Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Continuous dynamic adjustment of the plant circadian oscillator

Abstract

The clockwork of plant circadian oscillators has been resolved through investigations in Arabidopsis thaliana. The circadian oscillator is an important regulator of much of plant physiology, though many of the mechanisms are unclear. New findings demonstrate that the oscillator adjusts phase and period in response to abiotic and biotic signals, providing insight in to how the plant circadian oscillator integrates with the biology of the cell and entrains to light, dark and temperature cycles. We propose that the plant circadian oscillator is dynamically plastic, in constant adjustment, rather than being an isolated clock impervious to cellular events.

Introduction

Circadian clocks do not have a fixed period

Circadian clocks drive biological rhythms to anticipate the light, dark and temperature cycles of a rotating planet, and to phase and sequence biological events in a coordinated manner. Circadian systems also modulate signalling pathways such that the biological response to a stimulus can depend on the time of day that the stimulus is delivered1,2,3,4,5,6. The rhythm-generating circadian oscillators have some remarkable properties7,8,9: they are capable of self-sustained oscillations with a period close to 24 h in constant environmental conditions; they can entrain to forced external cycles through phase and period adjustment; just like a pendulum, the oscillator can have a natural frequency, which means that there is period of light and dark cycles (usually near 24 h) with which the oscillator resonates to produce the highest amplitude rhythms, and circadian oscillators are temperature compensated such that the period of the circadian oscillator is less sensitive to temperature in the physiological range than would be expected from physical laws. While these behaviours are not unique within biology to circadian oscillators10, their sum has tended to endow circadian oscillators an air of mystery, which can make them appear outside the realms of normal biology. These properties have resulted in circadian oscillators as often being referred to as “clocks” (Fig. 1). This analogy has gained traction with the discoveries that plant, animal and fungi circadian oscillators include negative feedback loops of transcriptional regulation, which sometimes are considered analogous to the cogs of a mechanical watch (Fig. 1). The analogy has power because the feedback in circadian oscillators, like the cogs of a watch, generate the timing signals, provide robustness and temperature compensation, and are the basis of adjusting to external time signals11. However, these “clocks” are not impervious to internal and external signals, they can respond to environmental signals through changes in period and phase. We discuss why circadian clocks respond to environmental signals by a change in period when the Earth has a fixed rotational period. We focus on the model plant Arabidopsis thaliana but consider the concepts might be broadly applicable to the circadian clocks of other plants, fungi, single-celled organisms and peripheral organs of mammals. The situation in cells where the molecular circadian oscillators are strongly coupled by electrical signalling, such as in the suprachiasmatic nucleus of mammalian brains, might be different because the strong coupling will render those oscillators less sensitive to perturbation.

Fig. 1
figure 1

Circadian oscillators are entrained timekeepers. a The circadian oscillator contains a network of transcriptional regulators. The components regulate each other in a temporal series, indicated by the flow of the arrows. The extensive regulation between components has been omitted for clarity; for details, see references in the text. The components can be grouped functionally as MYB-like repressors (cyan), MYB-like activators (red), pseudo response regulators (yellow), nocturnal regulators (dark grey) and proteins involved in protein stability (light grey). b The circadian oscillator is often conceptualised as a mechanical clock, with “cogs” made up of the functional groups of transcriptional regulators, “hands” that provide a read-out of time and the clock is set to a new time at light (yellow box) and dark (black box) interfaces (red dotted line). c Entrainment is thought to occur through non-parametric changes that jump from one point in the cycle to another in an almost instantaneous change in state of the oscillator and parametric changes that require acceleration or deceleration of the oscillator

Dynamic adjustment of Arabidopsis circadian period

The time taken for the Arabidopsis circadian oscillator to complete one cycle in constant environmental conditions, known as the free-running period, is altered by light, temperature, metabolites such as sugars, hormones such as ethylene and ions such as Ca2+ (Table 1). Circadian period decreases with increased light intensity12, whereas it increases with longer photoperiods during entrainment13. Increased temperature reduces circadian period, though the period response to temperature is much less than most other biological activities, which have a rate of change of two to three in response to 10 °C alterations in the physiological range14,15. Low sugar availability increases circadian period, and if under these conditions sucrose, glucose or fructose are added back into the system, the circadian period decreases16. Other metabolites can also affect circadian period; 3′-phosphoadenosine 5′-phosphate and nicotinamide both increase circadian period17,18. Hormones can also affect circadian period, with ethylene reducing the period19 and abscisic acid (ABA) being reported to both increase20 and decrease21 the period. Additionally, ions can regulate the circadian period. The effect of Ca2+ is through signalling22, whereas that of Fe3+ could be nutritional23. Sugars and ABA regulate the circadian period rapidly through transcriptional networks suggesting that the signalling pathways that adjust the oscillator period have arisen to confer advantage21,24. Variability of the circadian period also occurs between the cells of a plant. Root cells have greater variation in circadian period than those in the hypocotyl and cotyledon, those at the top of the root have a longer period than the hypocotyl, but those in the root tip have a very fast period25.

Table 1 Signals that adjust the free-running period of the circadian oscillator of Arabidopsis

The ability of these signals to rapidly adjust the circadian period is an example of phenotypic plasticity in response to a stimulus, where the phenotype is circadian period. The phenotypic plasticity is dynamic because the degree and direction of the change in period can depend on the time of day and is reversible. For these reasons, we call the responses of circadian period to stimuli “dynamic plasticity”. This stimulus-regulated dynamic plasticity of the circadian period should not be confused with the effects of genetic mutations that alter the circadian period under all conditions, such as the laboratory isolated short- and long-period circadian mutants of Arabidopsis8.

Some of the signals that regulate the circadian period, including light and temperature (Table 1), are associated with the synchronisation of the circadian oscillator with the cycles of the environment in the process of entrainment. Circadian entrainment is the adjustment of the phase of the circadian oscillator to match the timing of light and temperature cycles so that the system can track the time of dawn as it changes through the seasons. The founders of modern circadian biology advanced two theories for the mechanisms of entrainment26,27: Pittendrigh proposed that the circadian oscillator is advanced every day in an almost instantaneous manner in a non-parametric view of entrainment, it is a discontinuous event that causes rapid changes in the state of the circadian oscillator (Fig. 1c). Whereas Aschoff considered entrainment as a continuous process in which the circadian oscillator constantly accelerates and decelerates to adapt to the environment in parametric entrainment (Fig. 1c). We argue that the dynamic plasticity of the circadian period provides an insight into the molecular mechanisms of entrainment and can contribute to understanding how both parametric and non-parametric entrainment might occur, insight that was not available to the proposers of these hypotheses. However, other signals that regulate the circadian period are not obviously associated with environmental cycles, e.g. ABA and ethylene (Table 1); therefore we consider how dynamic plasticity might also couple the oscillator to the biology of the cell.

Dynamic plasticity of circadian period involves PRR7

The network properties provide an insight into how the circadian oscillator can have dynamic plasticity of period. Temporal waves of transcriptional regulation result in the components of the oscillator having peak activity at different times of the day (Figs. 1 and 2). CIRCADIAN CLOCK ASSOCIATED 1 (CCA1) and the closely related LATE ELONGATED HYPOCOTYL (LHY) are MYB-like transcription factors that are expressed near dawn; these repress the expression of a suite of PSEUDORESPONSE REGULATOR (PRR) genes that are expressed in sequence (9,7,5 and 1 (also known as Timing of CAB expression 1 (TOC1))), with PRR1 (TOC1) having the peak expression near dusk8. The PRRs repress CCA1/LHY expression8. Thus, once PRR expression has been activated by REVEILLE 8, another MYB-like protein28, the PRRs prevent the expression of CCA1/LHY until near the next dawn. In the night, there is targeting of TOC1 protein for degradation by the F-box protein ZEITLUPE (ZTL)29. GIGANTEA (GI) has a role in stabilising ZTL protein during the day and preventing its interaction with TOC1 proteins until night30. The evening complex forms by the co-binding of EARLY FLOWERING 3 (ELF3) and 4 (ELF4) with LUX ARRHYTHMO (LUX), which together might act as repressors in the circadian network31. LIGHT-REGULATED WD1 (LWD1) along with the members of the TEOSINTE BRANCHED 1-CYCLOIDEA-PCF (TCP) transcription factor family, including CCA1 HIKING EXPEDITION 1 (CHE) (TCP20), bind to the CCA1 promoter to regulate its expression32. Light input to the system is provided by the phytochromes, acting through PHYTOCHROME INTERACTING (PIF) proteins33, cryptochromes and ZTL8. Post-translational modifications of the circadian oscillator components contribute to circadian timing through Ca2+ signalling22, histone modifications34,35, polyADPribosylation36 phosphorylation and protein translocation37.

Fig. 2
figure 2

The loosely coupled nature of the oscillator is demonstrated by the plasticity of peak time of expression of the components of the circadian oscillator. Peak of oscillator transcript abundance is plotted against time since dawn (h). Upper plot: a photoperiod of 6 h light (yellow box) and 18 h dark (grey box); lower plot:18 h light 6 h dark. The time of the peaks shifts between the photoperiods relative to the external photoperiod and relative to each other. Distance from the time line on the y axis is for plotting clarity and conveys no meaning. The data were obtained from Table S245

Defects in the components of the oscillator can change the free-running period, or even result in arrhythmia. For example, toc1-1 is a short period mutant38, ztl-1 is a long period mutant39 and elf3 plants become arrhythmic in constant light40. Some mutations in the circadian oscillator components also can affect the ability of the circadian oscillator to dynamically adjust circadian period in response to signals. For example, prr7 mutants have a fixed circadian period in red light, whereas the period of the wild type shortens with increased light intensity41. The relatively invariant period of prr7 mutants compared to the dynamic plasticity of the wild type has been demonstrated also for sucrose16 and nicotinamide42. Sugars such as glucose, fructose and sucrose shorten the circadian period16, while nicotinamide increases the circadian period42, but both these responses are absent in prr7 mutants. Thus, while prr7 mutants are usually described as long period8, this might be an incomplete description. Instead the apparent long period phenotype of prr7 mutants might be the result of the relative dynamic plasticity of circadian period in the wild type, compared to the rigidity of period in prr7 mutants. The inability of prr7 mutants to dynamically adjust circadian period in response to red light, sugars and nicotinamide suggests that PRR7 might have a function in regulating the period of the circadian oscillator. It has been proposed that PRR7, working alongside PRR9, acts as a toggle switch that drives the oscillator from the morning state of CCA1/LHY activity to the evening state of TOC1 activity43. This role of driver in a toggle switch from one bistable system to another might make PRR7 and PRR9 uniquely suited to receive inputs that adjust the circadian clock to environmental signals, and the pulse like expression of PRR7/9 provides the ability to restrict the responses to particular times of the day43.

Circadian phase is dynamically plastic

Like circadian period, circadian phase is also dynamically plastic. Phase refers to the relationship between an internal event and that of the external time. For example, some events in the circadian oscillator might have peak activity at dawn, or dusk. Typically, these are referred to as phased at dawn or dusk. Due to changes in the day length at higher latitudes, the timing of the events in the oscillator can phase adjust through the process of entrainment to ensure coincidence between internal timing and events in the environment. For example, in Cambridge, United Kingdom, Latitude 52° N, the time of dawn changes by about 4 h over the year due to seasonal changes. For CCA1 expression to peak near dawn, the time of the day that CCA1 peak expression occurs must shift by 4 h over the course of the year. This adjustment occurs because the oscillator can entrain to the new time of the dawn signal through phase adjustments each day44.

Changes in photoperiod also adjust the time of peak expression of the components of the oscillator (Fig. 2)44. As the day length increases, there is an increase in the circadian period13, which might be why the oscillator genes peak later after dawn in the long photoperiods (Fig. 2)44. While all oscillator genes tend to peak later in long photoperiods, the genes are not completely locked to each other in terms of phase. In an experiment in which the oscillator transcript abundance was measured across light and dark (diel) cycles with day lengths of 6 h or 18 h, LHY peaked 0.9 h later in the 18-h photoperiod compared to the 6-h photoperiod, whereas the timing of peak abundance of TOC1/PRR1 was 3.7 h later in the longer photoperiod and PRR9 was 4.5 h later44. If the components of the oscillator were tightly linked, they would respond similarly to different lengths of photoperiod. Instead the relationship between the components in terms of the time of peak expression appears to have a degree of plasticity. The consequence is the time between the activity of each of the components can change dramatically. For example, in the short photoperiod, the time between the peak of CCA1 to PRR9 is 4.3 h, whereas in the long photoperiod it is 6.1 h44. Similarly, in the short photoperiod, there is a 3.9-h gap between peak PRR9 and PRR7, but in the long photoperiod this is reduced to 0.4 h. Some components appear to have tighter linkage with each other, such as those that form the evening complex (ELF3, ELF4 and LUX), which peak nearly simultaneously in both photoperiods (Fig. 2).

In addition to the relative plasticity in the timing between some of the components, there is also a plastic relationship between the phase of the oscillator components and the timing of the light and dark cycle. While CCA1/LHY always peak near dawn, there is not a similar relationship between other oscillator genes and the light/dark cycle (Fig. 2). For example, in the short photoperiod, all the evening complex transcripts peak shortly after dusk, but in the long photoperiod, the peak is just after midday (Fig. 2). The time of peak TOC1/PRR1 and GI expression also shifts from the dark to the light in the different photoperiods (Fig. 2).

While the timing of the abundance of the RNA molecules might not reflect completely the timing of the activity of the encoded proteins, the change in the timing of expression of the oscillator genes demonstrates regulatory plasticity in the oscillator because the expression of the oscillator transcripts represents the output of the regulatory events in the oscillator and shows the plastic response of these regulatory events to changes in photoperiod. This plasticity of the phase of the components of the circadian oscillator demonstrates that the genes should not be considered like cogs tightly coupled in a clock mechanism. The flexibility of the phase of peak expression is well captured by models that consider the system to be a complex regulatory network, rather than comprised of discrete feedback loops45. The proposal that the Arabidopsis circadian oscillator comprises coupled bistable systems also might in part explain how oscillatory dynamics can arise from a system in which the timing of the expression of the components is too plastic to consider the oscillator as a tightly coupled oscillator akin to a watch43.

Dynamically plasticity might permit entrainment

Synchronisation to the local environment is the essence of a circadian system and might be more important than the characteristic ability of circadian systems to generate self-sustained rhythms because plants that have functional oscillators perform poorly in environments in which they cannot entrain well to the light and dark cycle2,46. We can conceptualise the problem of circadian entrainment as the resetting of the time of a mechanical travel clock after jet flight to a new time zone27. The pace of the ticking of the clock will depend on the mechanical clock work, whereas the position of the hands, equivalent to the phase, will be set by the owner of the clock (Fig. 3). The owner will set the hands of the clock to the local time where they are based, with the owner being the equivalent to an entraining zeitgeber (time setting signal). Following a jet flight to a new time zone, the owner will adjust the hands of the clock to the new time zone by winding the mechanism clockwise or anti-clockwise, i.e. with or against the default rotation of the clock. It can be seen from this analogy, that the owner transiently changes the velocity of the rotation of the hands around the clock face. For example, a clockwise rotation of the hands from six to nine o’clock represents a transient acceleration of the velocity. Following the entraining change in velocity to the new position, the hands will subsequently return to the default free-running velocity determined by the clock mechanism. Below, we outline the evidence that stimulus-induced transient changes in circadian period are also associated with the entrainment of circadian oscillators. While it is important for circadian oscillators to respond to signals, these responses must not be unfettered. There are trade-offs in the architecture of circadian systems, because the most precise clocks, which are resistant to external perturbation, are the slowest to entrain, and therefore lower precision favours robust entrainment; however, a degree of precision is required to prevent instability47.

Fig. 3
figure 3

Entrainment might involve transient changes in the velocity of an oscillator. We can conceptualise the problem of entrainment as setting the hands of a travel clock when moving between time zones. In the cartoon, we can see that if we move the time zones and readjust the hands of the clock to a new time zone, there is a temporary speeding up or slowing down of the movement of the hands to adjust to the new time zone, before the clock returns to its fixed velocity

Mutations in BIG (At3G02260), a collosin-like protein, affect the dynamic plasticity of circadian period and result in plants that entrain less well than wild-type13. BIG was found to be involved in the dynamic plasticity of circadian period because mutations alter the response to nicotinamide13. Nicotinamide increases the circadian period in all organisms tested, including Arabidopsis18, mouse48 and Ostreococcus49. Nicotinamide might regulate the circadian period through the inhibition of ADPR cyclase activity and Ca2+ signalling18, SIRTUINs48 or reduction of H3K4me3 accumulation34. Mutations in BIG render the Arabidopsis circadian oscillator oversensitive to nicotinamide such that treatment will increase the circadian period by about 3 h in the wild-type, but up to 6 h in mutant plants13. The defect in dynamic plasticity of the period is not restricted only to responses to nicotinamide, big mutants are also oversensitive to light, having faster running oscillators at low light intensities than wild-type plants13. Therefore, big mutants, like prr7, have defects in their ability to dynamically adjust the circadian period, and both these mutants have altered phase in light and dark cycles13,16,24,41,42, and in the case of prr7 mutants, there is also a phase defect following entrainment to temperature cycles50. These data suggest that the dynamic adjustment of circadian period is associated with entrainment to both light and temperature13,16,24,41,42,50. Dynamic plasticity of circadian velocity, and therefore period, is probably associated with entrainment in other organisms as well. Modelling studies have shown that the properties of entrainment of the mouse circadian oscillator are accounted for if the velocity of the oscillator is considered as being in continuous adjustment51.

We can consider two plausible scenarios in which a change of circadian period is associated with entrainment. In one, a stimulus-induced change in the expression or activity of a component could change the time taken between one event in the oscillator and the next event (e.g. a change in the rate of transcription, translation or protein degradation), which would alter the velocity and therefore the period of the oscillator (Fig. 1c). For example, reducing the time between the production of one protein and the next will advance the phase because the velocity has increased, reducing period. Because oscillator components are active at different times of the day (Figs. 1, 2 and 4), a stimulus-induced alteration can be restricted to a specific part of the pathway and therefore temporary, which will mean there is a temporary change in velocity of the oscillator, representing dynamic plasticity. An example of a transient, stimulus-induced change in abundance of an oscillator component is sugar-induced repression of PRR7 expression in the morning, which is sufficient to advance circadian phase52. This could be considered a form of parametric entrainment because the expression of PRR7 can be modelled by a parameter describing the range of possible values of PRR7 abundance dependent on sugar stimulus strength52. A second scenario describes the so-called non-parametric mechanisms. In this scenario, dynamic alterations of circadian period could be a consequence of discontinuous changes in phase, caused by a large and rapid change in the state of an oscillator component, which results in a “jump” to another phase without an apparent change in velocity (Fig. 1c). Jumps in phase could result from rapid stimulus-induced changes in the state of an oscillator protein, such as protein–protein interactions, phosphorylation or bistability in the network. While an instantaneous change in phase does not change the velocity, it will change the period, because the period is the velocity plus the phase change.

Fig. 4
figure 4

Dynamic phase adjustment of circadian oscillator through regulation of individual components. Entrainment occurs through signalling to individual components based on their temporal availability. At dawn, light-regulated transcription factors, including PIF3, regulate CCA1 expression33, sugars regulate bZIP63 to modulate PRR7 expression to establish a metabolic dawn16,24 and dusk is sensed through ZTL-mediated degradation of TOC1 protein in the dark29. Each entrainment event is semi-discrete, can have potential for downstream components, but might also be temporally restricted due to subsequent inputs. The sequential nature is akin to a signalling pathway rather than the resetting of an entire clock mechanism. The wave form for these components in a 12-h light and 12-h dark cycle normalised to peak height indicates the times of potential regulation. Red (CCA1), black (PRR7) and blue (TOC1). Dashed lines are mRNA, solid line is the protein. Data for the plots were obtained from digitised data sets45 of CCA1 mRNA71, PRR7 mRNA72 and protein55, and TOC1 mRNA39 and protein37. This collection does not contain light/dark cycle data for CCA1 protein45

Dynamic adjustment by the regulation of oscillator components

It is reasonable to consider how the circadian oscillator arrives at an appropriate period and phase when regulated by multiple inputs such as light and sugars. Possibly, light and sugars are competing signals, and the “strongest” signal is the one that determines the phase of the oscillator. However, because the components of the circadian oscillator are not rigidly locked to each other44, it is possible to consider an alternative scenario in which there might be multiple resetting events that dynamically adjust the phase, dependent on input signals regulating individual components of the oscillator at different times of day. We have proposed that in addition to dawn, there is a second phase setting event that occurs through the regulation of PRR7 expression to adjust to a “metabolic dawn”16. In this model, there is a temporal separation between the regulation of CCA1/LHY by light at dawn and the regulation of PRR7 by sugar signals at the metabolic dawn. Regulation by the signals is restricted to specific times of day, dependent on the temporal dynamics of the wave of expression of the circadian oscillator components (Fig. 4). Continuous application of sugars speeds up the oscillator (Table 1), whereas a pulse of sugar causes an advance in phase, which is restricted to early in the photoperiod because that is the time when PRR7 is expressed. PRR7 is the first transcriptional response of the oscillator to sugars and PRR7 is required for the response to sugars16. Sugars regulate PRR7 abundance through the sugar-signalling transcription factor bZIP63, which is also required for the response of the circadian oscillator to sugars in the morning24. Mathematical modelling explains why suppression of PRR7 expression causes a phase advance only in the morning and a phase delay if the sugar is applied at night; in the absence of sugars, PRR7 transcripts accumulate in the day and are low at night. A sugar signal in the day suppresses PRR7 transcript abundance advancing the oscillator to a more night-like phase, whereas if that sugar signal arrives at night, it delays the accumulation of PRR7 delaying the onset of the day phase of the oscillator52. The importance of this adjustment of circadian phase by sugar-mediated regulation of PRR7 through bZIP63 is demonstrated by the late phase of prr7-11 and bZIP63-1 mutants in light and dark cycles24.

It has been proposed that sugars also regulate the circadian oscillator through binding of PIFs to the promoters of CCA1 and LHY53. While induction of CCA1 expression by sugars is attenuated in pif mutants53, CCA1 might not be the primary entry for sugar signalling into the circadian system because sugar-induced increases in CCA1 promoter activity are absent in prr7-1116. Furthermore, PRR7 transcripts are upregulated in the first cycle of treatment with the photosynthesis inhibitor DCMU (3-(3,4-dichlorophenyl)-1,1-dimethylurea), which causes low sugar availability, but CCA1 expression does not change until the subsequent cycle, presumably as a consequence of the regulation of CCA1 by PRR716. Sugar-mediated dynamic regulation of circadian period and phase might apply also to other species because sugars are also potential regulators of the circadian oscillator of the Crassulacean acid metabolism (CAM) plant Kalanchoë fedtschenkoi54.

In a light and dark cycle, the effect of a signal, such as sugar, on the phase will persist only until another zeitgeber (time-giver) adjusts phase through another component of the circadian oscillator (Fig. 4). For example, in Arabidopsis, the light-to-dark transition at dusk might adjust phase through the regulation of TOC1, whose abundance in the dark is regulated by ZTL and GI29. Once the cycle proceeds to the next dawn, light activation of the CCA1/LHY promoters will result in another phase adjustment of the circadian oscillator33. Considering light regulation of CCA1/LHY, regulation of PRR7 by sugar status and input of dusk through TOC1 stability, it is possible to see that there can be dynamic phase changes occurring through the cycle by impact on the activity of individual components, which do not necessarily feed through to the next diel cycle because later zeitgebers also adjust the oscillator (Fig. 4). Therefore, circadian phase is in constant dynamic adjustment. This becomes more apparent when it is considered that other signals adjust the phase of the circadian system of Arabidopsis, for example temperature can entrain the oscillator through mechanisms that include PRR7 and 9 (refs. 50,55,56) and nitrogen status also can regulate the phase of the circadian clock by regulating CCA1 expression57. This plasticity of phase offers the opportunity for fine tuning the timing of the components and their regulated outputs in an ever-changing environment.

Dynamically plasticity contributes to carbon homoeostasis

Many of the hormones, metabolites and ions that regulate the period of the circadian oscillator (Table 1) do not have obvious associations with the timing of the dawn or dusk and are therefore unlikely to contribute to ensuring synchronisation of the circadian oscillator to external cues. More likely they provide feedback from the physiological and metabolic status of the plant to fine tune components of the circadian oscillator to ensure the oscillator regulates physiological and metabolic pathways appropriately. The “metabolic dawn” hypothesis is an example in which the oscillator is proposed to entrain to the varying rate of photosynthetic production of sugars dependent on prevailing weather conditions, possibly to adjust the timing of the production of transcripts and regulation of pathways involved in photosynthesis and metabolism16. Feedback from endogenous sugar levels to the circadian oscillator was shown by the altered circadian period and phase in low CO2, or following treatment with the inhibitor of photosynthesis, DCMU16. An extension of this concept proposed that the circadian oscillator might contribute to the homoeostatic management of transient carbon reserves associated with the light and dark of the diel cycle58,59. C3 and C4 plants fix carbon (C) during the day by photosynthesis. A percentage of the fixed C is allocated to a C reserve for consumption at night to survive the dark. In Arabidopsis, the transitory reserve is starch, which is consumed completely by dawn, with the rate of accumulation and loss being dependent on day length and near linear (Fig. 5a)60. The circadian clock is a regulator of the starch reserve, and if this regulation is compromised, there is a severe impact on growth61.

Fig. 5
figure 5

Dynamic plasticity of circadian rhythms might contribute to carbon homoeostasis in Arabidopsis. a There are diel changes in the transient starch pool stored in the chloroplasts, with the rate of accumulation and loss being near linear and adjusting to the photoperiod. b It has been proposed that the circadian clock generates an output that is a measure of time until dawn (T). This interacts with a measure of the size of the starch granule (S) to set a constant rate of starch degradation until dawn. In this model, the rate of degradation is calculated individually in the 100s of chloroplasts in a mesophyll cell. This model class assumes that starch pool size is regulated63. c Another proposal is that the circadian clock regulates the starch degradation activity (β), such that it peaks near dawn. Sugars released from starch degradation in the chloroplast feedback to regulate the circadian oscillator in the nucleus by affecting the pool of available C. The circadian oscillator is dynamically adjusted to maintain available C homoeostasis in a form of retrograde signalling58. d In the morning, a rising rate of change of sugars promotes phase advance (red), which will have the effect of reducing β at any particular time point. A phase delay in the morning will increase β at any time point, increasing starch degrading activity (not shown). Phase delays by sugars at night will have the effect of reducing β

The transitory starch reserve is stored in the chloroplast as polymers of glucose highly compacted into a granular structure. The network of reactions involved in its synthesis and degradation is not a linear pathway, which has rendered the entire process a challenge to untangle. Degradation involves reversible phosphorylation of the glucan chains at the surface of the granule to disrupt its semi-crystalline structure. This enables hydration for the cleavage of α-(1,4) glycosidic bonds by multiple isoforms of α- or β-amylase, releasing malto-oligosaccharides or free maltose, respectively. Maltotriose residues are further metabolised into glucose that together with maltose are exported to the cytosol across the chloroplast inner envelope62.

To resolve how this remarkable process can adjust to day length, mathematical models of possible mechanisms have been proposed. One suggestion is that the plant calculates the nocturnal starch degradation rate based on the amount of starch at dusk and the time remaining to dawn, estimated by the circadian oscillator63. In this model, the circadian oscillator is a timekeeper providing an output of circadian time (T). This has been envisaged as two molecules, T (circadian output) and S (starch measure), which interact on the surface of the starch molecule to regulate the nocturnal degradation rate (Fig. 5b). The assumption that a value associated with the amount of starch at dusk is measured, setting a fixed degradation rate to dawn, has a strong basis in experimental observation; the starch degradation rate at night increases with the intensity of light during the day to ensure that the extra starch accumulated by dusk is exhausted by dawn and starch degradation rates also adjust to the imposition of an unexpected late or early dusk64. Although the identity of S and T are unknown, it has been speculated that the phosphorylation and dephosphorylation cycle at the starch surface could be a good candidate for controlling the starch dynamics. This hypothesis is supported by experiments showing that mutants of phosphoglucan water dikinase (PWD), which phosphorylate the C3-positions of glucose, are unable to correctly adjust starch degradation to an unexpectedly early night, and the level of phosphate per unit mass of starch along a diel cycle resembles the predicted behaviour of the S molecule concentration63. The model has been expanded to consider the potentially different roles of light-, dark- and circadian-regulation of starch degradation and synthesis64. It has been proposed that the stress-signalling kinase AKINβ1 is a good candidate for a dark sensor to allow adjustment of starch degradation rate to photoperiod65.

In an alternative model, starch is not measured. Instead a molecule, or signal, that reflects the available C-status (from photosynthesis and released by starch degradation) adjusts the phase of a circadian-regulated starch degrading activity (β; Fig. 5c)59. The measured available C pool is the C that is not in a storage pool such as starch and instead is the pool that is available for allocation to respiration, growth or storage. In the model, this pool was described as “sucrose” to distinguish it from starch but recognises that sucrose represents only a subset of the available C pool and might not be the sugar that is measured. Here, we will refer to homoeostasis of available C, unless the effects of specific sugars are being described. β could represent the activity of one or several starch degrading enzymes, which increase activity through the night to peak near dawn and decrease activity to a trough near dusk (Fig. 5d). β ensures that sufficient sugars are released to maintain available C homoeostasis. A first version of this model considered the starch degrading activity (β) as a simple sinusoidal that adjusted phase in response to available C status and was optimised to minimise starvation of the plant66. This was later revised to consider that the homoeostasis of available C is optimised, rather than starvation, because starvation rarely occurs in normal conditions58. In these models, an aspect of the circadian system is dynamically adjusted to regulate the phase of β and starch is not measured.

prr7-11, which is unable to dynamically adjust the circadian oscillator in response to sugars and other signals, has a higher rate of starch accumulation in long days than wild-type, providing empirical support for the hypothesis that the dynamic adjustment of the circadian oscillator contributes to the timing of starch degradation58. The proposed role of the dynamic adjustment of the oscillator by available C is most easily understood in simulations and experiments with a transfer between day/night cycles of different photoperiod lengths because this perturbs C homoeostasis. For example, if a plant is transferred from 16 h light/8 h dark to 8 h light/16 h dark, the nocturnal starch degradation is insufficient to support available C homoeostasis during the first night because insufficient starch has been accumulated and the night is long, and thus at dawn available C levels are low. When photosynthesis starts, there is a large positive-going available C signal advancing the circadian phase, which reduces β at each time point in the morning (Fig. 5d). This lower β during the photoperiod results in more starch accumulation (because less starch is being degraded) ensuring enough starch is stored to allow for C homoeostasis in the subsequent long night. Conversely, transfer from a short day to a long day results in excess available C at night, which results in a negative-going available C signal at dawn, and delay of circadian phase. The prediction from these simulations is that a circadian oscillator that cannot dynamically adjust the timing of starch degradation in response to the rate of change of available C will have higher starch accumulation in long days because the system will not respond appropriately to the dawn available C signals, which was confirmed experimentally in prr7-1158.

The dynamic adjustment of the circadian oscillator to available C is proposed to be most important in regulating the starch degrading activity during the day, rather than at night, since the circadian phase dependence of the night time starch degrading activity required to maintain available C homoeostasis is almost invariable regardless of the photoperiod58. This model explains why sugars advance the circadian phase in the morning and cause a delay in phase at night16, by demonstrating that minimisation of available C fluctuations in response to a simulated pulse of sugars in the morning requires an advance of the circadian phase of β to a point on the curve where there is a lower level of activity to reduce the amount of sugars released from starch. At night lowering β to cope with a pulse of sugar requires a phase delay (Fig. 5d)58.

It is probable that sucrose is not measured, but instead trehalose-6-phosphate (T6P), a signalling sugar, is the marker because in addition to adjusting the phase of the circadian oscillator24, T6P regulates the rate of starch degradation in the dark67. Low C-induced upregulation of PRR7 expression by bZIP63 is repressed by T6P modulation of KIN10 activity, suggesting a signalling pathway by which the circadian oscillator adjusts the phase to regulate β24. However, until a candidate for β is identified, it will be difficult to distinguish whether T6P directly regulates starch degradation activity67 or regulates starch degradation through modulation of the circadian phase24, or both.

The two model classes proposed for the regulation of transitory starch pools (Fig. 5) differ not only in the proposed roles of the circadian oscillator, but also in considering the systems as examples of anterograde (nuclear to organelle; Fig. 5b) or retrograde (organelle to nuclear; Fig. 5c) signalling68. In the anterograde pathway, the nucleus distributes a timing signal T to each of the starch granules in each of the 100s of chloroplasts of a mesophyll cell to regulate the degradation of the starch (Fig. 5b)63. In the retrograde pathway, changes in available C due to sugars released from the degradation of starch feedback to the nucleus to regulate the circadian control of starch degradation offering the advantage of centralised regulation of distributed stores, in this case nuclear control of starch granules in 100s of chloroplasts (Fig. 5c). The need to regulate numerous stores suggests it is likely that some form of feedback must participate in the pathway, and this appears to involve the regulation of starch degradation by T6P, with current evidence being both for24 and against67 the circadian clock participating in this feedback.

Cereals accumulate transient starch in the leaf in a linear manner, similar to Arabidopsis, but usually the major transient carbohydrate is sucrose stored in the vacuole69. Understanding why some species store sucrose rather than starch, and the mechanisms by which this occurs will provide regulatory insight. The linear accumulation and storage of carbohydrate stores is not limited only to plants. Glycogen storage in Cyanobacteria has similar linearity of accumulation and loss, dependency on photoperiod for the rate of accumulation and involves circadian regulation70. As with starch in Arabidopsis, it has proven possible to model the timing of glycogen accumulation as an emergent property of optimal resource allocation on the basis of growth optimisation58,70. Other forms of homoeostasis might also be associated with the dynamic adjustment of the circadian oscillators because temperature compensation of the Arabidopsis circadian oscillator involves the regulation of SUMOylation, and mutants that are defective in this process have altered dynamic changes in period in response to temperature15.

Circadian oscillators are not uniquely isolated from biology

The new data demonstrating a role for signals in regulating the period and phase of the circadian clock in Arabidopsis show that the plant circadian oscillator is not ticking away invariantly isolated from the rest of the cell. Instead circadian period and phase are dynamically adjusted (Table 1). The components of the oscillator are not locked together like the cogs of a watch, they can respond semi-independently to the different signals, for example PRR7 is upregulated by low sugar signals, whereas PRR9 is unresponsive16 and the oscillator components change their temporal relationship in response to changes in the photoperiod44. These findings suggest that the circadian oscillator is a dynamically adjusting system that responds to many signals to participate in synchronising internal time with external time, and possibly to regulate the biology of the cell.

References

  1. Fowler, S. G., Cook, D. & Thomashow, M. F. Low temperature induction of Arabidopsis CBF1, 2, and 3 is gated by the circadian clock. Plant Physiol. 137, 961–968 (2005).

    CAS  Article  Google Scholar 

  2. Dodd, A. N. et al. Plant circadian clocks increase photosynthesis, growth, survival, and competitive advantage. Science 309, 630–633 (2005).

    ADS  CAS  Article  Google Scholar 

  3. Dodd, A. N. et al. Time of day modulates low-temperature Ca2+ signals in Arabidopsis. Plant J. 48, 962–973 (2006).

    CAS  Article  Google Scholar 

  4. Robertson, F. C. et al. Interactions between circadian and hormonal signalling in plants. Plant Mol. Biol. 69, 419–427 (2009).

    CAS  Article  Google Scholar 

  5. Hotta, C. T. et al. Modulation of environmental responses of plants by circadian clocks. Plant Cell Environ. 30, 333–349 (2007).

    CAS  Article  Google Scholar 

  6. Dong, M. A. et al. Circadian clock-associated 1 and late elongated hypocotyl regulate expression of the C-repeat binding factor (CBF) pathway in Arabidopsis. Proc. Natl Acad. Sci. USA 108, 7241–7246 (2011).

    ADS  CAS  Article  Google Scholar 

  7. Whitelam, G. C. & Millar, A. J. Light regulation and biological clocks. Annu. Plant Rev. 0, 349–378. https://doi.org/10.1002/9781119312994.apr0010 (2018).

  8. Hsu, P. Y. & Harmer, S. L. Wheels within wheels: the plant circadian system. Trends Plant. Sci. 19, 240–249 (2014).

    CAS  Article  Google Scholar 

  9. Harmer, S. L. The circadian system in higher plants. Annu. Rev. Plant. Biol. 60, 357–377 (2009).

    CAS  Article  Google Scholar 

  10. Webb, A. B. et al. Persistence, period and precision of autonomous cellular oscillators from the zebrafish segmentation clock. eLife 5, e08438 (2016).

  11. Rand, D. A. et al. Uncovering the design principles of circadian clocks: mathematical analysis of flexibility and evolutionary goals. J. Theor. Biol. 238, 616–635 (2006).

    MathSciNet  CAS  Article  Google Scholar 

  12. Somers, D. E. et al. Phytochromes and cryptochromes in the entrainment of the Arabidopsis circadian clock. Science 282, 1488–1490 (1998).

    CAS  Article  Google Scholar 

  13. Hearn, T. J. et al. BIG regulates dynamic adjustment of circadian period in Arabidopsis thaliana. Plant Physiol. 178, 358–371 (2018).

    CAS  Article  Google Scholar 

  14. Kusakina, J., Gould, P. D., & Hall, A. A fast circadian clock at high temperatures is a conserved feature across Arabidopsis accessions and likely to be important for vegetative yield. Plant Cell Environ. 37, 327–340 (2014).

  15. Hansen, L. L. et al. SUMOylation contributes to timekeeping and temperature compensation of the plant circadian clock. J. Biol. Rhythms 32, 560–569 (2017).

    Article  Google Scholar 

  16. Haydon, M. J. et al. Photosynthetic entrainment of the Arabidopsis thaliana circadian clock. Nature 502, 689–692 (2013).

    ADS  CAS  Article  Google Scholar 

  17. Jones, M. A. et al. 3′-phosphoadenosine 5′-phosphate accumulation delays the circadian system. Plant Physiol. 176, 3120–3135 (2018).

    Article  Google Scholar 

  18. Dodd, A. N. et al. The Arabidopsis circadian clock incorporates a cADPR-based feedback loop. Science 318, 1789–1792 (2007).

    ADS  CAS  Article  Google Scholar 

  19. Haydon, M. J. et al. Sucrose and ethylene signaling interact to modulate the circadian clock. Plant Physiol. 175, 947–958 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Hanano, S. et al. Multiple phytohormones influence distinct parameters of the plant circadian clock. Genes Cells 11, 1381–1392 (2006).

    CAS  Article  Google Scholar 

  21. Lee, H. G. et al. MYB96 shapes the circadian gating of ABA signaling in Arabidopsis. Sci. Rep. 6, 17754 (2016).

    ADS  CAS  Article  Google Scholar 

  22. Martí Ruiz, M. C. et al. Circadian oscillations of cytosolic free calcium regulate the Arabidopsis circadian clock. Nat. Plants 4, 690–698 (2018).

    Article  Google Scholar 

  23. Salomé, P. A. et al. Circadian clock adjustment to plant iron status depends on chloroplast and phytochrome function. EMBO J. 32, 511–523 (2013).

    Article  Google Scholar 

  24. Frank, A. et al. Circadian entrainment in Arabidopsis by the sugar-responsive transcription factor bZIP63. Curr. Biol. 28, 2597–2606 (2018).

    CAS  Article  Google Scholar 

  25. Gould, P. D. et al. Coordination of robust single cell rhythms in the Arabidopsis circadian clock via spatial waves of gene expression. eLife 7, e31700 (2018).

    ADS  Article  Google Scholar 

  26. Daan, S. Colin Pittendrigh, Jürgen Aschoff, and the natural entrainment of circadian systems. J. Biol. Rhythms 15, 195–207 (2000).

    CAS  Article  Google Scholar 

  27. Roenneberg, T. et al. The art of entrainment. J. Biol. Rhythms 18, 183–194 (2003).

    Article  Google Scholar 

  28. Rawat, R. et al. REVEILLE8 and PSEUDO-REPONSE REGULATOR5 form a negative feedback loop within the Arabidopsis circadian clock. PLoS Genet. 7, e1001350 (2011).

    CAS  Article  Google Scholar 

  29. Más, P. et al. Targeted degradation of TOC1 by ZTL modulates circadian function in Arabidopsis thaliana. Nature 426, 567–570 (2003).

    ADS  Article  Google Scholar 

  30. Cha, J.-Y. et al. GIGANTEA is a co-chaperone which facilitates maturation of ZEITLUPE in the Arabidopsis circadian clock. Nat. Commun. 8, 3 (2017).

    ADS  Article  Google Scholar 

  31. Herrero, E. et al. EARLY FLOWERING4 recruitment of EARLY FLOWERING3 in the nucleus sustains the Arabidopsis circadian clock. Plant Cell 24, 428–443 (2012).

    CAS  Article  Google Scholar 

  32. Wu, J. F. et al. LWD-TCP complex activates the morning gene CCA1 in Arabidopsis. Nat. Commun. 7, 13181 (2016).

  33. Martinez-Garcia, J. F. et al. Direct targeting of light signals to a promoter element-bound transcription factor. Science 288, 859–863 (2000).

    ADS  CAS  Article  Google Scholar 

  34. Malapeira, J. et al. Ordered changes in histone modifications at the core of the Arabidopsis circadian clock. Proc. Natl Acad. Sci. USA 109, 21540–21545 (2012).

    ADS  CAS  Article  Google Scholar 

  35. Jones, M. A. et al. Jumonji domain protein JMJD5 functions in both the plant and human circadian systems. Proc. Natl Acad. Sci. USA 107, 21623–21628 (2010).

    ADS  CAS  Article  Google Scholar 

  36. Panda, S. et al. tej defines a role for poly(ADP-Ribosyl)ation in establishing period length of the Arabidopsis circadian oscillator. Dev. Cell 3, 51–61 (2002).

    CAS  Article  Google Scholar 

  37. Wang, L. et al. PRR5 regulates phosphorylation, nuclear import and subnuclear localization of TOC1 in the Arabidopsis circadian clock. EMBO J. 29, 1903–1915 (2010).

    CAS  Article  Google Scholar 

  38. Millar, A. J. et al. Circadian clock mutants in Arabidopsis identified by luciferase imaging. Science 267, 1161–1164 (1995).

    ADS  CAS  Article  Google Scholar 

  39. Kim, W.-Y. et al. ZEITLUPE is a circadian photoreceptor stabilized by GIGANTEA in blue light. Nature 449, 356–360 (2007).

    ADS  CAS  Article  Google Scholar 

  40. Hicks, K. A. et al. Conditional circadian dysfunction of the Arabidopsis early-flowering 3 mutant. Science 274, 790–792 (1996).

    ADS  CAS  Article  Google Scholar 

  41. Farré, E. M. et al. Overlapping and distinct roles of PRR7 and PRR9 in the Arabidopsis circadian clock. Curr. Biol. 15, 47–54 (2005).

    Article  Google Scholar 

  42. Mombaerts, L. et al. Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator. PLoS Comput. Biol. https://doi.org/10.17863/CAM.35626 (2019).

  43. Joanito, I. et al. An incoherent feed-forward loop switches the Arabidopsis clock rapidly between two hysteretic states. Sci. Rep. 8, 13944 (2018).

    ADS  Article  Google Scholar 

  44. Flis, A. et al. Photoperiod-dependent changes in the phase of core clock transcripts and global transcriptional outputs at dawn and dusk in Arabidopsis. Plant Cell Environ. 39, 1955–1981 (2016).

    CAS  Article  Google Scholar 

  45. Fogelmark, K. & Troein, C. Rethinking transcriptional activation in the Arabidopsis circadian clock. PLoS Comput. Biol. 10, e1003705 (2014).

    ADS  Article  Google Scholar 

  46. Dodd, A. N. et al. The circadian clock has transient plasticity of period and is required for timing of nocturnal processes in Arabidopsis. New Phytol. 201, 168–179 (2014).

    Article  Google Scholar 

  47. Pittayakanchit, W., Lu, Z., Chew, J., Rust, M. J. & Murugan, A. Biophysical clocks face a trade-off between internal and external noise resistance. eLife 7, e37624 (2018).

  48. Asher, G. et al. SIRT1 regulates circadian clock gene expression through PER2 deacetylation. Cell 134, 317–328 (2008).

    CAS  Article  Google Scholar 

  49. O’Neill, J. S. et al. Circadian rhythms persist without transcription in a eukaryote. Nature 469, 554–558 (2011).

    ADS  Article  Google Scholar 

  50. Salomé, P. A. & McClung, C. R. PSEUDO-RESPONSE REGULATOR 7 and 9 are partially redundant genes essential for the temperature responsiveness of the Arabidopsis circadian clock. Plant Cell 17, 791–803 (2005).

    Article  Google Scholar 

  51. Taylor, S. R. et al. Velocity response curves support the role of continuous entrainment in circadian clocks. J. Biol. Rhythms 25, 138–149 (2010).

    Article  Google Scholar 

  52. Ohara, T. et al. Gene regulatory network models in response to sugars in the plant circadian system. J. Theor. Biol. 457, 137–151 (2018).

    MathSciNet  CAS  Article  Google Scholar 

  53. Shor, E. et al. PHYTOCHROME INTERACTING FACTORS mediate metabolic control of the circadian system in Arabidopsis. New Phytol. 215, 217–228 (2017).

    CAS  Article  Google Scholar 

  54. Boxall, S. F. et al. Phosphorylation of phosphoenolpyruvate carboxylase is essential for maximal and sustained dark CO2 fixation and core circadian clock operation in the obligate Crassulacean acid metabolism species Kalanchoë fedtschenkoi. Plant Cell 29, 2519–2536 (2017).

    CAS  Article  Google Scholar 

  55. Nakamichi, N. et al. PSEUDO-RESPONSE REGULATORS 9, 7, and 5 are transcriptional repressors in the Arabidopsis circadian clock. Plant Cell 22, 594–605 (2010).

    CAS  Article  Google Scholar 

  56. Michael, T. P. et al. Two Arabidopsis circadian oscillators can be distinguished by differential temperature sensitivity. Proc. Natl Acad. Sci. USA 100, 6878–6883 (2003).

    ADS  CAS  Article  Google Scholar 

  57. Gutiérrez, R. A. et al. Systems approach identifies an organic nitrogen-responsive gene network that is regulated by the master clock control gene CCA1. Proc. Natl Acad. Sci. USA 105, 4939–4944 (2008).

    ADS  Article  Google Scholar 

  58. Seki, M. et al. Adjustment of the Arabidopsis circadian oscillator by sugar signalling dictates the regulation of starch metabolism. Sci. Rep. 7, 8305a (2017).

    ADS  Article  Google Scholar 

  59. Webb, A. A. R. & Satake, A. Understanding circadian regulation of carbohydrate metabolism in Arabidopsis using mathematical models. Plant Cell Physiol. 56, 586–593 (2015).

    CAS  Article  Google Scholar 

  60. Lu, Y. et al. Daylength and circadian effects on starch degradation and maltose metabolism. Plant Physiol. 138, 2280–2291 (2005).

    CAS  Article  Google Scholar 

  61. Graf, A. et al. Circadian control of carbohydrate availability for growth in Arabidopsis plants at night. Proc. Natl Acad. Sci. USA. 20, 9458–9463 (2010).

    ADS  Article  Google Scholar 

  62. Streb, S. & Zeeman, S. C. Starch metabolism in Arabidopsis. Arabidopsis Book 10, e0160 (2010).

    Article  Google Scholar 

  63. Scialdone, A. et al. Arabidopsis plants perform arithmetic division to prevent starvation at night. eLife 2, e00669 (2013).

    Article  Google Scholar 

  64. Seaton, D. D. et al. Regulatory principles and experimental approaches to the circadian control of starch turnover. J. R. Soc. Interface 11, 20130979 (2014).

    Article  Google Scholar 

  65. Pokhilko, A. et al. Adjustment of carbon fluxes to light conditions regulates the daily turnover of starch in plants: a computational model. Mol. Biosyst. 10, 613–627 (2014).

    CAS  Article  Google Scholar 

  66. Feugier, F. G. & Satake, A. Dynamical feedback between circadian clock and sucrose availability explains adaptive response of starch metabolism to various photoperiods. Front. Plant Sci. 3, 305 (2013).

    Article  Google Scholar 

  67. dos Anjos, L. et al. Feedback regulation by trehalose 6-phosphate slows down starch mobilization below the rate that would exhaust starch reserves at dawn in Arabidopsis leaves. Plant Direct 2, e00078 (2018).

    Article  Google Scholar 

  68. Chan, K. X. et al. Learning the languages of the chloroplast: retrograde signaling and beyond. Annu. Rev. Plant Biol. 67, 25–53 (2016).

    CAS  Article  Google Scholar 

  69. Trevanion, S. J. Photosynthetic carbohydrate metabolism in wheat (Triticum aestivum L.) leaves: optimization of methods for determination of fructose 2,6-bisphosphate. J. Exp. Bot. 51, 1037–1045 (2000).

    CAS  Article  Google Scholar 

  70. Reimers, A.-M. et al. Cellular trade-offs and optimal resource allocation during cyanobacterial diurnal growth. Proc. Natl Acad. Sci. USA 114, E6457–E6465 (2017).

    CAS  Article  Google Scholar 

  71. Hsu, P. Y. et al. Accurate timekeeping is controlled by a cycling activator in Arabidopsis. eLife 2, e00473 (2013).

    Article  Google Scholar 

  72. Huang, W. et al. Mapping the core of the Arabidopsis circadian clock defines the network structure of the oscillator. Science 336, 75–79 (2012).

    ADS  CAS  Article  Google Scholar 

  73. Knight, H. et al. The sfr6 mutation in Arabidopsis suppresses low-temperature induction of genes dependent on the CRT/DRE sequence motif. Plant Cell 11, 875–886 (1999).

    CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank the JSPS for awards to A.A.R.W., which facilitated the discussions that allowed the ideas in the article to emerge. We thank Tim Hearn for the critical reading and useful comments on an early draft.

Author information

Authors and Affiliations

Authors

Contributions

The manuscript was written by A.W., M.S., A.S. and C.C. Figures were made by A.W. and M.S.

Corresponding author

Correspondence to Alex A. R. Webb.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Journal peer review information: Nature Communications thanks Frank Harmon and the other anonymous reviewers for their contribution to the peer review of this work.

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Webb, A.A.R., Seki, M., Satake, A. et al. Continuous dynamic adjustment of the plant circadian oscillator. Nat Commun 10, 550 (2019). https://doi.org/10.1038/s41467-019-08398-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41467-019-08398-5

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing