Abstract
Organisms have evolved a circadian clock for the precise timing of their biological processes. Studies primarily on model dicots have shown the complexity of the inner timekeeper responsible for maintaining circadian oscillation in plants and have highlighted that circadian regulation is more than relevant to a wide range of biological processes, especially organ development and timing of flowering. Contribution of the circadian clock to overall plant fitness and yield has also long been known. Nevertheless, the organ- and species-specific functions of the circadian clock and its relation to stress adaptation have only recently been identified. Here we report transcriptional changes of core clock genes of the model monocot Brachypodium distachyon under three different light regimes (18:6 light:dark, 24:0 light and 0:24 dark) in response to mild drought stress in roots and green plant parts. Comparative monitoring of core clock gene expression in roots and green plant parts has shown that both phase and amplitude of expression in the roots of Brachypodium plants differ markedly from those in the green plant parts, even under well-watered conditions. Moreover, circadian clock genes responded to water depletion differently in root and shoot. These results suggest an organ-specific form and functions of the circadian clock in Brachypodium roots.
Similar content being viewed by others
Introduction
Intrinsic oscillations with a period close to the 24-h long rotation time of the Earth—called circadian rhythms—provide temporal organization and precise timing of biological processes in every living organism from cyanobacteria to mammals. Proper adjustment of these rhythms is provided by daily fluctuation of environmental cues, such as light/dark or warm/cold cycles, as input signals. The fundamental role of daily rhythms in biological processes is widely known, and the importance of the circadian clock in fitness optimization through temporal synchronization of gene expression, metabolism and physiology to predictable environmental changes has long been a central issue in plant biology since Androsthenes described the sleeping movement of leaves as the first recorded evidence for daily rhythms in plants more than two millennia ago1. The molecular network of the inner clockwork that establishes daily oscillations in plants has been thoroughly reported in Arabidopsis thaliana. In Arabidopsis, the heart of the main oscillator consists of three interlocking regulatory loops: a morning-phased, a central and an evening-phased loop2. In brief, the day starts with an expression peak of two partially redundant MYB-domain transcription factors, LATE ELONGATED HYPOCOTYL (LHY) and CIRCADIAN CLOCK ASSOCIATED1 (CCA1). In the afternoon and at night, LHY and CCA1 are down-regulated by an evening-phased transcriptional repressor PSEUDO-RESPONSE REGULATOR1/TOC1 (PRR1/TOC1—TIMING OF CAB). Interplay between LHY, CCA1 and TOC1 forms the first loop in the center of the circadian clock. The other key loop consists of TOC1-related PRR proteins (PRR3, 5, 7 and 9) expressed sequentially after dawn in the following order: PRR9, PRR7, PRR5 and PRR33. The overlapping expression pattern of these PRR repressor proteins establishes sequential and extended regulation of TOC1 expression, stability and nuclear transport throughout the day4. The 3rd cycle is formed by the evening-phased components EARLY FLOWERING 3 (ELF3), EARLY FLOWERING 4 (ELF4) and LUX ARRHYTHMO (LUX), which interact to form a transcriptional repressor complex called evening complex (EC)5. LHY and CCA1 are released from the inhibition late at night by the members of the evening complex, thus allowing elevated expression of LHY and CCA1 the following morning. LHY and CCA1 subsequently inhibit TOC1 expression. At the same time, F-box proteins, such as GIGANTHEA (GI) in complex with LKP2 (LOV KELCH PROTEIN2) promote light-dependent degradation of TOC1 and increase the amplitude of the oscillation so that the circadian clock can make a new turn2,6. This simplistic sketch of the circadian oscillator only represents a framework, which has been widened with many circadian-associated components in the last few decades. To date, more than 20 clock-associated genes have been identified and many more are yet to be incorporated in the model, resulting in a more complex and robust network complemented with “repressilator” circuits6.
Based on transcriptome sequencing, approximately 30% of total transcripts are clock-regulated under favorable environmental conditions in Arabidopsis, thus supporting the general view that the circadian clock might be the master conductor of plant gene expression7. Many genes central to essential biological processes, such as flowering time, photosynthesis, biosynthesis and signaling of phytohormones, growth control and metabolic activities, can be found on the output side of the circadian clock. Unsurprisingly, a wide range of studies on the plant stress transcriptome have demonstrated that even responses to different environmental stresses are also shaped by the time of day8,9. The interplay between biotic stresses and diel cues is well-established. In the case of biotic stresses, circadian gating of responses enables defense gene expression during the day, but it dampens at night, thus enabling resources to be saved for growth10,11. With the knowledge of the interplay between plant stress hormones (e.g. jasmonate and abscisic acid) and the circadian clock, rhythmic regulation of many aspects of abiotic stress responses might not be surprising either12,13. Datasets from osmotic stress, salinity, temperature changes and water deprivation have indicated that a high number of abiotic-stress genes fall under circadian control14,15,16.
Studies reporting time-shaped regulation of Arabidopsis transcriptome and growth under mild drought pointed to the gating function of the circadian clock under drought conditions similar to circadian control of biotic stress responses. With an unfavorable water supply, growth is shut down during the day and preserved during the night, when activation of drought responses is crucial17,18. When drought sets in, plants react with a flexible way to reprogram growth to increase their chances of survival, but decrease yield. In accordance with physiological responses, such as stomata closure, growth arrest of young leaves etc., the time of day also strongly affects the extent, specificity and, in some cases, the direction of drought-induced changes in gene expression to save water and energy17. It is still unclear if changes in the diurnal expression pattern of drought responses result from altered circadian clock regulation or not, but the effect of the time of day on the drought response is beyond doubt. Nevertheless, many of the outputs have a feedback connection to the circadian clock and can serve as input signals, thus establishing a dynamic regulatory network based on continuous crosstalk between environmental sensing pathways and the circadian clock19.
Clock components are present in each plant cell, and their core function in precise timing and temporal separation of metabolic and developmental pathways are generally valid for each plant tissue. However, the outcome is merely organ-specific. Recent experiments on the plant circadian clock shed light on tissue-specific aspects and its hierarchical coupling in green parts of Arabidopsis and tobacco20,21,22. For example, CCA1 oscillation has been shown to have a longer period and lower amplitude in stomata guard cells and a different period in different leaf segments and in different whorls of the rosette21. The TOC1 oscillation phase was also different in the vasculature23. Observations on tissue-specific plant circadian clocks indicate that an asymmetric coupling of circadian clocks from vasculature to mesophyll cells and shoots might exist24. However, little attention has been devoted to roots so far. Although there are some indications of a limited number of clock components in the roots24,25,26,27, we know almost nothing about the importance of the circadian oscillator in that organ.
A detailed picture of the circadian clock has taken shape thanks to intensive research on the model dicot Arabidopsis thaliana. Studies on the circadian clock in other species and their evolutionary lineages suggest conservation of the circadian clock28,29. As limited water supply has the most severe impact on agriculture, the contribution of the circadian regulation to drought adaptation in cereals has aroused great public interest recently. Based on Simon and colleagues’ report, relative change in biomass production caused by altered water use efficiency (WUE) in different clock mutant Arabidopsis lines ranges from − 70% to + 80%. The impact of the circadian clock on long-term WUE and its significant relation to biomass production in Arabidopsis lead to the assumption that optimization of the circadian clock might be suited to improve crop productivity under drought conditions30,31.
Although circadian clock genes are largely conserved among grasses and eudicots, comparative studies suggest that direct translation of knowledge on the Arabidopsis circadian clock to other plant species, such as cereals, might not be straight-forward due to differences between monocots and Arabidopsis in clock gene evolution and in clock-controlled processes, such as growth rhythm and photosynthetic metabolism28,32. For example, in Brachypodium distachyon, the model species for temperate grasses and cereals33, phylogenetic studies have revealed different routes in the evolution of LHY/CCA1, the PRR-family and EARLY-FLOWERING-LIKE genes28,34. Brachypodium appears to have a single LHY/CCA1 counterpart with two alternative transcripts (LHY1.1 and LHY1.2). They differ in length due to a retained intron at the 5′ end of the BdLHY1.2 transcript, resulting in a truncated protein isoform in the case of BdLHY1.2. As regards the structure, BdLHY1.2 resembles the alternative splice variant of AtCCA1 (AtCCA1ß)35. This AtCCA1β isoform has a protein domain required for dimerization but lacks the MYB DNA binding motif. It is assumed that AtCCA1β inhibits functional AtCCA1α activity competitively by forming nonfunctional CCA1α-CCA1β and CCA1β-LHY heterodimers36,37. A conserved intron retention event is assumed in the background that resulted in two transcript variants of CCA1/LHY mRNA in evolutionarily distant species, such as Arabidopsis, Brachypodium, maize (Zea mays), rice and poplar (Populus trichocarpa)38. Moreover, this intron retention is supposed to be associated with abiotic stress conditions, such as high light and cold in Arabidopsis36,37. Nevertheless, the presence of two different protein isoforms of LHY/CCA1 with different functions is yet to be confirmed in Brachypodium.
As regards the PRR family, the same number of clock-associated PRRs was identified in Brachypodium as in Arabidopsis. Although a single homologue of TOC1/PRR1 is present in Brachypodium, it is difficult to distinguish between real counterparts to AtPRR3, 5, 7 and 9. There are two Brachypodium genes with equal similarity to AtPRR3 and AtPRR7, and the same situation can be seen in the case of putative Brachypodium homologues of AtPRR5 and AtPRR9. Thus Brachypodium PRRs are designated in the literature as PRR37, PRR73, PRR59 and PRR9528,34. Considering the ambiguous sequence similarity, it is very likely that these PRRs of Brachypodium evolved on different routes compared to Arabidopsis PRRs and that they might not be one-to-one equivalents28,34.
In terms of the evening complex, a single orthologue of LUX and GI are known in Brachypodium and one ELF3 homologue has been identified28,34. More intriguingly, Brachypodium seems to have no orthologue of ELF4 in a strict sense. Arabidopsis has one ELF4 gene and four ELF4-like genes (EFLs) that share the same conserved domain with an unknown function (DUF1313). Based on full-length amino acid sequence similarity ELF4 and ELF4-like proteins (EFLs) of A. thaliana are classified into two clades: an ELF4-related group, which includes AtELF4—the well-known circadian system-devoted member of the ELF4 family with an essential role in flowering time regulation—and AtEFL1 (EARLY FLOWERING4-like 1) and the other subclade of ELF4-like2/3/4 (AtEFL2/3/4)39. Although diverse functions of AtELF4 are known in great detail, the role of EFLs and their link to the circadian clock are still unclear39,40. In silico analyses have shown that ELF4 subgroup members are only found in dicot species, while ELF4-like2/3/4 subfamily members are widely found in higher plants41. ELF4-like sequences of grasses appear to be related to the ELF4/EFL1 lineage of Arabidopsis, but the proposed independent gene diversification in grasses makes it difficult to identify proteins with an ELF4-like function in monocots39. The evolutionary history of the ELF4 family explains the lack of the AtELF4 homologue form Brachypodium and the presence of three ELF4-like related genes (ELF4-like3, ELF4-likeA and ELF4-likeB)28,34. With regard to the lack of one-to-one orthologues of Arabidopsis ELF4 and CCA1 in monocot species which have been investigated so far, it is generally held that these genes are dicot or at least Arabidopsis-specific genes28.
In addition, estimates for the proportion of protein-coding genes that are controlled by the circadian clock generally range between 10 and 13% in many monocots that are significantly smaller compared to Arabidopsis (10.8% for maize42, 12.6% for rice32 and 11.5% for Setaria viridis43). For Brachypodium, MacKinnon et al. predicted that approximately 3% of the transcriptome is under circadian clock regulation44, with the notion that the outcome of these estimations may vary based on the analysis method applied and that the composition of rhythmic gene sets may differ depending on the entrainment conditions, light intensity, temperature range during the day etc. Nevertheless, overall reduction in cycling genes between monocots and Arabidopsis highlights evolutionary divergence in clock functions.
In this research we attempt to assess the response of core clock genes to modest water deprivation with a focus on roots in comparison to green plant parts by systematically monitoring the gene expression changes of clock genes with special reference to Brachypodium distachyon. As this is a descriptive study, we had no preconceptions of the expressional behavior of Brachypodium clock genes, especially in terms of drought stress. However, based on the previously reported conserved manner of clock gene expression in Brachypodium leaves under favorable conditions44,45, we also expect expression patterns of Brachypodium clock genes similar to those of their Arabidopsis counterparts in green plant parts under well-watered conditions. On the other hand, patterns of clock gene expression in roots were supposed to be different from that of green plant parts.
Materials and methods
Plant growth conditions and sample collection
For the experiments, we used the standard or reference diploid Bd21 Brachypodium distachyon inbred line. Seeds of Bd21 accession were obtained from the publicly available B. distachyon collection at the National Plant Germplasm System of the USDA-ARS, Pullman (source accession: PI 254867) (https://www.ars.usda.gov/npgs/)46 and were propagated for the experiment in a controlled greenhouse environment. Experimental plants were grown in an illumination- and temperature-controlled plant growth chamber in compliance with all the relevant safety regulations of our government research institute.
Prior to germination, the seeds were sown on wet soil for 5 days at 4 °C in darkness (stratification). After stratification, the seeds were planted in pots filled with a mixture of sand and perlite (2:1) (five seedlings in each pot). The plants were grown in the growth chamber with the following standard set-ups: 140 µmol m−2 s−1 light intensity of warm-white fluorescent lighting, 22 °C/19 °C light/dark temperature, 60–65% relative humidity. Water and nutrient supply was provided by irrigation with a 0.5% Hoagland solution. At the beginning of the experiments, the plants were grown with optimal water content [80% field capacity (FC) where a relative 100% FC of the sand:perlite mixture is 260–265 g/kg] for two weeks. To maintain the water and nutrient supply, the plants were watered from the top daily during this two-week period. After that, half of the population was grown without further watering until the pots reached 40% FC (5–6 days on average), and then moderate water depletion (40% FC) was maintained for a week prior to sampling by irrigation every second day up to 40% field capacity. The other half of the population was irrigated every second day up to 80% FC. During this two-week period, irrigation was carried out from the bottom of the pots using water-permeable drains placed at the center of the pots. Samples were collected 4 weeks after germination from plants grown under two different water conditions (80% FC and 40% FC) and three different light regimes. In the sampling period, the plants were at a mature vegetative developmental stage—at the stage of main stem elongation, when the tillering phase is completed and the flag leaves are visible but still rolled—immediately before booting (at the BBCH37-38 phenological growth stage according to the numerical system developed by Biologische Bundesanstalt, Bundessortenamt and CHemische Industrie)47.
Before sampling, the plants were grown under the standard long-day lighting for Brachypodium growth: 18 h light/6 h dark photoperiod (light from 6:00 to 24:00). Three different light conditions were used for the sample collection days: 18:6 light:dark (LD), 24:0 light (LL) and 0:24 darkness (DD). Temperature was constant under LL and DD light conditions (22 °C and 19 °C, respectively).
It is worth noting that the relative water content of the pots was monitored daily throughout the experiment by measuring pot weight. At the beginning of sampling, relative water content was around 75% FC in the well-watered (WW) pots and 38% FC in the stressed ones. At the final point of sampling, relative water content was reduced to 50% FC in WW and 30% FC in the stressed pots under LD. Loss of water in DD was only 10% in the WW pots and 5% in the stressed ones by the end of the sampling. However, the slope of the water-loss curve dipped steeply in constant light (LL). At the end of three-and-a-half days of continuous lighting (LL), the relative water content of the WW pots was around 20% FC and 8–9% FC in the stressed ones, thus indicating extensive evaporation and a gradual build-up of moderate drought stress at the end of the experiments.
The samples were harvested every four hours at the following time points: ZT2, ZT6, ZT10, ZT14, ZT18, ZT22, ZT26, ZT30, ZT34, ZT38, ZT42, ZT46, ZT50, ZT54, ZT58, ZT62, ZT66, ZT70, ZT74 and ZT78. ZT (zeitgerber time or circadian hours) is defined as hours spent after providing an external light signal to entrain the circadian clock—in our experimental set-up ZT0 is light on (6:00).
In each light regimes, water conditions and time points the whole root system (including the primary root, lateral roots and shoot-borne crown roots) and the total aerial parts (green plant parts including the stems, stem nodes and leaves—shoots or green plant parts hereafter) of five plants were harvested in two biological replications. Low intensity green light (wavelength: 525 nm) was used to harvest in the dark. Watering was suspended during the three-and-a-half days of sample collection. The samples were freshly frozen immediately in liquid nitrogen and then stored at − 80 °C.
RNA isolation and cDNA synthesis
Total RNA was isolated with a slightly modified CTAB-LiCl extraction method developed by Jaakola et al.48, as we previously described49. RNA samples were treated with DNase1 (ThermoFischer) according to the manufacturer’s protocol. Reverse transcription was performed from 1 µg of total RNA with random hexamers using RevertAid reverse transcriptase (ThermoFischer), as prescribed by the manufacturer. Mock reaction without RevertAid enzyme was also prepared to ensure that there is no contaminating genomic DNA in the samples.
Quantitative real-time PCR analysis (qRT-PCR)
We selected ten core clock genes representing the three circadian loops to analyze the responses of the Brachypodium circadian clock to drought stress: BdLHY1.1 (Bradi3g16515.1) and BdLHY1.2 (Bradi3g16515.2) (this nomenclature refers to the distinction between two alternative transcript variants of the BdLHY gene; elsewhere in the text, BdLHY refers to both transcript variants), BdTOC1 (Bradi3g48880.1), PRR95 (Bradi4g36077.1), BdGI (Bradi2g05226.1), BdLUX (Bradi2g62067.1), BdELF3 (Bradi2g14290.1), ELF4-like3 (EFL4-3) (Bradi4g13227.2), ELF4-likeA (EFL4-A) (Bradi4g29580.1) and ELF4-likeB (EFL4-B) (Bradi1g60090.2). Brachypodium core clock genes homologous to Arabidopsis clock components were selected based on an evolutionary analysis of clock genes by Higgins et al.34 and Calixto et al.28. Evolutionary relatedness was confirmed by reciprocal BLAST analysis and Clustal Omega alignment (https://www.ebi.ac.uk/Tools/msa/clustalo/) of Brachypodium and Arabidopsis protein sequences. For a percentage identity matrix of Brachypodium and Arabidopsis core clock genes, which summarizes putative homologues, see Supplementary Table S1. It is important to note that the BdLHY1.2 variant is missing from the recent v3.2 Brachypodium Gene Models but exists in v3.1. However, we confirmed the existence of two different alternative transcripts of BdLHY experimentally (Supplementary Fig. S1).
Genes and related transcript sequences were collected from Brachypodium distachyon genome database based on the JGI v3.1 genome assembly at Phytozome v13 (https://phytozome-next.jgi.doe.gov/). Specific primer pairs for qRT-PCR detection were designed with Primer3Plus software (http://primer3plus.com/cgi-bin/dev/primer3plus.cgi) with the following parameters: 18–22 nucleotide length of primers, 110–200 bp length of products, 40–60% GC content and 60–62 °C melting temperature. Primer dimerization qualities were tested with the OligoAnalyzer Tool v.3.1 from Integrated DNA Technologies (https://eu.idtdna.com/calc/analyzer). Amplification specificities for each primer pair were checked in silico by blasting primer sequences in the NCBI PrimerBlast tool against the B. distachyon Refseq mRNA collection (http://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi?LINK_LOC=BlastHome).
Primer sequences and their main attributes are listed in Supplementary Table S2. The average amplification efficiencies of each primer pair were derived from the slope of the amplification curves at the exponential phase of three different reactions from three different samples. The corresponding PCR efficiency was calculated according to the equation: E = 10(− 1/slope)50. We checked the selectivity of the primers towards the two BdLHY variants by sequencing the mRNA-derived PCR products (Supplementary Fig. S1).
Relative transcript amounts of the Brachypodium core clock genes were measured by qRT-PCR with Applied Biosystems 7900-HT Fast Real-Time detection equipment using 2 × Power UP SYBR Green PCR Master Mix (ThermoFischer) according to the manufacturer’s instructions with a standard PCR set-up: 50 °C 2 min, 95 °C 10 min, 95 °C 15 s and 60 °C 1 min at 40 cycles followed by melting point analysis. Each reaction occurred in three technical replicates and reaction specificity was confirmed by the presence of a single peak in the melting curve.
Data analysis
Relative transcript amounts were evaluated according to the 2−∆∆Ct method published by Livak and Schmittgen51. Results were first normalized using the average Ct values of EF1-a (ELONGATION FACTOR1-a—Bradi1g06851) and UBC18 (UBIQUITIN-CONJUGATING ENZYME18—Bradi4g00660), which were validated as suitable reference genes across various plant samples52 and found to be appropriate for targeted analysis of time course gene expression across various light–dark and temperature cycles44, secondly, ∆Ct values were normalized to the average ∆Ct values for a given target clock gene of green plant parts growing at 80% water capacity at 18:6 photoperiod. All the data related to the two biological replications are available in Supplementary File 1.
All rhythm data were analyzed with Biological Rhythms Analysis Software System 2 (BRASS2), running fast Fourier transform nonlinear least-squares estimation. BRASS2 was developed and is distributed by Paul Brown and Andrew J. Millar (www.amillar.org)53,54,55. Mean periods within the circadian range (15–40 h), amplitude and relative amplitude error (RAE) values were estimated using default settings. Phase values were determined as the time of the first full peak of mRNA accumulation rhythms.
Average transcript amounts were estimated with the ∆∆Ct method for each clock gene relative to the average ∆Ct value of green plant parts growing with 80% water capacity at 18:6 photoperiod. Statistical significance of the average transcript values was predicted using a linear regression model with the R software package. Three different light conditions, two different water supplies and two different plant materials (roots or green plant parts) were used as predictors. Two different models were built for each gene: the first model (model 1) contains only the predictors while the second one also includes the interaction terms between pairs of predictors (model 2). ANOVA test was used to predict significant differences between the two models.
Results
In order to describe the influence of mild drought stress on the circadian clock in monocots, with special attention to plant part-specific aspects, we entrained the model grass Brachypodium distachyon seedlings in long-day photocycles (18:6 light:dark) for two weeks. Half of the plants were then exposed to modest water deprivation (down to 40% relative soil water capacity) for two weeks before sampling. Both sets were split into three subsets: 24:0 continuous light and 0:24 continuous dark, with the third subset remaining in long-day photocycles. After exposure to the new light conditions, aerial plant parts and the total root system were collected every four hours for 3.5 days, as described in Materials and methods, resulting in a collection of 12 × 20 time-resolved samples for each of the three lighting conditions, under two different watering regimes, involving both aerial and root plant parts. The transcript quantity of the core clock genes (LHY, TOC1, LUX, GI, PRR95, ELF3, EFL4-A, EFL4-B and EFL4-3) was determined by qRT-PCR relative to the average dCT value of the green plant parts grown in 18:6 light with a normal water supply (80% relative soil water content). All the data are presented in Supplementary File 1.xlsx.
General overview of Brachypodium circadian clock activity
An overview of the parameters (phase, period, amplitude and RAE) under the three light conditions and two water regimes confirmed that all the clock genes investigated have rhythmic expression under long-day conditions (18:6 LD) both in the shoots and roots (Tables 1 and 2) except for BdELF3 and BdELF4-like genes (Supplementary Table S3), suggesting that those genes are not components of the classical feedback regulatory loop of the Brachypodium central oscillator. In the presence of rhythmic entraining signal, the period of the clock genes must be parallel to the period of the signal. Not surprisingly, the period of the clock genes in LD is 24 h, which matches the period of light:dark cycles in our experiment. The expression phase of BdLHY in LD seems to be earlier in the roots than in the green plant parts if the plants are well-watered, but drought causes a slight phase delay (Table 1, Fig. 1a,b). Considering the standard deviation of phase estimation, these subtle differences in BdLHY phase are insignificant (Table 1). The expression phase of BdTOC1 is 12 h in LD irrespective of plant parts and water conditions (Table 1, Fig. 1c). Phase of BdPRR95 and BdGI expression is earlier in the roots than in shoots in LD and unaffected by water depletion (Table 2, Fig. 2). Low RAE values in the green plant parts in LD suggest a robust rhythm of the circadian clock, while the oscillation in the roots is weaker both under well-watered and drought conditions. RAE values varying between 0 (perfect fitted rhythm) and 1 (rhythm not significant) define the Fourier fit of experimental data to the algorithm-based estimated curve (the value of the amplitude error estimation divided by the experimental amplitude value)55. The RAE values are consistently higher, but amplitudes are lower in the drought-stressed samples. These differences in RAE and amplitude between the stressed and well-watered plants are subtle, but the tendency suggests a negative effect of drought stress on the robustness of the circadian clock except for LHY1.2 (Tables 1, 2).
Expression of ELF3 and ELF4-like genes (EFLs) in Brachypodium roots seems not to be circadian
In our experiment, time course expression of BdELF3 and BdELF4-like genes differed markedly from that of what can be expected from classical clock genes. The BdELF3 expression showed a steady-state expression both in the roots and green plant parts under LD, LL and DD light conditions, and there wasn’t any difference in the gene expression as regards the two watering regimes. In the green plant parts, BdELF3 expression level was generally higher compared to the roots under LD and LL conditions, but the mean relative transcript amount for BdELF3 in constant dark was the same in the shoots and roots (Fig. 3a). Wave parameters for BdELF3 and BdELF4-like genes whit a lack of circadian regulation are presented in Supplementary Table S3.
Like BdELF3, BdELF4-like3 showed a flattened time-course expression profile, while hardly any kind of rhythm was detected in BdELF4-like3 transcript levels (Fig. 3b, Supplementary Table S3). Expression of BdELF4-likeA seems to be rhythmic either (Fig. 3c). It showed a faint oscillation in LD in the green plant parts with a peak around evening (ZT14, ZT38 and ZT62) in the well-watered samples, which is not in phase with BdLUX expression. The peak of BdEFL4-like3 seems to be shifted towards the middle of the night in the green parts under drought stress (ZT22, ZT46 and ZT66) although the amplitude is lower compared to the well-watered shoots. Oscillation of BdELF4-likeA was not sustained in LL. Although peaks in time course expression of BdELF4-likeA in constant dark can be disclosed in the green plant parts, it tends not to be periodic, thus indicating that BdELF4like-A might be diurnally regulated in the shoots (Supplementary Table S3). Interestingly, BdELF4-likeA did not oscillate in the roots at all and its expression level remained unchanged irrespective of water status or light conditions (Fig. 3c).
Similar to that of BdELF4-likeA, BdELF4-likeB expression only oscillated slightly in LD in the green plant parts, but water depletion had no effect on it. Some faint oscillation was detected in the well-watered green plant parts under LL conditions but not in the drought-stressed ones. Like that of BdELF4-likeA, expression of BdELF4-likeB was not rhythmic in the roots under any of our experimental conditions and water depletion had no effect on it (Fig. 3d and Supplementary Table S3). Generally speaking, ELF4-like genes in Brachypodium might have a marginal role in circadian regulation as their expression profile was not circadian. Although some faint rhythm was detected in time course expression in some rare cases, these exceptions might be negligible due to the extremely low expression maxima and because the oscillation was not maintained under constant conditions (LL or DD). MacKinnon et al. also reported that without cycling external conditions (light:dark cycles or high:low temperature cycles), Brachypodium ELF3 and ELF4like-A expression have no rhythm, thus leading to the assumption that temperature might have a stronger influence than photoperiod on the transcript periodicity of BdELF-family members44. Similar phenomena were reported for ELF4-like genes in Arabidopsis39. Similarities in expression patterns suggest that functions of BdELF4-like genes are closer to those of Arabidopsis EFL4-like genes rather than those of AtELF4.
Roots vs. green plant parts
In order to test the simultaneous effect of the three parameters (light conditions, watering conditions, and aerial parts vs. roots) on the average expression level of clock genes, we used two different statistical models; a linear regression and a linear regression combined with interacting parameters. Statistical test of the two models demonstrated significant interaction of the parameters for four clock genes: BdGI, BdPRR95, BdLUX and BdELF4-like B (Fig. 4 and Table 3). Comparison of mean expression levels showed that the mean expression levels of the core clock genes in the roots are significantly lower than in the green plant parts in most cases—such as BdPRR95 and BdLUX (Fig. 4b,c); consistent with low robustness. The only exception is BdGI, whose average expression level in the roots exceeds the values of the green plant parts (Fig. 4a). Moreover, water depletion elevated only the mean expression level of BdGI in the roots, especially in constant dark. The known role of Arabidopsis GI in drought tolerance and interplay between GI and ABA signaling56,57 might explain the rising effect of water depletion on the mean expression level of BdGI. However, we only observed this phenomenon in the roots, while BdGI responded to water depletion in green plant parts with a slight phase delay, thus suggesting that drought stress affects BdGI expression differently in different organs. Nevertheless, the mean expression levels of Brachypodium core clock genes in the roots are similar under all of the tested light conditions. In contrast, the mean expression levels of most clock genes—such as BdPRR95 and BdLUX—were elevated by light in the green plant parts. For example, the mean expression level of BdPRR95 is two times higher in LD and four times higher in LL compared to DD as regards the green plant parts (Fig. 4b). Irregular behavior was only found for BdELF family members (BdELF3 and BdELF4-like genes) (Fig. 4d).
The mean expression levels of the BdELF genes (including the BdELF3 and ELF4-like genes) were the highest in constant dark, and they decreased whit light input. As regards the BdELF4-like genes, the relative transcript amounts were similar under all the conditions and plant parts tested except for BdELF4-like B, whose mean expression level was elevated by water depletion in the roots in DD (Fig. 4d). Considering the high mean expression levels of BdELF-family genes in DD, it is possible that we could not observe rhythmic time course expression in LD as regards BdELFs due to long-day growing conditions and short nights. Reconciling the controversial time course expression profiles and relatively low mean expression levels of ELFs in Brachypodium with their evolutionary history, it is entirely possible that their functions differ from those of Arabidopsis ELF3 and ELF4. See Supplementary Figure S2 for results referring to the whole sets of core clock genes.
Period of BdPRR95 expression differs in the roots from that in the shoots in LD
The Arabidopsis PSEUDO-RESPONSE REGULATORS function sequentially as transcriptional repressors throughout the day in the following order: PRR9 (morning), PRR7 and PRR5 (afternoon), PRR3 (before evening) and TOC1/PRR1 (evening)3. For our time course expression analysis experiment to represent Brachypodium PRR family, BdPRR95 was selected since it has the less ambiguously predicted genomic environment and the fewest alternative transcript variants among PRRs in the Brachypodium genome database.
BdPPR95 in LD shows an oscillating expression profile with a sharp peak in the afternoon (ZT10, ZT34 and ZT58) in the shoots, while this peak appears around midday in the roots (ZT6, ZT30, ZT54 and ZT78) (Fig. 2a). BdPRR95 was scored as rhythmic both in the green plant parts and roots in LD, but the oscillation phase differed in the roots from that in the aerial parts. In the roots oscillation is weak, and amplitude is ten times lower relative to the green plant parts (Table 2). Water depletion has no effect on BdPRR95 expression either in the green plant parts nor in the roots in LD. Transcript profiles for the well-watered and stressed samples were in phase both in the green plant parts and the roots under LD conditions. In the shoots in LL, the BdPRR95 transcript level oscillated for three full cycles with a peak shifted to the afternoon (ZT10, ZT38 and ZT62), and this pattern was unaffected by water depletion. Some dampening was observed in the amplitude (Fig. 2a). In contrast to the green plant parts, BdPRR95 did not oscillate in the roots under LL conditions. However, the roots had a slightly elevated relative transcript amount under drought stress. In DD, BdPRR95 rhythm is less robust (the amplitude is smaller), and the phase was shifted to the beginning of subjective night (ZT14 and ZT46) in the green plant parts (Fig. 2a, Table 2). However, BdPRR95 expression continued oscillating in the shoots in DD for two more cycles irrespective of whether the plants were exposed to drought stress or not. In contrast, rhythm of BdPRR95 expression was not detected in the roots in DD either under well-watered or stressed conditions (Fig. 2a).
As far as the evening-phased clock genes are concerned, differences in clock gene expression between the green plant parts and roots are more pronounced compared to the morning-phased ones (Fig. 2). This suggests that transmission of a potential light-driven signal from shoots might be responsible for entraining the circadian clock in the roots and that the evening loop might work decoupled from the morning-phased clock genes in the roots. However, if the plants were exposed to drought stress, most of the clock genes preserved their rhythmic expression in the roots in continuous light. In general, clock genes seem to be more responsive to drought in the roots than in the green plant parts, as water depletion increased the amplitude or relative transcript amounts of many clock genes in the roots but not in the green plant parts.
Maintenance of circadian rhythm under constant light.
The phase of BdTOC1 expression pattern was opposite that of the BdLHY transcripts in consistent with the reciprocal regulation between TOC1 and LHY (Fig. 1c). Under physiological conditions (80% LD), the BdTOC1 expression peak was also in the middle of the evening (ZT14, ZT38 and ZT62) in the shoots and roots, and water depletion did not affect this rhythm. Although there was no difference between the green plant parts and roots in LD as regards the rhythm of BdTOC1 expression, the relative amplitude of oscillation was significantly higher in the green plant parts (Table 1). The effect of water depletion on BdTOC1 expression appeared under LL conditions. Oscillation of BdTOC1 expression was visible in shoots of the well-watered plants for three full cycles in constant light with some dampening, and the peak of expression was shifted towards the very end of subjective day (Fig. 1c). This dampening and phase shifting was less robust in the stressed green plant parts in LL. In roots of the well-watered plants, BdTOC1 expression rhythm disappeared quickly in LL. In contrast, BdTOC1 transcript profile preserved its free running rhythm for two more cycles in LL under drought stress in the roots (Fig. 1c). In green plant parts under DD, BdTOC1 showed a slightly rising expression with subtle oscillation, and there was no difference between the well-watered and stressed samples (Table 1). In the roots, BdTOC1 oscillation flattened rapidly with little variation between the well-watered and drought samples. As water depletion markedly affected BdTOC1 expression only in roots under LL, it might be assumed that there is an organ-specific effect of drought on BdTOC1 that depends on light (Fig. 1c).
The light intensity-dependent free running period of the circadian clock can be monitored in LL. Without the entraining signal of light:dark cycles the amplitude and RAE values of the Brachypodium circadian clock genes in LL are lower compared to LD, which is in consistent with general knowledge about the plant circadian clock7. In LL, BdTOC1 period was not detected in roots thus indicating a dampened clock function in that organ. In green plant parts, BdTOC1 transcript profile has a slightly longer period compared to that of BdLHY (25 h for BdLHY and 27 h for BdTOC1). However, in response to water deprivation, BdTOC1 transcript level and period decreased while that of BdLHY increased in the shoots, thus equalizing the difference in the period length between BdTOC1 and BdLHY (Table 1). A longer period was observed for all the clock genes (apart from BdELF3 and ELF4-like genes), suggesting that the internal period for Brachypodium might be longer than 24 h, consistent with MacKinnon and coworkers’ observations44. Period of BdGI expression in LL is significantly longer compared to other clock genes in well-watered plants, but water deprivation dampens this difference in period length between LL and LD. Some similar effects appeared for the free running period of BdTOC1, but drought stress has no effect on the period of BdPRR95 and LUX in LL. The phase values in LL are almost the same as those in LD with the difference that we also observed changes in phase of BdTOC1 expression in LL, in relation to the plant parts tested. It is common but not a principal that the longer period in LL is accompanied by phase delay. A modest phase-delay can be observed in the roots in the case of BdTOC1, while phase of BdLHY is earlier in the roots compared to the green plant parts (Table 1). Notwithstanding that both BdLHY1.1 and BdLHY1.2 responded to water depletion with a delayed expression peak, the phase delay caused by drought was only observed in LL in the case of BdLHY1.2. In parallel to this, considerable increasing in period as a consequence of drought stress appeared only in the case of BdLHY1.2.
In LD, there was little difference between the green plant parts and roots as regards the phase and period (Table 1). Nevertheless, rhythm in the roots was less robust. Expression of the core clock genes was synchronous in the roots to that of green plant parts in LD, but the relative transcript levels and amplitude of clock gene oscillation were remarkably lower in the roots. Differences between the shoots and roots in terms of rhythm of clock gene expression appeared in LL. In continuous light, most of the examined Brachypodium clock genes examined failed to carry on oscillating in roots if the plants were well watered. However, the oscillation of BdLHY in LL continued for two more cycles in the drought-stressed roots but not in the well-watered ones (Fig. 1a,b).
There were no differences between the expression pattern of the two BdLHY transcript variants as regards the phase and period (Fig. 1a,b and Table 1). In Arabidopsis, alternative splicing of the putative equivalent of CCA1 is mediated by stress conditions. Seo et al. demonstrated that alternative splicing of CCA1 is suppressed by cold, thus releasing the functional CCA1α from the competitive inhibition by CCA1β and promoting freezing tolerance in Arabidopsis37. Moreover, alternative splicing is supposed to be the “missing link” between the circadian clock and environmental stress adaptation in plants based on experiments which reported altered alternative splicing patterns of clock genes in Arabidopsis in response to changed photoperiod, temperature extremes and salt stress58. By comparing the average transcript levels of BdLHY1.2 and BdLHY1.1, we saw the same ratio in the well-watered and drought-stressed samples (Supplementary Fig. S1c). This indicates that it is the photoperiod, not water depletion that has an effect on the average transcript amount of BdLHY1.1 and BdLHY1.2. When plants were exposed to light, the average transcript amount of BdLHY1.1 was approximately three times higher in the green plant parts than that of BdLHY1.2 irrespective of watering status, thus confirming that BdLHY1.1 is the main transcript variant. However, there was no difference in the average transcript amounts of BdLHY transcript variants in the roots.
Maintenance of circadian rhythm under constant darkness
In DD, most of the clock parameters cannot be identified except for the phase due to the weakness and low amplitude of the circadian clock. Even estimation of phases is error-prone in constant darkness, as indicated by the high SD values. Nevertheless, the clock phase in DD is delayed in comparison to LD or LL, implying a relatively long clock period in constant dark—significantly longer than that of the circumstances when the circadian clock gets light input, similarly to Arabidopsis27 (Figs. 1, 2, Tables 1, 2).
Members of the central loop respond differently to water depletion in roots compared to the green plant parts under continuous light
Under long-day conditions, both transcript variants of BdLHY show oscillating expression patterns. the rhythm of the oscillation is the same in the roots and green plant parts with a peak at dawn (ZT2, ZT26, ZT50 and ZT74)—immediately after the set time point of dawn, which is essentially the same as those described for LHY and CCA1 in Arabidopsis59 (Fig. 1a,b). Although there is no significant difference between the green plant parts and roots as regards the phase of BdLHY expression, the relative transcript level and amplitude are significantly lower in the roots (Table 1). Relative transcript amount of both BdLHY transcript variants at the peaks of expression is approximately six times higher in the shoots than in the roots, independently of water status. Water depletion seems to only have a subtle effect on BdLHY expression in LD. However, under drought conditions, both transcript variants of BdLHY have lower amplitude compared to the well-watered samples in green plant parts, while the amplitude of the oscillation remained at the level of the well-watered samples or even a bit higher in the stressed roots (Table 1). The difference between roots and green plant parts in response to water limitation as regards the BdLHY expression is more obvious in LL (Fig. 1a,b). One of the most important criteria for proving circadian regulation is the maintenance of rhythmic expression for a while in the absence of entraining signal—such as periodic lighting—under constant conditions with a period of about 24 h (a so-called free running rhythm)1. In the green plant parts, BdLHY continues oscillating in LL with decreasing amplitude and a subtle shift in its period to ~ 26 h. The free running rhythm of BdLHY expression in LL was independent of watering conditions in the green plant parts. However, oscillating expression of BdLHY in the roots in LL was only maintained in response to water depletion for a longer period (~ 27 h) compared to the green plant parts (Table 1). Oscillating expression of BdLHY was not detectable in the well-watered root samples after 24 h of continuous light.
In order to test if this phenomenon is related entirely to water depletion or might be light-driven, we also measured BdLHY1.1 and BdLHY1.2 expression during three-and-a half days of constant darkness (DD). Rhythmic expression of both BdLHY transcript variants continued in darkness at a lower amplitude, and a two-hour phase shift appeared in the shoots. Drought stress had no visible impact on BdLHY expression in DD in the green plant parts. Interestingly, the oscillation of BdLHY expression was not detectable either in the stressed roots or in the well-watered ones in DD even though both BdLHY transcripts showed an elevated relative transcript amount in drought. This suggests that the oscillation of BdLHY in roots depends on light, but water depletion enhances it (Fig. 1a,b).
Water depletion acts differently on GI and LUX expression
Evening loop components [GI, LUX and EARLY FLOWERING genes (ELF3 and ELF4)] provide a direct link for the central loop towards the pleiotropic outputs of the circadian system. As they form a common regulation platform, their expression patterns are strictly overlapping with an expression maximum around the beginning of subjective night5.
Consonant to the expectations, the peak of BdGI expression is in the afternoon (ZT10, ZT34 and ZT58) in the well-watered shoots in LD. However, the expression peak of BdGI shifted by 4 h (ZT14, ZT48 and ZT58-62) in the green plant parts under LD in response to water depletion. The shape of the time course expression curve of BdGI in the roots was less robust compared to the green plant parts but oscillating under LD conditions. Intriguingly, the phase of BdGI expression in the shoots seemed to be delayed relative to its rhythm in the roots. In the well-watered roots in LD, expression peak of BdGI appeared 4 h earlier compared to the well-watered shoots (ZT6, ZT30 and ZT54). In the drought-stressed roots, this peak was shifted to the afternoon (ZT10, ZT34 and Z58) in LD (Fig. 2b). Water limitation had no influence on the relative quantity of the BdGI transcripts in the green plant parts. However, in the stressed roots, BdGI had a slightly elevated relative transcript amount in comparison to the well-watered roots. In LL and DD, expression pattern of BdGI oscillates for three further cycles with dampening amplitude in the shoots. Water status affected neither the free running phase nor the amplitude of BdGI expression in the shoots under LL and DD, although the average transcript level was significantly lower in DD compared to LL. In the well-watered roots, BdGI shows a long-drawn and slightly rhythmic expression in LL and does not oscillate at all in DD (Table 2). Under limited water conditions, BdGI had no free running rhythm in the roots either in LL or in DD, but the average expression level was higher compared to the well-watered conditions (Fig. 2b).
BdLUX expression was in phase with the expression of BdGI in the green plant parts under LD, LL and DD conditions, but phase shifting in response to drought stress was not observable (Fig. 1c). In point of fact, water depletion had no visible effect on BdLUX expression in the shoots in any of the lighting conditions (Table 2). Compared to the green plant parts, oscillation of BdLUX transcripts in the roots was not detectable under any of the conditions except for a very slight oscillation under drought stress in LL, suggesting that intensive loss of water in LL might promote cyclic expression of LUX in Brachypodium roots (Fig. 2c).
Discussion
Timing of biological processes to the daily rotation of the Earth with an endogenous oscillator provides a highly adaptive evolutionary advantage for all living organisms. Plants possess an endogenous circadian clock consisting of plant-specific elements for temporal regulation of vital processes, for example, photosynthesis, stomatal movements, stem elongation, flowering, hormone responses, stress tolerance, and so on. Studies of species other than Arabidopsis, such as cereals (rice, barley and wheat), have shown the high conservation of the plant circadian clock but have simultaneously highlighted some fundamental differences60. Experiments on the circadian clock in agriculturally important plants have gained increasing popularity, since the circadian clock contributes greatly to grain yield and stress tolerance61.
In our study, we aimed to provide a comprehensive picture of the clock gene expression of a monocot model Brachypodium distachyon with a special emphasis on roots and drought response. Monitoring the relative transcript amount of core clock genes in green plant parts demonstrated a high correspondence in their rhythm to that of their Arabidopis counterparts with the exception of ELF3 and ELF4-like genes. In Arabidopsis, the expression of AtELF3 and AtELF4 is regulated rhythmically with a peak at dusk. Forming the evening protein complex in common with LUX, both ELF3 and ELF4 are required for sustaining endogenous rhythms in the absence of light/dark cycles, which have a crucial function in the circadian gating of growth promoting transcription factors and in setting flowering time, among others62,63,64. Knowing the central role of ELFs, it is surprising that ELF family members seem the most controversial in monocots in terms of the evolutionary history and functional homology. For example, a key structural difference is the absence of a prion-like domain in Brachypodium ELF3. This domain is responsible for reversible inactivation of ELF3 at high temperature in Arabidopsis, but its sequence was not predicted in Brachypodium, indicating a role for BdELF3 which is distinct from its Arabidopsis counterpart65. Despite structural differences, BdELF3 was able to restore the function of AtELF3 in hypocotyl elongation, clock rhythm and flowering in cross-species complementation experiments, thus indicating a conserved role of ELF3 across the monocot/eudicot lineage43. The role of BdELF3 in regulating clock gene expression, photoperiod sensing and flower induction was also confirmed within Brachypodium Bd21-3 accession, providing further evidence for functional conservancy66. However, at a high temperature (27 °C), BdELF3 was unable to complement the thermally responsive early flowering phenotype of Arabidopsis elf3 mutants65. As regards ELF4-like genes, there are no obvious orthologues of Arabidopsis ELF4 in Brachypodium (or other grasses), but putative counterparts (the ELF4-like genes) have not yet been functionally characterized. Detailed characterization of Brachypodium ELF-like family genes was not among our objectives, but examining their time course expression profile under different light conditions might shed light on functional similarities and differences. However, this does not necessarily mean that BdELF3 and BdELF4-like genes have no effect on the circadian clock at all (consider the complementary ability of BdELF3 of the clock function of Arabidopsis elf3 mutants66). Most of the Brachypodium clock components show high sequence similarity to Arabidopsis clock proteins. On the other hand, behavior of the Brachypodium clock genes in shoots has previously been reported as being very similar to that of Arabidopsis44,45,67,68. Despite differences in plant growing conditions, our experimental data are entirely consistent with the studies noted above; leading us to the conviction that the Brachypodium circadian clock works on a conserved manner.
Based on the estimated clock parameters, we can conclude that behavior of the Brachypodium circadian clock follows the general principles of plant circadian mechanisms. Robustness is significantly greater in green plant parts than in roots. Water depletion affects both the period and phase of the circadian clock, mainly in the roots. However, the strength and direction of changes in period and amplitude caused by drought differ among clock genes. This implies that feedback regulation between clock loops loses its strength and is slightly decoupled if water supply is limited. It is worth noting that a low number of biological replications (n = 2) makes the estimation of clock parameters ambiguous.
To sum up, it can be stated that the behavior of Brachypodium clock genes in green plant parts meets the expectations based on the known expression profiles of their Arabidopsis counterparts. This strengthens the generally accepted concept of functional conservation of clock genes among wide ranges of plant species. Generally speaking, the period of clock gene expression was persistent with the lack of entraining light: dark signals in Brachypodium, and it was longer in constant dark (DD) compared to continuous light (LL) in the green plant parts in accordance with Aschoff’s rule69. A dampening of amplitude is clearly visible in DD, consistent with Dalchau and coworkers’ report70. Water depletion had a negligible effect on clock gene expression in the green plant parts.
Previously, it was widely assumed that the circadian clock functions uniformly throughout the plant71. However, the concept of a generalized plant circadian clock has been reconsidered owing to experiments on tissue-specific aspects of the circadian clock, which reported that the clock can be sensitive to different cues, runs at different speeds, and drives distinct processes in different cell types, thus providing flexibility for regulating such a range of developmental and physiological processes as a master conductor20,22,72. Tissue specificity of the circadian clock is mainly concluded on the basis of experimenting with different green plant parts and tissues. Differences in expression patterns of clock genes in roots and shoots were revealed in Arabidopsis in detail, indicating a different operation of the circadian clock in roots25,27. James et al.27 reported that the period of clock gene expression in Arabidopsis roots in LD was exactly in phase with the shoots except for ELF3, which oscillated only in the shoots. However, the phase of clock gene expression was longer in Arabidopsis roots than that in the shoots in constant light, although the organs were synchronized in LD and no evidence was found for rhythmic expression of evening-phased clock genes in the roots in LL. They showed that the period of LHY1, CCA1, PRR7 and PRR9 expression shifted by two hours in Arabidopsis roots in constant light, while the transcripts of TOC1, GI, LUX, PRR3, PRR5, ELF3 and ELF4 only oscillated in the shoots. In the shoots, period of clock gene expression is usually longer in DD than in LL. However, James et al.27 found that periods in LL and DD were similar in the roots although lower amplitude in dark-grown roots made rhythms more difficult to be detected. Based on these observations, they concluded that the morning-phased loop of the clock is in operation but that the genes in the central and evening-phased loops are decoupled from CCA1 and LHY expression in Arabidopsis roots. They assumed that the clock in the shoots and roots has similar compositions but different dynamic properties. The circadian clock in Arabidopsis roots might thus be a simplified slave version of the clock in the shoots. It is more than likely that the evening complex (EC) is responsible for the differences in circadian rhythm in Arabidopsis shoots and roots through different sensitivity to environmental inputs73.
Experimental conditions we used differ from those of James et al.27, but our results are consistent with theirs. The behavior of core clock genes in mature Brachypodium roots at the level of the whole organ was similar to that of Arabidopsis suggesting that the concept of a simplified root clock can also be applied to Brachypodium and strengthening the hypothesis that the plant circadian clock might be organ-specific but not organ-autonomous. There have previously been no comprehensive reports on clock genes in monocot roots. Our results indicate that the circadian clock might act similarly in monocot and dicot roots in spite of major differences both in the architecture and structure of their root systems74.
Entraining signal for the circadian clock in roots is under debate. Takahashi et al.24 suppose that the clock in shoot apex cells synchronizes the circadian rhythm of roots via direct intercellular communication, which makes the root rhythm dampen rapidly after excision of the apex. James et al.27 reasoned that this shoot-driven entraining signal might be related to shoot photosynthetic metabolism and that the signal is transmitted between the organs under LD conditions. Sucrose or a derivative is proposed as a photosynthesis-related signal for entraining the circadian clock in roots27, but it has also been demonstrated that roots can perceive very low-intensity red light via phytocrhome B, which is capable of directly setting the circadian rhythm of the roots25,73,75. Moreover, the root clock seems to be entrained by light in preference to shoot-derived signals76. On the other hand, most recent studies have demonstrated that ELF4 is transported from the shoots to the roots in Arabidopsis, thus regulating the rhythm of the circadian clock in the roots in a temperature-dependent manner77. The role of the evening complex in direct integration of environmental signals—particularly temperature cues—into rhythmic endogenous gene expression programs is known in Arabidopsis shoots78, and trafficking of ELF4 from aerial parts to the roots might have a crucial function in delivering temperature information from the shoots towards the circadian clock in the roots. Investigating the courier function of ELF4 between shoots and roots in relation to drought stress would be interesting. Moreover, a clock component with the same messenger role in monocots would be worth identifying as monocot plants lack the true homologue of AtELF4.
It was far beyond our scope to identify the entraining signal for root circadian rhythm. We made an effort to reveal how water limitation modulates the circadian clock in roots. Effects of the time of day on the Arabidopsis growth dynamic and transcriptome in response to drought are evident, but mild drought stress has no reported effects on the expression of core clock genes17,18. However, these observations refer to rosette leaves, and there are no experimental data on roots. Here we demonstrate that water depletion has a noticable effect on the circadian clock in roots but not in green plant parts. Under LD conditions, the rhythm of clock genes in the drought-stressed root samples did not differ from the well-watered ones; however, in constant light, many core clock genes, such as BdLHY, BdGI and BdLUX, showed elevated relative transcript amounts and preserved their oscillating expression in the roots under drought conditions. Among core clock genes, BdTOC1 expression was mostly affected by water depletion in the roots in LL in its expression level but not in its phase. Namely, free running oscillation of BdTOC1 was only visible in the roots in response to water depletion under continuous light. In contrast, water depletion had little effect on the free running period of BdTOC1 in the green plant parts, thus indicating an organ-specific effect of drought on the circadian clock. Notwithstanding that BdTOC1 expression was less affected by drought in the green plant parts, sensitivity of BdTOC1 to water depletion implies a role in drought stress responses. In Arabidopsis TOC1 has been reported as a molecular linkage between circadian clock and drought responses, since TOC1 has a confirmed reciprocal relation to ABA signaling79,80.
These observations raise the question of whether water status can serve as an entraining environmental signal for the circadian clock in the roots or vice versa. Oscillation of hydraulic conductance and circadian regulation of water dynamics via rhythmic expression of aquaporins in Arabidopsis roots suggests reciprocal regulation between water status and circadian regulation81,82. In addition, the rhythm of hydraulic conductance and growth was enhanced by drought in Arabidopsis. Dynamic regulation of water status by the circadian clock in shoots is important in toleration of water deprivation. However, the contribution of the circadian regulation of water status in roots to drought adaptation is still unknown. Moreover, biological relevance of circadian oscillations in roots has only started to be explored. Rust et al.83 reported that AtCCA1 overexpression caused strong repression of lateral root formation and unusual changes in growth direction of lateral roots accompanied by increased lateral extension of the root architecture in LD. They observed the same aberrations in the Arabidopsis prr975 triple mutant. According to recent studies, proliferation of root cells is mediated by PRR5,7,9 through repression of a zinc-finger protein central to root development84. Recent reports have demonstrated a resetting of the circadian clock during lateral root formation and confirmed oscillation of core clock genes in lateral root primordia85. Furthermore, GI controls auxin level and expression of auxin-related genes and is a positive regulator of the central pathway for lateral root initiation (the so-called “IAA14-ARF7-LBD16” module)86.
Periodically marking the time and place of a set of xylem pericycle cells to be selected for priming lateral root emergence by oscillating gene expression in the region close to the primary root tip pointed to the dynamic and rhythmic nature of lateral root formation87. Identifying the connection of this biological clock termed as a “root clock” to the circadian clock might shed light on the direct contribution of the circadian clock to root development. It might be interesting to investigate the relation of drought stress-induced developmental changes in roots to the connection between the circadian clock and the “root clock”. However, these are some of the unexplored areas of circadian clock and root development research.
Data availability
All related data are available in the form of electronic supplementary materials (Supplementary File 1).
References
McClung, C. R. Plant circadian rhythms. Plant Cell 18, 792–803. https://doi.org/10.1105/tpc.106.040980 (2006).
Hsu, P. Y. & Harmer, S. L. Wheels within wheels: The plant circadian system. Trends Plant Sci. 19, 240–249. https://doi.org/10.1016/j.tplants.2013.11.007 (2014).
Matsushika, A., Makino, S., Kojima, M. & Mizuno, T. Circadian waves of expression of the APRR1/TOC1 family of pseudo-response regulators in Arabidopsis thaliana: Insight into the plant circadian clock. Plant Cell Physiol. 41, 1002–1012. https://doi.org/10.1093/pcp/pcd043 (2000).
McClung, C. R. Wheels within wheels: new transcriptional feedback loops in the Arabidopsis circadian clock. F1000Prime Rep. 6, 2–2. https://doi.org/10.12703/P6-2 (2014).
Huang, H. & Nusinow, D. A. Into the evening: Complex interactions in the Arabidopsis circadian clock. Trends Genet. 32, 674–686. https://doi.org/10.1016/j.tig.2016.08.002 (2016).
McClung, C. R. The plant circadian oscillator. Biology 8, 14. https://doi.org/10.3390/biology8010014 (2019).
Sanchez, S. E. & Kay, S. A. The plant circadian clock: From a simple timekeeper to a complex developmental manager. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a027748 (2016).
Sanchez, A., Shin, J. & Davis, S. J. Abiotic stress and the plant circadian clock. Plant Signal. Behav. 6, 223–231. https://doi.org/10.4161/psb.6.2.14893 (2011).
Seo, P. J. & Mas, P. STRESSing the role of the plant circadian clock. Trends Plant Sci. 20, 230–237. https://doi.org/10.1016/j.tplants.2015.01.001 (2015).
Goodspeed, D., Chehab, E. W., Covington, M. F. & Braam, J. Circadian control of jasmonates and salicylates. Plant Signal. Behav. 8, e23123. https://doi.org/10.4161/psb.23123 (2013).
Wang, W. et al. Timing of plant immune responses by a central circadian regulator. Nature 470, 110–114. https://doi.org/10.1038/nature09766 (2011).
Baldwin, I. T. & Meldau, S. Just in time. Plant Signal. Behav. 8, e24410. https://doi.org/10.4161/psb.24410 (2013).
Seung, D., Risopatron, J. P. M., Jones, B. J. & Marc, J. Circadian clock-dependent gating in ABA signalling networks. Protoplasma 249, 445–457. https://doi.org/10.1007/s00709-011-0304-3 (2012).
Covington, M. F., Maloof, J. N., Straume, M., Kay, S. A. & Harmer, S. L. Global transcriptome analysis reveals circadian regulation of key pathways in plant growth and development. Genome Biol. 9, R130. https://doi.org/10.1186/gb-2008-9-8-r130 (2008).
Grundy, J., Stoker, C. & Carré, I. A. Circadian regulation of abiotic stress tolerance in plants. Front. Plant Sci. https://doi.org/10.3389/fpls.2015.00648 (2015).
Thomashow, M. F. Molecular basis of plant cold acclimation: Insights gained from studying the CBF cold response pathway. Plant Physiol. 154, 571–577. https://doi.org/10.1104/pp.110.161794 (2010).
Dubois, M., Claeys, H., Van den Broeck, L. & Inzé, D. Time of day determines Arabidopsis transcriptome and growth dynamics under mild drought. Plant Cell Environ. 40, 180–189. https://doi.org/10.1111/pce.12809 (2017).
Wilkins, O., Bräutigam, K. & Campbell, M. M. Time of day shapes Arabidopsis drought transcriptomes. Plant J. 63, 715–727. https://doi.org/10.1111/j.1365-313X.2010.04274.x (2010).
Pruneda-Paz, J. L. & Kay, S. A. An expanding universe of circadian networks in higher plants. Trends Plant Sci. 15, 259–265. https://doi.org/10.1016/j.tplants.2010.03.003 (2010).
Endo, M. Tissue-specific circadian clocks in plants. Curr. Opin. Plant Biol. 29, 44–49. https://doi.org/10.1016/j.pbi.2015.11.003 (2016).
Yakir, E. et al. Cell autonomous and cell-type specific circadian rhythms in Arabidopsis. Plant J. 68, 520–531. https://doi.org/10.1111/j.1365-313X.2011.04707.x (2011).
Greenwood, M. & Locke, J. C. W. The circadian clock coordinates plant development through specificity at the tissue and cellular level. Curr. Opin. Plant Biol. 53, 65–72. https://doi.org/10.1016/j.pbi.2019.09.004 (2020).
Endo, M., Shimizu, H., Nohales, M. A., Araki, T. & Kay, S. A. Tissue-specific clocks in Arabidopsis show asymmetric coupling. Nature 515, 419–422. https://doi.org/10.1038/nature13919 (2014).
Takahashi, N., Hirata, Y., Aihara, K. & Mas, P. A hierarchical multi-oscillator network orchestrates the Arabidopsis circadian system. Cell 163, 148–159. https://doi.org/10.1016/j.cell.2015.08.062 (2015).
Bordage, S., Sullivan, S., Laird, J., Millar, A. J. & Nimmo, H. G. Organ specificity in the plant circadian system is explained by different light inputs to the shoot and root clocks. New Phytol. 212, 136–149. https://doi.org/10.1111/nph.14024 (2016).
Fukuda, H., Ukai, K. & Oyama, T. Self-arrangement of cellular circadian rhythms through phase-resetting in plant roots. Phys. Rev. E 86, 041917. https://doi.org/10.1103/PhysRevE.86.041917 (2012).
James, A. B. et al. The circadian clock in Arabidopsis roots is a simplified slave version of the clock in shoots. Science 322, 1832–1835. https://doi.org/10.1126/science.1161403 (2008).
Calixto, C. P. G., Waugh, R. & Brown, J. W. S. Evolutionary relationships among barley and Arabidopsis core circadian clock and clock-associated genes. J. Mol. Evol. 80, 108–119. https://doi.org/10.1007/s00239-015-9665-0 (2015).
McClung, C. R. Beyond Arabidopsis: The circadian clock in non-model plant species. Semin. Cell Dev. Biol. 24, 430–436. https://doi.org/10.1016/j.semcdb.2013.02.007 (2013).
Holloway-Phillips, M. Improving crop water-use efficiency requires optimizing the circadian clock. Plant Physiol. 183, 29. https://doi.org/10.1104/pp.20.00405 (2020).
Simon, N. M. L., Graham, C. A., Comben, N. E., Hetherington, A. M. & Dodd, A. N. The circadian clock influences the long-term water use efficiency of Arabidopsis. Plant Physiol. 183, 317–330. https://doi.org/10.1104/pp.20.00030 (2020).
Filichkin, S. A. et al. Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules. PLoS ONE 6, e16907. https://doi.org/10.1371/journal.pone.0016907 (2011).
Vogel J. B. J. Brachypodium distachyon, a New Model for the Triticeae, vol. 7 (Springer, 2009).
Higgins, J. A., Bailey, P. C. & Laurie, D. A. Comparative genomics of flowering time pathways using Brachypodium distachyon as a model for the temperate grasses. PLoS ONE 5, e10065. https://doi.org/10.1371/journal.pone.0010065 (2010).
Filichkin, S. A. et al. Genome-wide mapping of alternative splicing in Arabidopsis thaliana. Genome Res. 20, 45–58. https://doi.org/10.1101/gr.093302.109 (2010).
Park, M.-J., Seo, P. J. & Park, C.-M. CCA1 alternative splicing as a way of linking the circadian clock to temperature response in Arabidopsis. Plant Signal. Behav. 7, 1194–1196. https://doi.org/10.4161/psb.21300 (2012).
Seo, P. J. et al. A self-regulatory circuit of CIRCADIAN CLOCK-ASSOCIATED1 underlies the circadian clock regulation of temperature responses in Arabidopsis. Plant Cell 24, 2427–2442. https://doi.org/10.1105/tpc.112.098723 (2012).
Tian, L. et al. Alternative splicing of ZmCCA1 mediates drought response in tropical maize. PLoS ONE 14, e0211623. https://doi.org/10.1371/journal.pone.0211623 (2019).
Kolmos, E. et al. Integrating ELF4 into the circadian system through combined structural and functional studies. HFSP J. 3, 350–366. https://doi.org/10.2976/1.3218766 (2009).
Lin, K., Zhao, H., Gan, S. & Li, G. Arabidopsis ELF4-like proteins EFL1 and EFL3 influence flowering time. Gene 700, 131–138. https://doi.org/10.1016/j.gene.2019.03.047 (2019).
Murakami, M., Tago, Y., Yamashino, T. & Mizuno, T. Comparative overviews of clock-associated genes of Arabidopsis thaliana and Oryza sativa. Plant Cell Physiol. 48, 110–121. https://doi.org/10.1093/pcp/pcl043 (2007).
Khan, S., Rowe, S. C. & Harmon, F. G. Coordination of the maize transcriptome by a conserved circadian clock. BMC Plant Biol. 10, 126. https://doi.org/10.1186/1471-2229-10-126 (2010).
Huang, H. et al. Cross-species complementation reveals conserved functions for EARLY FLOWERING 3 between monocots and dicots. Plant Direct 1, e00018. https://doi.org/10.1002/pld3.18 (2017).
MacKinnon, K. J. M. et al. Changes in ambient temperature are the prevailing cue in determining Brachypodium distachyon diurnal gene regulation. New Phytol. 227, 1709–1724. https://doi.org/10.1111/nph.16507 (2020).
Matos, D. A. et al. Daily changes in temperature, not the circadian clock, regulate growth rate in Brachypodium distachyon. PLoS ONE 9, e100072. https://doi.org/10.1371/journal.pone.0100072 (2014).
Garvin, D. F. et al. Development of genetic and genomic research resources for Brachypodium distachyon, a new model system for grass crop research. Crop Sci. 48, S-69-S−84. https://doi.org/10.2135/cropsci2007.06.0332tpg (2008).
Hong, S.-Y., Park, J.-H., Cho, S.-H., Yang, M.-S. & Park, C.-M. Phenological growth stages of Brachypodium distachyon: Codification and description. Weed Res. 51, 612–620. https://doi.org/10.1111/j.1365-3180.2011.00877.x (2011).
Jaakola, L., Pirttilä, A. M., Halonen, M. & Hohtola, A. Isolation of high quality RNA from bilberry (Vaccinium myrtillus L.) fruit. Mol. Biotechnol. 19, 201–203. https://doi.org/10.1385/MB:19:2:201 (2001).
Gombos, M. et al. Characterization of the LBD gene family in Brachypodium: A phylogenetic and transcriptional study. Plant Cell Rep. 36, 61–79. https://doi.org/10.1007/s00299-016-2057-0 (2017).
Svec, D., Tichopad, A., Novosadova, V., Pfaffl, M. W. & Kubista, M. How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments. Biomol. Detect. Quant. 3, 9–16. https://doi.org/10.1016/j.bdq.2015.01.005 (2015).
Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT method. Methods 25, 402–408. https://doi.org/10.1006/meth.2001.1262 (2001).
Hong, S.-Y., Seo, P. J., Yang, M.-S., Xiang, F. & Park, C.-M. Exploring valid reference genes for gene expression studies in Brachypodium distachyonby real-time PCR. BMC Plant Biol. 8, 112. https://doi.org/10.1186/1471-2229-8-112 (2008).
Edwards, K. D. et al. Quantitative analysis of regulatory flexibility under changing environmental conditions. Mol. Syst. Biol. 6, 424. https://doi.org/10.1038/msb.2010.81 (2010).
Locke, J. C. W. et al. Extension of a genetic network model by iterative experimentation and mathematical analysis. Mol. Syst. Biol. 1, 2005.0013. https://doi.org/10.1038/msb4100018 (2005).
Zielinski, T., Moore, A. M., Troup, E., Halliday, K. J. & Millar, A. J. Strengths and limitations of period estimation methods for circadian data. PLoS ONE 9, e96462. https://doi.org/10.1371/journal.pone.0096462 (2014).
Riboni, M., Robustelli Test, A., Galbiati, M., Tonelli, C. & Conti, L. ABA-dependent control of GIGANTEA signalling enables drought escape via up-regulation of FLOWERING LOCUS T in Arabidopsis thaliana. J. Exp. Bot. 67, 6309–6322. https://doi.org/10.1093/jxb/erw384 (2016).
Baek, D. et al. The GIGANTEA-ENHANCED EM LEVEL complex enhances drought tolerance via regulation of abscisic acid synthesis. Plant Physiol. 184, 443. https://doi.org/10.1104/pp.20.00779 (2020).
Kwon, Y.-J., Park, M.-J., Kim, S.-G., Baldwin, I. T. & Park, C.-M. Alternative splicing and nonsense-mediated decay of circadian clock genes under environmental stress conditions in Arabidopsis. BMC Plant Biol. 14, 136. https://doi.org/10.1186/1471-2229-14-136 (2014).
Mizoguchi, T. et al. LHY and CCA1 are partially redundant genes required to maintain circadian rhythms in Arabidopsis. Dev. Cell 2, 629–641. https://doi.org/10.1016/S1534-5807(02)00170-3 (2002).
Song, Y. H., Ito, S. & Imaizumi, T. Similarities in the circadian clock and photoperiodism in plants. Curr. Opin. Plant Biol. 13, 594–603. https://doi.org/10.1016/j.pbi.2010.05.004 (2010).
Bendix, C., Marshall, C. M. & Harmon, F. G. Circadian clock genes universally control key agricultural traits. Mol. Plant 8, 1135–1152. https://doi.org/10.1016/j.molp.2015.03.003 (2015).
Doyle, M. R. et al. The ELF4 gene controls circadian rhythms and flowering time in Arabidopsis thaliana. Nature 419, 74–77. https://doi.org/10.1038/nature00954 (2002).
Hicks, K. A., Albertson, T. M. & Wagner, D. R. EARLY FLOWERING3 encodes a novel protein that regulates circadian clock function and flowering in Arabidopsis. Plant Cell 13, 1281–1292. https://doi.org/10.1105/tpc.010070 (2001).
Nusinow, D. A. et al. The ELF4–ELF3–LUX complex links the circadian clock to diurnal control of hypocotyl growth. Nature 475, 398–402. https://doi.org/10.1038/nature10182 (2011).
Jung, J.-H. et al. A prion-like domain in ELF3 functions as a thermosensor in Arabidopsis. Nature 585, 256–260. https://doi.org/10.1038/s41586-020-2644-7 (2020).
Bouché, F. et al. EARLY FLOWERING 3 and photoperiod sensing in Brachypodium distachyon. Front. Plant Sci. 12, 769194. https://doi.org/10.3389/fpls.2021.769194 (2021).
Hong, S.-Y., Lee, S., Seo, P. J., Yang, M.-S. & Park, C.-M. Identification and molecular characterization of a Brachypodium distachyon GIGANTEA gene: Functional conservation in monocot and dicot plants. Plant Mol. Biol. 72, 485–497. https://doi.org/10.1007/s11103-009-9586-7 (2010).
Koda, S. et al. Diurnal transcriptome and gene network represented through sparse modeling in Brachypodium distachyon. Front. Plant Sci. https://doi.org/10.3389/fpls.2017.02055 (2017).
Aschoff, J. E. Handbook of Behavioral Neurobiology, vol. 4 (Plenum Publishing Corporation, 1981).
Dalchau, N. et al. Correct biological timing in Arabidopsis requires multiple light-signaling pathways. Proc. Natl. Acad. Sci. 107, 13171. https://doi.org/10.1073/pnas.1001429107 (2010).
Jolma, I. W., Laerum, O. D., Lillo, C. & Ruoff, P. Circadian oscillators in eukaryotes. WIREs Syst. Biol. Med. 2, 533–549. https://doi.org/10.1002/wsbm.81 (2010).
Thain, S. C., Murtas, G., Lynn, J. R., McGrath, R. B. & Millar, A. J. The circadian clock that controls gene expression in arabidopsis is tissue specific. Plant Physiol. 130, 102–110. https://doi.org/10.1104/pp.005405 (2002).
Nimmo, H. G., Laird, J., Bindbeutel, R. & Nusinow, D. A. The evening complex is central to the difference between the circadian clocks of Arabidopsis thaliana shoots and roots. Physiol. Plant. 169, 442–451. https://doi.org/10.1111/ppl.13108 (2020).
Smith, S. & Smet, I. D. Root system architecture: Insights from Arabidopsis and cereal crops. Philos. Trans. R. Soc. B Biol. Sci. 367, 1441–1452. https://doi.org/10.1098/rstb.2011.0234 (2012).
Nimmo, H. G. Entrainment of Arabidopsis roots to the light:dark cycle by light piping. Plant Cell Environ. 41, 1742–1748. https://doi.org/10.1111/pce.13137 (2018).
Lee, H. G. & Seo, P. J. Dependence and independence of the root clock on the shoot clock in Arabidopsis. Genes Genom. 40, 1063–1068. https://doi.org/10.1007/s13258-018-0710-4 (2018).
Chen, W. W. et al. A mobile ELF4 delivers circadian temperature information from shoots to roots. Nat. Plants 6, 416–426. https://doi.org/10.1038/s41477-020-0634-2 (2020).
Ezer, D. et al. The evening complex coordinates environmental and endogenous signals in Arabidopsis. Nat. Plants 3, 17087. https://doi.org/10.1038/nplants.2017.87 (2017).
Castells, E., Portolés, S., Huang, W. & Mas, P. A functional connection between the clock component TOC1 and abscisic acid signaling pathways. Plant Signal. Behav. 5, 409–411. https://doi.org/10.4161/psb.5.4.11213 (2010).
Legnaioli, T., Cuevas, J. & Mas, P. TOC1 functions as a molecular switch connecting the circadian clock with plant responses to drought. EMBO J. 28, 3745–3757. https://doi.org/10.1038/emboj.2009.297 (2009).
Caldeira, C. F., Jeanguenin, L., Chaumont, F. & Tardieu, F. Circadian rhythms of hydraulic conductance and growth are enhanced by drought and improve plant performance. Nat. Commun. 5, 5365. https://doi.org/10.1038/ncomms6365 (2014).
Takase, T. et al. The circadian clock modulates water dynamics and aquaporin expression in Arabidopsis roots. Plant Cell Physiol. 52, 373–383. https://doi.org/10.1093/pcp/pcq198 (2010).
Ruts, T., Matsubara, S., Wiese-Klinkenberg, A. & Walter, A. Aberrant temporal growth pattern and morphology of root and shoot caused by a defective circadian clock in Arabidopsis thaliana. Plant J. 72, 154–161. https://doi.org/10.1111/j.1365-313X.2012.05073.x (2012).
Rodriguez, M., Parola, R., Andreola, S., Pereyra, C. & Martínez-Noël, G. TOR and SnRK1 signaling pathways in plant response to abiotic stresses: Do they always act according to the “yin-yang” model?. Plant Sci. 288, 110220. https://doi.org/10.1016/j.plantsci.2019.110220 (2019).
Voß, U. et al. The circadian clock rephases during lateral root organ initiation in Arabidopsis thaliana. Nat. Commun. 6, 7641. https://doi.org/10.1038/ncomms8641 (2015).
Singh, A. GIGANTEA regulates lateral root formation by modulating auxin signaling in Arabidopsis thaliana. Plant Signal. Behav. 17, 2096780. https://doi.org/10.1080/15592324.2022.2096780 (2022).
Xuan, W., De Gernier, H. & Beeckman, T. The dynamic nature and regulation of the root clock. Development 147, dev181446. https://doi.org/10.1242/dev.181446 (2020).
Funding
Open access funding provided by ELKH Biological Research Center. The research presented here was financially supported by a Hungarian Governmental Grant (GINOP-2.3.2-15-2016-00001) and by National Research, Development and Innovation Office (OTKA K-132486).
Author information
Authors and Affiliations
Contributions
All the authors contributed to the study conception and design. The following authors prepared plant material, collected and analyzed the data: M.G., N.H., E.K. and J.G. Z.Z. and G.G. contributed to the data evaluation and statistical analysis. M.G. and J.G. planned the experiments and interpreted the results. Special thanks to L.K.-B. for the phase, amplitude and period time estimations. J.G. coordinated and supervised the project and participated in the manuscript revision. The first draft of the manuscript was written by M.G., and all the authors commented on previous versions of the manuscript. All the authors read and approved the final manuscript. Special thanks to Thomas Williams PhD for language proofreading and grammatical correction of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Gombos, M., Hapek, N., Kozma-Bognár, L. et al. Limited water stress modulates expression of circadian clock genes in Brachypodium distachyon roots. Sci Rep 13, 1241 (2023). https://doi.org/10.1038/s41598-022-27287-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-022-27287-4
This article is cited by
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.