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Frontiers in Plant Science logoLink to Frontiers in Plant Science
. 2023 Feb 20;14:1087070. doi: 10.3389/fpls.2023.1087070

Application of ionizing radiation as an elicitor to enhance the growth and metabolic activities in Chlamydomonas reinhardtii

Jin-Hong Kim 1,2,*, Shubham Kumar Dubey 1,2, Kwon Hwangbo 1, Byung Yeoup Chung 1, Seung Sik Lee 1,2, Sungbeom Lee 1,2
PMCID: PMC9986495  PMID: 36890890

Abstract

Chlamydomonas reinhardtii is a eukaryotic, unicellular photosynthetic organism and a potential algal platform for producing biomass and recombinant proteins for industrial use. Ionizing radiation is a potent genotoxic and mutagenic agent used for algal mutation breeding that induces various DNA damage and repair responses. In this study, however, we explored the counterintuitive bioeffects of ionizing radiation, such as X- and γ-rays, and its potential as an elicitor to facilitate batch or fed-batch cultivation of Chlamydomonas cells. A certain dose range of X- and γ-rays was shown to stimulate the growth and metabolite production of Chlamydomonas cells. X- or γ-irradiation with relatively low doses below 10 Gy substantially increased chlorophyll, protein, starch, and lipid content as well as growth and photosynthetic activity in Chlamydomonas cells without inducing apoptotic cell death. Transcriptome analysis demonstrated the radiation-induced changes in DNA damage response (DDR) and various metabolic pathways with the dose-dependent expression of some DDR genes, such as CrRPA30, CrFEN1, CrKU, CrRAD51, CrOASTL2, CrGST2, and CrRPA70A. However, the overall transcriptomic changes were not causally associated with growth stimulation and/or enhanced metabolic activities. Nevertheless, the radiation-induced growth stimulation was strongly enhanced by repetitive X-irradiation and/or subsequent cultivation with an inorganic carbon source, i.e., NaHCO3, but was significantly inhibited by treatment of ascorbic acid, a scavenger of reactive oxygen species (ROS). The optimal dose range of X-irradiation for growth stimulation differed by genotype and radiation sensitivity. Here, we suggest that ionizing radiation within a certain dose range determined by genotype-dependent radiation sensitivity could induce growth stimulation and enhance metabolic activities, including photosynthesis, chlorophyll, protein, starch, and lipid synthesis in Chlamydomonas cells via ROS signaling. The counterintuitive benefits of a genotoxic and abiotic stress factor, i.e., ionizing radiation, in a unicellular algal organism, i.e., Chlamydomonas, may be explained by epigenetic stress memory or priming effects associated with ROS-mediated metabolic remodeling.

Keywords: Chlamydomonas, ionizing radiation, elicitor, growth stimulation, DNA damage response, reactive oxygen species, stress memory

Introduction

The eukaryotic unicellular green alga Chlamydomonas reinhardtii has been studied as a model organism to understand the photosynthesis, physiology, and genetics of both plants and algae (Harris, 2001; Merchant et al., 2007; Sasso et al., 2018). Due to the cumulative studies, Chlamydomonas reinhardtii has been most frequently proposed as a potential algal platform to produce biofuels, recombinant proteins, pharmaceuticals, and bio-products for industrial, medical, and nutritional uses (Rasala and Mayfield, 2015; Scranton et al., 2015; Yan et al., 2016; Charoonnart et al., 2019; Vishwakarma and Vavilala, 2019). In addition, facile transformation systems, low production costs, and the ability to secrete proteins are potential advantages of using Chlamydomonas as a single-celled recombinant protein production platform (Kumar et al., 2013; Rasala and Mayfield, 2015; Doron et al., 2016; Ma et al., 2022).

Chlamydomonas is commercially cultivated under batch/fed-batch/continuous and phototrophic/heterotrophic/mixotrophic growth conditions optimized for producing target metabolites such as starch, lipids, or recombinant proteins. Many studies have focused on strategies to enable the efficient cultivation of Chlamydomonas for various target metabolites. Chlamydomonas’s cell cycle and growth rate are associated with biomass yield and are determined by light intensity rather than light quality (Vítová et al., 2011; Kliphuis et al., 2012; Bialevich et al., 2022). Nutrient deficiencies, such as nitrogen, phosphorus, and sulfur deficiency, substantially alter the metabolic profiles of Chlamydomonas involved in the metabolism of lipids, amino acids, and external substances, causing cell growth inhibition and fatty acid accumulation in Chlamydomonas (Cakmak et al., 2012; Park et al., 2015; Yang et al., 2018). The photosynthetically assimilated carbon in Chlamydomonas is partly redirected from a pool of starch to neutral lipid synthesis (Li et al., 2010). Therefore, the relative proportions of starch and lipids can be modulated in a reverse relationship by altering the dynamic metabolic carbon flow (Sato and Toyoshima, 2021). In contrast, novel mixotrophic fed-batch cultivation, including systematic feeding of acetic acid and nutrients, is considered a commercially viable strategy applicable to high-density Chlamydomonas cultures, increasing biomass density, productivity, and the total amount of recombinant proteins (Fields et al., 2018). Genes related to DNA repair, signal transduction, and metabolite transport may contribute to the increased growth and biomass yield of Chlamydomonas cells, as suggested by a spaceflight production system using breathable plastic tissue culture bags (Zhang et al., 2020). In addition, two chemical compounds, WD10784 and WD30030, are synthetic inducers to increase lipid synthesis and storage in Chlamydomonas cells without restricting growth or biomass yield (Wase et al., 2019). Using an appropriate elicitor and optimizing light intensity/quality and various nutrients may be a core strategy to overcome adverse cultivation issues and to increase growth rates, biomass yield, and production of starch, lipids, or recombinant proteins, in algal platforms (Fan et al., 2014; Fan and Zheng, 2017; Li et al., 2020).

Ionizing radiation, such as X- and γ-rays, induces various DNA damage responses in plants as a potent genotoxic and mutagen (Kim et al., 2019). Therefore, γ-irradiation has been used to generate a mutant strain of Chlamydomonas reinhardtii with enhanced starch and lipid production (Baek et al., 2016; Koo et al., 2017b). Gamma irradiation at a dose of 80 Gy causes approximately 50% death and 20% nuclear degradation in Chlamydomonas cells, with the transcriptional enhancement of many conserved DNA damage response (DDR) genes such as RAD51A, RPA70A, LIG1, and KU70 (Koo et al., 2017a; Jung et al., 2021). Upon exposure to γ-rays, Chlamydomonas cells display a dose-dependent change in chlorophyll fluorescence parameters for photosynthetic activity as well as a dose-dependent increase in the formation of reactive oxygen species (ROS) (Gomes et al., 2017). When irradiated with γ-rays of 1 kGy, another green alga, Chlorella sorokiniana, exhibited a substantial decrease in growth, chlorophyll content, and photosynthetic efficiency but a significant increase in the accumulation of neutral lipid triacylglycerol (Singh et al., 2022). These results could be associated with the transcriptional modulation of photosynthesis- and fatty acid biosynthesis-related genes, as well as the accumulation of ROS.

Recently, our preliminary experiments revealed that ionizing radiation below 10 Gy could have a stimulatory rather than inhibitory effect on the growth of Chlamydomonas cells, as previously reported in red pepper (Capsicum annuum L.) plants (Kim et al., 2005). This distinctive radiation dose-growth response cannot exclude the possibility that relatively low doses of ionizing radiation are still able to cause mutations in genomes and/or unknown detrimental alterations in cellular metabolism, as has been shown in animal models (Tang et al., 2017). However, when a certain dose range of toxicity or stress factors causes no critical functional damage to cellular metabolism, it contributes to the fitness and sustainable metabolic activities of cells by providing short- or long-term stress memory (priming) through chromatin remodeling and epigenetic regulation (Kim, 2021). Therefore, ionizing radiation may function as a stress memory or priming agent, as well as a damaging agent through ROS accumulation and oxidative stress responses (Gomes et al., 2017; Singh et al., 2022).

In this study, we investigated the counterintuitive dose-response of ionizing radiation such as X- and γ-rays and its potential as an elicitor to facilitate batch or fed-batch cultivation of Chlamydomonas cells. The dose-dependent effects of X- and γ-irradiation on Chlamydomonas cells were analyzed and evaluated in terms of growth and survival rates, apoptotic cell death, transcriptomic changes, photosynthetic activity, and chlorophyll/protein/starch/lipid content. A certain dose range of X- and γ-rays was shown to stimulate the growth and metabolite production of Chlamydomonas cells. We believe this study is the first example of applying a certain dose range of ionizing radiation as an elicitor to facilitate Chlamydomonas cultivation.

Materials and methods

Algal strain and cultural conditions

The unicellular green alga C. reinhardtii strain CC-125 cells (1.5 × 106) were cultured in 50 mL liquid tris-acetate-phosphate (TAP) media in 250 mL flasks (Harris, 1989) by shaking at 25°C and 140 rpm under constant white light of 90–100 μmol photons m−2 s−1. In addition to the wild type (WT), two transgenic C. reinhardtii lines (AtTHI-OE1 and AtTHI-OE2) harboring the Arabidopsis thaliana Thionin 2.1 gene, which encodes antibacterial peptides, thionins, were used to investigate genotype-dependent radiation-sensitivity. Cells were harvested at 800 × g, dispensed, and subjected to X- or γ-irradiation as described below. The subsequent post-irradiation cultivations of the cells were performed in 10 mL fresh TAP media in 50 mL conical tubes, with an initial optical density of 0.05 at 750 nm for mock (or control) under the same culture conditions. The basal TAP medium was supplemented with 5 or 10 mM NaHCO3 to evaluate the synergistic effect of X-rays and sodium bicarbonate on cell growth.

X- or γ-irradiation

Mid-exponential phase C. reinhardtii cells with an approximate optical density of 0.6 OD750 were harvested from 10 mL cultures in 50 mL conical tubes, resuspended in 1.8 mL of TAP medium, and dispensed into three 1.5 mL microcentrifuge tubes. Samples were subjected to X-irradiation of 3, 6, 12, or 18 Gy for 11.1, 22.2, 44.4, or 66.6 min at 160 kV and 1 mA, or 25, 50, or 100 Gy for 4.05, 8.1, or 16.2 min at 160 kV and 10 mA using a cabinet type X-ray machine (CP-160, Faxitron X-ray LLC, Lincolnshire, IL, USA). In addition, X-irradiation was repeated two or three times at 2-day intervals. For γ-irradiation, the mid-exponential phase C. reinhardtii cells from 50 mL cultures in 250 mL flasks were equally dispensed into two 50 mL conical tubes without concentrating and exposed to γ-rays of 3, 6, 12, 25, 50, or 100 Gy for 1 h, which were generated from a 3 kCi 60Co source at the Advanced Radiation Technology Institute (Jeollabuk-do, Korea). The absorbed radiation dose for each sample was determined using a 5 mm-diameter alanine dosimeter (Bruker Instruments, Rheinstetten, Germany), as described previously (Song et al., 2016).

Measurement of cell growth and survival rate

Cell density was used to represent the relative growth of the mock (or control) and irradiated cells. The cell densities of C. reinhardtii cultures in liquid TAP media were obtained by measuring the OD750 at 2 days or consecutively for 5 days after each X- or γ-irradiation. For the survival rate, the mock and X-irradiated cells (1 × 103–1 × 104 cells) were spread on solid TAP medium plates and incubated at 25°C for 7 days under constant white light of approximately 90–100 μmol photons m−2 s−1. After incubation, visible colonies were counted and used to calculate the relative survival rates of mock and irradiated cells.

Transcriptome analysis by RNA-seq

For RNA isolation, the harvested and frozen cells (1 × 108) were resuspended in 1 mL of TRIzol reagent (Invitrogen, CA, United States), vortexed for 10 min, incubated for 5 min at 25°C, and centrifuged for 10 min at 4°C and 12,000 × g. The supernatant was mixed with 250 µL of chloroform (Sigma-Aldrich, MO, United States) by vortexing for 2 min, combined with an equal volume of phenol-chloroform (1:1 v/v; Sigma-Aldrich, MO, United States) after centrifugation, mixed by vortexing for 2 min, and centrifuged again. It was finally mixed with an equal volume of isopropanol, incubated for 45 min at 4°C, and centrifuged for 20 min at 4°C and 12,000 × g. The resultant RNA pellet was washed twice with 800 µL 75%(v/v) ethanol, dissolved in DEPC-treated water, and used for RNA-Seq and quantitative RT-PCR analyses.

For RNA-Seq, three biological replicates from different batches were prepared for transcriptome analysis. Total RNA was quantified using the Invitrogen Quant-IT™ RiboGreen™ RNA Assay Kit, and its integrity was assessed on the Agilent TapeStation system (Agilent Technologies, Santa Clara, CA, USA) using the RNA ScreenTape. RNA-Seq paired-end libraries were prepared using the Illumina TruSeq Stranded Total RNA Library Prep Plant Kit (Illumina, San Diego, CA, USA). The libraries were quantified using the KAPA Library Quantification Kit (Kapa Biosystems, Wilmington, MA, USA) and qualified using the Agilent TapeStation system with the D1000 ScreenTape. Sequencing of paired-end libraries was performed using the Illumina NovaSeq 6000 System (Illumina, Inc., San Diego, CA, USA).

The quality of the raw reads (FASTQ) was evaluated using the FastQC v0.11.5, and ‘dirty’ reads were removed using the Trimmomatic v0.36 to decrease data noise before downstream analysis. Briefly, the reads were subjected to the standard quality control (QC) criteria for trimming and cleaning as follows: (1) reads that aligned to primers and/or adaptors, (2) reads with over 50% low-quality bases (quality value ≤ 5) in one read, and (3) reads with over 10% unknown bases (N bases). After filtering, the remaining ‘clean’ reads were stored in FASTQ format. All high-quality clean reads were then mapped to the NCBI Chlamydomonas reinhardtii v5.5 or the Phytozome Chlamydomonas reinhardtii v6.1 reference genome using HISAT2 v2.2.1 (Kim et al., 2015a) to generate a BAM file. The BAM files were sorted and indexed with Samtools, and the number of reads matching each gene in the Chlamydomonas reinhardtii genome was counted using HTSeq-count v0.11.3.

Differentially expressed genes (DEGs) were identified using the read count data. Briefly, the read count data were filtered [read count < 1 (3 of 3)], and the count per million (CPM) was normalized using EdgeR software. Finally, the read count of each gene in every sample was normalized with that of the mock sample to calculate the fold change in gene expression between mock and test samples. Log2-transformed fold-change values > 1 were considered differentially expressed between the mock and test samples. Functional enrichment analysis of DEGs for Gene Ontology (GO) and KEGG pathway were conducted using the Gene Ontology Database and DAVID, respectively (Huang et al., 2009). The DEGs for this analysis were obtained using the Phytozome Chlamydomonas reinhardtii v6.1 reference genome.

Gene expression analysis by quantitative reverse transcription-PCR

For quantitative RT-PCR, RNA isolation was performed as described in RNA-Seq analysis. cDNA was synthesized from 1 μg of each RNA sample using oligo(dT) primers and the LaboPass™ cDNA Synthesis Kit (Cosmo Genetech, Seoul, Korea). Subsequent quantitative PCR (qPCR) amplification cycle conditions were 95°C for 30 s, followed by 40 cycles of 95°C for 10 s, 57°C for 10 s, and 72°C for 1 min using the CFX Connect™ Real-Time PCR Detection System (Bio-Rad Laboratories, Hercules, CA, USA) with the iTaq Universal SYBR® Green Supermix (Bio-Rad Laboratories) and gene-specific primers ( Supplementary Table 1 ). The relative expression level of each gene was calculated between mock and X- or γ-irradiated samples using the comparative CT method (Liu and Saint, 2002). The expression data of the three biological replicates were normalized to that of the endogenous reference gene CrTUBA1.

Apoptotic cell death assay by staining with Annexin V and 7-Aminoactinomycin D

The quantitative analysis of apoptotic and necrotic dead cells was conducted using the flow cytometer Muse ™ Cell Analyzer (Merck Millipore, Billerica, MA, USA) and the Muse™ Annexin V and Dead Cell Assay Kit (MCH100105; Merck Millipore) according to the manufacturer’s instructions. The mock and irradiated C. reinhardtii cells were harvested at 6, 24, and 48 h after X-irradiation, washed twice with Dulbecco’s PBS, stained with Muse™ Annexin V and Dead Cell Reagent at a final concentration of 5 × 106 cells mL −1, and finally subjected to the apoptotic cell death assay using 5,000 cells for each sample. Apoptotic cell death was expressed as the proportion of living, early/late apoptotic, and dead cells, which were determined using Muse™ Cell Analyzer software (Muse 1.1.2; Merck Millipore).

Photosynthesis assay

Chlorophyll fluorescence in C. reinhardtii cells was measured and analyzed in a 96-well plate using the IMAGING-PAM chlorophyll fluorometer (WALZ, Effeltrich, Germany) as described previously (Kim et al., 2009) to evaluate photosynthetic activity. The cells (1 × 108) were harvested 48 h after the third repetitive X-irradiation, and chlorophyll fluorescence was measured. Readings were taken from the wells after a 96-well black plate containing cell cultures was dark-incubated for 15 min at 25°C. Chlorophyll fluorescence parameters Fv/Fm, ETR, qP, and NPQ were calculated as described by Kim et al. (2005) and were used as representative parameters for photosynthetic activity. The maximum electron transport rate, ETRmax, was obtained from the relative ETR vs. PPFD curve, as reported previously (Bischof et al., 2000).

Determination of chlorophyll and protein content

Chlorophyll and protein contents were determined using the methods described by Kim et al. (2009) with modifications for C. reinhardtii cells. Cells (1 × 108) were harvested 48 h after the second repetitive X-irradiation. The cells were subjected to vigorous vortexing in 500 μL of 100% (v/v) ice-cold acetone for chlorophyll extraction, and cell debris was removed by centrifugation at 4°C and 21,000 × g for 5 min. Chlorophyll concentration was calculated using the equations of Lichtenthaler (1987) as follows: chlorophyll a = 11.24 × A661.6 − 2.04 × A644.8; chlorophyll b = 21.13 × A644.8 − 4.19 × A661.6; and total chlorophyll = 18.09 × A644.8 + 7.05 × A661.6.

For protein extraction, the harvested cells (1 × 108) were resuspended and shaken in 300 μL of lysis buffer containing 60 mM DTT, 60 mM Na2CO3, 2% (w/v) SDS, and 12% (w/v) sucrose for 20 min at 25°C (Ferrante et al., 2011). The protein extracts were obtained by centrifugation at 4°C and 10,000 × g for 1 min and mixed with five volumes of 100% (v/v) ice-cold acetone. The mixture was kept at −20°C for 2 h to facilitate protein precipitation and centrifuged at 4°C and 5,000 × g for 15 min. The protein pellets were washed twice with 100% (v/v) ice-cold acetone and kept in a fume hood for the complete drying of acetone. The dried protein pellets were dissolved in distilled water and used to determine the protein concentration according to the manual of the Bio-Rad Protein Assay Kit (Bio-Rad Laboratories, Hercules, CA, USA), using the method of Bradford (1976).

Determination of starch and lipid content

Starch and lipid contents were determined using the methods of Xiao et al. (2006) and Tran et al. (2019) with some modifications. Mock and X-irradiated cells were harvested 48 h after the second repetitive X-irradiation. All experiments were performed in triplicate. The cells were incubated with 100 µL of iodine reagent (5 mM I2 and 5 mM KI) at a ratio of 1:1 (v/v) in a 96-well plate to determine starch content. Following color development, the absorbance of the iodine-treated samples was measured at 580 nm. The relative starch content of the mock and X-irradiated samples was calculated from the absorbance before and after normalization against OD750.

Neutral lipid content was quantified using a fluorescence-based microplate assay after staining mock and X-irradiated cells with Nile Red. The cells were incubated with 100 µL Nile Red (a stock solution of 2 µg mL-1) at a ratio of 1:1 (v/v) in a 96-well plate for 30 min in the dark at 25°C. Nile Red fluorescence signals were measured at an excitation wavelength of 560 nm and an emission wavelength of 635 nm. The relative lipid content of the mock and X-irradiated samples was calculated from the fluorescence before and after normalization against OD750, respectively.

Production and scavenging assay of ROS

Production and scavenging of ROS in C. reinhardtii cells after X-irradiation with 6 Gy was estimated by measuring the cellular H2O2 content in absence and presence of ascorbic acid (AA) as a ROS scavenger. The cells (6 × 107) were harvested at 1 h post-irradiation without or with 1 mM AA treatment for 1 h at 25°C, and were incubated with 10 μM 2’,7’-dichlorofluorescin diacetate (H2DCF-DA) for 25 min in darkness at 25°C. The cell-permeable fluorometric probe H2DCFDA is cleaved to 2’,7’-dichlorofluorescin (H2DCF) by endogenous esterases in cells and is oxidized to its fluorescent form DCF upon reaction with H2O2. DCF fluorescence signals were measured at an excitation wavelength of 485 nm and an emission wavelength of 530 nm. The ROS level of the mock and X-irradiated samples was calculated relative to the mock without AA treatment by the DCF signal.

Statistical analysis

All experiments were repeated more than three times using biological replicates harvested after independent X- or γ-irradiation. The data were subjected to a two-sample independent t-test, one-way or multivariate analysis of variance followed by Tukey’s honest significance difference test, correlation or discriminant analysis using the statistical and graphical functions of R version 4.2.1 (R Core Team, 2022) and ggplot2 (Villanueva and Chen, 2019) in RStudio 2022.07.1 + 554 (Rstudio Team, 2022). A p-value less than 0.05 was considered significant.

Results

Counterintuitive growth response of C. reinhardtii cells after X- or γ-irradiation at different doses

The growth rates of C. reinhardtii cells were analyzed after X- or γ-irradiation with different doses of 3, 6, 12, 60, and 100 Gy to investigate the dose effect of ionizing radiation on algal cells. The two types of irradiation with the same absorbed doses but different dose rates, as described in the Materials and Methods section, revealed similar stimulatory and inhibitory effects on the growth curves of C. reinhardtii cells ( Supplementary Figures 1, 2 ). The similar dose-response curves following the two types of irradiation demonstrated that the growth response of C. reinhardtii cells is dependent on the absorbed dose rather than on the dose rate. In both X- and γ-irradiation, doses of 12 to 100 Gy inhibited cell growth in a dose-dependent manner, while doses of 3 and 6 Gy increased cell growth from 2 days after irradiation ( Figure 1 ). These results suggest that X- or γ-irradiation at a relatively low dose (< 10 Gy) can stimulate growth in C reinhardtii cells.

Figure 1.

Figure 1

Counterintuitive dose-responses of X- or γ-irradiation in the cultivation of C. reinhardtii cells. (A) X-irradiation; (B) γ-irradiation. XR3 (GR3), XR6 (GR6), XR12 (GR12), XR25 (GR25), XR50 (GR50), and XR100 (GR100) represent X-rays (γ-rays) of 3, 6, 12, 25, 50, and 100 Gy, respectively. Mid-exponential phase C. reinhardtii cells were differentially subjected to X- or γ-irradiation to have the absorbed doses of 3, 6, 12, 50, and 100 Gy as described in the Materials and Methods section. The cell densities were compared by measuring the optical density at 750 nm (OD750) to evaluate the growth rates of mock and irradiated cells. Data represent the mean ± standard error (SE) with n = 9 from three independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Confirmation of growth stimulation of C. reinhardtii cells after repetitive X-irradiation with two relatively low doses, 3 and 6 Gy

Subsequently, C. reinhardtii cells were subjected to repetitive X-irradiation at 3 or 6 Gy to substantiate the growth stimulatory effect of X- or γ-irradiation at a relatively low dose. We investigated whether repetitive X-irradiation with 3 or 6 Gy, with a final cumulative dose of 9 or 18 Gy, respectively, could further increase the growth of C. reinhardtii cells beyond the single X-irradiation ( Figure 2A ). The irradiation groups demonstrated 9.8−10.4% higher cell densities after the first X-irradiation, 19.2−19.6% after the second, and 20.5−21.7% after the third compared to the mock group, suggesting increasing growth stimulation at least up to the third ( Figure 2B ). In particular, repetitive X-irradiation with 6 Gy with a final cumulative dose of 18 Gy enhanced growth stimulation approximately two-fold, despite growth inhibition by single X- or γ-irradiation with doses above 12 Gy ( Figures 1 , 2 ). These results suggest that repetitive X-irradiation with a certain range of relatively low doses can enhance the growth stimulation of C. reinhardtii beyond single X-irradiation by preventing the growth inhibition of a high cumulative dose. No substantial difference in the radiation-induced growth stimulation between the 3 and 6 Gy groups after repetitive X-irradiation may imply that the two doses are within similar equilibrium between radiation-induced positive and negative effects.

Figure 2.

Figure 2

Enhanced growth stimulation of C. reinhardtii cells by repetitive X-irradiation with 3 or 6 Gy. XR3 and XR6 represent X-rays of 3 and 6 Gy, respectively. (A) A schematic diagram of repetitive X-irradiation. The absorbed doses of 3 and 6 Gy, which increased the growth of C. reinhardtii cells, were repeatedly applied to the X-irradiated cells at 2-day intervals as described in the Materials and Methods section. The cultivation of the mock was initiated at a cell density of 0.05 OD750. The irradiated samples were subjected to post-irradiation cultivation with the equivalent volume of the mock to cumulate a difference in the growth rate after each X-irradiation. (B) Cell density (OD750) of C. reinhardtii 2 days after single or repetitive X-irradiation. Data represent the mean ± standard error (SE) with n = 9 from three independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Difference in transcriptomic profiles and expression of DDR genes between mock and X- or γ-irradiated C. reinhardtii cells

Gamma irradiation at doses of 3–48 Gy induced the expression of DDR genes in a dose-dependent manner, following nuclear DNA damage in Arabidopsis and rice plants (Ryu et al., 2018; Kim et al., 2021). However, γ-H2AX induction and DDR gene expression were not statistically different within the dose range of 3–12 Gy and almost recovered to the control levels within 24 h. To evaluate the genotoxic stress of X- or γ-irradiation at two different doses proven to stimulate or inhibit cell growth, we compared the genome-wide transcriptomic profiles of C. reinhardtii by RNA-Seq analysis after X- or γ-irradiation at doses of 6 and 50 Gy. The overall transcriptome changes were discriminated by the radiation dose rather than the radiation type and manifested mainly by DDR genes ( Supplementary Figure 3 and Table 1 ). Transcription levels of the seven DDR genes selected from Table 1 were found to increase in a dose-dependent manner but were rarely affected by the radiation type in RT-qPCR analysis ( Figure 3 ). The concerted transcriptional activation of these DDR genes suggests that various types of DNA damage might be induced after X- or γ-irradiation, even at a dose of 6 Gy. Radiation-induced genotoxic stress needs to be further evaluated by physiological tests such as cell death and survival rate assays to explain the growth-stimulatory effect of X- or γ-irradiation at doses below 10 Gy.

Table 1.

Transcriptomic profiles of C. reinhardtii cells after X- or γ-irradiation with two different doses.

ORF name XR6 XR50 GR6 GR50 Gene ID Gene name Description
CHLRE_02g082000v5 3.33 5.54 4.36 3.62 5727320 CrADG DNA repair glycosylase
CHLRE_02g100000v5 2.36 4.04 2.57 4.32 5725571 CrRPA30 replication protein A 30 kDa subunit
CHLRE_03g145687v5 1.85 3.4 1.29 3.25 5721250 CrFEN1 nuclease, Rad2 family
CHLRE_04g214800v5 -1.71 N.D. N.D. -1.74 5724268 CrVMPL1 R-SNARE protein, VAMP-like family
CHLRE_06g263050v5 1.4 2.5 1.09 3.18 5722002 CrEFP2 mitochondrial elongation factor P
CHLRE_06g275750v5 N.D. -1.09 -2.09 N.D. 5721748 CrHTR2 histone H3
CHLRE_10g423800v5 3.16 4.3 2.96 4.82 5728221 CrKU DNA binding protein
CHLRE_12g505500v5 2.2 2.91 1.5 1.65 5716467 CrHTR2 histone H3
CHLRE_12g509400v5 1.48 1.97 1.43 2.67 5716542 CrRIR2B ribonucleoside-diphosphate reductase small subunit
CHLRE_14g622850v5 4.06 5.83 3.58 6.38 5718221 CrRAD51 DNA recombination protein
CHLRE_14g632799v5 1.87 2.5 1.91 3.17 5718230 CrZSP2 lectin-like component of the zygote cell wall
CHLRE_16g664250v5 2.17 3.49 1.78 3.62 5726998 CrOASTL2 cysteine synthase
CHLRE_16g682725v5 1.23 2.84 1.54 3.46 5724816 CrGSTS2 glutathione S-transferase
CHLRE_17g718850v5 3.77 4.9 3.25 5.85 5729312 CrRPA70A replication protein A subunit
CHLRE_17g740950v5 -1.33 -1.22 -1.15 -1.34 5726658 CrLHL4 high intensity light-inducible lhc-like gene

Genes with more than a two-fold transcription change in both X- and γ-irradiated groups and a descriptive annotation for gene name were selected. XR6 (GR6) and XR50 (GR50) represent X-rays (γ-rays) of 6 and 50 Gy, respectively. Digits are log2-transformed of normalized fold change values. Open reading frame (ORF) names are used to alphabetically list the gene names that are temporarily attributed to an ORF by a sequencing project. Underlined genes were shown to be explicitly associated with DNA damage response (DDR) or dose-dependently induced by all the irradiations. The genes in italic have average read counts of no more than 5. N.D., not detected.

Figure 3.

Figure 3

Relative transcription levels of the seven DNA damage response (DDR) genes from RNA-Seq analysis of X- or γ-irradiated C. reinhardtii cells. XR6 (GR6) and XR50 (GR50) represent X-rays (γ-rays) of 6 and 50 Gy, respectively. All transcription levels were measured by quantitative real-time polymerase reaction (RT-qPCR) and are shown relative to the mock by using CrTUBA1 as an endogenous reference gene. Data represent the mean ± standard error (SE) with n = 9 from three independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Difference in cell death and survival rates of C. reinhardtii after X-irradiation with two different doses, 6 and 50 Gy

Flow cytometric analysis has been used as a rapid ecotoxicological tool to evaluate the effects of toxicity in Chlamydomonas cells using appropriate probes (Jamers et al., 2009). Propidium iodide (PI) and 7-aminoactinomycin D (7-AAD) are popular probes for quantifying the proportion of dead cells (Seed and Tomkins, 2016). In this study, mock and X-irradiated C. reinhardtii cells were subjected to double staining with Annexin V and 7-AAD to analyze apoptotic cell death. The cell death rate was significantly higher at 6 h after X-irradiation with 50 Gy and then decreased with time until 48 h, whereas X-irradiation with 6 Gy induced no significant difference in cell death compared to the mock treatment ( Figures 4A, B ). In addition, when the mock and X-irradiated C. reinhardtii cells were cultivated on solid TAP medium for 7 days, the relative cell survival rate decreased to approximately 30% in the 50 Gy irradiated group but showed no significant difference in the 6 Gy group ( Figures 4C, D ). These results demonstrate that the DDR gene expression induced after X-irradiation with 6 Gy, as shown in Table 1 and Figure 3 , does not represent fatal genotoxic stress responses, such as increased cell death and decreased survival rates. Although radiation-induced genotoxic stress or mutagenesis is generally accepted, the physiological responses of C. reinhardtii cells after X- or γ-irradiation are differentially modulated, depending on the absorbed dose.

Figure 4.

Figure 4

Apoptotic cell death and survival rates of C. reinhardtii cells after X-irradiation with 6 or 50 Gy. (A, B) The proportions of apoptotic and necrotic dead cells determined by flow cytometry at 6 h or during 48 h after X-irradiation with 6 or 50 Gy; (C, D) the survival rates of X-irradiated cells relative to the mock 7 days after X-irradiation with 6 or 50 Gy. In (B, D), the data represent the mean ± standard error (SE) with n = 3 (5,000 cells for each) or n = 12 from three or four independent experiments, respectively. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Differences in various metabolic activities of mock and X-irradiated C. reinhardtii cells

X-irradiation at 6 Gy stimulated the growth of C. reinhardtii without inducing cell death or reducing survival ( Figures 1 , 2 , 4 ). The gene ontology and KEGG pathway analyses of genome-wide transcriptomic changes after X- or γ-irradiation revealed substantial up-regulation in various metabolic pathways as well as DDR pathway ( Figure 5 ). Therefore, to understand the favorable growth stimulation of X-irradiation with 6 Gy, we compared the mock and X-irradiated groups in terms of various metabolic activities. When the photosynthetic activity was evaluated by chlorophyll fluorescence analysis, the maximal photochemical efficiency of photosystem II (Fv/Fm), as well as the parameter for photochemical quenching, qP, were not substantially different between the mock and X-irradiated groups ( Figures 6A, B ). However, the parameter for non-photochemical quenching of chlorophyll fluorescence, NPQ, and the maximal electron transport rate of photosynthesis, ETRmax, were significantly increased in the latter group ( Figures 6C, D ). The changes in Fv/Fm, qP, and NPQ after X-irradiation were similar to those previously reported in some γ-irradiated groups of C. reinhardtii (Gomes et al., 2017), but the increase in ETRmax was first observed in this study. The chlorophyll and protein contents were 19% and 16% higher in the X-irradiated group than in the mock group, respectively ( Figures 6E, F ). In addition, the major algal metabolites such as starch and lipid were significantly increased by up to 136% and 130% (or 113% and 109% after normalization against cell density) in the X-irradiated group compared to the mock group, respectively ( Figure 7 ). Correlation and discriminant analyses displayed differential correlations between the metabolic parameters including growth rate, photosynthetic activity, chlorophyll, protein, starch, and lipid contents with a distinct difference between the mock and X-irradiated groups of C. reinhardtii cells ( Supplementary Figure 4 ). These results suggest that the growth stimulation of C. reinhardtii cells by X- or γ-irradiation with 6 Gy or less can be associated with the modulation of photosynthetic activity and enhancement of metabolic activities such as chlorophyll, protein, starch, and lipid synthesis. Our data demonstrate that X- or γ-irradiation with a certain range of relatively low doses can contribute to the improvement of algal biomass and metabolite yields via the growth stimulation of algal cells, despite the potential genotoxicity and oxidative stress.

Figure 5.

Figure 5

KEGG pathway analysis of genome-wide transcriptomic changes in C. reinhardtii cells after X- or γ-irradiation with two different doses. The numbers of common genes with a more than two-fold transcription change in both XR6 and GR6 (or XR50 and GR50) groups are 694 and 443 (or 824 and 541) for 2×UP and 2×DN, respectively. XR6 (GR6) and XR50 (GR50) represent X-rays (γ-rays) of 6 and 50 Gy, respectively.

Figure 6.

Figure 6

Changes in photosynthetic activity, chlorophyll, and protein contents of C. reinhardtii cells after repetitive X-irradiation with 6 Gy. (A–D) The chlorophyll fluorescence and quenching parameters Fv/Fm, qP, NPQ, and the maximal electron transport rate ETRmax were obtained and used to evaluate the photosynthetic activity of C. reinhardtii cells as described in the Materials and Methods section. (E, F) The chlorophyll and protein contents (μg) of C. reinhardtii cells (108). Data represent the mean ± standard error (SE) with n = 9 from three independent experiments. Asterisks indicate significant differences between mock (white bars) and irradiated samples (gray bars) based on a two-sample independent t-test (p < 0.05).

Figure 7.

Figure 7

Changes in starch and lipid contents of C. reinhardtii cells after repetitive X-irradiation with 6 Gy. (A) The starch content was expressed relative to the mock by the absorbance at 580 nm after staining with the iodine reagent. (C) The lipid content was calculated relative to the mock by the signal at excitation 560 nm and emission 635 nm after staining with the Nile Red reagent. (B, D) The observed values were normalized against cell density (OD750) to get the starch or lipid content in the same number of cells and then expressed relative to the mock. Data represent the mean ± standard error (SE) with n = 9 from three independent experiments. Asterisks indicate significant differences between mock (white bars) and irradiated samples (gray bars) based on a two-sample independent t-test (p < 0.05).

Enhanced growth stimulation of C. reinhardtii cells by cultivating with supplemented carbon source after repetitive X-irradiation with a relatively low dose, 6 Gy

Carbon, nitrogen, and light are important factors in the growth and biomass yield of the green alga Chlamydomonas (Moon et al., 2013; Mortensen and Gislerod, 2015; Yang et al., 2018; Bialevich et al., 2022). Therefore, we investigated the combined effect of repetitive ‘low-dose’ X-irradiation and carbon source supplementation, as shown in Figure 8A . Although the standard TAP medium used in this study contained acetate as an organic carbon source, two concentrations (5 and 10 mM) of sodium bicarbonate (NaHCO3) as an inorganic carbon source were added to the TAP medium for growth stimulation. The growth rates of C. reinhardtii cells in the NaHCO3-supplemented TAP medium greatly increased in a concentration-dependent manner and significantly more increased when cultivated following X-irradiation at 6 Gy ( Figure 8B ). However, the enhanced growth stimulation after repetitive X-irradiation was not significant in TAP medium containing NaHCO3. When cultivated in 5 or 10 mM NaHCO3-supplemented TAP medium for 5 days after X-irradiation with 6 Gy, the growth rate of C. reinhardtii cells increased by 55% and 84% at 3 days after X-irradiation, respectively ( Supplementary Figure 5 ). This growth stimulation was much stronger than the 37% or 42% induced by a single treatment with 5 or 10 mM NaHCO3 without X-irradiation. Taken together, the combination of X-irradiation at 6 Gy and NaHCO3 supplementation at 5 or 10 mM induces a synergistic effect for growth stimulation in Chlamydomonas cultivation.

Figure 8.

Figure 8

Synergistic growth stimulation of C. reinhardtii cells by cultivating in TAP medium containing sodium bicarbonate after repetitive X-irradiation with 6 Gy. BC05, BC10, and XR6 represent 5 and 10 mM NaHCO3 and X-rays of 6 Gy, respectively. (A) A schematic diagram of repetitive X-irradiation and treatment of NaHCO3. The absorbed dose of 6 Gy was repeatedly applied to the X-irradiated cells having an interval of 2 days. The cultivation of the mock was initiated at a cell density of 0.05 OD750. The irradiated and/or treated samples were subjected to post-irradiation and/or post-treatment cultivation with the equivalent volume of the mock to cumulate a difference in the growth rate after each X-irradiation and/or treatment of NaHCO3. (B) Cell density (OD750) of C. reinhardtii 2 days after single or repetitive X-irradiation. Data represent the mean ± standard error (SE) with n = 6 from two independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Radiation-sensitivity of different genotypes associated with a dose range of X-irradiation for growth stimulation of C. reinhardtii cells

Even in the same species, general stress responses are expected to differ according to individual genotypes. As Chlamydomonas is a widely used algal platform for recombinant protein production (Kumar et al., 2013; Rasala and Mayfield, 2015; Doron et al., 2016; Ma et al., 2022), the applicability of radiation-induced growth stimulation is worth investigating in transgenic Chlamydomonas producing recombinant proteins. Therefore, two transgenic C. reinhardtii lines (AtTHI-OE1 and AtTHI-OE2), which overexpress AtTHI2.1 gene encoding Arabidopsis antibacterial proteins, thionins, were randomly selected and compared with wild type (WT) in the cell growth and survival rates after X-irradiation at a dose range of 6–50 Gy ( Supplementary Figure 6 and Figure 9 ). The cell growth rate after X-irradiation was distinctly different between WT and AtTHI-OE1 or AtTHI-OE2 lines, showing the growth stimulation in the 6 Gy group for WT and in the 12 Gy group for AtTHI-OE1 and AtTHI-OE2 ( Supplementary Figure 6B ). When the mock and X-irradiated C. reinhardtii cells were cultivated for 7 days on solid TAP medium, the relative cell survival rate was higher in the AtTHI-OE1 and AtTHI-OE2 lines than in the WT after X-irradiation with 25 or 50 Gy ( Figure 9 ). The survival rate started to decrease in the 6 Gy group for WT and the 12 Gy group for AtTHI-OE1 and AtTHI-OE2 in a dose- and genotype-dependent manner. In addition, the expression levels of two DDR genes CrRPA70A and CrRAD51 were generally lower in the AtTHI-OE1 and AtTHI-OE2 lines than in the WT after X-irradiation ( Supplementary Figure 6C ). These results suggest that the radiation sensitivity of C. reinhardtii cells differs among genotypes and may be closely associated with an optimal dose range of X-irradiation for growth stimulation.

Figure 9.

Figure 9

Differences in survival rates of wild type and transgenic lines of C. reinhardtii on solid TAP medium after X-irradiation with different doses. The survival rates of X-irradiated cells relative to the mock were calculated by counting the number of colonies on the solid TAP medium 7 days after X-irradiation with 6, 12, 25, or 50 Gy. WT, wild type. XR6, XR12, XR25, and XR50 represent X-rays of 6, 12, 25, and 50 Gy, respectively. Data represent the mean ± standard error (SE) with n = 6 from two independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test).

Correlation between ROS accumulation and radiation-induced growth stimulation of C. reinhardtii cells after X-irradiation with 6 Gy

Ionizing radiation generates various types of ROS such as hydrogen peroxide (H2O2) and hydroxyl radical (•OH) in a dose-dependent manner via water radiolysis (Lee et al., 2009). Especially, H2O2 is the main ROS to mediate both oxidative damage and signaling in plants and algae (Quan et al., 2008; Battah et al., 2015; Niu and Liao, 2016; Fal et al., 2022). X-irradiation at a dose range of 3–100 Gy induced a biphasic increase of ROS in a dose- and dose rate-dependent manner including the relatively low doses of 3 and 6 Gy ( Supplementary Figure 7 ). In contrast, the in vivo accumulation of radiation-induced ROS in C. reinhardtii cells after X-irradiation with 6 Gy decreased from 33.6% to 18.4% by a subsequent treatment of ascorbic acid (AA), a ROS scavenger ( Figure 10A ). Therefore, we investigated the effect of ROS accumulation on the radiation-induced growth stimulation of C. reinhardtii cells. The radiation-induced growth stimulation of C. reinhardtii cells after X-irradiation with 6 Gy significantly decreased from 9.6% to 3.3% or from 20.6% to 11.7% by AA treatment before heterotrophic or mixotrophic cultivation, respectively ( Figure 10B ). These results suggest that radiation-induced growth stimulation could be closely associated with ROS accumulation and signaling.

Figure 10.

Figure 10

Changes in ROS levels and growth rates of C. reinhardtii cells by treatment of ascorbic acid (AA) following X-irradiation with 6 Gy. XR6 represents X-rays of 6 Gy. (A) The ROS level was calculated relative to the mock without AA treatment by the DCF signal at excitation 480 nm and emission 530 nm as described in the Materials and Methods section. (B) Cell density (OD750) of C. reinhardtii 2 days after the second repetitive X-irradiation. Cells were incubated without or with 1 mM AA for 1 h at 25°C after X-irradiation, and were subjected to heterotrophic (H) cultivation in darkness or mixotrophic (M) cultivation under light for 2 days. Data represent the mean ± standard error (SE) with n = 6 from two independent experiments. Different letters indicate significant differences at p < 0.05 (one-way analysis of variance followed by Tukey’s honestly significant difference test). Digits in parentheses are percent differences in average between mock and irradiated cells.

Discussion

Ionizing radiation has been used as a potent mutagen for Chlamydomonas mutation breeding (Baek et al., 2016; Koo et al., 2017b). It is also regarded as an oxidative stress inducer that generates ROS via water radiolysis (Lee et al., 2009; Gomes et al., 2017; Singh et al., 2022). Gamma irradiation at a dose range of 0.5–4 kGy inhibited the growth of Chlorella sorokiniana cells in a dose-dependent manner (Singh et al., 2022). In contrast, this study demonstrated that X- or γ-irradiation at a relatively low dose below 10 Gy substantially increased the growth of C. reinhardtii cells rather than cell death ( Figures 1 , 2 , 4 ). The counterintuitive dose-response was previously reported in red pepper (Capsicum annuum L.) plants, enhancing growth and stress resistance after γ-irradiation with 2 or 4 Gy (Kim et al., 2005). In addition, γ-irradiation with a much lower dose of 0.1 Gy decreased oncogene-induced malignant transformation in human cells through the reduction of ROS (Kim et al., 2015b). The bioeffects of low-dose or low-dose-rate ionizing radiation are controversial and depend on, among others, animal genetic background, age, sex, nature of radiation exposure, type of radiation, and the combination of radiation with other toxic agents in animal models (Tang et al., 2017). However, our results imply that the growth stimulatory effect of ionizing radiation at relatively low doses can be substantiated in algal cells. Although ionizing radiation is a potent mutagenic agent for algal breeding, it may also be an efficient elicitor to facilitate algal cultivation.

The growth of C. reinhardtii cells was substantially enhanced by X-irradiation at 6 Gy but was inhibited by treatment with 50 Gy ( Figure 1 ). In comparison, X-irradiation at doses of 6 and 50 Gy significantly increased both starch and lipid contents in a dose-dependent manner ( Figure 7 and unpublished data). The effects of X-irradiation with 6 Gy were comparable to those of the synthetic compounds WD10784 and WD30030, which increased starch and/or lipid synthesis in Chlamydomonas cells without restricting growth or biomass yield (Wase et al., 2019). Metabolic remodeling of synthetic inducers is associated with increased substrate availability for starch and lipid synthesis, but that of ionizing radiation at relatively low doses has rarely been elucidated in photosynthetic organisms such as plants and algae. The DEGs in C. reinhardtii cells after X- or γ-irradiation with 6 or 50 Gy were mainly associated with DDR in a dose-dependent manner ( Table 1 and Figure 6 ). The transcriptomic changes in C. reinhardtii cells after X- or γ-irradiation with 6 or 50 Gy were much less than those in Arabidopsis plants after γ-irradiation at 200 Gy (Kim et al., 2013). Probably due to the limited numbers or insufficient annotations of common genes with a more than two-fold transcription change in both the X- and γ-irradiated groups, the DEGs were substantially up-regulated in various metabolic pathways as well as DDR pathway, but were difficult to be causally associated with the differences in growth and metabolic activities between the 6 and 50 Gy groups ( Figures 5 ). However, because relatively low doses below 10 Gy accumulated ROS in C. reinhardtii cells (Gomes et al., 2017), the overall transcriptomic changes caused by mild oxidative stress may partly contribute to the altered metabolic activities and growth stimulation. The radiation-induced growth stimulation of C. reinhardtii cells may be associated with enhanced metabolic activities, such as photosynthesis, chlorophyll, and protein synthesis. Considering the dynamic metabolic carbon flow that modulates the relative proportions of starch and lipids in a reverse relationship (Sato and Toyoshima, 2021), the simultaneous enhancement of starch and lipid synthesis after X-irradiation with 6 Gy is likely to be attributed to the metabolic alterations associated with growth stimulation.

The chlorophyll fluorescence parameters (NPQ and ETRmax) for photosynthetic activity and chlorophyll content increased simultaneously and significantly in C. reinhardtii cells after X-irradiation at 6 Gy ( Figures 6C, D ). In contrast, γ-irradiation at doses of approximately 6 Gy was previously reported to increase NPQ but decrease qP and ETR (Gomes et al., 2017). This difference may be due to the high-salt growth medium and the much lower dose rate of γ-irradiation, which were used in the latter study. When Arabidopsis plants were gamma-irradiated with total doses of 3.9, 6.7, 14.8, and 58.8 Gy at dose rates of 23.3, 40.4, 89.2, and 353.1 mGy h-1, they displayed a decrease in NPQ but an increase in ETRmax (Vanhoudt et al., 2014). However, after γ-irradiation at a dose rate of 50 Gy h-1 for 4 h, NPQ was found to consistently decrease with ETRmax or the performance index of photosynthesis in various plant species, including Arabidopsis, Chinese cabbage, cucumber, tomato, lettuce, and red pepper (Moon et al., 2008; Kim et al., 2011). Therefore, the increased NPQ in C. reinhardtii cells after X- or γ-irradiation with approximately 6 Gy does not imply a substantial decrease in photosynthetic activity. Rather, this may be a photoprotective mechanism for the enhanced ETRmax due to increased chlorophyll content. Taken together, the metabolic parameters including growth rate, photosynthetic activity, chlorophyll, protein, starch, and lipid contents seem to be correlated but not in a causal relationship ( Supplementary Figure 4 ). In Chlorella sorokiniana cells, γ-irradiation at a dose range of 0.5–4 kGy decreased growth, chlorophyll content, and photosynthetic efficiency in a dose-dependent manner but increased ROS and lipid accumulation (Singh et al., 2022). The growth stimulatory effects of X- or γ-irradiation with a certain range of relatively low doses in algal cells could be associated with enhanced metabolic activities but not explained by a causal relationship between them.

In the commercial cultivation of Chlamydomonas cells, nutrient composition and culture conditions are critical factors affecting cell growth and biomass yield (Fields et al., 2018; Yang et al., 2018; Bialevich et al., 2022). In this study, we demonstrated that radiation-induced growth stimulation of C. reinhardtii cells was more strongly enhanced through batch cultivation in fresh TAP medium supplemented with an inorganic carbon source, NaHCO3, after single or repetitive X-irradiation with 6 Gy ( Figure 8 and Supplementary Figure 5 ). In addition, the growth stimulation of C. reinhardtii cells after X-irradiation with 6 Gy was different in minimal TP, reused TAP, or nitrogen source-supplemented medium (unpublished data). This implies that different nutrient compositions could modulate the low-dose growth stimulation of Chlamydomonas cells. Therefore, although the early growth stimulation of red pepper plants after γ-irradiation with 2 or 4 Gy was not evaluated at later developmental stages (Kim et al., 2004; Kim et al., 2005), the culture conditions of unicellular green algae such as Chlamydomonas can be more easily optimized for low-dose X- or γ-irradiation to substantially increase growth and biomass yield.

As the low-dose radiation-induced bioeffects are known to differ by, among others, the genetic background and age in animal models (Tang et al., 2017), the genotype and growth phase of C. reinhardtii cells were considered critical factors affecting the radiation-induced stimulatory effects throughout the present study. Algae have been used as a potential platform to produce recombinant proteins through nuclear and chloroplast transformations (Rasala and Mayfield, 2015; Doron et al., 2016). The integration of transgenes in algal genomes and their expression may affect low-dose radiation-induced stimulatory effects, such as enhanced growth and metabolic activities, by establishing a new genotype. In this study, the radiation-induced growth stimulation of C. reinhardtii cells was differentially observed in the 6 Gy group for WT but in the 12 Gy group for two transgenic lines, AtTHI-OE1 and AtTHI-OE2, which was associated with the differences in the relative cell survival rate and DDR gene expression between the two groups ( Supplementary Figure 6 and Figure 9 ). Therefore, genotype-dependent radiation sensitivity may determine a specific dose range for the stimulatory effects of ionizing radiation in C. reinhardtii cells. In addition, an epigenetic transgene silencing pathway has recently been elucidated in the green alga Chlamydomonas (Neupert et al., 2020). Epigenetic regulatory mechanisms need to be explored for elucidating low-dose radiation-induced stimulatory effects in nuclear-transformed transgenic lines with transgene silencing or growth inhibition.

The radiation-induced growth stimulation of C. reinhardtii cells may be explained by epigenetic regulatory mechanisms for stress priming, which have been reported in plant stress responses (Kim, 2021). Ionizing radiation influences the expression of DDR genes via chromatin remodeling and epigenetic regulation (Mondal et al., 2016; Kim, 2019). It can induce oxidative stress responses by generating ROS and activating various defense mechanisms for stress priming in plant and algal cells (Kim et al., 2005; Gomes et al., 2017). In fact, this study demonstrated that the radiation-induced growth stimulation of C. reinhardtii cells after X-irradiation with 6 Gy was closely associated with ROS accumulation and significantly inhibited by treatment of AA, a ROS scavenger ( Supplementary Figure 7 and Figure 10 ). Therefore, X- or γ-irradiation with a certain range of relatively low doses seems to induce stress memory or priming effects as an elicitor, contributing to enhanced growth and metabolic activities via ROS-mediated metabolic remodeling. The stimulatory effects of low-dose radiation in C. reinhardtii cells imply that potential DNA damages from genotoxicity may not necessarily determine the fate of irradiated cells. This hypothesis is also supported by the fact that treatment with a ROS scavenger inhibited metabolic remodeling for lipid accumulation in the γ-irradiated cells of Chlorella sorokiniana (Singh et al., 2022). In addition, since radiation-induced metabolic disturbances such as chlorosis or delayed senescence in Arabidopsis plants differed according to the developmental stage subjected to γ-irradiation with 200 Gy (Kim et al., 2009; Kim et al., 2011), the different sensitivities of individual plants or cells to ionizing radiation may be crucial in determining radiation-induced damage or priming effects. We suggest ROS-mediated stress priming or memory as one of the mechanisms that enable the counterintuitive stimulatory effects of ionizing radiation on C. reinhardtii cells. This phenomenon of low-dose radiation is also recognized as a bystander effect and adaptive response in animal systems (Bonner, 2003).

Conclusion

In this study, we demonstrated that ionizing radiation within a certain dose range determined by genotype-dependent radiation sensitivity could act as an elicitor to induce growth stimulation and enhance metabolic activities, including photosynthesis, chlorophyll, protein, starch, and lipid synthesis in Chlamydomonas cells. This is the first report to reveal the counterintuitive beneficial effects of a genotoxic and abiotic stress factor, ionizing radiation, in the unicellular algal organism Chlamydomonas. The data obtained from the unicellular Chlamydomonas system were evaluated as new practical examples of low-dose or low-dose-rate radiation-induced positive bioeffects, which have been reported mainly in plant and animal systems. However, many low-dose radiation-induced bioeffects, including our results, remain to be further elucidated regarding detailed causal mechanisms, such as epigenetic regulation.

Data availability statement

The original contributions presented in the study are publicly available. This data can be found here: NCBI, GSE218435.

Author contributions

J-HK conceived, designed, and supervised the study. J-HK, SKD, and KH performed the experiments and generated the raw data. J-HK and SKD analyzed, interpreted, and visualized the data. J-HK wrote the manuscript and SKD, BYC, SSL, and SL critically reviewed the manuscript. All authors contributed to the article and approved the submitted version.

Funding Statement

This study was supported by the KAERI Institutional Program (Project No. 523220-22), Republic of Korea. This funding body did not play any role in the design of this study and collection, analysis, and interpretation of data, and in writing the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1087070/full#supplementary-material

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The original contributions presented in the study are publicly available. This data can be found here: NCBI, GSE218435.


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