (QIAGEN 79254). Total RNA was sent to myGenomics, LLC (Alpharetta, GA). Poly(A)+ RNA was selected and fragmented, and samples were prepared for double-end mRNA sequencing (PE100) with standard protocols. The total analysis included 60 million reads per sample.

RNA sequencing data analysis

Trim Galore! (0.4.0) was used to perform quality control and adapter trimming on the raw reads. STAR (2.4.2a) was then used to align reads to the D. melanogaster genome (FlyBase release r6.09) [81]. The differential analysis was performed using DESeq2 [36]. An volcano plot was made by DESeq2 and custom R script. Gene ontology enrichment analysis was done using PANTHER [82].

Raw sequencing reads and preprocessed results are available from the Gene Expression Omnibus (GSE115815).

RT-PCR

Wings (approximately 100 pairs for each sex) were dissected from 3-day old virgin flies using forceps and placed immediately into Eppendorf tubes kept cold in liquid nitrogen. For total RNA extraction, tissues were kept in RLT buffer (QIAGEN) with 1% β-mercaptoethanol, crushed with RNase-free plastic pestles first, and then sonicated 10 times, for 10 seconds each time at 4°C. After sonication, total RNA was extracted with a QIAGEN RNeasy kit. mRNAs were treated with RNAse-free DNase I (QIAGEN #79254) before being used for first strand cDNA synthesis with Superscript RT III (Invitrogen), followed by PCR amplification with 35 amplification cycles. To control for contamination by genomic DNA, each batch of mRNA underwent a parallel mock reverse transcription step (no RT control) in which the reverse transcriptase was omitted, before being subjected to PCR. To provide a semi-quantitative comparison of RNA quality and quantity between samples, an RT-PCR product of eIF1α was electrophoresed on agarose gels next to the IR52a RT-PCR products. PCR primers are listed below:

eIF1α forward: AGCCCACCAATATGATGTCG

eIF1α reverse: CTTCAAGGAGGACCAACAGG

IR52a forward: TCCTGCTGAACGACAAGAGC

IR52a reverse: GGCTGAGTGAAATACGACTGC

Quantitative RT-PCR

Three-day-old virgin flies were used in RNA extraction as described above. Quantitative PCR was performed in a CFX96 TouchTM real-time PCR detection system (Bio-Rad). cDNA from the RT reaction and the No-RT control solution were each mixed with iTaq Universal SYBR Green Supermix (Bio-Rad #1725121). The denaturation temperature was set to 95°C, annealing and extension temperatures were set to 60°C. Two different pairs of primers were used for IR52a qPCR. A standard curve was made to ensure optimum primer efficiency and a melting curve was generated to ensure specificity. PCR primers are listed below:

IR52a fwd A: TCCTGCTGAACGACAAGAGC

IR52a rev A: GGCTGAGTGAAATACGACTGC

IR52a fwd B: AACGGTGGCAGATAGTTTGG

IR52a rev B: CATTCAGTTTCTGGGCATAGG

eIF1α fwd: AGCCCACCAATATGATGTCG

eIF1α rev: CTTCAAGGAGGACCAACAGG

Mating assays and automated scoring of behavior

Male flies were collected within 6 hours after eclosion and singly housed until 3–4 days old. Females were collected within 6 hours and aged for 3–4 days on regular fly food in groups of 10 female flies per culture vial. For experiments with mated females, one female was paired with one male immediately after collection. The mating status of the female was confirmed before the behavioral assay by the presence of larvae in the vial.

Mating chambers were built by stacking two multi-well plates (Greiner Bio-One 662000–06) such that each well of the plate was in register with the corresponding well of the other plate. Each chamber was 15.6 mm in diameter and 35.4 mm in height (the sum of the heights of two wells). The wall of each well was coated with Fluon PTFE (BioQuip Insect-A-Slip). A male and female were pipetted into the upper and lower wells, respectively, using a film (3M) to cover each well after the fly had been introduced. After all the individual flies had been introduced into the wells, the film was removed, such that the fly in the upper half of the chamber fell into the lower half of the chamber. The behavior of the two flies was recorded. For optogenetics experiments, the behaviors were recorded at 15 frames/second with cameras (ELP-USBFHD01M-FV), with the infrared filter removed. For recordings under a bright light LED (Gagne 1824-LP-BLACK), a Supereyes B003+ camera was used at 25 frames/second.

The courtship behavior videos were scored using an automated tool custom-written in MATLAB (2015a, MathWorks). We measured unilateral wing extension, which is a signature of courtship; we did not measure bilateral wing extension, which is a signature of aggression and is distinguishable by our algorithm. The source code is available at https://github.com/he-zhe/TwoFlyTracker.

Dye transfer experiment

Donor flies were labeled in 10-mm x 4-mm diameter chambers that contained a 3-mm diameter filter paper disc attached to the bottom with double-sided tape. We added 15 μL Nile red (Sigma, 2 mg/ml in paraffin oil) to the disc evenly. Then, five flies were labeled by placing them in the chamber for 30 minutes.

Five donor flies and one recipient fly were then transferred to a fresh 10-mm x 8-mm diameter chamber without filter paper or Nile red. After 30 minutes, we froze the chamber to −20°C for 10 minutes to immobilize the flies. Next, the wings of the recipient flies were dissected and observed under an Olympus BX51WP microscope and a CCD camera (QImaging Retiga R3). Excitation light was generated by an Olympus U-LH100HG mercury lamp, and an EGFP bandpass filter set was used (Chroma, 41017). Images were acquired with OCULAR (2.0, QImaging), and then analyzed and quantified using Fiji (ImageJ 1.51n) [80]. The quantification of Nile red in the wing was performed using the measuring tool in Fiji (ImageJ 1.15n). The portion of the wing margin that was anterior to the intersection of the margin and vein LV3 was selected using the segmented line tool, with a line width of 2. The rest of the wing was selected using polygon selections. In both cases, mean fluorescence was recorded, which is independent of the total area.

Immunohistochemistry and confocal imaging

Immunohistochemistry and fly CNS dissections were performed as described previously [83] with minor modifications. Briefly, flies incubated at 18°C that were 14–21 days old were cold anaesthetized on ice, and dipped into 100% ethanol to make the cuticles less hydrophobic. The flies were then dissected in cold PBS. After 55 minutes fixation of samples in 2% PFA/PBS, samples were washed 4 times for 15 minutes in 0.3% PBST at RT, blocked in 5% Western Blocking Solution (Roche, #11921673001) in 0.3% PBST for at least 1.5 hours, and incubated with primary antibodies diluted in 0.3% PBST at 4°C for 2 days. Samples were washed again 4 times for 15 minutes in 0.3% PBST at RT, and incubated with secondary antibodies for 2 days in darkness. Samples were then washed in 0.3% PBST for 4 times, balanced in SlowFade Gold antifade reagent (ThermoFisher, S36937) for 1 hour and mounted on a slide (ThermoFisher Superfrost Plus, 4951PLUS4) using SlowFade Gold antifade reagent.

Antibodies used in this study were: rabbit anti-GFP (ThermoFisher, A11122, 1:1,000), rat anti-HA (Roche, 11867423001, 1:100), mouse anti-Bruchpilot (DSHB, 1:20), donkey anti-mouse AF647 (Invitrogen, 1900251, 1:1,000), donkey anti-rabbit AF488 (Invitrogen, 1927937, 1:1,000), and goat anti-rat AF555 (ThermoFisher, A-21434, 1:1,000). Secondary antibodies were diluted in 50% glycerol. Images were taken with a 40X oil objective using a Zeiss LSM880 confocal microscope and stitched with ZEN software. ROI selection and fluorescence quantification were done with Fiji (ImageJ 1.52i, http://fiji.sc). The hemispheres ipsilateral and contralateral to the amputations, and the SEZ ipsilateral and contralateral to the amputations, were selected as ROIs based on nc82 staining, using the freehand selection tool in ImageJ. The signals from second-order neurons were normalized to the nc82 channel by dividing the mean red signal over the mean nc82 signal (normalized red signal), and the ipsi/contra ratio was calculated as the ratio between the normalized red signal on the ipsilateral side and the normalized signal on the contralateral side.

Calcium imaging

Flies were raised at 18°C for 14 days, and then switched to 1 mM ATR-supplemented food for at least 1 day prior to imaging. Flies in the amputated groups were anaesthetized on ice and amputated using microdissection scissors. Tarsal segments 1 through 5 and the tibia, or wings, were bilaterally ablated at least 3 days prior to imaging. After 3 days, the axonal terminals of the primary sensory neurons were completely degenerated, as indicated by the lack of EYFP signal in the corresponding neuropils.

Flies were cold-anaesthetized and inserted into a triangular hole in an aluminum shim glued to a custom-made polycarbonate holder. The head and the body were separated by the aluminum shim, and the abdomen, thorax and the head were glued to the aluminum shim using UV curing glue (KOA300, Kemxert) to minimize motion. The head was covered with Adult Hemolymph-like saline buffer (in mM: 103 NaCl, 3 KCl, 5 HEPES, 8 Trehalose, 10 Glucose, 26 NaHCO3, 1 NaH2PO4, 1.5 CaCl2, 4 MgCl2), and the proboscis and the cuticle in the head were removed to expose the SEZ. The esophagus was also removed to expose the SEZ and to reduce motion.

Optogenetic stimulation was produced by a 617 nm LED (Thorlabs, M617F2), and delivered approximately 0.5 cm away from the thorax of the fly via a Ø2.5 mm (FC) Ferrule Patch Cable (Thorlabs, M126L01) and a Ø400 μm Core, 0.5NA fiber optic cannula (CFMC54L20). Light stimulation was 2 seconds long, controlled by a T-cube LED driver (Thorlabs, LEDD1B) and an Arduino Uno microcontroller. The LED was used at maximum intensity.

Images were acquired with a CCD camera (Retiga-R3, QImaging) mounted on a widefield fluorescence microscope (Olympus BX40) equipped with a 40x water immersion objective (Olympus LUMPLFLN 40XW, 0.8 NA). Excitation light was produced with a LED light (CoolLED pE-100). Image size was 960 x 730 pixels. Exposure time was 250 ms, acquired at 4 Hz. Micromanager 1.4 was used to control the camera, excitation light and data acquisition.

Videos were processed using NIH ImageJ. A 240-pixel diameter ROI was selected covering the SEZ (SEZ ROI). Another 40-pixel ROI was selected in a region lacking GFP signal (background ROI). ΔF/F was calculated as (Ft − F0)/F0, in which Ft is the mean fluorescence intensity in the SEZ ROI (after subtracting the mean fluorescence intensity in the background ROI) at time t, and F0 is the mean fluorescence intensity (after subtracting the same background intensity) during the 20 frames prior to optogenetic stimulation.

Supporting information

S1 Fig. Chemosensory gene expression in the wings of control and Poxn flies.

(A) IR genes. (B) Gr genes. (C) Or genes. Genes are listed in decreasing order of FPKM in the control genotype (w1118 Canton-S). Genes are shown only if the mean FPKM > 0.05 for the control samples. Error bars indicate SEM. Underlying data for this figure can be found in S2 Data. FPKM, fragments per million mapped reads per kilobase of gene length; Gr, gustatory receptor; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s001

(TIF)

S2 Fig. Chemosensory gene expression in the wings of control and Poxn flies.

(A) ppk genes. (B) Trp genes (C) CheB genes, which are a class of CSP genes. (D) CheA genes, a class of CSP genes. (E) Obp genes. Genes are listed in decreasing order of FPKM in the control genotype (w1118 Canton-S). Genes are shown only if the mean FPKM > 0.05 for the control samples. Error bars indicate SEM Underlying data for this figure can be found in S2 Data. CSP, chemosensory protein; FPKM, fragments per million mapped reads per kilobase of gene length; Obp, odorant binding protein; ppk, pickpocket; Trp, transient receptor potential.

https://doi.org/10.1371/journal.pbio.2006619.s002

(TIF)

S3 Fig. qPCR of IR52a in the wing.

qPCR of IR52a in male wings (blue) and female wings (red), using two set of primers. In the case of each primer pair, the transcription level was normalized to eIF1α, used as an internal control. The male value was then normalized to the female value. n = 3; the error bar indicates SEM. Underlying data for this figure can be found in S2 Data. IR, ionotropic receptor; qPCR, quantitative PCR.

https://doi.org/10.1371/journal.pbio.2006619.s003

(TIF)

S4 Fig. Expression pattern of IR52a-GAL4 in males and females.

Expression of IR52a > mCD8GFP in the male (A) and female (B) wing, and in the male (C) and female (D) ventral nerve cord, showing leg (arrows) and wing (arrowheads) neuropils. GFP, green fluorescent protein; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s004

(TIF)

S5 Fig. Wing IR52a+ neurons express fruitless, a marker of sexual circuitry.

(A–C) Male wing labeled in green by IR52a-GAL4/UAS-Stinger (a nuclear GFP), and in red by fru-LexA/LexAop-tomato-nls. Arrows indicate neurons that clearly express both GFP and tdTomato. GFP, green fluorescent protein; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s005

(TIF)

S6 Fig. Dye labeling.

(A) Fly prior to labeling. (B) Fly after spending 30 minutes in a chamber with Nile red. Fluorescence is most easily visible on the ventral abdomen.

https://doi.org/10.1371/journal.pbio.2006619.s006

(TIF)

S7 Fig. The IR52 gene cluster and the generation of an IR52a deletion.

(A) IR52 cluster contains five genes: IR52a, IR52b, IR52e, IR52c, and IR52d. The D. melanogaster reference genome contains only four genes in the IR52 cluster [84]. Our Canton-S5 stock contains five genes: IR52b in the reference genome is an in-frame fusion of the IR52b and IR52e genes found in our stock [15]. (B) The IR52a CRISPR deletion. There are 599 amino acids in the predicted IR52a protein. The deletion removes codons specifying amino acids 31 to 447, which accounts for approximately 70% of the amino acid sequence. (C) Primers used in constructing deletion. Primers 1–2 were used for creating the CRISPR Guide chiRNA, and primers 3–10 were used for constructing the CRISPR donor plasmid. IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s007

(TIF)

S8 Fig. IR52a shows normal locomotion behavior.

Mean height (+/− SEM) reached by male flies (A) and female flies (B) in 5 seconds in a climbing assay. None of the lines varied significantly from the controls, ANOVA, n = 13–20 for males, n = 17–19 for females. (C) Mean +/− SEM speed of male flies during courtship behaviors. n.s., not significant, ANOVA, n = 26–34 each genotype. Underlying data for this figure can be found in S2 Data. IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s008

(TIF)

S9 Fig. Disruption of IR52a in females did not affect wing extension behavior of males.

ANOVA, n = 35–43. Underlying data for this figure can be found in S2 Data. IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s009

(TIF)

S10 Fig. IR52a+ axons have degenerated three days after foreleg ablation.

Expression of GFP in an IR52a > mCD8GFP fly three days after foreleg ablation. Notice the intact axons in the wing neuropil (arrow) and midleg neuropil (arrowhead), and the absence of GFP in the foreleg neuropil (indicated by the red oval). GFP, green fluorescent protein; IR, ionotropic receptor.

https://doi.org/10.1371/journal.pbio.2006619.s010

(TIF)

S11 Fig. Wing IR52a+ neurons synapse with neurons in the SEZ.

(A) Unilateral leg ablations in male flies engineered to allow trans-Tango labeling. After ablating legs on one side (the right side in this case), GFP signal (produced in IR52a+ neurons) is lost from the foreleg, midleg and hindleg neuropils on the right side, but it remains in the wing neuropil (see Fig 7A for map of neuropils). The mtdTomato signal (produced in neurons post-synaptic to IR52a+ neurons) in the SEZ is shown in the boxed area and at higher magnification below (yellow arrows). (B) Unilateral ablations of legs and wing. Note the lack of GFP signal in the foreleg, wing, midleg and hindleg neuropils. The mtdTomato signal in the SEZ ipsilateral to the ablations (right side) is lower than that on the contralateral (left) side (yellow arrows). (C) Quantification of the ratio of mtdTomato signal in the ipsilateral and contralateral hemispheres, following each kind of ablation. The ratio is lower when wing and legs are ablated, compared to the ratio when legs only are ablated. (P < 0.01; t test). (D) Quantification of the ratio of mtdTomato signal in the ipsilateral and contralateral SEZ, following each kind of ablation. The ratio is lower when wing and legs are ablated, compared to the ratio when legs only are ablated (P < 0.05). Underlying data for this figure can be found in S2 Data. GFP, green fluorescent protein; IR, ionotropic receptor; SEZ, subesophageal zone.

https://doi.org/10.1371/journal.pbio.2006619.s011

(TIF)

S1 Table. Differentially expressed genes between control and Poxn.

Columns C and D indicate FPKM. P values and adjusted P values are given by DESeq2 Wald test. FPKM, FPKM, fragments per million mapped reads per kilobase of gene length.

https://doi.org/10.1371/journal.pbio.2006619.s012

(XLSX)

S1 Data. Quantitative observations that underlie the figures in main text.

https://doi.org/10.1371/journal.pbio.2006619.s013

(XLSX)

S2 Data. Quantitative observations that underlie the figures in supplementary information.

https://doi.org/10.1371/journal.pbio.2006619.s014

(XLSX)

Acknowledgments

We thank Dr. Melissa Harrison, Dr. Kate O’Connor-Giles, Dr. Jill Wildonger, and Dr. Simon Bullock for plasmids pDsRed-attP (Addgene plasmid 51019) and pCFD4-U6:1_U6:3tandemgRNAs (Addgene plasmid 49411). We are grateful to Zina Berman for technical support.

References

  1. 1. Liman ER, Zhang YV, Montell C. Peripheral coding of taste. Neuron. 2014;81(5):984–1000. pmid:24607224
  2. 2. Blum MS. Semiochemical parsimony in the Arthropoda. Annual review of entomology Vol 41. 1996:353–74.
  3. 3. Van der Goes van Naters W, Carlson JR. Insects as chemosensors of humans and crops. Nature. 2006;444(7117):302–7. pmid:17108954
  4. 4. Stocker RF. The organization of the chemosensory system in Drosophila melanogaster: a review. Cell Tissue Res. 1994;275(1):3–26. pmid:8118845.
  5. 5. Scott K. Gustatory processing in Drosophila melanogaster. Annual review of entomology. 2018;63(1):15–30. pmid:29324046
  6. 6. Palka J, Lawrence PA, Hart HS. Neural projection patterns from homeotic tissue of Drosophila studied in bithorax mutants and mosaics. Developmental Biology. 1979;69(2):549–75. https://doi.org/10.1016/0012-1606(79)90311-7. pmid:108163
  7. 7. Yanagawa A, Guigue AM, Marion-Poll F. Hygienic grooming is induced by contact chemicals in Drosophila melanogaster. Frontiers in behavioral neuroscience. 2014;8:254. Epub 2014/08/08. pmid:25100963; PubMed Central PMCID: PMCPMC4107972.
  8. 8. Valmalette JC, Raad H, Qiu N, Ohara S, Capovilla M, Robichon A. Nano-architecture of gustatory chemosensory bristles and trachea in Drosophila wings. Sci Rep. 2015;5:14198. Epub 2015/09/19. pmid:26381332; PubMed Central PMCID: PMCPMC4585653.
  9. 9. Raad H, Ferveur JF, Ledger N, Capovilla M, Robichon A. Functional gustatory role of chemoreceptors in Drosophila wings. Cell Rep. 2016;15(7):1442–54. Epub 2016/05/11. pmid:27160896.
  10. 10. Clyne PJ, Warr CG, Carlson JR. Candidate taste receptors in Drosophila. Science. 2000;287(5459):1830–4. pmid:10710312
  11. 11. Joseph RM, Carlson JR. Drosophila chemoreceptors: A molecular interface between the chemical world and the brain. Trends in Genetics. 2015;31(12):683–95. pmid:26477743
  12. 12. Benton R, Vannice KS, Gomez-Diaz C, Vosshall LB. Variant ionotropic glutamate receptors as chemosensory receptors in Drosophila. Cell. 2009;136(1):149–62. pmid:19135896; PubMed Central PMCID: PMC2709536.
  13. 13. Croset V, Rytz R, Cummins SF, Budd A, Brawand D, Kaessmann H, et al. Ancient protostome origin of chemosensory ionotropic glutamate receptors and the evolution of insect taste and olfaction. PLoS Genet. 2010;6(8). pmid:20808886
  14. 14. Zhang YV, Ni J, Montell C. The molecular basis for attractive salt-taste coding in Drosophila. Science. 2013;340(6138):1334–8. pmid:23766326
  15. 15. Koh TW, He Z, Gorur-Shandilya S, Menuz K, Larter NK, Stewart S, et al. The Drosophila IR20a clade of ionotropic receptors are candidate taste and pheromone receptors. Neuron. 2014;83(4):850–65. pmid:25123314
  16. 16. Ahn JE, Chen Y, Amrein H. Molecular basis of fatty acid taste in Drosophila. eLife. 2017;6:e30115. pmid:29231818
  17. 17. Ganguly A, Pang L, Duong VK, Lee A, Schoniger H, Varady E, et al. A molecular and cellular context-dependent role for Ir76b in detection of amino acid taste. Cell reports. 2017;18(3):737–50. pmid:28099851
  18. 18. Joseph RM, Sun JS, Tam E, Carlson JR. A receptor and neuron that activate a circuit limiting sucrose consumption. eLife. 2017;6:e24992. pmid:28332980
  19. 19. Tauber JM, Brown EB, Li Y, Yurgel ME, Masek P, Keene AC. A subset of sweet-sensing neurons identified by IR56d are necessary and sufficient for fatty acid taste. PLoS Genet. 2017;13(11):e1007059. pmid:29121639
  20. 20. Sanchez-Alcaniz JA, Silbering AF, Croset V, Zappia G, Sivasubramaniam AK, Abuin L, et al. An expression atlas of chemosensory ionotropic glutamate receptors identifies a molecular basis of carbonation detection. bioRxiv. 2018.
  21. 21. Lee Y, Poudel S, Kim Y, Thakur D, Montell C. Calcium taste avoidance in Drosophila. Neuron. 2018;97(1):67–74.e4. pmid:29276056
  22. 22. Lu B, LaMora A, Sun Y, Welsh MJ, Ben-Shahar Y. Ppk23-dependent chemosensory functions contribute to courtship behavior in Drosophila melanogaster. PLoS Genet. 2012;8(3). pmid:22438833
  23. 23. Thistle R, Cameron P, Ghorayshi A, Dennison L, Scott K. Contact chemoreceptors mediate male-male repulsion and male-female attraction during Drosophila courtship. Cell. 2012;149(5):1140–51. pmid:22632976
  24. 24. Toda H, Zhao X, Dickson BJ. The Drosophila female aphrodisiac pheromone activates ppk23+ sensory neurons to elicit male courtship behavior. Cell Reports. 2012;1(6):599–607. pmid:22813735
  25. 25. Lin H, Mann KJ, Starostina E, Kinser RD, Pikielny CW. A Drosophila DEG/ENaC channel subunit is required for male response to female pheromones. Proceedings of the National Academy of Sciences of the United States of America. 2005;102(36):12831–6. pmid:16129837
  26. 26. Starostina E, Liu T, Vijayan V, Zheng Z, Siwicki KK, Pikielny CW. A Drosophila DEG/ENaC subunit functions specifically in gustatory neurons required for male courtship behavior. J Neurosci. 2012;32(13):4665–74. pmid:22457513
  27. 27. Vijayan V, Thistle R, Liu T, Starostina E, Pikielny CW. Drosophila pheromone-sensing neurons expressing the ppk25 ion channel subunit stimulate male courtship and female receptivity. PLoS Genet. 2014;10(3):e1004238. pmid:24675786; PubMed Central PMCID: PMCPMC3967927.
  28. 28. Al-Anzi B, Tracey WD Jr., Benzer S. Response of Drosophila to wasabi is mediated by painless, the fly homolog of mammalian TRPA1/ANKTM1. Current biology: CB. 2006;16(10):1034–40. pmid:16647259.
  29. 29. Kang K, Pulver SR, Panzano VC, Chang EC, Griffith LC, Theobald DL, et al. Analysis of Drosophila TRPA1 reveals an ancient origin for human chemical nociception. Nature. 2010;464(7288):597–600. pmid:20237474; PubMed Central PMCID: PMC2845738.
  30. 30. Kim SH, Lee Y, Akitake B, Woodward OM, Guggino WB, Montell C. Drosophila TRPA1 channel mediates chemical avoidance in gustatory receptor neurons. Proc Natl Acad Sci U S A. 2010;107(18):8440–5. pmid:20404155; PubMed Central PMCID: PMC2889570.
  31. 31. Zhang YV, Raghuwanshi RP, Shen WL, Montell C. Food experience-induced taste desensitization modulated by the Drosophila TRPL channel. Nat Neurosci. 2013;16(10):1468–76. pmid:24013593; PubMed Central PMCID: PMC3785572.
  32. 32. Yew JY, Dreisewerd K, Luftmann H, Muthing J, Pohlentz G, Kravitz EA. A new male sex pheromone and novel cuticular cues for chemical communication in Drosophila. Current biology: CB. 2009;19(15):1245–54. pmid:19615904; PubMed Central PMCID: PMC2726907.
  33. 33. Everaerts C, Farine JP, Cobb M, Ferveur JF. Drosophila cuticular hydrocarbons revisited: Mating status alters cuticular profiles. PLoS ONE. 2010;5(3). pmid:20231905
  34. 34. Niehoff AC, Kettling H, Pirkl A, Chiang YN, Dreisewerd K, Yew JY. Analysis of Drosophila lipids by matrix-assisted laser desorption/ionization mass spectrometric imaging. Analytical chemistry. 2014;86(22):11086–92. Epub 2014/10/21. pmid:25329240.
  35. 35. Awasaki T, Kimura Ki. pox‐neuro is required for development of chemosensory bristles in Drosophila. Journal of neurobiology. 1998;32(7):707–21.
  36. 36. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology. 2014;15(12):550. PMC4302049. pmid:25516281
  37. 37. Graham LA, Davies PL. The odorant-binding proteins of Drosophila melanogaster: annotation and characterization of a divergent gene family. Gene. 2002;292(1):43–55. https://doi.org/10.1016/S0378-1119(02)00672-8.
  38. 38. Larter NK, Sun JS, Carlson JR. Organization and function of Drosophila odorant binding proteins. Elife. 2016;5. Epub 2016/11/16. pmid:27845621; PubMed Central PMCID: PMCPMC5127637.
  39. 39. Jeong YT, Shim J, Oh SR, Yoon HI, Kim CH, Moon SJ, et al. An odorant-binding protein required for suppression of sweet taste by bitter chemicals. Neuron. 2013;79(4):725–37. pmid:23972598; PubMed Central PMCID: PMC3753695.
  40. 40. Xu P, Atkinson R, Jones DN, Smith DP. Drosophila OBP LUSH is required for activity of pheromone-sensitive neurons. Neuron. 2005;45(2):193–200. pmid:15664171.
  41. 41. Ben-Shahar Y, Lu B, Collier DM, Snyder PM, Schnizler M, Welsh MJ. The Drosophila gene CheB42a is a novel modifier of Deg/ENaC channel function. PLoS ONE. 2010;5(2):e9395. pmid:20195381
  42. 42. Nottebohm E, Usui A, Therianos S, Kimura K, Dambly-Chaudiere C, Ghysen A. The gene poxn controls different steps of the formation of chemosensory organs in Drosophila. Neuron. 1994;12(1):25–34. Epub 1994/01/01. pmid:8292359.
  43. 43. Zhong L, Hwang RY, Tracey WD. Pickpocket Is a DEG/ENaC protein required for mechanical nociception in Drosophila larvae. Curr Biol. 2010;20(5):429–34. pmid:20171104
  44. 44. Guo Y, Wang Y, Wang Q, Wang Z. The role of PPK26 in Drosophila larval mechanical nociception. Cell reports. 2014;9(4):1183–90. pmid:25457610
  45. 45. Tracey WD, Wilson RI, Laurent G, Benzer S. painless, a Drosophila gene essential for nociception. Cell. 2003;113(2):261–73. pmid:12705873
  46. 46. Kimura K, Hachiya T, Koganezawa M, Tazawa T, Yamamoto D. Fruitless and doublesex coordinate to generate male-specific neurons that can initiate courtship. Neuron. 2008;59(5):759–69. pmid:18786359.
  47. 47. Stockinger P, Kvitsiani D, Rotkopf S, Tirián L, Dickson BJ. Neural circuitry that governs Drosophila male courtship behavior. Cell. 2005;121(5):795–807. pmid:15935765
  48. 48. Manoli DS, Foss M, Villella A, Taylor BJ, Hall JC, Baker BS. Male-specific fruitless specifies the neural substrates of Drosophila courtship behaviour. Nature. 2005;436(7049):395–400. pmid:15959468
  49. 49. Cook RM. Behavioral role of the sexcombs in Drosophila melanogaster and Drosophila simulans. Behav Genet. 1977;7(5):349–57. pmid:411471
  50. 50. Greenspan RJ, Ferveur JF. Courtship in Drosophila. Annual Review of Genetics2000. p. 205–32. pmid:11092827
  51. 51. Fan P, Manoli DS, Ahmed OM, Chen Y, Agarwal N, Kwong S, et al. Genetic and neural mechanisms that inhibit Drosophila from mating with other species. Cell. 2013;154(1):89–102. pmid:23810192
  52. 52. Coen P, Clemens J, Weinstein AJ, Pacheco DA, Deng Y, Murthy M. Dynamic sensory cues shape song structure in Drosophila. Nature. 2014;507:233. pmid:24598544
  53. 53. Mohammad F, Stewart JC, Ott S, Chlebikova K, Chua JY, Koh TW, et al. Optogenetic inhibition of behavior with anion channelrhodopsins. Nature methods. 2017;14(3):271–4. Epub 2017/01/24. pmid:28114289.
  54. 54. Chen PS, Stumm-Zollinger E, Aigaki T, Balmer J, Bienz M, Bohlen P. A male accessory gland peptide that regulates reproductive behavior of female D. melanogaster. Cell. 1988;54(3):291–8. pmid:3135120.
  55. 55. Ejima A, Smith BP, Lucas C, van der Goes van Naters W, Miller CJ, Carlson JR, et al. Generalization of courtship learning in Drosophila is mediated by cis-vaccenyl acetate. Current biology: CB. 2007;17(7):599–605. pmid:17363250; PubMed Central PMCID: PMCPMC1913718.
  56. 56. Talay M, Richman EB, Snell NJ, Hartmann GG, Fisher JD, Sorkac A, et al. Transsynaptic mapping of second-order taste neurons in flies by trans-Tango. Neuron. 2017;96(4):783–95.e4. Epub 2017/11/07. pmid:29107518; PubMed Central PMCID: PMCPMC5693608.
  57. 57. Agnel S, da Rocha M, Robichon A. Transcriptome profiling of neurosensory perception genes in wing tissue of two evolutionary distant insect orders: Diptera (Drosophila melanogaster) and Hemiptera (Acyrthosiphon pisum). Journal of molecular evolution. 2017;85(5–6):234–45. Epub 2017/10/28. pmid:29075833.
  58. 58. Park JH, Kwon JY. A systematic analysis of Drosophila gustatory receptor gene expression in abdominal neurons which project to the central nervous system. Mol Cells. 2011;32(4):375–81. pmid:21870111
  59. 59. Jeong YT, Shim J, Oh SR, Yoon HI, Kim CH, Moon SJ, et al. An Odorant Binding Protein required for suppression of sweet taste by bitter chemicals. Neuron. 2013;79(4):725–37. PMC3753695. pmid:23972598
  60. 60. Menuz K, Larter NK, Park J, Carlson JR. An RNA-Seq screen of the Drosophila antenna identifies a transporter necessary for ammonia detection. PLoS Genet. 2014;10(11):e1004810. pmid:25412082
  61. 61. Manoli DS, Baker BS. Median bundle neurons coordinate behaviours during Drosophila male courtship. Nature. 2004;430(6999):564–9. pmid:15282607
  62. 62. Cachero S, Ostrovsky AD, Yu JY, Dickson BJ, Jefferis GSXE. Sexual dimorphism in the fly brain. Curr Biol. 2010;20(18):1589–601. pmid:20832311
  63. 63. Dweck HK, Ebrahim SA, Thoma M, Mohamed AA, Keesey IW, Trona F, et al. Pheromones mediating copulation and attraction in Drosophila. Proc Natl Acad Sci U S A. 2015;112(21):E2829–35. pmid:25964351; PubMed Central PMCID: PMC4450379.
  64. 64. Ljungberg H, Anderson P, Hansson BS. Physiology and morphology of pheromone-specific sensilla on the antennae of male and female Spodoptera littoralis (Lepidoptera: Noctuidae). Journal of Insect Physiology. 1993;39(3):253–60.
  65. 65. Abuin L, Bargeton B, Ulbrich MH, Isacoff EY, Kellenberger S, Benton R. Functional architecture of olfactory ionotropic glutamate receptors. Neuron. 2011;69(1):44–60. pmid:21220098; PubMed Central PMCID: PMC3050028.
  66. 66. Ometto L, Cestaro A, Ramasamy S, Grassi A, Revadi S, Siozios S, et al. Linking genomics and ecology to investigate the complex evolution of an invasive Drosophila pest. Genome biology and evolution. 2013;5(4):745–57. Epub 2013/03/19. pmid:23501831; PubMed Central PMCID: PMCPMC3641628.
  67. 67. Setoguchi S, Takamori H, Aotsuka T, Sese J, Ishikawa Y, Matsuo T. Sexual dimorphism and courtship behavior in Drosophila prolongata. Journal of Ethology. 2014;32(2):91–102.
  68. 68. Tamura K, Subramanian S, Kumar S. Temporal patterns of fruit fly (Drosophila) evolution revealed by mutation clocks. Mol Biol Evol. 2004;21(1):36–44. Epub 2003/09/02. pmid:12949132.
  69. 69. Russo CAM, Mello B, Frazão A, Voloch CM. Phylogenetic analysis and a time tree for a large drosophilid data set (Diptera: Drosophilidae). Zoological Journal of the Linnean Society. 2013;169(4):765–75.
  70. 70. Yamamoto D, Koganezawa M. Genes and circuits of courtship behaviour in Drosophila males. Nature Reviews Neuroscience. 2013;14:681. pmid:24052176
  71. 71. Ferveur JF. Drosophila female courtship and mating behaviors: sensory signals, genes, neural structures and evolution. Current opinion in neurobiology. 2010;20(6):764–9. Epub 2010/10/12. pmid:20934322.
  72. 72. Kohl J, Ostrovsky AD, Frechter S, Jefferis GS. A bidirectional circuit switch reroutes pheromone signals in male and female brains. Cell. 2013;155(7):1610–23. pmid:24360281; PubMed Central PMCID: PMCPMC3898676.
  73. 73. Kim H, Kirkhart C, Scott K. Long-range projection neurons in the taste circuit of Drosophila. Elife. 2017;6. Epub 2017/02/07. pmid:28164781; PubMed Central PMCID: PMCPMC5310837.
  74. 74. Yu JY, Kanai MI, Demir E, Jefferis GS, Dickson BJ. Cellular organization of the neural circuit that drives Drosophila courtship behavior. Current biology: CB. 2010;20(18):1602–14. Epub 2010/09/14. pmid:20832315.
  75. 75. Clowney EJ, Iguchi S, Bussell JJ, Scheer E, Ruta V. Multimodal chemosensory circuits controlling male courtship in Drosophila. Neuron. 2015;87(5):1036–49. PMC4560615. pmid:26279475
  76. 76. Kallman BR, Kim H, Scott K. Excitation and inhibition onto central courtship neurons biases Drosophila mate choice. Elife. 2015;4:e11188. Epub 2015/11/17. pmid:26568316; PubMed Central PMCID: PMCPMC4695383.
  77. 77. Klapoetke NC, Murata Y, Kim SS, Pulver SR, Birdsey-Benson A, Cho YK, et al. Independent optical excitation of distinct neural populations. Nature methods. 2014;11(3):338–46. Epub 2014/02/11. pmid:24509633; PubMed Central PMCID: PMCPMC3943671.
  78. 78. Gratz SJ, Ukken FP, Rubinstein CD, Thiede G, Donohue LK, Cummings AM, et al. Highly specific and efficient CRISPR/Cas9-catalyzed homology-directed repair in Drosophila. Genetics. 2014;196(4):961–71. Epub 2014/01/31. pmid:24478335; PubMed Central PMCID: PMCPMC3982687.
  79. 79. Port F, Chen HM, Lee T, Bullock SL. Optimized CRISPR/Cas tools for efficient germline and somatic genome engineering in Drosophila. Proc Natl Acad Sci U S A. 2014;111(29):E2967–76. Epub 2014/07/09. pmid:25002478; PubMed Central PMCID: PMCPMC4115528.
  80. 80. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nature methods. 2012;9(7):676–82. Epub 2012/06/30. pmid:22743772; PubMed Central PMCID: PMCPMC3855844.
  81. 81. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21. Epub 2012/10/30. pmid:23104886; PubMed Central PMCID: PMCPMC3530905.
  82. 82. Thomas PD, Kejariwal A, Guo N, Mi H, Campbell MJ, Muruganujan A, et al. Applications for protein sequence–function evolution data: mRNA/protein expression analysis and coding SNP scoring tools. Nucleic Acids Research. 2006;34(suppl_2):W645–W50. pmid:16912992
  83. 83. Ostrovsky A, Cachero S, Jefferis G. Clonal analysis of olfaction in Drosophila: immunochemistry and imaging of fly brains. Cold Spring Harb Protoc. 2013;2013(4):342–6. pmid:23547149.
  84. 84. Adams MD, Celniker SE, Holt RA, Evans CA, Gocayne JD, Amanatides PG, et al. The genome sequence of Drosophila melanogaster. Science. 2000;287(5461):2185–95. pmid:10731132.