Abstract
Taste perception is thought to involve the encoding of appetitive and aversive chemical cues in food through a limited number of sensory pathways. Through expression analysis of the complete repertoire of Drosophila Ionotropic Receptors (IRs), a sensory subfamily of ionotropic glutamate receptors, we reveal that the majority of IRs is expressed in diverse peripheral neuron populations across gustatory organs in both larvae and adults, implying numerous roles in taste-evoked behaviours. We characterise Ir56d, which labels two anatomically-distinct classes of neurons in the proboscis: one represents a subset of sugar- and fatty acid-sensing neurons, while the other responds to carbonated solutions and fatty acids. Mutational analysis shows that IR56d, together with the broadly-expressed co-receptors IR25a and IR76b, is essential for physiological activation by carbonation and fatty acids, but not sucrose. We further demonstrate that carbonation is behaviourally attractive to flies (in an IR56d-dependent manner), but in a distinct way to other appetitive stimuli. Our work provides a valuable toolkit for investigating the taste functions of IRs, defines a molecular basis of carbonation sensing, and illustrates how the gustatory system uses combinatorial expression of sensory receptors in distinct neuron types to coordinate behaviour.
Classic models of gustatory perception in mammals highlight the existence of a small number of taste classes signalling nutritive content (e.g., sugars and amino acids) or toxicity (e.g., bitter) that determine – through activation of hard-wired neural circuits – behavioural acceptance or rejection of food1,2. Different classes of tastants are recognised by discrete sensory channels that express distinct, and relatively small, receptor families. For example, detection of all sugars depends upon a single heterodimeric GPCR complex (T1R2/T1R3), while “bitter” cells – which detect an enormous diversity of noxious compounds – co-express a few dozen GPCRs of the T2R family1,2.
Such models have been pervasive in interpreting how gustatory perception occurs in other animals, including insects, where analogous segregated sensory pathways for sweet and bitter compounds have been defined3–6. However, in contrast to mammals, where taste – mediated by lingual taste buds – informs only feeding decisions, insect gustation occurs in multiple sensory appendages, including the proboscis, legs, wings and sexual organs, and controls diverse behaviours, such as foraging, feeding, sexual/social recognition and oviposition3–6. In addition to stereotyped appetitive and aversive feeding responses to sweet and bitter compounds respectively, insects display behavioural reactions to many other types of chemicals, including salt7, water8, carbonation (i.e., aqueous CO2)9, organic and inorganic acids10,11, and pheromonal cuticular hydrocarbons12.
The wide-ranging roles of the insect gustatory system are concordantly reflected in the underlying molecular receptors that mediate peripheral sensory detection. The best-characterised taste receptor repertoire is the Gustatory Receptor (GR) family, which are a divergent set of presumed heptahelical ion channels that function in the detection of sugars, bitter compounds and certain sex pheromones3,13. A second large repertoire of receptors implicated in insect gustation is the Ionotropic Receptor (IR) family, which are ligand-gated ion channels that have derived from synaptic ionotropic glutamate receptors (iGluRs)14–17. Unlike iGluRs, IRs display enormous diversification both in the size of the repertoire across insects (ranging from tens to several hundreds15,16,18), and in their protein sequences (with as little as 10% amino acid identity between pairs of receptors). IRs have been best-characterised in the vinegar fly, Drosophila melanogaster, which possesses 60 intact Ir genes. Of these, the most thoroughly understood are the 17 receptors expressed in the adult antenna. Thirteen of these are expressed in discrete populations of sensory neurons, and function as olfactory receptors for volatile acids, aldehydes and amines16,19,20 or in humidity detection21–24. The remaining four (IR8a, IR25a, IR76b and IR93a) are expressed in multiple, distinct neuron populations and function, in various combinations, as co-receptors with the selectively-expressed “tuning” IRs21,22,25.
By contrast, little is known about the sensory functions of the remaining, large majority of “non-antennal” IRs. Previous analyses described the expression of transgenic reporters for subsets of these receptors in small groups of gustatory sensory neurons (GSNs) in several different contact chemosensory structures15, 26–28. While these observations strongly implicate these genes as having gustatory functions, the evidence linking specific taste ligands to particular receptors, neurons and behaviours remains sparse. For example, IR52c and IR52d are expressed in sexually-dimorphic populations of leg neurons and implicated in male courtship behaviours26, although their ligands are unknown. Reporters for IR60b, IR94f and IR94h are co-expressed in pharyngeal GSNs that respond to sucrose, which may limit overfeeding29 or monitor the state of externally digested food30. IR62a is essential for behavioural avoidance of high Ca2+ concentrations, but the precise neuronal expression of this receptor is unclear31. As in the olfactory system, these selectively-expressed IRs are likely to function with the IR25a and/or IR76b co-receptors, which are broadly-expressed in contact chemosensory organs, and required for detection of multiple types of tastants, including polyamines32, amino acids28, 33 and Ca2+31
Here we describe a pan-repertoire set of transgenic IR reporters, which we use to survey of the expression of the IR family in gustatory neurons in both larval and adult stages. Using this molecular map, we identify IR56d as a selectively-expressed receptor that acts with IR25a and IR76b to mediate physiological and attractive behavioural responses to carbonation, a previously “orphan” taste class. Furthermore, we extend and clarify recent, partially conflicting, studies34–36 to show that IR56d is also required in sugar-sensing GR neurons to mediate distinct behavioural responses to fatty acids.
Results
A toolkit of transgenic reporters for IRs
We generated transgenic reporters for all non-antennal IRs, which comprise 5’ genomic regions of individual Ir loci placed upstream of Gal4 (Methods and Supplementary Table 1). Although the location of relevant gene regulatory sequences is unknown, this strategy has yielded faithful reporters of endogenous expression patterns for essentially all antennal Irs14, 20, 21, 37, 38. These constructs were integrated into identical sites in the genome to avoid positional effects on transgene expression. Such reporters of receptor expression provide greater sensitivity and spatial resolution than is permitted by RNA in situ expression, which is inadequate to reliably detect Ir transcripts outside the antenna (R.B., unpublished data). Moreover, when used to drive the membrane-targeted mCD8:GFP effector, they allow tracing of the innervation of labelled neurons in the brain and ventral nerve cord.
Diverse sensory neuron expression and central projections of IR reporters in larval and adult stages
We first analysed Ir-Gal4 driven mCD8:GFP expression in third instar larvae (Fig. 1-2 and Supplementary Fig. 1). In this analysis, we also included Ir-Gal4 lines that are expressed in the adult antennae20, and incorporated our previous observations on a small subset of the non-antennal IR reporters15, 28. The larva contains a bilaterally-symmetric olfactory organ (dorsal organ) and several distinct gustatory organs located on the surface of the head and the internal lining of the pharynx (Fig. 1-2)39. As described previously27, 28, the drivers for the co-receptors IR25a and IR76b (but not IR8a) are broadly expressed in all of these chemosensory organs (Fig. 1-2). Expression of Gal4 drivers for only four other antennal IRs was detected in the dorsal organ: IR21a and IR93a, which act (with IR25a) in cool temperature-sensing21, 40, IR68a, which functions (with IR25a and IR93a) in moist air sensing22, 24 and IR92a, which mediates olfactory sensitivity to ammonia14, 41. These observations suggest that the larval dorsal organ, like the adult antenna, has olfactory, thermosensory and hygrosensory roles.
Most reporters (27/44) of the remaining non-antennal IR repertoire are detected in bilaterally-symmetric populations of ~1-3 neurons in one or more larval gustatory sensory organs, including head sensory neurons in the terminal and ventral organs, and internal neurons in the dorsal, ventral and posterior pharyngeal sense organs (Fig. 1-2). Commensurate with these different peripheral expression patterns, the labelled neurons display diverse projection patterns in the primary gustatory centre, the subesophageal zone (SEZ) (Supplementary Fig. 1). Several reporters, for IR7d, IR7g, IR10a, IR68b and IR85a, are also detected in neurons in each segment of the abdomen, which project to the ventral nerve cord (VNC) (Fig. 1 and Supplementary Fig. 1).
In adults, analysis of the new Ir-Gal4 drivers did not identify any additional antennal-expressed IRs (Fig. 1). However, 21 reporters were detected within one or more populations of sensory neurons in external taste organs, including the taste bristles that project from the surface of the labellum, the labellar taste pegs, and the pharyngeal taste organs (Fig. 1 and Fig. 3). Furthermore, from examination of the central projections of these neurons to the SEZ and VNC, we surmised their expression in a variety of other taste organs, including the legs, wings, as well as those that may project from the abdomen (Fig. 1 and Supplementary Fig. 2). We noted sexually-dimorphic projection patterns in only two reporters: Ir52c-Gal4 (similar to that previously described26) and Ir94e-Gal4 (Supplementary Fig. 2); the latter driver also displays expression in a few soma within the SEZ (Supplementary Fig. 2).
Relationship between receptor phylogeny, expression and life stage
We combined these data with additional sites of expression revealed by a distinct set of reporters for a subset of IRs (the “IR20a clade”26, which were built using 5’ genomic regions of slightly different lengths as well as 3’ sequences) to produce a global picture of Ir expression (Fig. 1). This analysis was organised by IR phylogeny, to examine the relationship between receptor protein sequences and spatiotemporal expression patterns. For the 44 non-antennal IRs, 32 reporters were expressed in larvae and 27 in adults, of which 17 were common to these life stages. Stage-specific receptors were found throughout the phylogeny (Fig. 1), rather than being confined to a single clade. Of the larval-specific IRs, nothing is currently known about their function; the adult-specific repertoire includes the Ir52a-d clade, some members of which control male mating behaviours26.
In both life stages, drivers for some IRs that are closely-related in sequence (and often – but not always – encoded by tandemly-arrayed genes) are expressed in the same contact chemosensory organ (e.g., IR48b, IR48c, IR60e, IR67b, and IR67c). This observation suggests that these more recently duplicated receptor genes retain similar cis-regulatory elements. However, this relationship is not strictly-held, as reporters for other, recently-diverged receptors can have quite different expression patterns (e.g., IR10a and IR100a). Evolutionary proximity of IRs may therefore be most reflective of relationships in function (i.e., ligand recognition), as is true for antennal IRs20. If this hypothesis is correct, the expression data presented here suggests that functionally-related clades of receptors act in several distinct types of chemosensory organ.
Ir56d is expressed in labellar taste peg and taste bristle neurons
To determine the gustatory function of one of the non-antennal IRs, we focussed on IR56d, motivated by its unique expression: Ir56d-Gal4 is the only reporter expressed in neurons housed in the taste pegs, a class of short sensory hairs that lie between cuticular grooves (pseudotracheae) on the inner medial surface of the labellum (Fig. 4a-b). The driver is also expressed in neurons innervating taste bristles, which project from the external surface of the labellum (Fig. 4a-b). To validate the expression of the Ir56d-Gal4 transgene, we attempted to detect endogenous Ir56d transcripts or the encoded protein but these efforts were unsuccessful (J.A.S.-A., A.S. and R.B., unpublished). We therefore used CRISPR/Cas9 genome editing to replace the endogenous Ir56d locus with Gal4 to generate an independent driver line (Ir56dGal4) in which all relevant genomic regulatory regions should be present (Supplementary Fig. 3a). When combined with UAS-mCD8:GFP, Ir56dGal4 displayed a highly similar expression pattern to the Ir56d-Gal4 transgene (Supplementary Fig. 3b), indicating that the original promoter reporter faithfully recapitulates endogenous gene expression.
To characterise the identity of the IR56d neurons, we combined this driver (or an equivalent Ir56d-LexA transgene; see Methods) with reporters for other populations of labellar neurons. We first confirmed that IR56d neurons express the broadly-expressed IR25a and IR76b (Fig. 4c), suggesting that IR56d may function with one or both of these co-receptors. Morphological studies have shown that taste pegs contain one presumed mechanosensory and one chemosensory neuron42. The mechanosensory neuron can be visualised with a promoter reporter for the NOMPC mechanoreceptor (nompC-LexA)43, 44). We observed that nompC-LexA labelled neurons paired, but did not overlap, with Ir56d-Gal4-positive taste peg neurons (Fig. 4d). By contrast, Ir56d-Gal4-expressing cells in the taste pegs co-localised with those labelled by the E409-Gal4 enhancer trap, which labels at least a subset of the peg chemosensory neurons9 (Fig. 4e). Taste bristles house two to four gustatory neurons, including those tuned to sweet and bitter stimuli, labelled by reporters for Gr5a and Gr66a, respectively3, 6. Ir56d-Gal4 taste bristle neurons were completely distinct from Gr66a-positive cells, but overlapped with a subset of the Gr5a-expressing neurons (Fig. 4f-g).
Consistent with the expression in pegs and bristles, Ir56d-Gal4 neurons project to two distinct regions of the SEZ: the Anterior Maxillary Sensory zone 1 (AMS1), and the Posterior Maxillary Sensory zone 4 (PMS4) (Fig. 4h)45. Co-labelling of these neurons with the Gr5a reporter demonstrated that the taste bristle subpopulation innervates PMS4, indicating that the taste peg neurons project to AMS1 (Fig. 4h), consistent with previous observations9, 45.
Ir56d taste peg neurons are gustatory carbonation sensors
To determine the physiological specificity of IR56d neurons, we expressed the fluorescent calcium indicator GCaMP3 under the control of Ir56d-Gal4 (Fig. 5a), and measured changes in fluorescence in their axon termini in the SEZ upon presentation to the proboscis of a panel of diverse taste stimuli, including sugars, bitter compounds, amino and organic acids, high and low NaCl concentrations, carbonated solutions and buffers of different pH (Fig. 5b-c). We quantified separately GCaMP3 fluorescence changes in the AMS1 and PMS4 projections, reflecting activity of taste peg and taste bristle subpopulations, respectively. AMS1 neurons responded strongly to carbonated solutions (Fig. 5c), but not to other tastants in this panel. These data – together with our co-expression analysis (Fig. 4e) – identify the Ir56d taste peg neurons as the carbonation-sensing cells that were previously only recognised by their expression of the E409-Gal4 enhancer trap9.
PMS4 neurons displayed a broader response profile, showing the largest GCaMP3 fluorescence changes upon stimulation with sucrose and other sugars, consistent with these neurons representing a subset of the Gr5a-expressing sweet sensing neurons housed in taste bristles (Fig. 4g). We also detected weaker responses to glycerol, acetic acid, and – somewhat weakly and variably – to carbonated solutions (Fig. 5c). These observations indicate that Ir56d subpopulations are both anatomically and physiologically distinct.
IR56d and the co-receptors IR25a and IR76b are required for sensory responses to carbonation
To address the contribution of IR56d to the sensory responses of the neurons in which it is expressed, we used CRISPR/Cas9 genome editing to generate two Ir56d mutant alleles; these contain frame-shift generating deletions predicted to truncate the protein within the presumed ligand-binding domain (Ir56d1) and before the ion channel domain (Ir56d2) (Fig. 6a). We performed calcium imaging in IR56d neurons in Ir56d mutant flies using sucrose and carbonation stimuli, which were the strongest agonists for the taste bristle (PMS4) and taste peg (AMS1) subpopulations, respectively (Fig. 5c). While responses of the mutants to sucrose were unaffected compared to control animals, responses to carbonation were abolished in Ir56d mutants (Fig. 6b-c). The defect in sensitivity to carbonation was restored upon selective expression of a wild-type Ir56d cDNA in these neurons (Fig. 6c).
We next tested the contribution of the two other IRs expressed in IR56d neurons, IR25a and IR76b. Mutations in each of these genes produced phenotypes that were very similar to those of Ir56d mutants: sucrose responses in the PMS4 were unaffected, while responses to carbonation were completely lost (Fig. 6b-c). Sensitivity to carbonation could be rescued by expression of wild-type cDNA transgenes in the corresponding mutant background (Fig. 6b-c). Together these data suggest that the carbonation sensor comprises, at least in part, a complex of IR56d with the co-receptors IR25a and IR76b. The persistent sucrose responses in Ir56d taste bristle neurons lacking these IRs are consistent with the well-established role of GRs in sugar sensing in these cells3, 6.
Carbonation induces Ir56d-dependent attraction
Previous analysis of flies’ behavioural responses to carbonation indicated that this stimulus mediates taste-acceptance behaviour9. However, the neuronal basis of this response was difficult to determine because the E409-Gal4 enhancer trap available at the time of that study is expressed in many central neurons in addition to the taste pegs9, limiting its usefulness for neuronal manipulation experiments. With our characterisation of IR56d, we were now better positioned to more precisely examine the sensory basis of carbonation-evoked behaviours.
We first established a two-choice assay in which flies could freely explore a circular arena containing separate half-disks of filter paper soaked in carbonated or non-carbonated solutions (100 mM NaHCO3 pH 6.5 and 100 mM NaHCO3 pH 8.5, respectively; these ensure a long-lasting source of carbonation9). Flies were filmed during 90 min and their final position used to calculate a preference index for the carbonated solution (Fig. 7a). Wild-type flies showed a clear preference for the carbonated solution (Fig. 7b). This preference is not due to the pH difference of the solutions as flies do not show preference for phosphate buffered saline (PBS) pH 6.5 over PBS pH 8.5 (Fig. 7c); similarly, the slightly different salt concentrations in the carbonated and non-carbonated solutions (see Methods) could not account for the preference observed (Fig. 7d). These observations extend those made using a different positional-preference assay9, confirming that carbonation (a product of microbial fermentation) is a modestly attractive stimulus for Drosophila. Importantly, this preference is completely abolished in Ir56d mutant flies (Fig.7b); this defect in carbonation responses could be restored, albeit not to wild-type levels, by expression of Ir56d cDNA in IR56d neurons (Fig. 7b).
To investigate why flies display positional preference for carbonation, we performed additional behavioural assays. The best-established response of insects to attractive gustatory stimuli is the proboscis extension reflex (PER), which promotes contact of the feeding organ with the substrate. While PER is robustly triggered by sucrose (Fig. 7e), the carbonated solution used in the two-choice assay (100 mM NaHCO3 pH 6.5) triggered a marginally significant more PER than the control non-carbonated solution (100 mM NaHCO3 pH 8.5) (Fig. 7e). To eliminate any contribution of salt-stimulated PER, we also performed PER assays with fresh commercial carbonated and non-carbonated water, which have only trace levels of minerals (Supplementary Table 2). Here, both stimuli induced similarly low levels of PER (Fig. 7f). Finally, we examined whether PER can be triggered by optogenetic activation of taste peg neurons using the red-light sensitive channelrhodopsin CsChrimson (Fig. 7g). In positive control animals, in which CsChrimson was expressed under the control of a Gr5a driver or our Ir56d driver (which is expressed in both taste pegs and sugar-sensing neurons in taste bristles), exposure of the labellum to red light induced, as expected, robust PER (Fig. 7g). By contrast, selective activation of the taste peg neurons (using the E409-Gal4 driver) did not (Fig. 7g). Together these results argue that carbonation-evoked activity in taste peg neurons is insufficient to activate the PER motor response.
We asked instead whether carbonation influences food ingestion using Expresso, an automated feeding assay that can measure the number and volume of individual meal-bouts46. When comparing feeding of wild-type flies on carbonated and control solutions, we found no difference in any of the parameters measured (Supplementary Fig. 4a). However, we noted that these stimuli were very poor inducers of feeding, with fewer than half the flies consuming very low volumes of solutions. We reasoned this was due to the lack of a nutritious substance, and repeated the assays in the presence of a low concentration of sucrose (5 mM), which is moderately attractive to Drosophila47. This sugar supplement greatly increased consumption by the flies, but we again did not observe any enhancement of feeding by carbonation (Supplementary Fig. 4b).
Ir56d mediates hexanoic acid-dependent physiological and behavioural responses in taste bristles
In the course of completion of our study, the taste bristle neurons that co-express Ir56d and sweet-sensing Grs in the labellum and legs were found to mediate physiological and behavioural responses to medium chain fatty acids34, 35. We confirmed these observations by showing that hexanoic acid activates IR56d neurons, noting that the strongest responses occur in taste peg neurons (Supplementary Fig. 5a-b). The molecular basis of fatty acid detection was, however, unclear, with conflicting reports about the requirement for GRs in these responses (see Discussion)34, 36. Using our Ir56d mutant, we found that hexanoic acid-evoked activity requires an intact Ir56d gene (Supplementary Fig. 5a-b), suggesting that IR56d functions both in carbonation and fatty acid detection. In contrast to carbonation, however, fatty acids evoke PER, and this behaviour is abolished in Ir56d mutants (Supplementary Fig. 5c). As taste peg neuron activation does not trigger PER (Fig. 7e-g), these observations suggest that hexanoic acid-evoked activity in taste bristles is responsible for this behaviour, as proposed previously35. Consistent with this hypothesis, RNAi of Ir56d specifically in the sweet-sensing Gr neuron subpopulation eliminates fatty acid-induced PER34.
Discussion
This work describes the first family-wide survey of the in vivo expression of IRs in Drosophila, revealing remarkable diversity in the neuronal expression patterns of members of this repertoire across all known chemosensory organs in both larvae and adults. These observations reinforce previous conclusions from analyses of subsets of these genes15, 26–28 that the non-antennal IRs function to detect a myriad of chemical stimuli to evoke a variety of behavioural responses. Such properties presumably apply to the vast, divergent IR repertoires of other insect species15, for example, the 455 family members of the German cockroach Blatella germanica18, or the 135 IRs of the mosquito Aedes aegypti48. Within Drosophila we did not detect obvious relationships between IR phylogeny and stage- or organ-specific expression patterns. Phylogenetic proximity may therefore be most indicative of functional relationships between IRs, as is the case for those expressed in the antenna20.
An important caveat to the transgenic approach we used to reveal expression is the faithfulness of these reporters to the endogenous expression pattern of Ir genes. Although this strategy has been widely (and successfully) used for antennal IRs other chemosensory receptor families, it is impossible to determine reporter fidelity without a complementary tool (e.g., receptor-specific antibodies or tagging of the endogenous genomic locus). We note discrepancies between the expression of some of our Ir-Gal4 lines and those described previously26; many of these probably reflect differences in the length of regulatory regions used to create these distinct transgenes. Precise comparison of independently-constructed transgenic constructs may in fact be useful in informing the location of enhancer elements directing particular temporal or spatial expression patterns. Moreover, transgenic reporters provide powerful genetic tools for visualisation and manipulation of specific neuronal populations. The reagents generated here should therefore provide a valuable resource for further exploration of the IRs in insect gustatory biology.
Using our atlas, we identified IR56d – together with the broadly-expressed co-receptors IR25a and IR76b – as essential for responses of labellar taste peg neurons to carbonation. Such observations implicate IR56d as the previously unknown tuning receptor for this stimulus9. However, these IRs do not appear to be sufficient for carbonation detection, as their misexpression in other neurons failed to confer sensitivity to carbonated stimuli (J.A.S.-A. and R.B., unpublished data). This observation suggests that additional molecules or cellular specialisations are required. Such a factor may be rather specific to taste pegs, given the minimal responses of Ir56d-expressing taste bristle neurons to carbonation, but does not appear to be another IR, as Ir56d-Gal4 is the unique reporter expressed in this population of cells.
While precise mechanistic insights in carbonation sensing will require the ability to reconstitute IR56d-dependent carbonation responses in heterologous systems, it is interesting to compare how insects detect carbonation with the main mammalian gustatory carbonation sensor, the carbonic anhydrase Car449. Car4 is an enzyme tethered to the extracellular surface of “sour” (acid) taste receptor cells in lingual taste buds, where it is thought to catalyse the conversion of aqueous CO2 into hydrogencarbonate (bicarbonate) ions (HCO3−) and protons (H+). The resulting free protons, but not hydrogencarbonate ions, provide a relevant signal for the sour-sensing cells49. By contrast, IR56d neurons are not responsive to low pH, suggesting a different chemical mechanism of carbonation detection. Our observation that IR56d is also essential for sensitivity to hexanoic acid suggests that IR56d could recognise the common carboxyl group of hydrogencarbonate and fatty acid ligands. However, IR56d neurons are not responsive to all organic acids, indicating that this cannot be the only determinant of ligand recognition.
Our characterisation of IR56d neurons extends previous reports34–36 to reveal an unexpected complexity in the molecular and neuronal basis by which attractive taste stimuli are encoded. The taste bristle population of IR56d neurons represents a subset of sugar-sensing neurons that are also responsive to fatty acids, glycerol and, minimally, to carbonation. Although activation of these neurons promotes PER, we find that carbonation-evoked stimulation is insufficient to trigger this behaviour, perhaps reflecting a subthreshold activation of this population and suggesting taste bristles are not a relevant sensory channel for this stimulus. While members of a specific clade of GRs are well-established to mediate responses to sugars and glycerol3, 6, 36, 50, the detection mechanisms of fatty acids are less clear. Earlier work demonstrated an important role of a phospholipase C (PLC) homologue (encoded by norpA) in fatty acid responses10. More recently, GR64e was implicated as a key transducer of fatty acid-dependent signals, but suggested to act downstream of NorpA, rather than as a direct fatty acid receptor36. By contrast, an independent study showed that all sugar-sensing Gr genes (including Gr64e) were dispensable for fatty acid detection, and provided evidence instead for an important role of IR25a and IR76b in these responses34. Analysis of our Ir56d mutant further favours an IR-dependent fatty acid-detection mechanism; future work will be needed to relate this to the reported requirements for GR64e and NorpA.
The Ir56d taste peg population is, by contrast, sensitive to carbonation and fatty acids but not sugars or glycerol, and these responses can be ascribed to IR56d (a Gr64eLexA reporter is not expressed in taste peg neurons51). Although these neurons mediate taste-acceptance behaviour, they do not appear to promote proboscis extension or food ingestion. Recent work using optogenetic neuronal silencing experiments provided evidence that taste peg neuron activity is important for sustaining, rather than initiating, feeding on yeast, by controlling the number of “sips” an animal makes after proboscis extension52. These observations are concordant with the internal location of taste pegs on the labellum, as they will not come into contact with food until the proboscis has been extended, and could explain the positional preference for carbonated substrates that we observed. We suggest that main function of carbonation, a non-nutritious microbial fermentation product, is to regulate – via activation of IR56d taste peg neurons – this distinct motor programme as part of a multicomponent gustatory behavioural response.
Methods
Transgene generation
Ir-Gal4 lines were constructed using standard methods15, 28 (Supplementary Table 1) and inserted into the attP2 landing site53, by normal transformation procedures (Genetic Services, Inc.). Ir56d-LexA was made by subcloning the same genomic sequence as in Ir56d-Gal4 upstream of LexA:VP16-SV4054 in pattB55 and transformation into attP2. UAS-Ir56d was made by PCR amplification of the Ir56d (single-exon) ORF from w1118 genomic DNA, which was T:A cloned into pGEM-T Easy and sequenced, before subcloning into pUASTattB55, and transformation into attP4053.
Drosophila strains
Drosophila stocks were maintained on a standard corn flour, yeast and agar medium under a 12 h light:12 h dark cycle at 25°C. The wild-type strain was w1118. Other mutant and transgenic strains were: Ir25a2 14, Ir76b2 7, Ir25a-Gal425, Ir76b-Gal4 (insertions on chromosome 2 or 3)20, Gr5a-LexA56, Gr66a-LexA57, nompC-LexA43, E409-Gal49, UAS-Ir25a25, UAS-Ir76b7, UAS-GCaMP358, UAS-mCD8:GFP59, UAS-CD4:tdTomato60, UAS-mCD8:RFP61, LexAop-mCD8:GFP-2A-mCD8:GFP54, LexAop-rCD2:GFP54, UAS-CsChrimson62.
CRISPR/Cas9-based genome editing
IR56d1 a nd Ir56d2: we identified two CRISPR target sequences within the Ir56d locus using ZiFiT (zifit.partners.org/ZiFiT/)63 that are both unique within the genome and which contain an adjacent 3’ protospacer adjacent motif (PAM) (Fig. 6a). We generated DNA templates for synthetic guide RNA synthesis by PCR using standard procedures64 using the following oligonucleotides: CRISPRsgR with either CRISPRsgF-Ir56d1 or CRISPRsgF-Ir56d2 (Supplementary Table 3). The template was transcribed in vitro with T7 polymerase, RNA was microinjected into vas-Cas9 flies (expressing Cas9 specifically in the germline65) and mutations in the target sequence region screened by Genetic Services Inc. After establishment of homozygous mutant lines, mutations were reconfirmed by Sanger sequencing.
Ir56dGal4: the Gal4 knock-in allele was generated via CRISPR/Cas9 mediated homologous recombination. Two sgRNAs targeting the Ir56d locus were cloned into pCFD566 by Gibson Assembly to generate pCFD5-IR56dsgRNAs. Homology arms for the Ir56d locus were fused to the Gal4-hsp70-3’UTR were by PCR amplification using genomic DNA and pGal4attB15 as templates, respectively. The product was ligated into pHD-DsRed-attP65 after digestion with SapI and AarI (to generate the donor vector pHD-Ir56d-Gal4-DsRed-attP). pCFD5-IR56dsgRNAs and pHD-Ir56d-Gal4-DsRed-attP were co-injected into Act5C-Cas9,lig4[169] flies67 following standard protocols. Successful integration events were identified by screening for DsRed expression and diagnostic PCR. Subsequently, the DsRed marker was removed by injection of Cre recombinase. The oligonucleotides used are listed in Supplementary Table 3 and Supplementary Fig. 3a depicts a schematic of the Ir56dGal4 allele before and after DsRed removal.
Histology
Immunofluorescence on peripheral and central tissues from larvae and adult flies was performed following standard procedures28, 44. Primary antibodies: rabbit anti-IR25a (1:500)14, guinea pig anti-IR25a (1:200)21, mouse anti-GFP (1:500; Invitrogen), chicken anti-GFP (1:500; Abcam), rabbit anti-RFP (1:500; Abcam) and mouse anti-nc82 (1:10; Developmental Studies Hybridoma Bank). Secondary antibodies (all diluted 1:100-200): goat anti-mouse Alexa 488 (Invitrogen), goat anti-rabbit Cy3 (Milan Analytica, AG), goat anti-chicken Alexa488 (Abcam), goat anti-guinea pig Cy5 (Abcam) and goat anti-mouse Cy5 (Jackson ImmunoResearch). Images were collected with a Zeiss LSM 710 inverted laser scanning confocal microscope (Zeiss, Oberkochen, Germany), and processed with ImageJ and Fiji.
Optical imaging
Imaging was performed adapting previous protocols68, 69. In brief, a 1-3 week-old fly was cold-anaesthetised and inserted in a plastic holder glued to a custom Plexiglas chamber. The head and proboscis of the animal were separated by a plastic barrier that prevents contact between the buffer solution applied to the brain, and the tastant solution. The proboscis was extended using a blunted syringe needle (30g Blunt, Warner Instruments #SN-30) connected to a vacuum pump (KNF Laboport #N86KN.18) and kept extended using UV curing glue (Tetric EvoFlow, A1, Ivoclar Vivadent) solidified using a UV lamp (Bluphase C8, Ivoclar vivadent). Heads were fixed using the same UV glue and covered with Adult Hemolymph like-Saline buffer (in mM: 108 NaCl, 5 KCl, 2 CaCl2, 8.2 MgCl2, 4 NaHCO3, 1 NaH2PO4, 15 Ribose, 5 HEPES; pH 7.5; 265 mOsm). Brains were exposed by removing the cuticle using a microsurgical knife (Sharpoint, Surgical Specialties #72-1501). Complete exposure of the subesophageal zone required the removal of the esophagus. Delivery of the tastants was performed manually upon the emission of an acoustic signal at frame 20 after the onset of the recording, using a blunted 30g syringe needle place on a 1 ml syringe containing the solution (BD Plastipak #300013) and mounted on a micromanipulator (Narishige).
Images were acquired with a CCD camera (CoolSNAP-HQ2 Digital CameraSystem) mounted on a fluorescence microscope (upright fixed stage Carl Zeiss Axio Examiner D1) equipped with a 40x water-immersion objective (W “Plan-Apochromat” 40x/1,0 VIS-IR DIC). Excitation light of 470 nm was produced with an LED light (Cool LED pE-100, VisiChrome). Binned image size was 1000×700 pixels on the chip, corresponding to 250×175 μm in the preparation. Exposure time was 100 ms. Twenty-second films were recorded with an acquisition rate of 4Hz. Metafluor software (Visitron) was used to control the camera, light, and data acquisition.
Data were processed using NIH ImageJ and custom programs in Matlab (v9.0). Time-series images corresponding to one experiment were first aligned using StackReg/TurboReg (bigwww.epfl.ch/thevenaz/stackreg/) in NIH ImageJ. Raw images were then segmented into individual 80-frame measurements. Each measurement was bleach-corrected by fitting a double-exponential function to the relative mean fluorescence in the region of interest over time, excluding the frames covering 12.5 s after stimulus onset. We then calculated the relative change in fluorescence (ΔF/F) for each frame of each measurement as (ΔFi-F0)/F0×100, where F0 is the mean fluorescence value of frames 10–15 (before tastant presentation at frame 20), and Fi is the fluorescence value for the ith frame of the measurement. A circular region-of-interest (diameter 7 pixels) was used for quantification of all measurements from the same animal. The maximal value of ΔF/F between frames 20 and 60 for each stimulus was used to calculate the median value used for data representation and statistical analysis.
Behaviour
Two-choice positional preference assay
assays were performed in 94 mm Petri dishes (Greinier-bio-one #632180; 94×16 mm), divided in two halves (“A” and “B”) by placing two stacks of three-layered semi-circles of blotting paper (Macherey-Nagel #742113) separated by a 3-5 mm gap. Prior to the start of the experiment each semicircle stack was soaked with 3 ml of the desired test solution (see below and Supplementary Table 2). Up to 16 arenas were placed on a methacrylate panel (1.5 cm thickness) elevated 5.5 cm from the light source, which consisted of a 60×60 cm LED Panel (Ultraslim LED Panel,360 Nichia LEDs, Lumitronix) covered with red film (106 Primary Red, Showtec). 70-80 flies (mixed sexes; 2-3 day old, starved for 24 h in glass culture tubes with a Kimwipe paper wipe soaked with 2 ml of tap water; cold anaesthetised) were introduced into the centre of each arena and the lids replaced. When all flies had recovered mobility, the assay was started. Pictures were taken (using a USB 3.0 100 CMOS Monochrome Camera 2048× 2048 Pixel and a CCTV Lens for 2/300f:16 mm (iDS)) every 10 min up to 90 min using a custom Matlab code. The distribution of animals in the arena at 90 min was quantified using a custom macro in Fiji (code available upon request). Preference indices were calculated as: (# flies in A - # flies in B)/total # flies. For the experiments in Fig. 7b, different genotypes were run in parallel, and randomised with respect to arena position.
For carbonation preference tests, in order to ensure a slow but constant production of CO2 over the course of the assay (as described previously9) we used solutions of freshly-prepared 100 mM NaHCO3 that were adjusted to pH 6.5 (with 5 M NaH2PO4; ~1-1.5 ml/100 ml) for the carbonated side and pH 8.5 (with NaOH; <50 μl/100 ml) for the non-carbonated side. To test for preference due to pH, we use phosphate buffered saline (7.8 mM NaH2PO4, 12.2 mM Na2HPO4, 153.8 mM NaCl) solutions at pH 6.5 or 8.5 (Fig. 7c). To eliminate the possibility that preference differences were due to Na+ imbalance (due to a larger volume of 5 M NaH2PO4 required to set the pH of NaHCO3 at pH 6.5 than NaOH to set the pH to 8.5), we supplemented the NaHCO3 pH 8.5 solution with NaCl to achieve an ~150 mM [Na+] in both test solutions; flies retained the preference for the carbonated solution (Fig. 7d).
Proboscis extension reflex (PER) assay
tastant-evoked PER was assessed following a standard protocol70. Individual flies (mixed sexes; 3-5 days old, starved for 24 h) were introduced into yellow pipette tips (Starlabs #S1111.0706), whose narrow end was cut in order that only the fly’s head could protrude from the opening, leaving the rest of the body, including legs, constrained inside the tip. Tastants (Supplementary Table 2) were delivered using Kimwipe paper (Kimtech #7552) as described70 Each fly was first tested with water; where this caused PER, water was offered ad libitum, and the animal tested again. Only flies that showed negative PER for water were assayed with the other stimuli. Up to six flies were prepared simultaneously and tastants were randomised across trials.
Optogenetic induction of PER
flies were grown on standard food; prior to the experiment 3-5 day old flies were starved for 24 h in tubes containing a Kimwipe soaked in 2 mM all-trans-retinal (Sigma #R2500) in tap water. Flies were cold-anaesthetised and glued on their backs to the external side of a 94×16 mm plastic plate using UV curing glue (see above). Groups of 6-8 flies of the same genotype were prepared in a row and tested for PER to stimulation by a 650 nm laser diode (1 mW, Adafruit Industries #1054) aimed at the proboscis with an intensity of 2-2.5 μPW/mm2. Only full proboscis extensions were considered as positive.
Expresso food ingestion measurements and analysis
flies were maintained on conventional cornmeal-agar-sucrose medium at 23-25°C and 60-70% relative humidity, under a 12 h light:12 h dark cycle (lights on at 6am). Carbonated and non-carbonated control solutions were prepared as described above (either in water or with 5 mM sucrose). Food ingestion was measured in the Expresso device as previously described46. Individual flies (2 to 5-day old male w1118 flies, starved 24 h) were placed in the behavioural chamber with the doors in the closed position to prevent access to the liquid food in the calibrated glass capillaries. Expresso data acquisition software was started at which point all doors were opened giving flies synchronised access to liquid food. Each trial lasted ~33 minutes, and 10 flies were tested in parallel in two Expresso sensor banks. For each condition, 20-30 flies were tested. The measurements were performed at Zeitgeber Time (ZT) 6-10. The Expresso food ingestion data were analysed using a custom programme in Python (available upon request). The change points in the Expresso signal that denote a meal bout and the amount of food ingested were detected using the Pruned Exact Linear Time algorithm. Total ingestion was calculated as the total volume ingested per fly per trial. The latency was calculated as the time before the first meal after door opening. When a fly did not consume any food, the total meal bout volume was scored as 0 and latency to first meal bout was scored as the total time of the assay (i.e., 33 minutes). All data were analysed in R statistical software.
Statistics
Sample size was determined based upon preliminary experiments. Data were analysed and plotted using R (v1.0.153; R Foundation for Statistical Computing, Vienna, Austria, 2005; R-project-org) (code available upon request). Data were analysed statistically using different variants of the Wilcoxon test, except otherwise indicated. For comparisons between distributions, the Wilcoxon rank sum test was used. When P value correction for multiple comparisons was required, the Bonferroni method was used. For the experiments in Fig. 7b-d, we performed a Wilcoxon Signed Rank Test with the null hypothesis that the median of sampled values differs from zero. For PER assays we used the Fischer exact test. In Supplementary Fig. 4. pairwise comparisons using the Tukey and Kramer (Nemenyi) test with Tukey-Dist approximation for independent samples were performed.
Data availability
All relevant data supporting the findings of this study are available from the corresponding author on request.
Author contributions
The authors have made the following declarations about their contributions: Conceived and designed the experiments: J.A.S.-A., A.F.S., V.C., A.K.S., S.Y.S., T.O.A., G.L.N.-M., S.G.S., N.Y., R.B. Performed the experiments:J.A.S.-A. (Fig. 4, Fig. 6-7; Supplementary Fig. 3-5), A.F.S. (Fig. 5), V.C. (Fig.1-2; Supplementary Fig. 1), G.Z. (Fig. 7a-d), A.K.S. (Fig. 1, Fig. 3, Supplementary Fig. 2), S.Y.S. (Supplementary Fig. 4), T.O.A. (Supplementary Fig. 3), S.C. (Fig. 3), G.L.N.-M. (Fig. 2), R.B. (Fig. 6a). Analysed the data:J.A.S.-A.,A.F.S.,V.C., A.K.S., S.Y.S.,T.O.A., G.L.N-M N.Y., R.B.Contributed reagents/materials/analysis tools: J.A.S.-A., A.F.S., V.C., L.A., T.O.A., R.B. Wrote the paper: J.A.S.-A. and R.B., with input from all authors.
Acknowledgements
We thank Carolina Gomez-Diaz for assistance with CRISPR primer design, and acknowledge the Bloomington Drosophila Stock Center (NIH P40OD018537) and the Developmental Studies Hybridoma Bank (NICHD of the NIH, University of Iowa) for reagents. We thank members of the Benton lab for discussions and comments on the manuscript. J.A.S.-A. was supported by a Federation of European Biochemical Societies Long Term Fellowship, an EMBO Long Term Fellowship and a Human Frontier Science Program Long-term Fellowship. V.C. was supported by a Boehringer Ingelheim Foundation Fellowship. T.O.A. was supported by a Human Frontier Science Program Long-term Fellowship. Research in S.G.S.’s laboratory was supported by a European Research Council Starting Independent Research Grant (309832) and the Swiss National Science Foundation (31003A_149499). Research in N.Y.’s laboratory is supported by a Cornell University Nancy and Peter Meinig Family Investigatorship Program, a Pew Biomedical Scholar Award, and the Alfred P. Sloan Foundation Award. Research in R.B.’s laboratory was supported by the University of Lausanne, ERC Starting Independent Researcher and Consolidator Grants (205202 and 615094) and an SNSF Sinergia Grant (CRSII3_136307).