Abstract
Long-term tobacco use causes nicotine dependence via the regulation of a wide range of genes and is accompanied by various health problems. Studies in mammalian systems have revealed some key factors involved in the effects of nicotine, including nicotinic acetylcholine receptors (nAChRs), dopamine and other neurotransmitters. Nevertheless, the signaling pathways that link nicotine-induced molecular and behavioral modifications remain elusive. Utilizing a chronic nicotine administration paradigm, we found that adult male fruit flies exhibited locomotor hyperactivity after three consecutive days of nicotine exposure, while nicotine-naive flies did not. Strikingly, this chronic nicotine-induced locomotor hyperactivity (cNILH) was abolished in Decapping Protein 2 or 1 (Dcp2 or Dcp1) -deficient flies, while only Dcp2-deficient flies exhibited higher basal levels of locomotor activity than controls. These results indicate that Dcp2 plays a critical role in the response to chronic nicotine exposure. Moreover, the messenger RNA (mRNA) level of Dcp2 in the fly head was suppressed by chronic nicotine treatment, and up-regulation of Dcp2 expression in the nervous system blocked cNILH. These results indicate that down-regulation of Dcp2 mediates chronic nicotine-exposure-induced locomotor hyperactivity in Drosophila. The decapping proteins play a major role in mRNA degradation; however, their function in the nervous system has rarely been investigated. Our findings reveal a significant role for the mRNA decapping pathway in developing locomotor hyperactivity in response to chronic nicotine exposure and identify Dcp2 as a potential candidate for future research on nicotine dependence.
Introduction
Nicotine, the major compound responsible for tobacco dependence, causes more than five million deaths worldwide every year and has been strongly implicated in various neuropsychiatric disorders [1]. A single exposure to nicotine induces both immediate and long-lasting responses [2], [3], while repeated or long-term nicotine exposure leads to more complicated responses at the molecular and behavioral levels, and the latter may ultimately lead to nicotine dependence [4]. It is recognized that nicotinic acetylcholine receptors (nAChRs) and the cAMP/CREB signal pathway are required for mediating the effects of nicotine [5], [6] and that the expression level of nAChRs is regulated by multiple exposures to nicotine [7], [8], [9]. High-throughput work indicates that the expression of numerous molecules changes upon nicotine exposure [10], [11], [12]; however, only a few of the identified molecules have been validated. In addition, the overall profile of the gene regulation and the behavioral changes that are induced by nicotine exposure, especially by long-term nicotine exposure, remain unclear.
Invertebrate animal models, like Caenorhabditis elegans and Drosophila melanogaster, have been used to study the effects of addictive drugs, such as cocaine, ethanol, and nicotine [13], [14], [15], [16]. Although research on the effects of nicotine in fruit flies began fifty years ago, the work has mostly focused on nicotine resistance, as nicotine can be used as an insecticide [17]. In the past decade, it has been reported that fruit flies display rapid onset hyperactivity and spasmodic movement when exposed to volatilized nicotine; in addition, similar to mammals, dopaminergic signaling and the cAMP/CREB pathway play important roles in these effects [18], [19], [20], [21], indicating that some conserved mechanisms are shared between the fruit fly and mammals.
Locomotor hyperactivity is an obvious symptom of many neuropsychiatric disorders, such as mania and attention-deficit hyperactivity disorder (ADHD) [22], [23], and is a simple parameter that can be used to measure drug effects [24], [25]. In rats, acute and chronic nicotine exposure causes changes in locomotion, including locomotor hyperactivity [26]. In this work, we used a chronic nicotine administration paradigm in Drosophila and found that flies exhibited locomotor hyperactivity after a few days of nicotine treatment. We further identified Dcp2 as a key molecule in the mediation of this chronic nicotine-induced effect.
Dcp2 is a member of the Nudix family of pyrophosphatases and was originally identified a decade ago through a yeast genetic screen [27]. Parallel studies have shown that Dcp2 is one of the major components of the decapping complex and is conserved in worms, flies, plants, mice, and humans [28]. Dcp1 is an important activator of Dcp2, and they function together as a holoenzyme to cleave the 5′ cap structure of mRNA [29], [30], [31]. The decapping signal plays an important function in mRNA turnover and translation, which widely affects gene expression [32], [33], [34]. In addition, Dcp1 and some P-body factors that are involved in the control of decapping have been found to be expressed in neurons and have been suggested to affect synaptic plasticity-related modifications of neural activity in Drosophila [35], [36]. However, there is little known regarding Dcp2 function in the nervous system or how Dcp2 and Dcp1 expression is regulated by internal signals or external stimuli. Our findings indicate that chronic nicotine administration regulates Dcp2 expression and that decapping signaling may play an important role in mediating nicotine-induced effects. These results provide a foundation for future research on the molecular mechanisms of the complex behavioral changes that are induced by chronic nicotine exposure.
Results and Discussion
Chronic Nicotine Administration Induced Locomotor Hyperactivity in Adult Male Flies
To explore the effects of chronic nicotine administration, we exposed adult Canton-S (CS) wild-type male flies to free base nicotine (−/−) via food uptake for three days and then assayed their locomotor activity individually in nicotine-containing food for one day (Fig. 1A). Total locomotor activity (TLA) of flies fed with nicotine-containing food (at doses of 0.6, 1.8, and 3.0 mM) was significantly increased (locomotor hyperactivity) when compared to flies fed with normal food (Fig. 1B and S1), while there was no significant difference in total wake time between the nicotine (at 3.0 mM) and control groups (Fig. 1C). The 24-hour activity curve revealed that chronic nicotine administration did not change the distribution of the locomotor activity, but there was a general increase in activity during the day (Fig. 1D).
To test whether continuous nicotine treatments are required for the induction of the hyperactive behavioral response, we examined an additional two protocols. Flies were fed with normal food for 3 days and then switched to nicotine-containing food before recording, or flies were fed with nicotine-containing food for 3 days and then were switched to normal food before recording. Results showed that the TLA of both groups was comparable to the control group fed with normal food, indicating that continuous nicotine administrations are necessary for the promotion of locomotor hyperactivity (Fig. S1).
To examine how much nicotine is absorbed by the flies via food intake, we assayed nicotine concentration in the fly body and head using high performance liquid chromatography (HPLC). The nicotine concentration in flies fed with normal control food was below the lowest threshold (0.01 µg/g) detectable by HPLC. In flies fed with 3 mM nicotine-containing food for 4 consecutive days, the nicotine concentration was 9.89±0.52 µg/g in the entire body and 3.07±0.24 µg/g in the head (Fig. 1E). These results demonstrate that nicotine can be absorbed effectively via food uptake.
Given that nicotine tastes bitter to humans and that flies also exhibit dose-dependent aversive behavior in response to nicotine [37], we evaluated the consumption of nicotine-containing food. CS flies were starved for 12 hours and then fed with 3 mM nicotine-containing food or normal food. A water-soluble, edible blue dye was added to both foods for the quantification of food consumption [38]. Naive flies that had never been fed nicotine-containing food showed remarkably reduced consumption of the nicotine-containing food (16 µg per fly) compared to the consumption of normal food (32 µg per fly). Flies that were fed nicotine-containing food for 1–4 days gradually increased consumption (from 21 to 27 µg per fly) to approximately 66–84% of normal food intake (Fig. S2A–B). These results indicate that flies reduce consumption of 3 mM nicotine-containing food but that long-term exposure to nicotine can attenuate this effect.
As excessive food starvation can lead to hyperactivity in flies [39], we then tested whether the locomotor hyperactivity that was induced by chronic nicotine administration was due to the starvation effect. Flies treated with food containing 2.0 mM quinine, a bitter compound, exhibited a similar decrease in food consumption as that observed in response to the 3.0 mM nicotine-containing food (Fig. S2C). Using the same behavioral paradigm, we found that the locomotor activity level of these quinine-treated flies was slightly increased but was not significantly different from that of the control flies (Fig. S2D–E). Locomotor hyperactivity induced by chronic nicotine exposure was therefore not due to the side-effects of reduced food consumption, and thus can be referred to as chronic nicotine administration-induced locomotor hyperactivity (cNILH).
It is known that nicotine acts in the nervous system by activating nAChRs, and some nAChR subunits have been reported to play a critical function in nicotine dependence in mammalian systems [40]. In our experiments, the nicotine-induced locomotor hyperactivity effect was blocked when mecamylamine, a non-selective nAChR antagonist [41], [42], was administered in addition to nicotine during the treatment and/or recording periods (Fig. 1B), demonstrating that nAChRs are necessary for cNILH. In Drosophila, the genes for ten nAChR subunits have been identified and are mainly expressed in the central nervous system (CNS) [43]. To determine which subunits mediate the chronic nicotine effects observed in our model system, we knocked-down the expression of eight of the nAChR subunits, one at a time, using an RNA-interfering (RNAi) approach [44] in the nervous system via a pan-neuronal GAL4, elav-GAL4. In ten of the RNAi lines that we examined, cNILH was absent only in flies that expressed α96Ab RNAi (lines V1195 and V1194) or gfa RNAi (line V11329), suggesting that these two subunits are involved in the cNILH effect (Fig. S3).
V1194 Flies Failed to Develop cNILH
During our examination of nAChR subunits, we noted that locomotor hyperactivity could not be induced in V1194 flies with a UAS-nAChR-α96Ab RNAi insertion (Fig. 2A, B, and E). By contrast, V1195 flies with the same insertion at a different chromosomal location were able to develop hyperactivity in a manner similar to that of w1118 flies, the genetic background strain of both the V1194 and V1195 lines (Fig. S4C). The mRNA level of nAChR-α96Ab was not altered in V1194 flies compared to w1118 flies (Fig. 3B), excluding the possibility that leaky expression of nAChR-α96Ab RNAi disrupted the development of cNILH in V1194 flies.
We then systematically examined V1194 and w1118 flies that were exposed to multiple doses of nicotine with different durations of nicotine feeding. We found that, similar to CS flies, w1118 flies exposed to three doses of nicotine (1.8, 3, and 4.2 mM) exhibited significant cNILH on the 4th day, whereas total locomotor activity of the V1194 flies did not increase in response to any of the nicotine doses, and even showed a significant decrease at most nicotine doses over 5 days (Figs. S4A–B). HPLC data showed that there was no significant difference in the concentration of nicotine in the head between these two fly lines (2.68±0.14 µg/g in w1118 flies, 2.76±0.13 µg/g in V1194 flies, Fig. 2F). These results demonstrate that while V1194 flies have normal nicotine absorption, they have a defect in the response to chronic nicotine administration.
Of note, basal locomotor activity of V1194 flies was higher than that of w1118 and V1195 flies (Fig. 2E and S4C). To test the possibility that V1194 flies cannot exhibit further increases in locomotor activity due to their already higher basal level of activity, we treated them with caffeine, which is known to induce locomotor hyperactivity after one day of treatment in flies [45]. We found that, as in w1118 flies, TLA was significantly elevated in V1194 flies in response to caffeine (Fig. 2C–E). This result demonstrates that V1194 flies have the potential to exhibit higher locomotor activity, and therefore, the failure to develop cNILH is not a result of any existing locomotor defect.
Dcp2-deficient Flies Fail to Develop cNILH
We then sought the true cause of the defect in V1194 flies. Using inverse PCR, we localized the insertion in the V1194 line to the 15,819,920 site of the 3L chromosome, upstream of both the Dcp2 (CG6169) and dbo (CG6224) genes (Fig. 3A). Relative quantitative PCR (qPCR) results showed that in V1194 flies, Dcp2 mRNA level was reduced to approximately 30% of that in w1118 flies (Fig. 3C), whereas the dbo mRNA level was not significantly altered (Fig. 3B). These results narrowed down the affected gene in V1194 flies to Dcp2. We reasoned that V1194 flies have a mutant Dcp2 allele, hereafter referred to as Dcp2V1194.
We then obtained two other transposon insertion-based Dcp2 mutant fly strains, c02419 (PBac{PB}Dcp2c02419) and e00034 (PBac{RB}Dcp2e00034/TM3) [46]. The mutant allele Dcp2c02419 has a PBac-element insertion in the 3′ untranslated region (3′UTR) of Dcp2 and is homozygous viable, while Dcp2e00034 has a PBac-element insertion in the 5′UTR of Dcp2 and is homozygous lethal (Fig. 3A). To keep the genetic background of these two mutants consistent with Dcp2V1194, we outcrossed these flies to w1118 flies for five generations. As mutant allele Dcp2e00034 is a recessive lethal, we utilized trans-heterozygous Dcp2V1194/e00034 flies in the following study. Using qPCR, we found that the mRNA level of Dcp2 in Dcp2c02419 flies was not significantly different from that of w1118 flies but was dramatically reduced in Dcp2V1194/e00034 flies, to a level even lower than that of Dcp2V1194 flies (Fig. 3C).
Locomotor activity assays showed that both Dcp2c02419 and Dcp2V1194/e00034 flies failed to develop cNILH, while heterozygous flies (Dcp2c02419/+, Dcp2V1194/+, and Dcp2e00034/+) all developed cNILH (Fig. 3D). In addition, the basal activity of Dcp2V1194/e00034 flies was significantly increased compared to Dcp2V1194/+ and Dcp2e00034/+ flies, while Dcp2c02419 flies had comparable basal locomotor activity to Dcp2c02419 /+ flies. However, both Dcp2V1194/e00034 and Dcp2c02419 flies exhibited locomotor hyperactivity in response to caffeine treatment (Fig. S5), indicating that the inability to develop cNILH in these flies is not due to a potential deficiency in locomotor activity. Thus, Dcp2 mutants with either a low Dcp2 mRNA level (Dcp2V1194 and Dcp2V1194/e00034) or a deficiency in the 3′UTR regulatory region (Dcp2c02419) were incapable of developing cNILH, indicating a critical role for Dcp2 in the observed nicotine-induced effects.
Knock-down of Dcp2 Expression in the Nervous System Increases Basal Locomotor Activity and Blocks cNILH in Flies
Since nicotine receptors are specifically expressed in the Drosophila CNS, we asked whether Dcp2 is required in the nervous system for developing cNILH. We examined whether Dcp2 was expressed in the fly CNS by testing the expression pattern of Dcp2GAL4 (BG01766), which has a GAL4 inserted immediately downstream of the Dcp2 promoter. We observed a ubiquitous strong signal in the fly body and head (data not shown) when visualized by a membrane-bound form of GFP (mCD8::GFP). In particular, in the adult brain, the GFP signal was widely distributed and was expressed in cell bodies on the brain surface and in the neuropil (Fig. 4A–B). Many important brain regions, such as the mushroom body, fan-shaped body, and ellipsoid body, were also labeled (Fig. 4C–E). We further validated Dcp2 expression in tissue from the fly head using qPCR. In elav-GAL4>UAS-Dcp2 RNAi flies, the Dcp2 mRNA level was reduced to approximately 50% and 20% of that in parental controls using two RNAi strains, V22272 and TH0652, respectively (these strains have different Dcp2 target regions; see the materials and methods section for a detailed description) (Fig. S6A). These results indicate that Dcp2 is endogenously expressed in the fly brain and can be efficiently knocked-down using an RNAi approach.
We then performed behavioral tests using elav-GAL4>UAS-Dcp2 RNAi−V22272 and elav-GAL4>UAS-Dcp2 RNAi−TH0652 flies. Both lines failed to develop cNILH, even though their parental control groups exhibited cNILH (Fig. 4F), indicating that Dcp2 function in the nervous system is critical for developing cNILH. Consistent with Dcp2 mutant flies that had lower Dcp2 mRNA levels (Dcp2V1194 and Dcp2V1194/e00034), elav-GAL4>UAS-Dcp2 RNAi flies also exhibited higher basal locomotor activity without nicotine treatment compared to their parental controls. This elevation was more obvious in elav-GAL4>UAS-Dcp2 RNAi−TH0652 flies with higher knock-down efficiency. The elevation was further enhanced in the elav-GAL4>UAS-Dcp2 RNAi−V22272 flies when two copies of elav-GAL4 were used (Fig. 4F). Therefore, a low level of Dcp2 in the nervous system is sufficient for the promotion of locomotor hyperactivity in flies, and chronic nicotine exposure does not further elevate the level of locomotor activity in Dcp2-deficient flies. It has been reported that Dcp2 shows a preference for certain mRNA targets, depending on recognition of specific sequences [47]. Thus, it is possible that deficiencies in Dcp2 expression or regulation may affect mRNA degradation unequally, possibly altering the balance of the gene expression network and thereby affecting behavioral outputs such as locomotor activity.
Down-regulation of Dcp2 in the Nervous System Mediates cNILH
We then asked whether Dcp2 expression is regulated by nicotine exposure in wild-type flies. Using a relative qPCR assay, we examined the Dcp2 mRNA level in the heads of w1118 flies treated with nicotine for 0–5 day(s). Compared to the null treatment (0-day) group, Dcp2 mRNA was slightly elevated in the 1-day treatment group. In the 3-, 4-, and 5-day treatment groups (Fig. 5A), the level of Dcp2 mRNA was significantly suppressed to approximately 50% of the null treatment group. The dynamic change in Dcp2 mRNA levels suggests that Dcp2 plays an essential role in responding to and mediating nicotine signals. Notably, Dcp2 mRNA is down-regulated after 3 days of exposure to nicotine-containing food, one day before cNILH occurred.
In view of the neurotoxicity of nicotine, we asked whether the down-regulation of Dcp2 mRNA was a general response to environmental stress. Using the same nicotine treatment paradigm, we treated wild type flies with paraquat (an agent used to induce oxidative-stress) and found that the level of Dcp2 mRNA in these flies was not different from untreated controls (Fig. 5B). As shown above (Fig. 2C–E), one day of caffeine treatment can elevate total locomotor activity in adult flies. However, caffeine did not significantly alter Dcp2 mRNA levels after the first day of treatment (Fig. 5B). We then tested if reduced food intake could affect Dcp2 mRNA level and found that the level did not change when flies were treated with 2.0 mM quinine-containing food for 4 days (Fig. 5B). Taken together, these results suggest that chronic nicotine exposure triggers a Dcp2-dependent signal pathway, which is not activated by general stress or other drug stimuli.
Next, we tested whether nicotine could suppress Dcp2 expression in Dcp2 mutant flies. After 4 days of nicotine treatment, the level of Dcp2 mRNA was not decreased in Dcp2V1194 flies compared to untreated control flies (Fig. 5C). Although Dcp2c02419 flies have comparable Dcp2 mRNA levels to control flies, Dcp2 mRNA is not down-regulated by chronic nicotine administration (Fig. 5C), supporting our hypothesis that the insertion in the 3′UTR of Dcp2 disrupts its regulation. Taken together, we suggest that down-regulation of Dcp2 is required for the development of cNILH.
The next question we asked was whether we could block cNILH by blocking the down-regulation of Dcp2 mRNA via overexpressing it. We generated a UAS-Dcp2 fly line by cloning full length Dcp2 cDNA into the pUAST vector, and found that the level of Dcp2 mRNA increased about 4 times in elav-GAL4>UAS-Dcp2 flies compared to the parental controls (Fig. S6B). These flies exhibited comparable basal locomotor hyperactivity; however, they failed to develop the cNILH observed in their parental control (Fig. 5D). These results demonstrate that excessive Dcp2 also prevents flies from developing nicotine-induced locomotor hyperactivity, suggesting that cNILH requires the suppression of Dcp2.
To further investigate whether the decapping function of Dcp2 is required for mediating cNILH, we examined another major component of the decapping complex, Dcp1, using a UAS-Dcp1 RNAi fly line (V31441). Similar to Dcp2-silenced flies, cNILH was also blocked in elav-GAL4>UAS-Dcp1 RNAi flies (Fig. 5E), in which Dcp1 expression was knocked-down to half of its normal level in the nervous system (Fig. S6C). However, in contrast to Dcp2-deficient flies, the basal locomotor activity of Dcp1 knock-down flies was comparable to their parental controls, suggesting that Dcp2 has a more important function than Dcp1 in the cNILH response. Moreover, Dcp1 mRNA levels in w1118 flies were not affected by nicotine administration (Fig. 5F), suggesting that nicotine modulates decapping signaling by specifically targeting Dcp2.
How is the level of Dcp2 mRNA down-regulated by nicotine-triggered signals? Although Dcp2 is a key factor in mRNA degradation, there are no reports to date on its regulation. Generally speaking, Dcp2 expression may be regulated transcriptionally or post-transcriptionally. Results from Dcp2 c02419 mutant flies suggest that microRNA pathway-mediated post-transcriptional regulation may play an essential role in nicotine-induced down-regulation of Dcp2 mRNA. In this fly line, there is an insertion in the 3′UTR region of Dcp2 that does not alter the basal Dcp2 mRNA level but does block the down-regulation of Dcp2 mRNA, as well as locomotor hyperactivity, upon nicotine administration. The 3′UTR is the microRNA targeting region, and the microRNA pathway negatively regulates mRNA stability and translation [48]. A rodent microRNA microarray study in a rat PC12 cell model has shown that nicotine can selectively modulate the expression of multiple microRNAs, demonstrating that the microRNA pathway is one of the molecular mechanisms involved in the nicotine-triggered regulation of gene expression [49]. We assayed the 3′UTR of Drosophila Dcp2 with some online prediction tools, and several binding sites (including miR-277 and miR-375) were identified. Thus, we propose that in response to microRNA fluctuations caused by nicotine treatment, Dcp2 expression is modified, leading to more profound and long-lasting effects. The mechanism of Dcp2 regulation upon nicotine exposure needs to be systematically investigated in the future.
Conclusion
In summary, we demonstrated that continuous nicotine exposure induced both locomotor hyperactivity and Dcp2 mRNA down-regulation in wild-type adult flies, while flies with either a low level of Dcp2 mRNA (Dcp2V1194, Dcp2V1194/e00034, and elav-GAL4>UAS-Dcp2 RNAi flies, group 1) or insufficient suppression of Dcp2 mRNA (Dcp2c02419 and elav-GAL4>UAS-Dcp2 flies, group 2) failed to develop chronic nicotine-exposure-induced locomotor hyperactivity. Group 1 flies exhibited high basal locomotor activity without nicotine treatment, while group 2 flies showed normal basal locomotor activity. Thus, a low level of Dcp2 mRNA is sufficient to promote locomotor hyperactivity without nicotine, while sufficient suppression of Dcp2 by nicotine is required for developing locomotor hyperactivity. We also suggested that the microRNA pathway is involved in nicotine-signal-mediated Dcp2 regulation and that the mechanism of their interaction deserves more investigation in future research. Our findings reveal a significant role for the mRNA decapping pathway in developing locomotor hyperactivity in response to chronic nicotine exposure and hint that the regulation of mRNA degradation is involved in the development of nicotine dependence.
Materials and Methods
Fly Stocks
Flies were reared on the Bloomington Drosophila Stock Center standard medium at 25°C and 60% humidity under a 12/12 light/dark cycle unless indicated otherwise. Canton-S (CS) and w1118 (from VDRC) flies were used as the wild-type and genetic background flies, respectively. The following RNAi fly lines were obtained from the Vienna Drosophila RNAi Center [44] (stock numbers are listed): UAS-nAChR-α96Ab RNAi (V1194 and V1195); UAS-nAChR-α96Aa RNAi (V1189); UAS-nAChR-gfa RNAi (V11329); UAS-nAChR-β21C RNAi (V42740); UAS-nAChR-β64B RNAi (V33824); UAS-nAChR-α80B RNAi (V12441); UAS-nAChR-β96A RNAi (V1200); UAS-nAChR-α30D RNAi (V8890 and V8889); UAS-Dcp1 RNAi (V31441), and UAS-Dcp2 RNAi (V22272). Another UAS-Dcp2 RNAi line (TH0652) was obtained from the Tsinghua Fly Center, a resource of Drosophila transgenic RNAi lines constructed using the VALIUM vector [50]. The V22272 line targets to 363 bp (see VDRC website) in the exon 3 region of Dcp2, and the TH0652 line targets 21 bp in the exon 1 region of Dcp2. The elav-GAL4 (B25750, B23868) and Dcp2-GAL4 (Dcp2GAL4, BG01766) lines were obtained from the Bloomington Stock Center. The UAS-mCD8::GFP line was used for immunofluorescence imaging. The Dcp2 mutant flies Dcp2e00034 and Dcp2c02419 were obtained from the Harvard Exelixis Stock Center. To keep the genetic background consistent, all of the Dcp2 mutants and RNAi fly lines were outcrossed to w1118 flies for 5 generations.
UAS-Dcp2 flies were generated by cloning the full length Dcp2 cDNA into the pUAST vector. The forward primer was AGATCTATGGAGCTAAACAATCTAATACGTA, and the reverse primer was GGTACCGCAAAACACATTTGCTATGAAGT. Microinjection was performed by Rainbow Transgenic Flies, Inc. U.S.A., and three individual transgenic lines were maintained.
Drug Treatment
The drugs and reagents used in this study included nicotine (Sigma), caffeine (Sigma-Aldrich), paraquat (Sigma-Aldrich), and mecamylamine (Sigma). One or two of these compounds (as specified in the text) were mixed into standard fly food during food preparation and were stored in a refrigerator at 4°C for up to one week.
Male flies were collected within 1 day after eclosion, grouped at 50 per vial, and starved for 2 h before drug treatment. For the standard 4-day nicotine treatment, flies were raised on food containing 0.6, 1.8, 3.0, or 4.2 mM nicotine for 3 days in the vials, and then, on the 4th day, the flies were individually transferred to monitor tubes containing food with the same dose of nicotine for locomotor activity recording. Any divergence from this procedure is specified in the text. Paraquat treatment was delivered via the food at a dose of 1 mg/mL for three days, in line with a previous report [51]. For caffeine treatment, flies were transferred and monitored on 2.5 mg/mL of caffeine-containing food for 1 day [45]. During the feeding and/or recording periods, 0.75 mM mecamylamine was added to the 3 mM nicotine-containing food to block nAChRs.
Locomotor Activity Assay
Flies were individually introduced into the Drosophila Activity Monitoring System (TriKinetics, USA) and were monitored for 1 day by infrared rays [52]. Regular or conditional food with drugs was provided. Wake time was defined as at least 1 movement detected within 5 min (≥1 move count/5 min), and Total Wake Time was the sum of the wake time. The total locomotor activity (TLA) in one day was defined as the sum of the movement counts during a 24-hour period.
Inverse PCR (iPCR)
iPCR assays were performed to identify the insertion site of the P-element in the V1194 flies according to a standard protocol from the Berkeley Drosophila Genome Project. Briefly, genomic DNA was extracted from approximately 30 flies, then purified (QIAGEN DNeasy kit), digested by Sau3A I (NEB) for 8 hr, and self-ligated (T4 DNA Ligase, NEB) for 2 hr at 25°C. The product was used as the template for PCR with the P-31: CGACGGGACCACCTTATGTTATTTCATCATG, pWiz-F1: TAGAGCCAGATATGCGAGCAC, and pWiz-R1: GTCCGTGGGGTTTGAATTAAC primers. The PCR products were purified, sequenced and aligned to the Drosophila genomic sequence using BLAST.
Real-time Quantitative PCR (qPCR)
RNA was extracted from 30–50 whole flies or approximately 200 fly heads with TRIzol (Invitrogen). RNA quality was assessed using the Lab-on-a-Chip 2100 Bioanalyzer (Agilent) platform. Two micrograms of total RNA was treated with RQ1 DNase (Promega) and then reverse transcribed using oligo(dT) primers and Superscript III reverse transcriptases (Invitrogen). Real-time PCR was performed with a SYBR Premix Ex Taq™ II kit (Takara) using an ABI PRISM 7000 real-time PCR Detection system (Applied Biosystems). The relative mRNA level was calculated using the comparative CT method [53]. rp49 was used as the reference gene. Three repeats were performed for each sample, and data were collected and analyzed from 3 independent samples.
Primer Sequences Used for qPCR
Dcp2: 5′-AAGCGTCAACTGTTCCATAGCC-3′, 5′-TGCGCCTTAGCTGCCTTAAGT-3′;
Dcp1: 5′-GTCCAGGCCTTCACGTACCTTA-3′, 5′-TGATATGTGGAGCTAGAGTCCA-3′;
rp49: 5′-CCAAGGACTTCATCCGCCACC-3′, 5′-GCGGGTGCGCTTGTTCGATCC-3′;
dbo: 5′-GGAGCGCTACGATCCAAAAGA-3′, 5′-CCGCCAATTGCGTAGAGAAA-3′;
nAChR-α96Ab: 5′-FAAACTCCTGCTGATGCGTGTG-3′, 5′-GCCCGAGTTCATTTGCATCTC-3′.
Feeding Assay
The feeding assay was modified from previously reported methods [38], [54]. Briefly, male flies were collected within 1 day after eclosion and were reared at 25°C on normal food or on nicotine- or quinine-containing food. A group of 100 flies were starved for 12 hr and transferred to blue-colored food (1.25 mg/ml, FD&C Blue No.1, McCormick) for 2 hr. After feeding, the flies were frozen and their bodies were separated from their heads and homogenized in PBS buffer (PBS, 1.86 mM NaH2PO4, 8.41 mM Na2HPO4, 175 mM NaCl). After centrifuging, the supernatant was measured for absorbance at 625 nm. The absorbance value for flies fed with blue food was subtracted from that for flies fed with normal food. The net absorbance value reflected the food intake. The feeding profile for each line was determined by 5–6 independent experiments.
Nicotine Concentration Assay
Flies were fed with normal food or 3 mM nicotine-containing food for 4 consective days, and nicotine concentration was measured by HPLC at the end of 4th day [55]. Each sample included about 200 whole flies or 1,000 heads, and every group included three independent samples. The samples were homogenized in 10 ml of extraction buffer containing 10 g/L trichloroacetic acid (Sigma-Aldrich) and 0.44 g/L lead acetate trihydrate (Sigma-Aldrich). The tubes were vigorously shaken and placed in an ultrasonic bath for 30 min, then centrifuged at 10,000 rpm for 10 min. The extraction was repeated three times. The supernatant fluid was transferred to a new tube for the HPLC nicotine assay. The nicotine concentration of the supernatant fluid was assayed by Sino Analytica Company, China and normalized to the body weight.
Immunofluorescence
Adult male flies (4 days after eclosion at 25°C) were collected and brains were dissected in ice-cold PBS then fixed in 4% paraformaldehyde (PFA) solution in PBS for 1 hr at room temperature. After three 20 min washings in PBS containing 0.3% Triton X-100 (PBT), the brains were blocked with 5% normal goat serum (NGS, Invitrogen, 01-6201) in PBT for 1 hr. The brains were then incubated with primary antibodies in blocking solution at 4°C for 48 hr. After six 20 min washings in PBT, the samples were incubated with secondary antibodies at 4°C for 12 hr. The primary antibodies used were mouse anti-nc82 (1∶50, DSHB) and rabbit anti-GFP (1∶100, Sigma, A6455). The secondary antibodies (1∶500, Molecular Probes) used were Alexa 633 goat anti-mouse IgG (A21053) and Alexa 488 goat anti-rabbit IgG (A11008). Brains were finally washed six times with PBT and then mounted in Vectashield (Vector Laboratories, California, USA). Confocal microscopy was performed on a Nikon FN1 confocal microscope and the images were analyzed with Image J (US National Institute of Health).
Statistical Analysis
All statistical analyses were conducted using Sigmastat. The Wilks-Shapiro test was used to determine normality of the data. Normally distributed data were analyzed using two-tailed, unpaired Student’s t-tests or one or two-way ANOVA, followed by the Tukey-Kramer HSD Test as the post hoc test. Non-parametrically distributed data were assessed using the Mann-Whitney U test. Data are presented as mean values, and error bars represent the standard error of the mean (SEM). Differences between the groups were considered significant if the probability of error was less than 0.05 (P<0.05).
Supporting Information
Acknowledgments
We thank the Bloomington Drosophila stock center, VDRC, Dr. Norbert Perrimon (Harvard Medical School), and Dr. Jian-Quan Ni (Tsinghua Fly Center, School of Medicine, Tsinghua University) for providing fly strains, and thank Hao Li and Bangyu Zhou for help with data analysis.
Funding Statement
This work was supported by a 973 Program (Grant 2011CBA00400 to A.G.), the National Science Foundation of China (Grants 30921064, 90820008, and 31130027 to A.G., 31070956 and 91132709 to Y.L.), the One Hundred Talents Project of the CAS (KSCX2-YW-R-156 to Y.L.), and the “Strategic Priority Research Program” of the Chinese Academy of Sciences, grant No.XDB02040100. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Dome P, Lazary J, Kalapos MP, Rihmer Z (2010) Smoking, nicotine and neuropsychiatric disorders. Neurosci Biobehav Rev 34: 295–342. [DOI] [PubMed] [Google Scholar]
- 2. Trauth JA, Seidler FJ, Ali SF, Slotkin TA (2001) Adolescent nicotine exposure produces immediate and long-term changes in CNS noradrenergic and dopaminergic function. Brain Res 892: 269–280. [DOI] [PubMed] [Google Scholar]
- 3. Ferrari R, Le Novere N, Picciotto MR, Changeux JP, Zoli M (2002) Acute and long-term changes in the mesolimbic dopamine pathway after systemic or local single nicotine injections. Eur J Neurosci 15: 1810–1818. [DOI] [PubMed] [Google Scholar]
- 4. Markou A (2008) Review. Neurobiology of nicotine dependence. Philos Trans R Soc Lond B Biol Sci 363: 3159–3168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Barik J, Wonnacott S (2009) Molecular and cellular mechanisms of action of nicotine in the CNS. Handb Exp Pharmacol 192: 173–207. [DOI] [PubMed] [Google Scholar]
- 6. McCarthy MJ, Duchemin AM, Neff NH, Hadjiconstantinou M (2012) CREB involvement in the regulation of striatal prodynorphin by nicotine. Psychopharmacology (Berl) 221: 143–153. [DOI] [PubMed] [Google Scholar]
- 7. Govind AP, Vezina P, Green WN (2009) Nicotine-induced upregulation of nicotinic receptors: underlying mechanisms and relevance to nicotine addiction. Biochem Pharmacol 78: 756–765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Perry DC, Davila-Garcia MI, Stockmeier CA, Kellar KJ (1999) Increased nicotinic receptors in brains from smokers: membrane binding and autoradiography studies. J Pharmacol Exp Ther 289: 1545–1552. [PubMed] [Google Scholar]
- 9. Govind AP, Walsh H, Green WN (2012) Nicotine-induced upregulation of native neuronal nicotinic receptors is caused by multiple mechanisms. J Neurosci 32: 2227–2238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Li MD, Konu O, Kane JK, Becker KG (2002) Microarray technology and its application on nicotine research. Mol Neurobiol 25: 265–285. [DOI] [PubMed] [Google Scholar]
- 11. Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, et al. (2007) Molecular genetics of nicotine dependence and abstinence: whole genome association using 520,000 SNPs. BMC Genet 8: 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Wang J, Cui W, Wei J, Sun D, Gutala R, et al. (2011) Genome-wide expression analysis reveals diverse effects of acute nicotine exposure on neuronal function-related genes and pathways. Front Psychiatry 2: 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Feng Z, Li W, Ward A, Piggott BJ, Larkspur ER, et al. (2006) A C. elegans model of nicotine-dependent behavior: regulation by TRP-family channels. Cell 127: 621–633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. McClung C, Hirsh J (1999) The trace amine tyramine is essential for sensitization to cocaine in Drosophila. Curr Biol 9: 853–860. [DOI] [PubMed] [Google Scholar]
- 15. Kaun KR, Azanchi R, Maung Z, Hirsh J, Heberlein U (2011) A Drosophila model for alcohol reward. Nat Neurosci 14: 612–619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wolf FW, Heberlein U (2003) Invertebrate models of drug abuse. J Neurobiol 54: 161–178. [DOI] [PubMed] [Google Scholar]
- 17. Passador-Gurgel G, Hsieh WP, Hunt P, Deighton N, Gibson G (2007) Quantitative trait transcripts for nicotine resistance in Drosophila melanogaster. Nat Genet 39: 264–268. [DOI] [PubMed] [Google Scholar]
- 18. Bainton RJ, Tsai LT, Singh CM, Moore MS, Neckameyer WS, et al. (2000) Dopamine modulates acute responses to cocaine, nicotine and ethanol in Drosophila. Curr Biol 10: 187–194. [DOI] [PubMed] [Google Scholar]
- 19. Hou J, Kuromi H, Fukasawa Y, Ueno K, Sakai T, et al. (2004) Repetitive exposures to nicotine induce a hyper-responsiveness via the cAMP/PKA/CREB signal pathway in Drosophila. J Neurobiol 60: 249–261. [DOI] [PubMed] [Google Scholar]
- 20. Philpot RM, Engberg ME, Wecker L (2012) Effects of nicotine exposure on locomotor activity and pCREB levels in the ventral striatum of adolescent rats. Behav Brain Res 230: 62–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Zhu H, Lee M, Guan F, Agatsuma S, Scott D, et al. (2005) DARPP-32 phosphorylation opposes the behavioral effects of nicotine. Biol Psychiatry 58: 981–989. [DOI] [PubMed] [Google Scholar]
- 22. Klein E, Lavie P, Meiraz R, Sadeh A, Lenox RH (1992) Increased motor activity and recurrent manic episodes: predictors of rapid relapse in remitted bipolar disorder patients after lithium discontinuation. Biol Psychiatry 31: 279–284. [DOI] [PubMed] [Google Scholar]
- 23. Asherson P, Chen W, Craddock B, Taylor E (2007) Adult attention-deficit hyperactivity disorder: recognition and treatment in general adult psychiatry. Br J Psychiatry 190: 4–5. [DOI] [PubMed] [Google Scholar]
- 24. Niwa M, Nitta A, Mizoguchi H, Ito Y, Noda Y, et al. (2007) A novel molecule “shati” is involved in methamphetamine-induced hyperlocomotion, sensitization, and conditioned place preference. J Neurosci 27: 7604–7615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. King I, Heberlein U, Tsai LTY, Pflanz R, Voigt A, et al. (2011) Drosophila tao controls mushroom body development and ethanol-stimulated behavior through par-1. J Neurosci 31: 1139–1148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Dwoskin LP, Crooks PA, Teng L, Green TA, Bardo MT (1999) Acute and chronic effects of nornicotine on locomotor activity in rats: altered response to nicotine. Psychopharmacology (Berl) 145: 442–451. [DOI] [PubMed] [Google Scholar]
- 27. Dunckley T, Parker R (1999) The DCP2 protein is required for mRNA decapping in Saccharomyces cerevisiae and contains a functional MutT motif. EMBO J 18: 5411–5422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Wang Z, Jiao X, Carr-Schmid A, Kiledjian M (2002) The hDcp2 protein is a mammalian mRNA decapping enzyme. Proc Natl Acad Sci U S A 99: 12663–12668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. LaGrandeur TE, Parker R (1998) Isolation and characterization of Dcp1p, the yeast mRNA decapping enzyme. EMBO J 17: 1487–1496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Parker R, Song H (2004) The enzymes and control of eukaryotic mRNA turnover. Nat Struct Mol Biol 11: 121–127. [DOI] [PubMed] [Google Scholar]
- 31. She M, Decker CJ, Svergun DI, Round A, Chen N, et al. (2008) Structural basis of dcp2 recognition and activation by dcp1. Mol Cell 29: 337–349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Mitchell P, Tollervey D (2001) mRNA turnover. Curr. Opin. Cell Biol. 13, 320–325. [DOI] [PubMed]
- 33. Raghavan A, Bohjanen PR (2004) Microarray-based analyses of mRNA decay in the regulation of mammalian gene expression. Brief Funct Genomic Proteomic 3: 112–124. [DOI] [PubMed] [Google Scholar]
- 34. Song MG, Li Y, Kiledjian M (2010) Multiple mRNA decapping enzymes in mammalian cells. Mol Cell 40: 423–432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Barbee SA, Estes PS, Cziko AM, Hillebrand J, Luedeman RA, et al. (2006) Staufen- and FMRP-containing neuronal RNPs are structurally and functionally related to somatic P bodies. Neuron 52: 997–1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Hillebrand J, Pan K, Kokaram A, Barbee S, Parker R, et al. (2010) The Me31B DEAD-box helicase localizes to postsynaptic foci and regulates expression of a CaMKII reporter mRNA in dendrites of Drosophila olfactory projection neurons. Front Neural Circuits 4: 121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Sellier MJ, Reeb P, Marion-Poll F (2011) Consumption of bitter alkaloids in Drosophila melanogaster in multiple-choice test conditions. Chem Senses 36: 323–334. [DOI] [PubMed] [Google Scholar]
- 38. Edgecomb RS, Harth CE, Schneiderman AM (1994) Regulation of feeding behavior in adult Drosophila melanogaster varies with feeding regime and nutritional state. J Exp Biol 197: 215–235. [DOI] [PubMed] [Google Scholar]
- 39. Lee G, Park JH (2004) Hemolymph sugar homeostasis and starvation-induced hyperactivity affected by genetic manipulations of the adipokinetic hormone-encoding gene in Drosophila melanogaster. Genetics 167: 311–323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Changeux JP (2010) Nicotine addiction and nicotinic receptors: lessons from genetically modified mice. Nat Rev Neurosci 11: 389–401. [DOI] [PubMed] [Google Scholar]
- 41. Albert JL, Lingle CJ (1993) Activation of nicotinic acetylcholine receptors on cultured Drosophila and other insect neurones. J Physiol 463: 605–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Trimarchi JR, Murphey RK (1997) The shaking-B2 mutation disrupts electrical synapses in a flight circuit in adult Drosophila. J Neurosci 17: 4700–4710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Jones AK, Brown LA, Sattelle DB (2007) Insect nicotinic acetylcholine receptor gene families: from genetic model organism to vector, pest and beneficial species. Invert Neurosci 7: 67–73. [DOI] [PubMed] [Google Scholar]
- 44. Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, et al. (2007) A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature 448: 151–156. [DOI] [PubMed] [Google Scholar]
- 45. Wu MN, Ho K, Crocker A, Yue Z, Koh K, et al. (2009) The effects of caffeine on sleep in Drosophila require PKA activity, but not the adenosine receptor. J Neurosci 29: 11029–11037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Thibault ST, Singer MA, Miyazaki WY, Milash B, Dompe NA, et al. (2004) A complementary transposon tool kit for Drosophila melanogaster using P and piggyBac. Nat Genet 36: 283–287. [DOI] [PubMed] [Google Scholar]
- 47. Davis RE, Cohen LS, Mikhli C, Jiao XF, Kiledjian M, et al. (2005) Dcp2 decaps m(2,2,7) GpppN-capped RNAs, and its activity is sequence and context dependent. Mol Cell Biol 25: 8779–8791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Lai EC (2002) Micro RNAs are complementary to 3' UTR sequence motifs that mediate negative post-transcriptional regulation. Nat Genet 30: 363–364. [DOI] [PubMed] [Google Scholar]
- 49. Huang WH, Li MD (2009) Nicotine modulates expression of miR-140*, which targets the 3'-untranslated region of dynamin 1 gene (Dnm1). Int J Neuropsychopharmacol 12: 537–546. [DOI] [PubMed] [Google Scholar]
- 50. Ni JQ, Liu LP, Binari R, Hardy R, Shim HS, et al. (2009) A Drosophila resource of transgenic RNAi lines for neurogenetics. Genetics 182: 1089–1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Scholz H, Franz M, Heberlein U (2005) The hangover gene defines a stress pathway required for ethanol tolerance development. Nature 436: 845–847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Hendricks JC, Finn SM, Panckeri KA, Chavkin J, Williams JA, et al. (2000) Rest in Drosophila is a sleep-like state. Neuron 25: 129–138. [DOI] [PubMed] [Google Scholar]
- 53. Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29: e45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Xu K, Zheng X, Sehgal A (2008) Regulation of feeding and metabolism by neuronal and peripheral clocks in Drosophila. Cell Metab 8: 289–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Cavalieri C, Bolzoni L, Bandini M (2010) Nicotine determination in mushrooms by LC-MS/MS with preliminary studies on the impact of drying on nicotine formation. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 27: 473–477. [DOI] [PubMed] [Google Scholar]
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