Abstract
Insects inhabiting the temperate zones measure seasonal changes in day or night length to enter the overwintering diapause. Diapause induction occurs after the duration of the night exceeds a critical night length (CNL). Our understanding of the time measurement mechanisms is continuously evolving subsequent to Bünning's proposal that circadian systems play the clock role in photoperiodic time measurement (Bünning, 1936). Initially, the photoperiodic clocks were considered to be either based on circadian oscillators or on simple hour‐glasses, depending on ‘positive’ or ‘negative’ responses in Nanda–Hamner and Bünsow experiments (Nanda & Hammer, 1958; Bünsow, 1960). However, there are also species whose responses can be regarded as neither ‘positive’, nor as ‘negative’, such as the Northern Drosophila species Drosophila ezoana, which is investigated in the present study. In addition, modelling efforts show that the ‘positive’ and ‘negative’ Nanda–Hamner responses can also be provoked by circadian oscillators that are damped to different degrees: animals with highly sustained circadian clocks will respond ‘positive’ and those with heavily damped circadian clocks will respond ‘negative’. In the present study, an experimental assay is proposed that characterizes the photoperiodic oscillators by determining the effects of non‐24‐h light/dark cycles (T‐cycles) on critical night length. It is predicted that there is (i) a change in the critical night length as a function of T‐cycle period in sustained‐oscillator‐based clocks and (ii) a fixed night‐length measurement (i.e. no change in critical night length) in damped‐oscillator‐based clocks. Drosophila ezoana flies show a critical night length of approximately 7 h irrespective of T‐cycle period, suggesting a damped‐oscillator‐based photoperiodic clock. The conclusion is strengthened by activity recordings revealing that the activity rhythm of D. ezoana flies also dampens in constant darkness.
Keywords: Circadian clock, damped‐oscillator‐model of photoperiodic clock, diapause, Drosophila, hour‐glass, Nanda–Hamner, photoperiodism
Introduction
Photoperiodic time measurement is referred to as the ability to measure seasonal variation in day/night length and is an integral feature of the seasonal adaptations in organisms inhabiting temperate zones. Seasonal adaptations include physiological modulations that typically culminate in the regulation of growth and reproduction. Although summer conditions typically induce growth and reproduction, winter conditions arrest the latter. Such responses are respectively known as ‘long’ and ‘short’ day responses (Bradshaw & Holzapfel, 2007; Nelson et al., 2009).
Photoperiodic time measurement has been studied for almost a century; however, the mechanism underlying time measurement (i.e. the clock) remains elusive. In 1936, Erwin Bünning proposed a role for the circadian clock in photoperiodic time measurement. Bünning's model assumes two distinct phases of the circadian cycle, namely the photophil and scotophil phases, whereby the exposure of the scotophil phase to light is dependent on the photoperiod. He proposed that flowering is induced in the common bean Phaseolus vulgaris only when its scotophil phase is not exposed to light (Bünning, 1936). A modified version of this principle of photoperiodic time measurement was later proposed by Pittendrigh & Minis (1964) as the ‘external coincidence model’. Bünning's idea remained neglected for a long time until two experimental protocols, namely the Nanda–Hamner and Bünsow experiments (Nanda & Hamner, 1958; Bünsow, 1960), implicated circadian involvement in photoperiodic time measurement (Vaz Nunes & Saunders, 1999; Saunders, 2010; Saunders & Bertossa, 2011). In Nanda–Hamner experiments, study organisms are subjected to light/dark (LD) cycles of periods typically ranging from 16 to 84 h with a fixed light phase of 8–12 h and variable hours in the remaining dark phase to make up the required period length (Vaz Nunes & Saunders, 1999). Bünsow experiments employ LD cycles of 48 or 72 h period consisting of 12 h of light and of a variably long night. The long night is systematically interrupted, in different experimental subsets, by a 1‐ or 2‐h long scanning light pulse (Vaz Nunes & Saunders, 1999). Some species exhibit rhythmic variation in their short‐day response as a function of (i) the period of LD cycle in Nanda–Hamner experiments and (ii) the time of the scanning light pulse in Bünsow experiments. After the first application of these experimental protocols, a rhythmic response (=positive response) was instantly recognized as evidence for recurring ‘scotophil phases’ as envisioned by Bünning, especially because these short‐day effects peak at LD periodicities of 24, 48 and 72 h in Nanda–Hamner experiments and in light regimes with scanning pulses separated by 24 h in Bünsow experiments. However, in many other species, the short‐day effect reaches its maximum beyond a particular LD periodicity in Nanda–Hamner experiments or a scanning pulse in Bünsow experiments and remains stable thereafter (=negative response). Such responses are typically taken as evidence for a simple non‐oscillatory night length measuring hour‐glass (Vaz Nunes & Saunders, 1999). However, the binary classification of photoperiodic clocks (circadian versus hour‐glass) became obsolete after Lewis & Saunders (1987) proposed the ‘damped circadian oscillator model’. Saunders & Lewis (1987) were able to simulate positive and negative Nanda–Hamner and Bünsow phenotypes by simply adjusting the degree of oscillator dampening in the model, suggesting that the dampening tendency of the oscillator is a primary cause of the positive and negative responses.
Although, in theory, the damped and sustained oscillators closely simulate negative and positive responses, respectively (Saunders & Lewis, 1987), the proposed role of oscillator dampening in positive and negative Nanda–Hamner/Bünsow responses remains to be demonstrated empirically and the damped circadian oscillator model still remains as an open hypothesis. The absence of an empirical proof for the damped circadian oscillator model is primarily attributable to the lack of a means of identifying and/or manipulating the dampening tendency of the photoperiodic oscillator. In the present study, an experimental set‐up is proposed to identify the dampening tendency of the photoperiodic oscillator (damped versus self‐sustained), which may facilitate the experimental validation of the damped circadian oscillator model. The damped circadian oscillator model (Saunders & Lewis, 1987) formally adopts the ‘external coincidence model’ of Pittendrigh & Minis (1964) as the basis of photoperiodic time measurement (Fig. 1). The external coincidence model assumes a circadian rhythm of a photo‐inducible phase (ϕi) (Fig. 1). The coincidence of ϕi with light under long days induces long‐day effects (reproduction), whereas its protection from light under short days leads to short‐day effects (diapause) (Fig. 1). The circadian regulation implies that the phase of ϕi would change with the period (T) of the Zeitgeber cycle. Pittendrigh & Minis (1964) therefore report the application of Zeitgeber cycles of different periods to test the external coincidence model, known as T‐cycle experiments. In the present study, a modification of the T‐cycle experiments is proposed, in which we predict distinct photoperiodic responses of the clock based on heavily damped and self‐sustained oscillators, respectively. The photoperiodic response curve (PPRC) typically describes the relationship between the incidence of short‐day responses and the photoperiod (or night length); here, the night length corresponding to the transition from short‐ to long‐day response is termed the ‘critical night length’. Figure 2 illustrates the conjectured correspondence between the transition of ϕi from dark to light and the critical night length. As noted above, the phase relationship ϕi is a function of T (Pittendrigh & Minis, 1964): ϕi is expected to be delayed in the case of T < 24 h and advanced when T > 24 h (Fig. 2). Consequently, we propose that, if the PPRCs are conducted under T‐cycles, a self‐sustained oscillator‐based photoperiodic clock would result in a predictable change in the critical night length as shown in Fig. 2. On the other hand, if the photoperiodic clock is based on a heavily damped oscillator, the oscillation is completely damped by the end of every cycle and will be restarted by the onset of darkness, causing ϕi to occur at a fixed number of hours afterwards (Pittendrigh, 1966). The critical night length should therefore not change with T in the case of a heavily damped oscillator. In the case of a slightly damped oscillator, critical night length is expected to change slightly with T. The modified T‐experiments may therefore provide a method of distinguishing between self‐sustained, slightly damped and heavily damped oscillator‐based photoperiodic clocks.
In the present study, the photoperiodic response in diapausing species of the virilis group Drosophila species Drosophila ezoana is investigated via the Nanda–Hamner protocol and modified T‐experiments. Furthermore, the dampening properties of the circadian oscillator are validated by recording the locomotor activity rhythms of individual flies under constant conditions. The results are discussed in the context of findings obtained in other insects.
Materials and methods
Fly material
All of the experiments were conducted with the D. ezoana strain 1240 J8 (isofemale line) established from the progeny of flies collected from Oulanka, Finland (66°N, 2°E) in the summer of 2008 (Salminen et al., 2015). The flies have been reared at laboratory room temperature (approximately 20 °C) under constant light (approximately 150 μW cm−2) on standard cornmeal–yeast–agar food. Eggs were collected over 2–3 consecutive days from parent vials containing five females and five males per vial. Freshly emerged adults were collected every day and maintained at a density of approximately 25–30 flies per food vial under rearing conditions. Approximately 4‐day‐old female flies were used to set all the experiments.
Diapause assay
Drosphila ezoana exhibits photoperiodic adult reproductive diapause (Watabe, 1983) characterized by arrest of reproduction after exposure to appropriate environmental cues such as short‐day length (=long nights) and low temperature. Reproductive arrest manifests itself as the interruption of ovarian development, which leads to very small ovary size and suspension of egg development. Ovarian phenotype thus serves as reliable marker of diapause state.
To assay diapause incidence, four vials each containing 12 females and eight males (aged 4 days) were exposed to different LD regimes (Nanda–Hamner protocol or T‐cycles, see below) for 21 days at 17 °C with a food change once per week. At the end of the experiment, the flies were frozen at −20 °C and the females were dissected under a light microscope to examine the ovary phenotype. Females with a small ovary size without developing or mature eggs were counted as diapausing flies, whereas females with large ovaries with developing and mature eggs were marked as reproducing flies (Lankinen, 1986). Diapause incidence in the different LD regimes was expressed as a percentage of diapausing female flies from the four diapause vials.
All diapause assays were conducted in light‐proof cardboard boxes (16 × 26 × 15 cm3) fitted with ‘white’ light‐emitting diodes (for spectrum, see Schlichting et al., 2014). Light intensity inside the boxes was adjusted to approximately 145 μW cm−2 and the boxes were kept in a climate chamber maintained at a constant temperature of 17 °C.
Nanda–Hamner experiments
The diapause incidence was studied in Zeitgeber cycles with periods (T) ranging from 18 to 84 h. Each cycle consisted of fixed 10 h of light and a variable number of hours in darkness to achieve the required T. The experiment was repeated three times and the diapause incidence was plotted as a function of T.
Experimental design of the novel T‐cycle experiments
The diapause incidence was studied in a series of LD cycles with decreasing night lengths to construct the PPRCs, in which the percentage of diapause incidence was plotted as a function of night length (Fig. 2). Such PPRCs were conducted in LD cycles with a period (T) in the range 18–30 h (T18 to T30, respectively). Thus, the LD cycles were simultaneously varied for two aspects, namely night length and period (T).
Typically, diapause incidence is almost 100% under long nights and drops to almost 0% under short nights. The transition from diapause to the reproductive state is rather abrupt (Fig. 2). The night length corresponding to 50% diapause during this transition is taken as the value of critical night length. The critical night length was estimated by nonlinear regression analysis for each of the T‐cycles using the ‘drc’ package in r (Ritz & Streibig, 2005; R Development Core Team, 2008).
Two separate experiments were conducted in which the night length was varied within each T‐cycle, in two different ways. In Experiment 1, six LD cycle schedules were created within each of the T‐cycles, where night length was decreased in steps of 5% of the T‐cycle period between 75% and 50% in T18 and T21, 80–55% in T24, and 85–60% in T27 and T30 (Table 1). The diapause incidence was then plotted as a function of night length, expressed as a percentage of T, and absolute night length (h) to estimate the CNL for all the T‐cycles.
Table 1.
Photoperiod (% of T‐cycle) | Light phase (h) | Dark phase (h) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
T18 | T21 | T24 | T27 | T30 | T18 | T21 | T24 | T27 | T30 | |
85 | 22.95 | 25.5 | 4.05 | 4.5 | ||||||
80 | 19.2 | 21.6 | 24.0 | 4.8 | 5.4 | 6.0 | ||||
75 | 13.5 | 15.75 | 18.0 | 20.25 | 22.5 | 4.5 | 5.25 | 6.0 | 6.75 | 7.5 |
70 | 12.6 | 14.7 | 16.8 | 18.9 | 21.0 | 5.4 | 6.3 | 7.2 | 8.1 | 9.0 |
65 | 11.7 | 13.65 | 15.6 | 17.55 | 19.5 | 6.3 | 7.35 | 8.4 | 9.45 | 10.5 |
60 | 10.8 | 12.6 | 14.4 | 16.2 | 18.0 | 7.2 | 8.4 | 9.6 | 10.8 | 12.0 |
55 | 9.9 | 11.55 | 13.2 | 8.1 | 9.45 | 10.8 | ||||
50 | 9.0 | 10.5 | 9.0 | 10.5 |
In Experiment 2, the night length was varied from 5 to 10 h within each T‐cycle (Table 2). Diapause incidence was plotted against absolute night length and CNL was estimated for all the T‐cycles. The experiment was repeated three times to test whether the mean CNL differed across T‐cycles using two‐way analysis of variance (anova) in r (R Development Core Team, 2008).
Table 2.
Light regime | T18 | T24 | T30 | |||
---|---|---|---|---|---|---|
Light phase | Dark phase | Light phase | Dark phase | Light phase | Dark phase | |
LD1 | 13 | 5 | 19 | 5 | 25 | 5 |
LD2 | 12 | 6 | 18 | 6 | 24 | 6 |
LD3 | 11 | 7 | 17 | 7 | 23 | 7 |
LD4 | 10 | 8 | 16 | 8 | 22 | 8 |
LD5 | 9 | 9 | 15 | 9 | 21 | 9 |
LD6 | 8 | 10 | 14 | 10 | 20 | 10 |
Locomotor activity recordings
For activity recording, unmated female flies were collected on the first day after emergence by separating females from male flies under gaseous CO2 anaesthesia. Individual female flies were transferred into glass tubes (length 5 cm, diameter 7 mm) containing sugar‐agar medium (4% sucrose, 2% agar in water). They were kept for few days in constant light (LL) (150 μW cm−2) and then recorded in the Drosophila activity monitoring system (Trikinetics Inc., Waltham, Massachusetts) in constant darkness (DD).
Analysis of activity data
To reveal the activity pattern of the flies, activity data were plotted as individual and average actograms using the imagej plug‐in actogramj (Schmid et al., 2011). To check for rhythmicity in the circadian range (16–30 h), the activity data of each individual fly was subjected to chi‐squared periodogram analysis. Periodogram analysis was carried out using continuous 10 days of data with a step size (data collection bin size) of 10 min. Furthermore, the number of days that each fly was rhythmic after the transfer from LL to DD was judged by eye for each single actogram.
Results
The Nanda–Hamner response of D. ezoana flies is neither positive, nor negative
All three trials of the Nanda–Hamner experiment with D. ezoana showed a similar pattern of a gradual reduction in diapause incidence with an increasing period (T) of LD cycle (Fig. 3). Diapause incidence remained close to its maximum (approximately 90–100%) between a T of 18 and 36 h. From a T of 42 h and longer, a clear almost linear reduction in diapause incidence occurred. The Nanda–Hamner response in D. ezoana is therefore neither typically positive, nor typically negative.
The critical night length for diapause induction in D. ezoana is independent of T: the flies appear to measure night length and to use a strongly damped oscillator to do this
To judge the putative involvement of a damped oscillator in the photoperiodic time measurement of D. ezoana, some newly designed T‐cycle experiments were applied. Night length was manipulated in two different ways: (i) as percentage of T and (ii) in absolute hours.
Experiment 1
In the first experiment, five different Ts were applied (T18, T21, T24, T27 and T30) and night length was varied as percentage of T (Table 1). The measured PPRCs showed the expected shape with a sharp reduction of diapause incidence when night length decreased below a certain percentage of T‐cycle period (Fig. 4). Most importantly, transition from diapause to reproduction appeared to differ among T‐cycles: the absolute day length (Fig. 4A) and the relative night length (Fig. 4B) corresponding to the transition (i.e. critical night length) decreased with T, as predicted from the external coincidence model under the assumption that ϕi is located near dawn under T < 24 h (Fig. 2). However, this trend does not readily imply the validity of the model because a qualitatively similar trend is also possible if the flies' measure a fixed night length. For example, a fly strain that needs a minimal night length of 6 h to enter diapause will have the critical night length at 33.3% of T in T18 and at 20% of T in T30. Therefore, the same diapause incidence data was plotted as a function of absolute night length (h) (Table 1). When doing so, the PPRCs under all five Ts almost completely coincided with each other (Fig. 4C). This suggests that the transition from diapause to reproduction occurs at the same night length of approximately 6–7 h irrespective of the T‐cycle period. These results thus indicate that D. ezoana flies measure night length for inducing diapause and use an hour‐glass clock or a strongly damped oscillator for photoperiodic time measurement, even though their Nanda–Hamner response was not typically ‘negative’.
Experiment 2
A second experiment was performed to ensure that the flies indeed measure absolute night length, irrespective of T‐cycle period. Absolute night length was varied between 5 and 10 h under three different T‐cycle periods: T18, T24 and T30 (Table 2). This experiment was repeated three times (Fig. 5). The PPRCs of all three repetitions appeared to be very similar, with the plots of diapause incidence being different when plotted against day length (Fig. 5A–D) but completely coinciding when plotted against night length (Fig. 5E–H). The calculated mean critical night lengths under T18, T24 and T30 were 06.69, 07.02 and 07.03 h, respectively (Fig. 5I). The small trend of an increasing critical night length with increasing T turned out not to be significant (two‐way anova with ‘experiment’ as random factor: F 2,4 = 3.38, P = 0.13). This experiment confirms that D. ezoana flies measure night length with an hour‐glass clock or a strongly damped oscillator. There is no evidence for the involvement of a sustained or weakly dampened circadian clock in the photoperiodic time measurement of this fly species.
Female D. ezoana flies are only weakly rhythmic in DD
Circadian activity rhythms are commonly used as easily measureable ‘hands’ (outputs) of the circadian clock in the brain. Male and female fruit flies of the species D. melanogaster exhibit robust circadian activity rhythms when transferred from LD or from LL to DD conditions (Helfrich‐Förster, 2000, 2001). To determine whether this is also true for D. ezoana flies, 64 female flies were recorded for 14 days in DD after they had been transferred from LL.
It was found that D. ezoana flies were barely rhythmic under DD conditions (Fig. 6). On average, the flies showed weak rhythms for the first 2.5 ± 0.2 days (mean ± SD) after transfer to DD and subsequently became arrhythmic; only very few animals (Fig. 6) maintained some rhythmicity for up to 5 days. The initial rhythmicity of the flies can be seen in the average actogram calculated out of all 64 recorded flies (Fig. 6). The average actogram also shows that, on average, the end of the activity phase on the first day in DD coincides with the previous lights off. The same was observed in D. melanogaster flies after transfer from LL to DD (Helfrich‐Förster, 2001). Chi‐squared periodogram analysis of individual flies over the entire period in DD never revealed robust circadian periodicity in the data but, instead, highlighted multiple narrow spikes barely crossing the significance level. Such narrow spikes have also previously been observed in chi‐squared periodograms of D. melanogaster clock mutants and judged as false positives (Helfrich‐Förster, 1998; Klarsfeld et al., 2003). It is concluded that D. ezoana flies possess a strongly damped circadian clock that controls their activity rhythms.
Discussion
The Nanda–Hamner experiments yield neither a typically positive, nor a typically negative response in D. ezoana (Fig. 3). Therefore, newly developed T‐cycle experiments are used to test the involvement of a sustained or damped circadian clock in photoperiodic time measurement. The T‐cycle study shows that the photoperiodic clock of the northern fruit fly species D. ezoana measures an absolute night length of approximately 7 h to induce diapause, irrespective of the photoperiod and the period of T‐cycles (Fig. 5). The absolute night‐length measurement strongly suggests that the time measurement in D. ezoana is achieved by a simple hour‐glass clock. However, such apparently hour‐glass based night‐length measurement may also be achieved by a weak and highly Zeitgeber responsive oscillator based clock through an ‘external coincidence’ principle as proposed by Pittendrigh (1966). The circadian oscillators of such clocks are considered to be completely (or mostly) damped by the end of the naturally occurring photoperiods and to be reset to the same phase at the onset of the night, causing ϕi to occur fixed hours afterwards. The night length is thus measured by sensing whether or not the ϕi is exposed to light. The absolute night length measurement in T‐cycle experiments thus suggests that a weak circadian oscillator may underlie the photoperiodic clock in D. ezoana. The present T‐cycle experiments appear to decipher the type of clock involved in photoperiodic time measurement, even in cases in which the classical Nanda–Hamner or Bünsow experiments lead to ambiguous results. Interestingly, D. ezoana flies appear to also utilize a strongly damped circadian clock for controlling locomotor activity rhythms. This suggests that the same weak circadian clock may be involved in photoperiodic time measurement and behavioural rhythm control. These observations in D. ezoana lead to three questions: (i) is the clock that measures night length identical to the clock that controls activity rhythms in all species showing diapause; (ii) is a weak, highly damped circadian clock better suited for photoperiodic time measurement than a sustained robust circadian clock; and (iii) what are the limitations of the newly developed T‐cycle experiments?
Is the clock that measures night length identical to the clock that controls activity rhythms in all species showing diapause?
Circadian activity rhythms are a useful phase marker of the photoperiodic oscillator in many diapausing insects and their activity rhythms are therefore regarded as ‘hands of the photoperiodic clock’ (Kenny & Saunders, 1991), suggesting that the same clock controls activity rhythms and measures night length.
The results of the present study meet this expectation: D. ezoana flies appear to use a strongly damped oscillator for measuring night length and for controlling circadian activity rhythms. Nevertheless, there are superficial differences between the two clocks: the photoperiodic clock appears to damp within one cycle in DD, whereas the activity rhythm of D. ezoana flies free‐runs for a few cycles in DD. The reason for this difference may be a result of the different methods used in the diapause and activity rhythm assessment. The diapause assays measure the response of a population of flies, whereas locomotor activity recordings monitor the behaviour of single flies. Oscillator dampening is slightly different in individual flies. Some flies remain rhythmic for at least 5 days in DD, although the majority become arrhythmic after 2 days. As shown in Fig. 6(F), the average activity rhythm of the entire fly population, although still visible, is less clear than the rhythms of individual flies. Thus, the rhythmicity of a few flies disappears to some degree in the population. This may also explain the neither positive, nor negative Nanda–Hamner results. The clocks of the flies that remain rhythmic for a few days will respond approximately every 24 h to the light with diapause induction. However, the majority of the flies will barely respond. Because the measured diapause response is a mixture of the responses of the individual flies, results may be obtained that are neither positive, nor negative. The T‐cycle experiments are very different because they assess diapause induction not under free‐running conditions, as do the Nanda–Hamner experiments but under entrained conditions. As noted above, a highly damped oscillator or an hour‐glass clock will be reset every day at the onset of the night. Even weak circadian oscillators are highly responsive to LD cycles (Vitaterna et al., 2006; van der Leest et al., 2009). This may explain why even weak circadian clocks are reset by the light every day and thus measure night length. In summary, the present results are consistent with the hypothesis that the same clock governs diapause and rhythmic activity in D. ezoana.
Does this also hold true for species that exhibit ‘positive’ Nanda–Hamner responses and are thus expected to possess strong self‐sustained oscillator‐based photoperiodic clocks (Saunders & Lewis, 1987)? Diapausing insect species, such as the parasitic wasp Nasonia vitripenis, the flesh fly Sarcophaga argyrostoma and the spider mite Tetranychus urticae, are known to exhibit robust positive Nanda–Hamner responses (Saunders, 1973, 1974; Vaz Nunes & Veerman, 1986). Nasonia vitripennis additionally displays robust circadian activity rhythms (Bertossa et al., 2013), highlighting the assumption that the same robust circadian oscillator may control activity and measure photoperiod. If true, these insects should also show a prominent change in critical night length under the newly designed T‐cycle experiments described in the present study. To test this, the diapause incidence data are extracted from the published studies involving these species (Saunders, 1973, 1974; Vaz Nunes & Veerman, 1986) and re‐plotted as a function of day length (Fig. 7A, C, E) and night length (Figure 7B, D, F) for each T‐cycle separately, as carried out for D. ezoana in Fig. 4. In all three species, the diapause to nondiapause transition occurs at different day lengths under different T‐cycles (Figure 7A, C, E) but only in S. argyrostoma does it also occur at different night lengths (Fig. 7D). In N. vitripennis, the transition shows a tendency to occur at the same night length, irrespective of the T‐cycle period (Fig. 7B) and, in T. urticae, the curves at the four T‐cycles largely overlap (Fig. 7F). This suggests that at least T. urticae and perhaps also N. vitripennis may use a strongly damped circadian oscillator to measure night length despite the positive Nanda–Hamner responses. If true, this also implies that this oscillator does not coincide with the one controlling activity rhythms. It is nevertheless too early to draw any definitive conclusions because the extraction of the diapause incidence data from the published studies may still be imprecise. New studies with the three species in the newly designed T‐cycle experiments may help to solve the issue.
At present, it is not clear whether a positive Nanda–Hamner response is a proof for the involvement of a sustained circadian oscillator in photoperiodic time measurement or whether it is exclusively the result of a noncausal circadian influence on the diapause physiology, as suggested by Pittendrigh & Minis (1964) and Pittendrigh (1972). The T‐cycle experiments will help to answer this important question. Combined with activity rhythm recordings, these experiments will also help to clarify whether the clock controlling the behavioural rhythms is identical to the clock measuring night length for diapause induction.
There is a remarkable debate in the literature about this issue. Saunders et al. (1989) show that D. melanogaster flies remain capable of measuring day length in the absence of the canonical circadian clock gene period that is essential for normal activity rhythms, which suggests that the circadian clock is not involved in measuring day length. However, more recent studies indicate that the circadian clock gene timeless determines general diapause incidence (Tauber et al., 2007). The timeless gene is also shown to be involved in the photoperiodic response of the fly Chymomyza costata (Pavelka et al., 2003) and the period gene in the cricket Modicogryllus siamensis (Sakamoto et al., 2009). Furthermore, the clock genes period, cycle, mammalian type cryptochrome and clock are important for diapause in the bean bug Riptortus pedestris (Ikeno et al., 2010, 2011, 2013). Perhaps the most compelling evidence that not only the circadian clock genes, but also the circadian clock neurones driving activity rhythms are essential for photoperiodism comes from ablation experiments in the blow fly Protophormia terraenovae (Shiga & Numata, 2009). Protophormia terraenovae shows robust circadian rhythms and even the anatomical connections from certain circadian clock neurones to the diapause inducing neurosecretory cells in the brain are reported (Shiga & Numata, 2000; Hamanaka et al., 2005). So far, there are more studies in favour of the involvement of the same robust oscillator in circadian activity control and night length measurement than there are against it. The pitcher‐plant mosquito Wyeomyia smithii is perhaps the best example arguing against a role of the same oscillator in both processes. During the summer, the larvae of W. smithii live as top‐level predators in the water that is contained by the purple pitcher plant Sarracenia purpurea. In response to short‐day conditions, the third‐ or fourth‐instar W. smithii larvae enter diapause (Bradshaw & Lounibos, 1972). Formal, classical experiments show that a weak dampening oscillator participates in photoperiodic induction of diapause in W. smithii (Wegis et al., 1997; Bradshaw et al., 1998) and also that the influence of this oscillator decreases in populations living at high latitudes (Bradshaw & Holzapfel, 2001). Bradshaw & Holzapfel (2001) assume that the circadian clock of W. smithii is robust and argue that it would appear to be maladaptive to couple the robust circadian clock to the highly variable and rapidly evolving photoperiodic calendar. Instead, they propose that photoperiodic timing is a process separate from the circadian clock and capable of independent evolution without disrupting the temporal organization of daily events (Emerson et al., 2009). This hypothesis receives support from findings obtained in Drosophila littoralis flies, which show no apparent relationship between critical photoperiod and circadian gating of adult emergence over a latitudinal cline (Lankinen, 1986) and in which laboratory selection results in independent counter‐current ‘evolutions’ of critical photoperiod and circadian controlled adult emergence (Lankinen & Forsman, 2006). However, does the circadian clock necessarily determine the critical photoperiod or the critical night length? Perhaps the circadian clock only provides the necessary time reference to determine day or night length and it is environmental factors such as temperature that set the final critical photoperiod. Furthermore, is it true that all species with robust photoperiodic diapause also have robust circadian clocks? The circadian activity of W. smithii and T. urticae has not yet been investigated and several northern fly species with strong photoperiodism, such as D. ezoana (present study), D. littoralis (Riihimaa, 1996; Lankinen & Forsman, 2006) and Drosophila montana (Kauranen et al., 2012, 2016), have extremely weak circadian rhythms. Thus, the assumption that all species with robust diapause have robust circadian clocks may still be wrong, leaving the possibility open that the same weak circadian clock is involved in both processes.
Is a weak, highly damped circadian clock better suited for photoperiodic time measurement than a sustained robust circadian clock?
As noted above, several fly species living at high latitudes show weak circadian rhythms. Such observations are also reported for non‐insect species. Reindeers recorded under long arctic summer days lack robust activity rhythms and other physiological circadian rhythms that are clearly oscillating in hamsters and other mammal with robust clocks (Van Oort et al., 2005; Lu et al., 2010), suggesting that weak circadian clocks are common in animals living in the north. Possibly, weak circadian clocks, or even hour‐glass clocks are of advantage in the north. Weak circadian clocks are more plastic (flexible), can more easily synchronize to different LD cycles, and phase‐shift to light‐pulses more readily compared with strong circadian clocks (Vitaterna et al., 2006; van der Leest et al., 2009; Abraham et al., 2010). In the north, the photoperiod lengthens dramatically from spring to summer and radically shortens again in autumn. A weak circadian clock or an hour‐glass clock is assumed to easily synchronize to these changing photoperiods, whereas a strong circadian clock might have difficulties. At the same time, weak circadian or hour‐glass clocks are satisfactorily ticking under LD cycles and can serve as time reference for photoperiodism. Thus, they appear better suited to measure night length in the changing environment in the north.
In different northern Drosophila species with weak circadian rhythms, the clock in the brain controlling these rhythms exhibits clear morphological differences compared with the brain clock of the robustly rhythmic D. melanogaster flies (Hermann et al., 2013; Kauranen et al., 2013). The brain clocks of Drosophila virilis, D. ezoana, D. montana and D. littoralis lack the neuropeptide pigment‐dispersing factor, PDF, in one set of lateral clock neurones. PDF is known to be essential for robust circadian activity rhythms of D. melanogaster in DD (Helfrich‐Förster, 1998; Renn et al., 1999). Furthermore, the PDF‐expressing clock neurones control the morning activity of the flies, whereas other clock neurones control evening activity. Thus, D. melanogaster flies (and also S. argyrostoma and P. terraenovae flies) appear to possess two oscillators, whereas the aforementioned northern Drosophila species retain only one oscillator that appears not to be sufficiently strong to provoke robust circadian rhythms. This one weak oscillator (hour‐glass) may, however, be perfectly suited for measuring night length via the external coincidence model.
Limitations of the T‐cycle experiments
There is also another way of measuring time known as the internal coincidence model (Saunders, 1974, 1978). The internal coincidence model relies on the presence of two circadian oscillators, namely the M and E oscillators (Pittendrigh & Daan, 1976). The M and E oscillators track dawn and dusk, respectively, in several insect species. Consequently, they have different phase relationships to each other under short winter days and long summer days. Under short winter days, their phases are close together and, under long summer days, their phases are far apart. These internal phase differences can be used perfectly to determine night length or day length. Thus, measuring night length with the help of two robust oscillators is another way of reliably inducing diapause when the days become shorter. Actually, N. vitripennis, which shows positive Nanda–Hamner responses, appears to use the internal coincidence model for measuring night length (Saunders, 1974). The newly developed T‐cycle experiments that are described in the present study will also change the phases of the two oscillators: the phases of both will occur later under short Ts and earlier under long Ts. However, as long as the phases of both oscillators are similarly shifted, the mutual phase relationship between M and E oscillator remains the same and, consequently, the critical night will not be influenced by T. This means that the T‐cycle experiments cannot reliably distinguish between robust oscillators in the internal coincidence model and damped oscillators in the external coincidence model.
Nevertheless, together with recordings of the activity rhythms, it should be possible to distinguish between these two possibilities. Therefore, it is considered that the proposed T‐cycle experiments will be very useful for clarifying whether damped or robust self‐sustained oscillators measure night length and control diapause. Furthermore, the T‐cycle experiments are suited to resolving questions about separate or identical clocks controlling diapause and circadian activity rhythms.
Acknowledgements
We thank Anneli Hoikkala for providing the D. ezona strain and for providing precious information about photoperiodic diapause in this species. We also thank the members of our group for fruitful discussions and Marta Beauchamp for editing the manuscript submitted for publication. This work was supported by the Marie Curie ITN ‘INsecTIME’ and the Collaborative Research Center SFB1047 ‘Insect timing’. We thank two anonymous reviewers for their insightful and valuable comments.
References
- Abraham, U. , Granada, A.E. , Westermark, P.O. et al (2010) Coupling governs entrainment range of circadian clocks. Molecular Systems Biology, 6, 438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bertossa, R.C. , van Dijk, J. , Diao, W. et al (2013) Circadian rhythms differ between sexes and closely related species of Nasonia wasps. PLoS ONE, 8, e60167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bradshaw, W.E. & Holzapfel, C.M. (2001) Genetic shift in photoperiodic response correlated with global warming. Proceedings of the National Academy of Sciences of the United States of America, 98, 14509–14511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bradshaw, W.E. & Holzapfel, C.M. (2007) Evolution of animal photoperiodism. Annual Review of Ecology, Evolution, and Systematics, 38, 1–25. [Google Scholar]
- Bradshaw, W.E. & Lounibos, L.P. (1972) Photoperiodic control of development in the pitcher‐plant mosquito, Wyeomyia smithii . Canadian Journal of Zoology, 50, 713–719. [Google Scholar]
- Bradshaw, W.E ., Holzapfel, C.M. & Davison, T.E. (1998) Hourglass and rhythmic components of photoperiodic time measurement in the pitcher plant mosquito, Wyeomyia smithii . Oecologia, 117, 486–495. [DOI] [PubMed] [Google Scholar]
- Bünning, E. (1936) Die endonome Tagesrhythmik als Grundlage der photoperiodischen Reaktion. Berichte der Deutschen Botanischen Gesellschaft, 54, 590–607. [Google Scholar]
- Bünsow, R.C. (1960) The circadian rhythm of photoperiodic responsiveness in Kalanchoe . Cold Spring Harbor Symposia on Quantitative Biology, 25, 257–260. [Google Scholar]
- Emerson, K.J. , Dake, S.J. , Bradshaw, W.E. & Holzapfel, C.M. (2009) Evolution of photoperiodic time measurement is independent of the circadian clock in the pitcher‐plant mosquito, Wyeomyia smithii . Journal of Comparative Physiology A, 195, 385–391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hamanaka, Y. , Yasuyama, K. , Numata, H. & Shiga, S. (2005) Synaptic connections between pigment‐dispersing factor‐immunoreactive neurons and neurons in the pars lateralis of the blow fly Protophormia terraenovae . Journal of Comparative Neurology, 491, 390–399. [DOI] [PubMed] [Google Scholar]
- Helfrich‐Förster, C. (1998) Robust circadian rhythmicity of Drosophila melanogaster requires the presence of Lateral Neurons: a brain‐behavioral study of disconnected mutants. Journal of Comparative Physiology A, 182, 435–453. [DOI] [PubMed] [Google Scholar]
- Helfrich‐Förster, C. (2000) Differential control of morning and evening components in the activity rhythm of Drosophila melanogaster – sex specific differences suggest a different quality of activity. Journal of Biological Rhythms, 15, 135–154. [DOI] [PubMed] [Google Scholar]
- Helfrich‐Förster, C. (2001) The activity rhythm of Drosophila melanogaster is controlled by a dual oscillator system. Journal of Insect Physiology, 47, 877–887. [Google Scholar]
- Hermann, C. , Saccon, R. , Senthilan, P.R. et al (2013) The circadian clock network in the brain of different Drosophila species. Journal of Comparative Neurology, 521, 367–388. [DOI] [PubMed] [Google Scholar]
- Ikeno, T. , Tanaka, S.I. , Numata, H. & Goto, S.G. (2010) Photoperiodic diapause under the control of circadian clock genes in an insect. BMC Biology, 8, 116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ikeno, T. , Numata, H. & Goto, S.G. (2011) Photoperiodic response requires mammalian‐type cryptochrome in the bean bug Riptortus pedestris . Biochemical and Biophysical Research Communications, 410, 394–397. [DOI] [PubMed] [Google Scholar]
- Ikeno, T. , Ishikawa, K. , Numata, H. & Goto, S.G. (2013) Circadian clock gene Clock is involved in the photoperiodic response of the bean bug Riptortus pedestris . Physiological Entomology, 38, 157–162. [Google Scholar]
- Kauranen, H. , Menegazzi, P. , Costa, R. et al (2012) Flies in the north: locomotor behavior and clock neuron organization of Drosophila montana . Journal of Biological Rhythms, 27, 377–387. [DOI] [PubMed] [Google Scholar]
- Kauranen, H. , Tyukmaeva, V. & Hoikkala, A. (2013) Involvement of circadian oscillation(s) in the photoperiodic time measurement and the induction of reproductive diapause in a northern Drosophila species. Journal of Insect Physiology, 59, 662–666. [DOI] [PubMed] [Google Scholar]
- Kauranen, H. , Ala‐Honkola, O. , Kankare, M. & Hoikkala, A. (2016) Circadian clock of Drosophila montana is adapted to high variation in summer day lengths and temperatures prevailing at high latitudes. Journal of Insect Physiology, 89, 9–18. [DOI] [PubMed] [Google Scholar]
- Kenny, N.A. & Saunders, D.S. (1991) Adult locomotor rhythmicity as ‘hands’ of the maternal photoperiodic clock regulating larval diapause in the blowfly, Calliphora vicina . Journal of Biological Rhythms, 6, 217–233. [DOI] [PubMed] [Google Scholar]
- Klarsfeld, A. , Leloup, J.C. & Rouyer, F. (2003) Circadian rhythms of locomotor activity in Drosophila . Behavioral Processes, 64, 161–175. [DOI] [PubMed] [Google Scholar]
- Lankinen, P. (1986) Geographical variation in circadian eclosion rhythm and photoperiodic adult diapause in Drosophila littoralis . Journal of Comparative Physiology A, 159, 123–142. [Google Scholar]
- Lankinen, P. & Forsman, P. (2006) Independence of genetic geographical variation between photoperiodic diapause, circadian eclosion rhythm, and Thr‐Gly repeat region of the period gene in Drosophila littoralis. Journal of Biological Rhythms, 21, 3–12. [DOI] [PubMed] [Google Scholar]
- van der Leest, H.T. , Rohling, J.H. , Michel, S. & Meijer, J.H. (2009) Phase shifting capacity of the circadian pacemaker determined by the SCN neuronal network organization. PLoS ONE, 4, e4976. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lewis, R.D. & Saunders, D.S. (1987) A damped circadian oscillator model of an insect photoperiodic clock. I. Description of the model based on a feedback control system. Journal of Theoretical Biology, 128, 47–59. [Google Scholar]
- Lu, W. , Meng, Q.J. , Tyler, N.J. et al (2010) A circadian clock is not required in an arctic mammal. Current Biology, 20, 533–537. [DOI] [PubMed] [Google Scholar]
- Nanda, K.K. & Hamner, K.C. (1958) Studies on the nature of the endogenous rhythm affecting photoperiodic response of Biloxi soybean . Botanical Gazette, 120, 14–25. [Google Scholar]
- Nelson, R.J. , Denlinger, D.L. & Somers, D.E. (2009) Photoperiodism: The Biological Calendar. Oxford University Press, U.K. [Google Scholar]
- Pavelka, J. , Shimada, K. & Kostal, V. (2003) Timeless: a link between fly's circadian and photoperiodic clocks? European Journal of Entomology, 100, 255–265. [Google Scholar]
- Pittendrigh, C.S. (1966) The circadian oscillation in Drosophila pseudoobscura pupae: a model for the photoperiodic clock. Zeitschrift für Pflanzenphysiologie, 54, 275–307. [Google Scholar]
- Pittendrigh, C.S. (1972) Circadian surfaces and the diversity of possible roles of circadian organization in photoperiodic induction. Proceedings of the National Academy of Sciences of the United States of America, 69, 2734–2737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pittendrigh, C.S. & Daan, S. (1976) A functional analysis of circadian pacemakers in nocturnal rodents. Journal of Comparative Physiology, 106, 333–355. [Google Scholar]
- Pittendrigh, C.S. & Minis, D.H. (1964) The entrainment of circadian oscillations by light and their role as photoperiodic clocks. American Naturalist, 98, 261–294. [Google Scholar]
- R Development Core Team (2008) R: A Language and Environment for Statistical Computing. The R Project for Statistical Computing, Austria. [Google Scholar]
- Renn, S.C. , Park, J.H. , Rosbash, M. et al (1999) A pdf neuropeptide gene mutation and ablation of PDF neurons each cause severe abnormalities of behavioral circadian rhythms in Drosophila . Cell, 99, 791–802. [DOI] [PubMed] [Google Scholar]
- Riihimaa, A. (1996) Genetic variation in diapause, cold hardiness and circadian eclosion rhythm in Chymomyza costata . Acta Universitatis Ouluensis A, 274, 1–60. [Google Scholar]
- Ritz, C. & Streibig, J.C. (2005) Bioassay analysis using R. Journal of Statistical Software, 12, 1–22. [Google Scholar]
- Sakamoto, T. , Uryu, O. & Tomioka, K. (2009) The clock gene period plays an essential role in photoperiodic control of nymphal development in the cricket Modicogryllus siamensis . Journal of Biological Rhythms, 24, 379–390. [DOI] [PubMed] [Google Scholar]
- Salminen, T.S. , Vesala, L. , Laiho, A. et al (2015) Seasonal gene expression kinetics between diapause phases in Drosophila virilis group species and overwintering differences between diapausing and non‐diapausing females. Scientific Reports, 5, 11197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Saunders, D.S. (1973) The photoperiodic clock in the flesh‐fly, Sarcophaga argyrostoma . Journal of Insect Physiology, 19, 1941–1954. [DOI] [PubMed] [Google Scholar]
- Saunders, D.S. (1974) Evidence for ‘dawn’ and ‘dusk’ oscillators in the Nasonia photoperiodic clock. Journal of Insect Physiology, 20, 77–88. [Google Scholar]
- Saunders, D.S. (1978) Internal and external coincidence and the apparent diversity of photoperiodic clocks in the insects. Journal of Insect Physiology, 127, 197–207. [Google Scholar]
- Saunders, D.S. (2010) Controversial aspects of photoperiodism in insects and mites. Journal of Insect Physiology, 56, 1491–1502. [DOI] [PubMed] [Google Scholar]
- Saunders, D.S. & Bertossa, R.C. (2011) Deciphering time measurement: the role of circadian ‘clock’ genes and formal experimentation in insect photoperiodism. Journal of Insect Physiology, 57, 557–566. [DOI] [PubMed] [Google Scholar]
- Saunders, D.S. & Lewis, R.D. (1987) A damped circadian oscillator model of an insect photoperiodic clock. III. Circadian and ‘hourglass’ responses. Journal of Theoretical Biology, 128, 73–85. [Google Scholar]
- Saunders, D.S. , Henrich, V.C. & Gilbert, L.I. (1989) Induction of diapause in Drosophila melanogaster: photoperiodic regulation and the impact of arrhythmic clock mutations on time measurement. Proceedings of the National Academy of Sciences of the United States of America, 86, 3748–3752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schlichting, M. , Grebler, R. , Peschel, N. et al (2014) Moonlight detection by Drosophila's endogenous clock depends on multiple photopigments in the compound eyes. Journal of Biological Rhythms, 29, 75–86. [DOI] [PubMed] [Google Scholar]
- Schmid, B. , Helfrich‐Förster, C. & Yoshii, T. (2011) A new ImageJ plug‐in ‘ActogramJ’ for chronobiological analyses. Journal of Biological Rhythms, 26, 464–467. [DOI] [PubMed] [Google Scholar]
- Shiga, S. & Numata, H. (2000) The roles of neurosecretory neurons in the pars intercerebralis and pars lateralis in reproductive diapause of the blow fly, Protophormia terraenovae . Naturwissenschaften, 87, 125–128. [DOI] [PubMed] [Google Scholar]
- Shiga, S. & Numata, H. (2009) Roles of PERIOD immunoreactive neurons in circadian rhythms and photoperiodism in the blow fly, Protophormia terraenovae . Journal of Experimental Biology, 212, 867–877. [DOI] [PubMed] [Google Scholar]
- Tauber, E. , Zordan, M. , Sandrelli, F. et al (2007) Natural selection favors a newly derived timeless allele in Drosophila melanogaster . Science, 316, 1895–1898. [DOI] [PubMed] [Google Scholar]
- Van Oort, B.E. , Tyler, N.J. , Gerkema, M.P. et al (2005) Circadian organization in reindeer. Nature, 438, 1095–1096. [DOI] [PubMed] [Google Scholar]
- Vaz Nunes, M. & Saunders, D.S. (1999) Photoperiodic time measurement in insects: a review of clock models. Journal of Biological Rhythms, 14, 84–104. [DOI] [PubMed] [Google Scholar]
- Vaz Nunes, M. & Veerman, A. (1986) A ‘dusk’ oscillator affects photoperiodic induction of diapause in the spider mite, Tetranychus urticae . Journal of Insect Physiology, 32, 1029–1034. [Google Scholar]
- Vitaterna, M.H. , Ko, C.H. , Chang, A.M. et al (2006) The mouse clock mutation reduces circadian pacemaker amplitude and enhances efficacy of resetting stimuli and phase‐response curve amplitude. Proceedings of the National Academy of Sciences of the United States of America, 103, 9327–9332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watabe, H. (1983) Photoperiodic responses in the Drosophila virilis species group (Diptera, Drosophilidae) from Japan. Kontyu, 51, 628–634. [Google Scholar]
- Wegis, M.C. , Bradshaw, W.E. , Davison, T.E. & Holzapfel, C.M. (1997) Rhythmic components of photoperiodic time measurement in the pitcher‐plant mosquito, Wyeomyia smithii . Oecologia, 110, 32–39. [DOI] [PubMed] [Google Scholar]