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Open Access

Peer-reviewed

Research Article

RNAi of Complex I and V of the electron transport chain in glutamate neurons extends life span, increases sleep, and decreases locomotor activity in Drosophila melanogaster

Abstract

RNAi targeting the electron transport chain has been proven to prolong life span in many different species, and experiments specifically with Drosophila melanogaster and Caenorhabditis elegans have shown a distinct role for neurons. To determine which subset of neurons is implicated in this life span extension, we used the GAL4/UAS system to activate RNAi against genes of Complex I and Complex V. We found life span extension of 18–24% with two glutamate neuron (D42 and VGlut) GAL4 lines. We used the GAL80 system to determine if the overlapping set of glutamate neurons in these two GAL4 lines imparts the life span extension. Limiting GAL4 activity to non-VGlut glutamate neurons in the D42 background failed to extend life span, suggesting that glutamate neurons have an important role in aging. Interestingly, RNAi of the electron transport chain in D42 glutamate neurons also caused an increase in daytime and nighttime sleep and a decrease in nighttime locomotor activity. Changes to sleep patterns and prolonged life span were not accompanied by any changes in female fertility or response to starvation. Our findings demonstrate that a small subset of neurons can control life span, and further studies can look into the contributions made by glutamate neurons.

Citation: Landis JE, Sungu K, Sipe H, Copeland JM (2023) RNAi of Complex I and V of the electron transport chain in glutamate neurons extends life span, increases sleep, and decreases locomotor activity in Drosophila melanogaster. PLoS ONE 18(6): e0286828. https://doi.org/10.1371/journal.pone.0286828

Editor: Efthimios M. C. Skoulakis, Biomedical Sciences Research Center Alexander Fleming, GREECE

Received: December 16, 2022; Accepted: May 24, 2023; Published: June 15, 2023

Copyright: © 2023 Landis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the manuscript and its Supporting Information files.

Funding: J.M.C. is supported by a Small Project Research Grant from the Virginia Academy of Science. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.”

Competing interests: The authors have declared that no competing interests exist.

Introduction

Aging is marked by progressive tissue dysfunction, with common hallmarks in mammals, flies, worms, and fish. Such tissue dysfunction includes neurological impairments in cognitive function and memory and an increased likelihood of neurodegenerative diseases [1]. Within cells, aging manifests as mitochondrial dysfunction, telomere loss, cell senescence, stem cell exhaustion, and disrupted cell signaling [2].

Mitochondrial dysfunction is a critical determinant in physiological aging, and the electron transport chain (ETC) is essential to mitochondrial activity. The ETC is comprised of five large protein complexes and produces most of the ATP and reactive oxygen species (ROS) in the cell. Changes by RNAi or mutations in individual components of the ETC are known to extend life span in many disparate species [3]. Loss of ETC activity is not the only means to prolong life span. Overexpression of Ndi-1, a single component acting as NADH dehydrogenase/ubiquinone oxidoreductase I, can likewise extend life span in Drosophila [4, 5]. One connection between aging, ETC function, and life span is the production of ROS in the mitochondria. It has been observed that low concentrations of ROS in the cell stimulates mitohormesis, an adaptive cytoprotective response, but high concentrations accelerate aging [6, 7]. The concentration of ROS in particular is determined by the individual ETC component involved; a highly reduced pool of ubiquinone drives reverse electron transport and can prolong life span [8]. Even though targeting ETC components by RNAi is sufficient to extend life span, the production of mitochondrial ROS has yet to be measured in Drosophila and C. elegans.

While the creation and the cellular response to ROS are critical for aging, so is the removal of dysfunctional mitochondria. With advancing age, the number of dysfunctional mitochondria accumulate within a cell, with the older mitochondria characterized by their swollen size, fragmented appearance, and decreased respiratory ability [9]. Concurrent with the increase of faulty mitochondria is the increased response of mitophagy. Mitophagy is one type of autophagy in which dysfunctional mitochondria are selectively sequestered and degraded by the lysosome. Several studies have uncovered that elevated levels of mitochondrial fission extend life span through the recovery of dysfunctional mitochondria [10, 11]. All of these studies underscore the importance of healthy mitochondria in promoting functional cellular activity and normal health span.

Particular subsets of cells can aging of the entire animal. For example, RNAi manipulations of the ETC only in neurons can extend life span in both Drosophila and C. elegans [12, 13]. Once again, the importance of mitochondria in neuronal aging is not determined by activity of the ETC alone as changes in the proteins involved in mitophagy show similar effect [10, 11]. In addition, changes to mitochondrial fission in neurons have effects elsewhere. For example, upregulation of the mitophagy protein BNIP3 reduces age-related protein aggregation in muscles and improves intestinal barrier function [11]. Certainly not all neurons affect life span equally. Activated RNAi of the ETC in dopamine and serotonin neurons shortens life span in Drosophila [14]. Given the effects that neurons have on aging, questions remain as to which particular neurons impart these changes.

Glutamate neurons are involved in several behaviors impacted by age, like movement, sleep, and circadian rhythms. A decline in motor activity corresponds with advanced aging, and a few studies in C. elegans and Drosophila have shown that prolonged life span can negatively affect movement [15, 16]. Likewise, sleep patterns change with increasing age in both humans and flies, as observed specifically in fragmented and weakened sleep:wake cycles [17, 18]. Though sleep is a complex behavior involving many neuron clusters in the adult brain, glutamate neurons, specifically the dorsal clock neurons (DN1s), lateral posterior neurons (LPNs), and superior lateral protocerebrum neurons (SPNs), have been shown to have sleep promoting effects [19–21]. Given these connections between life span, movement, sleep, and glutamate neurons, we activated RNAi against two components of the ETC in glutamate neurons and explored the effects on life span and these behaviors. Our results demonstrate that RNAi modification of components of the ETC in glutamate neurons extends life span, decreases nighttime locomotor activity, and increases daytime and nighttime sleep in flies.

Materials and methods

Fly strains used

The D42-GAL4 (BL-8816), VGlut-GAL4 (OK371; BL-26160), ChAT-GAL4 (BL-6798), and VGlut-GAL80 (BL-58448) fly strains were obtained from the Bloomington Stock Center (NIH P40OD018537, Bloomington, IN). The RNAi lines targeting the electron transport chain genes ND-20/CG9172 (23256) and ATPsynF062L/CG5389 (22112) were purchased from the Vienna Drosophila RNAi Center (Vienna, Austria) and were backcrossed ten times to the white1118 laboratory strain to minimize hybrid vigor [22].

Life span assays

Flies for the life span assays were kept in a temperature-controlled (25°C) container with 12:12 light:dark cycle at an average density of 25 flies per vial. Male and female adult flies were maintained separately. Flies were maintained on standard cornmeal food and flipped to fresh food twice a week. All life span experiments were conducted in duplicate. Prism9 (GraphPad, San Diego, CA) and Excel (Microsoft) software were used to analyze the life span data.

Activity monitor

10 day old males with D42-GAL4 activated RNAi against CG9172 and CG5389 or crossed with white1118 laboratory strain were used for behavioral analysis. Flies were monitored with a 2 μW/cm2 intensity green LED light for 7 days at 12:12 light:dark cycle, followed by 7 days of 24 hrs dark cycle in Trikinetics activity monitors (Waltham, MA). Flies were maintained at 22°C, 60% relative humidity. 32 male flies were used per condition, and activity monitor tubes contained a plug of fly food at one end. Experiments using the activity monitor were conducted in duplicate. Data were analyzed using the ShinyR-DAM program [23] and Microsoft Excel.

Fertility

To measure female fertility in the D42-GAL4 activated RNAi lines, 3-day old virgin females were mated to 2-day old w1118 males. Each fly cross contained 5 adult females and 7 adult males and each experiment had three vials. Parental flies were transferred to new vials 2–3 times per week, and progeny were counted every day after eclosion. Experiments were conducted in duplicate.

Stress resistance

Response to starvation were recorded in the D42-GAL4 activated electron transport chain RNAi lines. Starvation conditions were created by placing 10-day old females on 1% agar. Experiments were conducted in duplicate.

Results

In previous studies, RNAi targeting individual components of the electron transport chain only to neurons was sufficient to prolong Drosophila life span by approximately 15%, a difference of approximately 10 days [12]. Given these results, we set out to uncover which neuronal subtypes are important for life span extension. In this study, we used the GAL4/UAS system to activate RNAi in specific subsets of neurons. Specifically, the D42-GAL4 and the VGlut-GAL4 (OK371-GAL4) driver lines were used to broadly target an overlapping set of glutamate neurons, and ChAT-GAL4 to target cholinergic neurons. Using both D42- and VGlut-GAL4 driver lines was important as these lines show overlapping expression in adult and larval brains and in motor neurons. RNAi was used to affect the activity of the Complex I gene CG9172 and the Complex V gene CG5389. The life span of flies with activated RNAi was compared to that of heterozygous GAL4 flies without the UAS-RNAi elements.

We observed a life span extension of 23% and 18% (p < 0.0001), respectively, when RNAi targeted CG9172 and CG5389 in D42-GAL4 glutamate neurons (Fig 1A and 1B; Table 1). Similar life span extension of 24% and 22% (p < 0.0001) was observed using the VGlut-GAL4 line (Fig 1C and 1D). A smaller life span extension of about 12% was observed with RNAi activation in cholinergic neurons (p < 0.0001). Maximum life span, as measured as the life span of the top 10% longest living cohort, was also prolonged in flies with RNAi activated by both glutamate GAL4 lines. A marginal increase in maximum life span was seen with RNAi in cholinergic neurons (Table 1). Although the response was not as consistent as for female flies, average male life span was prolonged by 11 to 28% in ETC RNAi activated by the D42- and VGlut-GAL4 lines, showing that the response is conserved among the sexes (S1 Fig and S1 Table). Life spans of unactivated UAS-CG5389-RNAi and UAS-CG9172-RNAi showed only a 6–7% increase when compared to a white1118 control line, indicating that extension is not simply an artifact of the UAS-RNAi element itself (S2 Fig).

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Fig 1. RNAi of electron transport chain components in glutamate neurons is sufficient for female life span extension in Drosophila.

Females of the indicated GAL4 driver were mated to a white1118 control (open circles) or UAS-CG9172-RNAi (light blue), or UAS-CG5389-RNAi (dark blue) lines. (A, B) Survival curves of RNAi against CG9172 and CG5389 RNAi in D42-GAL4 glutamate neurons show comparable 23% and 18% (p < 0.0001, log rank test) life span extension. (C, D) In VGlut-GAL4 glutamate neurons, RNAi of CG9172 and CG5389 leads to an extension of 24% and 22%, respectively (p < 0.0001). (E, F) RNAi of CG9172 and CG5389 in ChAT-GAL4 acetylcholine neurons extends life span by 12% (p < 0.0001). (G, H) Activating RNAi against CG9172 and CG5389 to the set of non-overlapping set of glutamate neurons (D42-GAL4; VGlut-GAL80) minimizes life span extension to 6% and 5%, respectively (p < 0.0001).

https://doi.org/10.1371/journal.pone.0286828.g001

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Table 1. Descriptive statistics of female life span in neuron-specific RNAi of the electron transport chain.

https://doi.org/10.1371/journal.pone.0286828.t001

To determine if the overlapping set of glutamate neurons are responsible for the life extension, the GAL4/GAL80 system was employed to block RNAi activation in these cells. In our experiment, ETC RNAi was activated in D42-GAL4 glutamate neurons, but inhibited in VGlut-GAL80 expressing neurons. In these flies, life span extension was significantly reduced in activated CG9172 and CG5389 RNAi lines (Fig 1G and 1H). These results highlight the crucial role that glutamate neurons play in life span extension. We did notice that activated RNAi in cholinergic neurons had no effect on life span in males (S1 Fig and S1 Table). With this mixed effect in cholinergic neurons, we focused our experiments using the D42 glutamate neuron GAL4 driver line, though we recognize the potential importance of cholinergic neurons in aging.

Decreased Drosophila motor activity during dark phase in a 12 hour light/dark cycle

With such a noticeable life span extension from glutamate neurons with activated ETC RNAi, we wanted to explore a possible relationship between activity and aging. We used Trikinetics activity monitors (Waltham, MA) on flies with RNAi targeting CG9172 and CG5389. Cohorts of 10 day old male flies were placed in the activity monitor in 12:12 light/dark (LD) conditions for 7 days and then switched to all dark (DD) settings for 7 days. Even though female flies showed a more robust life span extension and might show a greater difference in activity, we used male flies instead to eliminate egg laying behavior and inclusion of progeny in the measurements. Overall average activity was measured for 24 hour periods, as well as activity specifically during the light phase and dark phase. As a control group, flies carrying only the D42-GAL4 genetic element were included.

CG9172 and CG5389 RNAi flies were significantly less active compared to the D42-GAL4 control flies. In the 24 hour LD cycle, CG9172 RNAi flies were 32% less active and CG5389 RNAi flies were 40% less active (p < 0.0001) (Fig 2 and S2 Table). This decrease in activity was specific for nighttime. During the 12 hour dark phase, the CG9172 RNAi and CG5389 RNAi flies were 64% and 69% (p < 0.0001) less active than the control group. In the light phase, the decline in activity did not meet statistical significance. The activity of the UAS-CG5389-RNAi and UAS-CG9172-RNAi control flies failed to show any statistical difference with the D42-GAL4 group, indicating that the UAS-RNAi elements are not responsible for the decreased activity (S3 Fig and S2 Table).

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Fig 2. RNAi of electron transport chain components in glutamate neurons decreases nighttime activity in 10 day old flies.

Adult male flies of either the D42-GAL4 control line (white) and activated CG9172 RNAi (light blue) and CG5389 RNAi (dark blue) were tested for their activity starting at 10 days of adulthood. Data are presented as means +/- SEM and compared using one-way ANOVA with a Tukey’s post-hoc test. (A) Average activity over 24 hours in a LD cycle saw a decrease of 32% (p = 0.029) and 39% (p = 0.005) in RNAi targeting CG9172 and CG5389. (B) Targeting CG9172 and CG5389 by RNAi leads to a decrease in average activity during the dark phase of a 24 hour LD cycle by 64% and 69% (p < 0.0001), respectively. (C) Average activity during the light phase was not statistically altered in CG9172 and CG5389 RNAi activated flies (p = 0.86, p = 0.54), respectively. (D) Representative activity profile over 24 hours. (E) RNAi targeting of CG9172 and CG5389 in a 24 DD cycle decreased activity by 21% (p = 0.0011) and 32% (p < 0.0001), respectively.

https://doi.org/10.1371/journal.pone.0286828.g002

In general, all flies tended to be more active in the DD setting than in the 24 hour LD phase, but the activated RNAi flies were consistently less active than the D42-GAL4 control line. In DD, the CG9172 RNAi flies were 21% less active (p < 0.0011) and the CG5389 RNAi flies were 32% less active (p < 0.0011).

Increased sleep observed during a 12 hour light/dark cycle in electron transport chain RNAi flies

The most pronounced effect on activity in the ETC RNAi lines was during the dark phase in the LD conditions. Given the timing of this effect, we wanted to explore a possible connection with sleep. Sleep was defined as bouts of inactivity longer than 5 minutes [18]. Using the data collected from the activity monitors, the average amount of sleep was calculated per fly for a 30 minute period. Data was also analyzed depending on the phase of the 24 hour light/dark cycle.

The data clearly shows a dramatic increase in the amount of sleep in the ETC RNAi flies. The average amount sleep for the 24 hour LD period increased by 95% and 115% (p < 0.0001) for the CG9172 RNAi and CG5389 RNAi lines, respectively (Fig 3 and S3 Table). The increase in sleep was not limited to a particular phase of the LD cycle, but the changes during the dark phase (p < 0.0001) were more statistically significant than the light phase (p = 0.03–0.002). The activated RNAi flies also exhibited a significantly longer sleep bout length than the control. Bout length increased 31.1% and 41.8% (p < 0.0001) in the CG9172 and CG5389 RNAi lines. The unactivated UAS-RNAi elements are not the cause for the increased sleep since these flies sleep comparably to the D42-GAL4 control group (S3 Fig).

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Fig 3. RNAi of electron transport chain components in glutamate neurons increases sleep in 10 day old flies.

Adult male flies of either the D42-GAL4 control line (white) and activated CG9172 RNAi (light blue) and CG5389 RNAi (dark blue) were tested for overall sleep starting at 10 days of adulthood. Sleep data is presented as average time asleep per 30 minutes, shown as means +/- SEM, and compared using one-way ANOVA with a Tukey’s post-hoc test. (A) The average amount of sleep over 24 hours in a LD cycle increases by 95% (p < 0.0001) and 115% (p < 0.0001) in RNAi targeting CG9172 and CG5389. (B) Average sleep amount during the nighttime phase increases by 95% and 107% (p < 0.0001). (C) A similar increase in sleep amounts is seen during the light phase for CG9172 RNAi (94%, p = 0.035) and CG5389 RNAi (130%, p = 0.0022) adults. (D) Representative sleep profile over 24 hours. (E) RNAi targeting of CG9172 and CG5389 increases length of a sleep bout by 31% (p < 0.0001) and 41% (p < 0.0001), respectively.

https://doi.org/10.1371/journal.pone.0286828.g003

No effect on female fertility and starvation with electron transport chain RNAi in glutamate neurons

In addition to monitoring activity and sleep, fertility rate and response to starvation conditions were studied to assess possible physiological impacts of ETC RNAi. Oftentimes, extended life span causes a reciprocal decline in reproductive capacity [24]. For example, decrease in ETC functioning in Caenorhabditis elegans shows a decrease in fertility as well as movement [15, 25]. In this study, we measured female fertility by counting the amount of adult progeny produced over the first 30 days of adulthood in flies with RNAi activated in D42-GAL4 glutamate neurons. RNAi of CG9172 or CG5389 did not affect female fertility in comparison to the D42-GAL4 control line (Fig 4). These results are consistent with a previous study that noted no change in female fertility in pan-neuronal RNAi of the same electron transport chain genes [12]. To extend the study of possible physiological costs for prolonged life span, we examined the ETC RNAi flies response to starvation. Starvation conditions were created by placing 10 day old females on 1% agar. ETC RNAi flies had life spans 4% shorter than the D42-GAL4 control lines, though these results were only statistically significant in the CG5389-RNAi flies. Unactivated UAS-RNAi do not affect fertility or response to starvation as these elements have similar response as the D42-GAL4 control group (S4 Fig). Given the minimal effect and the difference between the two ETC RNAi lines, these results do not show any meaningful sensitization to starvation.

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Fig 4. Activation of components of the electron transport chain RNAi in glutamate neurons confers no significant effect on female fertility and starvation response.

Females with the D42-GAL4 driver were mated to a white1118 control line (open circles) or RNAi targeting CG9172 (light blue) or CG5389 (dark blue) lines. (A, B) Activation of RNAi to CG9172 (p = 0.98, two way ANOVA) and CG5389 (p = 0.47) in glutamate neurons does not affect female fertility. (C, D). Starvation in females with activated RNAi to the electron transport chain genes specifically in D42-GAL4 neurons has a minimal effect on overall survival (CG9172, no change, p = 0.32; CG5389, decrease 4%, p = 0.0005).

https://doi.org/10.1371/journal.pone.0286828.g004

All data collected for the life span, activity, sleep, fertility, and starvation experiments are included in the supplementary information (S4–S9 Tables)

Discussion

In this report, we present evidence for a role of glutamate neurons in modulating Drosophila life span. RNAi targeting individual components of the ETC in glutamate neurons was sufficient to extend life span by 18 to 24%. RNAi of the same ETC components caused a remarkable increase in sleep and a decrease in activity specifically during the dark phase of a 24 LD cycle.

Previous work has established that RNAi of the ETC in neurons alone is sufficient to extend life span. Specifically, activation of RNAi in neurons of components from Complex I, IV, and V and ectopic expression of the single Complex I subunit Ndi1 prolongs life span [12, 26]. The results presented here show a more refined understanding of neurons in aging. Though we see a more robust life span extension with glutamate neurons, our results are comparable to previous studies using a pan-neuronal GAL4 driver and even within this study with acetylcholine neurons [12]. This is not to say that all neurons participate equally in aging. ETC RNAi in dopamine and serotonin neurons shortens life span [14]. The significant life span extension observed in males ETC RNAi in glutamate neurons raises the possibility that glutamate neurons have a more prominent role. We do recognize that the results in males could be an artifact of differences in GAL4 expression between driver lines. The D42-GAL4 and VGlut-GAL4 are routinely used to drive gene expression in glutamate neurons and are known to be active in an overlapping set of cells [27, 28]. In our experiments, we notice a significantly smaller life span extension with the addition of the VGlut-GAL80 element to flies with RNAi active in D42-GAL4 glutamate neurons. These results strongly suggest that glutamate neurons have an important role in life span extension.

The fact that alterations of mitochondrial function in a specific tissue affect Drosophila life span is not surprising, as changes in the intestines have similar effects. Intestine-specific expression of Ndi1 or RNAi inactivation of a Complex V subunit can significantly lengthen life span in flies and nematodes, respectively [5, 25]. Life span extension is not limited directly to the ETC as promoting mitochondrial biogenesis in the intestines had similar effects [29]. It is worth noting the complex association between longevity and intestinal integrity. Dysfunction of the intestinal barrier precedes aging-related decline and can cause alterations of the microbiota, though changes to the microbiota are not driving life span [30, 31]. Our results might have connection with the demonstrated importance of the intestines in life span determination. Other studies have demonstrated that changes in the nutrient sensor AMPK in neurons can induce intestinal autophagy, decrease intestinal barrier dysfunction, and prolong life span [32]. Glutamate motor neurons are known to innervate the digestive tract hindgut and proventriculus, potentially connecting these two aging-important tissues [33, 34]. Certainly, it is worth exploring the importance of intestinal integrity in life span extension observed in flies with glutamate neuron-specific ETC RNAi.

In this work, we confirm the previously noted role of the electron transport chain in sleep and motor activity, though we identify a particular role of ETC function in glutamate neurons [35]. We expected an overall decrease in fly activity with ETC RNAi targeting glutamate neurons, as most motor neurons in flies are glutamatergic. It was surprising, however, that the effect on activity was limited to the dark phase in the LD cycle. Conversely, RNAi of components of Complex I and V drove the flies to sleep more throughout the 24 hr cycle, with longer sleep bouts to account for the increase in total sleep. It is entirely possible that the increase in sleep is a direct consequence of decreased motor activity, but is intriguing to note that the periods with an increase in sleep did not perfectly overlap with the periods of lower activity. Perhaps the changes in activity and sleep are two separate effects associated with changes in ETC activity.

Our results showing a genetic connection between sleep and aging join a significant body of research tying the two. In typical Drosophila aging, sleep becomes more disrupted with age, and younger flies have prolonged sleep bouts and more nighttime sleep [17]. In our experiments, 10 day old flies with activated ETC RNAi slept much longer, similar to young flies carrying a Complex V point mutation [36]. The effect of ETC RNAi on sleep during the aging process is still to be explored as our experiments only used 10 day old flies. Other studies have uncovered neuronal genes involved in both sleep and life span, with the genes affecting sleep and aging in a direct relationship [37]. The fact that glutamate neurons play an important role in sleep is well established, but there are some conflicting studies about whether these neurons promote sleep or wakefulness [20, 38, 39].

Why does RNAi of components of the ETC in glutamate neurons affect sleep and longevity? It is well established, though counterintuitive, that genetic disruption of the ETC by RNAi does not affect overall ATP levels [12, 25]. Certainly, it is worth exploring what long term effect ETC RNAi has on mitochondrial activity in glutamate neurons and how the RNAi affects neuronal activity or age-related loss. One means to address possible changes to glutamate neuron activity is through the use of a heat-activated allele of the dTrpA1 cation channel to over-activate glutamate neurons. Alternatively, the use of a temperature-sensitive shibire allele could inhibit glutamate neuron function and alter life span. Sangston and Hirsh have shown that the TH-GAL4 driver can change fly activity contingent on dTrpA1 expression [40].

It is important to note that our results strongly suggest that the entire electron transport chain is involved in the aging process and sleep rather than just one subunit. RNAi targeting separate components of Complex I and Complex V had quite similar and robust effects. It is therefore unlikely that any one component would have an independent role outside of the ETC. Additionally, it is unlikely that the changes presented in this report are an artifact of RNAi off-targeting. The hairpin DNA sequences used to target CG9172 and CG5389 share no sequence similarity (Vienna Drosophila Resource Center, Vienna, Austria).

The role of the nervous system in regulating life span is certainly complex and each neuronal subtype does not contribute equally. The results presented here show that RNAi targeting the electron transport chain in glutamate neurons is sufficient to prolong life span. RNAi of the same electron transport chain components leads to a sharp increase in daytime and nighttime sleep and a specific decrease in nighttime activity. It is possible that aging and sleep are independent biological phenomena, but this report provides another genetic link between these processes. Given that only a small subset of neurons can influence such biologically important behaviors, understanding the precise role of the electron transport chain is of significant importance.

Supporting information

S1 Fig. RNAi of the electron transport chain in glutamate neurons extends life span in male Drosophila.

Males of the indicated GAL4 driver were mated to a white1118 control (open circles) or UAS-CG9172-RNAi (light blue), or UAS-CG5389-RNAi (dark blue) lines. (A, B) Survival curves of RNAi against CG9172 and CG5389 RNAi in D42-GAL4 glutamate neurons show comparable 11% and 17% (p < 0.0001, log rank test) life span extension. (C, D) In VGlut-GAL4 glutamate neurons, RNAi of CG9172 and CG5389 leads to an extension of 28% and 26%, respectively (p < 0.0001). (E, F) RNAi of CG9172 and CG5389 in ChAT-GAL4 acetylcholine neurons extends life span by 2% and 5%, respectively (p = 0.81, p = 54). (G, H) Activating RNAi against CG9172 and CG5389 to the set of non-overlapping set of glutamate neurons (D42-GAL4; VGlut-GAL80) minimizes life span extension to 2%, respectively (p = 0.91, p = 0.44).

https://doi.org/10.1371/journal.pone.0286828.s001

(TIF)

S2 Fig. Controls for the UAS RNAi lines slightly extend life span in female Drosophila.

Females of the indicated UAS RNAi lines were mated to a white1118 control (closed circles) and the white1118 control line was used for comparison (open circles). (A) Survival curve of outcrossed UAS-CG9172-RNAi compared to the white1118 control shows 6% (p < 0.0001, log rank test) life span extension. (B) Survival curve of outcrossed UAS-CG5389-RNAi compared to the white1118 control shows 7% (p < 0.0001, log rank test) life span extension.

https://doi.org/10.1371/journal.pone.0286828.s002

(TIF)

S3 Fig. Controls for the UAS RNAi lines show similar average activity and sleep in 10 day old males.

Adult male flies of either the D42-GAL4 control line (white) and unactivated RNAi to CG9172 (light blue) or CG5389 (dark blue) lines were tested for their activity and sleep. Data are presented as means +/- SEM and compared using one-way ANOVA with a Tukey’s post-hoc test. (A-C) No significant differences were observed in average activity during a 24 hour period (p = 0.89, p = 0.75), the dark phase (p = 0.57, p = 0.29), or the light phase (p = 0.92, p = 0.87) to unactivated CG9172 and CG5389 flies, respectively, in a 24 hour LD cycle. (D-F) No significant differences were observed in total sleep during a 24 hour period (p = 0.96, p = 0.68), the dark phase (p = 0.99, p = 0.17), or the light phase (p = 0.71, p = 0.99) to unactivated CG9172 and CG5389 flies, respectively, in a 24 hour LD cycle.

https://doi.org/10.1371/journal.pone.0286828.s003

(TIF)

S4 Fig. Controls for the UAS RNAi lines have no significant effect on female fertility and starvation response.

10 day old females with the D42-GAL4 driver (open circles) were compared to females with unactivated RNAi to CG9172 (light blue) or CG5389 (dark blue) lines. (A, B) The unactivated RNAi line to CG9172 (p = 0.55, two way ANOVA) and CG5389 (p = 0.61) does not affect female fertility. (C, D). Starvation in females with unactivated RNAi to the electron transport chain genes had no effect on overall survival (CG9172, no change, p = 0.64; CG5389, p = 0.05).

https://doi.org/10.1371/journal.pone.0286828.s004

(TIF)

S1 Table. Descriptive statistics of male life span in neuron-specific RNAi of the electron transport chain.

https://doi.org/10.1371/journal.pone.0286828.s005

(XLSX)

S2 Table. Descriptive statistics of male motor activity in glutamate neuron (D42) specific RNAi of the electron transport chain.

https://doi.org/10.1371/journal.pone.0286828.s006

(XLSX)

S3 Table. Descriptive statistics of male sleep in glutamate neuron (D42) specific RNAi of the electron transport chain.

https://doi.org/10.1371/journal.pone.0286828.s007

(XLSX)

S4 Table. Raw data for female life spans.

https://doi.org/10.1371/journal.pone.0286828.s008

(XLSX)

S5 Table. Raw data for male life spans.

https://doi.org/10.1371/journal.pone.0286828.s009

(XLSX)

S6 Table. Raw data for male activity.

https://doi.org/10.1371/journal.pone.0286828.s010

(XLSX)

S7 Table. Raw data for male sleep.

https://doi.org/10.1371/journal.pone.0286828.s011

(XLSX)

S8 Table. Raw data for female fertility.

https://doi.org/10.1371/journal.pone.0286828.s012

(XLSX)

S9 Table. Raw data for female starvation.

https://doi.org/10.1371/journal.pone.0286828.s013

(XLSX)

Acknowledgments

The authors would like to thank Eli Wenger and Derek Harnish for their assistance with the life span experiments and Jay Hirsh (University of Virginia) for the use of his Trikinetics activity monitors. Stocks obtained from the Bloomington Drosophila Stock Center (NIH P40OD018537) were used in this study.

References

  1. 1. Jagust W. Vulnerable Neural Systems and the Borderland of Brain Aging and Neurodegeneration. Neuron. 2013 Jan;77(2):219–34. pmid:23352159
  2. 2. Piper MDW, Partridge L. Drosophila as a model for ageing. Biochimica et Biophysica Acta (BBA)—Molecular Basis of Disease. 2018 Sep;1864(9):2707–17.
  3. 3. Wang Y, Hekimi S. Mitochondrial dysfunction and longevity in animals: Untangling the knot. Science. 2015 Dec 4;350(6265):1204–7. pmid:26785479
  4. 4. Sanz A, Soikkeli M, Portero-Otín M, Wilson A, Kemppainen E, McIlroy G, et al. Expression of the yeast NADH dehydrogenase Ndi1 in Drosophila confers increased lifespan independently of dietary restriction. Proc Natl Acad Sci USA. 2010 May 18;107(20):9105–10.
  5. 5. Hur JH, Bahadorani S, Graniel J, Koehler CL, Ulgherait M, Rera M, et al. Increased longevity mediated by yeast NDI1 expression in Drosophila intestinal stem and progenitor cells. Aging. 2013 Sep 6;5(9):662–81. pmid:24038661
  6. 6. Yun J, Finkel T. Mitohormesis. Cell Metabolism. 2014 May;19(5):757–66. pmid:24561260
  7. 7. Lennicke C, Cochemé HM. Redox signalling and ageing: insights from Drosophila. Biochemical Society Transactions. 2020 Apr 29;48(2):367–77.
  8. 8. Scialò F, Sriram A, Fernández-Ayala D, Gubina N, Lõhmus M, Nelson G, et al. Mitochondrial ROS Produced via Reverse Electron Transport Extend Animal Lifespan. Cell Metabolism. 2016 Apr;23(4):725–34. pmid:27076081
  9. 9. Mattson MP, Arumugam TV. Hallmarks of Brain Aging: Adaptive and Pathological Modification by Metabolic States. Cell Metabolism. 2018 Jun;27(6):1176–99. pmid:29874566
  10. 10. Rana A, Oliveira MP, Khamoui AV, Aparicio R, Rera M, Rossiter HB, et al. Promoting Drp1-mediated mitochondrial fission in midlife prolongs healthy lifespan of Drosophila melanogaster. Nat Commun. 2017 Dec;8(1):448. pmid:28878259
  11. 11. Schmid E. Neuronal induction of BNIP3-mediated mitophagy slows systemic aging in Drosophila.: 28. pmid:36213625
  12. 12. Copeland JM, Cho J, Lo T, Hur JH, Bahadorani S, Arabyan T, et al. Extension of Drosophila Life Span by RNAi of the Mitochondrial Respiratory Chain. Current Biology. 2009 Oct;19(19):1591–8. pmid:19747824
  13. 13. Durieux J, Wolff S, Dillin A. The Cell-Non-Autonomous Nature of Electron Transport Chain-Mediated Longevity. Cell. 2011 Jan;144(1):79–91. pmid:21215371
  14. 14. Keppley LJW, Nafziger AJ, Liu YT, Hirsh J, Copeland JM. RNAi targeting of the respiratory chain affects Drosophila life span depending on neuronal subtype. BIOS. 2018 Jun 1;89(2):35.
  15. 15. Dillin A, Hsu AL, Arantes-Oliveira N, Lehrer-Graiwer J, Hsin H, Fraser AG, et al. Rates of Behavior and Aging Specified by Mitochondrial Function During Development. Science. 2002 Dec 20;298(5602):2398–401. pmid:12471266
  16. 16. Rybina OY, Sarantseva SV, Veselkina ER, Bolschakova OI, Symonenko AV, Krementsova AV, et al. Tissue-specific transcription of the neuronal gene Lim3 affects Drosophila melanogaster lifespan and locomotion. Biogerontology. 2017 Oct;18(5):739–57. pmid:28466185
  17. 17. Koh K, Evans JM, Hendricks JC, Sehgal A. A Drosophila model for age-associated changes in sleep:wake cycles. Proc Natl Acad Sci USA. 2006 Sep 12;103(37):13843–7.
  18. 18. Sehgal A, Mignot E. Genetics of Sleep and Sleep Disorders. Cell. 2011 Jul;146(2):194–207. pmid:21784243
  19. 19. Guo F, Yu J, Jung HJ, Abruzzi KC, Luo W, Griffith LC, et al. Circadian neuron feedback controls the Drosophila sleep–activity profile. Nature. 2016 Aug;536(7616):292–7. pmid:27479324
  20. 20. Ly S, Pack AI, Naidoo N. The neurobiological basis of sleep: Insights from Drosophila. Neuroscience & Biobehavioral Reviews. 2018 Apr;87:67–86. pmid:29391183
  21. 21. Ni JD, Gurav AS, Liu W, Ogunmowo TH, Hackbart H, Elsheikh A, et al. Differential regulation of the Drosophila sleep homeostat by circadian and arousal inputs. eLife. 2019 Feb 5;8:e40487. pmid:30719975
  22. 22. Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, Fellner M, et al. A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature. 2007 Jul;448(7150):151–6. pmid:17625558
  23. 23. Cichewicz K, Hirsh J. ShinyR-DAM: a program analyzing Drosophila activity, sleep and circadian rhythms. Commun Biol. 2018 Dec;1(1):25. pmid:29911688
  24. 24. Partridge L, Gems D, Withers DJ. Sex and Death: What Is the Connection? Cell. 2005 Feb;120(4):461–72. pmid:15734679
  25. 25. Xu C, Hwang W, Jeong DE, Ryu Y, Ha CM, Lee SJV, et al. Genetic inhibition of an ATP synthase subunit extends lifespan in C. elegans. Sci Rep. 2018 Dec;8(1):14836. pmid:30287841
  26. 26. Bahadorani S, Cho J, Lo T, Contreras H, Lawal HO, Krantz DE, et al. Neuronal expression of a single-subunit yeast NADH-ubiquinone oxidoreductase (Ndi1) extends Drosophila lifespan. Aging Cell. 2010 Apr;9(2):191–202.
  27. 27. Parkes TL, Elia AJ, Dickinson D, Hilliker AJ, Phillips JP, Boulianne GL. Extension of Drosophila lifespan by overexpression of human SOD1 in motorneurons. Nat Genet. 1998 Jun;19(2):171–4. pmid:9620775
  28. 28. Mahr A, Aberle H. The expression pattern of the Drosophila vesicular glutamate transporter: A marker protein for motoneurons and glutamatergic centers in the brain. Gene Expression Patterns. 2006 Mar;6(3):299–309. pmid:16378756
  29. 29. Rera M, Bahadorani S, Cho J, Koehler CL, Ulgherait M, Hur JH, et al. Modulation of Longevity and Tissue Homeostasis by the Drosophila PGC-1 Homolog. Cell Metabolism. 2011 Nov;14(5):623–34. pmid:22055505
  30. 30. Clark RI, Salazar A, Yamada R, Fitz-Gibbon S, Morselli M, Alcaraz J, et al. Distinct Shifts in Microbiota Composition during Drosophila Aging Impair Intestinal Function and Drive Mortality. Cell Reports. 2015 Sep;12(10):1656–67. pmid:26321641
  31. 31. Schinaman JM, Rana A, Ja WW, Clark RI, Walker DW. Rapamycin modulates tissue aging and lifespan independently of the gut microbiota in Drosophila. Sci Rep. 2019 Dec;9(1):7824. pmid:31127145
  32. 32. Ulgherait M, Rana A, Rera M, Graniel J, Walker DW. AMPK Modulates Tissue and Organismal Aging in a Non-Cell-Autonomous Manner. Cell Reports. 2014 Sep;8(6):1767–80. pmid:25199830
  33. 33. Cognigni P, Bailey AP, Miguel-Aliaga I. Enteric Neurons and Systemic Signals Couple Nutritional and Reproductive Status with Intestinal Homeostasis. Cell Metabolism. 2011 Jan;13(1):92–104. pmid:21195352
  34. 34. Zhang W, Yan Z, Li B, Jan LY, Jan YN. Identification of motor neurons and a mechanosensitive sensory neuron in the defecation circuitry of Drosophila larvae. eLife. 2014 Oct 30;3:e03293. pmid:25358089
  35. 35. Kempf A, Song SM, Talbot CB, Miesenböck G. A potassium channel β-subunit couples mitochondrial electron transport to sleep. Nature. 2019 Apr;568(7751):230–4.
  36. 36. Fogle KJ, Mobini CL, Paseos AS, Palladino MJ. Sleep and circadian defects in a Drosophila model of mitochondrial encephalomyopathy. Neurobiology of Sleep and Circadian Rhythms. 2019 Jan;6:44–52. pmid:30868108
  37. 37. Bushey D, Hughes KA, Tononi G, Cirelli C. RSelseeaerchpa,rtiacleging, and lifespan in Drosophila. 2010;18.
  38. 38. Robinson JE, Paluch J, Dickman DK, Joiner WJ. ADAR-mediated RNA editing suppresses sleep by acting as a brake on glutamatergic synaptic plasticity. Nat Commun. 2016 Apr;7(1):10512. pmid:26813350
  39. 39. Zimmerman JE, Chan MT, Lenz OT, Keenan BT, Maislin G, Pack AI. Glutamate Is a Wake-Active Neurotransmitter in Drosophila melanogaster. Sleep [Internet]. 2017 Feb 1 [cited 2022 May 24];40(2). Available from: https://academic.oup.com/sleep/article/doi/10.1093/sleep/zsw046/2667755 pmid:28364503
  40. 40. Sangston R, Hirsh J. An inexpensive air stream temperature controller and its use to facilitate temperature-controlled behavior in Drosophila. BioTechniques. 2019 Mar;66(3):159–61.