Impact Factor 3.258 | CiteScore 2.7
More on impact ›

Original Research ARTICLE

Front. Genet., 19 February 2021 |

MazEF Toxin-Antitoxin System-Mediated DNA Damage Stress Response in Deinococcus radiodurans

Jingli Dai1,2†, Zijing Chen1,2†, Jinfeng Hou1,2, Yudong Wang1,2, Miao Guo1,2, Jiajia Cao1,2, Liangyan Wang1,2, Hong Xu1,2, Bing Tian1,2 and Ye Zhao1,2*
  • 1Institute of Biophysics, College of Life Sciences, Zhejiang University, Hangzhou, China
  • 2MOE Key Laboratory of Biosystems Homeostasis and Protection, Zhejiang University, Hangzhou, China

Deinococcus radiodurans shows marked resistance to various types of DNA-damaging agents, including mitomycin C (MMC). A type II toxin-antitoxin (TA) system that responds to DNA damage stress was identified in D. radiodurans, comprising the toxin MazF-dr and the antitoxin MazE-dr. The cleavage specificity of MazF-dr, an endoribonuclease, was previously characterized. Here, we further investigated the regulatory role of the MazEF system in the response to DNA damage stress in D. radiodurans. The crystal structure of D. radiodurans MazF (MazF-dr) was determined at a resolution of 1.3 Å and is the first structure of the toxin of the TA system of D. radiodurans. MazF-dr forms a dimer mediated by the presence of interlocked loops. Transcriptional analysis revealed 650 downregulated genes in the wild-type (WT) strain, but not in the mazEF mutant strain, which are potentially regulated by MazEF-dr in response to MMC treatment. Some of these genes are involved in membrane trafficking and metal ion transportation. Subsequently, compared with the WT strain, the mazEF mutant strain exhibited much lower MMC-induced intracellular iron concentrations, reactive oxygen species (ROS), and protein carbonylation levels. These results provide evidence that MazEF-mediated cell death in D. radiodurans might be caused by an increase in ROS accumulation upon DNA damage stress.


Toxin-antitoxin (TA) modules, composed of a toxin gene and its cognate antitoxin, are widespread in most prokaryotic genomes (Ramisetty and Santhosh, 2017; Harms et al., 2018; Fraikin et al., 2020; Riffaud et al., 2020). Despite their implications is still a debatable topic, TA systems are linked to diverse biological processes, e.g., the stabilization of mobile elements through postsegregational killing, abrogation of bacteriophage infections through altruistic suicide, and formation of antibiotic-tolerant cells known as persisters (Nariya and Inouye, 2008; Van Melderen and De Bast, 2009; Slayden et al., 2018; Ronneau and Helaine, 2019). According to the nature and function of the toxins, TA systems can be divided into at least eight categories (Hayes and Van Melderen, 2011). Type I and type III antitoxins are RNA molecules that regulate the expression of toxin proteins by inhibiting either toxin mRNA translation or the toxin protein directly. While type II antitoxin proteins directly bind to and inhibit toxin proteins, type IV antitoxins indirectly counteract toxins, e.g., by reversing their effect on the targets.

In general, the MazEF system is an extensively studied type II TA module (Engelberg-Kulka et al., 2006; Ramisetty et al., 2015; Nikolic, 2019). The MazE antitoxin directly binds to the MazF toxin and forms a protein-protein complex, resulting in its neutralization. MazE is a short-lived protein in vivo and is degraded by proteases of the Clp family or by Lon under stress conditions. After MazE degradation, MazF is unleashed from the complex and acts as a sequence-specific endoribonuclease that cleaves RNAs, e.g., MazF in Escherichia coli recognizes the 3′ end of the first A base in an ACA sequence as the core cleavage site (Zhang et al., 2003; Munoz-Gomez et al., 2004). In addition, the MazF-mediated cell growth inhibition can be activated by various stress conditions, including antibiotics, high temperature, salt stress, DNA damage [caused by exposure to nalidixic acid, mitomycin C (MMC), or UV radiation], oxidative stress [caused by hydrogen peroxide (H2O2)] and amino acid starvation (Ramisetty et al., 2015; Lee and Lee, 2019). Moreover, it has been shown that the MazEF system plays an important role in biofilm formation in some bacteria (Kolodkin-Gal et al., 2015; Ma et al., 2019).

The crystal structures of MazF toxins from various bacteria have been determined. MazF proteins usually form homodimers, and the substrate RNA-binding site of the MazF protein is located near the dimeric interface, which undergoes a conformational change upon high-affinity binding of the MazE antitoxin protein (Kamada et al., 2003; Chen R. et al., 2020). Therefore, interactions between MazE and MazF exclude the RNA binding of MazF, leading to inhibition of the endoribonuclease activity of MazF protein.

Deinococcus radiodurans is an extremophilic bacterium that shows extraordinary resistance against environmental stressors, including ionizing radiation, ultraviolet radiation, oxidants, and MMC (Timmins and Moe, 2016; Lim et al., 2019; Chen Z. et al., 2020). Multiple mechanisms have been shown to contribute to the robustness of D. radiodurans, including strong cell defense systems, efficient DNA repair capability, and self-cleaning systems. In addition to the well-established DNA repair systems and antioxidation activities, a type II TA system, the MazEF-dr system, is found to promote dell death through the endoribonuclease activity of the MazF toxin in response to DNA damage in D. radiodurans (Li et al., 2017; Miyamoto et al., 2017). MazF-dr protein displayed cleavage preference for the RNA substrate, that is, at the nucleotide prior to the conserved ACA sequence with the order U > A > G > C. By searching the NCBI Reference Sequence Database, not all the Deinococcus species contain the MazEF system, indicating that presence of MazEF is not likely to be a byproduct of natural selection of environmental stressors but caused by the horizontal gene transfer events. Nevertheless, the detailed mechanism of MazEF-dr system-mediated DNA damage response in D. radiodurans remains unclear.

In the present study, the crystal structure of MazF-dr was determined. In addition to decreased MazE-dr protein levels in vivo under MMC stress, RNA-seq analyses of the wild-type (WT) and mazEF mutant strains of D. radiodurans upon MMC treatments revealed 650 downregulated genes that could potentially be regulated by the MazEF-dr system. Functional annotation analyses using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases suggested that these genes are enriched in membrane trafficking, metal ion transportation, and cell division. These data, together with biochemical studies, provide insights into MazEF-dr system regulation in response to DNA damage in D. radiodurans.

Materials and Methods

Growth Curve Measurements

Growth curves measurements were performed as previously described (Dai et al., 2020). WT and mazEF mutant strains were grown to early exponential phase, and then 100 μL cultures were resuspended in 50 mL fresh prepared TGY broth at 30°C. The optical density at 600 nm (OD600) was measured at every 4 h for a total incubation period of 40 h. Experiments were repeated three times.

Quantitative Real-Time PCR (RT-qPCR)

Total RNA of both wild type and mazEF mutant strains were extracted as described (Dai et al., 2020) and then cDNA was amplified using SYBR Premix Ex TaqTM GC (TaKaRa). RT-qPCR assays were performed using the Mx3005TMP Real-time detection system (Agilent, United States) and groEL was used to normalize RNA input. Experiments were repeated three times. RT-qPCR primers are listed in Supplementary Table S1.

Strains, Plasmids and Growth Media

The mazEF (DR_0416-DR_0417) mutant strain was constructed as previously described (Supplementary Figures S1a,b) (Li et al., 2017). Compared with WT, cells devoid of mazEF gene showed similar cell growth under normal conditions (Supplementary Figure S1c). The transcriptional levels of two adjacent genes, DR_0415 and DR_0418, in both wild-type (WT) and mazEF mutant strains exhibited no significant difference under normal conditions (Supplementary Figure S1d), indicating that disruption of mazEF did not affect the functions of bordering genes. The E. coli strains used in this study were grown in lysogeny broth (LB) (1% tryptone, 0.5% yeast extract, and 1% sodium chloride) or LB agar at 37°C supplemented with 40 μg/mL kanamycin if necessary. All D. radiodurans strains were grown at 30°C in TGY broth (0.5% tryptone, 0.1% glucose, and 0.3% yeast extract) or on TGY agar, containing 30 μg/mL kanamycin or 10 μg/mL streptomycin if needed. The bacterial strains and plasmids used in this study are listed in Supplementary Table S1.

Extraction of Total RNA From D. radiodurans

Wild-type and mazEF mutant cells were incubated to an OD600 of 0.8, centrifuged, and resuspended in PBS buffer (pH 7.0). Each suspension was divided in half: one half was treated with 15 μg/mL MMC for 30 min, and the other half was incubated without MMC under the same conditions. Total RNA of two biological replicates from each group was isolated using the TRIzol method according to the manufacturer’s protocol (Ambion, Foster City, CA, United States). Four micrograms of RNA per sample was used as the input material for library preparation, and then, a Ribo-ZeroTM Magnetic Kit (Epibio, MRZB12424) was used to remove rRNA. RNA concentration and RNA integrity were assessed using an RNA Nano 6000 Assay Kit and a Bioanalyzer 2100 system (Agilent Technologies, Santa Clara, CA, United States). Index codes were added to attribute sequences to each sample. The resultant libraries were sequenced on an Illumina HiSeq platform using the sequencing by synthesis (SBS) method and paired-end reads were generated. Raw reads were submitted to the NCBI Gene Expression Omnibus (GEO) under accession number GSE97563.

RNA-Seq Data Analysis

The Kolmogorov–Smirnov test was used for the randomness test to ensure that the position distribution of the read length was distributed evenly. Differential expression analysis was performed using the differentially expressed genes (DEG) method (1.18.0), which provides statistical routines for determining differential expression in digital gene expression data using a negative binomial distribution model. Genes with adjusted p-values <0.05 were considered significantly differentially expressed.

Gene Ontology and KEGG pathway analyses were used to identify the enriched molecular functions and associated biological pathways of DEGs. The enrichment analyses were carried out through an online bioinformatics tool named The Database for Annotation, Visualization, and Integrated Discovery (DAVID2) (Huang et al., 2009). Only terms with a p < 0.05 were considered to be significant. Subcellular localization was analyzed using CELLO1 v.2.5.

Protein Expression and Purification

MazF-dr was cloned into the expression vector pET28a+. E. coli BL21 (λDE3) pLysS cells transformed with expression vectors were cultured in LB with 40 μg/mL kanamycin. Protein expression and purification were performed according to a previously described method (Li et al., 2017).

Crystallization, Data Collection, and Structure Determination

The MazF-dr protein containing an N-terminal 6× His-tag was concentrated to 5 mg/mL, and crystals were grown by the sitting-drop vapor diffusion method, using the IndexTM-HR-144 kit (Hampton Research, Aliso Viejo, CA, United States) for initial screening at 293 K. MazF-dr crystals were optimized and obtained in the reservoir solution containing 0.2 M ammonium sulfate, 0.1 M Bis-Tris (pH 5.5), and 25% w/v polyethylene glycol 3350. Cryocooling was done by soaking the crystals in the reservoir solution containing 10, 20, and 30% glycerol for 3 min and flash freezing in liquid nitrogen. Diffraction intensities were recorded on beamline BL17U at the Shanghai Synchrotron Radiation Facility (Shanghai, China) and were integrated and scaled using the XDS suite (Kabsch, 2010). The structure was determined by molecular replacement using a published MazF structure (PDB ID: 6KYS) (Chen R. et al., 2020) as the search model. Structures were refined using PHENIX (Liebschner et al., 2019) and interspersed with manual model building using COOT (Emsley et al., 2010). Later stages of refinement utilized TLS group anisotropic B-factor refinement. MazF-dr forms a dimer in the crystallographic asymmetric unit. The refined structure includes 110 amino acids of MazF-dr (residues 4–113 from each protomer). All the residues were in the most favorable (97%) and allowed regions (3%) of the Ramachandran plot. All structural figures were rendered in PyMOL2.

Western Blot Analysis

Deinococcus radiodurans strain was cultured in 500 mL of TGY broth at 30°C until the OD600 reached 0.8 and then divided into three parts, two of which were treated with 5 or 15 μg/mL MMC for 30 min, and the other part was untreated as a control group. Cells were then collected by centrifugation, washed twice with PBS, and resuspended in 3 mL of PBS for sonication. After centrifugation, the supernatant was subjected to SDS-PAGE using a 12% acrylamide resolving gel and electrotransferred onto a nitrocellulose membrane (0.22 μm, Pall Biotech, Shanghai, China). The membrane was blocked with 5% non-fat milk in 1× TBST and probed with anti-MazE-dr polyclonal antibody (homemade in the Animal Center of Zhejiang University of Traditional Chinese Medicine) overnight at 4°C, followed by HRP goat anti-rabbit antibody (1:10,000 dilution, Servicebio, Wuhan, China). The membrane was washed with TBST and developed using ECL reagents (Pierce, MA, United States) and imaged by exposure to light-sensitive film. The expression level of GroEL detected by a rabbit anti-GroEL polyclonal antibody was served as an internal control (Sigma, United States).

Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

Inductively coupled plasma mass spectrometry (ICP-MS) was performed as previously described (Dai et al., 2020). Cells were cultured in 500 mL of TGY broth until the OD600 reached 0.8, centrifuged and resuspended in TGY broth. Each suspension was divided in half: half was treated with 15 μg/mL MMC for 30 min, and the other half was incubated without MMC for the same duration. After harvesting, cells were washed using PBS containing 1 mM EDTA three times and then rinsed three times with PBS without EDTA. After drying for 12 h with a freeze-dryer (FD-1A-50, BIOCOOL, China), the cells were treated with 5 mL of Ultrex II nitric acid (Fluka AG., Buchs, Switzerland) and 1 mL of H2O2 at 100°C for 2 h. The concentrations of metal ions were measured by ICP-MS (ELAN DRC-e, PerkinElmer, United States).

Measurements of Intracellular ROS Levels

Reactive oxygen species (ROS) levels were measured using 2′,7′-dichlorofluorescein diacetate (DCFH-DA) as a molecular probe. A 4-mL sample of cell cultures (OD600 = 0.8) was washed three times with PBS, resuspended in PBS containing 0.1 μm DCFH-DA, and incubated at 37°C for 30 min. After incubation, the cells were washed three times with PBS and resuspended in 4 mL of TGY. Each 1-mL sample was then treated with 10, 20, and 30 μg/mL MMC for 30 min, respectively, and a 1-mL sample without treatment was used as a control. For H2O2 treatment, each 1-mL sample was treated with 20, 40, and 80 mM H2O2 for 30 min, respectively, and a 1-mL sample without treatment was used as a control. DCFH-DA is hydrolyzed to DCFH by esterase and then oxidized by intracellular ROS to DCF, which produces fluorescence that can be measured using a fluorescence spectrophotometer (SpectraMax M5) at an excitation wavelength of 488 nm and an emission wavelength of 525 nm.

Measurements of Protein Carbonylation Levels

Protein carbonylation was measured using the 2,4-dinitrophenyl hydrazine (DNPH) spectrophotometric method. Cell culture (OD600 = 0.8) was treated with 15 μg/mL MMC for 30 min, harvested, and resuspended in PBS. Cells were lysed using sonication, and the protein concentration in the cell-free extract was determined by the Bradford method. The cell extract was then incubated with 10 mM DNPH in 2 M HCl for 2 h in the dark. After precipitation by 10% trichloroacetic acid at 4°C, the precipitated proteins were washed three times with 50% ethyl acetate in ethanol. After evaporation, the protein sediments were dissolved in 6 M guanidine hydrochloride and centrifuged. The absorbance of the supernatant was determined at 370 nm against a protein control that had been processed in parallel but with 2 M HCl instead of DNPH. The protein carbonyl content was quantified in mmol/μg protein.


Crystal Structure of MazF-dr

Sequence alignment revealed that MazF-dr has a similar overall domain arrangement as other bacterial MazF proteins, sharing 23% and 46% amino acid identity with the Bacillus subtilis and E. coli MazF proteins, respectively (Figure 1A). Crystal structure of full-length MazF-dr was determined at 1.3 Å resolution, which is the highest resolution currently known for MazF structures. MazF-dr crystallizes in space group P43212 with a twofold symmetric dimer molecule in the crystallographic asymmetric unit. These two protomers could be well superimposed on each other with a root mean square deviation (rmsd) of 0.121 Å over 82 pairs of Cα atoms. The crystal data, together with the data collection and refinement statistics, are summarized in Table 1.


Figure 1. Structure of MazF-dr. (A) Structure-based sequence alignment of MazF proteins. MazF proteins from D. radiodurans, B. subtilis, E. coli, and S. aureus are denoted as dr_mazF, bs_mazF, ec_mazF, and sa_mazF, respectively. Residues conserved within MazF proteins are colored white. Two catalytic residues, namely, Arg29 and Thr52, are highlighted in red. (B) Structure of the MazF-dr protomer. Secondary structures, the β1–β2 loop and N- and C-termini are colored and labeled. Two catalytic residues, namely, Arg29 and Thr52, are shown as sticks and highlighted in magenta. (C) The MazF-dr dimer is shown as a cartoon, and the two protomers are colored green and yellow. Structural elements including the β1–β2 loop located at the dimer interface are labeled.


Table 1. Data collection, phasing, and refinement statistics.

Each protomer of MazF-dr is composed of three α-helices and seven β-strands, which form the typical MazF/CcdB fold frequently observed in published MazF structures (Figure 1B). As a typical MazF protein, MazF-dr could be aligned well with MazF homologs, including MazF from E. coli (PDB ID: 5CK9) (Zorzini et al., 2016), B. subtilis (PDB ID: 1NE8) (Gogos et al., 2003), and Staphylococcus aureus (PDB ID: 4MZM) (Zorzini et al., 2014) (Supplementary Figure S2). The rmsd of MazF-dr among these structures ranged from 0.469 to 1.347 Å over 58–73 Cα atoms, indicating the conserved overall conformation of MazF-dr. We performed the structure similarity search via DALI server using the entire MazF-dr structure as the query, and the highest score was for the MazF-mt1 protein from Mycobacterium tuberculosis (PDB ID: 6KYS, Supplementary Figure S2) (Chen R. et al., 2020). Similarly, the dimeric interface of MazF-dr calculated by the PISA server occupies a total buried surface area of 1,262 Å2 (21% of the total solvent-accessible surface area), suggesting the tight dimer formation of MazF-dr (Figure 1C). Two interlocked loops (β1–β2 loop) located at the dimeric interface between two protomers are fully ordered in the MazF-dr structure, in contrast to the high flexibility of this loop in its E. coli counterpart protein (Figure 1C and Supplementary Figure S2) (Kamada et al., 2003). Moreover, two catalytic residues, namely, Arg29 and Thr52 are well organized, suggesting the conserved ribonuclease activity of MazF-dr (Figure 1B).

Transcriptional Analysis of the D. radiodurans Under MMC Treatments

The protein concentration of MazE in vivo is crucial to the regulation of the MazEF system under environmental stresses. Under normal conditions MazE could self-regulate the expression level of its operon, thus inhibiting the ribonuclease activity of MazF. Previously, we showed that the MazEF-dr system induced the cell death of D. radiodurans in response to a sublethal dose of MMC (Li et al., 2017). To confirm the degradation of MazE-dr under DNA damage, we checked the expression levels of MazE-dr in vivo under MMC treatments (Supplementary Figure S3). While strong immunoblot signals were detected under normal growth conditions, cells treated with 5 or 15 μg/mL MMC displayed decreased MazE-dr signals, implying the activation of the MazEF-dr system upon DNA damage.

To further investigate the possible regulatory role of MazEF-dr-mediated DNA damage response, the transcriptomes of WT and mazEF mutant strains were analyzed in the presence or absence of MMC treatments using RNA sequencing. Four paired-end libraries were generated, yielding a total of 15.7, 15.7, 15.9, and 19.4 M clean reads from R (WT strain without MMC treatment), M (mazEF mutant strain without MMC treatment), TR (WT strain with MMC treatment), and TM (mazEF mutant strain with MMC treatment) with 150 bp as the average sequence length, which corresponded to 83.37–88.25% of the mapped genome of D. radiodurans (Supplementary Table S2). To explore the potential genes regulated by MazEF-dr upon MMC treatment, we compared the transcriptomes of TR vs R, TM vs M, and R vs M, respectively. Numbers of genes that were differentially expressed more than one-fold (log2) (p < 0.05) from each comparison group are summarized in Figure 2A. A total of 203 genes were downregulated and 801 genes were upregulated in the mazEF mutant strain compared with the WT strain under normal conditions (R vs M). In the presence of MMC treatment, a total of 1,029 DEGs were identified in the WT strain (TR vs R), including 961 downregulated genes and 68 upregulated genes. For the mazEF mutant strain (TM vs M), a total of 420 DEGs were identified under MMC treatment, with 354 downregulated genes and 66 upregulated genes. Given that potential genes regulated by the MazEF-dr system are expected to be cleaved by MazF-dr upon MMC treatment, we focused on the downregulated genes in TR vs R but not on those in R vs M or TM vs M to avoid overinterpretation of our data. For example, the transcriptional level of DR_A0320 (a putative urea transporter) was downregulated 2.25-fold (log2) in TR vs R but not significantly downregulated in TM vs M [0.13-fold (log2)] or R vs M [2.81-fold (log2)], suggesting that this gene was potentially regulated by the MazEF-dr system upon MMC treatment. As a result, a total of 650 downregulated genes in TR vs R were chosen as the potential genes regulated by the MazEF-dr system in response to MMC treatment in D. radiodurans (Figure 2B and Supplementary Data Sheet 1).


Figure 2. Transcriptional profiles of the wild-type (R) and mazEF mutant (M) strains under sublethal doses of MMC treatments. (A) Summary of differentially expressed genes (DEGs) in the wild-type treated with MMC vs the wild-type (TR vs R), the mutant treated with MMC vs the mutant (TM vs M) and the wild-type vs the mutant (R vs M). (B) The number of significantly downregulated genes potentially regulated by the MazEF-dr system plotted on a Venn diagram. (C) Histogram of biological process enrichment analysis of 650 selected downregulated genes. (D) Subcellular localization of 650 selected downregulated genes.

We next performed functional annotation analysis using the GO and KEGG databases. In the biological process category, these genes were involved in multiple biological processes including transmembrane transport, RNA processing, cell division, cell wall organization, regulation of transcription, and carbohydrate metabolism (Figure 2C). The results of KEGG pathway analysis revealed that these genes were mostly enriched in ATP-binding cassette (ABC) transporters participating in iron transportation, osmotic tolerance, and cell division (Table 2). These results suggested that the MazEF-dr system regulates gene expression upon MMC treatment in a variety of cellular processes. Moreover, approximately 30% of the proteins encoded by these genes were located in the cell membrane (Figure 2D), which may explain the observed markers of apoptotic cell death, e.g., membrane blebbing and loss of membrane integrity, in D. radiodurans upon MMC treatments (Li et al., 2017).


Table 2. Summary of genes enriched in ABC transporters. Genes belong to the same cluster were backgrounded with the same color.

The MazEF-dr System Regulates the Uptake of Fe Upon MMC Treatment

Among all the 650 genes potentially regulated by the MazEF-dr system upon MMC treatment, we found that two sets of enriched genes in the KEGG pathway analysis, and these genes were involved in the iron complex transport system (Table 2). Three of these genes (DR_B0122, DR_B0123, and DR_B0125) encode the key components of the Fec system (FecBCD), which is important for ferrous iron transport. Two genes (DR_B0014 and DR_B0016) are involved in the transportation of the ferric-heme complex. Given that these genes were downregulated in the WT under MMC treatment, we next measured the intracellular concentrations of both Fe and Mn, using ICP-MS analyses (Figure 3A). Despite the similar intracellular concentration of Mn, the mazEF mutant strain had a 29.5% lower intracellular concentration of Fe than the WT strain in the absence of MMC. Upon MMC treatments, the intracellular concentrations of Fe and Mn in the WT strain (wild type + MMC in Figure 3A) increased by 70.1% and 40.9%, respectively. However, such elevation in metal ion concentrations was severely compromised in the mazEF mutant strain under MMC treatment (mazEF + MMC in Figure 3A), indicating that the MazEF-dr system plays a role in the increased intracellular concentrations of Mn and Fe upon MMC treatment.


Figure 3. The MazEF-dr system induced an increased in intracellular Fe concentrations and ROS levels in response to MMC treatments. (A) ICP-MS analysis of the intracellular Mn and Fe concentrations in the WT and mazEF mutant cells with or without 15 μg/mL MMC treatments. (B) ROS levels of WT and mazEF mutant cells in the presence of 10, 20, and 30 μg/mL MMC. (C) ROS levels in WT and mazEF mutant cells in the presence of 20, 40, and 80 mM H2O2. (D) Protein carbonylation levels in WT and mazEF mutant cells measured by spectrophotometric DNPH assays. Cells were treated with 15 μg/mL MMC for 30 min. All the data represent the means of the three replicates (bars represent standard deviations. ns, not significant; ***p < 0.001, ****p < 0.0001).

The MazEF-dr System Plays a Role in ROS-Mediated Cell Death

Excessive iron can cause damage to cellular components, e.g., proteins, through ROS formation via the Fenton reaction or Haber-Weiss reaction, which may further lead to cell death (Wardman and Candeias, 1996). Given the elevated intracellular Fe level in the WT strain upon MMC treatment, the total intracellular ROS levels were measured to further investigate the function of the MazEF-dr system in D. radiodurans (Figure 3B). The intracellular ROS levels in the WT strain increased with increasing concentrations of MMC, showing an MMC dose-dependent ROS accumulation profile (Figure 3B). In contrast, the ROS levels of the mazEF mutant strain were much lower than those of the WT strain, with compromised ROS accumulation upon MMC treatment. Similar results were observed when cells were treated with various concentrations of H2O2; much less ROS accumulation was observed in the mazEF mutant strain than in the WT strain (Figure 3C). These results were consistent with the distinct profile of Fe concentration in the WT and mazEF mutant strains in response to MMC treatments (Figure 3A). To further confirm the accumulation of ROS in vivo, protein carbonylation, the widely used marker of severe protein oxidation, in both the WT and mazEF mutant strains upon MMC treatment was measured (Figure 3D). Consistent with the increased ROS levels, high level of protein carbonylation (3.5-fold increase) was observed for the WT strain under MMC treatment. However, the mazEF mutant cells showed a significantly reduced level of protein carbonylation under MMC treatment. These results indicated that the MazEF-mediated cell death in D. radiodurans could be possibly caused by an increase in ROS accumulation upon DNA damage.


Toxin-antitoxin systems are widespread in many organisms and have attracted interest due to their multiple functions in response to environmental stressors, including DNA damage, heat shock and nutrient starvation. In addition to regulating cell growth, protein translation, and antibiotic resistance, MazEF system was reported to trigger PCD in E. coli MC4100 strain (Engelberg-Kulka et al., 2006; Lee and Lee, 2019). However, it should be noted that this PCD hypothesis is highly debated. A contradictory observation is that such MazEF-mediated PCD phenotype could not be detected in E. coli by several research groups (Tsilibaris et al., 2007; Ramisetty et al., 2016). D. radiodurans, containing a type II TA system, the MazEF-dr system, is well known for its extreme tolerance to DNA damage, including ionizing radiation and MMC (Lim et al., 2019). As a sequence-specific endoribonuclease recognizing the ACA motif, activation of MazF-dr led to the characteristics of apoptotic-like cell death upon sublethal doses of MMC treatments, while depletion of mazEF alleviated these phenotypes (Li et al., 2017).

In this study, we reported the high-resolution crystal structure of apo-MazF-dr. In the absence of substrate RNA or antitoxin MazE protein, MazF-dr forms a tight homodimer in the asymmetric unit, which adopts the canonical MazF/CcdB fold observed in published MazF structures (Figure 1). Structural superimposition of MazF-dr with other MazF structures revealed almost identical overall dimer conformations as well as active-site configurations, indicating the conserved catalytic mechanism of MazF-dr (Figure 1B and Supplementary Figure S2). To interact with the antitoxin MazE protein, the β1-β2 loop in E. coli MazF undergoes a disorder-to-order transition (Kamada et al., 2003). However, this loop is intact in the MazF-dr structure and interlocks the protein dimer, which was also observed in the M. tuberculosis MazF-mt1 structure, the most similar structure predicted by a DALI search (Supplementary Figure S2). Thus, it appears that a large conformational change or reorientation of this loop in MazF-dr toxin protein is required for the neutralization of MazF-dr by MazE-dr antitoxin.

Our data confirmed the decrease of the antitoxin MazE-dr upon MMC treatments, which could ultimately lead to the activation of the ribonuclease activity of MazF-dr toxin (Supplementary Figure S3). To further investigate the regulatory role of the MazEF-dr system, transcriptional profiles of the WT and mazEF mutant strains under sublethal doses of MMC treatments were compared, which revealed 650 downregulated genes (approximately 20.3% of the genome) potentially regulated by the MazEF-dr system in response to DNA damage stress in D. radiodurans. These genes are enriched in various biological processes, including cell growth and proliferation, RNA processing, protein translation, and cellular transportation. For example, genes involved in not only cell wall organization and cell division (DR_0297, DR_0627, DR_0844, DR_1090, and DR_0647) but also tRNA/rRNA processing (DR_2357 and DR_1694) were downregulated in the WT strain in the presence of sublethal doses of MMC. Moreover, the ABC transporter family FtsEX protein complex (DR_1550), which is widely conserved across diverse bacterial organisms, was downregulated (Meier et al., 2017; Alcorlo et al., 2020). FtsEX is involved in septal peptidoglycan synthesis and in the recruitment of cell division-related proteins (Du et al., 2020). Thus, the degradation of these gene transcripts by MazF-dr under MMC treatments inhibits cell proliferation, which could explain the cell growth arrest observed in MazF-dr-overexpression E. coli cells (Li et al., 2017).

In addition to the well-documented cleavage specificity of MazF, the cleavage of transcriptome by MazEF system depends on many factors, e.g., the genome sequence (abundance and locations of ACA motifs), transcriptional regulation by other factors, and various degree of stress conditions. And the transcriptional profile of MazF cleavage (as well as the function of MazEF) is possibly species-specific. In our case, despite that all the genes listed in Table 2 contain ACA sequences, not all of these 650 genes contain ACA site, e.g., DR_0092 and DR_0554. The expression of these genes under DNA damage were likely attenuated by indirect regulation of MazEF system. Thus, the MazEF-dr system may function as a global regulator under DNA damage stress in D. radiodurans, by combining direct (through RNA cleavage at ACA sites) and indirect (MazF-mediated gene down-regulation) mechanisms.

Notably, KEGG pathway analysis illustrated that these downregulated genes were enriched in ABC transporters, especially iron transporters, including genes involved in the Fec system, the non-heme pathway, and the ferric-heme transportation complex. The Fec system, the citrate-dependent iron transport system, was characterized as being involved in the cellular response to toxicity caused by excess intracellular ferrous ions (Staudenmaier et al., 1989; Braun and Braun, 2002). Ferric-heme transporters are related to the transportation of iron by some bacterial pathogens from mammalian hosts (Mazmanian et al., 2003). Given that intracellular concentration of iron depends on these heme- and non-heme-transportation systems, the MazEF-dr system is likely involved in the regulation of the intracellular Fe concentration in response to MMC treatments in D. radiodurans. It has been shown that the repression of heme enhanced the tolerance of Porphyromonas gingivalis persisters (Li et al., 2018), which may explain the apoptotic-like dell death of D. radiodurans cells in the presence of sublethal doses of MMC (Li et al., 2017).

To confirm the regulatory role of Fe ions in the MazEF-dr system, we measured intracellular Fe concentrations of the WT and mazEF mutant strains under sublethal doses of MMC treatments. In contrast to the mazEF mutant strain, the WT strains showed significant intracellular Fe ion accumulation in the presence of MMC, which might be due to the MazEF-dr system-mediated regulation of the Fe ion transportation. Indeed, in addition to these iron transporters, the Fec system and ferric-heme transport complex, the ferric uptake regulator gene (Fur, encoded by DR_0865) among the 650 gene candidates was also downregulated in the WT strain in response to MMC stress. In D. radiodurans, Fur serves as the repressor affecting both Mn and Fe uptake (Shah et al., 2014). Thus, in the presence of MMC stress, the downregulation of Fur transcripts mediated by the MazEF-dr system resulted in Fur derepression, allowing the uptake of excess metal ions, which is correlated with the highly increased intracellular concentrations of Mn and Fe in cells in response to MMC.

Accumulation of cellular Fe can lead to the overgeneration of ROS, which is toxic to living cells and might ultimately cause cell death. Not surprisingly, compared with the compromised ROS accumulation in the mazEF mutant strain, the WT strain had significantly higher ROS levels in response to both MMC and H2O2 treatments. Similar results were also observed for protein carbonylation levels under MMC stress conditions. In E. coli, two mazEF-mediated cell death pathways were proposed. While antibiotic-mediated inhibition of transcription or translation causes cell death in an ROS-dependent manner, DNA-damaging agents, e.g., nalidixic acid, induce ROS-independent cell death via the MazEF system. MMC was originally characterized as a natural antibiotic causing damage to DNA crosslinking. However, it can also interact with ribosomal RNA and inhibit protein translation (Snodgrass et al., 2010). Given the elevated ROS and protein carbonylation levels of the WT strain under MMC treatment, the activation of MazF-dr in response to MMC treatments appears to trigger ROS-mediated cell death in D. radiodurans. Notably, transcripts of key genes involved in DNA repair were not degraded by MazF-dr under MMC treatments (Supplementary Table S3), suggesting that the MazEF-dr system may not have effect on DNA repair processes in apoptotic-like cells.

In summary, we investigated the regulatory role of the MazEF-dr system in D. radiodurans in response to DNA damage. While the structure of MazF-dr is conserved among MazF proteins, the MazEF-dr system might induce ROS-dependent cell death by regulating various biological processes, including cell proliferation and Fe transportation.

Data Availability Statement

All the data have been submitted to the NCBI Gene Expression Omnibus (GEO) under accession number GSE97563. The coordinates and structure factors have been deposited to Protein Data Bank with accession codes 7DHP.

Author Contributions

YZ conceived the project. JD, ZC, and JH carried out crystallization and data collection. YZ and JD determined crystal structures and analyzed the data. JD, ZC, YW, and JC together performed the bioinformatic analyses and biochemical experiments. YZ, JD, and BT wrote the manuscript. All authors discussed the results, commented on the manuscript, and approved the final version to be published.


This work was supported by grants from the National Natural Science Foundation of China (31870025 and 31670819), and the National Key Research and Development Program of China (2017YFA0503900).

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.


We would like to thank the staff at the Shanghai Synchrotron Radiation Facility (SSRF in China) for assistance in data collection.

Supplementary Material

The Supplementary Material for this article can be found online at:


  1. ^
  2. ^


Alcorlo, M., Straume, D., Lutkenhaus, J., Havarstein, L. S., and Hermoso, J. A. (2020). Structural characterization of the essential cell division protein FtsE and its interaction with FtsX in Streptococcus pneumoniae. Mbio 11:e01488-20. doi: 10.1128/mBio.01488-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Braun, V., and Braun, M. (2002). Iron transport and signaling in Escherichia coli. FEBS Lett. 529, 78–85. doi: 10.1016/S0014-5793(02)03185-X

CrossRef Full Text | Google Scholar

Chen, R., Zhou, J., Sun, R., Du, C., and Xie, W. (2020). Conserved conformational changes in the regulation of Mycobacterium tuberculosis MazEF-mt1. ACS Infect Dis. 6, 1783–1795. doi: 10.1021/acsinfecdis.0c00048

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z., Tang, Y., Hua, Y., and Zhao, Y. (2020). Structural features and functional implications of proteins enabling the robustness of Deinococcus radiodurans. Comput. Struct. Biotechnol. J. 18, 2810–2817. doi: 10.1016/j.csbj.2020.09.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Dai, J. L., Gao, K. X., Yao, T., Lu, H. Z., Zhou, C. L., Guo, M., et al. (2020). Late embryogenesis abundant group3 protein (DrLEA3) is involved in antioxidation in the extremophilic bacterium Deinococcus radiodurans. Microbiol. Res. 240:126559. doi: 10.1016/j.micres.2020.126559

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, S. S., Pichoff, S., and Lutkenhaus, J. (2020). Roles of ATP hydrolysis by FtsEX and interaction with FtsA in regulation of septal peptidoglycan synthesis and hydrolysis. Mbio 11:e01247-20. doi: 10.1128/mBio.01247-20

PubMed Abstract | CrossRef Full Text | Google Scholar

Emsley, P., Lohkamp, B., Scott, W. G., and Cowtan, K. (2010). Features and development of coot. Acta Crystallogr. D Biol. Crystallogr. 66 (Pt. 4), 486–501. doi: 10.1107/S0907444910007493

PubMed Abstract | CrossRef Full Text | Google Scholar

Engelberg-Kulka, H., Amitai, S., Kolodkin-Gal, I., and Hazan, R. (2006). Bacterial programmed cell death and multicellular behavior in bacteria. PLoS Genet. 2:e135. doi: 10.1371/journal.pgen.0020135

PubMed Abstract | CrossRef Full Text | Google Scholar

Fraikin, N., Goormaghtigh, F., and Van Melderen, L. (2020). Type II toxin-antitoxin systems: evolution and revolutions. J. Bacteriol. 202:e00763-19. doi: 10.1128/jb.00763-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Gogos, A., Mu, H. Y., Bahna, F., Gomez, C. A., and Shapiro, L. (2003). Crystal structure of YdcE protein from Bacillus subtilis. Proteins Struct. Funct. Bioinformatics 53, 320–322. doi: 10.1002/prot.10457

PubMed Abstract | CrossRef Full Text | Google Scholar

Harms, A., Brodersen, D. E., Mitarai, N., and Gerdes, K. (2018). Toxins, targets, and triggers: an overview of toxin-antitoxin biology. Mol. Cell 70, 768–784. doi: 10.1016/j.molcel.2018.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayes, F., and Van Melderen, L. (2011). Toxins-antitoxins: diversity, evolution and function. Crit. Rev. Biochem. Mol. Biol. 46, 386–408. doi: 10.3109/10409238.2011.600437

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, D. W., Sherman, B. T., and Lempicki, R. A. (2009). Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44–57. doi: 10.1038/nprot.2008.211

PubMed Abstract | CrossRef Full Text | Google Scholar

Kabsch, W. (2010). Xds. Acta Crystallogr. D Biol. Crystallogr. 66(Pt 2), 125–132. doi: 10.1107/S0907444909047337

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamada, K., Hanaoka, F., and Burley, S. K. (2003). Crystal structure of the MazE/MazF complex: molecular bases of antidote-toxin recognition. Mol. Cell 11, 875–884. doi: 10.1016/S1097-2765(03)00097-2

CrossRef Full Text | Google Scholar

Kolodkin-Gal, I., Verdiger, R., Shlosberg-Fedida, A., and Engelberg-Kulka, H. (2015). A differential effect of e. coli toxin-antitoxin systems on cell death in liquid media and biofilm formation. PLoS One 4:e6785. doi: 10.1371/journal.pone.0006785

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, H., and Lee, D. G. (2019). Programmed cell death in bacterial community: mechanisms of action. Causes and Consequences. J. Microbiol. Biotechnol. 29, 1014–1021. doi: 10.4014/jmb.1904.04017

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, P., Fung, Y. M. E., Yin, X. H., Seneviratne, C. J., Che, C. M., and Jin, L. J. (2018). Controlled cellular redox, repressive hemin utilization and adaptive stress responses are crucial to metronidazole tolerance of Porphyromonas gingivalis persisters. J. Clin. Periodontol. 45, 1211–1221. doi: 10.1111/jcpe.13002

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Weng, Y. L., Ma, X. Q., Tian, B., Dai, S., Jin, Y., et al. (2017). Deinococcus radiodurans toxin-antitoxin MazEF-dr mediates cell death in response to DNA damage stress. Front. Microbiol. 8:1427. doi: 10.3389/fmicb.2017.01427

PubMed Abstract | CrossRef Full Text | Google Scholar

Liebschner, D., Afonine, P. V., Baker, M. L., Bunkoczi, G., Chen, V. B., Croll, T. I., et al. (2019). Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D Struct. Biol. 75(Pt 10), 861–877. doi: 10.1107/S2059798319011471

PubMed Abstract | CrossRef Full Text | Google Scholar

Lim, S., Jung, J. H., Blanchard, L., and de Groot, A. (2019). Conservation and diversity of radiation and oxidative stress resistance mechanisms in Deinococcus species. FEMS Microbiol. Rev. 43, 19–52. doi: 10.1093/femsre/fuy037

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, D. Z., Mandell, J. B., Donegan, N. P., Cheung, A. L., Ma, W. Y., Rothenberger, S., et al. (2019). The toxin-antitoxin MazEF drives Staphylococcus aureus biofilm formation, antibiotic tolerance, and chronic infection. Mbio 10:e01658-19. doi: 10.1128/mBio.01658-19

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazmanian, S. K., Skaar, E. P., Gaspar, A. H., Humayun, M., Gornicki, P., Jelenska, J., et al. (2003). Passage of heme-iron across the envelope of Staphylococcus aureus. Science 299, 906–909. doi: 10.1126/science.1081147

PubMed Abstract | CrossRef Full Text | Google Scholar

Meier, E. L., Deitch, A. K., Yao, Q., Bhargava, A., Jensen, G. J., and Goley, E. D. (2017). FtsEX- mediated regulation of the final stages of cell division reveals morphogenetic plasticity in Caulobacter crescentus. PLoS Genet. 13:e1006999. doi: 10.1371/journal.pgen.1006999

PubMed Abstract | CrossRef Full Text | Google Scholar

Miyamoto, T., Ota, Y., Yokota, A., Suyama, T., Tsuneda, S., and Noda, N. (2017). Characterization of a Deinococcus radiodurans MazF: a UACA-specific RNA endoribonuclease. Microbiologyopen 6:e501. doi: 10.1002/mbo3.501

PubMed Abstract | CrossRef Full Text | Google Scholar

Munoz-Gomez, A. J., Santos-Sierra, S., Berzal-Herranz, A., Lemonnier, M., and Diaz-Orejas, R. (2004). Insights into the specificity of RNA cleavage by the Escherichia coli MazF toxin. FEBS Lett. 567, 316–320. doi: 10.1016/j.febslet.2004.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Nariya, H., and Inouye, M. (2008). MazF, an mRNA interferase, mediates programmed cell death during multicellular Myxococcus development. Cell 132, 55–66. doi: 10.1016/j.cell.2007.11.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikolic, N. (2019). Autoregulation of bacterial gene expression: lessons from the MazEF toxin-antitoxin system. Curr. Genet. 65, 133–138. doi: 10.1007/s00294-018-0879-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramisetty, B. C., Raj, S., and Ghosh, D. (2016). Escherichia coli MazEF toxin-antitoxin system does not mediate programmed cell death. J. Basic Microbiol. 56, 1398–1402. doi: 10.1002/jobm.201600247

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramisetty, B. C. M., Natarajan, B., and Santhosh, R. S. (2015). mazEF-mediated programmed cell death in bacteria: “What is this?”. Crit. Rev. Microbiol. 41, 89–100. doi: 10.3109/1040841x.2013.804030

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramisetty, B. C. M., and Santhosh, R. S. (2017). Endoribonuclease type II toxin-antitoxin systems: functional or selfish? Microbiology (Reading) 163, 931–939. doi: 10.1099/mic.0.000487

PubMed Abstract | CrossRef Full Text | Google Scholar

Riffaud, C., Pinel-Marie, M. L., and Felden, B. (2020). Cross-Regulations between bacterial toxin-antitoxin systems: evidence of an interconnected regulatory network? Trends Microbiol. 28, 851–866. doi: 10.1016/j.tim.2020.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Ronneau, S., and Helaine, S. (2019). Clarifying the link between toxin-antitoxin modules and bacterial persistence. J. Mol. Biol. 431, 3462–3471. doi: 10.1016/j.jmb.2019.03.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Shah, A. M. U., Zhao, Y., Wang, Y. F., Yan, G. Q., Zhang, Q. K., Wang, L. Y., et al. (2014). A mur regulator protein in the extremophilic bacterium Deinococcus radiodurans. PLoS One 9:e106341. doi: 10.1371/journal.pone.0106341

PubMed Abstract | CrossRef Full Text | Google Scholar

Slayden, R. A., Dawson, C. C., and Cummings, J. E. (2018). Toxin-antitoxin systems and regulatory mechanisms in Mycobacterium tuberculosis. Pathog. Dis. 76:fty039. doi: 10.1093/femspd/fty039

PubMed Abstract | CrossRef Full Text | Google Scholar

Snodgrass, R. G., Collier, A. C., Coon, A. E., and Pritsos, C. A. (2010). Mitomycin C Inhibits Ribosomal RNA A NOVEL CYTOTOXIC MECHANISM FOR BIOREDUCTIVE DRUGS. J. Biol. Chem. 285, 19068–19075. doi: 10.1074/jbc.M109.040477

PubMed Abstract | CrossRef Full Text | Google Scholar

Staudenmaier, H., Vanhove, B., Yaraghi, Z., and Braun, V. (1989). Nucleotide-Sequences of the Fecbcde genes and locations of the proteins suggest a periplasmic-binding-protein-dependent transport mechanism for Iron(Iii) dicitrate in Escherichia-Coli. J. Bacteriol. 171, 2626–2633. doi: 10.1128/jb.171.5.2626-2633.1989

PubMed Abstract | CrossRef Full Text | Google Scholar

Timmins, J., and Moe, E. (2016). A decade of biochemical and structural studies of the DNA repair machinery of Deinococcus radiodurans: major findings, functional and mechanistic insight and challenges. Comput. Struct. Biotechnol. J. 14, 168–176. doi: 10.1016/j.csbj.2016.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsilibaris, V., Maenhaut-Michel, G., Mine, N., and Van Melderen, L. (2007). What is the benefit to Escherichia coli of having multiple toxin-antitoxin systems in its genome? J. Bacteriol. 189, 6101–6108. doi: 10.1128/jb.00527-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Melderen, L., and De Bast, M. S. (2009). Bacterial toxin-antitoxin systems: more than selfish entities? PLoS Genet. 5:e1000437. doi: 10.1371/journal.pgen.1000437

PubMed Abstract | CrossRef Full Text | Google Scholar

Wardman, P., and Candeias, L. P. (1996). Fenton chemistry: an introduction. Radiat. Res. 145, 523–531. doi: 10.2307/3579270

CrossRef Full Text | Google Scholar

Zhang, Y. L., Zhang, J. J., Hoeflich, K. P., Ikura, M., Qing, G. L., and Inouye, M. (2003). MazF cleaves cellular mRNAs specifically at ACA to block protein synthesis in Escherichia coli. Mol. Cell 12, 913–923. doi: 10.1016/S1097-2765(03)00402-7

CrossRef Full Text | Google Scholar

Zorzini, V., Buts, L., Sleutel, M., Garcia-Pino, A., Talavera, A., Haesaerts, S., et al. (2014). Structural and biophysical characterization of Staphylococcus aureus SaMazF shows conservation of functional dynamics. Nucleic Acids Res. 42, 6709–6725. doi: 10.1093/nar/gku266

PubMed Abstract | CrossRef Full Text | Google Scholar

Zorzini, V., Mernik, A., Lah, J., Sterckx, Y. G. J., De Jonge, N., Garcia-Pino, A., et al. (2016). Substrate recognition and activity regulation of the Escherichia coli mRNA endonuclease MazF. J. Biol. Chem. 291, 10950–10960. doi: 10.1074/jbc.M116.715912

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: toxin-antitoxin system, DNA damage, Deinococcus, ROS, iron transportation

Citation: Dai J, Chen Z, Hou J, Wang Y, Guo M, Cao J, Wang L, Xu H, Tian B and Zhao Y (2021) MazEF Toxin-Antitoxin System-Mediated DNA Damage Stress Response in Deinococcus radiodurans. Front. Genet. 12:632423. doi: 10.3389/fgene.2021.632423

Received: 27 November 2020; Accepted: 12 January 2021;
Published: 19 February 2021.

Edited by:

Joao Batista Teixeira da Rocha, Federal University of Santa Maria, Brazil

Reviewed by:

Bhaskar Chandra Mohan Ramisetty, SASTRA University, India
Nela Nikolic, Institute of Science and Technology Austria (IST Austria), Austria

Copyright © 2021 Dai, Chen, Hou, Wang, Guo, Cao, Wang, Xu, Tian and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ye Zhao,

These authors have contributed equally to this work