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Original Research ARTICLE

Front. Cell. Infect. Microbiol., 30 July 2019 | https://doi.org/10.3389/fcimb.2019.00272

Resuscitation of Dormant “Non-culturable” Mycobacterium tuberculosis Is Characterized by Immediate Transcriptional Burst

Elena G. Salina1*, Artem S. Grigorov2, Oksana S. Bychenko2, Yulia V. Skvortsova2, Ilgar Z. Mamedov2, Tatyana L. Azhikina2 and Arseny S. Kaprelyants1
  • 1Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
  • 2Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia

Under unfavorable conditions such as host immune responses and environmental stresses, human pathogen Mycobacterium tuberculosis may acquire the dormancy phenotype characterized by “non-culturability” and a substantial decrease of metabolic activity and global transcription rates. Here, we found that the transition of M. tuberculosis from the dormant “non-culturable” (NC) cells to fully replicating population in vitro occurred not earlier than 7 days after the start of the resuscitation process, with predominant resuscitation over this time interval evidenced by shortening apparent generation time up to 2.8 h at the beginning of resuscitation. The early resuscitation phase was characterized by constant, albeit low, incorporation of radioactive uracil, indicating de novo transcription immediately after the removal of the stress factor, which resulted in significant changes of the M. tuberculosis transcriptional profile already after the first 24 h of resuscitation. This early response included transcriptional upregulation of genes encoding enzymes of fatty acid synthase system type I (FASI) and type II (FASII) responsible for fatty acid/mycolic acid biosynthesis, and regulatory genes, including whiB6 encoding a redox-sensing transcription factor. The second resuscitation phase took place 4 days after the resuscitation onset, i.e., still before the start of active cell division, and included activation of central metabolism genes encoding NADH dehydrogenases, ATP-synthases, and ribosomal proteins. Our results demonstrate, for the first time, that the resuscitation of dormant NC M. tuberculosis is characterized by immediate activation of de novo transcription followed by the upregulation of genes controlling key metabolic pathways and then, cell multiplication.

Introduction

One-third of the human population is estimated to be latently infected with Mycobacterium tuberculosis, a causative agent of tuberculosis (TB), without overt disease symptoms (World Health Organization, 2018). Being under immune control of the host, latent TB infection presents a constant risk of disease reactivation, which constitutes 10% over a lifetime in the general population and 10% per year in immunocompromised patients (Pawlowski et al., 2012; O'Garra et al., 2013; Scriba et al., 2016; Veatch and Kaushal, 2018). The clinical status of latent TB is traditionally associated with the transition of M. tuberculosis to a dormant state in response to non-optimal growth conditions in vivo due to activation of the host immune response (Zhang, 2004). Dormancy is a specific physiological state characterized by significant cessation of metabolic activity and growth, whereas resuscitation from dormancy is a process of restoring cell activity followed by bacterial multiplication, which in case of M. tuberculosis can lead to disease progression. Therefore, understanding the mechanisms underlying M. tuberculosis resuscitation may provide clues to the development of control measures in order to inhibit reactivation of latent infection, reduce disease severity in infected patients, and prevent pathogen transmission in the population.

Although there are several in vivo models of M. tuberculosis latency and reactivation, including mice (McCune and Tompsett, 1956; Scanga et al., 1999; Radaeva et al., 2005), guinea pigs (Ordway et al., 2010), and rabbits (Manabe et al., 2008; Subbian et al., 2012), they do not reproduce disease pathology and immune control observed in humans. The cellular composition of murine TB granulomas is similar to that of human granulomas, with the exception of the absence of multinucleated giant cells, however, mouse TB lesions lack tissue necrosis, which is the pathological hallmark of human TB granulomas (Dutta and Karakousis, 2014). Granulomas in guinea pigs and rabbits more closely approximate the human granuloma; while TB granulomas in standard mouse models are not hypoxic, tissue hypoxia is observed in those of guinea pigs and rabbits (Dutta and Karakousis, 2014). TB models in non-human primates most closely resemble human disease (Kaushal et al., 2012; Peña and Ho, 2015, 2016), however, they are expensive and time-consuming. Furthermore, the existing in vivo TB reactivation models are aimed to study host immune response after the reactivation of infection rather than the mechanisms of bacterial resuscitation (Mehra et al., 2011; Foreman et al., 2016).

In vitro modeling is a cost-effective strategy, which enables investigation of M. tuberculosis resuscitation process in detail and identify principal molecular players, providing necessary clues for further in vivo experiments (Veatch and Kaushal, 2018). However, despite extensive attempts for modeling of M. tuberculosis dormancy in vitro, including the well-known Wayne model of non-replicating state under hypoxic conditions (Wayne, 1976; Wayne and Hayes, 1996), dormant bacilli obtained in the majority of in vitro models were fully culturable, whereas bacteria isolated from in vivo models of latent TB are “non-culturable” (NC) (Dhillon et al., 2004; Biketov et al., 2007). “Non-culturability” is a specific term for cells that are temporary unable to grow on standard solid media and become culturable only after resuscitation (Oliver, 2005). Therefore, in vitro models of M. tuberculosis dormancy should reproduce the phenomenon of “non-culturability” and more adequately imitate latent TB in humans and animals. Recently, we have developed an in vitro model of M. tuberculosis dormancy in K+-limiting conditions, in which the bacteria acquired the NC phenotype, high tolerance to rifampicin and isoniazid, and significant (up to 1 × 107 cells/ml) recovery potential (Salina E. et al., 2014; Ignatov et al., 2015). Using the model of dormancy under K+ deficiency, we found that the adaptation of M. tuberculosis to the NC state was characterized by global transcriptional repression and maintenance of a pool of stable/stored transcripts in dormant cells (Ignatov et al., 2015).

Still, little is known about the resuscitation of dormant M. tuberculosis and the mechanisms underlying the transition from the NC to multiplication state. Most studies on M. tuberculosis resuscitation modeled reactivation by re-aeration of dormant cells obtained under hypoxia, thus studying only one stress parameter—oxygen deficiency (Du et al., 2016; Iona et al., 2016). Transcription analysis revealed that re-aeration affected multiple metabolic pathways, including downregulation of persistence-associated regulons and upregulation of pathways involved in DNA repair and recombination and synthesis of major cell wall components (Du et al., 2016; Iona et al., 2016), indicating physiological transformation of M. tuberculosis in preparation for cell division.

In our previous study, we examined transcriptomic changes in NC M. tuberculosis during resuscitation after potassium re-introduction using microarray technology, which revealed a lag phase in the transcriptional initiation of resuscitating cells that lasted for at least 4 days (Salina E. G. et al., 2014). However, according to the level of radioactive uracil incorporation, transcriptional activity was triggered in resuscitating M. tuberculosis immediately after switching to growth-favoring conditions. It can be speculated that the failure to detect activation of gene expression at the early resuscitation phase of dormant NC bacilli characterized by global transcriptional repression (Ignatov et al., 2015) can be attributed to the limited sensitivity of the microarray assay (Shendure, 2008). Therefore, in this study, we examined early transcriptional response of M. tuberculosis to resuscitation using a more sensitive RNA-seq approach.

Here, we report, for the first time, that the resuscitation of NC M. tuberculosis from dormancy involves two-stage transcriptional activation, including immediate de novo mRNA synthesis, that precedes cell multiplication. This scenario involves activation of lipid metabolism and cell defense mechanisms followed by the induction of central metabolic reactions.

Materials and Methods

Bacteria and Media

Dormant NC M. tuberculosis was obtained as described previously (Ignatov et al., 2015). Briefly, M. tuberculosis strain H37Rv was initially grown from frozen stocks for 10 days in Sauton medium containing (per liter): 0.5 g KH2PO4, 1.4 g MgSO4 · 7H2O, 4 g L-asparagine, 60 ml glycerol, 0.05 g ferric ammonium citrate, 2 g sodium citrate, 0.1 ml 1% ZnSO4, pH 7.0 (adjusted with 1 M NaOH) and supplemented with ADC and 0.05% Tween 80, at 37°C with agitation (200 rpm). The starter culture was inoculated into fresh medium (same composition) and incubated for another 10 days with agitation (200 rpm) until its optical density at 600 nm (OD600) reached 4.0. These bacteria were then inoculated (5 × 105 cells/ml) into K+-deficient Sauton medium (containing 8.9 g Na2HPO4 · 12 H2O instead of 0.5 g KH2PO4) and grown at 37°C, with agitation (200 rpm). After 14–15 days of culture, when CFU started to decrease, rifampicin (5 μg/ml) was added to eliminate culturable bacteria and to obtain the NC population with the “zero-CFU” phenotype.

Resuscitation of “Non-culturable” Cells

Dormant NC cells were harvested by centrifugation (20 min at 5,000 rpm), washed twice with fresh Sauton media and diluted 5 times from initial culture volume with “resuscitation media” which is standard Sauton medium containing 0.6% glycerol (Shleeva et al., 2011) with ADC and Tween-80 (0.05% v/v), and supplemented with an equal volume of used culture supernatant, prepared as previously described. Bacterial cultures were incubated with agitation (150 rpm) at 37°C and harvested at appropriate time points for colony forming units (CFU) and most probable numbers (MPN) counting, radioactive uracil incorporation, DPI-reductase activity measurement and isolation of RNA. In some cases, resuscitation procedure was performed in the presence of 5 μg/ml of rifampicin.

Cell Viability Estimation

To assess cell viability, 10-fold serial dilutions of M. tuberculosis cultures were plated in triplicate onto solidified Sauton agar supplemented with ADC and incubated at 37°C for 25 days, after which CFUs were counted. To assess the proportion of bacteria with the ability to resuscitate in liquid medium by MPN assay, 10-fold bacterial dilutions were resuspended in ADC-supplemented Sauton medium diluted 1:1 (v/v; final glycerol concentration, 0.6%) and seeded into 48-well Corning microplates, which were incubated statically at 37°C for 30 days. The wells with visible bacterial growth were counted as positive, and MPN values were calculated using standard statistical methods (de Man, 1975).

Incorporation of Radioactively Labeled Uracil

One μl of 5,6-3H uracil (1 mCi) was added to 1 ml culture samples and incubated at 37°C with agitation for 20 h. Two hundred microliters of this culture was placed in 3 ml 7% ice-cold CCl3COOH and incubated at 0°C for 20 min, followed by filtration through a glass microfiber filter (Whatman). Precipitated cells were washed with 3 ml 7% CCl3COOH and 6 ml 96% ethanol. Filters were placed in 10 ml scintillation mixture; impulse counts were determined by LS analyzer (Beckman Instruments) and expressed as counts per minute (cpm).

DPI-Reductase Activity Measurement

The activity of the initial part of respiratory chain (Complex I) of cells was evaluated by estimation of their activity to reduce the artificial electron acceptor−2,6-dichlorophenol-indophenol (DPI) in the presence of menadione by measurement of color changes in the optical density at 600 nm. The reaction mixture (1 ml) contained: 0.5 mM 2,6-DPI; 0.145 mM menadione and M. tuberculosis cell suspension (1 × 107 cells) in 0.1 M phosphate buffer pH 7.0 at 37°C. The activity was calculated as pmols of DPI on 1 ml of cell suspension per minute, defining it as the average of the results of 3 measurements, while the relative error did not exceed 5%.

Isolation of RNA

Bacterial cultures were rapidly cooled on ice, centrifuged, and total RNA was isolated by phenol-chloroform extraction after cell disruption with BeadBeater (BioSpec Products) as previously described (Rustad et al., 2009). After isolation, RNA was treated with Turbo DNase (Life Technologies) to remove traces of genomic DNA, and purified with the RNeasy mini kit (Qiagen). Amounts and purity of RNA were determined spectrophotometrically; integrity of RNA was assessed in 1% agarose gel. Semi-quantitative evaluation of rRNA in total RNA samples was performed by Gel-Pro Analyzer software (Meyers Instruments).

Illumina Sequencing

RNA samples were depleted of 16S and 23S rRNA using Ribo-Zero rRNA Removal Kit for Gram-Positive Bacteria (Epicenter). Sequencing libraries were generated using the resulting ribosomal transcript-depleted RNA and the TruSeq Stranded mRNA Library Prep Kit (Illumina) (Run 1) or NEBNext® Ultra™ II Directional RNA Library Prep Kit for Illumina (Run 2) according to the manufacturers' protocol. Sequencing was performed using the Illumina HiSeq 4000 (Run 1) or HiSeq 2500 (Run 2). Experiments were performed in triplicates.

Processing of RNA-seq Data

After quality control evaluation and trimming of bad qualitative reads the reads were mapped on the reference M. tuberculosis genome (AL123456.3, http://www.ncbi.nlm.nih.gov/) by Bowtie2 (Langmead and Salzberg, 2012). The alignment was performed with the “–local” option, which allows leaving 5′ and 3′ ends uncharted. Calculation of the mapped reads for all genes was performed using functions of the Feature Counts package (Liao et al., 2014) built into the author's script. Gene expression was represented in form of reads per kilobase per million (RPKM), for the calculation of which only unambiguously mapping reads were used. Differentially expressed genes were identified by the software package DESeq2 (Love et al., 2014). The genes were considered to be differentially expressed, if the p-adjusted value was <0.1, and the expression change module (FC, Fold change) was not <3. Further distribution of genes according functional categories was performed using the Mycobrowser database (https://mycobrowser.epfl.ch/).

Quantitative Real-Time PCR

One microgram of total RNA was used for cDNA synthesis with random hexanucleotides and SuperScript III reverse transcriptase (Life Technologies). Quantitative PCR was performed using qPCRmix-HS SYBR (Evrogen) and the Light Cycler 480 real-time PCR system (Roche); cycling conditions were as follows: 95°C for 20 s, 60°C for 20 s, 72°C for 30 s, repeat 40 times; primers are listed in Table S1. In the end of amplification, a dissociation curve was plotted to confirm specificity of the product. All real-time experiments were repeated in triplicate. The results were normalized against the 16S rRNA gene.

Results

Dynamics of NC M. tuberculosis Resuscitation

To characterize the resuscitation phenomenon and the transition of dormant M. tuberculosis from the NC state (“zero-CFU” phenotype) to the multiplication phase, dormant NC bacilli were washed and inoculated into fresh resuscitation medium. Although there were no changes in the optical density (OD) 600 or most probable number (MPN) corresponding to the maximum count of potentially viably cells in the population until day 7 (the time point when cell multiplication begins), the number of culturable bacteria estimated by colony forming units (CFU) increased by about 10 times immediately after washing and continued to rise, reaching 5.7 × 107 CFU/ml at day 7 (Figure 1). Estimation of the apparent generation time revealed its gradual increase from 2.8 h (from NC state to day 1 of resuscitation) to 16 h (from day 6 to 7 of resuscitation). As the generation time for replicating M. tuberculosis in this medium is 18–20 h, its shortening indicates the prevalence of resuscitation over multiplication during transition of NC M. tuberculosis to replicating state. In addition, the level of metabolic activity assessed by incorporation of radioactively labeled uracil and DPI-reductase activity, which reflects functioning of the initial part of the respiratory chain, was constantly low until a steep increase at day 7, which also supports the predominance of resuscitation over cell division up to day 6 (Figure 1). The constant number of potentially viable cells both in NC state and resuscitating mycobacteria estimated by MPN assay also supports the notion of resuscitation preceding multiplication.

FIGURE 1
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Figure 1. Resuscitation of dormant non-culturable M. tuberculosis bacilli. Changes in cell characteristics during the transition from NC to actively growing state. (A) Most probable number (squares) MPN/ml; colony forming units (circles) CFU/ml; optical density (diamonds) OD600. (B) Radioactive incorporation of uracil (triangles) cpm/ml; DPI reduction (squares) pmol/(min × ml). This experiment was repeated five times with similar results.

Ribosomal RNA Status

Total RNA profiling in dormant NC M. tuberculosis (Dorm) revealed the presence of an additional fragment below the 23S rRNA band (Figure 2A), which was likely a product of specific 23S rRNA cleavage characteristic for NC M. tuberculosis (Ignatov et al., 2015). This 23S rRNA fragment was detected over the whole resuscitation period—from dormancy to day 7 (Figure 2A).

FIGURE 2
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Figure 2. Ribosomal RNA status during resuscitation. (A) 1.0% agarose gel profiling of total RNA samples. Arrow indicates the 23S rRNA fragment characteristic for M. tuberculosis NC state. M−1 kb DNA ladder (SibEnzyme, Russia). (B) Changes in the proportion of 23S/23S fragment/16S rRNAs in the process of resuscitation. The proportions obtained by image 2A processing by Gel-Pro Analyzer software. The results of three independent RNA isolation experiments were presented.

We estimated the relative ratio of 23S, 23S fragment and 16S rRNAs at each time point of resuscitation of bacterial culture (Figure 2B), and found that it was very similar in dormancy and at days 1 and 2. From day 4 we noticed the increase of intact 23S rRNA amount and corresponding decrease of 23S fragment amount. This tendency is most pronounced at day7, where integrity of 23S rRNA is the highest.

RNA-seq Analysis

The constant, albeit low incorporation of radioactive uracil indicative of de novo transcription in resuscitating cells immediately after the resuscitation start (Figure 1) prompted us to perform dynamic transcriptome profiling over the resuscitation period by RNA-seq at 5 time points: dormant NC state, days 1, 2, 4, and 7. Using the software package DESeq2, we identified genes differentially expressed in resuscitating compared to dormant M. tuberculosis (Table S2). The results indicated that the total number of differentially expressed genes gradually increased over time, reaching maximum at day 7. Volcano plots clearly demonstrate that according to the number of upregulated transcribed genes and transcription intensity (log2FC ≥ 1.6), the resuscitation process could be divided into two phases: before and after day 4 (Figure 3). The Venn diagram shows the number of differentially expressed protein-coding genes (log2FC ≥ 1.6) on different time points over 7-day resuscitation and their intersections revealed that 21 genes were expressed throughout the whole period, 21were common for days 1 and 2, 45 started expression at day 2, 93—at day 4, and 399—at day 7 (Figure 4).

FIGURE 3
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Figure 3. Volcano plots of differentially expressed genes. Fold changes between genes were plotted. Criteria of >3 x change (log2FC > 1.6) in expression and <0.1 p-adj-value were used to define significantly changed genes. Differentially expressed genes which met the criteria are shown in red, and those which were expressed at lower levels are shown in black.

FIGURE 4
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Figure 4. Venn diagram showing the number of differentially expressed genes in days 1, 2, 4, and 7 comparing to dormant NC state.

The functional analysis of differentially expressed genes was performed using the Mycobrowser database and the results for genes with expression fold change exceeding 3 (log2FC ≥ 1.6) are shown in Table S2.

Transcriptional Changes at the Early Resuscitation Phase

Comparison of RPKM values for individual genes at days 1, 2, 4, and 7 with those at the NC state and expression analysis revealed two groups of genes differing in transcription dynamics (Table S2): the first contained genes activated at days 1 and 2 and possibly downregulated later, and the second—those activated after day 4.

In the first group, 84 protein-coding genes showed more then 3-fold upregulation at day 1. The prominent increase was observed for genes encoding enzymes of fatty acid synthase system type I (FASI) and type II (FASII) (Figure 5) responsible for biosynthesis of fatty/mycolic acids (Singh et al., 2011), including diacylglycerol kinase (Rv2252), meromycolate extension acyl carrier protein (Rv2244, acpM), holo acyl-carrier protein synthase (Rv2523c, acpS), malonyl CoA-acyl carrier protein transacylase (Rv0649, fabD), keto-acyl-carrier protein synthases (Rv2245, kasA and Rv2246, kasB), atty acid synthase (Rv2524c, fas), acetyl/propionyl-CoA carboxylase (Rv2247, accD6), thioesterase (Rv2928, tesA), polyketide synthase associated proteins (Rv1528c, papA4), and enoyl-CoA hydratase (Rv1472, echA12).

FIGURE 5
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Figure 5. Dynamics of several functional groups expression during resuscitation. Differential expression is given relative to dormant NC state.

The genes encoding redox-sensing transcription factor WhiB6 and transcriptional regulator Rv3830c belonging to the TetR-family were also considerably induced after 24 h of resuscitation. Similar expression shifts were observed for the pe13 (Rv1195), ppe18 (Rv1196), esxK (Rv1197), and esxL (Rv1198) genes, coding the components of the ESX-5b secretion system (Shah and Briken, 2016).

Several genes of mycobacterial defense systems, such as hsp (Rv0251c) encoding a molecular chaperone heat shock protein, clpB (Rv0384c) encoding endopeptidase which removes oxidized proteins, and antitoxin vapB12 (Rv1721c) encoding antitoxin, were upregulated at the resuscitation start. A similar activation pattern was observed for trxB1(Rv1471) coding for thioredoxin, which participates in various redox reactions through reversible oxidation of dithiol, and msrB (Rv2674) coding for peptide methionine sulphoxide reductase, a repair enzyme for proteins inactivated by oxidation. In addition, the expression of genes encoding some enzymes involved in redox reactions, including dioxygenase Rv3161c, oxidoreductases Rv3352c, Rv0369c, and Rv0370c as well as electron acceptors flavoproteins Rv2250A and Rv2251 was also upregulated, indicating intensification of redox processes in the early resuscitation phase. The pyrE (Rv0382c) gene for orotate phosphoribosyl transferase involved in pyrimidine biosynthesis was also significantly activated.

The transcriptional profile of M. tuberculosis at resuscitation day 2 closely resembled that at day 1, however, more genes (107) were upregulated by >3-fold. In particular, the transcription activity of the majority of genes listed above, namely, those belonging to FAS I and FAS II, fluctuated at the same level or tended to be slightly higher than at 24 h. Transcription of whiB6 and hsp tended to increase further at day 2.

Transcriptional Changes at the Late Resuscitation Phase

In the second group, the spectrum of genes activated at the late phase of resuscitation (days 4–7) was significantly different from that in the first group. Among the late-response genes, there were those related to central metabolism pathways, such as NADH dehydrogenase subunits nuoEFGHIJKLM (Rv3149-Rv3157). Activation of qcrA (Rv2195, iron-sulfur protein), qcrB (Rv2196), and qcrC (Rv2197, ubiquinol-cytochrome C reductase), and ctaE (Rv2193, cytochrome C oxidase) indicated initiation of aerobic respiration at day 4. The atpA-G (Rv1304-Rv1311) genes coding for the ATPase complex were also upregulated. Activation of enzymes belonging to the tricarboxylic acid cycle: sdhAB (Rv3318, Rv3319, succinate dehydrogenase subunit), acn (Rv1475c, aconitase), sucCD (Rv0951, Rv0952, succinyl-CoA synthetase subunits), gltA2 (Rv0896, citrate synthase I), ndkA (Rv2245c, nucleoside phosphate kinase participating in nucleoside biosynthesis), and pntAb and pntB (Rv0156, Rv0157, transhydrogenase subunits providing transhydrogenation between NADH and NADP) clearly indicated initiation of energy metabolism after resuscitation day 4.

The expression of genes coding for the enzymes of the tryptophan biosynthesis pathway (trpABCS, Rv1611-Rv1613, and Rv3336c, respectively) and proteins of the antigen 85 complex [antigen 85 and cord-factor, fbpA (Rv3804c) and fbpD (Rv3803c), respectively] was also increased. The upregulation of rmlBC (Rv3464-Rv3465, rhamnose biosynthesis) and ppiA (Rv0009, peptidyl-prolyl cis-trans isomerase accelerating protein folding) indicated the start of central metabolic processes, whereas that of ahpCD (Rv2428-Rv2429, involved in oxidative stress response) suggested unbalanced metabolism at this stage of resuscitation.

To confirm the RNA-seq data, we assessed the expression dynamics of selected genes by qPCR using the 16S rRNA gene as a reference. During resuscitation, the correlation between the RNA-seq (RPKM) and qPCR data was moderate to high as evidenced by Spearman correlation coefficient from 0.60 to 0.95 (Table S3).

Overall, these results reveal that transcriptional changes in resuscitating M. tuberculosis may occur in two steps: at first, activation of fatty acid biosynthesis, defense systems, and transcriptional regulators is provided, and then, the induction of central metabolism and respiration takes places prior to cell multiplication (Figure 5).

Non-coding Transcriptome

Recent studies have reported upregulation of non-coding (nc) RNAs in M. tuberculosis under different stress conditions (Arnvig and Young, 2012; Ignatov et al., 2015; Del Portillo et al., 2018). Thus, we have previously found that MTS0997, MTS1338, and MTS2823 were the most abundant ncRNAs in dormant NC mycobacteria subjected to potassium deficiency (Ignatov et al., 2015). During resuscitation, only one ncRNA, MrsI (MTB000142, ncRv11846), was upregulated: 4-fold at day 1 and 6- to 7-fold at days 2 and 4 (Table S2). MTS2823 (MTB000078) and MTS0997 (mcr11, MTB000063) were downregulated 4-fold at day 1 and this level remained constant, whereas MTS1338 expression changes were not statistically significant.

These data were further validated by qPCR at the NC stage and at days 1, 2, 4, and 7. The results revealed that the expression of MST2823 was unchanged, that of MTS1338 was slightly upregulated at day 4 and increased by 2- to 3-fold at day 7, and that of MTS0997 also increased by about 10-fold at day 7 (Figure 6).

FIGURE 6
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Figure 6. Dynamics of ncRNAs expression during resuscitation. qPCR data are normalized to 16S rRNA transcription level.

Confirmation of the de novo Transcription at the Early Resuscitation Phase

To confirm the early transcriptional response and de novo mRNA synthesis at resuscitation, we treated resuscitating M. tuberculosis by rifampicin, a blocker of RNA-polymerase activity. The results revealed no changes in the OD600 and metabolic activity until day 7, and even a log reduction in CFU by day 2, indicating that transcriptional blockade inhibited resuscitation (Figure S1).

The expression of seven most upregulated genes representing the early transcriptional response was examined by qPCR at days 1 and 2 in resuscitating M. tuberculosis treated or not with rifampicin and compared to that in NC bacteria. The following genes were analyzed: Rv2243 (fabD), Rv2246 (kasB), Rv3160, Rv0251c (hsp), Rv0384 (clpB), Rv2674 (msrB), and Rv1471 (trxB1). Changes observed in the transcription of these genes at resuscitation days 1 and 2 were abolished by rifampicin treatment (Figure S2A), confirming the de novo mRNA synthesis at the early stages of M. tuberculosis resuscitation.

Finally, we performed qPCR analysis of ncRNAs and found that rifampicin caused no difference in the transcription rate of ncRNAs MTS2823 and MTS1338 (Figure S2B), indicating that these ncRNAs are stable and not being newly synthesized during resuscitation. However, the upregulation of MTS0997 and MrsI observed at days 1 and 2 was completely blocked by rifampicin, indicating that their de novo synthesis is required at the early resuscitation stage of M. tuberculosis.

Discussion

In the present study, we examined the resuscitation of dormant M. tuberculosis driven to the NC phenotype by K+ deficiency. K+ is crucial for the maintenance of an electrochemical gradient and proton motive force in the membrane and for the regulation of intracellular pH and osmotic pressure in both eukaryotic and bacterial cells (Epstein, 2003). In M. tuberculosis, low K+ concentrations result in the inability to maintain acceptable intracellular pH levels in mildly acidic conditions (Sturgill-Koszycki et al., 1994), thus decreasing cell viability (Rao et al., 2008).

Transcriptional response in several in vivo studies (Karakousis et al., 2004; Rachman and Kaufmann, 2007; Garton et al., 2008) may point out potassium deficiency for M. tuberculosis. Therefore, we suggested that low K+ concentration may be considered as a trigger for development dormant phenotype in vivo. We proved experimentally, that K+ deficiency in vitro induced a dormant phenotype which is characterized by (i) significant decrease in metabolic activity, (ii) tolerance to antibiotics, (iii) changed morphology, (iv) “non-culturability” (Salina E. G. et al., 2014). NC mycobacteria obtained in the K+ deficiency model are characterized by a high recovery potential and could be resuscitated in Sauton medium diluted 1:1 with culture supernatant (Figure 1). According to the MPN assay, nearly 50% of NC M. tuberculosis population could be driven to the culturable state (Ignatov et al., 2015). According to Figure 1, resuscitation of dormant cells in liquid medium takes at least 6 days. Evidently, that during this period both resuscitation and further cell replication can take place. However, significant shortening of apparent generation time, especially in the very beginning of the reactivation process, steep increase in metabolic activity (radioactive uracil incorporation and DPI reduction) at the same period followed by a plateau, and constant numbers of potentially viable cells (MPN assay) rather indicate the significant prevalence of resuscitation over replication at the first 48 h after the removal of the stress factor. However, the impact of cell multiplication on the overall process cannot be excluded, with increased proportion of replication to the end of resuscitation period.

Earlier, we found that the transition of M. tuberculosis to the NC state was accompanied by significant global downregulation of transcriptional activity: by at least 30-fold compared to replicating cells (Ignatov et al., 2015). In this study, we identified, for the first time, the phenomenon of “transcriptional burst” characterized by sharp transcriptional activation of certain genes and significant increase (by 10- to 20-fold) of de novo mRNA synthesis at the first 24 h, i.e., time corresponding to one generation (Figure 5 and Table S3), which is consistent with global transcriptional repression during transition to dormancy (Ignatov et al., 2015). The sensitivity of transcriptional activation to rifampicin indicates participation of RNA polymerase, which is fairly stable and present in cells dormant for long periods of time (Trutneva, personal communication). However, the mechanisms underlying the early transcriptional activation in resuscitating M. tuberculosis are unclear and require further investigation.

Results of transcriptome analysis by RNA-seq revealed two groups of genes activated during resuscitation of NC M. tuberculosis. In the first group, transcriptional upregulation occurred immediately after stress removal (day 1), suggesting that these genes participate in the early processes necessary for resuscitation rather than multiplication. Interestingly, the majority of genes in fatty acid synthase (FASI and FASII) systems belong to this early activated group (Figure 7). Mycolic acids (2-alkyl, 3-hydroxy long-chain fatty acids) are the major component of the mycobacterial cell wall, constituting about 50% of the dry weight (Barry, 2001), and are crucial for survival and pathogenesis of M. tuberculosis, providing resistance to antibiotics and dehydration (Takayama et al., 2005). Our previous results indicate that unlike dormant M. tuberculosis isolated from sputum (Garton et al., 2008), NC mycobacteria obtained under K+ deficiency have lower lipid content than replicating cells (Salina et al., 2010), suggesting that the activation of fatty acids biosynthesis during resuscitation may compensate the lack of lipids in dormancy providing augmentation of cell wall components for further bacilli multiplication.

FIGURE 7
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Figure 7. Transcriptional activation of genes involved in fatty acids biosynthesis systems (FASI/FASII) in the early resuscitation phase. Components upregulated at Day1 are given in green boxes. Red numbers designate transcriptional fold changes comparing to dormant NC state.

We also observed transcriptional induction of heat-shock protein Hsp, a molecular chaperone, and endopeptidase ClpB involved in degradation of misfolded and oxidized proteins and protein turnover. Clp proteases have been identified as factors specific to M. tuberculosis reactivation (Sherrid et al., 2010; McGillivray et al., 2015; Du et al., 2016) and mycobacteria lacking ClpB were found to be less fit to recover from the stationary phase or antibiotic exposure in vitro and to have lower virulence in mice than the wild type (Vaubourgeix et al., 2015).

WhiB6 belonging to the WhiB superfamily of small global transcriptional regulators is known to control aerobic and anaerobic metabolism, cell division, and virulence of M. tuberculosis (Chen et al., 2016). Transcriptional regulators Rv3830c and Rv3160c of the TetR protein family are involved in the regulation of multidrug efflux pumps, response to osmotic stress and toxic chemicals, control of catabolic pathways and differentiation processes, and antibiotic resistance of pathogenic bacteria, including M. tuberculosis (Ramos et al., 2005). Therefore, the upregulation of these genes during reactivation from dormancy may reflect metabolic adjustment in resuscitating cells, in particular, neutralization of toxic component produced in catabolic reactions.

We paid special attention to small ncRNAs known to control transcription and translation in bacteria. Typically, ncRNAs are expressed in response to external factors, enabling bacterial adaptation to changing environmental conditions and regulating the key stages of pathogenesis. In our study, significant increase was observed only for MrsI, whose de novo (rifampicin-sensitive) synthesis was steady up to the cell multiplication phase at day 7. This ncRNA was recently characterized as a mediator of iron-sparing response but is also activated by other macrophage-related stress factors, and it is suggested that MrsI has an anticipatory function, preparing mycobacteria to potentially unfavorable conditions (Gerrick et al., 2018).

Another ncRNA, MTS0997, was upregulated to a much less extent; however, its de novo synthesis was also confirmed. MTS0997 was shown to be involved in the control of M. tuberculosis lipid metabolism and was overexpressed under hypoxia in the presence of fatty acids (Aguilar-Ayala et al., 2017; Del Portillo et al., 2018). Given sharp upregulation of FASI/FASII fatty acids synthesis systems at the very start of resuscitation, the increase in MTS0997 expression suggests its involvement in the induction of lipid metabolism in mycobacteria after dormancy.

Two other ncRNAs, MTS1338 and MTS2823, were shown to be significantly represented in the NC M. tuberculosis transcriptome. MTS1338 is highly expressed during the stationary growth phase (Arnvig et al., 2011) and at dormancy (Ignatov et al., 2015) and was shown to be a part of the DosR regulon activated in hypoxia (Moores et al., 2017), suggesting its role in the maintenance of M. tuberculosis survivability in unfavorable conditions.

MTS2823 belonging to 6S ncRNAs is the most abundant ncRNA in the stationary phase of M. tuberculosis (Arnvig et al., 2011). Its M. smegmatis homolog Ms1 influences the RNApolymerase level and is suggested to sequester the RNA polymerase core in a cache of inactive enzymes, which can be reactivated when needed (Sikova et al., 2019). Such a mechanism could be critical when the demand for RNA polymerase activity increases after environmental changes such as nutrient availability and outgrowth from the stationary phase. Our quantitative analysis demonstrated constant levels of MTS2823 and its very slight increase of MTS1338 only after resuscitation day 4, which should be mainly due to high ncRNA stability (Ignatov et al., 2015; Moores et al., 2017), rather than de novo synthesis. Therefore, we can conclude that MTS1338 and MTS2823 are not involved in the resuscitation process after K+-limiting conditions but are preserved through the NC state as stable transcripts accumulated at the time of active M. tuberculosis growth.

After 4 days of resuscitation, a group of “late” genes, including those regulating central metabolism (respiration, ATP-synthesis, TCA cycle activity, and translation), are activated, suggesting their role in the initiation of cell division. It is interesting that the five genes coding for resuscitation-promoting factors (Rpfs) did not show significant activation before the start of cell division; only rpfE was significantly upregulated at day 7, which coincides with the multiplication onset. In our previous study, we found that only rpfB was induced after 8 days of resuscitation from the NC state (Salina E. G. et al., 2014). These findings are consistent with late activation of Rpfs during resuscitation of M. smegmatis (Shleeva et al., 2013).

In conclusion, the application of RNA-seq in combination with qPCR enabled us to detect transcriptional changes and de novo mRNA synthesis at the early stage of M. tuberculosis resuscitation from the dormant NC state, which preceded the activation of genes controlling central metabolism. Our findings revealed, for the first time, the occurrence of an immediate transcriptional burst at the very start of pathogen resuscitation, which is followed by two-phase changes in the expression profile and then, cell multiplication. The described phenomenon of transcriptional activation at the early stage of M. tuberculosis recovery from dormancy warrants further investigation to provide comprehensive understanding of the mechanisms underlying pathogen transition from dormancy to replication, which is crucial for combating latent tuberculosis.

Data Availability

The datasets generated for this study can be found in NCBI Sequence Read Archive (SRA) database (Accession No. SRR8816592, SRR8816593, SRR8816588, SRR8816589, SRR8816590, SRR8816591, SRR8816605, SRR8816602, SRR8816594, SRR8816595, SRR8816596, SRR8816600, SRR8816603, SRR8816597, SRR8816601, SRR8816604, SRR8816598, SRR8816599).

Author Contributions

TA, AK, and ES conceived and designed the experiments and wrote the manuscript. ES, AG, OB, YS, and IM performed the experiments. AK, TA, ES, and AG analyzed the data. ES, TA, and AG prepared figures and graphs. All the authors read and approved the final manuscript.

Funding

This work was financially supported by the Russian Science Foundation grants 18-15-00332 (to TA, transcriptome studies) and 16-15-00245 (to AK, microbiology studies).

Conflict of Interest Statement

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcimb.2019.00272/full#supplementary-material

Table S1. Oligonucleotides used in the study.

Table S2. NGS data.

Table S3. Confirmation of NGS data by qPCR. Two different sets of genes were checked for changes in transcripts level in days 2, 4, and 7 vs. dormancy (1), and days 1, 2 vs. dormancy (2). Spearman correlation coefficients between NGS and PCR data were calculated.

Figure S1. Resuscitation of dormant non-culturable M. tuberculosis bacilli in the presence of rifampicin. Changes in cell characteristics in the absence (in black) and in the presence (in red) of 5 μg/ml of rifampicin: colony forming units (circles), CFU/ml; radioactive incorporation of uracil (triangles) cpm/ml; optical density (diamonds) OD600. This experiment was repeated five times with similar results.

Figure S2. Expression of several protein-coding genes (A) and ncRNAs (B) at early stages of resuscitation in bacterial cultures with and without rifampicin (rif) treatment. qPCR data are normalized to 16S rRNA transcription level.

References

Aguilar-Ayala, D. A., Palomino, J. C., Vandamme, P., Martin, A., and Gonzalez-Y-Merchand, J. A. (2017). Genetic regulation of Mycobacterium tuberculosis in a lipid-rich environment. Infect. Genet. Evol. 55, 392–402. doi: 10.1016/j.meegid.2016.10.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Arnvig, K., and Young, D. (2012). Non-coding RNA and its potential role in Mycobacterium tuberculosis pathogenesis. RNA Biol. 9, 427–436. doi: 10.4161/rna.20105

PubMed Abstract | CrossRef Full Text | Google Scholar

Arnvig, K. B., Comas, I., Thomson, N. R., Houghton, J., Boshoff, H. I., Croucher, N. J., et al. (2011). Sequence-based analysis uncovers an abundance of non-coding RNA in the total transcriptome of Mycobacterium tuberculosis. PLoS Pathog. 7:e1002342. doi: 10.1371/journal.ppat.1002342

PubMed Abstract | CrossRef Full Text | Google Scholar

Barry, C. E. (2001). Interpreting cell wall ‘virulence factors’ of Mycobacterium tuberculosis. Trends Microbiol. 9, 237–241. doi: 10.1016/S0966-842X(01)02018-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Biketov, S., Potapov, V., Ganina, E., Downing, K., Kana, B. D., and Kaprelyants, A. (2007). The role of resuscitation promoting factors in pathogenesis and reactivation of Mycobacterium tuberculosis during intra-peritoneal infection in mice. BMC Infect. Dis. 7:146. doi: 10.1186/1471-2334-7-146

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Z., Hu, Y., Cumming, B. M., Lu, P., Feng, L., Deng, J., et al. (2016). Mycobacterial WhiB6 differentially regulates ESX-1 and the dos regulon to modulate granuloma formation and virulence in zebrafish. Cell Rep. 16, 2512–2524. doi: 10.1016/j.celrep.2016.07.080

PubMed Abstract | CrossRef Full Text | Google Scholar

de Man, J. C. (1975). The probability of most probable numbers. J. Appl. Microbiol. 1, 67–78.

Google Scholar

Del Portillo, P., García-Morales, L., Menéndez, M. C., Anzola, J. M., Rodríguez, J. G., Helguera-Repetto, A. C., et al. (2018). Hypoxia is not a main stress when Mycobacterium tuberculosis is in a dormancy-like long-chain fatty acid environment. Front. Cell Infect. Microbiol. 8:449. doi: 10.3389/fcimb.2018.00449

CrossRef Full Text | Google Scholar

Dhillon, J., Lowrie, D. B., and Mitchison, D. A. (2004). Mycobacterium tuberculosis from chronic murine infections that grows in liquid but not on solid medium. BMC Infect. Dis. 4:51. doi: 10.1186/1471-2334-4-51

CrossRef Full Text | Google Scholar

Du, P., Sohaskey, C. D., and Shi, L. (2016). Transcriptional and physiological changes during Mycobacterium tuberculosis reactivation from non-replicating persistence. Front. Microbiol. 7:1346. doi: 10.3389/fmicb.2016.01346

PubMed Abstract | CrossRef Full Text | Google Scholar

Dutta, N. K., and Karakousis, P. C. (2014). Latent tuberculosis infection: myths, models, and molecular mechanisms. Microbiol. Mol. Biol. Rev. 78, 343–371. doi: 10.1128/MMBR.00010-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Epstein, W. (2003). The roles and regulation of potassium in bacteria. Prog. Nucleic Acid Res. Mol. Biol. 75, 293–320. doi: 10.1016/S0079-6603(03)75008-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Foreman, T. W., Mehra, S., LoBato, D. N., Malek, A., Alvarez, X., Golden, N. A., et al. (2016). CD4+ T-cell-independent mechanisms suppress reactivation of latent tuberculosis in a macaque model of HIV coinfection. Proc. Natl. Acad. Sci. U.S.A. 113, E5636–E5644. doi: 10.1073/pnas.1611987113

PubMed Abstract | CrossRef Full Text | Google Scholar

Garton, N. J., Waddell, S. J., Sherratt, A. L., Lee, S. M., Smith, R. J., Senner, C., et al. (2008). Cytological and transcript analyses reveal fat and lazy persister-like bacilli in tuberculous sputum. PLoS Med. 5:e75. doi: 10.1371/journal.pmed.0050075

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerrick, E. R., Barbier, T., Chase, M. R., Xu, R., François, J., Lin, V. H., et al. (2018). Small RNA profiling in Mycobacterium tuberculosis identifies MrsI as necessary for an anticipatory iron sparing response. Proc. Natl. Acad. Sci. U.S.A. 115, 6464–6469. doi: 10.1073/pnas.1718003115

PubMed Abstract | CrossRef Full Text | Google Scholar

Ignatov, D. V., Salina, E. G., Fursov, M. V., Skvortsov, T. A., Azhikina, T. L., and Kaprelyants, A. S. (2015). Dormant non-culturable Mycobacterium tuberculosis retains stable low-abundant mRNA. BMC Genomics 16:954. doi: 10.1186/s12864-015-2197-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Iona, E., Pardini, M., Mustazzolu, A., Piccaro, G., Nisini, R., Fattorini, L., et al. (2016). Mycobacterium tuberculosis gene expression at different stages of hypoxia-induced dormancy and upon resuscitation. J. Microbiol. 54, 565–572. doi: 10.1007/s12275-016-6150-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Karakousis, P. C., Yoshimatsu, T., Lamichhane, G., Woolwine, S. C., Nuermberger, E. L., Grosset, J., et al. (2004). Dormancy phenotype displayed by extracellular Mycobacterium tuberculosis within artificial granulomas in mice. J. Exp. Med. 200, 647–657. doi: 10.1084/jem.20040646

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaushal, D., Mehra, S., Didier, P. J., and Lackner, A. A. (2012). The non-human primate model of tuberculosis. J. Med. Primatol. 41, 191–201. doi: 10.1111/j.1600-0684.2012.00536.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Langmead, B., and Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359. doi: 10.1038/nmeth.1923

PubMed Abstract | CrossRef Full Text | Google Scholar

Liao, Y., Smyth, G. K., and Shi, W. (2014). featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930. doi: 10.1093/bioinformatics/btt656

PubMed Abstract | CrossRef Full Text | Google Scholar

Love, M. I., Huber, W., and Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15:550. doi: 10.1186/s13059-014-0550-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Manabe, Y. C., Kesavan, A. K., Lopez-Molina, J., Hatem, C. L., Brooks, M., Fujiwara, R., et al. (2008). The aerosol rabbit model of TB latency, reactivation and immune reconstitution inflammatory syndrome. Tuberculosis (Edinb) 88, 187–196. doi: 10.1016/j.tube.2007.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

McCune, R. M., and Tompsett, R. (1956). Fate of Mycobacterium tuberculosis in mouse tissues as determined by the microbial enumeration technique. I. The persistence of drug-susceptible tubercle bacilli in the tissues despite prolonged antimicrobial therapy. J. Exp. Med. 104, 737–762.

PubMed Abstract | Google Scholar

McGillivray, A., Golden, N. A., and Kaushal, D. (2015). The Mycobacterium tuberculosis Clp gene regulator is required for in vitro reactivation from hypoxia-induced dormancy. J. Biol. Chem. 290, 2351–2367. doi: 10.1074/jbc.M114.615534

PubMed Abstract | CrossRef Full Text | Google Scholar

Mehra, S., Golden, N. A., Dutta, N. K., Midkiff, C. C., Alvarez, X., Doyle, L. A., et al. (2011). Reactivation of latent tuberculosis in rhesus macaques by coinfection with simian immunodeficiency virus. J. Med. Primatol. 40, 233–243. doi: 10.1111/j.1600-0684.2011.00485.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Moores, A., Riesco, A. B., Schwenk, S., and Arnvig, K. B. (2017). Expression, maturation and turnover of DrrS, an unusually stable, DosR regulated small RNA in Mycobacterium tuberculosis. PLoS ONE 12:e0174079. doi: 10.1371/journal.pone.0174079

PubMed Abstract | CrossRef Full Text | Google Scholar

O'Garra, A., Redford, P. S., McNab, F. W., Bloom, C. I., Wilkinson, R. J., and Berry, M. P. (2013). The immune response in tuberculosis. Annu. Rev. Immunol. 31, 475–527. doi: 10.1146/annurev-immunol-032712-095939

PubMed Abstract | CrossRef Full Text | Google Scholar

Oliver, J. D. (2005). The viable but nonculturable state in bacteria. J. Microbiol. 43, 93–100.

PubMed Abstract | Google Scholar

Ordway, D. J., Shanley, C. A., Caraway, M. L., Orme, E. A., Bucy, D. S., Hascall-Dove, L., et al. (2010). Evaluation of standard chemotherapy in the guinea pig model of tuberculosis. Antimicrob. Agents Chemother. 54, 1820–1833. doi: 10.1128/aac.01521-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Pawlowski, A., Jansson, M., Sköld, M., Rottenberg, M. E., and Källenius, G. (2012). Tuberculosis and HIV co-infection. PLoS Pathog. 8:e1002464. doi: 10.1371/journal.ppat.1002464

PubMed Abstract | CrossRef Full Text | Google Scholar

Peña, J. C., and Ho, W. Z. (2015). Monkey models of tuberculosis: lessons learned. Infect. Immun. 83, 852–862. doi: 10.1128/iai.02850-14

PubMed Abstract | CrossRef Full Text | Google Scholar

Peña, J. C., and Ho, W. Z. (2016). Non-human primate models of tuberculosis. Microbiol. Spectr. 4. doi: 10.1128/microbiolspec.TBTB2-0007-2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Rachman, H., and Kaufmann, S. H. (2007). Exploring functional genomics for the development of novel intervention strategies against tuberculosis. Int. J. Med. Microbiol. 297, 559–567. doi: 10.1016/j.ijmm.2007.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Radaeva, T. V., Nikonenko, B. V., Mischenko, V. V., Averbakh, M. M., and Apt, A. S. (2005). Direct comparison of low-dose and Cornell-like models of chronic and reactivation tuberculosis in genetically susceptible I/St and resistant B6 mice. Tuberculosis (Edinb) 85, 65–72. doi: 10.1016/j.tube.2004.09.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramos, J. L., Martínez-Bueno, M., Molina-Henares, A. J., Terán, W., Watanabe, K., Zhang, X., et al. (2005). The TetR family of transcriptional repressors. Microbiol. Mol. Biol. Rev. 69, 326–356. doi: 10.1128/MMBR.69.2.326-356.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Rao, S. P., Alonso, S., Rand, L., Dick, T., and Pethe, K. (2008). The protonmotive force is required for maintaining ATP homeostasis and viability of hypoxic, nonreplicating Mycobacterium tuberculosis. Proc. Natl. Acad. Sci. U.S.A. 105, 11945–11950. doi: 10.1073/pnas.0711697105

PubMed Abstract | CrossRef Full Text | Google Scholar

Rustad, T. R., Roberts, D. M., Liao, R. P., and Sherman, D. R. (2009). Isolation of mycobacterial RNA. Methods Mol. Biol. 465, 13–21. doi: 10.1007/978-1-59745-207-6_2

PubMed Abstract | CrossRef Full Text | Google Scholar

Salina, E., Ryabova, O., Kaprelyants, A., and Makarov, V. (2014). New 2-thiopyridines as potential candidates for killing both actively growing and dormant Mycobacterium tuberculosis cells. Antimicrob. Agents Chemother. 58, 55–60. doi: 10.1128/AAC.01308-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Salina, E. G., Waddell, S. J., Hoffmann, N., Rosenkrands, I., Butcher, P. D., and Kaprelyants, A. S. (2014). Potassium availability triggers Mycobacterium tuberculosis transition to, and resuscitation from, non-culturable (dormant) states. Open Biol. 4:140106. doi: 10.1098/rsob.140106

PubMed Abstract | CrossRef Full Text | Google Scholar

Salina, E. G., Zhogina, Y. A., Shleeva, M. O., Sorokoumova, G. M., Selishcheva, A. A., and Kaprelyants, A. S. (2010). Biochemical and morphological changes in dormant (“Nonculturable”) Mycobacterium smegmatis cells. Biochemistry (Mosc) 75, 72–80. doi: 10.1134/S0006297910010098

PubMed Abstract | CrossRef Full Text | Google Scholar

Scanga, C. A., Mohan, V. P., Joseph, H., Yu, K., Chan, J., and Flynn, J. L. (1999). Reactivation of latent tuberculosis: variations on the Cornell murine model. Infect. Immun. 67, 4531–4538.

PubMed Abstract | Google Scholar

Scriba, T. J., Coussens, A. K., and Fletcher, H. A. (2016). Human immunology of tuberculosis. Microbiol. Spectr. 4. doi: 10.1128/microbiolspec.TBTB2-0016-2016

CrossRef Full Text | Google Scholar

Shah, S., and Briken, V. (2016). Modular organization of the ESX-5 secretion system in Mycobacterium tuberculosis. Front. Cell Infect. Microbiol. 6:49. doi: 10.3389/fcimb.2016.00049

PubMed Abstract | CrossRef Full Text | Google Scholar

Shendure, J. (2008). The beginning of the end for microarrays? Nat. Methods 5, 585–587. doi: 10.1038/nmeth0708-585

PubMed Abstract | CrossRef Full Text | Google Scholar

Sherrid, A. M., Rustad, T. R., Cangelosi, G. A., and Sherman, D. R. (2010). Characterization of a Clp protease gene regulator and the reaeration response in Mycobacterium tuberculosis. PLoS ONE 5:e11622. doi: 10.1371/journal.pone.0011622

PubMed Abstract | CrossRef Full Text | Google Scholar

Shleeva, M., Goncharenko, A., Kudykina, Y., Young, D., Young, M., and Kaprelyants, A. (2013). Cyclic AMP-dependent resuscitation of dormant Mycobacteria by exogenous free fatty acids. PLoS ONE 8:e82914. doi: 10.1371/journal.pone.0082914

PubMed Abstract | CrossRef Full Text | Google Scholar

Shleeva, M. O., Kudykina, Y. K., Vostroknutova, G. N., Suzina, N. E., Mulyukin, A. L., and Kaprelyants, A. S. (2011). Dormant ovoid cells of Mycobacterium tuberculosis are formed in response to gradual external acidification. Tuberculosis (Edinb) 91, 146–154. doi: 10.1016/j.tube.2010.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Sikova, M., Janouskova, M., Ramaniuk, O., Palenikova, P., Pospisil, J., Bartl, P., et al. (2019). Ms1 RNA increases the amount of RNA polymerase in Mycobacterium smegmatis. Mol. Microbiol. 111, 354–372. doi: 10.1111/mmi.14159

PubMed Abstract | CrossRef Full Text | Google Scholar

Singh, V., Mani, I., Chaudhary, D. K., and Somvanshi, P. (2011). The β-ketoacyl-ACP synthase from Mycobacterium tuberculosis as potential drug targets. Curr. Med. Chem. 18, 1318–1324. doi: 10.2174/092986711795029636

PubMed Abstract | CrossRef Full Text | Google Scholar

Sturgill-Koszycki, S., Schlesinger, P. H., Chakraborty, P., Haddix, P. L., Collins, H. L., Fok, A. K., et al. (1994). Lack of acidification in Mycobacterium phagosomes produced by exclusion of the vesicular proton-ATPase. Science 263, 678–681.

PubMed Abstract | Google Scholar

Subbian, S., Tsenova, L., O'Brien, P., Yang, G., Kushner, N. L., Parsons, S., et al. (2012). Spontaneous latency in a rabbit model of pulmonary tuberculosis. Am. J. Pathol. 181, 1711–1724. doi: 10.1016/j.ajpath.2012.07.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Takayama, K., Wang, C., and Besra, G. S. (2005). Pathway to synthesis and processing of mycolic acids in Mycobacterium tuberculosis. Clin. Microbiol. Rev. 18, 81–101. doi: 10.1128/cmr.18.1.81-101.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaubourgeix, J., Lin, G., Dhar, N., Chenouard, N., Jiang, X., Botella, H., et al. (2015). Stressed mycobacteria use the chaperone ClpB to sequester irreversibly oxidized proteins asymmetrically within and between cells. Cell Host Microbe. 17, 178–190. doi: 10.1016/j.chom.2014.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Veatch, A. V., and Kaushal, D. (2018). Opening Pandora's box: mechanisms of Mycobacterium tuberculosis resuscitation. Trends Microbiol. 26, 145–157. doi: 10.1016/j.tim.2017.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Wayne, L. G. (1976). Dynamics of submerged growth of Mycobacterium tuberculosis under aerobic and microaerophilic conditions. Am. Rev. Respir. Dis. 114, 807–811. doi: 10.1164/arrd.1976.114.4.807

PubMed Abstract | CrossRef Full Text | Google Scholar

Wayne, L. G., and Hayes, L. G. (1996). An in vitro model for sequential study of shiftdown of Mycobacterium tuberculosis through two stages of nonreplicating persistence. Infect. Immun. 64, 2062–2069.

PubMed Abstract | Google Scholar

World Health Organization (2018). Global Tuberculosis Report 2018. Available online at: http://www.who.int/tb/publications/global_report/en/

PubMed Abstract | Google Scholar

Zhang, Y. (2004). Persistent and dormant tubercle bacilli and latent tuberculosis. Front. Biosci. 9, 1136–1156. doi: 10.2741/1291

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: resuscitation, M. tuberculosis, non-culturability, dormancy, transcriptional burst, small non-coding RNAs

Citation: Salina EG, Grigorov AS, Bychenko OS, Skvortsova YV, Mamedov IZ, Azhikina TL and Kaprelyants AS (2019) Resuscitation of Dormant “Non-culturable” Mycobacterium tuberculosis Is Characterized by Immediate Transcriptional Burst. Front. Cell. Infect. Microbiol. 9:272. doi: 10.3389/fcimb.2019.00272

Received: 02 April 2019; Accepted: 16 July 2019;
Published: 30 July 2019.

Edited by:

Tracy Raivio, University of Alberta, Canada

Reviewed by:

Martin I. Voskuil, University of Colorado Denver, United States
Emily Mallick, Fluid-Screen, United States

Copyright © 2019 Salina, Grigorov, Bychenko, Skvortsova, Mamedov, Azhikina and Kaprelyants. 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: Elena G. Salina, elenasalina@yandex.ru

These authors have contributed equally to this work