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Article

A Novel Noncoding RNA dsr11 Involved in Heat Stress Tolerance in Deinococcus radiodurans

1
Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
2
Microbial Processes and Interactions (MiPI), TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
*
Authors to whom correspondence should be addressed.
Biomolecules 2020, 10(1), 22; https://doi.org/10.3390/biom10010022
Submission received: 11 November 2019 / Revised: 11 December 2019 / Accepted: 18 December 2019 / Published: 23 December 2019
(This article belongs to the Section Molecular Biology)

Abstract

:
Deinococcus radiodurans is an extremely resistant bacteria that has evolved masterful strategies to enable survival under various environmental stress conditions. Heat stress is a major environmental stress factor that can cause denaturation of proteins, membrane disruption, and oxidative stress. Previous studies have examined the mechanisms of the heat stress response by analyzing changes in protein levels; however, little is known about the role of small noncoding RNAs (ncRNAs), which are known to play important regulatory functions in bacteria during various environmental stress response. The ncRNA dsr11 of D. radiodurans was previously identified by RNA-seq and Northern blot. In this study, we showed that the transcription level of dsr11 was up-regulated 4.2-fold under heat stress by qRT-PCR analysis. Heat tolerance assay showed that deleting dsr11 significantly inhibited the viability under high temperature conditions. To assess the influence of dsr11 on the D. radiodurans transcriptome, 157 genes were found differentially expressed in the knock-out mutant by RNA-seq experiment. Combining RNA-seq and in silico analysis, we found that trmE (tRNA modification GTPase) and dr_0651 (arginase) were likely to be the direct targets of dsr11. Further microscale thermophoresis results demonstrated that dsr11 can directly bind to the mRNA of trmE and dr_0651. Our results indicated that dsr11 can enhance the tolerance to heat stress of D. radiodurans by binding to trmE and dr_0651 mRNA. Overall, these results extend our understanding of ncRNA regulation and provide new insights into the heat stress response in D. radiodurans.

1. Introduction

Deinococcus radiodurans (D. radiodurans) is a Gram-positive, pink-pigmented, high G + C bacterium that belongs to the Deinococcus–Thermus phylum. It was isolated from gamma-radiated canned meat and is best known for its extraordinary resistance to ionizing irradiation [1,2,3]. However, previous studies also reported that this bacterium presents a rapid response and adaptation to a wide variety of extreme environment stresses, such as ultraviolet irradiation, desiccation, hydrogen peroxide, and temperature [4,5,6,7,8]. Due to its powerful DNA repair ability and extreme stress resistance, this bacterium has become a model for studying bacterial tolerance mechanisms under various environmental stress conditions. To adapt to rapid changes of environmental conditions, many genes associated with stress tolerance have been identified in D. radiodurans [9]. Although much effort has been carried out to elucidate the molecular mechanisms conferring high resistance capability in response to various environment in D. radiodurans, the complex post-transcriptional regulation and gene expression still requires deeper investigation.
Small noncoding RNAs (ncRNAs) are ubiquitously found in bacteria (50–500 nt), which have been divided into two groups (cis-encoded ncRNAs and trans-encoded ncRNAs) based on the location of their targets [10,11]. They usually function by repressing or activating gene expression via base-pairing with target mRNAs to modulate translational activation and mRNA stabilization [12]. Bacterial ncRNAs have been reported to act as vital regulator in response to various environment stresses, such as, virulence, pH, oxidative, antibiotic, and temperature [13,14,15,16,17]. Thanks to the development of biocomputational and experimental methods, a large number of ncRNAs have been found in prokaryotes [18]. In extremophilic bacteria and archaea such as Methanococcus jannaschii, Bacillus halodurans, and Haloferax volcanii, a large amount of ncRNA was found [19,20,21]. In particular, many of these ncRNAs are involved in the regulation of various stresses. For example, hundreds of differentially expressed ncRNAs in response to oxidative stress were identified in H. volcanii [22]. In H. volcanii, sRNA132 is important for rapid adaptation to phosphate starvation [23]. Recently, Tsai et al. [24] identified 41 ncRNA candidates in D. radiodurans by the genome-wide RNA sequencing approach but the functional roles of these ncRNAs are still poorly understood.
This study aimed at providing new insights into the environmental adaption of D. radiodurans. We characterized dsr11 as a novel ncRNA but conserved among Deinococci and which is highly induced upon exposure to high temperature. We combined various experimental and in silico approaches in order to identify the potential targets of dsr11 and the potential regulation pathway leading to heat tolerance in that bacterium.

2. Materials and Methods

2.1. Strain and Growth Conditions

D. radiodurans was obtained from the China General Microbiological Culture Collection Center (CGMCC 1.633, Beijing, China). D. radiodurans and derivatives were routinely cultured in TGY broth (1% tryptone, 0.5% yeast extract, and 0.1% glucose) or on TGY plates supplemented with agar (1.5%) at 30 °C. When required, ampicillin and kanamycin were added to final concentrations of 50 and 20 µg/mL, respectively.

2.2. RNA Extraction

Total cells from D. radiodurans were prepared using TRIzol reagent (Invitrogen, Thermo Fisher, California, USA) with Lysing Matrix Tubes (MP Bio, California, USA), and total cellular RNA was extracted with the PureLink RNA Mini Kit (Invitrogen, Thermo Fisher, California, USA) following the manufacturer’s instructions. RNA purity was assessed using absorbance readings (260 nm/280 nm) with a NanoDrop® spectrophotometer (Thermo Fisher, California, USA).

2.3. Construction of Gene Deletion Mutant Strain

Mutant strain lacking dsr11 was constructed by fusion PCR recombination of a kanamycin resistance cassette into the genome as previously described [25]. Briefly, fusion PCR products for dsr11 deletion was constructed in two steps. In the first step, a pair of specific premiers were used to generate fragment complementary to the kanamycin-resistance gene from the plasmid pKatAPH3 (920 bp) and the upstream (414 bp) and downstream regions (417 bp) of dsr11 sequences using the appropriate primer pairs (Supplementary Table S1). In the second step, the upstream, kanamycin-resistance gene, and downstream fragments were annealed at their overlapping regions and PCR amplified as a single fragment using the outer primers (1751 bp). The resulting PCR fragment was directly transformed into D. radiodurans. Colonies resistant to kanamycin (20 μg/mL) were selected, and these mutants were subsequently verified by PCR and DNA sequencing and named ΔDsr11.

2.4. Quantitative Real-Time PCR (qRT-PCR)

cDNA synthesis was conducted by using a PrimeScriptTMRT reagent kit with gDNA Eraser (TaKaRa, Kusatsu, Japan) as described in the manufacturer’s protocol. Subsequently, qRT-PCR was performed using ChamQ SYBR qPCR Master Mix (Vazyme Biotech Co., Ltd., Nanjing, China) on a 7500 Fast Real-time PCR System (Applied Biosystems, California, USA). The primers are listed in Supplementary Table S1. The 16S rRNA gene was used as the endogenous reference control to normalize differences in total RNA quantity, and relative gene expression was quantified by the 2−ΔΔCT method. Three biological replicates for each condition were conducted.

2.5. Bacterial Growth Curve and Heat Stress Tolerance Assays

D. radiodurans wild-type (WT) and mutant (ΔDsr11) strains were grown in shacked (220 rpm) TGY cultures in triplicate at 30 °C. The OD600 of each sample was measured every 4 h. WT and ∆Dsr11 were cultured in TGY broth with appropriate antibiotics to OD600 = 2 at 30 °C and were then shifting to 48 °C for 4 h. Subsequently, 100 μL of the cell suspension was aliquoted into 900 μL of PBS, after which 10-fold serial dilutions were made for all strains, and 8 µL of each dilution was spotted onto TGY agar plates. These plates were incubated at 30 °C for 3 days before colony growth was observed and calculated. All assays were performed in triplicate.

2.6. RNA-seq and Data Analysis

WT and ΔDsr11 were cultured in TGY broth with appropriate antibiotics to OD600 = 2 at 30 °C. Then, the cells were harvested by centrifugation at 12,000 × g for 3 min and stored at −80 °C for RNA extraction. For each strain, total RNA was extracted from at least three independent biological replicates as described in RNA isolation section. A total of 1 μg of high-quality RNA per sample was used as the input material for library preparation. Sequencing libraries were generated using a VAHTS Total RNA-seq Library Prep Kit for Illumina® (Vazyme, NR603) following the manufacturer’s recommendations. Then the well-prepared library was sequenced using the Illumina HiSeq X Ten platform with a 150-bp paired-end module. Raw reads were filtered by removing reads containing adapter, poly-N and low-quality reads for subsequent analysis. The resulting sequences were then mapped onto the D. radiodurans reference genome (NC_001263.1, NC_001264.1, NC_000958.1, and NC_000959.1) using TopHat (v2.1.1) [26]. The mapped reads of each sample were assembled using Cufflinks (v2.2.1) [27] with a reference-based approach. Cuffdiff (v2.2.1) [27] provides statistical routines for determining differential expression in a digital transcript or gene expression dataset using a model based on a negative binomial distribution. Genes with corrected p values less than 0.05 and absolute log2 values (Fold changes) >1 were considered significant differentially expressed genes (DEGs). All samples were sequenced three times. Gene ontology (GO) enrichment analysis of the DEGs was performed with the Perl module (GO::TermFinder) [28]. GO terms with a corrected p value less than 0.05 were considered to be significantly enriched among the DEGs. The Kyoto Encyclopedia of Gene and Genomes (KEGG) is a major public database containing manually drawn pathway maps representing knowledge of molecular interactions and reaction networks. R functions (phyper and q-value) were used to test for the statistical enrichment of the DEGs among the KEGG pathways. KEGG pathways with corrected p-values less than 0.05 were considered to be significantly enriched for the DEGs.

2.7. Bioinformatics Analysis

The secondary structure prediction performed with RNAalifold [29] based on the lowest folding energy. The sequence conservation of dsr11 by using BLASTN. All sequenced bacterial genomes were compared with parameter values set to the default, and sequences with a nucleotide identity >60% and coverage value >80% considered as being conserved. The multi-sequence alignment of dsr11 homologues performed with Clustal X2. The phylogenetic tree was constructed from the aligned sequences using Maximum Composite likelihood model with the UPGMA method, bootstrapped 1000 times via MEGA 7.0 software.
The target genes of dsr11 were predicted by using Web-based program TargetRNA2 [30]. The hybridization between the ncRNA transcript sequence and the sequence comprising 75 nucleotides (nt) upstream until 75 nt downstream of the start codon of each annotated gene was screened in the genome of D. radiodurans. To consider an interaction as positive, we used the corresponding p < 0.05 and synonym energy less than −8 kcal/mol were taken as the threshold. Finally, the common predictions of TargetRNA2 and RNA-seq analysis confirmed as the target candidates.

2.8. Microscale Thermophoresis (MST) Analysis

MST technique were performed to quantify the interactions between ncRNAs and the target mRNAs in vitro [31,32,33]. The 5′FAM-labeled mRNAs of the target genes (trmE and dr_0651) were synthesized by the BGI company (BGI, Beijing, China). The ssRNAs oligonucleotides containing wild-type (wt) or mutated (mut) base-pairing regions of dsr11 were synthesized by the BGI company (BGI, Beijing, China), as listed in Supplementary Table S2. The wt and mut dsr11 probe molecules were labeled with 5′FAM. Four microliters of sample containing 200 nM labeled mRNA and increasing concentrations of a non-labeled competitor (from 18.3 nM to 600 mM) were loaded on standard treated glass capillaries (Monolith NT.115 Series Capillaries, Cat#MO-K002). Thermophoresis was carried out using a Monolith NT.115 instrument (NanoTemper Technologies, Munich, Germany) at 25 °C in diethylpyrocarbonate water with 40% excitation power and medium MST-Power. The dissociation constants (Kd) were calculated as previously described [34]. Data analyses were performed using MO. Affinity Analysis software (NanoTemper Technologies, Munich, Germany).

3. Results and Discussion

3.1. Characterization of the Novel ncRNA dsr11

In a previous study, 41 ncRNAs were reported in D. radiodurans under normal conditions [24]. Here we further functionally analyzed these ncRNAs under different abiotic stresses (date not shown). Interestingly, we found a novel ncRNA named dsr11, which was 4.2-fold up-regulated upon growth at 48 °C (Figure 1A). This ncRNA was thus selected for further investigation during the heat stress response. Since the expression of dsr11 was enhanced under heat stress, we hypothesized that dsr11 might positively regulate heat tolerance in D. radiodurans.
According to the previous results of RNA-seq and deep RACE, the sequence of dsr11 was 126 nt long. In general, ncRNAs form secondary structures, which contribute to their stability [10]. The secondary structure of dsr11 was predicted by RNAalifold [29], and the four stem-loop structures with a free energy −33.11 kcal/mol may facilitate the high stability of dsr11 (Figure 1B). It has been reported that ncRNAs can have conserved sequences and structures in homologs [35]. As shown in Figure 1C, dsr11 is conserved among several Deinococcus species, such as D. wulumuqiensis, D. gobiensis, D. geothermalis, and D. actinosclerus, and it is also conserved in Thermus species (T. thermophilus, T. brockianus, and T. scotoductus) and Oceanithermus profundus. These Thermus species were reported to live at high temperatures, and Oceanithermus profundus was isolated from a deep-sea hydrothermal vent [36]. We hypothesize that dsr11 may play an important role for these species in their environment. The multi-sequence alignment of dsr11 against representative genomes of other microbes indicated that the sequences of stem-loop 2 had high similarity to other homologs, while similarity was clearly lower for stem-loop 1, 3, and 4 (Figure 1C). The transcript sequences were divided into four clusters by the sequence of stem loop 1, 3, and 4, which was in good agreement with the phylogenetic tree, as shown in Figure 1D. Although the sequences of ncRNAs were similar, they may retain different functions in various species due to different target binding regions [35]. The sequence and the stem-loop structures can be divided into four clusters probably related to different functions.

3.2. dsr11 is Required for Heat Tolerance of D. radiodurans

dsr11 was located in the intergenic region between dr_2376 (encoding a TetR family transcriptional regulator) and dr_2377 (encoding a hypothetical protein) (Figure 2A). To further investigate the influence of dsr11 on D. radiodurans, the knockout gene of dsr11 was constructed successfully and named ∆Dsr11 (Figure 2A). It was important to verify whether the deletion had a polar effect on the flanking genes; thus, we checked the expression by qRT-PCR of the flanking genes (dr_2376 and dr_2377) and dsr11 in WT and ∆Dsr11. As shown in Figure 2B, a significant difference of expression was observed only in the case of dsr11 (expectedly expression could not be detected in the mutant), while there was no difference of dr_2376 and dr_2377 between WT and ∆Dsr11. The effect of dsr11 on D. radiodurans growth at optimum growth temperature was then examined and there was no significant difference between the WT and ∆Dsr11 (Figure 2C).
To determine the role of dsr11 in D. radiodurans under heat stress, the WT and ∆Dsr11 strains were exposed to high temperature conditions at 48 °C for 4 h. As shown in Figure 2D, the TGY plate assays showed that the mutant strain ∆Dsr11 was more susceptible than the WT strain upon growth at 48 °C, confirming that dsr11 serves an important role in the adaptation to heat stress.

3.3. RNA-seq Analysis Sheds New Light on the Mechanisms of dsr11-Mediated Heat Tolerance

ncRNA are usually involved in post-transcriptional regulation in various environment stresses. Thus, to expand the panel of how dsr11 is involved in heat stress tolerance, and to have a better view of the effect of dsr11 activity on the global transcription, an RNA sequencing transcriptome analysis was performed comparing ∆Dsr11 to the WT strain. We observed 157 genes (Supplementary Table S3 and the most representative genes listed in Table 1) differentially expressed in the dsr11 deletion mutant compared to the WT strain, including 121 genes that were up-regulated and 36 genes that were down-regulated (Figure 3A). Among the up-regulated and down-regulated genes in the dsr11 deletion mutant we identified genes involved in the heat stress response (csp, dnaJ, grpE, clpB, and hsp20). The genome of D. radiodurans contains 3079 protein-coding genes [3] and forty-one ncRNAs were also identified [24]. Deletion of dsr11 altered the expression of about 5.1% of all genes. These results indicated that dsr11 directly or indirectly regulates these factors.
The function of the DEGs was determined by GO enrichment analysis, which were assigned as “membrane”, “membrane part”, “nucleotide binding”, “purine nucleotide binding”, “response to temperature stimulus”, and “response to heat” (Figure 3A). Knockout of the dsr11 affects the expression of genes involved in cell membranes. Previous reports have shown that heat stress can lead to cell membrane disruption in D. radiodurans [37]. We hypothesized that the loss of dsr11 may lead to changes in cell membrane function, thus affecting heat stress tolerance. In addition, both nucleotide binding and purine nucleotide binding are affected, which may also lead to sensitivity to heat stress. Through KEGG analysis, different pathways were significantly affected by dsr11 knockout, including mismatch repair, homologous recombination, DNA replication, ABC transporters, and arginine and proline metabolism (Figure 3B). This result suggests that genes involved in these pathways may interact with dsr11 to regulate the heat tolerance of D. radiodurans, which still requires further validation.

3.4. Identification of the dsr11 Targets

In bacteria, ncRNAs are commonly known to regulate target mRNAs through sequence-specific base pairing [11]. Base pairing resulting in target activation can involve ncRNA interactions with the 5′ untranslated region (UTR), the coding sequence, or the 3′ UTR of the target mRNAs, in many respects, functionally analogous to eukaryotic miRNAs [11]. The region of potential base pairing between ncRNAs and target mRNAs typically encompasses 10–25 nt [38]. The majority of these ncRNAs frequently repress or activate stress response pathways required for adaptation to changing environments. Bacterial ncRNAs activate translation or enhance stability of one or more mRNA targets [10,39]. Therefore, the identification and validation of putative ncRNA targets is essential to understand the roles of these regulators in bacteria. We used the webservers TargetRNA2 [30] to predict the potential targets of dsr11, and a total of 35 targets were identified according to the parameters used (Supplementary Table S4).
We combined this in silico target prediction and the results from RNA-seq analysis and identified three genes (two known genes and a hypothetical gene) common in these two approaches (Figure 4). We selected the two known genes dr_1016 (trmE, coding for tRNA modification GTPase) and dr_0651 (coding for arginase) as the candidates for experimental validation. The binding sites between these two predicted targets and dsr11 were analyzed (Figure 5). trmE was characterized in E. coil, Pseudomonas syringae, and Thermotoga maritima, and is involved in various stress responses [40,41,42]. trmE plays an essential role in translation, signal transduction, protein synthesis, and tRNA modification [43]. Arginase is an important enzyme in the urea cycle, which is responsible for catalysis of L-arginine in L-ornithine and urea [44]. The best characterized arginase is from Helicobacter pylori, in which it helps the cells tolerate acid stress [45]. We hypothesize that dsr11 enhances heat tolerance by imperfect base-pairing to trmE and dr_0651 5’ UTR, thereby affecting the transcription and translation of these two genes.
To further validate whether dsr11 binds directly to the target genes, MST was applied to identify the binding strength between fluorescently labeled dsr11-wt or dsr11-mut probes and the non-labeled competitor molecule on target genes trmE and dr_0651 mRNA. Results indicated that dsr11-wt binds trmE and dr_0651 mRNA at low micromolar concentrations in the titrant, exhibiting a dissociation constant (Kd) of 388.52 ± 125.21 nM and 652.87 ± 83.811 nM, respectively, which suggests a relatively strong interaction (Figure 6A,C). In contrast, the mutant derivative (dsr11-mut) harboring substitutions in all complementary bases displayed a complete defect in binding to trmE and dr_0651 mRNA (Figure 6B,D), suggesting that dsr11 binds to the target genes through different bases. The binding assay showed that dsr11 can regulate multiple genes in different cellular pathways, indicating that dsr11 is required for adaptation to extreme environments and probably has specific regulatory functions in D. radiodurans.

4. Conclusions

In this study, we identified and characterized a novel ncRNA dsr11 that contributes to heat tolerance in D. radiodurans. It is conserved among the class Deinococci with four stem-loop structures and is homologous to thermophilic bacteria. Phenotypic characterization of the mutant strain ∆Dsr11 revealed that it was more susceptible than the WT to heat stress. Furthermore, RNA-seq analysis indicated that dsr11 deletion affected the transcriptional expression of genes related to heat stress response, metabolism, and mismatch repair in D. radiodurans. The combination of in silico prediction and RNA-seq analysis allowed us to identify the tRNA modification GTPase gene trmE and arginase gene dr_0651 as direct targets of dsr11. Our findings elucidate a potential regulation mechanism of ncRNA dsr11. However, the other possible mechanisms of dsr11 interaction with target mRNA involved in heat stress tolerance remain to be fully understood.

Supplementary Materials

The following are available online at https://www.mdpi.com/2218-273X/10/1/22/s1. Table S1: Primers used in this study; Table S2: Synthesized ssRNA oligonucleotide derivatives for MST; Table S3: List of genes differentially expressed in the dsr11 deletion mutant compared to the WT strain; Table S4: The possible targets of dsr11 predicted by TargetRNA2.

Author Contributions

Conceptualization, D.X., M.L., and J.W.; methodology, D.X.; validation, D.X., Y.C., and J.L.; formal analysis, D.X.; investigation, D.X.; writing—original draft preparation, D.X.; writing—review and editing, D.X., Y.C., J.L., J.H., Z.Z., W.Z., M.C., M.L., M.O., and J.W.; supervision, J.W. and M.O. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by Key Research and Development Projects (No. 2018YFA0901000, No. 2018YFA0901003), the Ministry of Agriculture Transgenic Program (No. 2016ZX08009003-002), and the National Natural Science Foundation of China (Nos. 31800061, 31570080, 31500063). We also appreciate the support of the Agricultural Science and Technology Innovation Program of CAAS.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Secondary structure, multi-sequence alignment, and phylogenetic analysis of dsr11. (A) The expression of dsr11 under heat stress in D. radiodurans wild-type (WT) by qRT-PCR. (B) dsr11 consisted of four stem-loop structures with free energy of −33.11 kcal/mol, and the stem-loops were numbered. (C) The multi-sequence alignment was performed using Clustal X2 and then manually refined. The sequences were divided into four clusters. The sequences of stem-loop 2 were highly similar to other homologs. (D) The guide tree reflects the similarity relations between the homologous sequences in the form of hierarchical clustering. It is constructed by the UPGMA method by MEGA 7.0.
Figure 1. Secondary structure, multi-sequence alignment, and phylogenetic analysis of dsr11. (A) The expression of dsr11 under heat stress in D. radiodurans wild-type (WT) by qRT-PCR. (B) dsr11 consisted of four stem-loop structures with free energy of −33.11 kcal/mol, and the stem-loops were numbered. (C) The multi-sequence alignment was performed using Clustal X2 and then manually refined. The sequences were divided into four clusters. The sequences of stem-loop 2 were highly similar to other homologs. (D) The guide tree reflects the similarity relations between the homologous sequences in the form of hierarchical clustering. It is constructed by the UPGMA method by MEGA 7.0.
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Figure 2. (A) The genomic location of dsr11 and construction of the dsr11 mutant. The dsr11 is shaded in red. Schematic representation of the mutant generated by replacing the dsr11 region with the kanamycin resistance gene aph. (B) Relative expression of dsr11, the upstream gene (dr_2376), and the downstream gene (dr_2377) in ∆Dsr11 compared to the WT under normal conditions. The relative levels of the transcripts are presented as the mean values ± standard deviation, calculated from three sets of independent experiments and normalized to levels in the WT strain. (C) Growth curves in TGY broth of WT and ∆Dsr11. The error bars represent the calculated standard deviation of the measurements of three biological replicates. (D) Viability of dsr11 knockout cells after exposure to 48 °C. CK, untreated culture control. All experiments were performed three times.
Figure 2. (A) The genomic location of dsr11 and construction of the dsr11 mutant. The dsr11 is shaded in red. Schematic representation of the mutant generated by replacing the dsr11 region with the kanamycin resistance gene aph. (B) Relative expression of dsr11, the upstream gene (dr_2376), and the downstream gene (dr_2377) in ∆Dsr11 compared to the WT under normal conditions. The relative levels of the transcripts are presented as the mean values ± standard deviation, calculated from three sets of independent experiments and normalized to levels in the WT strain. (C) Growth curves in TGY broth of WT and ∆Dsr11. The error bars represent the calculated standard deviation of the measurements of three biological replicates. (D) Viability of dsr11 knockout cells after exposure to 48 °C. CK, untreated culture control. All experiments were performed three times.
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Figure 3. RNA-seq analysis between WT and ∆Dsr11. (A) Volcano map of the differential expression genes ∆Dsr11 versus WT. Each point represents a unigene. The red and blue points indicate significant changes in the absolute value of log2 (fold change) ≥ 1 and FDR ≤ 0.05, respectively; i.e., the red points indicate up-regulated unigenes, and the blue points indicate down-regulated unigenes in the two groups, with the differential expression levels presented along the X-axis. The black points indicate nonsignificant, differentially expressed unigenes (B) GO terms with significant enrichment analysis of differentially expressed genes in ∆Dsr11 compared to WT. (C) Top 20 KEGG biological pathway classification histograms for annotated unigenes.
Figure 3. RNA-seq analysis between WT and ∆Dsr11. (A) Volcano map of the differential expression genes ∆Dsr11 versus WT. Each point represents a unigene. The red and blue points indicate significant changes in the absolute value of log2 (fold change) ≥ 1 and FDR ≤ 0.05, respectively; i.e., the red points indicate up-regulated unigenes, and the blue points indicate down-regulated unigenes in the two groups, with the differential expression levels presented along the X-axis. The black points indicate nonsignificant, differentially expressed unigenes (B) GO terms with significant enrichment analysis of differentially expressed genes in ∆Dsr11 compared to WT. (C) Top 20 KEGG biological pathway classification histograms for annotated unigenes.
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Figure 4. Network plots of dsr11 and target interactions by RNA-seq and in silico prediction. All hypothetical genes were eliminated. (A)The effect of dsr11 knockout on gene expression by RNA-seq. Red nodes represent up-regulated genes and blue nodes represents down-regulated genes. The size of the node represents the expression. The common genes as in silico predicted are marked with black circles. (B) The predicted targets of dsr11 by TargetRNA2. The size of the node represents the binding strength based on the thermodynamic energy of hybridization. The common genes as RNA-seq analysis are marked with black circles.
Figure 4. Network plots of dsr11 and target interactions by RNA-seq and in silico prediction. All hypothetical genes were eliminated. (A)The effect of dsr11 knockout on gene expression by RNA-seq. Red nodes represent up-regulated genes and blue nodes represents down-regulated genes. The size of the node represents the expression. The common genes as in silico predicted are marked with black circles. (B) The predicted targets of dsr11 by TargetRNA2. The size of the node represents the binding strength based on the thermodynamic energy of hybridization. The common genes as RNA-seq analysis are marked with black circles.
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Figure 5. Predicted interaction sites of dsr11 and target genes. (A,B) Schematization of the interaction between dsr11 and two target mRNAs based on TargetRNA2. (C,D) The tri-dimensional interaction model was predicted by HNADOCK [46].
Figure 5. Predicted interaction sites of dsr11 and target genes. (A,B) Schematization of the interaction between dsr11 and two target mRNAs based on TargetRNA2. (C,D) The tri-dimensional interaction model was predicted by HNADOCK [46].
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Figure 6. Determination of the binding affinity of dsr11 to target mRNAs by microscale thermophoresis (MST). Red bases mean complementary bases in the binding sequence, the red curve is the fitted combination curve, and the Kd (dissociation equilibrium constant) value is the binding constant of dsr11 and their targets. (A,C) are the binding of trmE mRNA and dr_0651 mRNA, respectively, with dsr11-wt. (B,D) are the binding of trmE mRNA and dr_0651 mRNA, respectively, with dsr11-mut.
Figure 6. Determination of the binding affinity of dsr11 to target mRNAs by microscale thermophoresis (MST). Red bases mean complementary bases in the binding sequence, the red curve is the fitted combination curve, and the Kd (dissociation equilibrium constant) value is the binding constant of dsr11 and their targets. (A,C) are the binding of trmE mRNA and dr_0651 mRNA, respectively, with dsr11-wt. (B,D) are the binding of trmE mRNA and dr_0651 mRNA, respectively, with dsr11-mut.
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Table 1. Selection of the most representative genes differentially expressed in D. radiodurans dsr11 deletion mutant with Log2 (FC) >1 or Log2 (FC) < 1.
Table 1. Selection of the most representative genes differentially expressed in D. radiodurans dsr11 deletion mutant with Log2 (FC) >1 or Log2 (FC) < 1.
Gene NameLog2 (FC) *p ValueDescription
Down-regulated in ∆Dsr11 strain
dr_0828−1.91731.17×10−5Isocitrate lyase
dr_2464−1.385474.06×10−5Peptidyl-prolyl cis-trans isomerase, FKBP-type
dr_1325−1.28974.02×10−5Endopeptidase-related protein
dr_0815−1.13944.23×10−6Transcriptional regulator, GntR family
dr_A0367−1.129891.3×10−4UDP-galactopyranose mutase
dr_0907†−1.087221.73×10−5Cold shock protein, CSD family
Up-regulated in ∆Dsr11 strain
dr_01281.000991.29×10−5GrpE protein
dr_01661.034394.26×10−6Acyl-CoA-binding protein
dr_06511.101173.56×10−5Arginase
dr_13591.130753.08×10−6Outer membrane protein
dr_01391.19027.89×10−6GTP-binding protein HflX
dr_14241.235899.26×10−6DnaJ protein
dr_10461.242587.63×10−6ATP-dependent Clp protease, ATP-binding subunit ClpB
dr_23281.254884.53×10−6Sensor histidine kinase
dr_04401.303999.42×10−5Holliday junction resolvase
dr_09421.314427.5×10−4Tryptophan synthase, alpha subunit
dr_11141.517771.07×10−5Heat shock protein, HSP20 family
dr_14731.644092.04×10−5Phage shock protein A
dr_10161.706291.85×10−5trmE; tRNA modification GTPase TrmE
dr_19944.241334.23×10−5Hypothetical protein
* Log2 (FC) = log2 of fold change calculated as ratio between gene expression of WT vs. ∆Dsr11. † Genes involved in heat stress tolerance regulation.

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MDPI and ACS Style

Xue, D.; Chen, Y.; Li, J.; Han, J.; Zhou, Z.; Zhang, W.; Chen, M.; Lin, M.; Ongena, M.; Wang, J. A Novel Noncoding RNA dsr11 Involved in Heat Stress Tolerance in Deinococcus radiodurans. Biomolecules 2020, 10, 22. https://doi.org/10.3390/biom10010022

AMA Style

Xue D, Chen Y, Li J, Han J, Zhou Z, Zhang W, Chen M, Lin M, Ongena M, Wang J. A Novel Noncoding RNA dsr11 Involved in Heat Stress Tolerance in Deinococcus radiodurans. Biomolecules. 2020; 10(1):22. https://doi.org/10.3390/biom10010022

Chicago/Turabian Style

Xue, Dong, Yun Chen, Jiang Li, Jiahui Han, Zhengfu Zhou, Wei Zhang, Ming Chen, Min Lin, Marc Ongena, and Jin Wang. 2020. "A Novel Noncoding RNA dsr11 Involved in Heat Stress Tolerance in Deinococcus radiodurans" Biomolecules 10, no. 1: 22. https://doi.org/10.3390/biom10010022

APA Style

Xue, D., Chen, Y., Li, J., Han, J., Zhou, Z., Zhang, W., Chen, M., Lin, M., Ongena, M., & Wang, J. (2020). A Novel Noncoding RNA dsr11 Involved in Heat Stress Tolerance in Deinococcus radiodurans. Biomolecules, 10(1), 22. https://doi.org/10.3390/biom10010022

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