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Article

Diurnal-Rhythmic Relationships between Physiological Parameters and Photosynthesis- and Antioxidant-Enzyme Genes Expression in the Raphidophyte Chattonella marina Complex

1
Fisheries Technology Institute, Japan Fisheries Research and Education Agency, 122-7 Nunoura, Tamanoura-cho, Goto, Nagasaki 853-0508, Japan
2
Institute of Environmental Health and Ecological Security, School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
3
Laboratory of Marine Environmental Science, Faculty of Agriculture, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
4
Laboratory of Regulation in Metabolism and Behavior, Faculty of Agriculture, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
*
Authors to whom correspondence should be addressed.
Antioxidants 2024, 13(7), 781; https://doi.org/10.3390/antiox13070781
Submission received: 18 May 2024 / Revised: 25 June 2024 / Accepted: 25 June 2024 / Published: 27 June 2024

Abstract

:
Diurnal rhythms in physiological functions contribute to homeostasis in many organisms. Although relationships between molecular biology and diurnal rhythms have been well studied in model organisms like higher plants, those in harmful algal bloom species are poorly understood. Here we measured several physiological parameters and the expression patterns of photosynthesis-related and antioxidant-enzyme genes in the Chattonella marina complex to understand the biological meaning of diurnal rhythm. Under a light–dark cycle, Fv/Fm and expression of psbA, psbD, and 2-Cys prx showed significant increases in the light and decreases during the dark. These rhythms remained even under continuous dark conditions. DCMU suppressed the induction of psbA, psbD, and 2-Cys prx expression under both light regimes. Oxidative stress levels and H2O2 scavenging activities were relatively stable, and there was no significant correlation between H2O2 scavenging activities and antioxidant-enzyme gene expression. These results indicate that the Chattonella marina complex has developed mechanisms for efficient photosynthetic energy production in the light. Our results showed that this species has a diurnal rhythm and a biological clock. These phenomena are thought to contribute to the efficiency of physiological activities centered on photosynthesis and cell growth related to the diurnal vertical movement of this species.

1. Introduction

The raphidophyte Chattonella marina complex (hereafter referred to as Chattonella) is distributed widely in coastal areas of temperate and subtropical zones around the world and is known as one of the harmful algal bloom (HAB) species that cause mass mortalities of aquacultured fish around the world [1,2,3,4]. This species can form dense blooms on the water surface in midsummer during periods of high temperatures and light conditions. Generally, photosynthetic organisms generate higher amounts of reactive oxygen species (ROS) such as superoxide anion (O2•−), hydrogen peroxide (H2O2), and hydroxyl radicals (OH) through photosynthesis when they are exposed to high temperatures and strong light conditions [5,6]. Because these ROS attack various cellular molecules, such as DNA, RNA, proteins, and lipids, high amounts and long-term exposure to ROS have serious adverse effects on living organisms [7,8]. Previously, it has been reported that D1 protein—an essential subunit of photosystem II—is decomposed by excessive ROS generated by strong light energy, leading to a decrease in photosynthetic activity [9,10,11,12]. In addition, Chattonella is known to generate higher amounts of ROS compared to other unicellular algae, including HAB species [13,14], and high concentrations of ROS are considered one of the factors that damage the gills of fish during red tide events [15,16]. Hence, this source of excessive oxidative stress produced as a byproduct of photosynthesis must be quickly removed from the cell.
Antioxidant enzymes serve an important function by regulating oxidative stress to maintain intracellular homeostasis. Photosynthetic organisms can also protect themselves from oxidative stress by decomposing ROS using antioxidants and antioxidant-enzyme systems [17,18]. In our previous study, the expression levels of antioxidant-enzyme genes in Chattonella increased with the increase in oxidative stress due to excessive light energy or H2O2 treatment [19,20], suggesting that the function of the antioxidant enzyme was to respond in a way that protected the cells from excessive oxidative stress. In general, photosynthesis has diurnal characteristics related to the movement of the sun; thus, the expression of antioxidant enzymes is also thought to have a similar rhythm for efficient removal of ROS and to be controlled by the biological clock.
Diurnal rhythms are defined as biological rhythms that, under given circumstances, complete a cycle in less than 24 h, are endogenously generated, and are continuous [21]. Diurnal rhythms have been studied in a variety of organisms, including photosynthetic organisms [22,23,24,25,26,27]. These rhythms contribute to the regulation of physiological rhythms within an individual and to efficient energy production, metabolism, growth, and behavior. Diurnal rhythms are closely related to photosynthetic activity. Kloppstech [28] was the first to report that in higher plants (the pea Pisum sativum), transcription of the genes for the light-harvesting complex, ribulose 1,5-bisphosphate carboxylase/oxygenase, and early light-induced protein follows a diurnal rhythm. These gene transcriptions showed a tendency to increase during the day and decrease at night. Moreover, the expression of psbA and psbD genes, which code for the D1 and D2 proteins of photosystem II, follows a diurnal rhythm in higher plants and cyanobacteria [29,30,31,32].
Most phytoplankton with flagella, including Chattonella, are known to show diurnal vertical migration (DVM) in the ocean. The biological significance of DVM is thought to be for sufficient photosynthesis in the surface layer during the daytime and for nutrient supplementation in the deeper layers at night [33]. DVM may also play a role in mitigating photosystem damage by adjusting the water depth occupied. DVM in some flagellate algae has been suggested to follow a diurnal rhythm controlled by an endogenous clock [34,35]. Shikata et al. [36] reported that in the raphidophyte Chattonella, the diurnal rhythm in DVM is regulated by blue light. They concluded that Chattonella can sense the weak blue wavelength from sunlight throughout its depth range, allowing it to cue its DVM to the day–night cycle regardless of weather and transparency. In addition, they also reported that this species changes its taxis in response to different wavelengths of light [37]. In natural environments, the wavelengths of light received vary depending on the weather and time of day, and it is thought that they act based on this information. Also, in our previous study, we found significantly higher levels of the Chattonella proteins OEE, Cyt c553, and AtpB during the light period, whereas GAPDH and RPL12 generally showed higher expression levels during the dark period [38]. These diurnal biological responses are thus considered essential for efficient energy production using light. Studying the diurnal rhythm in Chattonella, which responds sensitively to light conditions, is expected to provide not only an understanding of its ecology but also knowledge that will help mitigate economic losses from red tides involving this species. However, any relationships between diurnal rhythms and gene expression, photosynthetic activity, and oxidative stress are as yet unclear in HAB species, including Chattonella.
Chattonella in particular is expected to have a high degree of oxidative stress tolerance related to the diurnal rhythm due to its ecological characteristics of forming blooms under conditions of high water temperature and high light intensity during the summer in Western Japan. It is therefore expected that Chattonella will be a model organism for studying oxidative stress tolerance in marine phytoplankton. Here, we analyzed the diurnal patterns in the expression of photosynthesis-related genes (psbA and psbD) and those for antioxidant enzymes in Chattonella. Moreover, we investigated diurnal photosynthetic activity (Fv/Fm ratio), oxidative stress level (O2•− and H2O2 production), and H2O2 scavenging activity, and we analyzed their relationships with the expression of these genes to understand the biological significance of their diurnal patterns.

2. Materials and Methods

2.1. Experimental Design

An axenic strain of Chattonella marina var. antiqua (Hada) Demura & Kawachi (NIES-1) was obtained from the National Institute for Environmental Studies (Tsukuba, Ibaraki, Japan). This strain was grown at 25 °C under a 14 h light:10 h dark (14L:10D) photoperiod at 100 μmol photons m−2 s−1 supplied by LED bulbs (Toshiba, Tokyo, Japan) using modified SWM3 medium at a salinity of 30 [39]. The culture medium was shaken once a day.
A Chattonella cell suspension in early stationary phase (10,550 cells mL−1, 3 L) was used for the diurnal rhythm experiment. About 2 L of this suspension was dispensed into eight flasks (240 mL each, Thermo Fisher Scientific, Tokyo, Japan) and cultured for 24 h under the same light and temperature conditions as the preculture to recover from any stress from dividing the culture. At 12:00 a.m. of the following day, four flasks were placed under each of two light regimes: 14L:10D (hereafter “LD”) and continuous dark (“24D”). All flasks were cultured for 33 h, including an initial 7 h light irradiation period (Figure 1). Samples were collected from 4 flasks of each group (n = 4) every 3 h (13.5 mL from one flask). Soon after sampling, a portion of each cell suspension sample was used for cell counts using microscopy at 40× magnification, Fv/Fm measurement, O2•− and H2O2 detection, and measurement of H2O2 scavenging activity. The remaining portion of the cell suspension was centrifuged (1800× g for 10 min), and the cell pellet was stored at −80 °C until RNA extraction for determining the expression of photosynthesis-related and antioxidant-enzyme genes using quantitative PCR (qPCR).

2.2. Measurement of the Fv/Fm Ratio

Fv/Fm, which indicates the maximum quantum yield of photosystem II, was measured using an Aqua Pen fluorometer (PSI, Photon Systems Instruments, Czech Republic) as described in our previous study [40]. To investigate the effect of different photoperiods on photosynthetic performance, we used 2 mL of each cell suspension sample. Cell suspensions were kept in the dark for 30 min before measurements.

2.3. Detection of O2•− and H2O2 and Measurement of H2O2 Scavenging Activity

O2•− was measured in accordance with the methods of Kim et al. [41]. First, 5 μL of modified SWM3 medium or superoxide dismutase (SOD; 1000 U/mL) was mixed with 145 μL of a cell suspension in a test tube. Next, 50 μL of 10 μM 2-methyl-6-(p-methoxyphenyl)-3,7-dihydroimidazo [1,2-]pyrazin-3-one (MCLA) was added. The chemiluminescence response was then recorded immediately for 20 s at room temperature using a tube luminometer (Lumat LB 9507; Berthold Technologies, Tokyo, Japan). The chemiluminescence intensity for each sample was corrected by subtracting the measurement with added SOD (SOD+) from the reading without added SOD (SOD−).
H2O2 concentrations and scavenging activities were measured as in our previous study [19]. Briefly, the H2O2 concentration was measured by the luminol reaction-based method using a tube luminometer (Lumat LB 9507; Berthold Technologies) and calculated using a standard curve of H2O2 concentrations from 0 to 0.1 mM. We measured H2O2 scavenging activity as catalase activity equivalents using a tube luminometer (Lumat LB 9507; Berthold Technologies). We then calculated H2O2 scavenging activity based on the decrease in chemiluminescence of standard samples (0, 10, 20, 30, 40, and 50 units of catalase in 50 μL medium).

2.4. Gene Expression Analysis

Expression of the photosynthesis-related and antioxidant-enzyme genes was analyzed by qPCR following our previous studies [20,42]. Briefly, total RNA was extracted from the cell pellet (see Section 2.1) using an ISOSPIN Plant RNA (Nippon Gene Co., Ltd., Tokyo, Japan). The extracted total RNA was treated with DNase I, which was included with the commercial kit. Total RNA was quantified using a spectrophotometer (BioSpec-nano; Shimadzu, Kyoto, Japan). cDNA was synthesized from 400 ng of total RNA using Primer Mix, which included a random primer and an oligo (dT) primer in the ReverTra Ace® qPCR RT Kit (Toyobo, Osaka, Japan). The expression level of each photosynthesis-related and antioxidant-enzyme gene was measured using a Mx3000P Multiplex QPCR System (Stratagene, Tokyo, Japan).
The primers and probes used in this study are shown in Table 1. Original primers for photosynthesis-related genes were designed using sequences that had been previously deposited in the DNA Data Bank of Japan (DDBJ) (psbA, LC595635; psbD, LC595637). The expression of photosynthesis-related genes was then analyzed using the THUNDERBIRD SYBR qPCR Mix (Toyobo) following the manufacturer’s protocol. The expression of antioxidant-enzyme genes was also analyzed following our previous study [20]. We selected calmodulin (CAL) as a reference gene as it showed the most stable expression levels among commonly used reference genes (cytochrome c oxidase subunit 2 and elongation factor). We then used the RefFinder tool [43], which integrates four specific algorithms (GeNorm by Vandesompele et al. [44], NormFinder by Andersen et al. [45], BestKeeper by Pfaffl et al. [46], and the comparative delta-Ct method by Silver et al. [47]) to assess and screen these candidate reference genes. The reaction mixture and thermal conditions are described elsewhere [20,42].

2.5. Regulation of psbA, psbD, and 2-Cys prx Gene Expression by the Electron Transport Chain in Photosystem II

The expression of some genes encoded in the chloroplast genome is known to be regulated by the redox state in the plastoquinone pool within the photosystem [48,49,50,51,52]. We investigated whether the expression of psbA, psbD, and 2-Cys prx, which are expected to be encoded in the chloroplast genome, is regulated by the redox state in the plastoquinone pool by using 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU), which blocks the electron transport at quinone B in photosystem II.
A culture of Chattonella grown under the conditions described in Section 2.1 until the early stationary phase (24,466 cells mL−1) was divided among 16 flasks (100 mL each) at 4:00 p.m. and maintained under the same conditions until midnight. DCMU (dissolved in ethanol) was then added to 8 of the flasks (final DCMU concentration, 10 μM; final ethanol concentration, 0.01%), and ethanol only was added to the other 8 flasks as a solvent control. For this experiment, four flasks were used in each treatment: DCMU + light, DCMU + dark, solvent control + light, and solvent control + dark. For the treatments with light, irradiation started at 5:00 a.m., whereas dark treatments were continuously kept in the dark. These groups were sampled (10 mL from 1 flask in each treatment) every 3 h until 9:00 a.m. (midnight, 3:00, 6:00, and 9:00 a.m.). Analysis for expression of psbA, psbD, and 2-Cys prx was performed using qPCR following the method described in Section 2.4.

2.6. Statistical Analysis

We used CircWave 1.4 software [53] (http://www.rug.nl/fwn/onderzoek/programmas/biologie/chronobiologie/downloads/index; accessed on 4 February 2005) to test for significant rhythmicity of Fv/Fm, O2•− and H2O2 concentrations, H2O2 scavenging activity, and expression of photosynthesis-related and antioxidant-enzyme genes. CircWave 1.4 can be seen as an extension of cosinor analysis, and it uses a linear harmonic regression fit that describes the data by adding harmonics to the principal wave function. We adopted a significance level in rhythmicity of <0.01 to reduce the chance of false positives. An r2 > 0.05 was judged as a significant cosinor fit following CircWave analysis.
Relationships between expression levels of psbA and psbD, Fv/Fm, and O2•− and H2O2 concentrations were analyzed using Pearson’s correlation coefficient and Statcel 3 (OMS, Saitama, Japan) in Excel. We also analyzed the relationships between expression levels of antioxidant genes and Fv/Fm, O2•− and H2O2 concentrations, and H2O2 scavenging activity. These analyses were carried out using data from 6:00 a.m. to 9:00 p.m. on day 2.
In DCMU treatment, Student’s t-tests were used to detect significant differences in each treatment group.

3. Results

3.1. Cell Densities and Fv/Fm Ratios under Different Light Regimes

During the experiments, Chattonella cell densities ranged from 9900 to 12,000 cells/mL under LD and from 9250 to 11,300 cells/mL under 24D (Figure 2A). Fv/Fm reached a maximum during the light period and a minimum during the dark period under LD (Figure 2B). Fv/Fm under 24D showed a pattern similar to that under LD, but the maximum value was lower than under LD. CircWave analysis found diurnal rhythmicity in Fv/Fm under both light regimes, but the rhythmicity was higher under LD than 24D (Table 2).

3.2. O2•− and H2O2 Concentrations and H2O2 Scavenging Activity under Different Light Regimes

There was no clear diurnal rhythmicity in O2•− production under LD or 24D treatments (Figure 3A and Table 2) or in H2O2 concentration under LD (Figure 3B and Table 2). CircWave analysis detected significant rhythmicity in H2O2 concentration under 24D; however, due to the extremely low acrophase, this does not indicate a diurnal rhythm caused by photoperiod.
In contrast, H2O2 scavenging activity appears to be more prone to diurnal rhythms than O2•− production and H2O2 concentration (Figure 3C). In particular, the rhythmicity of the activity under 24D is significant (Table 2), suggesting higher H2O2 scavenging activities during light periods controlled by the biological clock.

3.3. Expression Levels of Photosynthesis-Related and Antioxidant-Enzyme Genes under Different Light Regimes

Expression levels of both psbA and psbD under LD were higher during the light period than in the dark during day 2 (Figure 4A,B) and showed significant rhythmicity (Table 2). This rhythmicity was also observed under 24D, suggesting regulation by the biological clock.
The expression of almost all antioxidant-enzyme genes under both light regimes showed diurnal rhythmicity, except for gpx and trx under LD and trx under 24D (Figure 5 and Table 2). The expression of 2-Cys prx showed the fastest increase among these genes under both light regimes at 6:00 a.m. (Figure 5F).

3.4. Relationship Analysis Using Pearson’s Correlation Coefficients

The psbA expression and Fv/Fm under LD were significantly co-related, but not under 24D (Table 3). The expression of psbD was negatively related to H2O2 production under 24D. The expression of apx was significantly and negatively co-related with Fv/Fm and O2•− production under 24D. 2-Cys prx expression and Fv/Fm were significantly co-related, and H2O2 production was negatively co-related under both LD.

3.5. Suppression of psbA, psbD, and 2-Cys prx Expression by DCMU Treatment

We investigated whether the expression of psbA, psbD, and 2-Cys prx, which are expected to be encoded in the chloroplast genome, is regulated by the redox state in the plastoquinone pool. We used DCMU, which blocks the electron transport at quinone B in photosystem II. After irradiation with light, the increase in the expression of psbA, psbD, and 2-Cys prx was significantly suppressed by DCMU treatment under both light and dark conditions (Figure 6).

4. Discussion

This study revealed the diurnal rhythm of some physiological parameters in Chattonella, such as photosynthetic activity and the expression of photosynthesis-related and antioxidant-related genes under LD conditions. The rhythm of many parameters was maintained even under 24D, indicating the existence of a biological clock in this species. We consider these findings to have an important role in maintaining the suitable physiological condition of Chattonella. Fv/Fm, a commonly used indicator for photosystem II activity, showed an increasing trend during the light period and a decreasing trend during the dark period under LD (Figure 2). The rhythmicity of Fv/Fm under 24D was weaker than that under LD, but a significant rhythm remained, with acrophase similar to that under LD (Table 2). These results strongly suggest that a variety of photosynthesis-related proteins have expression patterns that match the day–night rhythm.
In Porphyra umbilicalis, Fv/Fm was higher during the light period [54], but it increased in the dark in an endosymbiotic alga, Symbiodium [55]. These results suggest species-specific or habitat-dependent variation in the diurnal rhythm of photosynthetic activity. In another strain of Chattonella, no diurnal rhythmicity was observed in Fv/Fm [56]. However, in this study, Chattonella was cultured at a different light intensity and studied at a different growth stage than in the present study. These differences might affect the rhythms and patterns of gene and protein expression, and future studies should investigate changes in the rhythms in such cases.
psbA and psbD are genes encoding the D1 and D2 proteins, respectively, which are essential subunits for photosystem II [57,58]. In our experiments, the expression of psbA and psbD also showed significant diurnal rhythm under LD and 24D (Table 2). The significant positive correlation between psbA expression and Fv/Fm was detected under LD but not under 24D (Table 3). In general, the D1 protein is susceptible to photodegradation. We presume that the D1 protein was decomposed by the light energy at a fixed rate, even at the light intensity of this study, because the light intensity (100 μmol photons m−2 s−1) is near the saturation intensity for growth [59]. Thus, degradation and renaturation of the D1 protein were thought to affect Fv/Fm and the level of psbA expression, and a significant positive correlation between psbA expression and Fv/Fm might be detected under LD but not under 24D. Previous studies reported that the expression of psbA and psbD increased immediately after the start of light irradiation to activate photosynthesis in some photosynthetic species [30,60,61]. Hence, the patterns of psbA and psbD expression in the present study show that the photosynthetic activity of Chattonella is strongly supported by the D1 and D2 proteins.
Antioxidant systems are necessary for protection from harmful oxidative stress generated via biological processes. For example, photosynthetic organisms with mutants of antioxidant enzymes like 2-Cys Prx and Apx showed lower growth rates and photosynthesis activity with higher stress sensitivity [62,63]. In the present study, the expression of 4 and 5 out of 6 antioxidant-enzyme genes showed a significant diurnal rhythm under LD and 24D, respectively (Table 2). These results indicate that the expression of genes for these antioxidant enzymes is regulated by the biological clock to prepare for efficient ROS removal.
All of the antioxidant enzymes analyzed in this study, except for Cu/Zn SOD, are involved in peroxidase activity. H2O2 scavenging activity can be regarded as the sum of these multiple peroxidase activities. This activity exhibited a significant diurnal rhythm under 24D, and the activity under LD also showed fluctuations resembling a diurnal rhythm, although these were not significant. On the other hand, the expression of these peroxidase-related enzymes had no correlation with H2O2 scavenging activity (Table 3). In Chattonella, 2-Cys Prx is a major hydrogen peroxidase that accounted for 4% of all the protein spots visualized by fluorescent staining in the 2-DE profile [64]. Qiu et al. [38] reported that the expression levels of 2-Cys Prx protein did not change throughout a 12 h light:12 h dark diurnal cycle with 220 μmol photons m−2 s−1 of light intensity during the light period. In addition, we reported previously that the expression of Chattonella 2-Cys prx and H2O2 scavenging activity was induced by an increase in oxidative stress resulting from strong light irradiation at 1000 μmol photons m−2 s−1 [19]. Therefore, the 2-Cys Prx protein level may be regulated by its translation level, and the translation activity may be upregulated by an illuminance of at least 1000 μmol photons m−2s−1 but not by 100–220 μmol photons m−2 s−1. The expression level of other antioxidant-enzyme genes may not always be directly linked to the protein expression level under the light level in this study, and these factors may affect the relationship between the expression of antioxidant enzyme genes and H2O2 scavenging activity.
Under LD, the expression of psbA, psbD, and 2-Cys prx, which are expected to be encoded in the chloroplast genome, was strongly induced during the light period. These gene expression levels were higher than those under 24D. In addition, the expression of all antioxidant-enzyme genes expected to be encoded in the nuclear genome, except for gpx and trx, also showed significant diurnal rhythm under the light period of LD. These results indicate the involvement of light energy in gene expression. The redox state in the plastoquinone pool in the electron transport chain within the photosystem is known to regulate the expression of psbA and psbD [48,49,50,51,52]. In addition, the expression of many photosynthesis-related genes encoded in the nuclear genome is known to be regulated by the plastid-to-nucleus retrograde signal pathway [65], by which the redox state of the photosynthetic electron transport chain, trans-thylakoid potential. This pathway is thought to control the gene expression rhythm in this study.
We also detected a significant diurnal rhythm in all genes except for trx under 24D. To investigate the mechanism of gene induction under dark conditions, we carried out an experiment using DCMU, which blocks electron transport within photosystem II. The induction of psbA, psbD, and 2-Cys prx expression was suppressed after DCMU treatment compared with the solvent control group in both light and dark conditions. This result indicated the existence of a mechanism of gene induction by the redox state in the photosystem. In addition, these suggest the enhancement of the redox state of the photosynthetic electron transport chain under dark conditions by factors other than light energy, such as the provision of reducing power from the mitochondrial respiratory chain. If this speculation is correct, it is possible that the biological clock-like rhythms found in the expression of chloroplast genes in Chattonella are regulated by factors like a mitochondrial respiration chain. In higher plants, a protein highly homologous with the NAD(P)H dehydrogenase (NDH) complex in the mitochondrial respiratory chain was discovered in the chloroplast genome [66,67] and has been revealed to mediate electron transport on the thylakoid membranes. NDH is also known to transfer electrons to plastoquinone in higher plants. However, the NDH gene has not yet been found in the chloroplast genome of algae, so there may be a different electron transport pathway under dark conditions in Chattonella than in higher plants. Further research is needed on the diurnal rhythm of algal chloroplast gene expression.
Many studies have revealed that flagellated harmful algae start to swim toward the surface layer before dawn and swim to deeper layers toward night, e.g., [68,69,70]. Shikata et al. [37,71] reported that Chattonella begins to swim to the upper layer before light irradiation begins in its DVM behavior. Therefore, the initiation of DVM is expected to be controlled by the biological clock as well as light irradiation, especially blue light. In addition, they also reported that this species possesses the cryptochrome gene, which is sensitive to blue light [72]. Hence, it is possible that the behavior and physiological rhythms of this species are regulated through these photoreceptors. However, the underlying molecular mechanism of Chattonella behavior that starts before light irradiation, as well as the taxis (e.g., phototaxis or geotaxis), are poorly understood. The downstream cascade from regulation by clock genes is expected to be complex. In the present study, 2-Cys prx expression increased before light irradiation, as in the DVM rhythm. Thus, in the environmental populations of this species, it is possible that vertical migration to the surface layer begins before receiving light to satisfy antioxidant systems (Figure 7). This is likely an important physiological rhythm in preparation for active photosynthesis. Also, in this study, a single species was cultured, but in a natural environment, competition with other species may occur, which may affect the physiological rhythms and may result in disruption of the diurnal rhythm of this species [73]. Further study is needed to reveal the molecular mechanism and ecological significance of the diurnal rhythm in this species.

5. Conclusions

This study is the first to report the relationship between several physiological parameters and the expression patterns of photosynthesis-related and antioxidant-enzyme genes in the Chattonella marina complex based on diurnal rhythm. We revealed that Fv/Fm, an indicator of photosynthetic activity, showed significant diurnal rhythm with psbA and psbD, a photosynthesis-related gene, and 2-Cys prx, an antioxidant-related gene, under a light–dark cycle. Interestingly, these rhythms remained even under continuous dark conditions. These results suggest that this system has developed to enable efficient photosynthesis and protect itself from the oxidative stress that occurs. On the other hand, DCMU suppressed the induction of psbA, psbD, and 2-Cys prx expression under both light regimes, but not completely. The existence of a gene expression mechanism independent of electron transport in the photosystem was predicted. Many molecular mechanisms of physiology and gene expression remain unknown in HAB species. Further studies are also needed to understand their diurnal-based physiological and field growth characteristics.

Author Contributions

K.M. and Y.S. prepared the original draft. K.M., X.Q., Y.T., Y.O. and Y.S. reviewed and edited the manuscript. K.M. and Y.T. performed the qPCR analysis. K.M., S.Y. and Y.S. carried out the rhythmicity analysis. K.M. and X.Q. analyzed the photosynthetic parameters. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partially supported by the Aqua-Bioresource Innovation Center (ABRIC) in the Faculty of Agri-culture at Kyushu University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available within the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hallegraeff, G.M.; Munday, B.L.; Baden, D.G.; Whitney, P.L. Chattonella marina Raphidophyte bloom associated with mortality of cultured bluefin tuna (Thunnus maccoyii) in South Australia. In Harmful Algae; Reguera, B., Blanco, J., Fernandez, M.L., Wyatt, T., Eds.; Xunta de Galicia: A Coruña, Spain; IOC of UNESCO: Paris, France, 1998; pp. 93–96. [Google Scholar]
  2. Elbraechter, M. Exotic flagellates of coastal North Sea waters. Helgoländer Meeresunters. 1999, 52, 235–242. [Google Scholar] [CrossRef]
  3. Onitsuka, G.; Aoki, K.; Matsuyama, Y.; Kimoto, K.; Matsuo, H.; Kitadai, Y.; Nishi, H.; Tahara, Y.; Sakurada, K. Short-term dynamics of a Chattonella antiqua bloom in the Yatsushiro Sea, Japan, in summer 2010: Characteristics of its appearance in the southern area. Bull. Jpn. Soc. Fish. Oceanogr. 2011, 75, 143–153. [Google Scholar]
  4. García-Mendoza, E.; Cáceres-Martínez, J.; Rivas, D.; Fimbres-Martinez, M.; Sánchez-Bravo, Y.; Vásquez-Yeomans, R.; Medina-Elizalde, J. Mass mortality of cultivated Northern bluefin Tuna Thunnus thynnus orientalis associated with Chattonella species in Baja California, Mexico. Front. Mar. Sci. 2018, 5, 454. [Google Scholar] [CrossRef]
  5. Pospíšil, P. Production of reactive oxygen species by photosystem II as a response to light and temperature stress. Front. Plant Sci. 2016, 7, 1950. [Google Scholar] [CrossRef] [PubMed]
  6. Mullineaux, P.M.; Exposito-Rodriguez, M.; Laissue, P.P.; Smirnoff, N. ROS-dependent signalling pathways in plants and algae exposed to high light: Comparisons with other eukaryotes. Free Radic. Biol. Med. 2018, 122, 52–64. [Google Scholar] [CrossRef] [PubMed]
  7. Johnson, K.J.; Fantone, J.C.; Kaplan, P.A. In vivo damage of rat lungs by oxygen metabolites. J. Clin. Investig. 1981, 67, 983–993. [Google Scholar] [CrossRef] [PubMed]
  8. Halliwell, B.; Gutteridge, J.M. Oxygen toxicity, oxygen radicals, transition metals and disease. Biochem. J. 1984, 219, 1–14. [Google Scholar] [CrossRef] [PubMed]
  9. Aro, E.M.; McCaffery, S.; Anderson, J. Photoinhibition and D1 protein degradation in peas acclimated to different growth irradiances. Plant Physiol. 1993, 103, 835–843. [Google Scholar] [CrossRef] [PubMed]
  10. Aro, E.M.; Virgin, I.; Andersson, B. Photoinhibition of photosystem II. Inactivation, protein damage and turnover. Biochim. Et Biophys. Acta 1993, 1143, 113–134. [Google Scholar] [CrossRef]
  11. Komenda, J. Role of two forms of the D1 protein in the recovery from photoinhibition of photosystem II in the cyanobacterium Synechococcus PCC7942. Biochim. Et Biophys. Acta 2000, 1457, 243–252. [Google Scholar] [CrossRef]
  12. Han, B.P.; Virtanen, M.; Koponen, J.; Straškraba, M. Effect of photoinhibition on algal photosynthesis: A dynamic model. J. Plankton Res. 2000, 22, 865–885. [Google Scholar] [CrossRef]
  13. Oda, T.; Nakamura, A.; Shikayama, M.; Kawano, I.; Ishimatsu, A.; Muramatsu, T. Generation of reactive oxygen species by raphidophycean phytoplankton. Biosci. Biotechnol. Biochem. 1997, 61, 1658–1662. [Google Scholar] [CrossRef] [PubMed]
  14. Kevin, J.P.; Cary, S.C.; Warner, M.E. Antioxidant enzyme response and reactive oxygen species production in marine raphidophytes. J. Phycol. 2010, 46, 1161–1171. [Google Scholar]
  15. Nakamura, A.; Okamoto, T.; Komatsu, N.; Ooka, S.; Oda, T.; Ishimatsu, A.; Muramatsu, T. Fish mucus stimulates the generation of superoxide anion by Chattonella marina and Heterosigma akashiwo. Fish Sci. 1998, 64, 866–869. [Google Scholar] [CrossRef]
  16. Cho, K.; Ueno, M.; Liang, Y.; Kim, D.; Oda, T. Generation of reactive oxygen species (ROS) by harmful algal bloom (HAB)-forming phytoplankton and their potential impact on surrounding living organisms. Antioxidants 2022, 11, 206. [Google Scholar] [CrossRef]
  17. Caverzan, A.; Casassola, A.; Brammer, S.P. Antioxidant responses of wheat plants under stress. Genet. Mol. Biol. 2016, 39, 1–6. [Google Scholar] [CrossRef] [PubMed]
  18. Kapoor, D.; Singh, S.; Kumare, V.; Romero, R.; Prasad, R.; Singh, J. Antioxidant enzymes regulation in plants in reference to reactive oxygen species (ROS) and reactive nitrogen species (RNS). Plant Gene 2019, 19, 100182. [Google Scholar] [CrossRef]
  19. Mukai, K.; Teramoto, A.; Qiu, X.; Shimasaki, Y.; Kato-Unoki, Y.; Lee, J.M.; Mizoguchi, M.; Khanam, M.R.M.; Satone, H.; Tatsuke, T.; et al. Gene structure and cDNA sequence of 2-Cys peroxiredoxin in the harmful algal bloom species Chattonella marina and its gene transcription under different light intensities. Eur. J. Phycol. 2017, 53, 29–38. [Google Scholar] [CrossRef]
  20. Mukai, K.; Shimasaki, Y.; Qiu, X.; Kato-Unoki, Y.; Chen, K.; Khanam, M.R.M.; Oshima, Y. Effects of light and hydrogen peroxide on gene expression of newly identified antioxidant enzymes in the harmful algal bloom species Chattonella marina. Eur. J. Phycol. 2019, 54, 393–403. [Google Scholar] [CrossRef]
  21. Robertson McClung, C. Plant circadian rhythms. Plant Cell 2006, 18, 792–803. [Google Scholar] [CrossRef]
  22. Greenham, K.; Robertson, C.M. Integrating circadian dynamics with physiological processes in plants. Nat. Rev. Genet. 2015, 16, 598–610. [Google Scholar] [CrossRef]
  23. Panda, S. Circadian physiology of metabolism. Science 2016, 354, 1008–1015. [Google Scholar] [CrossRef]
  24. Tsang, A.H.; Astiz, M.; Friedrichs, M.; Oster, H. Endocrine regulation of circadian physiology. J. Endocrinol. 2016, 230, R1–R11. [Google Scholar] [CrossRef]
  25. Srivastava, D.; Shamim, M.; Kumar, M.; Mishra, A.; Maurya, R.; Sharm, D.; Pandey, P.; Singhf, K.N. Role of circadian rhythm in plant system: An update from development to stress response. Environ. Exp. Bot. 2019, 162, 256–271. [Google Scholar] [CrossRef]
  26. William, H.W., II; James, C.W.; Courtney, D.A.; Randy, J.N. Circadian rhythm disruption and mental health. Transl. Psychiatry 2020, 10, 28. [Google Scholar]
  27. Gao, Y.; Erdner, D.L. Dynamics of cell death across growth stages and the diel cycle in the dinoflagellate Karenia brevis. J. Eukaryot. Microbiol. 2021, 69, 1284. [Google Scholar] [CrossRef]
  28. Kloppstech, K. Diurnal and circadian rhythmicity in the expression of light-induced plant nuclear messenger RNAs. Planta 1985, 165, 502–506. [Google Scholar] [CrossRef]
  29. Nakahira, Y.; Katayama, M.; Miyashita, H.; Kutsuna, S.; Iwasaki, H.; Oyama, T.; Kondo, T. Global gene repression by KaiC as a master process of prokaryotic circadian system. Proc. Natl. Acad. Sci. USA 2004, 101, 881–885. [Google Scholar] [CrossRef]
  30. Zinser, E.R.; Lindell, D.; Johnson, Z.I.; Futschik, M.E.; Steglich, C.; Coleman, M.L.; Wright, M.A.; Rector, T.; Steen, R.; McNulty, N.; et al. Choreography of the transcriptome, photophysiology, and cell cycle of a minimal photoautotroph, prochlorococcus. PLoS ONE 2009, 4, e5135. [Google Scholar] [CrossRef]
  31. Martins, B.M.C.; Tooke, A.K.; Thomas, P.; Locke, J.C.W. Cell size control driven by the circadian clock and environment in cyanobacteria. Proc. Natl. Acad. Sci. USA 2018, 115, 11415–11424. [Google Scholar] [CrossRef]
  32. Belbin, F.E.; Noordally, Z.B.; Wetherill, S.J.; Atkins, K.A.; Franklin, K.A.; Dodd, A.N. Integration of light and circadian signals that regulate chloroplast transcription by a nuclear-encoded sigma factor. New Phytol. 2017, 213, 727–738. [Google Scholar] [CrossRef]
  33. Watanabe, M.; Kohata, K.; Kimura, T. Diel vertical migration and nocturnal uptake of nutrients by Chattonella antiqua under stable stratification. Limnol. Oceanogr. 1991, 36, 593–602. [Google Scholar] [CrossRef]
  34. Kohata, K.; Watanabe, M. Synchronous division and the pattern of diel vertical migration of Heterosigma akashiwo (Hada) Hada (Raphidophyceae) in a laboratory culture tank. J. Exp. Mar. Biol. Ecol. 1986, 100, 209–224. [Google Scholar] [CrossRef]
  35. Roenneberg, T.; Grant, N.C.; Hastings, J.W. A circadian rhythm of population behavior in Gonyaulax polyedra. J. Biol. Rhythm. 1989, 4, 89–104. [Google Scholar] [CrossRef]
  36. Shikata, T.; Matsunaga, S.; Iseki, M.; Nishide, H.; Higashi, S.; Kamei, Y.; Yamaguchi, M.; Jenkinson, I.R.; Watanabe, M. Blue light regulates the rhythm of diurnal vertical migration in the raphidophyte red-tide alga Chattonella antiqua. J. Plankton Res. 2013, 35, 542–552. [Google Scholar] [CrossRef]
  37. Shikata, T.; Matsunaga, S.; Kuwahara, Y.; Iwahori, S.; Nishiyama, Y. Light spectrum regulates cell accumulation during daytime in the raphidophyte Chattonella antiqua causing noxious red tides. J. Photochem. Photobiol. B Biol. 2016, 160, 128–133. [Google Scholar] [CrossRef]
  38. Qiu, X.; Mukai, K.; Shimasaki, Y.; Wu, M.; Chen, K.; Lu, Y.; Ichinose, H.; Nakashima, T.; Kato-Unoki, Y.; Oshima, Y. Diurnal variations in expression of photosynthesis-related proteins in the harmful Raphidophyceae Chattonella marina var. antiqua. J. Exp. Mar. Biol. Ecol. 2020, 527, 151361. [Google Scholar] [CrossRef]
  39. Yamasaki, Y.; Nagasoe, S.; Matsubara, T.; Shikata, T.; Shimasaki, Y.; Oshima, Y.; Honjo, T. Allelopathic interactions between the bacillariophyte Skeletonema costatum and the raphidophyte Heterosigma akashiwo. Mar. Ecol. Prog. 2007, 339, 83–92. [Google Scholar] [CrossRef]
  40. Khanam, M.R.M.; Shimasaki, Y.; Hosain, M.Z.; Mukai, K.; Tsuyama, M.; Qiu, X.; Tasmin, R.; Goto, H.; Oshima, Y. Diuron causes sinking retardation and physiochemical alteration in marine diatoms Thalassiosira pseudonana and Skeletonema marinoi-dohrnii complex. Chemosphere 2017, 175, 200–209. [Google Scholar] [CrossRef]
  41. Kim, D.; Yamasaki, Y.; Yamatogi, T.; Yamaguchi, K.; Matsuyama, Y.; Kang, Y.; Lee, Y.; Oda, T. The possibility of reactive oxygen species (ROS)-independent toxic effects of Cochlodinium polykrikoides on damselfish (Chromis caerulea). Biosci. Biotechnol. Biochem. 2009, 73, 613–618. [Google Scholar] [CrossRef]
  42. Mukai, K.; Shimasaki, Y.; Qiu, X.; Kato-Unoki, Y.; Chen, K.; Takai, Y.; Khanam, M.R.M.; Chailil, A.E.; Oshima, Y. Gene expression stability of candidate reference genes under different culture conditions for quantitative PCR in the Raphidophyte Chattonella marina. Phycologia 2020, 59, 556–565. [Google Scholar] [CrossRef]
  43. Xie, F.; Xiao, P.; Chen, D.; Xu, L.; Zhang, B. a miRNA analysis tool for deep sequencing of plant small RNAs. Plant Mol. Biol. 2012, 80, 75–84. [Google Scholar] [CrossRef]
  44. Vandesompele, J.; Preter, K.D.; Pattyn, F.; Poppe, B.; Roy, N.V.; Paepe, A.D.; Speleman, F. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002, 3, research0034. [Google Scholar] [CrossRef] [PubMed]
  45. Andersen, C.L.; Jensen, J.L.; Orntoft, T.F. Normalization of real-time quantitative reverse transcription-PCR data: A model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004, 64, 5245–5250. [Google Scholar] [CrossRef] [PubMed]
  46. Pfaffl, M.W.; Tichopad, A.; Prgomet, C.; Neuvians, T.P. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: Bestkeeper–Excel-based tool using pair-wise correlations. Biotechnol. Lett. 2004, 26, 509–515. [Google Scholar] [CrossRef] [PubMed]
  47. Silver, N.; Best, S.; Jiang, J.; Thein, S.L. Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Mol. Biol. 2006, 7, 33. [Google Scholar] [CrossRef] [PubMed]
  48. Alfonso, M.; Perewoska, I.; Kirilovsky, D. Redox Control of psbA Gene expression in the cyanobacterium Synechocystis PCC 6803. Involvement of the cytochrome b6/f complex. Plant Physiol. 2000, 122, 505–515. [Google Scholar] [CrossRef] [PubMed]
  49. Pfannschmidt, T.; Nilsson, A.; Allen, J.F. Photosynthetic control of chloroplast gene expression. Nature 1999, 397, 625–628. [Google Scholar] [CrossRef]
  50. Tullberg, A.; Alexciev, K.; Pfannschmidt, T.; Allen, J.F. Photosynthetic electron flow regulates transcription of the psaB gene in pea (Pisum sativum L.) chloroplasts through the redox state of the plastoquinone pool. Plant Cell Physiol. 2000, 41, 1045–1054. [Google Scholar] [CrossRef]
  51. Kós, P.B.; Deák, Z.; Cheregi, O.; Vass, I. Differential regulation of psbA and psbD gene expression, and the role of the different D1 protein copies in the cyanobacterium Thermosynechococcus elongatus BP-1. Biochim. Et Biophys. Acta 2008, 1777, 74–83. [Google Scholar] [CrossRef]
  52. Kiss, É.; Kós, P.B.; Chenb, M.; Vassa, I. A unique regulation of the expression of the psbA, psbD, and psbE genes, encoding the D1, D2 and cytochrome b559 subunits of the Photosystem II complex in the chlorophyll d containing cyanobacterium Acaryochloris marina. Biochim. Et Biophys. Acta 2012, 1817, 1083–1094. [Google Scholar] [CrossRef]
  53. Oster, H.; Damerow, S.; Hut, R.A.; Eichele, G. Transcriptional profiling in the adrenal gland reveals circadian regulation of hormone biosynthesis genes and nucleosome assembly genes. J. Biol. Rhythm. 2006, 21, 350–361. [Google Scholar] [CrossRef]
  54. Aguilera, J.; Figueroa, F.L.; Häder, D.P.; Carlos, J. Photoinhibition and photosynthetic pigment reorganisation dynamics in light/darkness cycles as photoprotective mechanisms of Porphyra umbilicalis against damaging effects of UV radiation. Sci. Mar. 2008, 72, 87–97. [Google Scholar]
  55. Sorek, M.; Yacobi, Y.Z.; Roopin, M.; Berman-Frank, I.; Levy, O. Photosynthetic circadian rhythmicity patterns of Symbiodium, the coral endosymbiotic algae. Proc. R. Soc. B Biol. 2013, 280, 1759. [Google Scholar]
  56. Yuasa, K.; Shikata, T.; Ichikawa, T.; Tamura, Y.; Nishiyama, Y. Nutrient deficiency stimulates the production of superoxide in the noxious red-tide-forming raphidophyte Chattonella antiqua. Harmful Algae 2020, 99, 101938. [Google Scholar] [CrossRef]
  57. Golden, S.S. Light-responsive gene expression in cyanobacteria. J. Bacteriol. 1995, 177, 1651–1654. [Google Scholar] [CrossRef]
  58. Luciński, R.; Jackowski, G. The structure, functions and degradation of pigment-binding proteins of photosystem II. Acta Biochim. Pol. 2006, 53, 693–708. [Google Scholar] [CrossRef]
  59. Yamaguchi, M.; Imai, I.; Honjo, T. Effects of temperature, salinity and irradiance on the growth rates of the noxious red tide flagellates Chattonella antiqua and C. marina (Raphidophyceae). Nippon. Suisan Gakkaishi 1991, 57, 1277–1284. [Google Scholar] [CrossRef]
  60. Matsuo, T.; Onai, K.; Okamoto, K.; Minagawa, J.; Ishiura, M. Real-time monitoring of chloroplast gene expression by a luciferase reporter: Evidence for nuclear regulation of chloroplast circadian period. Mol. Cell. Biol. 2006, 26, 863–870. [Google Scholar] [CrossRef] [PubMed]
  61. Holtzendorff, J.; Partensky, F.; Mella, D.; Lennon, J.; Hess, W.R.; Garczarek, L. Genome streamlining results in loss of robustness of the circadian clock in the marine cyanobacterium Prochlorococcus marinus PCC 9511. J. Biol. Rhythm. 2008, 23, 187–199. [Google Scholar] [CrossRef] [PubMed]
  62. Dietz, K.J. Peroxiredoxins in plants and cyanobacteria. Antioxid. Redox Signal. 2011, 15, 1129–1159. [Google Scholar] [CrossRef]
  63. Zhang, Z.; Zhang, Q.; Wu, J.; Zheng, X.; Zheng, S.; Sun, X.; Qiu, Q.; Lu, T. Gene knockout study reveals that cytosolic ascorbate peroxidase 2(OsAPX2) plays a critical role in growth and reproduction in rice under drought, salt and cold stresses. PLoS ONE 2013, 8, e57472. [Google Scholar] [CrossRef]
  64. Shimasaki, Y.; Mukai, K.; Takai, Y.; Xuchun, Q.; Oshima, Y. Recent progress in the study of peroxiredoxin in the harmful algal bloom species Chattonella marina. Antioxidants 2021, 10, 162. [Google Scholar] [CrossRef]
  65. Nott, A.; Jung, H.S.; Koussevitzky, S.; Chory, J. Plastid-to-nucleus retrograde signaling. Annu. Rev. Plant Biol. 2006, 57, 739–759. [Google Scholar] [CrossRef]
  66. Laughlin, T.G.; Savag, D.F.; Davies, K.M. Recent advances on the structure and function of NDH-1: The complex I of oxygenic photosynthesis. Biochim. Et Biophys. Acta 2020, 1861, 148254. [Google Scholar] [CrossRef]
  67. Ma, M.; Liu, Y.; Bai, C.; Yong, J.W.H. The significance of chloroplast NAD(P)H dehydrogenase complex and its dependent cyclic electron transport in photosynthesis. Front. Plant Sci. 2021, 12, 661863. [Google Scholar] [CrossRef]
  68. Olsson, P.; Granéli, E. Observations on diurnal vertical migration and phased cell division for three coexisting marine dinoflagellates. J. Plankton Res. 1991, 13, 1313–1324. [Google Scholar] [CrossRef]
  69. Koizumi, Y.; Uchida, T.; Honjo, T. Diurnal vertical migration of Gymnodinium mikimotoi during a red tide in Hoketsu Bay, Japan. J. Plankton Res. 1996, 18, 289–294. [Google Scholar] [CrossRef]
  70. Park, J.G.; Jeong, M.K.; Lee, J.A.C.K.; Kwon, O. Diurnal vertical migration of a harmful dinoflagellate, Cochlodinium polykrikoides (Dinophyceae), during a red tide in coastal waters of Namhae Island, Korea. Phycologia 2001, 40, 292–297. [Google Scholar] [CrossRef]
  71. Shikata, T.; Matsunaga, S.; Nishide, H.; Sakamoto, S.; Onistuka, G.; Yamaguchi, M. Diurnal vertical migration rhythms and their photoresponse in four phytoflagellates causing harmful algal blooms. Limnol. Oceanogr. 2015, 60, 1251. [Google Scholar] [CrossRef]
  72. Shikata, T.; Takahashi, F.; Nishide, H.; Shigenobu, S.; Kamei, Y.; Sakamoto, S.; Yuasa, K.; Nishiyama, Y.; Yamasaki, Y.; Uchiyama, I. RNA-Seq analysis reveals genes related to photoreception, nutrient uptake, and toxicity in a noxious red-tide raphidophyte Chattonella antiqua. Front. Microbiol. 2019, 10, 1764. [Google Scholar] [CrossRef]
  73. Fernández-Herrera, L.J.; Band-Schmidt, C.J.; López-Cortés, D.J.; Hernández-Guerrero, C.J.; Bustillos-Guzmán, J.J.; Núñez-Vázquez, E. Allelopathic effect of Chattonella marina var. marina (Raphidophyceae) on Gymnodinium catenatum (Dinophycea). Harmful Algae 2016, 51, 1–9. [Google Scholar] [CrossRef]
Figure 1. Diagram showing the sampling times of cultures of Chattonella under light conditions of 14 h light:10 h dark (LD) (A) and continuous dark (24D) (B) after initial 7 h irradiation. Samples were collected at 12 time points throughout the experiment as indicated by arrows: at 12:00 (noon), 3:00, 6:00, and 9:00 p.m. on day 1, and at 12:00 (midnight), 3:00, 6:00, and 9:00 a.m. and 12:00 (noon), and 3:00, 6:00, and 9:00 p.m. on day 2. The white background shows periods of irradiation, and the gray background indicates the dark periods.
Figure 1. Diagram showing the sampling times of cultures of Chattonella under light conditions of 14 h light:10 h dark (LD) (A) and continuous dark (24D) (B) after initial 7 h irradiation. Samples were collected at 12 time points throughout the experiment as indicated by arrows: at 12:00 (noon), 3:00, 6:00, and 9:00 p.m. on day 1, and at 12:00 (midnight), 3:00, 6:00, and 9:00 a.m. and 12:00 (noon), and 3:00, 6:00, and 9:00 p.m. on day 2. The white background shows periods of irradiation, and the gray background indicates the dark periods.
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Figure 2. Cell densities (A) and Fv/Fm ratios (B) in cultures of Chattonella under two light regimes: 14 h light:10 h dark (LD), and continuous dark (24D). The top half of each panel shows LD conditions, and the bottom half is 24D. A white background indicates a light period, and a gray background indicates a dark period. The light period under LD was from 5:00 a.m. until 7:00 p.m. For 24D, the dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
Figure 2. Cell densities (A) and Fv/Fm ratios (B) in cultures of Chattonella under two light regimes: 14 h light:10 h dark (LD), and continuous dark (24D). The top half of each panel shows LD conditions, and the bottom half is 24D. A white background indicates a light period, and a gray background indicates a dark period. The light period under LD was from 5:00 a.m. until 7:00 p.m. For 24D, the dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
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Figure 3. Superoxide production (A), H2O2 concentrations (B), and H2O2 scavenging activity (C) in cultures of Chattonella under different light regimes. H2O2 scavenging activity is expressed in units of catalase activity (units/cell). A white background indicates a light period, and a gray background indicates a dark period. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
Figure 3. Superoxide production (A), H2O2 concentrations (B), and H2O2 scavenging activity (C) in cultures of Chattonella under different light regimes. H2O2 scavenging activity is expressed in units of catalase activity (units/cell). A white background indicates a light period, and a gray background indicates a dark period. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
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Figure 4. Relative gene expression levels of psbA (A) and psbD (B) in cultures of Chattonella under different light regimes, as determined by qPCR analysis. White background shows light periods, and gray background shows dark periods. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
Figure 4. Relative gene expression levels of psbA (A) and psbD (B) in cultures of Chattonella under different light regimes, as determined by qPCR analysis. White background shows light periods, and gray background shows dark periods. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
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Figure 5. Relative gene expression levels of Cu/Zn sod (A), gpx (B), cat (C), apx (D), trx (E), and 2-Cys prx (F) in cultures of Chattonella under different light regimes, as determined by qPCR analysis. A white background indicates light periods, and a gray background indicates dark periods. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
Figure 5. Relative gene expression levels of Cu/Zn sod (A), gpx (B), cat (C), apx (D), trx (E), and 2-Cys prx (F) in cultures of Chattonella under different light regimes, as determined by qPCR analysis. A white background indicates light periods, and a gray background indicates dark periods. The light period under LD was from 5:00 a.m. to 7:00 p.m. For 24D, the continuous dark period started at 7:00 p.m. Values are mean ± SD (n = 4).
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Figure 6. Gene expression response of psbA, psbD, and 2-Cys prx in Chattonella treated with DCMU. A white background indicates light periods, and a gray background indicates dark periods. The left and right panels represent LD and 24D conditions, respectively. White circles, solvent control + light conditions; white triangles, DCMU + light; black circles, solvent control + dark; black triangles, DCMU + dark. DCMU, or ethanol (as a solvent control), was added at midnight. Values are mean ± SD (n = 4). * p < 0.05 (Student’s t-test was used to compare solvent control and DCMU treatment groups under LD and 24D conditions).
Figure 6. Gene expression response of psbA, psbD, and 2-Cys prx in Chattonella treated with DCMU. A white background indicates light periods, and a gray background indicates dark periods. The left and right panels represent LD and 24D conditions, respectively. White circles, solvent control + light conditions; white triangles, DCMU + light; black circles, solvent control + dark; black triangles, DCMU + dark. DCMU, or ethanol (as a solvent control), was added at midnight. Values are mean ± SD (n = 4). * p < 0.05 (Student’s t-test was used to compare solvent control and DCMU treatment groups under LD and 24D conditions).
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Figure 7. Summary of results obtained from this study.
Figure 7. Summary of results obtained from this study.
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Table 1. Primer sets used in this study.
Table 1. Primer sets used in this study.
Gene Sequence (5′–3′)Amplicon Size (bp)Accession No.Reference
psbAForward (F)GAGCGCTTCTGCTCTTGGATTACT143LC595635Original
Reverse (R)CCATCGATGTCTACTGGAGGAGCA
psbDFCTTCGACCTTGTAGACGATTGGT211LC595637
RACTGTTCGCTGGTGTTGAAACAG
Cu/Zn sodFGGACCGATTGGTGAAGCTCATAGG162LC337662[20]
RGAGGATGCAATCCCAACAACTCCTC
Probe (P)56-FAM/GTGGACATG/ZEN/AACTTTC
GCTGCT/3IABkFQ
gpxFGGTGAGTGGCTTCACGTACAATC224LC337663
RCCGAAGCAACGTTAACTACAAGG
P56-FAM/TGGAAACAT/ZEN/GAAAG
GCCTTCTCGCAC/3IABkFQ
catFGCACATTTTGATCGTGAGCGTATCC224LC337664
RTTCACTGCAAACCCACGAGGATC
P56-FAM/GGGTACTTT/ZEN/GAGGTCA
CAACTCTC/3IABkFQ
apxFGCACTGACATGCCACAAGAGAAATG208LC337665
RTCAAAGACCAATGGCTCTTGAGTCC
P56-FAM/ACATCTTTG/ZEN/GCCGCATGGAAT/3IABkFQ
trxFTCTCCGATCTCCGTGTTGATTTTGC145LC337666
RGGTTTCCTGATTGCCTTTTGCGC
P56-FAM/ACCAAAGGT/ZEN/GTACAGGAATCCTC/3IABkFQ
2-Cys prxFTCAAGAAAACCCGGATGAGG139LC337661[19]
RGGCATAATCTTAGAAACGAG
P56-FAM/AGCCAGATC/ZEN/CTGTC
GGCTCT
Cox2FGGTGATGTTTTACATAGTTGGGCGG218AB286901[42]
RCCCTTCAAGTTTGGCATTAATCCAC
elfFTCGACCACTACAGGTCATCTGATCT129LC469958
RCAAGTTATCCAACACCCATGCGT
calFAGGAGCTTGGTACTGTCATGAGATC104LC469955
RGTCAATGGTTCCGTTACCATCTGC
PTCAGAATCCAACCGAGGCTGAGT
Table 2. Results of CircWave analysis for diurnal rhythms.
Table 2. Results of CircWave analysis for diurnal rhythms.
r2 (Rhythmicity)AcrophaseAmplitude
LDFv/Fm ratio0.95 (<0.01)16.220.01
O2 production-23.37-
H2O2 production-21.74-
H2O2 scavenging activity-15.79-
psbA expression0.57 (<0.01)18.410.02
psbD expression0.77 (<0.01)15.580.01
Cu/Zn sod expression0.25 (0.015)16.630.69
gpx expression-15.68-
cat expression0.28 (<0.01)17.440.64
apx expression0.45 (<0.01)16.000.42
trx expression-19.52-
2-Cys prx expression0.80 (<0.01)10.567.85
24DFv/Fm ratio0.79 (<0.01)17.270.01
O2 production-22.49-
H2O2 production0.80 (<0.01)0.670.01
H2O2 scavenging activity0.49 (<0.01)15.43<0.01
psbA expression0.53 (<0.01)21.020.01
psbD expression0.68 (<0.01)17.150.01
Cu/Zn sod expression0.36 (<0.01)14.110.29
gpx expression0.25 (0.015)13.150.29
cat expression0.24 (<0.023)13.831.05
apx expression0.71 (<0.01)14.500.48
trx expression-15.02-
2-Cys prx expression0.88 (<0.01)11.0210.90
Table 3. Results of correlation analysis using Pearson’s correlation coefficients.
Table 3. Results of correlation analysis using Pearson’s correlation coefficients.
LD24D
r Valuep Valuer Valuep Value
psbA
vs.
Fv/Fm ratio0.71<0.010.140.51
O2 production0.170.59−0.170.41
H2O2 production0.210.32−0.070.74
psbD
vs.
Fv/Fm ratio0.310.15−0.340.10
O2 production−0.370.070.120.59
H2O2 production0.330.12−0.48<0.05
Cu/Zn sod
vs.
Fv/Fm ratio0.230.27−0.120.56
O2 production−0.210.33−0.240.25
H2O2 production0.380.07−0.060.78
H2O2 scavenging activity0.260.220.220.29
gpx
vs.
Fv/Fm ratio0.010.97−0.270.20
O2 production−0.160.45−0.380.07
H2O2 production0.260.21−0.180.39
H2O2 scavenging activity0.270.190.210.33
cat
vs.
Fv/Fm ratio0.320.12−0.320.13
O2 production−0.070.75−0.240.26
H2O2 production0.390.06−0.330.12
H2O2 scavenging activity0.200.360.350.09
apx
vs.
Fv/Fm ratio0.400.05−0.45<0.05
O2 production−0.190.37−0.53<0.05
H2O2 production0.400.05−0.310.13
H2O2 scavenging activity0.330.120.270.20
trx
vs.
Fv/Fm ratio0.210.33−0.250.24
O2 production−0.090.68−0.380.07
H2O2 production−0.030.88−0.150.48
H2O2 scavenging activity0.130.550.130.54
2-Cys prx
vs.
Fv/Fm ratio−0.69<0.01−0.75<0.01
O2 production−0.270.21−0.060.76
H2O2 production−0.56<0.01−0.63<0.01
H2O2 scavenging activity−0.250.24−0.350.09
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MDPI and ACS Style

Mukai, K.; Qiu, X.; Takai, Y.; Yasuo, S.; Oshima, Y.; Shimasaki, Y. Diurnal-Rhythmic Relationships between Physiological Parameters and Photosynthesis- and Antioxidant-Enzyme Genes Expression in the Raphidophyte Chattonella marina Complex. Antioxidants 2024, 13, 781. https://doi.org/10.3390/antiox13070781

AMA Style

Mukai K, Qiu X, Takai Y, Yasuo S, Oshima Y, Shimasaki Y. Diurnal-Rhythmic Relationships between Physiological Parameters and Photosynthesis- and Antioxidant-Enzyme Genes Expression in the Raphidophyte Chattonella marina Complex. Antioxidants. 2024; 13(7):781. https://doi.org/10.3390/antiox13070781

Chicago/Turabian Style

Mukai, Koki, Xuchun Qiu, Yuki Takai, Shinobu Yasuo, Yuji Oshima, and Yohei Shimasaki. 2024. "Diurnal-Rhythmic Relationships between Physiological Parameters and Photosynthesis- and Antioxidant-Enzyme Genes Expression in the Raphidophyte Chattonella marina Complex" Antioxidants 13, no. 7: 781. https://doi.org/10.3390/antiox13070781

APA Style

Mukai, K., Qiu, X., Takai, Y., Yasuo, S., Oshima, Y., & Shimasaki, Y. (2024). Diurnal-Rhythmic Relationships between Physiological Parameters and Photosynthesis- and Antioxidant-Enzyme Genes Expression in the Raphidophyte Chattonella marina Complex. Antioxidants, 13(7), 781. https://doi.org/10.3390/antiox13070781

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