Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 23 November 2016
Sec. Antimicrobials, Resistance and Chemotherapy

What Is the Link between Stringent Response, Endoribonuclease Encoding Type II Toxin–Antitoxin Systems and Persistence?

  • 1School of Chemical and Biotechnology, SASTRA University, Thanjavur, India
  • 2Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark

Persistence is a transient and non-inheritable tolerance to antibiotics by a small fraction of a bacterial population. One of the proposed determinants of bacterial persistence is toxin–antitoxin systems (TASs) which are also implicated in a wide range of stress-related phenomena. Maisonneuve E, Castro-Camargo M, Gerdes K. 2013. Cell 154:1140–1150 reported an interesting link between ppGpp mediated stringent response, TAS, and persistence. It is proposed that accumulation of ppGpp enhances the accumulation of inorganic polyphosphate which modulates Lon protease to degrade antitoxins. The decrease in the concentration of antitoxins supposedly activated the toxin to increase in the number of persisters during antibiotic treatment. In this study, we show that inorganic polyphosphate is not required for transcriptional activation of yefM/yoeB TAS, which is an indirect indication of Lon-dependent degradation of YefM antitoxin. The Δ10 strain, an Escherichia coli MG1655 derivative in which the 10 TAS are deleted, is more sensitive to ciprofloxacin compared to wild type MG1655. Furthermore, we show that the Δ10 strain has relatively lower fitness compared to the wild type and hence, we argue that the persistence related implications based on Δ10 strain are void. We conclude that the transcriptional regulation and endoribonuclease activity of YefM/YoeB TAS is independent of ppGpp and inorganic polyphosphate. Therefore, we urge for thorough inspection and debate on the link between chromosomal endoribonuclease TAS and persistence.

Important Information

A model connecting stringent response, endoribonuclease encoding Type II TASs and persistence is widely propagated. It states that “accumulation of ppGpp results in accumulation of inorganic polyphosphate which modulates Lon protease to degrade antitoxin rendering toxins free to induce persistence.” This work presents a contradiction to and challenges the current model. Experimental evidence, literature survey as well as rationale are provided to show that inorganic polyphosphate is not required for the degradation of YefM, the antitoxin in YefM/YoeB TAS. The Δ10 strain is relatively more sensitive to ciprofloxacin and ampicillin as well as has lowered fitness. This is likely because of the polar effects on the adjacent genes caused by the genetic manipulation of multiple TAS loci.

Introduction

Toxin–antitoxin systems (TASs) are operons consisting of two or three adjacent genes which code for a toxin, which has the potential to inhibit one or more cellular processes and an antitoxin. The antitoxin, a protein or RNA, suppresses the lethality of the toxin. Database mining of prokaryotic DNA sequence showed that TAS are abundant in bacterial and archaeal chromosomes often in surprisingly high numbers (Anantharaman and Aravind, 2003; Pandey and Gerdes, 2005; Shao et al., 2011). Based on the antitoxin gene products, either RNA or protein, TAS are divided into six types (Goeders and Van Melderen, 2014; Page and Peti, 2016) of which Type II are the most predominant and well-characterized. Type II TAS encode two proteins referred to as toxin and antitoxin. They are the predominant type encoded by bacterial genomes and plasmids. The toxin has the potential to inactivate vital cellular targets while the antitoxins sequester toxins off the cellular targets by forming a toxin–antitoxin complex (Gerdes et al., 2005; Yamaguchi and Inouye, 2011). Toxin–antitoxin complexes have the autoregulatory function wherein the TA complex binds to the operator present upstream of the TA operon and results in repression (Chan et al., 2015, 2016). The antitoxin is highly unstable and its relative concentration plays a critical role in transcriptional autoregulation as well as regulation of toxin activity (Gerdes et al., 2005; Yamaguchi and Inouye, 2011). The decrease in antitoxin concentration is a prerequisite for transcriptional activation of TAS. The significance of TAS multiplicity on prokaryotic genomes and their physiological role is highly debated (Magnuson, 2007). Many plasmids also encode TAS whose gene products have the ability to inhibit the growth of the cells cured of TA-encoding plasmids and thereby increase the population of plasmid-containing cells (Gerdes et al., 1986).

Chromosomal TAS were first discovered in studies dealing with stringent response and later in persistence. Stringent response, a response elicited in cells under amino acid starvation, is characterized by accumulation of ppGpp alarmone catalyzed by RelA upon stimulation by uncharged tRNA at the ribosomal A site (Lund and Kjeldgaard, 1972; Haseltine and Block, 1973; Cashel et al., 1996; Wendrich et al., 2002). Accumulation of ppGpp modulates RNA polymerase resulting in reduction of rRNA synthesis and thus prevents frivolous anabolism (Barker et al., 2001; Artsimovitch et al., 2004). Several mutants deficient/altered in stringent response were shown to be mutants of relBE (Mosteller and Kwan, 1976; Diderichsen et al., 1977), a TAS encoding an antitoxin (RelB) and a ribosome dependent endoribonuclease toxin (RelE) (Gotfredsen and Gerdes, 1998; Christensen et al., 2001). Persistence, a phenomenon of non-inheritable antibiotic tolerance, is the second instance in which genes belonging to the TA family were recognized. Some mutants, high persister mutants (hip), of Escherichia coli shows higher persister frequency as compared to wild type strain. These hip mutations mapped to the hipA locus (Moyed and Bertrand, 1983) which is now recognized as a genuine TAS encoding HipA toxin and HipB antitoxin (Korch et al., 2003; Germain et al., 2013; Kaspy et al., 2013). A recent study shows an attractive link between TAS, stringent response and persistence; ppGpp, through inorganic polyphosphate (polyP), activates TAS resulting in induction of persistence (Maisonneuve et al., 2011, 2013). The crucial link between ppGpp and TA-mediated persistence is the essentiality of polyP for the degradation of antitoxins. During stringent response, polyP accumulates due to ppGpp-mediated inhibition of exopolyphosphatase (PpX) (Kuroda et al., 1997). The presence or absence of polyP determines the substrate specificity of Lon protease (Kuroda et al., 2001). Maisonneuve et al. (2013) have shown that polyP is essential for Lon-dependent degradation of YefM and RelB antitoxins resulting in increased persistence (Figure 1). YefM is the antitoxin encoded by yefM/yoeB TAS (Grady and Hayes, 2003; Nieto et al., 2007), a well-characterized Type II TAS. YoeB, the toxin, is a ribosome-dependent endoribonuclease (Christensen-Dalsgaard and Gerdes, 2008; Feng et al., 2013) that cleaves mRNA. YefM forms a complex with YoeB resulting in inhibition of endoribonuclease activity of YoeB (Cherny et al., 2005; Kamada and Hanaoka, 2005) and also in mediating transcriptional autorepression (Kedzierska et al., 2007).

FIGURE 1
www.frontiersin.org

FIGURE 1. Model linking stringent response, TAS and persistence (Maisonneuve et al., 2011, 2013). RelA, when activated stochastically or during amino acid starvation, synthesizes the ppGpp. Accumulation of ppGpp inhibits Ppx, thereby inhibiting the degradation of polyP into inorganic phosphate. Hence, due to continual synthesis by Ppk, polyP accumulates in the cell. PolyP then modulates the substrate specificity of Lon protease, specifically targeting antitoxin proteins for degradation. This is hypothesized to render the toxin free to act on its target RNA and confer persistence.

Interestingly, transcriptional activation of relBE (Christensen et al., 2001) and mazEF (Christensen et al., 2003), upon translational inhibition, was observed even in a strain deficient in the production of ppGpp but not in a strain deficient in Lon protease. It was concluded, in the above references, that transcriptional regulation of relBE and mazEF TAS is independent of ppGpp but dependent on Lon protease. Hence, in this study we analyzed the essentiality of polyP in degradation of YefM antitoxin by studying the promoter activity of yefM/yoeB loci and endoribonuclease activity of chromosomally encoded YoeB. The endoribonuclease encoding TAS are horizontally transferring genes and most of them in E. coli are integrated between genes with significance in bacterial stress physiology (Fiedoruk et al., 2015; Ramisetty and Santhosh, 2016). We speculated that deletion of the 10 TAS could alter the physiology of the mutant strain. This study is aimed to evaluate the link between three vital aspects of bacterial stress physiology; endoribonuclease encoding TAS, stringent response, and persistence.

Materials and Methods

Strains, Plasmids, and Growth Conditions

Escherichia coli MG1655, Δ5 (MG1655 derivative with five TAS deletions ΔrelBE ΔmazF ΔdinJyafQ ΔyefM/yoeB ΔchpB) (Christensen et al., 2004), MG1655 ΔyefM/yoeB (SC36) (Christensen et al., 2004), MG1655 ΔrelAΔspoT (Christensen et al., 2001), MG1655 Δppkppx (Kuroda et al., 1997) and Δ10 strains (MG1655 derivative with 10 TAS deletions ΔrelBE, ΔchpB, ΔmazF, ΔdinJ/yafQ, ΔyefM/yoeByafNO, ΔhicAB, ΔhigBA, Δprlf/yhaV, and ΔmqsRA). pBAD33 (Guzman et al., 1995) and pBAD-lon (Christensen et al., 2004) (lon gene cloned downstream of arabinose inducible promoter) were used for overexpression experiments. The cloning of ppk gene downstream of arabinose inducible promoter yielded pBAD-ppk. The cultures in all the experiments were grown in Luria Bertani broth, at 37°C, with 180 rpm shaking in a shaker unless specified otherwise.

Databases

EcoGene 3.0 (Zhou and Rudd, 2013) and RegulonDB (Salgado et al., 2013) were followed for nucleotide sequences, protein sequences, and regulatory information wherever required.

Semi-quantitative Primer Extension

Samples of 25 ml experimental cultures were collected at 0, 10, 30, and 60 min and cells were harvested by centrifugation at 4°C. Total RNA was isolated using hot phenol method and quality was analyzed by agarose gel electrophoresis. p32 labeled primers, YefMPE-2 (5′-GGCTTTCATCATTGTTGCCG-3′) and lpp21 (5′-CTGAACGTCAGAAGACAGCTGATCG-3′), were used in primer extension experiments involving yefM/yoeB promoter activity and YoeB-dependent mRNA cleavage site mapping respectively. Reverse transcription was carried out on 10 μg of total RNA, purified from samples at designated time points, using AMV-reverse transcriptase. Sequencing reactions were carried out similarly by Sanger’s dideoxynucleotide method.

Growth Curve

Twelve hour old overnight cultures were grown to mid log phase in tubes containing LB medium at 37°C. The culture was rediluted 100-fold in LB medium and 2 μL of the diluted cultures were inoculated into 200 μL of LB in microtitre plate wells in triplicates. The microtitre plates were incubated at 37°C with 170 rpm shaking. Optical density at 595 nm was measured in a 96 well microtitre plate reader (BioradTM), every 1 h, for 8 h.

Maximal Colony Forming Units (CFUs/ml) under Optimal Conditions

Overnight cultures were inoculated into tubes containing 3 ml LB broth and grown at 37°C with 170 rpm shaking for 12 h. 10 μL of the culture was diluted appropriately and plated on LB plates and incubated overnight. Colonies were counted and colony forming units (CFUs) per ml were determined. The CFU/ml of MG1655 was taken as 100% for LB medium and culture conditions.

Biofilm Assay

Overnight cultures were diluted 100-fold in fresh LB tubes and normalized to OD600 of approximately 0.05 and used as inoculum. 2 μL of inoculum was added into each well containing 200 μL of LB broth in 96 well microtitre plates. The plates were incubated at 37°C for 16, 24, 48, and 72 h at 37°C. After the specified time points the plates were washed with PBS to remove floating cells (Fletcher, 1977). 125 μL of 1% crystal violet was added to each well and left for 20 min. The plates were washed with water twice and the dye was re-dissolved by adding 90% ethanol. The re-dissolved crystal violet was taken into new wells, to avoid biofilm interference, and readings were taken at 595 nm and readings were represented as the amount of biofilm formation. Experiments were carried out independently thrice in quadruplicates.

Antibiotic Sensitivity Test: Disk Diffusion Method

Conventional disk diffusion method was used to measure relative sensitivity of the strains (Bonev et al., 2008). 100 μL of diluted (100-fold) overnight cultures were spread on LB agar (height – 5 mm) contained in plates with diameter 9.5 cm. Premade antibiotic disks with defined concentrations (purchased from HiMediaTM) were placed on the agar plates after 20 min. ERY, erythromycin (15 μg), GEN, gentamycin (10 μg), TET, tetracycline (30 μg), NA, Nalidixic acid (30 μg), AMP, ampicillin (10 μg), CLM, chloramphenicol (30 μg), VA, vancomycin (10 μg), CIP, ciprofloxacin (5 μg). The plates were incubated overnight at 37°C. Diameters of the zones of inhibition were measured and the graph was plotted.

Culture Spotting Assay

Overnight cultures were diluted to approximately 1.25 OD600. 100-fold serial dilutions were made and 5 μl of each dilution was spotted on to plates containing different concentrations of ciprofloxacin (0, 2, 4 ng/ml). Plates were incubated at 37°C for 24 h.

Minimal Inhibitory Concentration Assay

Minimal inhibitory concentration (MIC) assay was performed using microtitre plate method (Stubbings et al., 2004). Overnight cultures of MG1655 and Δ10 strains were diluted to 0.05 OD600. Appropriate dilutions of ciprofloxacin (ranging from 1 to 10 ng/ml, with increments of 1 ng/ml) were made in LB broth. 200 μl of the ciprofloxacin supplemented media a loaded on to 96 well microtitre plates. Two microlitres of the diluted cultures were inoculated into each of the well. The plates were grown at 37°C in a shaker incubator for 16 h. OD595 of each well was measured with a Biorad Microtitre plate reader. These experiments were done thrice in triplicates.

Persistence Assay

Persistence assay (Maisonneuve et al., 2011) was performed on exponentially growing cells (OD600 of 0.5), at 37°C in LB medium, of MG1655 and Δ10 by exposing to various antibiotics at the specified concentrations (ciprofloxacin 1 μg/ml, ampicillin 100 μg/ml, erythromycin 100 μg/ml, kanamycin 50 μg/ml, and chloramphenicol 100 μg/ml). After 4 h of antibiotic treatment, cells were harvested, serially diluted and plated. After 24 h of incubation, the number of viable cells was counted. Percentage of surviving cells after antibiotic treatment for Δ10 strain is compared with the wild type MG1655 strain. The bars represent averages of three independent experiments done in triplicates. Error bars indicate standard error. AMP, ampicillin (100 μg/ml), CIP, ciprofloxacin (1 μg/ml), CLM, chloramphenicol (100 μg/ml), KAN, kanamycin (50 μg/ml), ERY, erythromycin (100 μg/ml).

Results and Discussion

Inorganic Polyphosphate Is Not Required for Transcriptional Upregulation of yefM/yoeB Loci

The transcriptional upregulation of yefM/yoeB loci, or any typical TAS, is inversely proportional to the relative concentration of YefM. This is because TA proteins regulate their own expression by binding to their own promoter/operator; transcription of TA operon is inversely proportional to the concentration of antitoxin. Hence, any transcriptional activation from yefM/yoeB operon indicates a decrease in YefM concentration (Kedzierska et al., 2007; Bailey and Hayes, 2009). Therefore, quantification of the YefM mRNA is a good indicator of YefM concentration in the cell. To test the essentiality of polyP in Lon-dependent degradation of YefM in vivo, we employed semi-quantitative primer extension (Christensen et al., 2001, 2003) of YefM mRNA. Although widely used, semi-quantitative primer extension based quantification of TAS transcriptional activity is an indirect assay that is indicative of antitoxin degradation. However, this assay has the advantage of a holistic transcriptional regulatory scenario of TAS without employing any genetic manipulations within the TA circuitry, thus avoiding artifacts. To test the role of ppGpp and polyP in the regulation of yefM/yoeB system, we performed amino acid starvation experiments using serine hydroxymate (SHX) and analyzed the transcription of yefM/yoeB loci using semi-quantitative primer extension using a YefM mRNA-specific primer. Exponentially growing E. coli strains MG1655 (wild type), Δlon, ΔppkΔppx, and ΔrelAΔspoT, were treated with 1 mg/ml of SHX to induce serine starvation. ΔppkΔppx and ΔrelAΔspoT strains are deficient in accumulating polyP and ppGpp, respectively (Xiao et al., 1991; Crooke et al., 1994). In the wild type strain, we found a dramatic increase (16-fold) in the transcription of yefM/yoeB loci while in Δlon strain there was no change (Figure 2A). Interestingly and importantly, we found a higher level of transcription of yefM/yoeB loci in ΔrelAΔspoT as well as ΔppkΔppx strains indirectly indicating that ppGpp or polyP is not required for YefM degradation during amino acid starvation. To further investigate the essentiality of polyP we also carried out overexpression of Lon protease in MG1655 and ΔppkΔppx strains to know the role of polyP in the regulation of yefM/yoeB system and found that transcription of yefM/yoeB increased similarly in both MG1655 and ΔppkΔppx strains (Figure 2B). These observations corroborate the earlier findings that the transcriptional regulation of relBE (Christensen et al., 2001) and mazEF systems (Christensen et al., 2003) during SHX-induced starvation is independent of ppGpp but dependent on Lon protease. In fact, RelA dependent accumulation of ppGpp was shown to be inhibited by chloramphenicol treatment (Svitil et al., 1993; Boutte and Crosson, 2011) and yet the relBE and mazEF TAS were shown to be upregulated upon addition of chloramphenicol (Christensen et al., 2001, 2003).

FIGURE 2
www.frontiersin.org

FIGURE 2. (A) Transcriptional activation of yefM/yoeB loci during amino acid starvation. Exponentially growing (0.45 of OD450) cultures of MG1655, Δlon, Δppkppx, and ΔrelAΔspoT were treated with 1 mg/ml of serine hydroxymate. Total RNA was isolated at 0, 10, 30, and 60 min and semi-quantitative primer extension was performed using YefM mRNA-specific primer (YefMPE-2). (B) yefM/yoeB transcriptional activation during overexpression of Lon protease. MG1655 and Δppkppx strains were transformed with pBAD33 vectro or its derivative carrying lon gene. Overnight cultures were diluted and grown to 0.45 OD450 in LB medium supplemented with glycerol as carbon source at 37°C. Lon overexpression was induced by addition of 0.2% arabinose. Samples were collected at indicated time intervals and semi-quantitative primer extension performed as described in Materials and methods. (C) YoeB-dependent cleavage upon overexpression of lon is independent of polyP. MG1655, ΔppkΔppx (Δppkx), ΔyefM/yoeB, and Δ5 strains were transformed with pBAD-lon and pBAD-ppk was transformed into MG1655, Δlon, ΔyefM/yoeB and Δ5. The transformants were grown in LB media supplemented with 2% glycerol to mid-exponential phase (0.45 of OD450). 0.2% arabinose was added to induce expression of lon or ppk. Samples were collected at 0, 10, 30, and 60 min and primer extension was carried out using Lpp mRNA-specific primer (lpp21) for cleavage site mapping. YoeB-dependent cleavage, indicated by an arrow, is in accordance with results from Christensen et al. (2004).

Transcriptional upregulation of yefM/yoeB operon does not necessarily mean that YoeB is free to cleave its target mRNA. To date, chromosomal YoeB-dependent mRNA cleavage has been observed only upon ectopic overproduction of Lon protease (Christensen et al., 2004). The ectopic overexpression of Lon degrades YefM, leaving YoeB free to manifest its endoribonuclease activity. Since, it was reported that Lon-mediated degradation of YefM is dependent on polyP (Maisonneuve et al., 2013), it is interesting to see if polyP is essential to render YoeB free by promoting the degradation of YefM. First, we overexpressed Lon protease in WT, ΔppkΔppx, ΔyefM/yoeB (MG1655 derivate with yefM/yoeB deletion) and Δ5 (MG1655 derivative with 5 TAS deletions ΔrelBE ΔmazF ΔdinJyafQ ΔyefM/yoeB ΔchpB) strains and mapped for cleavage sites in Lpp mRNA by primer extension as reported in earlier studies (Christensen et al., 2004). As per the model proposed by Maisonneuve et al. (2013), one would expect that YoeB dependent cleavage of Lpp upon overexpression of Lon is not observed in a strain deficient in production of polyP (Δppkppx) but should be observed in wild type strain. In contrast, we found cleavage of Lpp mRNA (at the second codon of AAA site) in WT as well as in Δppkppx strains but not in ΔyefM/yoeB and Δ5 strains (Figure 2C). Further, we overexpressed ppk, which increases the intracellular polyP (Keasling et al., 1998; Kornberg et al., 1999), in exponentially growing cultures of wild type, Δlon, ΔyefM/yoeB and Δ5 strains. We could not detect any YoeB-dependent cleavage of Lpp mRNA upon ectopic overexpression of ppk in any of the strains (Figure 2C). This implies that YoeB-specific cleavage is independent of polyP—meaning that activation of YoeB as a consequence of Lon-dependent YefM degradation is independent of polyP. This proves the mere increase in the polyP does not induce YoeB dependent cleavage of target RNA. Hence, our results establish that polyP is not required for the transcriptional activation of yefM/yoeB loci and endoribonuclease activity of YoeB which imply that polyP is not required for Lon-mediated degradation of YefM. Within the scope of the experiments, it can be argued that translation and Lon protease are the only regulators of YefM concentration.

Maisonneuve et al. (2013) observed that wild type had higher persister frequency compared to Δ10 and ΔppkΔppx strains upon relA overexpression. Based on this observation, Maisonneuve et al. (2013) argued that degradation of the other antitoxins in E. coli (ChpS, DinJ, MazE, MqsA, HicB, PrlF, YafN, HigA) was also dependent on polyP (Maisonneuve et al., 2013). This assumption is likely a fallacy because “polyP-dependent TAS regulation model” (Maisonneuve et al., 2013) fails to explain how all the 10 significantly divergent antitoxins of E. coli MG1655 could be the substrates of ‘polyP-modulated Lon’ protease. Firstly, different reports implicate different proteases for the same antitoxin. For example, MazE was thought to be cleaved by ClpAP protease (Aizenman et al., 1996) and was contended that Lon protease, not ClpAP, is responsible for cleavage of MazE (Christensen et al., 2003). Lon was shown to be involved in the regulation of HicB (Jorgensen et al., 2009), YefM (Christensen et al., 2004; Maisonneuve et al., 2011), RelE (Christensen et al., 2001), DinJ (Prysak et al., 2009), MqsR (Christensen-Dalsgaard et al., 2010), YafN (Christensen-Dalsgaard et al., 2010), HigA (Christensen-Dalsgaard et al., 2010), and HicA (Jorgensen et al., 2009). Clp protease was also shown to be involved in the regulation of DinJ (Prysak et al., 2009), MqsR (Christensen-Dalsgaard et al., 2010), YafN (Christensen-Dalsgaard et al., 2010), and HigA (Christensen-Dalsgaard et al., 2010). It is not known if these proteases’ cleavage of antitoxins is conditional or simultaneous. There is no experimental evidence that polyP is required to degrade any of the 10 antitoxins in any of the prior studies. Secondly, the molecular determinants of polyP modulation of Lon substrate specificity are not known. It is to be noted that YefM is degraded even in MC4100 strain (relA1 mutant strain) (Cherny et al., 2005) which is deficient in accumulating ppGpp during amino acid starvation (Metzger et al., 1989). It may also be noted that antitoxins like YafN, HigA, and MqsA (YgiT) were shown to be degraded by both Lon and Clp proteases (Christensen-Dalsgaard et al., 2010). Furthermore, based on studies on “delayed relaxed response” (Christensen and Gerdes, 2004), the half-life of RelB in MC1000 strain is approximately 15 min and RelB101 (A39T mutant of RelB) is less than 5 min. It is interesting to notice that RelB101 is degraded even in a Δlon strain, indicating that some other proteases may also cleave RelB101 (Christensen and Gerdes, 2004). These literature evidences indicate that changes in primary structures of antitoxins could drastically alter their protease susceptibility and specificities. Recently, it was reported that a few TAS could induce persistence even in the absence of ppGpp (Chowdhury et al., 2016). PolyP was shown to inhibit Lon protease in vitro (Osbourne et al., 2014) and is reported to act as a chaperone for unfolded proteins (Kampinga, 2014) which may have significant implications in bacterial stress physiology, however, is not essential for the degradation of YefM. Contrary to earlier reports, polyP is suggested to be a molecular reservoir of energy (Nikel et al., 2013) and probably also phosphate to endure prolonged stress. To our rationale, since endoribonuclease encoding TAS propagate through horizontal gene transfer mechanisms (Ramisetty and Santhosh, 2016), minimal dependence on host genetic elements maybe preferable for TAS regulation. Within the scope of our experiments conducted in this study and based on literature, it is appropriate to state that polyP is not essential for Lon-mediated proteolysis of YefM. It should be noted that YefM-YoeB was used as a model TAS, by Maisonneuve et al. (2013), for single-cell-level assays to show the role of ppGpp and polyP in the regulation of YefM-YoeB TAS and concomitant persistence. Although, we do not have a ready explanation for this fundamental contradiction, we do not rule out His-tag interference in the proteolysis assays performed by Maisonneuve et al. (2013).

Persistence of MG1655 and Δ10 Strains to Ampicillin, Ciprofloxacin, Erythromycin, Chloramphenicol, and Kanamycin

The induction of persistence (Korch and Hill, 2006; Butt et al., 2014) by over expression of toxins was challenged and shown that even proteins unrelated to toxins, during controlled over expression, induced persistence (Vazquez-Laslop et al., 2006). Maisonneuve et al. (2011) reported that Δ10 strain (E. coli MG1655 derivative in which 10 endoribunuclease TAS were deleted) had lesser persister frequency compared to wild type strain when challenged with ciprofloxacin and ampicillin. Since there were no reports (during the time these experiments were carried out) on the TAS mediated persistence during treatment with other antibiotics, we performed similar experiments to determine persistence to treatment of logarithmically growing cultures of MG1655 and Δ10 strains to ciprofloxacin (1 μg/ml), ampicillin (100 μg/ml), erythromycin (100 μg/ml), kanamycin (50 μg/ml), and chloramphenicol (100 μg/ml). We found that with ampicillin and ciprofloxacin, Δ10 strain had significantly lesser persister frequency compared to the wild type MG1655 (≈65-fold) (Figure 3A). However, we could not find significant difference in the number of persisters formed by Δ10 and MG1655 with chloramphenicol, erythromycin, and kanamycin. If toxin induced dormancy or metabolic regression results in bacterial persistence, similar persistence should be observed with other antibiotics (inhibitors of translation) especially because all the toxins in the study are translational inhibitors. Several inhibitors of translation were shown to activate TAS (Christensen et al., 2001) and hence, in principle, confer more persistence. At least with kanamycin, since it is a bactericidal antibiotic, we expected persistence conferred by TAS. However, wild type and Δ10 strains formed equal number of persisters upon treatment with kanamycin. Similar observation (Shan et al., 2015) with gentamycin, another aminoglycoside antibiotic, wherein significant persistence was not observed (Wood, 2016) corroborates our findings.

FIGURE 3
www.frontiersin.org

FIGURE 3. (A) Persister cell assay with different antibiotics with mid-log phase culture. Exponentially, growing cells of MG1655 and Δ10 were exposed to various antibiotics. After 4 h of antibiotic treatment, cells were harvested, serially diluted and plated. After 24 h of incubation number of viable cells was counted. Percentage of survival after antibiotic treatment for Δ10 strain (gray bars) is compared with the wild type MG1655 strain (solid bars). The bars represent averages of three independent experiments done in triplicates. Error bars indicate standard error. AMP, Ampicillin (100 μg/ml), CIP, Ciprofloxacin (1 μg/ml), CLM, Chloramphenicol (100 μg/ml), KAN, Kanamycin (50 μg/ml), ERY, Erythromycin (100 μg/ml). (Two tailed ∗∗P < 0.001). (B) Zone of inhibition of MG1655 and Δ10 strains by Ciprofloxacin. Overnight cultures were spread-plated on LB agar plates and antibiotic disks were placed on LA plates and incubated at 37°C for 24 h. Representative zones of inhibition obtained for ciprofloxacin in MG1655 (left) and Δ10 (right) strains. (C) Average diameters of the zones of inhibition, in MG1655 (black bars) and Δ10 (gray bars), around each disk loaded with premade antibiotic disks. Shown is the average of three independent experiments done in triplicates and error bars indicate Standard Deviation (SD). (∗∗P < 0.001, P < 0.01). (D) Sensitivity of Δ10 strain relative to MG1655 strain. Overnight cultures were diluted to approximately 1.25 OD600. 100-fold serial dilutions were made and 5 μl of each dilution was spotted on to plates containing LA (on the left) or LA+2 ng/ml ciprofloxacin (on the right). Plates were incubated at 37°C for 24 h.

Relative Hypersensitivity of MG1655 and Δ10 Strains to Ciprofloxacin and Ampicillin

In light of our observations, we were curious about the degree of sensitivity to various antibiotics. We determined the sensitivity of the MG1655 and Δ10 strains to various antibiotics by disk diffusion method, as it is highly sensitive and quantifiable. We observed that zone of inhibition of MG1655 with ciprofloxacin (10 μg) was 3.6 cm (averages) while that of Δ10 strain was 3 cm (Figure 3B). With ampicillin (10 μg), the zones of inhibition for MG1655 and Δ10 strain were 2.45 and 2.1 cm, respectively. With nalidixic acid, the zones of inhibition for MG1655 and Δ10 strain were 1.98 and 1.78 cm, respectively. We did not find any significant difference with the other antibiotics at the concentrations used (Figures 3B,C). We also spotted cultures (Figure 3D) of MG1655 and Δ10 strains on Luria-Bertani Agar plates without and with ciprofloxacin (2, 4, or 6 ng/ml). There was no growth of either of strains on plates supplemented with 4 and 6 ng/ml of ciprofloxacin. However, we noted that while MG1655 strain formed colonies in least dilutions spotted, Δ10 strain failed to form colonies in 24 h of growth. We also performed liquid broth based MIC assay in microtitre plates. We could not find significant difference using twofold dilution method. Hence, we performed MIC of ciprofloxacin with increments of 1 ng/ml within a range of 1–10 ng/ml. We found that MG1655 had a MIC of 6 ± 0.15 ng/ml. Δ10 strain had significantly reduced growth at a concentration of 3 ng/ml and completely inhibited at 4 ± 0.005 ng/ml. This indicates that Δ10 strain is more sensitive to ciprofloxacin and ampicillin relative to MG1655. Our observation could also mean that TAS confers a certain degree of ‘resistance’ to antibiotics like ciprofloxacin and ampicillin. However, so far there are no reports that TAS confer antibiotic resistance. In light of current understanding of the role of TAS in persistence (Maisonneuve et al., 2011, 2013), this is an important observation. We noticed a difference in sensitivities of these strains to ciprofloxacin and ampicillin but not to transcription and translation inhibitors.

In fact, it was reported that the Δ10 strain has lower MIC for ciprofloxacin (5.0 ± 0.35 ng/ml) compared to wild type (ciprofloxacin 5.3 ± 0.45 ng/ml). Similarly, MIC of ampicillin for Δ10 strains was reported as 3.2 ± 0.27 μg/ml relative to MG1655 3.4 ± 0.42 μg/ml (Maisonneuve et al., 2011). Our results contradict the above reported observations made by Maisonneuve et al. (2011). At least with ciprofloxacin, through multiple assays, we show that Δ10 strain is significantly more sensitive than MG1655 strain. In our view, it is irrational to infer persistence of two strains with marked difference in antibiotic sensitivities (Brauner et al., 2016). Conclusions drawn from strains with different MICs could be misleading. Although it is difficult to explain this observed sensitivity at this point of time, we do not rule out the possibility of artifacts due to genetic manipulations during the construction of Δ10 strain.

Deletions of 10 TAS, as in Δ10 Strain, Causes Loss of Fitness

Recently we have shown that TAS are horizontally transferring genes and are integrated within the intergenic regions between important ‘core’ genomic regions (Ramisetty and Santhosh, 2016). Maisonneuve et al. (2011) reported that Δ10 strain formed lesser persisters compared to wild type strain when challenged with ciprofloxacin and Ampicillin. Hence, we speculated that deletion of 10 TAS could compromise the expression of flanking genes due to polar effects resulting in decreased fitness of the Δ10 strain. We analyzed the differences in between E. coli MG1655 and Δ10 strains (Maisonneuve et al., 2011) fitness by growth curve, maximal CFU per ml in stationary phase and biofilm formation. We observed that the maximum growth rate (change in OD/hour) of MG1655 was 0.35 while that of Δ10 strain was 0.27 (Figure 4A). During the 8 h growth curve study in 96 well microtitre plates, the maximum absorbance at 595 nm was 1.05 for MG1655 while it was 0.95 for Δ10 strain (Figure 4A). We also noticed that the optical density of the overnight cultures of Δ10 strain grown in tubes was consistently lower than that of MG1655. These observations indicated that the Δ10 strain may have metabolic deficiencies. To confirm this further we determined the CFU/ml of both the strains after 12 h of growth in tube containing LB medium at 37°C with 170 rpm. We observed that MG1655 yielded 7.99 × 1012 CFU/ml while the Δ10 strain yielded 4.92 × 1012 CFU/ml which is ≈40% lesser than the CFU/ml of wild type (Figure 4B). In a given set of conditions, the difference in the CFU/ml of two strains of a species is an indication of difference in their respective fitness.

FIGURE 4
www.frontiersin.org

FIGURE 4. (A) Growth curve of MG1655 and Δ10 strains. 2 μL of the diluted cultures were inoculated into 200 μL of LB in microtitre plate wells in triplicates. The microtitre plates were incubated at 37°C with 170 rpm shaking. Optical density at 595 nm was measured in a microtitre plate reader (BioradTM). The closed triangles and closed squares represent the OD of MG1655 and the Δ10 strains respectively. The open triangles and open squares represent the growth rates (change in OD per hour) of MG1655 and the Δ10 strain respectively. (B) Percent CFU in optimal conditions in 12 h. Overnight cultures were incoculated into tubes containing 3 ml LB broth and grown at 37°C with 170 rpm shaking for 12 h. 10 μL of the culture was diluted appropriately and plated on LB plates and incubated overnight. (C) Biofilm assay for prolonged duration. 2 μL of inoculum was added into 200 μL of LB broth in 96-well microtitre plate. The plates were incubated at 37°C for 16, 24, 48, and 72 h. The plates were washed and stained with 1% crystal violet. Then washed thrice and the bound crystal violet was redissolved using ethanol and OD was measured at 595 nm. Experiments were carried out independently thrice in quadruplicates. Error bars indicate standard error. (Two tailed ∗∗P < 0.001, P < 0.01).

We then performed biofilm assay for a prolonged period to determine any differences between these strains in their ability to form biofilms. We found that MG1655 formed consistently more biofilm, represented as absorbance of redissolved crystal violet, compared to the Δ10 strain at all the time intervals analyzed (16, 24, 48, and 72 h). At 16 h, Δ10 strain formed 66% lesser biofilm compared to MG1655 strain. Upon prolonged incubation, after 72 h, Δ10 strain formed 35% lesser biofilm relative to wild type (Figure 4C). These observations reinforce the notion that the Δ10 strain is not as healthy as the wild type. In this case, Δ10 strain has significantly lower fitness compared to the wild type likely due to the effects of deletions. The loss of fitness could be attributed to two aspects; (i) to the loss of TAS function and (ii) the polar effects on the adjacent genes due to deletion of TAS. One could argue that TAS are responsible for higher growth rate, higher CFU/ml in 12 h as well as higher biofilm formation. However, a qualified counter argument is that the polar effects due to deletion of the 10 TAS, and not necessarily the loss of TAS function, might have caused the metabolic deficiency. This is due to inadvertent interference with coding and/or regulatory sequences of the bordering regions. In our view, it is most likely that the expression of the bordering genes is compromised resulting in decreased fitness of Δ10 strain. It should be noted that TAS are horizontally transferring genes (Ramisetty and Santhosh, 2016) and are integrated within the bacterial core genome adjacent, and/or in close proximity, to important genes. As summarized in the Table 1, most of the genes that are immediately downstream of TA genes have important functions in bacterial physiology as enzymes (yafP, fadH) or transcriptional factors (ydcR, agaR) or in nucleotide metabolism (mazG, yeeZ, ppa) or in membrane metabolism (yafK, hokD, ygiS) (Table 1). It must be noted that the minimal composition of a horizontally transferring TAS consists of a promoter/operator and TA ORFs but is not composed of a terminator (Ramisetty and Santhosh, 2016). Hence, the downstream gene is cotranscribed with the TA genes because there is no promoter or terminator in the intergenic region between TA operon and the downstream gene, e.g., relBEF (Gotfredsen and Gerdes, 1998) and mazEFG (Gross et al., 2006) (Table 1). The spacers between the adjacent genes range from 9 to 218 bp, which is inclusive of the operator/promoter regions if any. Hence, the TA genes are highly linked to the downstream genes physically as well as transcriptionally. It is highly plausible that the artificial deletion of TA genes could cause polar effect on the expression of one or more of these bordering genes which is likely to result in loss of fitness (summarized in Figure 5). Therefore, confirmation that there are no polar effects on the expression and/or the reading frames of the adjacent genes due to deletion of TA genes is essential. Attribution of the observed phenotypes solely to TAS may result in faulty interpretations and mislead the research community.

TABLE 1
www.frontiersin.org

TABLE 1. Details for the genetic organization, spacing, and deletion status of each TAS in Δ10 strain.

FIGURE 5
www.frontiersin.org

FIGURE 5. Possible polar effects on downstream gene expression due to manipulation of TAS operon. (A) TAS operons are negatively autoregulated operons which do not encode a terminator. In the wild type, the downstream gene is cotranscribed with TA genes and its expression is considered optimal. (B) If TAS along with promoter are deleted, there is no expression of the downstream gene due to lack of a promoter. (C) If the toxin also is deleted, there could be over expression of the downstream gene due to missing corepressor, the toxin. (D) If the toxin and antitoxin are deleted but not the promoter, there could be high overexpression of the downstream gene due to lack of repression. (E) If a mutation is induced in the toxin gene such that its product is not toxic but can act as a corepressor (Overgaard et al., 2008), the expression of the downstream gene is likely to be identical to that of the wild type, an ideal case to study the function of TAS.

In the past reverse genetic studies on TAS, several deletion strains have compromised the general bacterial physiology (Gross et al., 2006; Tsilibaris et al., 2007) resulting in misleading interpretations. Construction of MC4100ΔmazEF (Aizenman et al., 1996; Tsilibaris et al., 2007; Ramisetty et al., 2016) and Δ5 strain (Tsilibaris et al., 2007) strains have resulted in inadvertent interference in the coding regions of bordering genes. In a Tn-seq based genetic screen to find the molecular determinants of persisters during treatment with gentamycin, no TAS has been found. Furthermore, in spite of having several Tn inserts in lon gene, lon mutations did not affect the persister formation frequency (Shan et al., 2015).

Toxins can induce metabolic stasis and hence we do think that TAS have the potential to induce persistence. However, more systemic studies should be carried out to definitively prove the function of TAS in persistence. As of now, with the current knowledge, we contend that chromosomal endoribonuclease encoding TAS, under their canonical autoregulatory mechanisms, may not be directly involved in persistence. We disregard ectopic overexpression of toxins’ role in persistence because it is not necessarily specific as controlled over expression of non-toxin proteins can also induce such persistence (Vazquez-Laslop et al., 2006). Similarly, we disregard the implications derived by using deletion strains such as Δ10 strain with lower fitness.

Conclusion

This study contends the model that links stringent response, TAS and persistence is debatable (Maisonneuve et al., 2013; Maisonneuve and Gerdes, 2014). PolyP dependent Lon mediated degradation of RelB and YefM was the key link between stringent response, TAS and persistence. In this report it was shown, indirectly using semi-quantitative primer extension, that polyP is not required for degradation of YefM and is an unlikely requirement for degradation of other antitoxins as well. The results presented in this report and the exhaustive literature survey conclusively refute the essentiality of ppGpp and polyP in the regulation of yefM/yoeB and likely other similarly working TAS. There is no evidence to claim that “Polyphosphate activated Lon to degrade all known type II antitoxins of E. coli” (Germain et al., 2015). Δ10 strain is relatively hypersensitive to ciprofloxacin and ampicillin which is probably the cause for decreased persister formation upon treatment with ciprofloxacin and ampicillin. Δ10 strain has lower metabolic fitness compared to wild type which also strengthens this notion. Hence, the role of endoribonuclease encoding chromosomal TAS in persistence is inconclusive. Hence, we refute the model presented by Maisonneuve et al. (2013). Extreme caution and evaluation should be exercised during deletion of horizontally transferring genes like TAS and evaluated for the polar effects on the downstream genes.

Author Contributions

All primer extension experiments were designed, performed, and analyzed by BCMR at Department of Biochemistry and Molecular Biology, University of Southern Denmark. BCMR and RS designed the rest of the work, analyzed the data and wrote the paper; BCMR, DG, and MRC performed the remaining research at SASTRA University, Thanjavur, India.

Funding

All primer extension assays were carried out at University of Southern Denmark, Odense, Denmark by BCMR. The remaining work was supported by Prof. T. R. Rajagopalan grants and Central Research Facility sanctioned by SASTRA University, Thanjavur, India.

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.

Acknowledgments

We thank Prof. Kenn Gerdes for the gracious donation of the E. coli strains and plasmids used in this study. We thank the reviewers of this manuscript for encouragement and critical suggestions on some of the experiments.

References

Aizenman, E., Engelberg-Kulka, H., and Glaser, G. (1996). An Escherichia coli chromosomal “addiction module” regulated by guanosine [corrected] 3′,5′-bispyrophosphate: a model for programmed bacterial cell death. Proc. Natl. Acad. Sci. U.S.A. 93, 6059–6063.

Google Scholar

Anantharaman, V., and Aravind, L. (2003). New connections in the prokaryotic toxin-antitoxin network: relationship with the eukaryotic nonsense-mediated RNA decay system. Genome Biol. 4: R81. doi: 10.1186/gb-2003-4-12-r81

PubMed Abstract | CrossRef Full Text | Google Scholar

Artsimovitch, I., Patlan, V., Sekine, S., Vassylyeva, M. N., Hosaka, T., Ochi, K., et al. (2004). Structural basis for transcription regulation by alarmone ppGpp. Cell 117, 299–310. doi: 10.1016/S0092-8674(04)00401-5

CrossRef Full Text | Google Scholar

Bailey, S. E., and Hayes, F. (2009). Influence of operator site geometry on transcriptional control by the YefM-YoeB toxin-antitoxin complex. J. Bacteriol. 191, 762–772. doi: 10.1128/JB.01331-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Barker, M. M., Gaal, T., Josaitis, C. A., and Gourse, R. L. (2001). Mechanism of regulation of transcription initiation by ppGpp. I. Effects of ppGpp on transcription initiation in vivo and in vitro. J. Mol. Biol. 305, 673–688. doi: 10.1006/jmbi.2000.4327

PubMed Abstract | CrossRef Full Text | Google Scholar

Bonev, B., Hooper, J., and Parisot, J. (2008). Principles of assessing bacterial susceptibility to antibiotics using the agar diffusion method. J. Antimicrob. Chemother. 61, 1295–1301. doi: 10.1093/jac/dkn090

PubMed Abstract | CrossRef Full Text | Google Scholar

Boutte, C. C., and Crosson, S. (2011). The complex logic of stringent response regulation in Caulobacter crescentus: starvation signalling in an oligotrophic environment. Mol. Microbiol. 80, 695–714. doi: 10.1111/j.1365-2958.2011.07602.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Brauner, A., Fridman, O., Gefen, O., and Balaban, N. Q. (2016). Distinguishing between resistance, tolerance and persistence to antibiotic treatment. Nat. Rev. Micro. 14, 320–330. doi: 10.1038/nrmicro.2016.34

PubMed Abstract | CrossRef Full Text | Google Scholar

Butt, A., Higman, V. A., Williams, C., Crump, M. P., Hemsley, C. M., Harmer, N., et al. (2014). The HicA toxin from Burkholderia pseudomallei has a role in persister cell formation. Biochem. J. 459, 333–344. doi: 10.1042/BJ20140073

PubMed Abstract | CrossRef Full Text | Google Scholar

Cashel, M., Gentry, D. R., Hernandez, V. J., and Vinella, D. (1996). The Stringent Response. Washington, DC: American Society for Microbiology Press.

Google Scholar

Chan, W. T., Balsa, D., and Espinosa, M. (2015). One cannot rule them all: are bacterial toxins-antitoxins druggable? FEMS Microbiol. Rev. 39, 522–540. doi: 10.1093/femsre/fuv002

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, W. T., Espinosa, M., and Yeo, C. C. (2016). Keeping the wolves at bay: antitoxins of prokaryotic type II toxin-antitoxin systems. Front. Mol. Biosci. 3:9. doi: 10.3389/fmolb.2016.00009

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J., Brevet, A., Fromant, M., Leveque, F., Schmitter, J. M., Blanquet, S., et al. (1990). Pyrophosphatase is essential for growth of Escherichia coli. J. Bacteriol. 172, 5686–5689. doi: 10.1128/jb.172.10.5686-5689.1990

PubMed Abstract | CrossRef Full Text | Google Scholar

Cherny, I., Rockah, L., and Gazit, E. (2005). The YoeB toxin is a folded protein that forms a physical complex with the unfolded YefM antitoxin. Implications for a structural-based differential stability of toxin-antitoxin systems. J. Biol. Chem. 280, 30063–30072. doi: 10.1074/jbc.M506220200

PubMed Abstract | CrossRef Full Text | Google Scholar

Chowdhury, N., Kwan, B. W., and Wood, T. K. (2016). Persistence increases in the absence of the alarmone guanosine tetraphosphate by reducing cell growth. Sci. Rep. 6:20519. doi: 10.1038/srep20519

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen, S. K., and Gerdes, K. (2004). Delayed-relaxed response explained by hyperactivation of RelE. Mol. Microbiol. 53, 587–597. doi: 10.1111/j.1365-2958.2004.04127.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen, S. K., Maenhaut-Michel, G., Mine, N., Gottesman, S., Gerdes, K., and Van Melderen, L. (2004). Overproduction of the Lon protease triggers inhibition of translation in Escherichia coli: involvement of the yefM-yoeB toxin-antitoxin system. Mol. Microbiol. 51, 1705–1717. doi: 10.1046/j.1365-2958.2003.03941.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen, S. K., Mikkelsen, M., Pedersen, K., and Gerdes, K. (2001). RelE, a global inhibitor of translation, is activated during nutritional stress. Proc. Natl. Acad. Sci. U.S.A. 98, 14328–14333. doi: 10.1073/pnas.251327898

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen, S. K., Pedersen, K., Hansen, F. G., and Gerdes, K. (2003). Toxin-antitoxin loci as stress-response-elements: ChpAK/MazF and ChpBK cleave translated RNAs and are counteracted by tmRNA. J. Mol. Biol. 332, 809–819. doi: 10.1016/S0022-2836(03)00922-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen-Dalsgaard, M., and Gerdes, K. (2008). Translation affects YoeB and MazF messenger RNA interferase activities by different mechanisms. Nucleic Acids Res. 36, 6472–6481. doi: 10.1093/nar/gkn667

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen-Dalsgaard, M., Jorgensen, M. G., and Gerdes, K. (2010). Three new RelE-homologous mRNA interferases of Escherichia coli differentially induced by environmental stresses. Mol. Microbiol. 75, 333–348. doi: 10.1111/j.1365-2958.2009.06969.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Crooke, E., Akiyama, M., Rao, N. N., and Kornberg, A. (1994). Genetically altered levels of inorganic polyphosphate in Escherichia coli. J. Biol. Chem. 269, 6290–6295.

PubMed Abstract | Google Scholar

Diderichsen, B., Fiil, N. P., and Lavalle, R. (1977). Genetics of the relB locus in Escherichia coli. J. Bacteriol. 131, 30–33.

PubMed Abstract | Google Scholar

Feng, S., Chen, Y., Kamada, K., Wang, H., Tang, K., Wang, M., et al. (2013). YoeB-ribosome structure: a canonical RNase that requires the ribosome for its specific activity. Nucleic Acids Res. 41, 9549–9556. doi: 10.1093/nar/gkt742

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiedoruk, K., Daniluk, T., Swiecicka, I., Sciepuk, M., and Leszczynska, K. (2015). Type II toxin-antitoxin systems are unevenly distributed among Escherichia coli phylogroups. Microbiology 161, 158–167. doi: 10.1099/mic.0.082883-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Fletcher, M. (1977). The effects of culture concentration and age, time, and temperature on bacterial attachment to polystyrene. Can. J. Microbiol. 23, 1–6. doi: 10.1139/m77-001

CrossRef Full Text | Google Scholar

Gerdes, K., Christensen, S. K., and Lobner-Olesen, A. (2005). Prokaryotic toxin-antitoxin stress response loci. Nat. Rev. Microbiol. 3, 371–382. doi: 10.1038/nrmicro1147

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerdes, K., Rasmussen, P. B., and Molin, S. (1986). Unique type of plasmid maintenance function: postsegregational killing of plasmid-free cells. Proc. Natl. Acad. Sci. U.S.A. 83, 3116–3120. doi: 10.1073/pnas.83.10.3116

PubMed Abstract | CrossRef Full Text | Google Scholar

Germain, E., Castro-Roa, D., Zenkin, N., and Gerdes, K. (2013). Molecular mechanism of bacterial persistence by HipA. Mol. Cell 52, 248–254. doi: 10.1016/j.molcel.2013.08.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Germain, E., Roghanian, M., Gerdes, K., and Maisonneuve, E. (2015). Stochastic induction of persister cells by HipA through (p)ppGpp-mediated activation of mRNA endonucleases. Proc. Natl. Acad. Sci. U.S.A. 112, 5171–5176. doi: 10.1073/pnas.1423536112

PubMed Abstract | CrossRef Full Text | Google Scholar

Goeders, N., and Van Melderen, L. (2014). Toxin-antitoxin systems as multilevel interaction systems. Toxins (Basel) 6, 304–324. doi: 10.3390/toxins6010304

PubMed Abstract | CrossRef Full Text | Google Scholar

Gotfredsen, M., and Gerdes, K. (1998). The Escherichia coli relBE genes belong to a new toxin-antitoxin gene family. Mol. Microbiol. 29, 1065–1076. doi: 10.1046/j.1365-2958.1998.00993.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Grady, R., and Hayes, F. (2003). Axe-Txe, a broad-spectrum proteic toxin-antitoxin system specified by a multidrug-resistant, clinical isolate of Enterococcus faecium. Mol. Microbiol. 47, 1419–1432. doi: 10.1046/j.1365-2958.2003.03387.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gross, M., Marianovsky, I., and Glaser, G. (2006). MazG – a regulator of programmed cell death in Escherichia coli. Mol. Microbiol. 59, 590–601. doi: 10.1111/j.1365-2958.2005.04956.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutierrez, A., Elez, M., Clermont, O., Denamur, E., and Matic, I. (2011). Escherichia coli YafP protein modulates DNA damaging property of the nitroaromatic compounds. Nucleic Acids Res. 39, 4192–4201. doi: 10.1093/nar/gkr050

PubMed Abstract | CrossRef Full Text | Google Scholar

Guzman, L. M., Belin, D., Carson, M. J., and Beckwith, J. (1995). Tight regulation, modulation, and high-level expression by vectors containing the arabinose pBAD promoter. J. Bacteriol. 177, 4121–4130. doi: 10.1128/jb.177.14.4121-4130.1995

PubMed Abstract | CrossRef Full Text | Google Scholar

Haseltine, W. A., and Block, R. (1973). Synthesis of guanosine tetra- and pentaphosphate requires the presence of a codon-specific, uncharged transfer ribonucleic acid in the acceptor site of ribosomes. Proc. Natl. Acad. Sci. U.S.A. 70, 1564–1568. doi: 10.1073/pnas.70.5.1564

PubMed Abstract | CrossRef Full Text | Google Scholar

He, X. Y., Yang, S. Y., and Schulz, H. (1997). Cloning and expression of the fadH gene and characterization of the gene product 2,4-dienoyl coenzyme A reductase from Escherichia coli. Eur. J. Biochem. 248, 516–520. doi: 10.1111/j.1432-1033.1997.00516.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hong, S. H., Wang, X., and Wood, T. K. (2010). Controlling biofilm formation, prophage excision and cell death by rewiring global regulator H-NS of Escherichia coli. Microb. Biotechnol. 3, 344–356. doi: 10.1111/j.1751-7915.2010.00164.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Jorgensen, M. G., Pandey, D. P., Jaskolska, M., and Gerdes, K. (2009). HicA of Escherichia coli defines a novel family of translation-independent mRNA interferases in bacteria and archaea. J. Bacteriol. 191, 1191–1199. doi: 10.1128/JB.01013-08

PubMed Abstract | CrossRef Full Text | Google Scholar

Kamada, K., and Hanaoka, F. (2005). Conformational change in the catalytic site of the ribonuclease YoeB toxin by YefM antitoxin. Mol. Cell 19, 497–509. doi: 10.1016/j.molcel.2005.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Kampinga, H. H. (2014). Chaperoned by prebiotic inorganic polyphosphate molecules: an ancient transcription-independent mechanism to restore protein homeostasis. Mol. Cell 53, 685–687. doi: 10.1016/j.molcel.2014.02.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaspy, I., Rotem, E., Weiss, N., Ronin, I., Balaban, N. Q., and Glaser, G. (2013). HipA-mediated antibiotic persistence via phosphorylation of the glutamyl-tRNA-synthetase. Nat. Commun. 4:3001. doi: 10.1038/ncomms4001

PubMed Abstract | CrossRef Full Text | Google Scholar

Keasling, J. D., Van Dien, S. J., and Pramanik, J. (1998). Engineering polyphosphate metabolism in Escherichia coli: implications for bioremediation of inorganic contaminants. Biotechnol. Bioeng. 58, 231–239. doi: 10.1002/(SICI)1097-0290(19980420)58:2/3<231::AID-BIT16>3.0.CO;2-F

PubMed Abstract | CrossRef Full Text | Google Scholar

Kedzierska, B., Lian, L. Y., and Hayes, F. (2007). Toxin-antitoxin regulation: bimodal interaction of YefM-YoeB with paired DNA palindromes exerts transcriptional autorepression. Nucleic Acids Res. 35, 325–339. doi: 10.1093/nar/gkl1028

PubMed Abstract | CrossRef Full Text | Google Scholar

Korch, S. B., Henderson, T. A., and Hill, T. M. (2003). Characterization of the hipA7 allele of Escherichia coli and evidence that high persistence is governed by (p)ppGpp synthesis. Mol. Microbiol. 50, 1199–1213. doi: 10.1046/j.1365-2958.2003.03779.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Korch, S. B., and Hill, T. M. (2006). Ectopic overexpression of wild-type and mutant hipA genes in Escherichia coli: effects on macromolecular synthesis and persister formation. J. Bacteriol. 188, 3826–3836. doi: 10.1128/JB.01740-05

PubMed Abstract | CrossRef Full Text | Google Scholar

Kornberg, A., Rao, N. N., and Ault-Riche, D. (1999). Inorganic polyphosphate: a molecule of many functions. Annu. Rev. Biochem. 68, 89–125. doi: 10.1146/annurev.biochem.68.1.89

CrossRef Full Text | Google Scholar

Kuroda, A., Murphy, H., Cashel, M., and Kornberg, A. (1997). Guanosine tetra- and pentaphosphate promote accumulation of inorganic polyphosphate in Escherichia coli. J. Biol. Chem. 272, 21240–21243. doi: 10.1074/jbc.272.34.21240

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuroda, A., Nomura, K., Ohtomo, R., Kato, J., Ikeda, T., Takiguchi, N., et al. (2001). Role of inorganic polyphosphate in promoting ribosomal protein degradation by the Lon protease in E. coli. Science 293, 705–708. doi: 10.1126/science.1061315

PubMed Abstract | CrossRef Full Text | Google Scholar

Kwan, B. W., Lord, D. M., Peti, W., Page, R., Benedik, M. J., and Wood, T. K. (2014). The MqsR/MqsA toxin/antitoxin system protects Escherichia coli during bile acid stress. Environ. Microbiol. 17, 3168–3181. doi: 10.1111/1462-2920.12749

PubMed Abstract | CrossRef Full Text | Google Scholar

Lund, E., and Kjeldgaard, N. O. (1972). Metabolism of guanosine tetraphosphate in Escherichia coli. Eur. J. Biochem. 28, 316–326. doi: 10.1111/j.1432-1033.1972.tb01916.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lynch, S. V., Dixon, L., Benoit, M. R., Brodie, E. L., Keyhan, M., Hu, P., et al. (2007). Role of the rapA gene in controlling antibiotic resistance of Escherichia coli biofilms. Antimicrob. Agents Chemother. 51, 3650–3658. doi: 10.1128/AAC.00601-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Magnuson, R. D. (2007). Hypothetical functions of toxin-antitoxin systems. J. Bacteriol. 189, 6089–6092. doi: 10.1128/JB.00958-07

PubMed Abstract | CrossRef Full Text | Google Scholar

Maisonneuve, E., Castro-Camargo, M., and Gerdes, K. (2013). (p)ppGpp controls bacterial persistence by stochastic induction of toxin-antitoxin activity. Cell 154, 1140–1150. doi: 10.1016/j.cell.2013.07.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Maisonneuve, E., and Gerdes, K. (2014). Molecular mechanisms underlying bacterial persisters. Cell 157, 539–548. doi: 10.1016/j.cell.2014.02.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Maisonneuve, E., Shakespeare, L. J., Jorgensen, M. G., and Gerdes, K. (2011). Bacterial persistence by RNA endonucleases. Proc. Natl. Acad. Sci. U.S.A. 108, 13206–13211. doi: 10.1073/pnas.1100186108

PubMed Abstract | CrossRef Full Text | Google Scholar

McKenzie, G. J., Magner, D. B., Lee, P. L., and Rosenberg, S. M. (2003). The dinB operon and spontaneous mutation in Escherichia coli. J. Bacteriol. 185, 3972–3977. doi: 10.1128/JB.185.13.3972-3977.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Metzger, S., Schreiber, G., Aizenman, E., Cashel, M., and Glaser, G. (1989). Characterization of the relA1 mutation and a comparison of relA1 with new relA null alleles in Escherichia coli. J. Biol. Chem. 264, 21146–21152.

PubMed Abstract | Google Scholar

Mosteller, R. D., and Kwan, S. F. (1976). Isolation of relaxed-control mutants of Escherichia coli K-12 which are sensitive to glucose starvation. Biochem. Biophys. Res. Commun. 69, 325–332. doi: 10.1016/0006-291X(76)90525-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Moyed, H. S., and Bertrand, K. P. (1983). hipA, a newly recognized gene of Escherichia coli K-12 that affects frequency of persistence after inhibition of murein synthesis. J. Bacteriol. 155, 768–775.

PubMed Abstract | Google Scholar

Nakata, K., Koh, M. M., Tsuchido, T., and Matsumura, Y. (2010). All genomic mutations in the antimicrobial surfactant-resistant mutant, Escherichia coli OW66, are involved in cell resistance to surfactant. Appl. Microbiol. Biotechnol. 87, 1895–1905. doi: 10.1007/s00253-010-2638-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Nieto, C., Cherny, I., Khoo, S. K., De Lacoba, M. G., Chan, W. T., Yeo, C. C., et al. (2007). The yefM-yoeB toxin-antitoxin systems of Escherichia coli and Streptococcus pneumoniae: functional and structural correlation. J. Bacteriol. 189, 1266–1278. doi: 10.1128/JB.01130-06

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikel, P. I., Chavarria, M., Martinez-Garcia, E., Taylor, A. C., and De Lorenzo, V. (2013). Accumulation of inorganic polyphosphate enables stress endurance and catalytic vigour in Pseudomonas putida KT2440. Microb. Cell Fact. 12:50. doi: 10.1186/1475-2859-12-50

PubMed Abstract | CrossRef Full Text | Google Scholar

Osbourne, D. O., Soo, V. W., Konieczny, I., and Wood, T. K. (2014). Polyphosphate, cyclic AMP, guanosine tetraphosphate, and c-di-GMP reduce in vitro Lon activity. Bioengineered 5, 457–461. doi: 10.4161/bioe.29261

PubMed Abstract | CrossRef Full Text | Google Scholar

Overgaard, M., Borch, J., Jorgensen, M. G., and Gerdes, K. (2008). Messenger RNA interferase RelE controls relBE transcription by conditional cooperativity. Mol. Microbiol. 69, 841–857. doi: 10.1111/j.1365-2958.2008.06313.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Page, R., and Peti, W. (2016). Toxin-antitoxin systems in bacterial growth arrest and persistence. Nat. Chem. Biol. 12, 208–214. doi: 10.1038/nchembio.2044

PubMed Abstract | CrossRef Full Text | Google Scholar

Pandey, D. P., and Gerdes, K. (2005). Toxin-antitoxin loci are highly abundant in free-living but lost from host-associated prokaryotes. Nucleic Acids Res. 33, 966–976. doi: 10.1093/nar/gki201

PubMed Abstract | CrossRef Full Text | Google Scholar

Prysak, M. H., Mozdzierz, C. J., Cook, A. M., Zhu, L., Zhang, Y., Inouye, M., et al. (2009). Bacterial toxin YafQ is an endoribonuclease that associates with the ribosome and blocks translation elongation through sequence-specific and frame-dependent mRNA cleavage. Mol. Microbiol. 71, 1071–1087. doi: 10.1111/j.1365-2958.2008.06572.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramisetty, B. C. M., Raj, S., and Ghosh, D. (2016). Escherichia coli MazEF toxin-antitoxin system does not mediate programmed cell death. J. Basic Microbiol. doi: 10.1002/jobm.201600247 [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Ramisetty, B. C. M., and Santhosh, R. S. (2016). Horizontal gene transfer of chromosomal Type II toxin-antitoxin systems of Escherichia coli. FEMS Microbiol. Lett. 363: fnv238. doi: 10.1093/femsle/fnv238

PubMed Abstract | CrossRef Full Text | Google Scholar

Ray, W. K., and Larson, T. J. (2004). Application of AgaR repressor and dominant repressor variants for verification of a gene cluster involved in N-acetylgalactosamine metabolism in Escherichia coli K-12. Mol. Microbiol. 51, 813–826. doi: 10.1046/j.1365-2958.2003.03868.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Salgado, H., Peralta-Gil, M., Gama-Castro, S., Santos-Zavaleta, A., Muniz-Rascado, L., Garcia-Sotelo, J. S., et al. (2013). RegulonDB v8.0: omics data sets, evolutionary conservation, regulatory phrases, cross-validated gold standards and more. Nucleic Acids Res. 41, D203–D213. doi: 10.1093/nar/gks1201

PubMed Abstract | CrossRef Full Text | Google Scholar

Shan, Y., Lazinski, D., Rowe, S., Camilli, A., and Lewis, K. (2015). Genetic basis of persister tolerance to aminoglycosides in Escherichia coli. MBio 6:e00078-15. doi: 10.1128/mBio.00078-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Shao, Y., Harrison, E. M., Bi, D., Tai, C., He, X., Ou, H. Y., et al. (2011). TADB: a web-based resource for Type 2 toxin-antitoxin loci in bacteria and archaea. Nucleic Acids Res. 39, D606–D611. doi: 10.1093/nar/gkq908

PubMed Abstract | CrossRef Full Text | Google Scholar

Sheikh, J., Hicks, S., Dall’agnol, M., Phillips, A. D., and Nataro, J. P. (2001). Roles for Fis and YafK in biofilm formation by enteroaggregative Escherichia coli. Mol. Microbiol. 41, 983–997. doi: 10.1046/j.1365-2958.2001.02512.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Singletary, L. A., Gibson, J. L., Tanner, E. J., Mckenzie, G. J., Lee, P. L., Gonzalez, C., et al. (2009). An SOS-regulated type 2 toxin-antitoxin system. J. Bacteriol. 191, 7456–7465. doi: 10.1128/JB.00963-09

PubMed Abstract | CrossRef Full Text | Google Scholar

Stubbings, W. J., Bostock, J. M., Ingham, E., and Chopra, I. (2004). Assessment of a microplate method for determining the post-antibiotic effect in Staphylococcus aureus and Escherichia coli. J. Antimicrob. Chemother. 54, 139–143. doi: 10.1093/jac/dkh275

PubMed Abstract | CrossRef Full Text | Google Scholar

Svitil, A. L., Cashel, M., and Zyskind, J. W. (1993). Guanosine tetraphosphate inhibits protein synthesis in vivo. A possible protective mechanism for starvation stress in Escherichia coli. J. Biol. Chem. 268, 2307–2311.

PubMed Abstract | Google Scholar

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

PubMed Abstract | CrossRef Full Text | Google Scholar

Vazquez-Laslop, N., Lee, H., and Neyfakh, A. A. (2006). Increased persistence in Escherichia coli caused by controlled expression of toxins or other unrelated proteins. J. Bacteriol. 188, 3494–3497. doi: 10.1128/JB.188.10.3494-3497.2006

PubMed Abstract | CrossRef Full Text | Google Scholar

Wendrich, T. M., Blaha, G., Wilson, D. N., Marahiel, M. A., and Nierhaus, K. H. (2002). Dissection of the mechanism for the stringent factor RelA. Mol. Cell 10, 779–788. doi: 10.1016/S1097-2765(02)00656-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Wood, T. K. (2016). Combatting bacterial persister cells. Biotechnol. Bioeng. 113, 476–483. doi: 10.1002/bit.25721

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, H., Kalman, M., Ikehara, K., Zemel, S., Glaser, G., and Cashel, M. (1991). Residual guanosine 3′,5′-bispyrophosphate synthetic activity of relA null mutants can be eliminated by spoT null mutations. J. Biol. Chem. 266, 5980–5990.

Google Scholar

Yamaguchi, Y., and Inouye, M. (2011). Regulation of growth and death in Escherichia coli by toxin-antitoxin systems. Nat. Rev. Microbiol. 9, 779–790. doi: 10.1038/nrmicro2651

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., and Inouye, M. (2002). MazG, a nucleoside triphosphate pyrophosphohydrolase, interacts with Era, an essential GTPase in Escherichia coli. J. Bacteriol. 184, 5323–5329. doi: 10.1128/JB.184.19.5323-5329.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, J., and Rudd, K. E. (2013). EcoGene 3.0. Nucleic Acids Res. 41, D613–D624. doi: 10.1093/nar/gks1235

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: ppGpp, inorganic polyphosphate, polar effects, fitness

Citation: Ramisetty BCM, Ghosh D, Roy Chowdhury M and Santhosh RS (2016) What Is the Link between Stringent Response, Endoribonuclease Encoding Type II Toxin–Antitoxin Systems and Persistence? Front. Microbiol. 7:1882. doi: 10.3389/fmicb.2016.01882

Received: 03 September 2016; Accepted: 09 November 2016;
Published: 23 November 2016.

Edited by:

Bart Devreese, Ghent University, Belgium

Reviewed by:

Thomas Keith Wood, Pennsylvania State University, USA
Laurence Van Melderen, Université Libre de Bruxelles, Belgium

Copyright © 2016 Ramisetty, Ghosh, Roy Chowdhury and Santhosh. 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) or licensor 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: Bhaskar C. M. Ramisetty, ramisettybcm@biotech.sastra.edu

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