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Article

Octopamine Rescues Endurance and Climbing Speed in Drosophila Clkout Mutants with Circadian Rhythm Disruption

by
Maryam Safdar
and
Robert J. Wessells
*
Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
*
Author to whom correspondence should be addressed.
Cells 2023, 12(21), 2515; https://doi.org/10.3390/cells12212515
Submission received: 28 August 2023 / Revised: 18 October 2023 / Accepted: 23 October 2023 / Published: 25 October 2023
(This article belongs to the Collection Molecular Mechanisms of Exercise and Healthspan)
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Abstract

:
Circadian rhythm disturbances are associated with various negative health outcomes, including an increasing incidence of chronic diseases with high societal costs. While exercise can protect against the negative effects of rhythm disruption, it is not available to all those impacted by sleep disruptions, in part because sleep disruption itself reduces exercise capacity. Thus, there is a need for therapeutics that bring the benefits of exercise to this population. Here, we investigate the relationship between exercise and circadian disturbances using a well-established Drosophila model of circadian rhythm loss, the Clkout mutant. We find that Clkout causes reduced exercise capacity, measured as post-training endurance, flight performance, and climbing speed, and these phenotypes are not rescued by chronic exercise training. However, exogenous administration of a molecule known to mediate the effects of chronic exercise, octopamine (OA), was able to effectively rescue mutant exercise performance, including the upregulation of other known exercise-mediating transcripts, without restoring the circadian rhythms of mutants. This work points the way toward the discovery of novel therapeutics that can restore exercise capacity in patients with rhythm disruption.

1. Introduction

Many biological processes in living organisms display rhythmic changes over the course of a 24 h day which are referred to as circadian rhythms [1,2,3]. Rhythmicity can be found in both behaviors and metabolism, including sleep cycles, hormonal changes, blood pressure, and body temperature [1,2,3]. These circadian rhythms are controlled by molecular clocks [4,5] that consist of self-sustaining transcriptional translational feedback loops or TTFLs [6]. These feedback loops can be entrained to several external stimuli, like light and temperature; however, they can continue to cycle on an intrinsic rhythm without external stimuli as well [7]. The feedback loops and their functions are preserved across many species, from mammals to invertebrates like Drosophila [4,5]. The master regulator, often referred to as the central clock, is located in the central nervous system [6]. The central clock consists of one main feedback loop involving four genes [6]. In Drosophila, these include the genes that make up the positive limb of the loop, clock and cycle, and those that make up the negative limb, period and timeless [4,7]. Clock and Cycle form a heterodimer and enter the nucleus to increase the expression of Period and Timeless [7]. These proteins also form a heterodimer once produced and inhibit the function of Clock and Cycle [7]. Once Timeless is degraded, in the presence of light, the inhibition on Clock and Cycle is removed and the cycle can begin again with the transcription and translation of period and timeless [7]. Disruption in any of the four genes can lead to a disruption of the cycle and loss of the central circadian rhythm [6,8]. The central clock controls rhythmic activities in part by communicating with and modulating peripheral clocks in other tissues, including muscle [4,5,9].
The disruption of circadian rhythms can occur due to various causes, including disease, shift work, jet lag, or old age [10,11,12], and is associated with diverse negative health outcomes. In mammals, rhythm disturbances are associated with metabolic syndrome, type 2 diabetes, obesity, reduced cardiovascular health, and overall mortality [12,13,14,15,16]. Likewise, Drosophila experience negative impacts on neurological health and health span with circadian rhythm disturbance [17,18]. Circadian mutants, carrying mutations in one of the core clock genes, display a sensitivity to oxidative stress, and rhythm disruption has also been found to be associated with increased neurodegeneration in flies [17,18,19,20].
Conversely, regular exercise is associated with improved cardiovascular, metabolic, and neurological health both in general [21,22], and specifically in the context of rhythm disruption [23,24,25]. For example, mice missing VIP (vasoactive intestinal peptide), a neuropeptide produced in the suprachiasmatic nucleus that is important for entrainment of circadian rhythms, have altered rhythms of activity, heart rate, and body temperature [26,27]. VIP-deficient mice were shown to regain lost rhythms of body temperature, heart rate, and activity with 2 weeks of voluntary exercise during the active phase of the nocturnal mammal [6,27].
However, the potential benefits of endurance exercise in the context of circadian rhythm disturbance may be limited by the impact of circadian disturbance on exercise capacity itself [28,29,30]. Loss-of-function mutations in some central clock proteins lead to reduced exercise capacity [28]. The overexpression of central clock protein inhibitors can also cause reduced exercise capacity in mice [29]. Furthermore, environmental factors that cause circadian disturbance, such as shift work, may concurrently reduce access to optimal or regular exercise [12]. Mammalian and human studies have shown the importance of time-of-day for exercise, and schedules like those of shift workers may not allow for optimized training [12,30,31,32,33].
Thus, further investigation into the interactions between endurance exercise and circadian rhythm disruption is required to discover methods of bypassing these limitations. Drosophila is a useful model for these studies, as methods to manipulate and measure both circadian rhythms and endurance exercise have been well established [4,23,34,35]. Here, we use the Clkout mutant as a model of rhythm disruption in Drosophila to investigate interactions between circadian rhythms and endurance exercise [8,36].
We have previously identified several key pathways and mediators required for endurance exercise to produce adaptive benefits in Drosophila [34], and shown that these mediators can mimic the effects of endurance exercise training in sedentary flies [37,38,39]. One example is the biogenic amine octopamine [38]. Octopamine (OA) is the functional equivalent of norepinephrine in invertebrates, and its release from octopaminergic neurons and binding to receptors is required for exercise training to produce benefits [38,40]. Feeding of OA to adult flies is sufficient to mimic the effects of training on endurance and climbing speed in Drosophila [38]. Hence, OA is both necessary and sufficient to coordinate the benefits of regular endurance exercise in Drosophila.
Here, we describe a reduced exercise capacity in Clkout mutants. We find that OA feeding can substantially rescue endurance and speed of Clkout mutants without rescuing their circadian rhythms. Further, we go on to identify multiple downstream targets of OA in this process.

2. Materials and Methods

2.1. Fly Stocks and Maintenance

All flies were raised in 25 °C incubators with 50% humidity, on a 10% yeast/sugar diet unless otherwise specified. All flies were also maintained in a 12 h light:dark cycle, excluding those used for assessment of activity rhythm within the standard Drosophila activity monitor setup. All fly lines used were obtained from the Bloomington Drosophila Stock Center; w1118: BDSC3605; Clkout: BDSC56754 (Bloomington Stock Center, Bloomington, IN, USA). The Clkout mutants have previously been described as having an amorphic mutation in the Clk gene and as such have disrupted rhythms of activity and sleep, as they do not produce one of the key proteins involved in circadian cycling [8]. All flies were collected within 48–72 h post-eclosion and cohorts collected within this time frame were considered to be age-matched.

2.2. Exercise

Flies were exercised using an involuntary (i.e., forced) exercise program [41]. Cohorts of at least 1000 flies were collected within 48–72 h of eclosion and separated into vials of 20 flies each. These flies were then further separated into groups of 500 flies each, the exercised (Ex) and unexercised (Un) groups. The vials were topped with foam stoppers and both groups were housed within the conditions described above. The flies were exercised using the Power Tower apparatus (induces automated negative geotaxis response) as previously described [41], with a ramped exercise program of gradually increasing daily duration for three weeks (1.5 h/day first week, 2 h/day second week, 2.5 h/day third week.). Exercise took place five times/week with two rest days each week. Unexercised flies were also placed on the machine at the time of training but were prevented from exercising by having the foam stopper pushed to the bottom of the vial. Assessments were conducted 3–4 days after conclusion of training [41]. All exercise was started around 2 h after lights on for all groups.

2.3. Octopamine Feeding

Flies were transferred, at 2 days after eclosion, to food containing 5 μg/mL of octopamine (obtained from Sigma-Aldrich, St. Louis, MO, USA) or ddH2O vehicle. Experimental flies were maintained on food containing OA whereas controls were maintained on food containing the vehicle. All flies were housed in the same incubator. The concentration of octopamine used was based on previously published dose-response experiments [38].

2.4. Endurance

Endurance was measured by using the Power Tower exercise apparatus to assess time-to-fatigue as previously described [42]. Eight vials containing 20 flies each were placed on the Power Tower and stimulated to climb until exhaustion. Vials were observed at 15 min intervals. A vial was considered fatigued when at least 80 percent of the flies within were unable to climb above 1 cm for four consecutive drops. At this point the vial was removed, and the time of removal was recorded in minutes. GraphPad Prism (Version 10.0.0, GraphPad, San Diego, CA, USA) was used to generate survival curves of the data and significance was assessed by a log-rank test.

2.5. Climbing Speed Evaluation

Climbing speed was evaluated using a modified version of the Rapid Negative Geotaxis (RING) assay as previously described [41,43]. Briefly, cohorts of 100 flies, housed in vials of 20 flies each, were transferred to empty vials mounted in the RING apparatus. After allowing 1 min for assimilation to the new environment, the vials were briskly tapped down, and a picture was taken 2 s after the last tap. Four consecutive trials were conducted for each group daily for 5 days a week over the course of the three-week-long experiments. All experiments were conducted approximately 1–2 h after lights on and prior to the start of the exercise program for the day. The images were batch processed using ImageJ (Version 1.54d, NIH and LOCI, Bethesda, MD, USA) and the data were graphed and analyzed using GraphPad Prism (Version 10.0.0, GraphPad, San Diego, CA, USA). A two-way ANOVA (to account for effects of genotype or treatment, and age) with Tukey’s post-hoc multiple comparisons was used to assess statistical differences.

2.6. Flight Performance Test

A cohort of eight vials, with 20 flies each, was assessed from each group as previously described [41]. Briefly, a Tangle-Trap (sticky fly trapping material, Olson Products Inc., Medina, OH, USA) coated polycarbonate sheet was rolled up and placed within a large cast acrylic tube. The acrylic tube was held in place with a large sized ring stand, the ring attachment was replaced with two chains near the top and bottom of the stand to hold the large tube in place. A plastic funnel with a plastic drop tube affixed to it was centered above the acrylic tube, by use of a smaller ring stand. Vials of flies with the foam stopper removed were dropped down the drop tube, one at a time. The drop down stimulated the flies to fall out of the vials and into the large acrylic tube lined with the sticky polycarbonate sheet. The sheet was removed and propped up next to a meter stick for scale and photographed. Flies stuck in the Tangle-Trap were removed and disposed of after being photographed and the Tangle-Trap was smoothed out before the polycarbonate sheet was returned to the acrylic tube for testing of the next group. Images were processed using ImageJ (Version 1.54d, NIH and LOCI, Bethesda, MD, USA) and data was analyzed using GraphPad Prism (Version 10.0.0, GraphPad, San Diego, CA, USA). A one-way ANOVA or t-test, depending on the number of groups, was used to evaluate statistically significant differences.

2.7. Activity Rhythm Evaluation

The Drosophila Activity Monitors (DAM) (TriKinetics, Waltham, MA, USA) were used to evaluate activity rhythms on cohorts of 16 flies from each group. A modified version of a previously published protocol was used [44]. The DAM tubes were filled with the same food used to house all flies used for our studies. The food was melted in a beaker; sterilized DAM tubes were placed in the liquid food. After the food was given time to solidify, the tubes were removed from the beakers and the outsides were cleaned. Melted wax was used to seal the ends with the food to avoid drying out. Flies were placed onto a CO2 pad to anesthetize them, and one fly was loaded into an individual tube. A small piece of cotton was used to stopper the tubes with the flies. The tubes were loaded into the activity monitors and placed within an empty incubator maintained at 25 °C and 50% humidity. The monitors were connected to the computer as described in the cited protocol with equipment purchased from TriKinetics [44]. Data was collected over the course of 10 days with three days of a 12 h light:dark (LD) cycle, for entrainment, and 7 days of constant dark, dark:dark (DD), conditions. Data was summarized using the ShinyR DAM data analysis application [45]. The main analyses used in this study included actograms, activity in the day and night, and percentage of rhythmic flies in the 24 h dark conditions. Daytime versus nighttime activity changes were analyzed using data collected during the LD phase and comparisons between daytime and nighttime activity were analyzed via t-tests using GraphPad Prism (Version 10.0.0, GraphPad, San Diego, CA, USA). The percentage of rhythmic flies were evaluated using summary data generated by the periodogram feature of the ShinyR application. Differences in percentages of rhythmic flies between genotypes and treatments were statistically analyzed in GraphPad Prism (Version 10.0.0, GraphPad, San Diego, CA, USA) using a chi-square test. The column data sheet format in prism was used to generate a final graph of the percentage of flies that were considered rhythmic in each group, with ‘1′ being designated as a rhythmic fly and ‘0′ being designated as an arrhythmic fly.

2.8. Quantitative Reverse Transcriptase PCR

Flies were fed octopamine or ddH2O containing food for five days and then frozen on the morning of the sixth day, 1–2 h after lights on. Three independent biological replicates were generated for each genotype and treatment group. Total RNA was extracted from frozen whole flies using TRIZOL (Invitrogen, Waltham, MA, USA). The Power SYBR Green Master Mix (Applied Biosystems, Waltham, MA, USA) and the StudioQuant 3 Real-time PCR System (Thermo Fisher Scientific, Waltham, MA, USA) were used to perform one-step qRT-PCR. Twenty (20) μL reactions were generated using the extracted RNA (4 μL at 25 ng/μL), forward and reverse primers (1 μL each at 1 μM), Power SYBR Green PCR Master Mix (10 μL), reverse transcriptase (0.1 μL), RNAse inhibitor (0.025 μL), and ddH2O (3.875 μL). Three technical replicates were loaded onto a 96-well plate for each biological replicate. The qPCR program was set up to run for 40 cycles of the following: 95 °C for 15 s followed by 60 °C for 1 min. The mRNA data was normalized to Act5C. All flies used in qrtPCR analysis were males.
Primers used:
Act5C: F, 5′-CGCAGAGCAAGCGTGGTA-3′; R, 5′-GTGCCACACGCAGCTCAT-3′
Clock: F, 5′-TGGAGTCTCTCGATGGTTTTA-3′; R, 5′-CGGTGTGGGATTCATAAAGAT-3′
Sestrin: F, 5′-ATGTACTACGCCGTCGATTACT-3′; R, 5′-TCGTCCATGTCAAAGTCGGAT-3′
Spargel: F, 5′-GGATTCACGAATGCTAAATGTGTTCC-3′; R, 5′-GATGGGTAGGATGCCGCTCAG-3′

3. Results

3.1. Clkout Mutants Have Severe and Robust Phenotypes in Climbing Speed, Endurance, and Flight Performance

We first evaluated mobility associated phenotypes of several circadian clock mutants obtained from the Bloomington Drosophila Stock Center (BDSC). Three of the mutants were in the Canton-S background and were compared to Canton-S controls [46]. All three, per01, tim01, and Clkjrk, showed significant reductions in endurance. Endurance was evaluated both early on in life, at five days of age, and later in life, at 28 days of age (Supplemental Figure S1). The tim01 mutants also showed the most dramatic decline in endurance with age (Supplemental Figure S1). However, the per01 and Clkjrk mutants did not show any significant climbing speed phenotypes and tim01 only showed a significant reduction in climbing speed later in life (Supplemental Figure S1).
In comparison, Clkout mutants, generated in the w1118 background, had more diverse phenotypes and consistently performed worse than controls in all assessments performed. These mutants were also obtained from the BDSC and were raised and maintained on the same food media as the mutants in the Canton-S background [8]. They were confirmed to have very low clock expression when compared to controls (Supplemental Figure S4). We also confirmed that in our hands the mutants lacked a circadian rhythm through the Drosophila Activity Monitor assay (Supplemental Figure S2). Furthermore, Clkout mutants had significantly lower endurance than w1118 controls (Figure 1A).
The mutants also had a lower climbing speed than controls during all three weeks of the climbing speed assessment, beginning at five days of age (Figure 1B). Because of these more severe and consistent phenotypes, we focused on the Clkout mutant for further experimentation. The flight performance of these mutants was evaluated, and the mutants were found to have worse flight performance than controls at seven days of age (Figure 1C). We also evaluated the performance of females in the same assessments. Female mutants, like males, were found to have significantly worse endurance when compared to w1118 controls (Figure 2A) and were found to have reduced climbing speed and flight performance, similar to males (Figure 2B,C).
Work from our lab and others has consistently shown improvements in health span with exercise training in Drosophila [34,47]. Endurance exercise has also been demonstrated to improve health span in mammalian models of rhythm disruption [6]. So, our next step was to test the effects of three weeks of exercise training on the Clkout mutants. Exercise training did not lead to any improvement of endurance, in the Clkout mutant animals regardless of sex (Figure 1D and Figure 2D). Female controls (w1118) also did not show significant improvements in run span after three weeks of training, as previously observed [38].

3.2. Activation of Exercise Response Pathways by Octopamine Can Rescue Exercise Phenotypes of Clkout Mutants

The failure of a chronic exercise program to rescue the mutants’ endurance and climbing speed could be because exercise is not sufficient to rescue these phenotypes, but alternately, could be because the reduced exercise performance of the mutants prevented them from effectively completing the exercise program [6,24,25,26,27]. To distinguish between these possibilities, we decided to try activating exercise response pathways exogenously without the need for physical training. Precedents exist of Drosophila disease models with severe mobility deficiencies that could be effectively rescued by exogenous applications of exercise-mimicking molecules, i.e., exercise mimetics [42,48]. We have previously identified several such exercise mimetics [37,38]. We hypothesized that the observed Clkout phenotypes could be rescued by using exercise mimetics to bypass the need for physical training.
We chose to rescue through the feeding of octopamine (OA), an invertebrate norepinephrine equivalent. We have previously shown that wild-type females do not respond to exercise training, and this difference is entirely due to sex differences in the activity of OA-ergic neurons during training [38]. OA release is critical for the response to chronic training, and the feeding of OA alone is able to mimic the effects of endurance exercise in both male and female wild-types [38]. As previously observed, in both male and female w1118 flies, OA feeding mimicked the improvements in run span induced by exercise training (Figure 3A,C). Furthermore, OA feeding was able to rescue the endurance of Clkout mutants, leading to significant improvements in run span regardless of training status (Figure 3B), while vehicle-fed controls retained the defects as in Figure 1. The results in female mutant flies were similar to males (Figure 3D).
OA feeding also led to significant improvements in the climbing speed of both w1118 and Clkout flies. Wild-type control males improved climbing speed with either training or OA feeding, with no additive effect between the two treatments (Figure 4A,C), similar to previous observations [38]. OA feeding caused significant improvements in the climbing speed of Clkout mutants, (Figure 4B,D) in contrast to exercise training, which did not improve the mutants’ climbing speed, regardless of sex (Figure 4B,D). However, the flight performance phenotype of Clkout was not rescued by OA feeding (Supplemental Figure S3).
To ask whether rescue of performance by OA acted by rescuing circadian rhythms, or acted independently of the mutants’ circadian defects, we measured activity rhythms during OA feeding. OA feeding did not significantly impact the activity rhythm of either the Clkout flies or the w1118 wild-type controls (Figure 5). OA-fed mutants still had fewer flies with a circadian rhythm than controls (Figure 5A). Mutant males still had slightly higher activity levels when compared to controls and still showed no reductions in activity during the dark (night) hours of the DAM assessment. Mutant females also showed no change in activity during the dark hours, whereas the control females had an obvious reduction in activity during this period. The only exception was the mutant females that had been fed OA, which did show a trend toward reduced activity during the dark period, although it was not statistically significant (Figure 5B).

3.3. Octopamine Feeding Leads to Increased Expression of Two Exercise Response Transcripts

To further elucidate the mechanism by which octopamine feeding rescues endurance and speed of Clkout mutants, we measured changes in gene expression of exercise-related genes. First, we confirmed that Clkout mutants had a reduced expression of Clk at baseline and that OA feeding did not increase Clk expression in the mutants when compared to w1118 controls (Figure 6A,B), as expected given the amorphic nature of the Clkout mutation [8]. We also measured expression two more genes, chosen because both have previously been shown to increase in response to exercise training. These included the PGC-1α homolog Spargel and the stress inducible protein Sestrin. Sestrin has been shown to be critical for exercise training to increase speed and endurance [37,42]. Spargel is regulated by Sestrin and has been shown to be critical for Sestrin’s effects in the context of exercise training [37]. We found that at baseline, Clkout mutants had a reduced expression of both spargel and sestrin when compared to controls (Supplemental Figure S4A,C). After OA feeding, the expression of spargel and sestrin was increased in both control and mutant flies (Figure 6C,D). Furthermore, following OA feeding, the mutants increased expression of both exercise-mediating genes even more than controls did (Supplemental Figure S4B,D), perhaps in compensation for their lower starting levels.

4. Discussion

Here, we described defects in exercise performance of a circadian clock mutant, Clkout, including an inability to respond to exercise training by improving speed and endurance (Figure 1 and Figure 2). We have previously demonstrated that the exercise training protocol used in this study leads to improvements in endurance, flight performance, and climbing speed in wild-type flies [41,47]. Because mutants have reduced speed, it is possible that they take fewer “steps” during the training program, and this may contribute to the lack of response to training. Furthermore, the mutants were found to have reduced baseline expression of two genes that are required for the exercise response, sestrin and spargel, which also likely blunts their ability to respond to training (Figure 6).
Sestrins are evolutionarily conserved, stress-inducible proteins that are critical for the exercise response in both invertebrates and mammals [37]. Drosophila Sestrin has been shown to act through multiple pathways to induce an exercise response and one of these pathways includes the upregulation of Spargel [37,42]. Spargel has been shown to be important for the exercise response in both flies and mammals and its homolog is also a known modulator of clock gene expression in mammalian studies [49,50]. These results are consistent with other models of circadian disruption that have reduced expression of these exercise-related proteins [51,52]. This reduced exercise capacity, along with reduced levels of molecules required for an exercise response may explain why we, consistent with others [53], did not find that exercise could effectively rescue the effects of rhythm disruptions.
Reduced baseline exercise capacity has also been seen in other models of circadian disturbance [6,12,28]. Mice with central clock mutations demonstrate a reduced ability to exercise, assessed through a moderate intensity treadmill test [6,28]. Studies in humans, specifically shift workers, also demonstrate reduced exercise levels although this is usually the result of time constraints that come with life events which produce circadian disruptions [12]. These events often prevent people from achieving exercise at the optimal time of day and receiving the full benefits of exercise [12,28]. Despite this evidence of reduced exercise capacity or access, it has been demonstrated that exercise can still be beneficial in the context of rhythm disruption [6,23]. Mouse models of circadian disruption have improved rhythms of body temperature, activity, and heart rate following voluntary exercise [6]. Exercise has also been demonstrated to improve metabolic, cardiac, and neurological health both within and outside the context of rhythm disruption [21,22,23].
One way to bring the benefits of exercise training to shift workers, with a reduced access to exercise, could be to stimulate downstream molecules induced by exercise that mediate its benefits [37,38]. Here, we demonstrate that such an approach can indeed work in a small animal model, using the exercise-induced mimetic, octopamine (OA) [38].
OA was able to fully rescue the reduced endurance phenotypes of the Clkout mutant to the level of the wild-type controls (Figure 3), and partially rescue climbing speed (Figure 4), without rescuing flight performance (Supplemental Figure S3). These results suggest that OA is more effective at restoring long-term, energy consuming activities in Clkout mutants than at restoring short-term activities requiring a quick burst of energy, such as flight induction. The mechanistic reasons for this are unclear, given that OA can increase all of these performance characteristics in wild-type flies. OA also increased the expression levels of at least two key exercise response genes, which likely mediate the rescue effect of OA. Further work will be necessary to understand whether sestrin and spargel are required for the rescuing effects of OA in Clkout mutants, or whether overexpression of sestrin or spargel alone could also produce a similar rescue.
Octopamine also serves as a wake-promoting neurotransmitter that regulates the circadian rhythm [54], leading us to ask if OA feeding could act, in part, by stabilizing the activity rhythms of Clkout mutants. However, in our hands, OA feeding did not have much impact on the activity rhythms of either mutants or wild-type flies (Figure 5). Another potential explanation for the rescue produced by octopamine feeding is that exogenous octopamine may act on peripheral clocks, like those in the muscle, to rescue peripheral rhythms that may be involved in the metabolic changes required in muscle to produce benefits from exercise [55]. Release of myokines from muscle has been shown to be important for the metabolic changes that occur in other body tissues to allow for adaptations to exercise, and Drosophila OA receptors have been shown to be required for exercise-induced changes in other tissues, suggesting OA must regulate secondary messengers emanating from muscle [56]. Further supporting this idea, OA has recently been shown to upregulate expression of a putative myokine in flies, the FNDC5/Irisin homolog Iditarod [57].
A recent study has identified another potential mechanistic target of exercise in this context, a micro-RNA, dmir283, that may also be involved in the beneficial effect of exercise on aging circadian rhythms [58]. While our study focuses on a circadian mutant rather than age-related decline of circadian rhythms, this micro-RNA may be another avenue to investigate the mechanisms behind the rescues demonstrated here.

5. Conclusions

Here, we show that a Drosophila circadian mutant has reduced exercise performance, and is resistant to improvement by involuntary exercise training. We also show that this reduced exercise capacity can be rescued by an upstream molecule known to mimic exercise in other contexts (Table 1 and Table 2). Understanding the mechanisms behind the beneficial effects of exercise and exercise mimetics on circadian rhythm disruption may reveal novel therapeutic strategies to provide the benefits of training to those unable to exercise or unable to receive the full benefits of endurance exercise, whether due to time constraints or the reduced exercise capacity associated with circadian disturbance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells12212515/s1. Figure S1: Mobility associated phenotypes of circadian mutants in the Canton-S background; Figure S2: Clkout mutants have a disrupted circadian rhythm; Figure S3: Octopamine feeding does not rescue flight performance in Clkout mutants; Figure S4: Clkout mutants have low expression of exercise response genes and Octopamine feeding increases their expression; Figure S5: Octopamine feeding does not impact activity profiles of control or mutant flies; Table S1. Data Deposit.

Author Contributions

Conceptualization, M.S. and R.J.W.; methodology, M.S.; validation, M.S. and R.J.W.; formal analysis, M.S.; investigation, M.S.; resources, R.J.W.; data curation, M.S. and R.J.W.; writing—original draft preparation, M.S.; writing—review and editing, R.J.W. and M.S.; visualization, M.S. and R.J.W.; supervision, R.J.W.; project administration, R.J.W.; funding acquisition, R.J.W. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the NIH (2T32HL120822 to M.S., R21AG055712 and R01AG059683 to R.J.W).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in supplementary materials.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Videnovic, A.; Lazar, A.S.; Barker, R.A.; Overeem, S. ‘The clocks that time us’—Circadian rhythms in neurodegenerative disorders. Nat. Rev. Neurol. 2014, 10, 683–693. [Google Scholar] [CrossRef]
  2. Douma, L.G.; Gumz, M.L. Circadian clock-mediated regulation of blood pressure. Free Radic. Biol. Med. 2018, 119, 108–114. [Google Scholar] [CrossRef] [PubMed]
  3. Krauchi, K. How is the circadian rhythm of core body temperature regulated? Clin. Auton. Res. 2002, 12, 147–149. [Google Scholar] [CrossRef] [PubMed]
  4. Ito, C.; Tomioka, K. Heterogeneity of the Peripheral Circadian Systems in Drosophila melanogaster: A Review. Front. Physiol. 2016, 7, 8. [Google Scholar] [CrossRef] [PubMed]
  5. Takahashi, J.S. Transcriptional architecture of the mammalian circadian clock. Nat. Rev. Genet. 2017, 18, 164–179. [Google Scholar] [CrossRef]
  6. Wolff, C.A.; Esser, K.A. Exercise timing and circadian rhythms. Curr. Opin. Physiol. 2019, 10, 64–69. [Google Scholar] [CrossRef]
  7. Peschel, N.; Helfrich-Förster, C. Setting the clock—By nature: Circadian rhythm in the fruitfly Drosophila melanogaster. FEBS Lett. 2011, 585, 1435–1442. [Google Scholar] [CrossRef]
  8. Mahesh, G.; Jeong, E.; Ng, F.S.; Liu, Y.; Gunawardhana, K.; Houl, J.H.; Yildirim, E.; Amunugama, R.; Jones, R.; Allen, D.L.; et al. Phosphorylation of the transcription activator CLOCK regulates progression through a approximately 24-h feedback loop to influence the circadian period in Drosophila. J. Biol. Chem. 2014, 289, 19681–19693. [Google Scholar] [CrossRef]
  9. Gutierrez-Monreal, M.A.; Harmsen, J.F.; Schrauwen, P.; Esser, K.A. Ticking for Metabolic Health: The Skeletal-Muscle Clocks. Obesity 2020, 28 (Suppl. S1), S46–S54. [Google Scholar] [CrossRef]
  10. Smagula, S.F.; Stone, K.L.; Fabio, A.; Cauley, J.A. Risk factors for sleep disturbances in older adults: Evidence from prospective studies. Sleep Med. Rev. 2016, 25, 21–30. [Google Scholar] [CrossRef]
  11. Kim, M.; Opsasnick, L.; Batio, S.; Benavente, J.Y.; Zheng, P.; Lovett, R.M.; Bailey, S.C.; Kwasny, M.J.; Ladner, D.P.; Chou, S.H.Y.; et al. Prevalence and risk factors of sleep disturbance in adults with underlying health conditions during the ongoing COVID-19 pandemic. Medicine 2022, 101, e30637. [Google Scholar] [CrossRef]
  12. Atkinson, G.; Fullick, S.; Grindey, C.; Maclaren, D. Exercise, energy balance and the shift worker. Sports Med. 2008, 38, 671–685. [Google Scholar] [CrossRef] [PubMed]
  13. Gallicchio, L.; Kalesan, B. Sleep duration and mortality: A systematic review and meta-analysis. J. Sleep Res. 2009, 18, 148–158. [Google Scholar] [CrossRef] [PubMed]
  14. Tobaldini, E.; Cogliati, C.; Fiorelli, E.M.; Nunziata, V.; Wu, M.A.; Prado, M.; Bevilacqua, M.; Trabattoni, D.; Porta, A.; Montano, N. One night on-call: Sleep deprivation affects cardiac autonomic control and inflammation in physicians. Eur. J. Intern. Med. 2013, 24, 664–670. [Google Scholar] [CrossRef] [PubMed]
  15. Lasfargues, G.; Vol, S.; Caces, E.; Le Clesiau, H.; Lecomte, P.; Tichet, J. Relations among night work, dietary habits, biological measure, and health status. Int. J. Behav. Med. 1996, 3, 123–134. [Google Scholar] [CrossRef] [PubMed]
  16. Karlsson, B.; Knutsson, A.; Lindahl, B. Is there an association between shift work and having a metabolic syndrome? Results from a population based study of 27,485 people. Occup. Environ. Med. 2001, 58, 747–752. [Google Scholar] [CrossRef]
  17. Mattis, J.; Sehgal, A. Circadian Rhythms, Sleep, and Disorders of Aging. Trends Endocrinol. Metab. 2016, 27, 192–203. [Google Scholar] [CrossRef]
  18. Krishnan, N.; Rakshit, K.; Chow, E.S.; Wentzell, J.S.; Kretzschmar, D.; Giebultowicz, J.M. Loss of circadian clock accelerates aging in neurodegeneration-prone mutants. Neurobiol. Dis. 2012, 45, 1129–1135. [Google Scholar] [CrossRef]
  19. Means, J.C.; Venkatesan, A.; Gerdes, B.; Fan, J.Y.; Bjes, E.S.; Price, J.L. Drosophila spaghetti and doubletime link the circadian clock and light to caspases, apoptosis and tauopathy. PLoS Genet. 2015, 11, e1005171. [Google Scholar] [CrossRef] [PubMed]
  20. Krishnan, N.; Kretzschmar, D.; Rakshit, K.; Chow, E.; Giebultowicz, J.M. The circadian clock gene period extends healthspan in aging Drosophila melanogaster. Aging 2009, 1, 937–948. [Google Scholar] [CrossRef]
  21. Chen, H.; Chen, C.; Spanos, M.; Li, G.; Lu, R.; Bei, Y.; Xiao, J. Exercise training maintains cardiovascular health: Signaling pathways involved and potential therapeutics. Signal Transduct. Target. Ther. 2022, 7, 306. [Google Scholar] [CrossRef]
  22. Streckmann, F.; Balke, M.; Cavaletti, G.; Toscanelli, A.; Bloch, W.; Decard, B.F.; Lehmann, H.C.; Faude, O. Exercise and Neuropathy: Systematic Review with Meta-Analysis. Sports Med. 2022, 52, 1043–1065. [Google Scholar] [CrossRef]
  23. Ruegsegger, G.N.; Booth, F.W. Health Benefits of Exercise. Cold Spring Harb. Perspect. Med. 2018, 8, a029694. [Google Scholar] [CrossRef] [PubMed]
  24. Erickson, M.L.; Esser, K.A.; Kraus, W.E.; Buford, T.W.; Redman, L.M. A Role for Exercise to Counter Skeletal Muscle Clock Disruption. Exerc. Sport Sci. Rev. 2021, 49, 35–41. [Google Scholar] [CrossRef] [PubMed]
  25. Lim, S.T.; Min, S.K.; Kwon, Y.C.; Park, S.K.; Park, H. Effects of intermittent exercise on biomarkers of cardiovascular risk in night shift workers. Atherosclerosis 2015, 242, 186–190. [Google Scholar] [CrossRef]
  26. Ono, D.; Honma, K.I.; Honma, S. Roles of Neuropeptides, VIP and AVP, in the Mammalian Central Circadian Clock. Front. Neurosci. 2021, 15, 650154. [Google Scholar] [CrossRef]
  27. Schroeder, A.M.; Truong, D.; Loh, D.H.; Jordan, M.C.; Roos, K.P.; Colwell, C.S. Voluntary scheduled exercise alters diurnal rhythms of behaviour, physiology and gene expression in wild-type and vasoactive intestinal peptide-deficient mice. J. Physiol. 2012, 590, 6213–6226. [Google Scholar] [CrossRef]
  28. Adamovich, Y.; Dandavate, V.; Ezagouri, S.; Manella, G.; Zwighaft, Z.; Sobel, J.; Kuperman, Y.; Golik, M.; Auerbach, A.; Itkin, M.; et al. Clock proteins and training modify exercise capacity in a daytime-dependent manner. Proc. Natl. Acad. Sci. USA 2021, 118, e2101115118. [Google Scholar] [CrossRef] [PubMed]
  29. He, S.; Yan, L.; Zhu, R.; Wei, H.; Wang, J.; Zheng, L.; Zhang, Y. Skeletal-Muscle-Specific Overexpression of Chrono Leads to Disruption of Glucose Metabolism and Exercise Capacity. Life 2022, 12, 1233. [Google Scholar] [CrossRef]
  30. Gabriel, B.M.; Zierath, J.R. Circadian rhythms and exercise—Re-setting the clock in metabolic disease. Nat. Rev. Endocrinol. 2019, 15, 197–206. [Google Scholar] [CrossRef]
  31. Machado, F.S.; Foscolo, D.R.; Poletini, M.O.; Coimbra, C.C. Influence of Time-of-Day on Maximal Exercise Capacity Is Related to Daily Thermal Balance but Not to Induced Neuronal Activity in Rats. Front. Physiol. 2016, 7, 464. [Google Scholar] [CrossRef]
  32. Dalbram, E.; Basse, A.L.; Zierath, J.R.; Treebak, J.T. Voluntary wheel running in the late dark phase ameliorates diet-induced obesity in mice without altering insulin action. J. Appl. Physiol. (1985) 2019, 126, 993–1005. [Google Scholar] [CrossRef]
  33. Sedliak, M.; Zeman, M.; Buzgo, G.; Cvecka, J.; Hamar, D.; Laczo, E.; Okuliarova, M.; Vanderka, M.; Kampmiller, T.; Hakkinen, K.; et al. Morphological, molecular and hormonal adaptations to early morning versus afternoon resistance training. Chronobiol. Int. 2018, 35, 450–464. [Google Scholar] [CrossRef]
  34. Watanabe, L.P.; Riddle, N.C. New opportunities: Drosophila as a model system for exercise research. J. Appl. Physiol. (1985) 2019, 127, 482–490. [Google Scholar] [CrossRef] [PubMed]
  35. Sujkowski, A.; Bazzell, B.; Carpenter, K.; Arking, R.; Wessells, R.J. Endurance exercise and selective breeding for longevity extend Drosophila healthspan by overlapping mechanisms. Aging 2015, 7, 535–552. [Google Scholar] [CrossRef] [PubMed]
  36. Liu, T.; Mahesh, G.; Houl, J.H.; Hardin, P.E. Circadian Activators Are Expressed Days before They Initiate Clock Function in Late Pacemaker Neurons from Drosophila. J. Neurosci. 2015, 35, 8662–8671. [Google Scholar] [CrossRef]
  37. Kim, M.; Sujkowski, A.; Namkoong, S.; Gu, B.; Cobb, T.; Kim, B.; Kowalsky, A.H.; Cho, C.S.; Semple, I.; Ro, S.H.; et al. Sestrins are evolutionarily conserved mediators of exercise benefits. Nat. Commun. 2020, 11, 190. [Google Scholar] [CrossRef] [PubMed]
  38. Sujkowski, A.; Ramesh, D.; Brockmann, A.; Wessells, R. Octopamine Drives Endurance Exercise Adaptations in Drosophila. Cell Rep. 2017, 21, 1809–1823. [Google Scholar] [CrossRef]
  39. Vargas-Ortiz, K.; Perez-Vazquez, V.; Macias-Cervantes, M.H. Exercise and Sirtuins: A Way to Mitochondrial Health in Skeletal Muscle. Int. J. Mol. Sci. 2019, 20, 2717. [Google Scholar] [CrossRef]
  40. Sujkowski, A.; Gretzinger, A.; Soave, N.; Todi, S.V.; Wessells, R. Alpha- and beta-adrenergic octopamine receptors in muscle and heart are required for Drosophila exercise adaptations. PLoS Genet. 2020, 16, e1008778. [Google Scholar] [CrossRef]
  41. Damschroder, D.; Cobb, T.; Sujkowski, A.; Wessells, R. Drosophila Endurance Training and Assessment of Its Effects on Systemic Adaptations. Bio Protoc. 2018, 8, e3037. [Google Scholar] [CrossRef]
  42. Sujkowski, A.; Richardson, K.; Prifti, M.V.; Wessells, R.J.; Todi, S.V. Endurance exercise ameliorates phenotypes in Drosophila models of spinocerebellar ataxias. eLife 2022, 11, e75389. [Google Scholar] [CrossRef]
  43. Gargano, J.W.; Martin, I.; Bhandari, P.; Grotewiel, M.S. Rapid iterative negative geotaxis (RING): A new method for assessing age-related locomotor decline in Drosophila. Exp. Gerontol. 2005, 40, 386–395. [Google Scholar] [CrossRef]
  44. Chiu, J.C.; Low, K.H.; Pike, D.H.; Yildirim, E.; Edery, I. Assaying locomotor activity to study circadian rhythms and sleep parameters in Drosophila. J. Vis. Exp. 2010, 43, e2157. [Google Scholar] [CrossRef]
  45. Cichewicz, K.; Hirsh, J. ShinyR-DAM: A program analyzing Drosophila activity, sleep and circadian rhythms. Commun. Biol. 2018, 1, 25. [Google Scholar] [CrossRef] [PubMed]
  46. Konopka, R.J.; Benzer, S. Clock mutants of Drosophila melanogaster. Proc. Natl. Acad. Sci. USA 1971, 68, 2112–2116. [Google Scholar] [CrossRef]
  47. Piazza, N.; Gosangi, B.; Devilla, S.; Arking, R.; Wessells, R. Exercise-training in young Drosophila melanogaster reduces age-related decline in mobility and cardiac performance. PLoS ONE 2009, 4, e5886. [Google Scholar] [CrossRef] [PubMed]
  48. Damschroder, D.; Zapata-Perez, R.; Richardson, K.; Vaz, F.M.; Houtkooper, R.H.; Wessells, R. Stimulating the sir2-spargel axis rescues exercise capacity and mitochondrial respiration in a Drosophila model of Barth syndrome. Dis. Model. Mech. 2022, 15, dmm049279. [Google Scholar] [CrossRef] [PubMed]
  49. Li, S.; Lin, J.D. Transcriptional control of circadian metabolic rhythms in the liver. Diabetes Obes. Metab. 2015, 17 (Suppl. S1), 33–38. [Google Scholar] [CrossRef]
  50. Leone, T.C.; Lehman, J.J.; Finck, B.N.; Schaeffer, P.J.; Wende, A.R.; Boudina, S.; Courtois, M.; Wozniak, D.F.; Sambandam, N.; Bernal-Mizrachi, C.; et al. PGC-1alpha deficiency causes multi-system energy metabolic derangements: Muscle dysfunction, abnormal weight control and hepatic steatosis. PLoS Biol. 2005, 3, e101. [Google Scholar] [CrossRef]
  51. Kochan, D.Z.; Ilnytskyy, Y.; Golubov, A.; Deibel, S.H.; McDonald, R.J.; Kovalchuk, O. Circadian-disruption-induced gene expression changes in rodent mammary tissues. Oncoscience 2016, 3, 58–70. [Google Scholar] [CrossRef] [PubMed]
  52. Lee, J.; Liu, R.; de Jesus, D.; Kim, B.S.; Ma, K.; Moulik, M.; Yechoor, V. Circadian control of beta-cell function and stress responses. Diabetes Obes. Metab. 2015, 17 (Suppl. S1), 123–133. [Google Scholar] [CrossRef] [PubMed]
  53. Rakshit, K.; Wambua, R.; Giebultowicz, T.M.; Giebultowicz, J.M. Effects of exercise on circadian rhythms and mobility in aging Drosophila melanogaster. Exp. Gerontol. 2013, 48, 1260–1265. [Google Scholar] [CrossRef] [PubMed]
  54. Damulewicz, M.; Tyszka, A.; Pyza, E. Light exposure during development affects physiology of adults in Drosophila melanogaster. Front. Physiol. 2022, 13, 1008154. [Google Scholar] [CrossRef]
  55. Hunt, L.C.; Jiao, J.; Wang, Y.D.; Finkelstein, D.; Rao, D.; Curley, M.; Robles-Murguia, M.; Shirinifard, A.; Pagala, V.R.; Peng, J.; et al. Circadian gene variants and the skeletal muscle circadian clock contribute to the evolutionary divergence in longevity across Drosophila populations. Genome Res. 2019, 29, 1262–1276. [Google Scholar] [CrossRef]
  56. Ahsan, M.; Garneau, L.; Aguer, C. The bidirectional relationship between AMPK pathway activation and myokine secretion in skeletal muscle: How it affects energy metabolism. Front. Physiol. 2022, 13, 1040809. [Google Scholar] [CrossRef]
  57. Cobb, T.; Hwang, I.; Soukar, M.; Namkoong, S.; Cho, U.S.; Safdar, M.; Kim, M.; Wessells, R.J.; Lee, J.H. Iditarod, a Drosophila Homolog of the Irisin Precursor Fndc5, Is Critical for Exercise Performance and Cardiac Autophagy. Proc. Natl. Acad. Sci. USA 2023, 120, e2220556120. [Google Scholar] [CrossRef]
  58. Li, Q.; Wang, L.; Cao, Y.; Wang, X.; Tang, C.; Zheng, L. Stable Expression of dmiR-283 in the Brain Promises Positive Effects in Endurance Exercise on Sleep-Wake Behavior in Aging Drosophila. Int. J. Mol. Sci. 2023, 24, 4180. [Google Scholar] [CrossRef]
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Figure 1. Clkout mutants have impaired performance in multiple mobility associated assessments. Clkout mutant males showed reduced endurance even at five days of age compared to background controls (A). Each data point depicts time to exhaustion for 80% of flies in an individual vial (n = 8 vials of 20 flies each) analyzed via log rank. Clkout mutants also have reduced climbing speed across the first three weeks of life (B). Each data point represents the average climbing speed over four pictures taken daily (n = 5 vials of 20 flies each) analyzed longitudinally via a two-way ANOVA. The trend line represents the slope of linear regression. The flight performance of Clkout mutants is also reduced (C). Average landing height between the two groups (n = 8 vials of 20 flies each) was compared using a t-test. Clkout mutants showed no improvement in endurance following three weeks of chronic exercise training while the control w1118 flies showed a significant improvement, n = 8 vials of 20 flies each (D). * p < 0.05, ** p < 0.001, ns is not significant.
Figure 1. Clkout mutants have impaired performance in multiple mobility associated assessments. Clkout mutant males showed reduced endurance even at five days of age compared to background controls (A). Each data point depicts time to exhaustion for 80% of flies in an individual vial (n = 8 vials of 20 flies each) analyzed via log rank. Clkout mutants also have reduced climbing speed across the first three weeks of life (B). Each data point represents the average climbing speed over four pictures taken daily (n = 5 vials of 20 flies each) analyzed longitudinally via a two-way ANOVA. The trend line represents the slope of linear regression. The flight performance of Clkout mutants is also reduced (C). Average landing height between the two groups (n = 8 vials of 20 flies each) was compared using a t-test. Clkout mutants showed no improvement in endurance following three weeks of chronic exercise training while the control w1118 flies showed a significant improvement, n = 8 vials of 20 flies each (D). * p < 0.05, ** p < 0.001, ns is not significant.
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Figure 2. Clkout mutant females have impaired exercise performance. At 5 days of age Clkout females had significantly lower endurance than w1118 controls, n = 8 vials of 20 flies each, (log-rank) (A). Clkout females also had significantly reduced climbing speed, n = 5 vials of 20 flies each, (two-way ANOVA), line represents linear regression (B). Flight performance in Clkout females was also significantly worse than controls, n = 8 vials of 20 flies each, (t-test) (C). Neither Clkout females, nor w1118 females showed any improvement in endurance with three weeks of endurance exercise training, n = 8 vials of 20 flies each, (log-rank analysis) (D). Control data displayed here, to allow for direct comparisons between untreated mutant and untreated control female flies, is also shown in rescue experiments in later figures. * p < 0.05, ** p < 0.001, ns is not significant.
Figure 2. Clkout mutant females have impaired exercise performance. At 5 days of age Clkout females had significantly lower endurance than w1118 controls, n = 8 vials of 20 flies each, (log-rank) (A). Clkout females also had significantly reduced climbing speed, n = 5 vials of 20 flies each, (two-way ANOVA), line represents linear regression (B). Flight performance in Clkout females was also significantly worse than controls, n = 8 vials of 20 flies each, (t-test) (C). Neither Clkout females, nor w1118 females showed any improvement in endurance with three weeks of endurance exercise training, n = 8 vials of 20 flies each, (log-rank analysis) (D). Control data displayed here, to allow for direct comparisons between untreated mutant and untreated control female flies, is also shown in rescue experiments in later figures. * p < 0.05, ** p < 0.001, ns is not significant.
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Figure 3. Octopamine feeding rescues the endurance phenotype of male and female Clkout mutants. Male controls responded to exercise training (A), while females did not (C), as expected. Three weeks of OA feeding led to significantly improved endurance in male (A) and female (C) control flies and had no additive benefit with exercise. OA feeding rescued the endurance of Clkout males (B) and females (D) regardless of training status. n = 8 vials of 20 flies each, log-rank analysis. * p < 0.05, ** p < 0.001, ns is not significant.
Figure 3. Octopamine feeding rescues the endurance phenotype of male and female Clkout mutants. Male controls responded to exercise training (A), while females did not (C), as expected. Three weeks of OA feeding led to significantly improved endurance in male (A) and female (C) control flies and had no additive benefit with exercise. OA feeding rescued the endurance of Clkout males (B) and females (D) regardless of training status. n = 8 vials of 20 flies each, log-rank analysis. * p < 0.05, ** p < 0.001, ns is not significant.
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Figure 4. Octopamine feeding rescues the climbing speed phenotype of male and female Clkout mutants. Three weeks of octopamine (OA) feeding improved climbing speed of Clkout mutants, while exercise training provided no additive benefits. Exercise training did not rescue climbing of Clkout mutants in the absence of OA. Similar results were seen in both male and female mutants (B,D). w1118 male controls showed improved climbing speed in response to exercise training or to OA feeding, and training did not have additive benefits with OA feeding in males (A). w1118 females did not show any improvements in response to training but did show significant improvements with OA feeding, consistent with previous results [38] (C). Age had a significant effect on climbing speed in all groups (p < 0.0001 for main effect of age) and had a significant interaction with exercise in w1118 males (p = 0.0053), and a significant interaction with OA feeding in all but w1118 males (Clkout males p = 0.002, Clkout females p < 0.0001, w1118 females p < 0.0001). n = 5 vials of 20 flies each, two-way ANOVA and three-way ANOVA, lines represent linear regression. * p < 0.05, ns is not significant.
Figure 4. Octopamine feeding rescues the climbing speed phenotype of male and female Clkout mutants. Three weeks of octopamine (OA) feeding improved climbing speed of Clkout mutants, while exercise training provided no additive benefits. Exercise training did not rescue climbing of Clkout mutants in the absence of OA. Similar results were seen in both male and female mutants (B,D). w1118 male controls showed improved climbing speed in response to exercise training or to OA feeding, and training did not have additive benefits with OA feeding in males (A). w1118 females did not show any improvements in response to training but did show significant improvements with OA feeding, consistent with previous results [38] (C). Age had a significant effect on climbing speed in all groups (p < 0.0001 for main effect of age) and had a significant interaction with exercise in w1118 males (p = 0.0053), and a significant interaction with OA feeding in all but w1118 males (Clkout males p = 0.002, Clkout females p < 0.0001, w1118 females p < 0.0001). n = 5 vials of 20 flies each, two-way ANOVA and three-way ANOVA, lines represent linear regression. * p < 0.05, ns is not significant.
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Figure 5. Octopamine feeding does not rescue activity rhythm phenotypes of Clkout mutants. No significant changes were observed in the percentage of rhythmic flies within the control or experimental groups after OA feeding. However, all the mutants performed significantly worse than the controls. All comparisons under the bars (control vs. OA) were not significant while all those between bars (w1118 vs. Clkout) were significantly different, n = 16 (A). Main effects of OA treatment and genotype were analyzed via two-way ANOVAs; genotype was found to have a significant main effect (p = 0.0150) while OA feeding did not have a significant main effect (p = 0.1337). Percent rhythmicity between groups was compared via a chi-square test. Regardless of treatment or sex, all control flies had significantly lower activity during the nighttime hours. The mutant cohorts showed no significant decrease in activity during the nighttime hours. The only possible exception were mutant females which trended toward a lower activity in the dark hours; however, the difference in activity from light to dark hours was not significant (p = 0.1014). n = 16, t-test (B). * p < 0.05, ** p < 0.001, ns is not significant. The assessment of rhythmicity was conducted in DD conditions, while daytime vs. nighttime activity was assessed in LD.
Figure 5. Octopamine feeding does not rescue activity rhythm phenotypes of Clkout mutants. No significant changes were observed in the percentage of rhythmic flies within the control or experimental groups after OA feeding. However, all the mutants performed significantly worse than the controls. All comparisons under the bars (control vs. OA) were not significant while all those between bars (w1118 vs. Clkout) were significantly different, n = 16 (A). Main effects of OA treatment and genotype were analyzed via two-way ANOVAs; genotype was found to have a significant main effect (p = 0.0150) while OA feeding did not have a significant main effect (p = 0.1337). Percent rhythmicity between groups was compared via a chi-square test. Regardless of treatment or sex, all control flies had significantly lower activity during the nighttime hours. The mutant cohorts showed no significant decrease in activity during the nighttime hours. The only possible exception were mutant females which trended toward a lower activity in the dark hours; however, the difference in activity from light to dark hours was not significant (p = 0.1014). n = 16, t-test (B). * p < 0.05, ** p < 0.001, ns is not significant. The assessment of rhythmicity was conducted in DD conditions, while daytime vs. nighttime activity was assessed in LD.
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Figure 6. Octopamine feeding increases expression of exercise response genes in Clkout mutants but does not impact Clock gene expression. qRT-PCR was used to evaluate expression of key genes in mutants and controls. Clkout mutants had lower clock gene expression when compared to w1118 controls, n = 3 biological replicates, (t-test) (A). OA feeding did not cause a significant change in the expression of clock in the mutants (B). However, OA feeding did lead to increased expression of both exercise response genes, sestrin and spargel, in both w1118 (C) and Clkout (D). The delta Ct method was used to compare gene expression between flies fed OA and those fed normal food, n = 3 biological replicates with three technical replicates within each biological replicate, t-test, * p < 0.05, ** p < 0.001.
Figure 6. Octopamine feeding increases expression of exercise response genes in Clkout mutants but does not impact Clock gene expression. qRT-PCR was used to evaluate expression of key genes in mutants and controls. Clkout mutants had lower clock gene expression when compared to w1118 controls, n = 3 biological replicates, (t-test) (A). OA feeding did not cause a significant change in the expression of clock in the mutants (B). However, OA feeding did lead to increased expression of both exercise response genes, sestrin and spargel, in both w1118 (C) and Clkout (D). The delta Ct method was used to compare gene expression between flies fed OA and those fed normal food, n = 3 biological replicates with three technical replicates within each biological replicate, t-test, * p < 0.05, ** p < 0.001.
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Table 1. Summary of endurance data.
Table 1. Summary of endurance data.
Endurance
w1118 Malesw1118 FemalesClkout MalesClkout Females
Exercise+---
OA Feeding++++
Exercise x OA ----
Table 2. Summary of climbing speed data.
Table 2. Summary of climbing speed data.
Climbing Speed
w1118 Malesw1118 FemalesClkout MalesClkout Females
Exercise+---
OA Feeding++++
Exercise x OA----
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Safdar, M.; Wessells, R.J. Octopamine Rescues Endurance and Climbing Speed in Drosophila Clkout Mutants with Circadian Rhythm Disruption. Cells 2023, 12, 2515. https://doi.org/10.3390/cells12212515

AMA Style

Safdar M, Wessells RJ. Octopamine Rescues Endurance and Climbing Speed in Drosophila Clkout Mutants with Circadian Rhythm Disruption. Cells. 2023; 12(21):2515. https://doi.org/10.3390/cells12212515

Chicago/Turabian Style

Safdar, Maryam, and Robert J. Wessells. 2023. "Octopamine Rescues Endurance and Climbing Speed in Drosophila Clkout Mutants with Circadian Rhythm Disruption" Cells 12, no. 21: 2515. https://doi.org/10.3390/cells12212515

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