An auxin-inducible, GAL4-compatible, gene expression system for Drosophila

  1. Colin D McClure  Is a corresponding author
  2. Amira Hassan
  3. Gabriel N Aughey
  4. Khushbakht Butt
  5. Alicia Estacio-Gómez
  6. Aneisha Duggal
  7. Chee Ying Sia
  8. Annika F Barber
  9. Tony D Southall  Is a corresponding author
  1. Department of Life Sciences, Imperial College London, United Kingdom
  2. Waksman Institute and Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, United States

Abstract

The ability to control transgene expression, both spatially and temporally, is essential for studying model organisms. In Drosophila, spatial control is primarily provided by the GAL4/UAS system, whilst temporal control relies on a temperature-sensitive GAL80 (which inhibits GAL4) and drug-inducible systems. However, these are not ideal. Shifting temperature can impact on many physiological and behavioural traits, and the current drug-inducible systems are either leaky, toxic, incompatible with existing GAL4-driver lines, or do not generate effective levels of expression. Here, we describe the auxin-inducible gene expression system (AGES). AGES relies on the auxin-dependent degradation of a ubiquitously expressed GAL80, and therefore, is compatible with existing GAL4-driver lines. Water-soluble auxin is added to fly food at a low, non-lethal, concentration, which induces expression comparable to uninhibited GAL4 expression. The system works in both larvae and adults, providing a stringent, non-lethal, cost-effective, and convenient method for temporally controlling GAL4 activity in Drosophila.

Editor's evaluation

This work will be of interest to Drosophila geneticists in its development of a new tool for temporal control of gene induction by the widely-used bipartite Gal4/UAS system. By transferring protein modules from plants that mediate auxin-dependent protein degradation to control the stability of a Gal4-inhibitor (Gal80), the authors successfully demonstrate the ability to control Gal4 activity in flies through the provision of auxin in the food substrate and provide evidence for the sensitivity, specificity, and non-toxicity of this tool.

https://doi.org/10.7554/eLife.67598.sa0

Introduction

The ability to manipulate the expression of specific genes in model organisms has been the cornerstone of genetics research over the last 50 years. It is from such studies that geneticists have been able to elucidate fundamental biological process, such as those underlying neurodegenerative diseases (Lu and Vogel, 2009), oncogenic mechanisms (Villegas, 2019), and neural circuitry involved in memory formation (Cognigni et al., 2018).

The fruit fly, Drosophila melanogaster, has been at the forefront of genetics since its cultivation in the lab in the early 1900s, by geneticist Morgan, 1910. In the 100 years since, a plethora of genetic tools have been developed for this model organism, enabling geneticists to tightly control and manipulate gene expression, allowing them to study the roles of genes in development, physiology, and behaviour. One of the most prominent developments is the GAL4/UAS system, which has been an incredibly powerful tool for the spatial control of transgenes in Drosophila (Brand and Perrimon, 1993). This system relies on a cloned or endogenous promoter to drive the expression of the yeast transcription factor GAL4, which can then bind to the UAS (upstream activating sequence) sites upstream of a transgene and activate its expression. Since the development of this system, Drosophila researchers have created thousands of genetically distinct lines to enable expression of transgenes in specific populations of cells (e.g. Jenett et al., 2012; Robie et al., 2017). The majority of these lines are publicly available at the Bloomington Drosophila Stock Center (BDSC) and Vienna Drosophila Resource Center (VDRC).

GAL4 activity can be regulated by GAL80, a protein which antagonises GAL4 by inhibiting its activation domain (Lue et al., 1987), and thus the ability of the GAL4 to induce transcript expression (Lee and Luo, 1999; Suster et al., 2004). The generation of a fly line that ubiquitously expressed a temperature-sensitive version of GAL80 (GAL80ts) (Matsumoto et al., 1978) was a significant advance for the field, as it allowed temporal control of GAL4-induced transgene expression (McGuire et al., 2003). Flies can be kept at temperatures permissive of transcript expression (29°C) or temperatures that inhibit expression (18°C), offering researchers to control not only where, but when transgenes are expressed. The versatility of this system enabled researchers to determine time-specific effects of gene function, and is a system that is widely employed within the Drosophila community.

Although the impact of this technology on the field cannot be understated, it is becoming increasingly evident that using a temperature shift to induce gene expression is far from optimal for some experiments, especially in fields such as behaviour, neuropathy, and ageing. Flies, as ectotherms, are highly dependent on their ambient temperature, which affects a wide range of physiological and behavioural traits (Abram et al., 2017). These include sleep (Beckwith and French, 2019), territorial success (Zamudio et al., 1995), lifespan (McCabe and Partridge, 1997), development rate (Danjuma et al., 2014), immunity (Hunt et al., 2016), metabolism (Schou et al., 2017), and even their microbiome (Moghadam et al., 2018). Therefore, the use of a significant temperature shift to induce gene expression should be avoided in these contexts.

As an alternative approach, a range of drug-inducible systems have been developed, where the drug can be administered to flies in their diet to activate transcript expression (Barwell et al., 2017; Kogenaru and Isalan, 2018; Osterwalder et al., 2001; Potter et al., 2010; Sethi and Wang, 2017). These systems each have advantages and disadvantages (see Table 1) and are not often compatible with available GAL4 lines, thus requiring the creation (and optimisation) of their own drivers. In addition, the systems that are compatible with existing GAL4 lines can affect the fly’s physiology or survival, thereby limiting their use, and the certainty of any findings when employed. For example, the GeneSwitch system (Osterwalder et al., 2001) is not compatible with existing GAL4 lines and requires the user to generate a new modified GAL4 line. Furthermore, the system shows leaky expression in the absence of the drug (RU-486) (Poirier et al., 2008; Scialo et al., 2016), and RU-486 can cause behavioural changes (Li and Stavropoulos, 2016) and is dangerous to handle for pregnant women as it can cause termination of the pregnancy (Avrech et al., 1991). Another drug-inducible system utilised in Drosophila is the QF system (Potter et al., 2010). Here, QF is a transcriptional activator that can be inhibited by QS (analogous to GAL4 and GAL80). Quinic acid inhibits the repressive action of QS, therefore, can switch on transgene expression. Quinic acid is non-toxic for flies, however, the drawback of this system is that it is not compatible with the vast collection of existing GAL4 lines.

Table 1
Main advantages and disadvantages of the most common drug-inducible gene expression systems currently available to the Drosophila community.
Expression systemReferenceAdvantagesDisadvantages
GeneSwitchOsterwalder et al., 2001Non-toxic for adult fliesNot compatible with existing GAL4 linesLeaky expression (Poirier et al., 2008; Scialo et al., 2016)Larval exposure impacts on adult sleep patterns (Li and Stavropoulos, 2016)Drug is unsafe to handle for female researchersDrug is expensive
QF SystemPotter et al., 2010Non-toxic for fliesNot compatible with existing GAL4 lines
Tet-off GAL80Barwell et al., 2017GAL4/UAS compatibleLong induction time (>5 days)Requires x2 copies of the GAL80 transgeneAffects microbiota
TMPINDUCIBLEKogenaru and Isalan, 2018; Sethi and Wang, 2017GAL4/UAS compatibleCurrently not compatible for general use with existing GAL4 linesTMP drug is only dissolvable in DMSO (affects survival of larvae) or has to be added as a dry powder to food

The auxin-degron system, first identified in Arabidopsis, involves the auxin-dependent ubiquitination, and subsequent degradation, of proteins that are tagged with a specific auxin-inducible degron (AID) sequence (Dharmasiri et al., 2005; Dharmasiri and Estelle, 2002; Li et al., 2019). Its natural function allows for the prompt elimination of Aux/IAA transcription factors in plants and has been adapted for use in other species, most notably Caenorhabditis elegans, to artificially target proteins for rapid degradation (Zhang et al., 2015). In this system, the F-box protein TIR1, an auxin receptor, binds with conserved proteins Skp1 and Cullin to form a Skp1–Cul1–F-box (SCF) E3 ligase complex which ubiquitinates proteins tagged with an AID sequence in an auxin-dependent manner. The specificity and versatility of the system has made it an effective tool in multiple systems including mice (Yesbolatova et al., 2020) and human cell culture (Li et al., 2019).

Importantly, the auxin-degron system has been successfully employed in Drosophila (Chen et al., 2018; Trost et al., 2016). Trost and colleagues showed that AID-tagged EYFP and AID-tagged Rux protein levels could be knocked down in S2 cell lines and transgenic Drosophila, respectively. While Chen and colleagues knocked down AID-tagged PERIOD protein in the adult brain. Inspired by these studies, we have applied the auxin-degron system to enable both temporal and spatial control of transgene expression when combined with the GAL4/UAS system in Drosophila. This was achieved by creating a ubiquitously expressed GAL80 fused with AID tags, such that GAL80 is degraded in the presence of the auxin phytohormone (Figure 1). We demonstrate that this system works in both larvae (5 mM auxin) and adult flies (10 mM), which are concentrations that do not affect fly survival, development, or locomotion (larval crawling and adult climbing). This auxin-inducible gene expression system (AGES) is safe to handle, cheap, easy to prepare, provides tuneable and stringent (i.e. not leaky) expression, and most importantly, is compatible with the majority of existing GAL4-driver lines developed by the Drosophila community.

Figure 1 with 1 supplement see all
Design and action of auxin-inducible gene expression system (AGES).

A tubulin promoter ubiquitously expresses the bicistronic TIR1 and AGES cassette. Auxin-inducible degron (AID)-tagged GAL80 is cleaved from the TIR1 due to the presence of the T2A sequence. In the absence of auxin, GAL80 can inhibit GAL4 activity, whilst the presence of auxin induces degradation of GAL80, allowing GAL4 to drive the expression of UAS-transgene(s).

Results

Generation of an auxin-degradable GAL80 Drosophila line

To generate an auxin-inducible system for control of GAL4 activity in Drosophila, we designed a transgene that would ubiquitously express two proteins, TIR1 and AID-tagged GAL80. (Figure 1). We included shorter AID sequences (minimal degron of IAA17) than previously used in Drosophila (Trost et al., 2016). Fusion of this minimal AID to luciferase resulted in a fusion protein with short half-life in plants (~10 min) (Dreher et al., 2006). We also instead used Arabidopsis thaliana TIR1 (AtTIR1), which has two point mutations (improving affinity and auxin sensitivity) that can deplete nuclear and cytoplasmic proteins in C. elegans (Zhang et al., 2015). The P2A sequence between AtTIR1 and AID-tagged GAL80 encodes a self-cleaving peptide that is known to work efficiently in Drosophila cell culture (Daniels et al., 2014). The AtTIR1-T2A-AID-GAL80-AID sequence was codon optimised, synthesised, and cloned downstream of the αTub84B promoter in pattB (Figure 1 and Figure 1—figure supplement 1). The αTub84B (tubulin) promoter drives expression of the bicistronic sequence in all cells, all of the time, and (in the absence of auxin) will inhibit any GAL4 activity. When present, auxin will tether the TIR1 to the AID sequences, triggering the degradation of GAL80 and the release of GAL4 inhibition (Figure 1).

AGES allows induction of GAL4 activity in the adult fat body

We combined the AGES with c564-GAL4 to see if we could get inducible expression in fat body. A nuclear localised GFP (nls-GFP) was used as a reporter of GAL4 activity. We first examined adult female flies that were placed on food containing different concentrations of 1-naphthaleneacetic acid potassium salt (K-NAA) auxin, which has shown to be more water soluble than NAA (Martinez et al., 2020). A negative control consisting of fly food without auxin (0 mM auxin) was included to investigate whether there was any leaky GAL4 activity in absence of auxin. After 24 hr, GFP fluorescence in the abdomen was assayed (note that there is some naturally occurring autofluorescence in the fly abdomen). At 5 and 10 mM, GFP fluorescence is clearly detectable in the abdomen of live female flies (Figure 2A). Based on this assay, 10 mM for 24 hr results in ~60% of the GFP fluorescence levels seen in the positive control (Figure 2B). At 1 mM there is no detectable GFP above background fluorescence, and the levels are indistinguishable from both the 0 mM and the negative control (lacking both the GAL4 driver and the UAS-nls-GFP). To provide an alternative and more direct assay of transgene induction, quantitative PCR (qPCR) was used to measure the levels of GFP mRNA (Figure 2C). Here, 5 and 10 mM show levels of mRNA equivalent to the positive control, while 0 mM showed no significant difference when compared with the negative control.

Figure 2 with 2 supplements see all
Auxin-inducible gene expression system (AGES) effectively induces GAL4 activity in Drosophila adults.

(A) Ventral images of live females that express GAL4 in fat body tissue. Ingestion of food containing auxin (≥5 mM for 24 hr) induces GAL4 activity and the expression of GFP. (B) Quantification of GFP levels. Pixel intensity thresholding was performed to isolate abdomens as regions of interest. The average pixel intensities from six replicates were quantified and analysed using Kruskal-Wallis test with Dunn pair-wise comparison (***, p < 0.001 and **, p < 0.01). (C) Quantitative PCR (qPCR) data for GFP mRNA levels using different concentrations of auxin (three biological replicates). Values were normalised to housekeeping gene RpL4 (Ribosomal Protein L4) and relative expression levels (compared to the negative control) were calculated using the ΔΔCt method. Y-axis displaying ΔΔCt values and statistics done using Kruskal-Wallis test with Dunn pair-wise comparison (*, p < 0.05). See Figure 2—source data 1 for raw data.

Adult males eat less than females (Wong et al., 2009), therefore, this will impact on auxin ingestion and possibly on transgene induction. As with females, we examined both GFP fluorescence levels in the abdomen, and GFP mRNA levels in male flies (Figure 2—figure supplement 1). Although reduced compared to females, there is still a robust induction of GFP expression.

To assess how quickly transgene expression is turned off after removal of auxin from the food, we performed a time course experiment using adult females and 10 mM auxin. After 24 hr, flies were shifted to food without auxin and GFP fluorescence levels in the abdomen measured every 24 hr. At 48 hr (24 hr without auxin), GFP levels were reduced (Figure 2—figure supplement 2A). At 72 and 96 hr, the levels were not significantly different to 0 hr. Furthermore, we tested how stable auxin is in prepared food kept at 4°C. Even after 15 weeks, the auxin food could induce GFP levels to that of newly prepared food (Figure 2—figure supplement 2B).

AGES allows induction of GAL4 activity in Drosophila larvae

In addition to the need for temporal control of GAL4 activity in the adult, researchers might also want to induce expression at specific points during larval development. To test if AGES works in larvae, we used the c564-GAL4 fat body driver and tested multiple auxin concentrations (Figure 3A and C). Here, we observed that expression could be induced at lower concentrations of auxin. When using food containing no auxin, there is no detectable GFP, whereas with 1 mM auxin, GFP is expressed, although at lower levels than with higher concentrations of auxin (Figure 3A and C). Five mM auxin is an optimal concentration, as concentrations above that do not increase GFP levels. Five mM auxin can induce low-level GFP expression after 6 hr (Figure 3B and D). However, 18 hr is required to provide maximum levels of expression.

Auxin-inducible gene expression system (AGES) allows induction of GAL4 activity in Drosophila larvae.

(A) GFP fluorescence quantification in fat body tissue after induction (for 24 hr) on food with different concentrations of auxin. The average pixel intensities from six larvae were quantified and analysed using Kruskal-Wallis test with Dunn pair-wise comparison (***, p < 0.001 and **, p < 0.01). (B) Time course of GFP expression in fat body tissue when using 5 mM auxin. The average pixel intensities from six larvae were quantified and analysed using Kruskal-Wallis test with Dunn pair-wise comparison (**, p < 0.01). (C) Representative images of larvae fed on different concentrations of auxin. (D) Representative images of larvae imaged at each time interval since induction. See Figure 3—source data 1 for raw data.

Use of AGES for controlling cell-specific transgene expression in the larval and adult nervous system

For AGES to work with GAL4 lines expressed in the central nervous system, auxin must be able to pass the selectively-permeable glial membrane, akin to the mammalian blood-brain barrier (Limmer et al., 2014). NAA can cross the blood-brain barrier in Drosophila (Chen et al., 2018). To verify this using K-NAA, we first used elav-GAL4 (expressed in all neurons) and examined the expression of GFP in the adult brain. Similar to the fat body c564-GAL4 driver, we observe robust expression of GFP, when flies are fed auxin food (10 mM) for 24 hr (Figure 4—figure supplement 1). This demonstrates that AGES works in the central nervous system and that K-NAA auxin can cross the blood-brain barrier in Drosophila.

We then tested more restricted GAL4-driver lines in the larval ventral nerve cord (grh-GAL4) and in the adult (Or85a-GAL4). In both cases there was no detectable GAL4 activity in the absence of auxin, while in the presence of auxin (10 mM for adults and 5 mM for larvae) GFP in a pattern consistent with the GAL4 driver is observed (Figure 4A and C) at levels significantly above background fluorescence levels (Figure 4B and D).

Figure 4 with 1 supplement see all
Auxin-inducible gene expression system (AGES) allows induction of GAL4 activity in the Drosophila adult and larval brain.

(A) GFP fluorescence driven by Or85a-GAL4 in the antennal lobe, with and without auxin. (B) GFP fluorescence quantification in the antennal lobe 24 hr after induction (four to six replicates). Statistics performed using ordinary one-way ANOVA (*, p < 0.05). (C) GFP fluorescence driven by grh-GAL4 in the larval ventral nerve cord, with and without auxin. (D) GFP fluorescence quantification in the ventral nerve cord 24 hr after induction (six replicates). Statistics performed using ordinary one-way ANOVA (*, p < 0.05). See Figure 4—source data 1 for raw data.

Effects of auxin on development, adult survival, and behaviour

For a universally applicable drug-inducible system, the drug should not impact on development or mortality of the flies. We tested whether continuous exposure to different concentrations of auxin (K-NAA) would impact on developmental timing. Time to pupation (from egg-laying) is unaffected for concentrations up to 5 mM, however, 10 mM caused a delay of approximately 1 day (Figure 5A). Ten mM auxin causes some developmental delay, although it has no impact on the survival of the flies through these developmental stages (compared to a no auxin control) (Figure 5B). These data indicate that 10 mM auxin should be avoided for larval induction, however, this is not an issue as >1 mM is sufficient for robust induction of expression (Figure 5A) and 5 mM does not cause any developmental delay. Concentrations of 5 and 10 mM auxin can induce expression in adults (Figure 2 and Figure 2—figure supplement 1). Survival assays on both male and female adults show that concentrations of 5 and 10 mM have no effect on survival and lifespan (Figure 5D and E). Therefore, in summary, up to 5 mM auxin is optimal for use in larvae, whilst up to 10 mM auxin is best for use in adults. We also tested whether auxin affects locomotion of larvae (crawling assay) and adults (climbing assay) and see no significant effects with 5 and 10 mM auxin, respectively (Figure 5—figure supplement 1).

Figure 5 with 1 supplement see all
Impact of auxin on developmental timing and survival.

(A) Time taken from egg-laying to wandering L3 larvae. (B) Time taken from egg-laying to pupation. (C) Survival across developmental stages (larval to pupal and pupal to adult) with 10 mM auxin. (D) Survival of adult females during continuous exposure to auxin. (E) Survival of adult males during continuous exposure to auxin. Logrank test and weighted Gehan-Breslow-Wilcoxon model (ns) were used for the adult survival assays. See Figure 5—source data 1 for raw data.

Figure 5—source data 1

Raw data for larval crawling and adult climbing assays.

https://cdn.elifesciences.org/articles/67598/elife-67598-fig5-data1-v1.xlsx

AGES allows inducible manipulation of Drosophila adult circadian locomotor rhythms

To determine whether AGES is suitable for acute adult behavioural manipulation, we recapitulated a classic GeneSwitch manipulation of clock neuron excitability using AGES (Depetris-Chauvin et al., 2011). A key circuit for control of Drosophila rhythmic behaviour is the ventrolateral neuron (LNv) cluster, of which the small ventrolateral neurons (sLNvs) are both necessary and sufficient for maintenance of free-running locomotor rhythms (Grima et al., 2004; Renn et al., 1999; Stoleru et al., 2004). The four large LNvs and four out of five sLNvs express the neuropeptide pigment dispersing factor (PDF) (Helfrich-Förster, 1995; Renn et al., 1999). PDF is a key clock output neuropeotide required for synchronisation of clock neuron groups, and loss of PDF function results in arrythmicity, desynchronisation of clock oscillators, and altered period length (Lear et al., 2009; Lin et al., 2004; Peng et al., 2003; Sheeba et al., 2008). Adult-specific silencing of PDF+ LNvs by expression of the inwardly rectifying potassium channel Kir2.1 using PDF-GAL4-GeneSwitch is sufficient to nearly ablate circadian locomotor rhythms in constant conditions without resetting the molecular clock (Depetris-Chauvin et al., 2011).

To recapitulate this behavioural experiment, we combined the PDF-GAL4 line with the AGES to allow auxin-inducible control of Kir2.1 expression in PDF+ neurons. We simultaneously replicated GeneSwitch-driven Kir2.1 expression in PDF+ neurons. After eclosion and entrainment to a 12 hr light:12 hr dark (12:12 LD) schedule on standard fly food, flies were individually loaded into activity tubes and placed in the Drosophila activity monitoring (DAM) system (Trikinetics) for 3 days in 12:12 LD, followed by 8 days in constant darkness (DD). Control activity tubes contained standard DAM food (2% agar, 5% sucrose) while experimental food contained RU-486 (200 mg/mL) or NAA (2 or 10 mM). In contrast to the previous experiments, NAA auxin was used here instead of K-NAA auxin. Analysis of the amplitude of the behavioural locomotor rhythm in constant darkness by fast Fourier transform (FFT) (Plautz et al., 1997) showed robust inhibition of locomotor rhythms in both male and female experimental PDF-GAL4; AGES > UAS-Kir2.1 flies on 2 or 10 mM NAA (Figure 6A-D, Figure 6—figure supplement 1A,B). Two mM NAA was sufficient to completely ablate circadian locomotor rhythms in both male and female experimental flies (Figure 6C and D), without a significant effect on average 24 hr locomotor activity of parental controls (Figure 6—figure supplement 2 A-D). Two mM NAA feeding significantly lengthened the behavioural period of male PDF-GAL4/+; AGES/+ parental controls by 19 min, with no effect on females of the same genotype. In agreement with the classic study by Depetris-Chauvin et al., 2011, 200 μg/mL RU-486 feeding also reduced circadian locomotor rhythms in both sexes of flies with PDF-GAL4-GeneSwitch-driven expression of Kir2.1 (Figure 6E and F), though the effect was not as strong as 2 mM NAA feeding in the AGES flies. In addition, RU-486 feeding resulted in a broader distribution of locomotor rhythm strengths and a net increase in rhythmicity in male PDF-GAL4-GeneSwitch parental control flies (Figure 6E), which was accompanied by a 51 min increased period length and increased average 24 hr locomotor activity (Figure 6—figure supplement 2G). RU-486 also increased the period of female PDF-Gal4-GeneSwitch parental controls by 46 min, with no effect on total activity or rhythm strength (Figure 6F, Figure 6—figure supplement 2F,H). In summary, we find that 2 mM NAA feeding is sufficient for AGES-induced expression of Kir2.1 in adult PDF+ clock neurons to ablate circadian locomotor behaviour. Indeed, we observed a stronger ablation of locomotor rhythmicity in the AGES compared to GeneSwitch, with fewer off-target behavioural effects of NAA feeding of parental control flies.

Figure 6 with 2 supplements see all
Auxin-inducible gene expression system (AGES) induced expression of Kir2.1 in PDF+ clock neurons ablates circadian locomotor rhythms.

(A, B) Representative double-plotted actograms for 5- to 10-day-old male flies maintained on standard food (A) or food supplemented with 2 mm NAA (B) for 3 days in 12 hr light:12 hr dark (12:12 LD) and 7 days in DD. Left: parental control UAS-Kir2.1, centre: parental control PDF-GAL4; AGES, right: experimental PDF-GAL4/UAS-Kir2.1; AGES/+. Bars indicate LD cycle, grey shaded days indicate constant darkness. (C) Amplitude of circadian rest:activity rhythms on DD days 2–8 represented by fast Fourier transform (FFT) power at 24 hr for male PDF-GAL4;AGES > UAS-Kir2.1 flies and their parental controls on standard food (orange) and food supplemented with 2 mM NAA (blue). Points represent individual flies, box shows 25–75% confidence interval, median line, and outliers. (D) Twenty-four hr FFT power as in (C) for female PDF-GAL4;AGES > UAS-Kir2.1 flies and their parental controls. (E) Twenty-four hr FFT power for as in (C) male PDF-GAL4-Geneswitch > UAS-Kir2.1 flies and their parental controls maintained on vehicle control food (orange) and food supplemented with 466 mM RU-486 (red). (F) Twenty-four hr FFT power as in (E) for female PDF-GAL4-Geneswitch > UAS-Kir2.1 flies and their parental controls. For all panels, means were compared by two-way ANOVA by genotype and food substrate, see Figure 6—source data 1 for raw data, p-values, and key resource data. Means sharing the same letter are not significantly different from one another by Tukey’s post hoc test (p > 0.05).

Figure 6—source data 1

Raw data, p values and key resource data for circadian and activity behaviourial experiments.

https://cdn.elifesciences.org/articles/67598/elife-67598-fig6-data1-v1.xlsx

Discussion

The GAL4/UAS/GAL80ts systems enable Drosophila researchers to control the expression of transgenes both spatially and temporally. However, the impact of the required temperature shift on physiology and behaviour to activate/deactivate the system can affect the experimental results and subsequent conclusions (Abram et al., 2017). Drug-inducible systems have been developed as an alternative to the GAL80ts method, however, these are not ideal, limited by issues such as leaky expression, long induction times, or incompatibility with existing GAL4 lines. Here, we present AGES, an auxin-inducible gene expression system, which eliminates the need for temperature shifts to manipulate temporal expression and lacks many of the drawbacks of the current drug-inducible systems.

A significant benefit of AGES over existing systems is its compatibility with most existing GAL4-driver lines. Currently, the most prevalent drug-inducible expression systems, that is, the GeneSwitch (Osterwalder et al., 2001) and the Q-system (Potter et al., 2010), require the generation of their own driver lines. AGES uses a GAL80 fusion protein, which allows the use of the system alongside the majority of existing GAL4-driver lines, whereby suppression of the GAL4-UAS activation is achieved in all cells where auxin is absent. Notable exceptions are split-GAL4 lines that do not use the GAL4 activation domain. As with all GAL80-based methods of GAL4 control, the GAL4 line must contain the standard GAL4 activation domain for GAL80 to be affective. There are split-GAL4 lines that use the GAL4 activation domain (Luan et al., 2006; Pfeiffer et al., 2010), however, many use a p65 activator domain (Dionne et al., 2018; Tirian and Dickson, 2017), or a VP16 activator domain (Luan et al., 2006), which will not work with AGES. We have demonstrated the system using multiple driver lines, including c564-GAL4, elav-GAL4, grh-GAL4, Or85a-GAL4, and PDF-GAL4. These were, in part, used to assess whether the auxin hormone used (K-NAA) could freely access various cell types within the fruit fly, particularly the central nervous system where auxin must pass the selectively permeable glial membrane, akin to the mammalian blood-brain barrier (Limmer et al., 2014). Our results, using one fat body GAL4 driver and four different central nervous system GAL4 drivers, demonstrate that auxin can transverse the blood-brain barrier, and that this system should, in theory, be compatible with all other GAL4 lines that contain a GAL4 activation domain.

Successful gene driver systems require negligible expression when un-induced. While some current systems are known to exhibit leaky expression (Scialo et al., 2016), AGES demonstrates an almost complete repression of GAL4 activity when un-induced. Using GFP fluorescence as a readout, 0 mM auxin does not show any greater signal than the negative control (Figures 2B and 4). Also, the level of GFP mRNA without auxin showed no significant difference when compared to the negative control (Figure 2C). The AID tags on GAL80 allow the rapid, and tuneable, degradation of the GAL80 protein, providing users with the option to determine the strength of expression by adjusting the concentration of auxin in the food, or by limiting the exposure time of the flies to auxin.

Temporal control of gene expression is essential for many behavioural experiments in Drosophila. We demonstrate that AGES can elicit strong behavioural changes through activating expression of Kir2.1 (an inward-rectifier potassium ion channel) in PDF-GAL4 expressing adult neurons (Figure 6). Kir2.1 inhibits the activity of PDF neurons resulting in ablation of circadian rhythms. The strong loss of circadian rhythm was observed in both males and females, and even worked at the lower concentration of 2 mM auxin. This is an important development for the Drosophila behaviour field, as it allows experiments to be done with existing GAL4 lines, and without the need of a temperature shift or having to use GeneSwitch (Osterwalder et al., 2001). While 2 mM auxin food had no effect on the circadian rhythm of female flies (Figure 6D) or the PDF-GAL4/+ control male flies (Figure 6C), it did impact on the UAS-Kir2.1/+ control male flies. We currently have no explanation for this. However, it does emphasise the requirement to always perform the appropriate controls. Also, in this context, 10 mM auxin food did have an effect on both male control lines (Figure 6—figure supplement 1A). So, while 10 mM auxin had no impact on adult climbing (Figure 5—figure supplement 1B), it did impact on circadian rhythms. It should be noted that NAA was used for the circadian rhythm experiment, whereas K-NAA (more water soluble) was used for all the other experiments. Therefore, K-NAA may have less of an effect on the controls as was seen with NAA.

AGES is also a system that is safe for both humans and flies alike. Auxin hormone carries no hazardous concerns for human handling, and no lethal effects were identified for the effective concentrations of 10 mM or below for both adult and larval stages (Figure 5). Continuous exposure of larvae to 10 mM auxin does result in some developmental delay; however, it does not affect survival. Higher concentrations of auxin result in increased mortality rates (data not shown) and should be avoided. Users are encouraged to consider this if attempting to optimise exposure conditions for specific experiments, or GAL4-driver lines that have not been assessed in this paper. Overall, based on our data, we recommend the use of up to 5 mM auxin and up to 10 mM for optimal induction in larvae and adults, respectively.

It is also paramount that inducible systems are easy and cheap to apply, to facilitate their practical use in diverse experimental settings. While expenses of the GeneSwitch system average £0.31 (GBP) per vial, AGES costs ~120× less at £0.0025 per vial (authors’ estimate). Furthermore, the water-soluble auxin (K-NAA) can be easily added to the food immediately before the food is poured into vials or bottles, requiring no additional safety measures, enabling ease of production. In our experience, auxin-containing food can be stored 4°C for up to 15 weeks (Figure 2—figure supplement 2B) where the hormone’s potency still persists. Further studies are required to assess the stability and effectiveness of auxin when stored for longer periods of time, or in differing conditions.

The sensitivity of the system is directly related to the amount of auxin present within the tissue, and thus concerns are raised regarding the fly’s age and sex, as these factors impact feeding rates (Carey et al., 2006; Wong et al., 2009). As all experimental adult flies were aged to 5 days post-eclosion, the effects of age on the system are yet to be determined, although lower expression is to be expected in older flies. To address these concerns, alterations to the auxin application could be made, such as a longer exposure (>24 hr), which as we have shown does not impact on survival (Figure 5D and E).

Despite the various advantages that AGES offers the fly community, there are still limitations to consider. These include (i) the response time of the system (18–24 hr), (ii) auxin can have subtle effects on adult behaviour (circadian rhythms), and (iii) induced levels of expression are not always as high as the maximum levels obtained without the system. For example, as male adults eat less than their female counterparts, lower expression of the transgene is observed in males (Figure 2—figure supplement 1). However, as GAL4-induced expression is inherently strong, reduced transgene expression may not be an issue. This is evident in our circadian rhythm behavioural experiment, where there is a robust response in both males and females when driving expression of UAS-Kir2.1 (Figure 6C and D). While a 24 hr induction time is not instant, it is both practical and convenient for researchers performing experiments on adult flies in the lab.

There is scope for AGES to be optimised in the future. One approach would be to utilise a mutated version of TIR1 that can accommodate bulky analogues of auxin. Such mutants, in combination with modified auxins (5-Ph-IAA or 5-adamantyl-IAA), allow the degron system to work with much lower levels of auxin (>500-fold less) (Yesbolatova et al., 2020; Zhang et al., 2022) and demonstrate a more rapid degradation. Efforts to test these modifications with AGES are underway.

In summary, AGES offers the fly community a cheap, safe, and easy system for temporal transgene expression using existing GAL4 lines. Furthermore, it does not require a shift in temperature changes for induction of gene expression. It is a particularly promising tool for research fields where researchers want to avoid using temperature shifts (e.g. ageing, behavioural genetics, and neuropathology), and will undoubtedly have wide-ranging benefits for multiple fields of study.

Materials and methods

Generation of AGES line

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The AtTIR1-T2A-AID-GAL80-AID sequence was synthesised by Twist Biosciences (twistbioscience.com) (Figure 1—figure supplement 1). The GAL80 sequence (from Saccharomyces cerevisiae) and the AtTIR1 sequence (Zhang et al., 2015) were codon optimised for Drosophila for more effective translation. The αTub84B promoter was amplified from a tubulin-eGFP plasmid (gift from M Dionne) using the following primers: tub_FWD: GATATCAAGCTTGCACAGGTCC and tub-RV: GTACCTTCACGCTGTGGATGAGG. The αTub84B and AtTIR1-T2A-AID-GAL80-AID sequences were cloned into pattB (Bischof et al., 2007) using Gibson assembly (Gibson et al., 2009). Successful clones were sequence verified. Annotated sequence is in Figure 1—figure supplement 1—source data 1. The plasmid is publically available at DGRC: the Drosophila Genomics Resource Center (DGRC: ): https://dgrc.bio.indiana.edu/product/View?product=1568 Microinjection was performed by Cambridge Fly Facility using the VK00040 line, which has an attB site at location att3B (87B10) on chromosomal arm 3R. Injected adult males were collected and mated to w1118 virgin females to identify transgenics (orange eyes). tub-TIR1-T2A-AID-GAL80-AID is available at the BDSC (stock #92470) or the VDRC Stock Center (stock #311020).

Fly stocks and food

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In this study, c564-GAL4, UAS-nls-GFP/CyO-actin-GAL4-GFP flies were used to perform fluorescent reporter experiments in the adult and larval fat body, and for quantification of GFP mRNA expression. Moreover, these flies were used in adult survival assays. CantonS flies were used in the developmental survival and developmental timeline experiments. For fluorescent reporter experiments in the adult brain, we used elav-GAL4, UAS-nls-GFP. For behavioural experiments, Iso31 flies were used as a background strain (Ryder et al., 2004), and we used PDF-Gal4 (Park et al., 2000) and PDF-GeneSwitch-GAL4 (BDSC 81116) to drive expression of UAS-Kir2.1 (BDSC 6597). Flies were kept at 25°C on and standard Drosophila food (recipe in supplementary material) was supplemented (just before being aliquoted into vials/bottles/plates) with auxin (K-NAA available from Phytotech [#N610] or Glentham Life Sciences [GK2088]) at varying concentrations. For behavioural experiments, flies were raised and entrained on standard food, and transferred to activity monitoring tubes containing 2% agar, 5% sucrose, supplemented with indicated concentrations of RU-486 in ethanol (Mifepristone, Sigma-Aldrich) or NAA (Phytotech, #N600).

Immunohistochemistry

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Adult and larval brains were dissected in 1× PBS and fixed for 25 min at room temperature in 4% formaldehyde (methanol free) in 0.3% Triton X-100 PBS (PBST). They were washed four times for 1 hr with 0.3% PBST. Normal goat serum (2% in PBST) was used for tissue blocking (RT, 15 min to 1 hr) and subsequent overnight primary antibody incubation. All tissue washes were done in PBST.

Primary antibodies used were chicken anti-GFP (Abcam #13970, 1:2000), guinea pig anti-Dpn 1:10,000 (Caygill and Brand, 2017) and rat anti-Elav 1:500 (Developmental Studies Hybridoma Bank [DSHB]). Secondary antibodies used include Alexa Fluor 488, 545, and 633 at a concentration of 1:200 (Life Technologies) and tissue was incubated for 1.5 hr at room temperature. Tissue was mounted on standard glass slides in Vectashield Mounting medium (Vector Laboratories). Brains were imaged using a Zeiss LSM 510 microscope. Analysis of acquired images was done using Fiji (Schindelin et al., 2012).

Imaging and image analysis

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Live imaging of GFP in adult flies and larvae was performed using a Nikon SMZ 1500 microscope. In larvae, to identify earliest auxin induction effects, animals were then placed on 1 mM auxin-supplemented food and imaged at 0, 1, 5, 10, and 25 hr intervals. Adults were placed on food containing varying auxin concentrations for 24 hr prior to imaging.

Live GFP levels were quantified in six animals per condition (including negative and positive controls). Binary images were created by using a threshold (Outsu’s thresholding) and the Wand Tool in Fiji was used to trace the GFP-positive area as region of interest (ROI). The ROI corresponded to abdomens in adults or whole larvae. Mean pixel intensity per ROI was calculated using the Measure plugin in Fiji for a total of six biological replicates. Statistical significance analysed using one-way ANOVA (normally distributed) or Kruskal-Wallis test with Dunn pair-wise comparison (non-normally distributed). Parametric t-test or non-parametric Wilcoxon tests were used to compare individual conditions with respective controls. Statistical tests were completed in R (v3.6.3) and plots were performed using the software GraphPad Prism version 9 for Windows.

Developmental and survival assays

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All animals were kept at 25°C. To determine the effects of auxin on larval development, 10 mated Canton-S flies were allowed to lay eggs on fly food containing 0, 1, 5, or 10 mM of auxin for a maximum of 24 hr, or until ~50 eggs were counted. Five replicates were obtained for each concentration, except for 0 mM where four replicates were used. Daily emergence of L3 larvae and presence of pupae were recorded to determine the time required for egg-to-L3, and egg-to-pupae development for each concentration.

Adult survival assays were performed on c564-GAL4, UAS-nls-GFP/AGES flies on three replicates, with 20 flies per replicate. Male and female animals were separated 5 days post-eclosion. Each replicate was continuously exposed to 0, 5, and 10 mM auxin food. Death was scored daily until all flies were deceased. Statistical tests and plots were performed using the software GraphPad Prism version 9 for Windows.

RNA extraction and real-time qPCR

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In order to quantify whether levels of GFP mRNA expression changed in the presence of auxin, the c564-GAL4, UAS-nls-GFP/AGES flies were placed on 0, 5, and 10 mM auxin-supplemented food for 24 hr. The c564-GAL4, UAS-nls-GFP/+ flies were used as a positive control whilst the AGES flies were used as a negative control (lacking both the GAL4 driver and the UAS-nls-GFP). The 0 mM was included to investigate whether there was any leaky GAL4 activity in absence of auxin.

Total RNA was extracted from whole adult flies, three per replicate per condition, using a standard TRIzol extraction protocol (Scientific, 2016). DNA was degraded using RNAse-free DNAse (Thermo Scientific) and cDNA synthesis was performed using the iScript cDNA synthesis kit (Bio-Rad), following manufacturer’s instructions. Real-time qPCR was performed with iTaq Universal SYBR Green Supermix (Bio-Rad) using the StepOnePlus Real-Time PCR System (Applied Biosystems).

The gene RpL4 (Ribosomal Protein L4) was used as reference gene. The GFP mRNA expression levels were calculated using the ΔΔCt method (ΔCt = Ct [mean Ct of reference gene] – Ct [target]; ΔΔCt = ΔCt [target] − mean ΔCt [control]) (Livak and Schmittgen, 2001). Target refers to the auxin concentrations (0, 5, 10 mM) and control refers to the AGES flies. Primers used: RpL4_FW - 5’-TCCACCTTGAAGAAGGGCTA-3’, RpL4_RV – 5’-TTGCGGATCTCCTCAGACTT-3’, GFP_FW – 5’-GAGCTGTACAAGAGCAGGCA-3’, GFP_RV – 5’-GTTGACGGCGTTTTCGTTCA-3’. Statistical significance analysed Kruskal-Wallis test with Dunn pair-wise comparison in R (v3.6.3).

Drosophila activity monitoring assay

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We evaluated circadian locomotor rhythms using the DAM system (Trikinetics). Male and female flies of the indicated genotype were entrained in a 12:12 LD cycle prior to loading individual 5- to 7-day-old flies into glass DAM tubes containing control or experimental diets. For AGES flies, the control diet consisted of standard DAM food. For GeneSwitch flies, the control diet consisted of 1% ethanol vehicle in standard DAM food. Flies were monitored via DAM assay for 3 days in 12:12 LD at 25°C, followed by 8 days in constant darkness (DD). Circadian locomotor parameters were analysed using ClockLab software (Actimetrics) for data from days 2 to 8 of DD. Period length was determined by χ2 periodogram analysis, and relative rhythm power at 24 hr was determined using FFT. FFT power and average daily activity counts for each sex were compared by two-way ANOVA by genotype and food substrate, with Tukey’s post hoc comparisons. Because period length could not be estimated for arrhythmic flies, period length was compared by Student’s t-test for flies of the same genotype on different food substrates.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files.

References

Decision letter

  1. K VijayRaghavan
    Senior and Reviewing Editor; National Centre for Biological Sciences, Tata Institute of Fundamental Research, India

Our editorial process produces two outputs: i) public reviews designed to be posted alongside the preprint for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "An auxin-inducible, GAL4-compatible, gene expression system for Drosophila" for consideration by eLife. Your article has been reviewed by 2 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and K VijayRaghavan as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this letter to help you prepare a revised submission.

Essential revisions:

It is useful for a new user of this tool to have a more complete description, rather than have to work it out themselves. Currently, the analysis of the tool is modest. More 'proof-of-concept' experiments can be useful and can make the tool more likely to be used. In addition to such experiments, it will be useful if they could have better quantification of the data and provide better controls too.

Please see, from the above perspective, the recommendations of both the reviewers below and the specific suggestions they have made. Could the authors, while embarking on a revised submission, please outline a list of experiments that they plan to do to address the points in the preceding paragraph, including how the current study significantly advances the Trost 2016 work? Given that this study develops on that of the Trost 2016 study, its application toGal80 needs to go further.

Reviewer #1 (Recommendations for the authors):

Figure 2B-C: the statistical comparisons being made are not very clear: between the plots at the ends of each bracket? (if so, why not show all comparisons?). In panel C, it is also not clear if the **** refers to comparison of 0 mM with 1 and 5 mM as well as 10 mm.

How do the authors explain the difference between GFP RNA and protein induction? (presumably translation of GFP RNA should not be impacted by the AGES system).

The title is a bit over-hyped: – AGES comprises a modification of Gal80 control; gene expression itself is still dependent upon the Gal4/UAS system.

The number of animals use in different experiments is not clearly indicated.

Line 71: "that are tagged" not "which are tagged"

Line 78: missing word between systems and mice

Figure 2B: panel B, "fluorescence" is misspelt

Figure 2 – figure supp 1: panel B, "fluorescence" is misspelt

Reviewer #2 (Recommendations for the authors):

McClure et al. have taken advantage of the Arabidopsis auxin-degron system, which has been shown to function in a wide range of organisms, including Drosophila. In this study, the authors cleverly engineer a ubiquitously expressed bicistronic transgene that contains all of the necessary components to inhibit Gal4-induced expression in the absence of auxin. The authors convincingly show their system's efficacy, showing the addition of auxin to food enable Gal4-induced gene expression of a GFP reporter in the fat body, examining both external fluorescence and mRNA levels. GFP expression in the nervous system is a necessary addition due, as the authors state, to the blood-brain barrier. As there was nothing quantitative in Figure 3, a negative control (as used in Figure 2) would have been helpful, as it was hard to determine if 0 mM auxin had no GFP expression visually. As many researchers would be particularly interested in using this system for behavioral studies, further investigation of the system's efficacy for studying behaviors would add to the interest and impact of this work; for example, simple behavioral controls when the flies are reared on auxin, e.g., general locomotion. An excellent addition could be to show that a neuronal effector UAS (for example, csChrimson or TRPA1) does not induce a Gal4-driven behavior in the absence of auxin, and perhaps how long after a shift to auxin behaviors can be induced. Lastly, it is notable that all the shifts in this paper turn Gal4-induced expression from an off to an on state. It would be interesting to investigate the temporal dynamics of the opposite (turning the system from on to off), which would also be of great value to the broader community.

– The paper lacks clarity in parts that may impact its accessibility to a more general audience, for example, the description of the shortcomings of existing systems could be more clearly stated.

– Line 116 "proper induction of GAL4 activity" is quite a vague statement, perhaps the time course (stated as data not shown) could be added to supplemental.

– The authors state in line 173/174 that the AGES system is compatible with the majority of existing split-Gal4 lines, however Gal80 itself is not compatible with most extant split-Gal4 combinations as most activation domain lines are not derived from Gal4.

https://doi.org/10.7554/eLife.67598.sa1

Author response

Essential revisions:

It is useful for a new user of this tool to have a more complete description, rather than have to work it out themselves. Currently, the analysis of the tool is modest. More 'proof-of-concept' experiments can be useful and can make the tool more likely to be used. In addition to such experiments, it will be useful if they could have better quantification of the data and provide better controls too.

We have included several new experiments demonstrating the successful application of AGES. These include switching on GFP expression in a subset of larval brain cells (grhGAL4) and a subset of adult brain cells (Or85a-GAL4) as shown in our new Figure 4.

Furthermore, we have shown that AGES can be used to elicit changes in adult behaviour (PDF-GAL4 driving UAS-Kir2.1). Here auxin-supplemented food can disrupt circadian behaviour in both male and female flies (new Figure 6).

Regarding additional quantification and controls, we have:

– Quantified GFP expression levels in larvae on different concentrations of auxin, and over a time course using 5 mM (new Figure 3).

– Quantified on and off temporal dynamics in adult flies using 10 mM auxin (Figure 2 —figure supplement 2A).

– Tested how long auxin food lasts (Figure 2 —figure supplement 2B).

– Confirmed that auxin food does not affect the behaviour of larvae (crawling) or adults (climbing) (Figure 6 —figure supplement 1).

Please see, from the above perspective, the recommendations of both the reviewers below and the specific suggestions they have made. Could the authors, while embarking on a revised submission, please outline a list of experiments that they plan to do to address the points in the preceding paragraph, including how the current study significantly advances the Trost 2016 work? Given that this study develops on that of the Trost 2016 study, its application toGal80 needs to go further.

We agree that we should have introduced/emphasised the Trost paper more in our manuscript. However, we believe that our study advances/differs from the Trost 2016 paper in several important ways:

– We have improved (using the higher affinity AtTIR1 and codon optimised all components) and applied the method for the specific task of temporally controlling GAL4 activity.

– We have demonstrated that this newly engineered system provides very tight control of protein levels (through the readout of GAL4 activity).

– We have investigated and optimised the concentrations of auxin required to activate GAL4 (through the degradation of GAL80) in both larvae and adults.

– We have tested different concentrations of auxin for its effect on survival and development.

– We have shown that it can be used to manipulate adult behaviour.

Reviewer #1 (Recommendations for the authors):

Figure 2B-C: the statistical comparisons being made are not very clear: between the plots at the ends of each bracket? (if so, why not show all comparisons?). In panel C, it is also not clear if the **** refers to comparison of 0 mM with 1 and 5 mM as well as 10 mm.

We have included brackets for all the relevant comparisons in the new Figure 2 to make it clearer.

How do the authors explain the difference between GFP RNA and protein induction? (Presumably translation of GFP RNA should not be impacted by the AGES system).

We are not sure why there is a difference between GFP RNA and GFP fluorescence relative to the positive controls. One possibility is that GFP fluorescence is not a linear readout of protein levels.

The title is a bit over-hyped: – AGES comprises a modification of Gal80 control; gene expression itself is still dependent upon the Gal4/UAS system.

We think that the title is still appropriate, and that further clarification would make the title too long.

The number of animals use in different experiments is not clearly indicated.

Thank you, this is now fixed.

Line 71: "that are tagged" not "which are tagged"

Thank you, this is now fixed.

Line 78: missing word between systems and mice

Thank you, this is now fixed.

Figure 2B: panel B, "fluorescence" is misspelt

Thank you, this is now fixed.

Figure 2 – figure supp 1: panel B, "fluorescence" is misspelt

Thank you, this is now fixed.

Reviewer #2 (Recommendations for the authors):

McClure et al. have taken advantage of the Arabidopsis auxin-degron system, which has been shown to function in a wide range of organisms, including Drosophila. In this study, the authors cleverly engineer a ubiquitously expressed bicistronic transgene that contains all of the necessary components to inhibit Gal4-induced expression in the absence of auxin. The authors convincingly show their system's efficacy, showing the addition of auxin to food enable Gal4-induced gene expression of a GFP reporter in the fat body, examining both external fluorescence and mRNA levels. GFP expression in the nervous system is a necessary addition due, as the authors state, to the blood-brain barrier. As there was nothing quantitative in Figure 3, a negative control (as used in Figure 2) would have been helpful, as it was hard to determine if 0 mM auxin had no GFP expression visually.

We have now included a negative control and quantified GFP expression levels in larvae on different concentrations of auxin, and over a time course using 5 mM (new Figure 3).

As many researchers would be particularly interested in using this system for behavioral studies, further investigation of the system's efficacy for studying behaviors would add to the interest and impact of this work; for example, simple behavioral controls when the flies are reared on auxin, e.g., general locomotion.

We have examined the effect of working concentration (5 mM for larvae and 10 mM for adults) on larval crawling and adult climbing (Figure 6 —figure supplement 1). Here we see no impact of auxin on these behaviours. The circadian experiment data also showed that auxin did not affect locomotor activity (Figure 6 – supplement 2, A-D).

An excellent addition could be to show that a neuronal effector UAS (for example, csChrimson or TRPA1) does not induce a Gal4-driven behavior in the absence of auxin, and perhaps how long after a shift to auxin behaviors can be induced.

We are pleased to show that AGES can be used to elicit changes in adult behaviour (PDF-GAL4 driving UAS-Kir2.1). Here auxin-supplemented food can disrupt circadian behaviour in both male and female flies (new Figure 6).

Lastly, it is notable that all the shifts in this paper turn Gal4-induced expression from an off to an on state. It would be interesting to investigate the temporal dynamics of the opposite (turning the system from on to off), which would also be of great value to the broader community.

We have quantified on and off temporal dynamics in adult flies using 10 mM auxin (Figure 2 —figure supplement 2A).

– The paper lacks clarity in parts that may impact its accessibility to a more general audience, for example, the description of the shortcomings of existing systems could be more clearly stated.

We have included the descriptions and shortcoming of the two main existing systems (GeneSwitch and QF-QS) in the introduction (lines 66-74).

– Line 116 "proper induction of GAL4 activity" is quite a vague statement, perhaps the time course (stated as data not shown) could be added to supplemental.

Data now in Figure 2 —figure supplement 2A.

– The authors state in line 173/174 that the AGES system is compatible with the majority of existing split-Gal4 lines, however Gal80 itself is not compatible with most extant split-Gal4 combinations as most activation domain lines are not derived from Gal4.

Thank you for pointing this out – we have now emphasised this in the paper (lines 268-273).

https://doi.org/10.7554/eLife.67598.sa2

Article and author information

Author details

  1. Colin D McClure

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Present address
    Queen’s University Belfast, School of Biological Sciences, Belfast, United Kingdom
    Contribution
    Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review and editing
    Contributed equally with
    Amira Hassan
    For correspondence
    c.mcclure@qub.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6298-5296
  2. Amira Hassan

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Contribution
    Data curation, Investigation, Methodology, Visualization, Writing – review and editing
    Contributed equally with
    Colin D McClure
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1640-1602
  3. Gabriel N Aughey

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Present address
    University College London, Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom
    Contribution
    Data curation, Investigation, Methodology, Writing – review and editing
    Competing interests
    No competing interests declared
  4. Khushbakht Butt

    Waksman Institute and Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, New Brunswick, United States
    Contribution
    Formal analysis, Investigation
    Competing interests
    No competing interests declared
  5. Alicia Estacio-Gómez

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Contribution
    Investigation, Validation, Writing – review and editing
    Competing interests
    No competing interests declared
  6. Aneisha Duggal

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Contribution
    Investigation, Visualization
    Competing interests
    No competing interests declared
  7. Chee Ying Sia

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Contribution
    Investigation, Writing – review and editing
    Competing interests
    No competing interests declared
  8. Annika F Barber

    Waksman Institute and Department of Molecular Biology and Biochemistry, Rutgers, the State University of New Jersey, New Brunswick, United States
    Contribution
    Formal analysis, Investigation, Validation, Writing – review and editing
    Competing interests
    No competing interests declared
  9. Tony D Southall

    Department of Life Sciences, Imperial College London, London, United Kingdom
    Contribution
    Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Visualization, Writing – original draft, Writing – review and editing
    For correspondence
    t.southall@imperial.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8645-4198

Funding

Wellcome Trust (104567/Z/14/Z)

  • Tony D Southall

Society of Developmental Biology

  • Colin D McClure

National Institutes of Health (R00 NS105942)

  • Annika F Barber

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

Acknowledgements

Thanks to Marc Dionne (Imperial College London) for providing the tubulin-eGFP plasmid, and to Christian Lehner (University of Zurich) for providing the pMT-OsTIR1-P2A-H2B-aid-eYFP plasmid as well invaluable insights into the molecular biology of the auxin-degradation system in Drosophila. We thank Andrea Brand for the anti-Dpn antibody. Furthermore, thanks to the entire Southall lab for helpful discussions and pre-reading the manuscript. This work was funded by Wellcome Trust Investigator grant 104567 to TDS, an Innovation Grant from the Society of Developmental Biology to CDM and an NIH-National Institute of Neurological Disorders and Stroke Grant R00 NS105942 to AFB.

Senior and Reviewing Editor

  1. K VijayRaghavan, National Centre for Biological Sciences, Tata Institute of Fundamental Research, India

Publication history

  1. Preprint posted: January 26, 2021 (view preprint)
  2. Received: February 16, 2021
  3. Accepted: March 27, 2022
  4. Version of Record published: April 1, 2022 (version 1)

Copyright

© 2022, McClure et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Colin D McClure
  2. Amira Hassan
  3. Gabriel N Aughey
  4. Khushbakht Butt
  5. Alicia Estacio-Gómez
  6. Aneisha Duggal
  7. Chee Ying Sia
  8. Annika F Barber
  9. Tony D Southall
(2022)
An auxin-inducible, GAL4-compatible, gene expression system for Drosophila
eLife 11:e67598.
https://doi.org/10.7554/eLife.67598

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