The alarmones (p)ppGpp are part of the heat shock response of Bacillus subtilis
Authors:
Heinrich Schäfer aff001; Bertrand Beckert aff003; Christian K. Frese aff002; Wieland Steinchen aff004; Aaron M. Nuss aff005; Michael Beckstette aff005; Ingo Hantke aff001; Kristina Driller aff002; Petra Sudzinová aff006; Libor Krásný aff006; Volkhard Kaever aff007; Petra Dersch aff005; Gert Bange aff004; Daniel N. Wilson aff003; Kürşad Turgay aff001
Authors place of work:
Institute of Microbiology, Leibniz Universität Hannover, Hannover, Germany
aff001; Max Planck Unit for the Science of Pathogens, Berlin, Germany
aff002; Institute for Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany
aff003; Philipps-University Marburg, Center for Synthetic Microbiology (SYNMIKRO) and Department of Chemistry, Marburg, Germany
aff004; Department of Molecular Infection Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
aff005; Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
aff006; Hannover Medical School, Research Core Unit Metabolomics, Hannover, Germany
aff007; Institute of Infectiology, University of Münster, Münster, Germany
aff008
Published in the journal:
The alarmones (p)ppGpp are part of the heat shock response of Bacillus subtilis. PLoS Genet 16(3): e1008275. doi:10.1371/journal.pgen.1008275
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pgen.1008275
Summary
Bacillus subtilis cells are well suited to study how bacteria sense and adapt to proteotoxic stress such as heat, since temperature fluctuations are a major challenge to soil-dwelling bacteria. Here, we show that the alarmones (p)ppGpp, well known second messengers of nutrient starvation, are also involved in the heat stress response as well as the development of thermo-resistance. Upon heat-shock, intracellular levels of (p)ppGpp rise in a rapid but transient manner. The heat-induced (p)ppGpp is primarily produced by the ribosome-associated alarmone synthetase Rel, while the small alarmone synthetases RelP and RelQ seem not to be involved. Furthermore, our study shows that the generated (p)ppGpp pulse primarily acts at the level of translation, and only specific genes are regulated at the transcriptional level. These include the down-regulation of some translation-related genes and the up-regulation of hpf, encoding the ribosome-protecting hibernation-promoting factor. In addition, the alarmones appear to interact with the activity of the stress transcription factor Spx during heat stress. Taken together, our study suggests that (p)ppGpp modulates the translational capacity at elevated temperatures and thereby allows B. subtilis cells to respond to proteotoxic stress, not only by raising the cellular repair capacity, but also by decreasing translation to concurrently reduce the protein load on the cellular protein quality control system.
Keywords:
DNA transcription – Protein translation – Ribosomes – Cellular stress responses – Ribosomal RNA – Thermal stresses – Heat shock response – Bacillus subtilis
Introduction
Bacteria have evolved complex and diverse regulatory networks to sense and respond to changes in the environment, which can include physical stresses or nutrient limitation [1]. The universally conserved protein quality control system comprises a conserved set of chaperones and proteases that monitor and maintain protein homeostasis. Various physical stresses, such as heat stress, favor the unfolding and aggregation of cellular proteins, which can be sensed by heat shock response systems, allowing an appropriate cellular stress response. The response to such protein unfolding stresses includes the induction of the expression of genes encoding chaperones and proteases of the quality control system, also known as heat shock proteins, and is usually very fast (less than 2–5 min) [2–7].
Interestingly, in B. subtilis cells, a short exposure to a raised but non-lethal temperature induces thermotolerance, an acquired resistance to otherwise lethal temperatures [8,9]. Investigating the adaptation to such adverse conditions, also known as priming, allows the molecular mechanisms and interplay of the various cellular processes involved in the cellular stress and heat shock response to be studied [8,9]. In B. subtilis, the heat shock response is orchestrated by multiple transcriptional regulators, including the heat-sensitive repressors HrcA & CtsR, which control the expression of the protein quality control system and other general stress genes [10–13]. The general stress response, activated by the alternative sigma factor σB, is controlled by a complex regulatory network that integrates diverse stress and starvation signals, including heat [14]. In addition, Spx is a central regulator of the heat and thiol stress response, which is important for the development of thermotolerance. Spx activates the expression of many genes of the heat shock response, including clpX, htpG and genes of the oxidative and thiol stress response such as thioredoxin [9,15–18]. Interestingly, Spx can also mediate the inhibition of cell growth by the concurrent transcriptional down-regulation of many translation-related genes [17].
Another fast-acting bacterial stress response system is the stringent response (SR), which is mediated by the second messenger alarmones (p)ppGpp [19]. The synthesis and hydrolysis of (p)ppGpp is catalyzed by RelA/SpoT homologs (RSH) which contain N-terminal synthetase and hydrolase domains (bifunctional Rel or SpoT subgroup), or an active synthetase and an inactive hydrolase domain (RelA subgroup) together with additional regulatory domains at the C-terminus [20]. RSH can therefore direct both synthesis and, in the case of Rel, hydrolysis of (p)ppGpp. The enzyme activity of RelA or Rel is stimulated by association with uncharged tRNAs and the ribosome, thereby mediating (p)ppGpp synthesis upon amino acid starvation [21–25]. In addition to this long multi-domain RSH form, monofunctional small alarmone synthetases (SAS) or small alarmone hydrolases (SAH) with single synthetase or hydrolase domains are present in many bacteria [26]. In B. subtilis, alarmone levels are controlled by Rel (often referred to as RelA), a bifunctional, RSH-type synthetase/hydrolase as well as two SAS proteins RelP (SasA, YwaC) and RelQ (SasB, YjbM) [27–29].
The synthesis and hydrolysis of (p)ppGpp allows the activation or repression of different cellular pathways by modulating various enzyme activities involved in GTP homeostasis, replication, transcription and translation, not only in response to amino acid starvation, but also to various other signals or stresses. It was observed for different bacteria that additional and diverse starvation or stress signals can activate the SR via interacting proteins or metabolites that bind and modulate the activity of RSH-type enzymes, or by transcriptional or post-translational regulation of monofunctional SAS [30,31]. B. subtilis and related Firmicutes lack a DksA homolog and a direct binding site for (p)ppGpp on RNA polymerase (RNAP) which mediate positive and negative stringent regulation in E. coli and other proteobacteria. Instead, in B. subtilis (p)ppGpp can exert transcriptional regulation via a drop in GTP levels caused by the direct inhibition of multiple enzymes of the GTP synthesis pathway [32,33]. Thus, transcription of ribosomal RNA (rRNA) and ribosomal protein (r-protein) genes from promoters that initiate transcription with GTP is strongly reduced, while in turn promoters that initiate with ATP are activated [34,35]. In addition, the global regulator and repressor CodY is activated by GTP via an allosteric binding site, and therefore amino acid biosynthesis genes and other pathways are de-repressed upon a drop of the cellular GTP level during the SR [36,37]. Beyond its impact on transcription, (p)ppGpp can modulate ribosome assembly, translation initiation and elongation by binding, for example, to the translation initiation factor IF-2 and other ribosome-associated GTPases [38–44]. With its ability to inhibit translation and growth, the SR was also implicated in persister cell formation and development of antibiotic tolerance [45]. In addition, (p)ppGpp is required for virulence as well as survival of pathogens during infection [19,46].
During exposure to heat and oxidative stress, we and others previously observed in B. subtilis a pronounced down-regulation of rRNA and r-protein genes that resembled the pattern of the SR [16–18,47]. Thus, we hypothesized that the alarmone (p)ppGpp and the SR-like response could be part of the heat shock response of B. subtilis. Therefore, we investigated the role of the SR and its intricate and mutual involvement with the cellular stress response under various proteotoxic stress conditions, including various heat shock conditions [9,48].
Consistent with our hypothesis, we could demonstrate that the cellular level of (p)ppGpp was increased upon heat shock, as well as upon salt and oxidative stress. In addition, raised alarmone levels conferred increased stress tolerance and a (p)ppGpp0 strain appeared more stress sensitive. The presence of the bifunctional Rel was necessary and sufficient for the observed stress induced increase of (p)ppGpp. Overall (p)ppGpp appeared to play only a minor more complementary role for the heat mediated adjustments of transcription. However, we observed a prominent and instantaneous effect of the cellular alarmone (p)ppGpp levels on limiting and modulating translation by reducing the protein load on the quality control system during heat stress and concurrently allowing the expression of heat shock genes. Thereby the fast reallocation of cellular resources to raise the cellular repair capacity controlled by the other known regulators of the heat shock response could be facilitated.
Results and discussion
Regimes for monitoring of heat shock stress response in B. subtilis
In this study, we investigated the stress response of B. subtilis by application of different, but related, heat shock conditions: (i) growth and heat shock at 50 °C, a temperature that is non-lethal for B. subtilis but already induces a significant heat shock response with a raised expression of chaperones and proteases, (ii) resistance to severe heat shock by measuring the survival of exponentially growing cells exposed to a severe, lethal heat shock at 53 °C, which can also be considered a measure for thermoresistance (37/53 °C) (Fig 1A), and (iii) the development of thermotolerance by measuring the survival of exponentially growing cells primed by a mild pre-shock for 15 min at 48 °C before their exposure to the severe heat shock at 53 °C (48/53 °C) (Fig 1A). We experimentally established that 55 °C was an appropriate temperature to examine the impact of severe heat on B. subtilis cells growing on agar plates. In addition to exposure to these various heat conditions, we also examined other potentially proteotoxic stresses, such as salt and oxidative stress [9,17,48].
Cellular (p)ppGpp levels increase during heat shock exposure
To investigate the impact of heat on the SR, we first assessed the intracellular levels of the alarmones pGpp, ppGpp and pppGpp ((p)ppGpp) during the heat shock response at 50 °C. We consider the sum of the cellular concentration of these three alarmones as a measure of the total (p)ppGpp alarmones concentration. Cells were grown at 37 °C in minimal medium to an optical density at 600 nm (OD600nm) of 0.4, and subsequently treated with a single, non-lethal temperature upshift to 50 °C in order to induce the heat shock response. After 2, 5 and 10 minutes of incubation at 50 °C, the intracellular levels of the alarmones were examined by liquid chromatography coupled mass spectrometry (LC-MS) (see Methods) (Fig 1) [49].
Already after 2 minutes, the alarmone levels increased approx. seven-fold (from 13 to 88 pmol OD-1 ml-1) (Fig 1B), which is in a similar range to that observed upon amino acid starvation induced by DL-norvaline (NV) (Fig 1C). In addition, significantly increased (p)ppGpp levels could be observed upon treatment with serine hydroxamate (SHX), salt stress induced by 6% (w/v) NaCl or 0.5 mM diamide, a strong oxidant of thiol groups (Fig 1C) [50,51]. It should be noted that (p)ppGpp levels increased only transiently during heat shock and returned to almost basal levels after 10 minutes (Fig 1B). Thus, we conclude that exposure to a non-lethal heat shock at 50 °C elicits a fast, but transient, increase of the (p)ppGpp alarmone levels.
We also assessed the levels of the alarmones under thermoresistance conditions (37/53 °C) and after priming (48 °C) under thermotolerance conditions (48/53 °C) (Fig 1A and 1D). We observed transiently increased (p)ppGpp levels (Fig 1D), however, the alarmone levels were particularly high during the severe heat shock shift at 37/53 °C (about 25-fold increase) and the induction was lower both for the 37/48 °C or 48/53 °C conditions (about 2–3 fold increase) (Fig 1D). The priming at 48°C appear to limit the alarmone synthesis of thermotolerant cells, when subsequently exposed to the lethal heat shock at 53 °C (Fig 1D).
The synthesis of (p)ppGpp that occurs during activation of the SR e.g. by treatment with serine hydroxamate or DL-norvaline, is in B. subtilis accompanied by a rapid decrease in the cellular GTP level [33], which we also observed after exposure to salt or diamide (S1A Fig). Interestingly, we did not observe a reduction in the GTP level after exposure to 50 °C (S1A Fig). The GTP level was at a relatively high level (S1B Fig) during temperature upshifts of 37/48 °C, 37/53 °C and 48/53 °C. However, after 15 min exposure to the raised temperature, the GTP level decreased in all temperature upshifts (S1B Fig).
Taken together, we observed that exposure to heat shock elicits a fast, but only transient, increase of the (p)ppGpp alarmones, which did not immediately affect the cellular GTP levels, which control the transcriptional response [33]. Therefore, it seems that alarmone levels might exhibit a graded response to heat exposure and temperature levels.
Rel activity is the main source for (p)ppGpp synthesis during stress response
Next, we aimed to identify the source of (p)ppGpp during the heat stress response. To this end, strains with mutations that disrupt the (p)ppGpp synthetase activity of the proteins encoded by relP and relQ (relP/Q- strain) or rel (relE324V; inactive synthetase) were assayed for (p)ppGpp accumulation and GTP levels upon heat shock at 50 °C for 2 min (Fig 1E and S1C Fig). As a control, the (p)ppGpp accumulation was also measured in a (p)ppGpp° strain bearing inactivating mutations in all three alarmone synthetase genes (relPE154V, relQE139V and Δrel) (Figs 1E and 2E). In addition, the (p)ppGpp-dependent transcription of hpf was employed as an additional read-out for the activation of the SR (S1D Fig) [52,53]. As expected, alarmone nucleotides were not detected in the (p)ppGpp° mutant under any conditions [28] (Fig 1E). We observed that upon heat exposure, the relP/Q- (relPE154V, relQE139V) strain also exhibited accumulation of (p)ppGpp (Fig 1E) and up-regulation of the hpf transcript similar to wild type cells (S1D Fig), indicating that the activity of RelP and RelQ is dispensable for (p)ppGpp production during heat stress. By contrast, the relE324V strain accumulated only small amounts of (p)ppGpp, with even lower levels after a brief heat exposure to heat (Fig 1E). Consistently, up-regulation of the hpf transcript in response to stress was also impaired in the relE324V strain (S1D Fig). Together, these results strongly suggest that the activity of Rel is the main source of (p)ppGpp during heat stress.
Activation of Rel during amino acid starvation requires the presence of uncharged tRNA and its association with the ribosome [21,22]. Early experiments by Cashel demonstrated that (p)ppGpp accumulation upon starvation for amino acids was almost completely suppressed in the presence of the translation inhibitor chloramphenicol, which indicated a connection between Rel activation and translation [54]. Interestingly, we also observed the same suppression of alarmone accumulation also upon heat and diamide treatment (Fig 1F). These experiments indicate that heat and oxidative stress mediated signal to activate Rel synthetase activity could be similar to the tRNA mediated signal activating the ribosome associated Rel upon amino acid starvation [19,20,54].
B. subtilis cells lacking (p)ppGpp are more sensitive to stress
To assess the importance of alarmone production for cellular survival under heat stress, we monitored growth of wild type, (p)ppGpp°, relP/Q- (relPE154V, relQE139V) and relE324V B. subtilis strains at 37 °C and 55 °C on agar plates (Fig 2A and 2B). As expected, no obvious growth defect was observed for any of the strains at 37 °C. While the survival of the cells from the relP/Q—strain at 55 °C was identical to that of the wild type strain, strong growth defects were evident for the cells of the (p)ppGpp° and relE324V strains at 55 °C. These findings suggested that production of (p)ppGpp by Rel, but not RelP/Q, is critical for survival of B. subtilis cells under heat stress. Such severe growth defects were observed for both the (p)ppGpp° and relE324V strains not only under heat-, but also under oxidative- and salt stress, whereas the growth behavior of the relP/Q- strain again resembled the wild type strain under the same conditions (Fig 2C and 2D). Collectively, these findings suggest that production of (p)ppGpp by Rel is critical for survival of B. subtilis cells, not only under heat stress, but also conditions of oxidative and salt stress.
High cellular (p)ppGpp levels confer elevated heat stress resistance
Next, we asked whether (p)ppGpp levels influence thermotolerance development and survival. To do this, we utilized the (p)ppGpp° strain, which cannot synthesize (p)ppGpp (Fig 1E) as well as a Δrel strain that exhibits constantly raised (p)ppGpp (Fig 2F) with concomitantly lowered GTP levels (S2A Fig). Rel is the only alarmone hydrolase in B. subtilis and the increased high (p)ppGpp levels in cells of B. subtilis Δrel strain cause also an overall decrease in the growth rate (Fig 2F, S2A and S2B Fig), consistent with previous reports [28,29].
In the thermoresistance (37/53 °C) and thermotolerance (48/53 °C) experiments we observed that, unlike the cells of wild type, (p)ppGpp° or the ΔrelP and ΔrelQ cells strains (Fig 2G and 2H, S2C and S2D Fig), the Δrel strain exhibited strongly increased thermoresistance, which was apparent from the high number of Δrel cells still able to form colonies after the otherwise lethal heat shock (Fig 2G). Consistently, we also observed a strong reduction in protein aggregation during the 37/53 °C heat shock for the Δrel strain, while the (p)ppGpp° strain exhibited more protein aggregation when exposed to the 37/53 °C heat shock (Fig 2I).
To investigate whether the increased heat resistance of the Δrel strain was caused by the elevated levels of the alarmone (p)ppGpp, rather than the absence of the Rel protein, we expressed a truncated form of the E. coli RelA (RelAhyper) that exhibits constitutive and hyperactive alarmone synthetase activity in trans in wild type B. subtilis cells [55,56]. As a control, we also expressed a truncated form of the E. coli RelA (RelAinactive) that has no alarmone synthetase activity [55,56]. In a second approach, we examined B. subtilis Rel variants inactive in either the synthetase (RelE324V) or hydrolase (RelH77A/D78A) expressed in trans in the B. subtilis (p)ppGpp° strain.
Expression of E. coli RelAhyper or hydrolase-inactive B. subtilis RelH77A/D78A in trans resulted in increased alarmone levels (S3A Fig) and conferred high thermoresistance (S3B and S3C Fig), as observed for the B. subtilis Δrel strain (Fig 2G). By contrast, B. subtilis (p)ppGpp° strains expressing E. coli RelAinactive or the B. subtilis synthetase-inactive RelE324V in trans displayed neither increased alarmone levels (S3A Fig), nor increased survival to severe heat stress (S3D and S3E Fig). This suggests that the increased alarmone levels, independent of the synthetase, are responsible for the thermoresistance phenotype in B. subtilis.
The role of cellular GTP levels during heat stress
High (p)ppGpp levels during the SR lead in B. subtilis to a decrease in the cellular GTP level and this decrease is known to be intricately involved in causing the transcriptional changes during the SR [33,34] (S1, S2A and S3A Figs). To examine, whether the resistance to heat stress observed in the Δrel strain could be mediated simply by lowering the cellular GTP level, wild type cells were treated with decoyinine, an inhibitor of GMP synthetase, which decreases the cellular GTP level (> 3-fold) without increasing (p)ppGpp levels [57,58]. Treatment with 50 μg ml-1 decoyinine showed no effect, while addition of 250 μg/ml decoyinine resulted in a partially increased thermoresistance. (S4 Fig). However, further increased decoyinine concentrations reduced (400 μg/ml), or even abolished (1000 μg/ml) both thermoresistance and thermotolerance development (S4 Fig). These experiments suggest that the decoyinine-mediated lowered cellular GTP level, which is a prerequisite for the reprogramming of the transcriptome during SR [33,34,59], can elicit heat resistance only to a limited extent. However, the observed effect of decoyinine on thermoresistance was weaker in comparison to the effect of raised (p)ppGpp levels (Fig 2F and 2G and S3 Fig).
From these observations, we infer that raised (p)ppGpp levels are sufficient to confer increased stress resistance and reduced levels of heat-induced protein aggregates. However, the SR-mediated drop in the cellular GTP level [33] was not observed during the heat shock response (S1 Fig) and an artificial reduction of the cellular GTP level by decoyinine had only a moderate effect on thermoresistance and could even abolish thermotolerance (S4 Fig).
Therefore, we went on and investigated the transcriptome, translation and proteome at raised temperatures and in the absence and presence of (p)ppGpp.
Transcriptome changes in the presence and absence of (p)ppGpp at raised temperatures
We performed global RNA-seq experiments to compare the transcriptome changes between B. subtilis wild type, Δrel and (p)ppGpp° strains under exponential growth (37 °C) after heat shock (15 min 48 °C) as well as the thermotolerance conditions 37/53 °C and 48/53 °C (Fig 1A) in wild type cells. Since down-regulation of “stable” rRNA is a hallmark of the SR, we introduced a previously established chromosomal rrnJp1-lacZ fusion into the tested strains, which allowed us to follow the activity of this rRNA promoter with RNA-seq and RT-qPCR experiments in these B. subtilis strains [17].
Thereby we were able to gain insights into (i) the strong phenotype associated with a rel deletion especially when compared with the (p)ppGpp° B. subtilis strain (Fig 3A and 3B) and compare it to the (ii) transcriptome changes of wild type cells during thermotolerance 37 vs 48/53 °C (Fig 3C and 3D). At the same time (iii) the transcription pattern of all gene sets of interest could be compared and inspected for all the tested conditions and introduced mutations (Fig 4, S5, S6 and S7 Figs). In addition, we used RT-qPCR experiments to validate our RNA-seq experiment and to investigate different conditions such as growth at 50 °C.
Stringent response
First, we analyzed the transcriptomic data from the exponentially growing wild type, (p)ppGpp° and Δrel strains (Fig 3A and 3B, S1, S2 and S3 Datasets). By comparing Δrel cells, which exhibit constitutively high alarmone levels (Fig 2F), with (p)ppGpp° cells, 682 genes were found to be regulated by (p)ppGpp (Fig 3A) and we observed a good correlation with RT-qPCR experiments of selected regulated genes (S5A Fig). We noticed a broad down-regulation of many translation-related genes including the rrnJp1-lacZ reporter as well as an extensive de-repression of CodY-controlled amino acid synthesis genes (e.g. ilvB (Fig 3A and 3B, S5B and S6 Figs)), both of which are characteristic for the SR in accordance with previous transcriptomic studies [37,53,60,61]. Furthermore, a strong decrease in the transcription of CcpA-regulated genes required for the utilization of alternative carbon sources was observed (e.g. rbsC (Fig 3A and 3B, S5B and S6 Figs)). Interestingly, the transcription of many heat shock genes was decreased in Δrel cells (e.g. dnaK and clpE (S5B Fig)). In contrast, we noticed increased transcript levels of many general stress genes of the SigB regulon (e.g. ssrA, dps, gsiB, ysnF) in the absence of stress at 37 °C Δrel cells (Fig 3B and S5B Fig). Notably, the transcript level of hpf (yvyD), encoding the hibernation promoting factor Hpf, was increased by raised (p)ppGpp levels (24-fold up-regulated, (S5A and S5B Fig)), confirming that the increased transcription of hpf can be considered as a reporter for the activation of the SR [52,53].
The heat-induced (p)ppGpp pulse mediates only minor transcriptional changes
After having established that alarmones can play a protective role during the heat shock response, we sought to assess the role of (p)ppGpp in transcriptional changes during heat exposure. To this end, we analyzed the thermoresistance (37/53 °C) and thermotolerance (48°/53 °C) conditions (Figs 1A, 3C and 3D) [9,17] in wild type cells and investigated the wild type, (p)ppGpp° and Δrel strains also at 48 °C, of the same RNA-seq experiment. Overall, we detected only small changes when comparing the transcriptome of wild type cells and (p)ppGpp° cells at 37 °C and 48 °C, indicating that the majority of transcriptional changes of the heat stress response are mediated independently of (p)ppGpp (Fig 4A and 4B). Thermotolerant wild type cells (48/53 °C) exhibited a comprehensive down-regulation of translation-related genes including the rrnJp1-lacZ reporter that was, to a lesser extent, also observed in the mild pre-shock (48 °C) and severe heat shock (37/53 °C) conditions (Figs 3 and 4, S5 and S6 Figs), in agreement with previous observations [17]. Importantly, the heat-mediated down-regulation of rrnJp1-lacZ appeared to be partially (p)ppGpp-dependent and was therefore less pronounced in the (p)ppGpp° strain (Fig 4C and 4D). Independent RT-qPCR experiments confirmed this observation. The requirement of (p)ppGpp for repression of rrnJp1 under heat stress became even more apparent when the 50 °C heat shock condition was examined (S7A Fig).
By contrast, the heat-mediated down-regulation of many ribosomal protein genes and other translation-related genes appeared to also occur in the absence of (p)ppGpp, indicating a more complex and (p)ppGpp-independent control of the transcription of these genes (Fig 4C). Furthermore, while an extensive de-repression of the CodY regulon could be observed in Δrel cells as a hallmark of the SR, no increased transcription of CodY-regulated genes was observed in any of the heat shock conditions tested (S6 and S7B Figs), which could be explained by the unchanged GTP level in heat shocked cells (S1 Fig).
The transcript level of the genes encoding conserved chaperones and proteases of the heat shock response regulon were strongly up-regulated upon all temperature up-shifts, independently of the presence or absence of (p)ppGpp (S6 and S7C Figs). Interestingly, additional RT-qPCR experiments performed with RNA from 50 °C heat shock-treated cells revealed that the heat-induced expression of some SigB-regulated genes was impaired in the (p)ppGpp° background, e.g. ssrA (approx. 2-fold lower expression in (p)ppGpp° cells at 50 °C) and dps (approx. 3-fold lower expression), indicating a possible functional connection between the SR and the general stress response (S7C and S7D Fig) [62,63]. However, the majority of genes of the SigB regulon were found to be induced in the (p)ppGpp° strain similarly to wild type cells at 48 °C (S6 Fig).
Notably, the heat-induced expression of hpf, which is positively regulated by the SR (S5A Fig), was lower in the (p)ppGpp° strain compared to wild type cells during heat stress (Fig 4D and S7A Fig). Furthermore, while CcpA-regulated genes were repressed in wild type and (p)ppGpp° cells under heat shock conditions (Fig 3 and S6 Fig), some genes (e.g. rbsD, ganP, licH) were less down-regulated or even induced at 48 °C in the (p)ppGpp° strain (Fig 4B). In contrast, motility-genes were particularly strongly down-regulated by heat in the (p)ppGpp° mutant (Fig 4B, S5 and S6 Figs), while the down-regulation of these genes appeared not to be significant in wild type cells at 48 °C (median 1.14-fold change, S6 Fig) [64].
Taken together, (p)ppGpp has a small but noticeable impact on the transcriptome during heat stress. The heat-mediated up-regulation of hpf and the down-regulation of rrnJp1-lacZ appear to be dependent on (p)ppGpp. However, the overall induction of the heat shock response as well as the strong repression of many ribosomal protein genes observed during heat stress appear to be mostly independent of alarmones. The induction of the CodY regulon, a hallmark of SR, was also not much effected during heat stress, most likely because the heat mediated transient increase of (p)ppGpp might not be sufficient to lower the cellular GTP level for the subsequent remodeling of the transcriptome known from the fully induced SR [60].
It should be noted that when designing the RNA-seq experiment, we choose 48 °C as a simple heat shock condition for the mutant strains since it resembled the thermotolerance protocol (Fig 1A) and the condition of previously published microarrays [17]. However, many phenotypes of Spx and (p)ppGpp could be observed best upon a stronger, but non-lethal, heat shock at 50 °C [17], which we could assess by RT-qPCR. We also observed that, while wildtype cells treated with 37/53 °C exhibit a strong increase of (p)ppGpp within the first minutes of stress (Fig 1D), the examination of cellular physiology under these lethal conditions might be influenced by the apparent reduction of viability of about one order of magnitude (Fig 2G) [9,17].
Complementary roles of Spx and stringent response during heat shock
Previously, we reported that Spx, a central regulator of the heat- and oxidative stress response, can down-regulate the transcription of translation-related genes and rRNA [17]. However, an spx deletion strain was not impaired in the heat-mediated down-regulation of these genes [17]. Here, we noticed a detectable, albeit limited, involvement of the SR in the transcriptional down-regulation of specific genes during heat stress (rrnJp1-lacZ), suggesting an intricate regulation of these genes by different factors. To test for such a concurrent and complementary transcriptional regulation by Spx and (p)ppGpp, a B. subtilis strain combining a spx deletion with the (p)ppGpp° mutations was constructed. Down-regulation of rrnJp1-lacZ upon heat shock appear to largely depend on (p)ppGpp (Fig 5A), however Spx can also repress this promoter also in the absence of (p)ppGpp (S9B Fig) [17]. Interestingly, this (p)ppGpp° Δspx strain also displayed a slow growth phenotype at 37 °C and a more severe growth defect at 50 °C compared to the strains with single deletions of (p)ppGpp° or Δspx (Fig 5B and S8B Fig). These findings suggest a possible genetic interaction of the SR and the spx regulon under heat stress conditions. Consistently, the (p)ppGpp° Δspx strain accumulated more heat-induced protein aggregates at 50 °C than cells lacking either (p)ppGpp or spx (S8C Fig). However, the transcription of selected r-protein genes was also down-regulated in the (p)ppGpp° Δspx strain (S8A Fig), suggesting additional factors beyond Spx and (p)ppGpp, that can also influence the promoter and/or the stability of these transcripts.
When mutations in rpoA were introduced in the (p)ppGpp° strain that abolish Spx-mediated up- and down-regulation (cxs-1/rpoAY263C), or interfere only with Spx-mediated repression of rRNA while still allowing up-regulation of redox chaperones (cxs-2 / rpoAV26°A) [17], only the (p)ppGpp° cxs-1 strain displayed a severe growth defect as observed for the (p)ppGpp° Δspx strain (S8B Fig). This experiment suggests that the Spx-mediated up-regulation of stress response genes, and not the ability to down-regulate translation-related genes, is required for efficient growth in the (p)ppGpp° background. Notably, (p)ppGpp is sufficient for the down-regulation of translation-related genes during norvaline-induced amino acid limitation, while Spx is dispensable for this process (S9A Fig). Conversely, Spx can act on rRNA promoters independently of (p)ppGpp in vivo (S9B Fig) [17]. In addition, in vitro transcription experiments with purified Spx and RNAP gave no indications that ppGpp could directly influence Spx mediated transcriptional activation or inhibition of RNAP (S9C Fig). Furthermore, Spx-dependent stress response genes (e.g. trxB, clpX) are not up-regulated in the Δrel strain (S3 Dataset), suggesting that Spx is not activated by (p)ppGpp in vivo.
Together, these experiments suggest a complex interplay between Spx and (p)ppGpp during the heat shock response and that the activity of at least either Spx or (p)ppGpp is important for efficient growth during heat stress. However, the inhibitory activity of Spx on translation-related genes appears to be dispensable for stress tolerance and many r-protein genes were down-regulated during heat stress even in the absence of both Spx and (p)ppGpp.
The observation that transcription of spx is also activated by (p)ppGpp via CodY in Enterococcus faecalis and that rel transcription is activated by the disulfide-stress regulator σR in Streptomyces coelicolor points toward a possible functional connection of these two regulators [65,66].
(p)ppGpp regulates translation during heat stress
Upon heat shock, we observed raised levels of (p)ppGpp, but not the transcriptional reprogramming triggered by lowered GTP levels (Figs 3 and 4, S6 and S7 Figs). Therefore, we wanted to determine the impact of (p)ppGpp on translation during heat stress. To this end, a method for pulse-labeling newly synthesized nascent peptide chains using puromycin was utilized to estimate protein synthesis rates (see Methods, S10 Fig) [67]. As expected, expressing the small alarmone synthetase relP (ywaC) in trans, results in accumulation of high (p)ppGpp levels, which concurrently lead to a strong decrease in translation rate, indicating that translation is inhibited in these cells (S10D and S10E Fig) [39,53,68].
When we examined the translation rate in cells, we observed that the Δrel strain always exhibited a lower translation rate compared to wild type cells at 37°C (Fig 6A and 6B), consistent with its raised (p)ppGpp levels and the observed “stringent” phenotype of this strain. The difference between wild type and Δrel strain diminished upon exposure to higher temperatures, possibly influenced also by stress induced raised levels of the alarmone in wild type cells at these higher temperatures. By contrast, the “relaxed” (p)ppGpp° strain always exhibited higher translation rates (Fig 6A and 6B), indicating a more deregulated translation compared to wild type or Δrel strains. During the non-lethal 50 °C heat shock, translation rates transiently increased in all strains (Fig 6A). Nevertheless, the (p)ppGpp° strain still displayed significantly higher translation rates compared to wild type and the Δrel B. subtilis strains (Fig 6A and 6B). The observed influence of (p)ppGpp on translation suggests that the most important impact of (p)ppGpp under heat stress appears not to be its effect on transcription (Fig 4 and S5 Fig), but the direct modulation of translation (Fig 6), possibly by directly interfering with the activity of different translational GTPases [39,40,68,69].
Down-regulation of translation accompanied by slower growth that increases thermoresistance can also be observed in cells with defective ribosomes, lacking e.g. the ribosomal protein L11 (RplK). RplK is not essential, however the ΔrplK strain exhibits severe translation defects and a strongly reduced growth rate (S11 Fig), despite its inability to synthesize (p)ppGpp [70]. Such a B. subtilis ΔrplK strain exhibits increased heat stress tolerance similar to Δrel cells (S11 Fig). This observation suggests that a reduced translation rate caused by a defective ribosome is sufficient to increase survival under heat stress, even in the absence of the alarmone. In summary, these observations indicate that the intracellular (p)ppGpp second messenger can immediately modulate translation during heat stress and that the reduction of the protein synthesis rate per se can promote increased stress tolerance.
Changes in protein levels mediated by heat shock and (p)ppGpp
The observation that (p)ppGpp appears to directly regulate translation under heat stress prompted us to also examine the effect of the alarmones and heat on changes in the proteome. Therefore, we employed mass spectrometry for a proteome-wide identification and quantification of cellular proteins from stressed (15 min 50 °C) and unstressed (37 °C) wild type, (p)ppGpp° and Δrel cells. In total, we quantified 2641 proteins which were identified with at least two peptides in all conditions (S4 and S5 Datasets, S12 and S13 Figs). Under heat stress (50 °C), a pronounced increase of heat-specific stress response proteins, e.g. ClpC or GroEL, was observed in all strains, indicating that the translational capacity is sufficient to promote the synthesis of heat shock proteins in wild type, and even in the Δrel strains where the translation rate is reduced (Fig 6C and S12 Fig).
In contrast, the heat mediated synthesis of SigB-controlled general stress proteins was reduced in (p)ppGpp° cells, whereas their levels were increased in the Δrel strain, which corroborates the regulatory connection between alarmone synthesis and the general stress response already observed in the RNA-seq experiment (Fig 6C and S12 Fig).
Abundant ribosomal proteins represent a large proportion of the cellular protein mass in wild type and (p)ppGpp° cells, however their levels were strongly decreased in Δrel cells in accordance with the constitutive stringent regulation observed in this strain (Fig 6C, S12 and S13 Figs). Interestingly, the levels of many r-proteins appear to be reduced upon heat stress in wild type but not in (p)ppGpp° cells (Fig 6C and S12 Fig), which supports an alarmone dependent post-translational control mechanism of the abundance of these translation-related proteins.
When comparing the proteomes of Δrel cells with wild type cells under unstressed conditions, we observed large-scale changes that resembled in many ways the results obtained by RNA-seq (S13 Fig). In contrast, the differences in the proteome between wild type and (p)ppGpp° cells were comparatively smaller at both 37 °C and 50 °C (S13 Fig). Importantly, a gene set enrichment analysis of the differentially regulated proteins from wild type or (p)ppGpp° at 37 °C or 50 °C revealed only few enriched functional categories (S5 Dataset). These observations suggest, that (p)ppGpp is involved in the regulation of the total translation capacity.
In summary, although (p)ppGpp may be involved in post-transcriptional regulation of some proteins, it appears that the alarmones assist in the development of stress tolerance by controlling global changes in translation rate. However, we observed a (p)ppGpp-dependent regulation of specific protein classes of the proteome. (Fig 6C). Notably we observed a reduction of r- proteins depending on the alarmone and a relative increase in chaperone levels during heat shock independent of the alarmone (Fig 6C, S12 and S13 Figs). Since we observed the heat mediated induction of chaperones even in the rel strain with its constantly elevated (p)ppGpp levels and a slowed down translation, we suspect the possibility of a mechanism allowing the specific translation of chaperones, albeit the generally slowed down translation.
In addition to this protective function, (p)ppGpp, which is synthesized only as a pulse by Rel during relatively uninhibited growth at 50 °C, could modulate or inhibit translation, presumably by directly interfering with translation factors [38,39,41,69]. A set of interesting in vitro experiments suggested a modulating effect of ppGpp and (p)ppGpp on IF2 and translation initiation, which also depended on specific structured elements of translated mRNA, allowing translation of specific mRNA’s in the presence of alarmones [41]. These experiments indicate a specific ability of alarmones, interacting with IF2, to limit translation in general, while possibly still allowing the expression of specific genes necessary for stress resistance [41].
(p)ppGpp is required for ribosome integrity and 100S formation during heat stress
Treatment with a lethal temperature shift (37/53 °C) without pre-shock resulted in a strong decrease in translation efficiency in wild type and (p)ppGpp° strains. Interestingly, translation was strongly decreased in (p)ppGpp° cells at 37/53 °C, while wild type cells still maintained active translation under these conditions (S14A Fig). The lowered translation activity in (p)ppGpp° cells appears to be accompanied by a strong reduction of the levels of cellular 16S rRNA during this severe heat shock (Fig 6D). This could indicate a defect in 16S rRNA maturation and the assembly and/or activity of the small ribosomal subunit, which would be consistent with the observed heat sensitivity of the B. subtilis (p)ppGpp° strain (Fig 2A and 2B). In contrast, the translation in Δrel cells appeared to be transiently increased in comparison to the wild type and (p)ppGpp° strains (S14A Fig), in agreement with the observed high heat-resistance of this strain to the otherwise lethal heat shock, which negatively affects the growth of the more sensitive wild type and (p)ppGpp° strain (Fig 2G).
The (p)ppGpp° strain also failed to induce expression of the hpf gene during heat stress and did not accumulate the Hpf protein (Fig 4D and S14B Fig). Thus, the formation of 100S disomes upon heat stress, which was clearly visible in the ribosome profiles of wild type and Δrel cells (especially under thermotolerance conditions) was abolished in the (p)ppGpp° strain where only polysomes could be detected similarly as in Δhpf cells (Fig 6E and S14C Fig) [71]. However, the apparent decrease in the 16S rRNA observed under severe stress conditions was not prevented by in trans expression of Hpf (S14D Fig) and overexpression of Hpf could not rescue the heat-sensitive phenotype of (p)ppGpp° strains (S14E Fig). Also, the addition of translation-inhibiting antibiotics could not rescue this phenotype, indicating that inhibition of translation per se is not sufficient to protect ribosomes during severe heat stress (S14F Fig).
It was recently observed in B. subtilis that tRNA maturation defects could lead to an inhibition of rRNA processing and 30S assembly via the synthesis of (p)ppGpp [72], supporting a role of the alarmone in ribosome maturation.
Taken together, these observations indicate that (p)ppGpp is also required for the integrity of the ribosomal subunits and the formation of 100S particles under heat stress. These observations might be important to understand possible stress signaling pathways and also the protective effects of (p)ppGpp on translation under proteotoxic stress conditions.
The activation of the stringent response during heat stress
The results presented here clearly reveal that (p)ppGpp accumulates rapidly during heat and other environmental stresses (Fig 1). In addition, strains unable to synthesize (p)ppGpp are rendered sensitive to high temperatures and accumulate more heat-induced protein aggregates (Fig 2A–2D, 2H and 2I). Interestingly, (p)ppGpp synthesis and heat tolerance are solely dependent on the synthetase activity of Rel, indicating that this enzyme is responsible for the synthesis of (p)ppGpp under these conditions (Figs 1E and 2A–2D).
Similarly to heat stress, disulfide or salt stress can also lead to inactivation, unfolding and aggregation of proteins [48,73]. It is possible that protein aggregation or inactivation could be involved in the signal for the stress-mediated activation of Rel, since proteotoxic and oxidative stress can result in the inactivation of enzymes and may impair uptake or biosynthesis of certain amino acids [51,74–76].
The transcriptional and translational heat shock response, which usually depends on sensing temperature indirectly or directly by cellular protein unfolding is in the range of 2–5 min [5,6]. Since the protein unfolding precedes the transcriptional or translational response, one can estimate that cellular protein unfolding upon sudden proteotoxic stress happen faster than 2–3 min. This is also consistent with the observation of the in vivo formation of subcellular protein aggregates, which are preceded by unfolding and misfolding events, can already be observed about 2 min after heat shock [7]. The relatively fast and transient kinetics of heat induced alarmone synthesis (Fig 1) would therefore be consistent with the time frame known from general heat mediated protein misfolding and the unfolding or misfolding of specific stress-sensor proteins during heat stress.
Our experiments demonstrate that Rel activation during heat- or oxidative stress can be inhibited by chloramphenicol, similarly as during amino acid starvation (Fig 1F and S1E Fig). Therefore, the underlying activation mechanisms during environmental stress likely share some similarities to the well-studied SR-activation upon amino acid deprivation and may also involve the sensing of uncharged tRNA on the ribosome [21,22,74,77].
The stress induced depletion of amino acids can result in the accumulation of uncharged tRNA, which serves as a signal to activate Rel. In addition, tRNAs and proteins of the translational machinery are prone to oxidation or modification upon stress, leading to translation stalling, which can also elicit the SR [78]. For example, oxidation of tRNAs at a conserved 4-thiouridine residue reduced the affinity for their cognate aminoacyl-tRNA synthetase, which was found to be the basis for the activation of the SR upon UV-exposure in S. enterica [79].
It is very likely that the heat stress signal is first sensed via unfolded proteins which might then be transmitted by specific tRNA to Rel on the ribosome by the various discussed possibilities. However, it cannot be excluded that e.g. Rel itself can act as a heat stress sensing protein on the ribosome, or that a heat stress sensing protein that interacts with Rel could be involved, as for example suggested for competence development in B. subtilis [80]. Clearly, more experiments are required to identify the molecular mechanism underlying the activation of Rel and the control of the SR during heat stress in B. subtilis.
The role of (p)ppGpp and SigB upon heat stress
Both the transcriptomic and the proteomic datasets also indicate a possible activation of the SigB-dependent general stress response by (p)ppGpp during stress- and non-stress conditions (Figs 3B and 6C, S5B, S7, S12 and S13 Figs). SigB becomes activated by decreased GTP levels as elicited by decoyinine [62,63]. In addition, a requirement of L11, which is necessary for Rel synthetase activity, and Obg, a ribosome-associated GTPase that interacts with (p)ppGpp, for the activation of SigB upon physical stress and an interaction of Obg with components of the SigB regulatory cascade was reported, suggesting an intricate connection between the ribosome, Rel and the activation of the general stress response [62,70,81].
The role of the SR during the heat stress response
Taken together, our data suggest a model in which cells respond to heat-mediated protein unfolding and aggregation, not only by raising the repair capacity, but also by decreasing translation to concurrently reduce the load on the cellular protein quality control systems (Fig 7).
Upon heat shock, Rel is activated and rapidly synthesizes alarmones. The second messenger (p)ppGpp can then directly control the activity of translation factors and may thereby mediate a fast and immediate response to modulate translation during stress. At the same time (p)ppGpp might play a significant role in maintaining and protecting active ribosomes, which might involve modulating translation already at the ribosome assembly stage. The readjustments of translation could then allow an efficient reallocation of cellular resources to the synthesis of stress response proteins and concurrently minimize the load on the protein quality control systems, thus contributing to protein homeostasis [3,82,83]. The unfolded protein response to misbalances in protein homeostasis in the endoplasmic reticulum of eukaryotic cells is a well-studied and analogous stress response mechanism where the up-regulation of chaperones is also coupled to the concurrent down-regulation of translation, albeit by different mechanisms [3,84].
It should be noted that lowering the cellular GTP level by treatment with decoyinine also resulted in a limited increase of thermoresistance in the absence of elevated alarmone levels. Similarly, it was reported that mutant strains of Lactococcus lactis with constitutively lowered GTP levels also exhibited increased stress tolerance [85]. These observations suggest, that a decrease in the cellular GTP concentration alone can reproduce many effects on the cellular physiology that can also be observed in the presence of (p)ppGpp. However, the heat stress resistance conferred by increased (p)ppGpp levels appeared to be stronger than observed upon decoyinine treatment, which could indicate that certain processes important for stress resistance are predominantly controlled by (p)ppGpp directly. Clearly, more work is required to identify and characterize the cellular targets of (p)ppGpp and to examine the differential roles of GTP and (p)ppGpp during thermotolerance development.
Interestingly, accumulation of (p)ppGpp upon heat or oxidative stress and its importance for stress resistance has also been reported in other Firmicutes and also Proteobacteria that differ widely in terms of (p)ppGpp signaling [49,74,77,86,87]. Accumulation of (p)ppGpp was shown to protect cells from salt or osmotic stress [85,88]. Conversely, the lack of (p)ppGpp is known to render cells sensitive to heat or oxidative stress [74,89,90], suggesting that activation of the SR, allowing the fast down-regulation of translation, is an important and conserved part of the response to environmental stress in bacteria. It is interesting to note that the SR was also implicated in B. subtilis competence development, facilitating a cellular state where cells cease to divide, and most transcription and translation is strongly down-regulated (also referred to as the K-state). In these cells, only competence proteins, together with DNA repair and recombination genes, are expressed, allowing the uptake and possible utilization of homologous DNA in this specific cellular state of a subpopulation of stationary phase cells [80]. Bacterial cells thus appear to utilize the (p)ppGpp second messengers, which can interfere directly with basic cellular processes such as translation, replication and growth, as an important part of different regulatory networks, facilitating and allowing the survival of bacterial cells in fast changing environments with limited nutrient availability and exposure to various stress conditions.
Methods
Construction of strains and plasmids
Strains, plasmids and primers are listed in S1 Table. PCR-amplification and molecular cloning using E. coli DH5α as host was carried out according to standard protocols [91]. Point mutations were introduced via overlap-extension PCR. To generate pBSII-spxDD-spec, a fragment carrying spxDD, lacI and the spectinomycin resistance cassette was amplified from pSN56 [15] with primers p289/p223 and ligated using SpeI/NsiI sites into the pBSIIE backbone amplified with primers p203/p288. Integrative plasmids were linearized by digestion with ScaI or BsaI prior to transformation. Point mutations in the rel gene were first cloned in the pMAD vector and then re-amplified for cloning into pDR111.
Transformation of B. subtilis strains, the generation of scarless mutations using the pMAD system and the introduction of cxs-1/2 mutations in rpoA was carried out as described previously [92–94]. Mutants were selected on 100 μg ml-1 spectinomycin, 10 μg ml-1 kanamycin, 1 μg ml-1 erythromycin, 25 μg ml-1 lincomycin or 5 μg ml-1 chloramphenicol, respectively. To obtain the (p)ppGpp° strain (BHS214), markerless relPE154V and relQE139V mutations were introduced into B. subtilis 168 cells by successive transformation and recombination of plasmids pMAD-relPE154V and pMAD-relQE139V, yielding strain BHS204. Next, a PCR amplified fragment carrying rel::erm [27] and flanking homologous regions was transformed to generate BHS214. Since the (p)ppGpp° strain fails to develop natural competence, additional mutations were introduced in BHS204 and transformed with a PCR-amplified rel::erm fragment or BHS214 genomic DNA in a second step.
Growth conditions
B. subtilis strains were grown in LB medium (5 g L-1 yeast extract, 10 g L-1 tryptone-peptone, 10 g L-1 NaCl) or minimal medium [95] supplemented with 0.5% casamino acids in water baths with 200 rpm orbital shaking at the desired temperatures. 1 mM IPTG or 0.4% xylose was supplemented if required.
Survival and viability assays
The assays for thermotolerance development, survival and preparation of protein aggregate are described previously [9]. 1 mM IPTG was added to induce expression of recombinant proteins 30 min before the division of the culture. The influence of decoyinine on thermotolerance was tested in 1.5 mL tubes in a ThermoMixer (Eppendorf). Detection of aggregates by fluorescence microscopy was described previously in [48]. Spot colony formation assays were carried out as described previously and incubated at the indicated temperatures [17].
Transcription analysis
Strains were grown in LB and treated as indicated. Samples of 15–25 mL were harvested by centrifugation for 3 min at 3,860 x g at 4 °C and frozen in liquid nitrogen. Isolation of total RNA, treatment with DNase I (NEB) and quality control by native agarose gel electrophoresis, methylene blue staining and northern blotting was described previously [17]. Northern blotting, hybridization with DIG-labeled RNA probes and detection was carried out as described previously [17]. Primers for the synthesis of probes are listed in S1 Table. Reverse transcription and qPCR were carried out as described previously [17]. The primers are listed in S1 Table. 23 S rRNA was used as a reference.
RNA sequencing
Cells of BHS220, BHS319 and BHS368 were grown in 150 mL LB medium in 500 mL flasks in water baths at 37 °C and 200 rpm. In the mid-exponential phase (OD600 nm ~ 0.4), the culture was divided and shifted to 48 °C or left at 37 °C. After 15 min, samples were withdrawn and both cultures were shifted to 53 °C for another 15 min and harvested. Cells from 25 mL medium were pelleted by centrifugation for 3 min at 3,860 x g and 4 °C and flash-frozen in liquid nitrogen. RNA was prepared the using phenol/trizol method as described in [96] and treated with TURBO DNase (Invitrogen). RNA quality was assessed on a Bioanalyzer 2100 System (Agilent).
rRNA depletion from total RNA using MICROBExpress (Ambion), treatment with tobacco acid pyrophosphatase (TAP) for +TAP libraries, library preparation, Illumina sequencing and quality control of the sequencing output was carried out as described previously [97]. Reads were mapped to the Bacillus subtils 168 genome with insertion of rrnJp1-lacZ in the amyE site (strain BHS220, amyE::rrnJp1-lacZ cat) using Bowtie2 (version 2.1.0) reads [98] with default parameters and filtered for uniquely mapped reads using SAMtools [99]. The DEseq2 package with default parameters was used for the detection of differentially expressed genes from raw count data of triplicate experiments [100]. Expression changes were considered significant if differentially regulated by at least 4-fold (p-value ≤ 0.05). The data have been deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO Series accession number GSE125467 [101]. Transcription start sites were annotated from the comparison of rRNA-depleted, tobacco acid pyrophosphatase (TAP) treated libraries that allow adaptor-ligation to 5’ primary transcripts and libraries, where TAP treatment was omitted using the TSSpredator v1.06 software [102] in the “more sensitive” parameter preset and manually reviewed.
In vitro transcription
In vitro transcription assays using purified B. subtilis RNA polymerase and Spx protein was carried out as described previously [17].
Fluorescence microscopy
Strain BIH369 (lacA::Pxyl-yocM-mCherry erm) was grown in LB medium + 0.5% xylose. The culture was divided in the mid-exponential phase, supplemented with puromycin for 15 min and subjected to fluorescence microscopy in a Axio Imager.Z2 (Zeiss) microscope using the RFP filter set [17].
SDS PAGE and western blotting
Strains were grown in LB medium and treated as indicated, harvested by centrifugation for 5 min at 3,860 x g at 4 °C, washed in TE buffer (10 mM TRIS-HCl, 1 mM EDTA, pH 8.0) and disrupted by sonication in TE supplemented with 1 mM PMSF. Equal amounts of protein were separated by SDS-PAGE and stained with coomassie or subjected to western blotting [103–105]. For signal detection, polyclonal α-Hpf antibody (1:5,000) [71] or monoclonal anti-puromycin antibody (1:10,000, Merck) and HRP-conjugated anti-mouse or anti-rabbit antibodies (1:10,000, Roth) were used in conjunction with the ECL-system as described previously [17]. Images were acquired using a ChemoStar Imaging System (Intas, Göttingen, Germany).
Translation rate analysis
Puromycin becomes covalently incorporated into nascent peptide chains, which can be used as readout for the rate of translation [67,106,107]. We verified that low puromycin concentrations (1 μg mL-1) do not perturb growth or lead to the accumulation of misfolded proteins in cellular protein aggregates, which can be visualized as using the previously established YocM-mCherrry fusion protein (S10A–S10C Fig) [48,108]. Strains were grown in LB medium and treated as indicated. For in vivo labeling, 10 mL medium were separated, supplemented with 1 μg mL-1 puromycin (Roth) and incubated for 15 min at the same conditions. Then, samples were supplemented with 25 μg mL-1 chloramphenicol, harvested by centrifugation for 5 min at 3,860 x g at 4 °C, washed in TE buffer (10 mM TRIS-HCl, 1 mM EDTA, pH 8.0) and disrupted by sonication in TE supplemented with 1 mM PMSF. Equal amounts of protein were directly spotted on nitrocellulose membranes (5 μg) or subjected to SDS-PAGE and western blotting [91]. Puromycin-signals were detected using monoclonal anti-puromycin antibody (1:10,000, Merck), HRP-conjugated anti-mouse antibody (1:10,000, Roth) and the ECL-system in a ChemoStar imaging system (Intas, Göttingen, Germany). Signals were analyzed using Fiji distribution of ImageJ [109].
Sucrose density gradient centrifugation analysis
Early exponential phase cultures of B. subtilis strains grown in LB medium were treated with heat shock at 48 °C or 48 °C/53 °C for 15 min each. Samples of 50 mL were supplemented with 50 μg mL-1 chloramphenicol to stall translation and harvested by centrifugation at 4,000 x g for 10 min at 4 °C. Cells were resuspended in 25 mM HEPES-KOH, pH 7.5, 150 mM KOAc, 25 mM Mg(OAc)2, 1 mM dithiothreitol (DTT), n-Decyl−β−D-thiomaltopyranoside (DTM), 5% (w/v) sucrose) and lysed by sonication. The lysate was cleared by centrifugation at 16,000 x g for 15 min at 4 °C. 10 OD260 units were loaded on a 10 mL 5–45% (w/v) sucrose gradient prepared in the same buffer, run in a SW-40 Ti rotor (Beckman Coulter) at 57,471 x g for 16.5 h and analyzed using a Gradient Station (Biocomp) with an Econo UV Monitor (Bio-Rad).
Quantification of nucleotides
Cells were grown in minimal medium supplemented with 0.5% casamino acids to support the growth of (p)ppGpp deficient strains [60] and treated as indicated. Samples of 2 mL were removed, supplemented with 75 μL 100% formic acid and incubated on ice for 30 min. Extraction of nucleotides was carried out as described in [110] and detected by HPLC-ESI-MS/MS on a QTRAP 5500 instrument. Analytes were separated on a Hypercarb column (30 x 4.6 mm, 5 μm particle size) in a linear gradient of solvent A (10 mM ammonium acetate pH 10) and solvent B (acetonitrile) at a flow rate of 0.6 mL/min from 96% A + 4% B (0 min) to 40% A + 60% B (8 min) into the ESI ion source at 4.5 kV in positive ion mode. Tenofovir was used as internal standard. pGpp and pppGpp standards were synthesized in vitro from ATP and GTP or GMP as described previously [111]. ppGpp was purchased from Trilink Biotechnologies.
Identification and quantification of proteins by mass spectrometry
Strains were grown in LB medium at 37 °C and 200 rpm to the mid-exponential phase (OD600nm 0.4) and transferred to a 50 °C water bath. Samples were taken at before, 5 min and 15 min after the temperature shift and washed three times in 50 mM HEPES pH 8, 150 mM NaCl. Three biological replicates were analyzed. All samples were subjected to SP3 sample preparation [112]. Briefly, to each sample 4x lysis buffer was added (4% SDS, 40 mM TCEP, 160 mM chloroacetamide, 200 mM HEPES pH 8) and proteins were denatured, reduced and alkylated during incubation at 95 °C for 5 minutes. 0.8 μL Benzonase (NEB) was added and samples were incubated at 37 °C for 30 minutes. Ten μg of a 1:1 mixture of hydrophilic and hydrophobic carboxyl-coated paramagnetic beads (SeraMag, #24152105050250 and #44152105050250, GE Healtcare) were added for each μg of protein. Protein binding was induced by addition of acetonitrile to a final concentration of 50% (v/v). Samples were incubated for 10 minutes at room temperature. The tubes were placed on a magnetic rack and beads were allowed to settle for three minutes. The supernatant was discarded and beads were rinsed three times with 200 μL of 80% ethanol without removing the tubes from the rack. Beads were resuspended in digestion buffer containing 50 mM triethylammonium bicarbonate and both Trypsin (Serva) and Lys-C (Wako) in a 1:50 enzyme to protein ratio. Protein digestion was carried out for 14 hours at 37°C in a PCR cycler. Afterwards the supernatant was recovered and 1 μL was used to perform peptide quantification using a quantitative colorimetric peptide assay (Pierce, #23275) following the manufacturer’s instructions.
TMT 11plex (Pierce, #A37725) was used for peptide multiplexing and quantification. Briefly, equal amounts of peptides were dried down in a vacuum concentrator and resuspended in 50 mM HEPES pH 8.5. Additionally, 10% from each sample was pooled to create a common sample as internal standard. TMT reagents were allowed to equilibrate to room temperature for 30 minutes and were dissolved in anhydrous acetonitrile to a final concentration of 59 mM. To each sample TMT was added to a final concentration of 11.8 mM and tubes were incubated at 25°C for 60 minutes with mixing at 500 rpm on a ThermoMixer. Labeling was quenched by addition of hydroxylamine to a final concentration of 0.4%. Samples were mixed, desalted using solid phase extraction (Seppak 1cc/50mg, Waters), dried down in a vacuum concentrator and resuspended in 20 μL 2% acetonitrile. Basic reversed phase fractionation was performed on a quaternary Agilent 1290 Infinity II UPLC system equipped with a Kinetex Evo-C18 column (150 x 2.1 mm, 2.6μm, 100 Å, Phenomenex) that was operated at 40 °C. Solvent A consisted of water, solvent B consisted of 100% acetonitrile, and solvent C consisted of 25 mM ammonium bicarbonate. Fractionation was carried out at a constant flow rate of 100 μl/min using a linear gradient from 2–25% acetonitrile within 50 minutes, followed by column washing and equilibration. Over the whole gradient solvent C was kept constant at 10%. In total 32 fractions were collected in conical 96well plates. The organic solvent was removed in a vacuum concentrator for one hour and fractions were combined into 8 final samples. Peptides were acidified with formic acid, desalted using OASIS HLB 96well cartridges (Waters, #186001828BA), dried down and resuspended in 2% acetonitrile, 0.1% trifluoroacetic acid (TFA) prior MS analysis.
All samples were analyzed on a Q-Exactive HF (Thermo Scientific) that was coupled to a 3000 RSLC nano UPLC (Thermo Scientific). Samples were loaded on a pepmap trap cartridge (300 μm i.d. x 5 mm, C18, Thermo) with 2% acetonitrile, 0.1% TFA at a flow rate of 20 μL/min. Peptides were separated over a 50 cm analytical column (Picofrit, 360 μm O.D., 75 μm I.D., 10 μm tip opening, non-coated, New Objective) that was packed in-house with Poroshell 120 EC-C18, 2.7 μm (Agilent). Solvent A consists of 0.1% formic acid in water. Elution was carried out at a constant flow rate of 250 nL/min using a 180 minute method: 8–33% solvent B (0.1% formic acid in 80% acetonitrile) within 120 minutes, 33–48% solvent B within 25 minutes, 48–98% buffer B within 1 minute, followed by column washing and equilibration. Data acquisition on the Q-Exactive HF was carried out using a data-dependent method in positive ion mode. MS survey scans were acquired from 375–1500 m/z in profile mode at a resolution of 120,000. AGC target was set to 3e6 charges at a maximum injection time of 60 ms. The ten most abundant peptides were isolated within a 0.7 m/z window offset by +0.1 m/z and subjected to HCD fragmentation at a normalized collision energy of 32%. The MS2 AGC target was set to 2e5 charges, allowing a maximum injection time of 78 ms. Product ions were detected in the Orbitrap at a resolution of 45,000. Precursors were dynamically excluded for 30 s.
Raw files were processed with Proteome Discoverer 2.3 (Thermo Scientific). Briefly, peak lists were extracted from raw files and searched using SEQUEST HT against a Uniprot bacillus subtilis database (version 190614, taxonomy ID 224308) and a database containing sequences of common contaminants (derived from Maxquant v.1.6.0.1). Trypsin/p was set as enzyme specificity, allowing a maximum of two missed cleavages. The minimum peptide length was set to 7 amino acids. Carbamidomethylation on cysteine was set as fixed modification. Protein N-terminal acetylation, oxidation of methionine, and TMT on lysines and peptide n-termini were allowed as variable modifications. Mass tolerances for MS1 and MS2 were set to 10 ppm and 0.02 Da, respectively. Peptide-spectrum-matches (PSMs) were filtered to a 1% FDR level using Percolator employing a target/decoy approach. Only rank 1 peptides were allowed. TMT reporter ion intensities were quantified within 20 ppm windows and quan value correction was used to correct for reagent isotope impurities. Only unique peptides were used for protein quantification. PSM with a co-isolation value of >50% were rejected. Further data processing was carried out in R and Perseus (v. 1.6.2.3). Only proteins identified with at least two peptides were included in the analysis. All contaminant proteins and proteins that have not been quantified in all 18 samples were filtered out. A three step normalization procedure was applied. First, the sum of the reporter ion intensities for each TMT channel was normalized to the average grand total to correct for mixing errors. Next, the common internal standard in each TMT 11plex set was used for internal reference scaling [113] in order to correct for batch effects. Afterwards the data was normalized applying trimmed mean of M values (TMM) using the edgeR package. Statistical analysis was performed using two-sample t-tests and multiple sample ANOVA tests. Resulting p-values were corrected for multiple testing using a permutation-based FDR approach or by the method of Benjamini-Hochberg. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [114] partner repository with the dataset identifier PXD015416.
Gene set enrichment analysis
A gene set enrichment analysis (GSEA) of the significantly regulated genes or proteins was carried out on the Category (SW1 to SW4) and regulon datasets provided by SubtiWiki (http://subtiwiki.uni-goettingen.de/v3/category/) [115]. The GNU R software v. 3.5.1 [116] and the clusterProfiler library v. 3.10.1 [117] was used. P values were adjusted according to the Benjamini-Hochberg (BH) method and Padjust ≤ 0.05 was set as significance threshold.
Supporting information
S1 Fig [a]
Alarmone and GTP levels during stress and starvation.
S2 Fig [a]
Phenotype of single deletions of (p)ppGpp synthetase genes.
S3 Fig [a]
Thermotolerance and survival of strains expressing variants .
S4 Fig [tiff]
Thermotolerance and survival of strains expressing treated with decoyinine.
S5 Fig [a]
Transcriptional changes mediated by changed (p)ppGpp levels or heat stress.
S6 Fig [tiff]
Up- or down-regulation of regulons or gene categories.
S7 Fig [a]
(p)ppGpp mediated transcriptional changes during heat stress.
S8 Fig [a]
Phenotypes of (p)ppGpp°, Δ and (p)ppGpp° Δ strains.
S9 Fig [a]
(p)ppGpp and Spx act independently.
S10 Fig [a]
Puromyin labels nascent proteins and does not disturb protein homeostasis at low concentration.
S11 Fig [a]
Growth and thermotolerance development of Δ cells.
S12 Fig [tiff]
The influence of (p)ppGpp on individual protein levels upon heat treatment.
S13 Fig [tiff]
Global changes in the proteome mediated by heat shock or (p)ppGpp.
S14 Fig [a]
The role of (p)ppGpp and Hpf on ribosome integrity and 100S formation.
S1 Table [docx]
List of strains, plasmids and oligonucleotides.
S1 Dataset [xlsx]
List of identified transcription start sites.
S2 Dataset [xlsx]
Results of the gene set enrichment analysis.
S3 Dataset [xlsx]
List of differentially expressed genes.
S4 Dataset [xlsx]
List of differentially regulated proteins.
S5 Dataset [xlsx]
Enrichment analysis for differentially expressed proteins.
Zdroje
1. Storz G, Hengge R, American Society for Microbiology, editors. Bacterial stress responses. 2nd ed. Washington, DC: ASM Press; 2011.
2. Mogk A, Huber D, Bukau B. Integrating protein homeostasis strategies in prokaryotes. Cold Spring Harb Perspect Biol. 2011;3. doi: 10.1101/cshperspect.a004366 21441580
3. Hartl FU, Bracher A, Hayer-Hartl M. Molecular chaperones in protein folding and proteostasis. Nature. 2011;475: 324–332. doi: 10.1038/nature10317 21776078
4. Lindquist S. The Heat-Shock Response. Annual Review of Biochemistry. 1986;55: 1151–1191. doi: 10.1146/annurev.bi.55.070186.005443 2427013
5. Lim B, Gross CA. Cellular Response to Heat Shock and Cold Shock. In: Storz G, Hengge R, editors. Bacterial stress responses 2nd edition. Washington, DC: ASM press, American Society for Microbiology; 2010. pp. 93–114.
6. Helmann JD, Wu MF, Kobel PA, Gamo FJ, Wilson M, Morshedi MM, et al. Global transcriptional response of Bacillus subtilis to heat shock. J Bacteriol. 2001;183: 7318–7328. doi: 10.1128/JB.183.24.7318-7328.2001 11717291
7. Winkler J, Seybert A, Konig L, Pruggnaller S, Haselmann U, Sourjik V, et al. Quantitative and spatio-temporal features of protein aggregation in Escherichia coli and consequences on protein quality control and cellular ageing. EMBO J. 2010;29: 910–23. doi: 10.1038/emboj.2009.412 20094032
8. Völker U, Mach H, Schmid R, Hecker M. Stress proteins and cross-protection by heat shock and salt stress in Bacillus subtilis. J Gen Microbiol. 1992;138: 2125–2135. doi: 10.1099/00221287-138-10-2125 1362210
9. Runde S, Molière N, Heinz A, Maisonneuve E, Janczikowski A, Elsholz AKW, et al. The role of thiol oxidative stress response in heat-induced protein aggregate formation during thermotolerance in B acillus subtilis: Thiol oxidation in protein aggregate formation. Molecular Microbiology. 2014;91: 1036–1052.
10. Hecker M, Schumann W, Völker U. Heat-shock and general stress response in Bacillus subtilis. Molecular microbiology. 1996;19: 417–428. doi: 10.1046/j.1365-2958.1996.396932.x 8830234
11. Mogk A, Homuth G, Scholz C, Kim L, Schmid FX, Schumann W. The GroE chaperonin machine is a major modulator of the CIRCE heat shock regulon of Bacillus subtilis. EMBO J. 1997;16: 4579–4590. doi: 10.1093/emboj/16.15.4579 9303302
12. Krüger E, Hecker M. The first gene of the Bacillus subtilis clpC operon, ctsR, encodes a negative regulator of its own operon and other class III heat shock genes. J Bacteriol. 1998;180: 6681–6688. 9852015
13. Elsholz AKW, Michalik S, Zühlke D, Hecker M, Gerth U. CtsR, the Gram-positive master regulator of protein quality control, feels the heat. The EMBO Journal. 2010;29: 3621–3629. doi: 10.1038/emboj.2010.228 20852588
14. Hecker M, Pané-Farré J, Völker U. SigB-Dependent General Stress Response in Bacillus subtilis and Related Gram-Positive Bacteria. Annual Review of Microbiology. 2007;61: 215–236. doi: 10.1146/annurev.micro.61.080706.093445 18035607
15. Nakano S, Küster-Schöck E, Grossman AD, Zuber P. Spx-dependent global transcriptional control is induced by thiol-specific oxidative stress in Bacillus subtilis. Proc Natl Acad Sci USA. 2003;100: 13603–13608. doi: 10.1073/pnas.2235180100 14597697
16. Rochat T, Nicolas P, Delumeau O, Rabatinová A, Korelusová J, Leduc A, et al. Genome-wide identification of genes directly regulated by the pleiotropic transcription factor Spx in Bacillus subtilis. Nucleic Acids Res. 2012;40: 9571–9583. doi: 10.1093/nar/gks755 22904090
17. Schäfer H, Heinz A, Sudzinová P, Voß M, Hantke I, Krásný L, et al. Spx, the central regulator of the heat and oxidative stress response in B. subtilis, can repress transcription of translation-related genes. Mol Microbiol. 2019;111: 514–533. doi: 10.1111/mmi.14171 30480837
18. Leichert LIO, Scharf C, Hecker M. Global characterization of disulfide stress in Bacillus subtilis. J Bacteriol. 2003;185: 1967–1975. doi: 10.1128/JB.185.6.1967-1975.2003 12618461
19. Potrykus K, Cashel M. (p)ppGpp: still magical? Annu Rev Microbiol. 2008;62: 35–51. doi: 10.1146/annurev.micro.62.081307.162903 18454629
20. Hauryliuk V, Atkinson GC, Murakami KS, Tenson T, Gerdes K. Recent functional insights into the role of (p)ppGpp in bacterial physiology. Nat Rev Microbiol. 2015;13: 298–309. doi: 10.1038/nrmicro3448 25853779
21. Haseltine WA, Block R. 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 USA. 1973;70: 1564–1568. doi: 10.1073/pnas.70.5.1564 4576025
22. Wendrich TM, Blaha G, Wilson DN, Marahiel MA, Nierhaus KH. Dissection of the Mechanism for the Stringent Factor RelA. Molecular Cell. 2002;10: 779–788. doi: 10.1016/s1097-2765(02)00656-1 12419222
23. Arenz S, Abdelshahid M, Sohmen D, Payoe R, Starosta AL, Berninghausen O, et al. The stringent factor RelA adopts an open conformation on the ribosome to stimulate ppGpp synthesis. Nucleic Acids Res. 2016;44: 6471–6481. doi: 10.1093/nar/gkw470 27226493
24. Brown A, Fernández IS, Gordiyenko Y, Ramakrishnan V. Ribosome-dependent activation of stringent control. Nature. 2016;534: 277–280. doi: 10.1038/nature17675 27279228
25. Loveland AB, Bah E, Madireddy R, Zhang Y, Brilot AF, Grigorieff N, et al. Ribosome•RelA structures reveal the mechanism of stringent response activation. Elife. 2016;5. doi: 10.7554/eLife.17029 27434674
26. Atkinson GC, Tenson T, Hauryliuk V. The RelA/SpoT Homolog (RSH) Superfamily: Distribution and Functional Evolution of ppGpp Synthetases and Hydrolases across the Tree of Life. Stiller JW, editor. PLoS ONE. 2011;6: e23479. doi: 10.1371/journal.pone.0023479 21858139
27. Wendrich TM, Marahiel MA. Cloning and characterization of a relA/spoT homologue from Bacillus subtilis. Mol Microbiol. 1997;26: 65–79. doi: 10.1046/j.1365-2958.1997.5511919.x 9383190
28. Nanamiya H, Kasai K, Nozawa A, Yun C-S, Narisawa T, Murakami K, et al. Identification and functional analysis of novel (p)ppGpp synthetase genes in Bacillus subtilis. Mol Microbiol. 2008;67: 291–304. doi: 10.1111/j.1365-2958.2007.06018.x 18067544
29. Srivatsan A, Han Y, Peng J, Tehranchi AK, Gibbs R, Wang JD, et al. High-precision, whole-genome sequencing of laboratory strains facilitates genetic studies. PLoS Genet. 2008;4: e1000139. doi: 10.1371/journal.pgen.1000139 18670626
30. Boutte CC, Crosson S. Bacterial lifestyle shapes stringent response activation. Trends Microbiol. 2013;21: 174–180. doi: 10.1016/j.tim.2013.01.002 23419217
31. Irving SE, Corrigan RM. Triggering the stringent response: signals responsible for activating (p)ppGpp synthesis in bacteria. Microbiology. 2018;164: 268–276. doi: 10.1099/mic.0.000621 29493495
32. Lopez JM, Dromerick A, Freese E. Response of guanosine 5’-triphosphate concentration to nutritional changes and its significance for Bacillus subtilis sporulation. J Bacteriol. 1981;146: 605–613. 6111556
33. Kriel A, Bittner AN, Kim SH, Liu K, Tehranchi AK, Zou WY, et al. Direct regulation of GTP homeostasis by (p)ppGpp: a critical component of viability and stress resistance. Mol Cell. 2012;48: 231–241. doi: 10.1016/j.molcel.2012.08.009 22981860
34. Krásný L, Gourse RL. An alternative strategy for bacterial ribosome synthesis: Bacillus subtilis rRNA transcription regulation. EMBO J. 2004;23: 4473–4483. doi: 10.1038/sj.emboj.7600423 15496987
35. Krásný L, Tišerová H, Jonák J, Rejman D, Šanderová H. The identity of the transcription +1 position is crucial for changes in gene expression in response to amino acid starvation in Bacillus subtilis. Molecular Microbiology. 2008;69: 42–54. doi: 10.1111/j.1365-2958.2008.06256.x 18433449
36. Geiger T, Wolz C. Intersection of the stringent response and the CodY regulon in low GC Gram-positive bacteria. Int J Med Microbiol. 2014;304: 150–155. doi: 10.1016/j.ijmm.2013.11.013 24462007
37. Ratnayake-Lecamwasam M, Serror P, Wong KW, Sonenshein AL. Bacillus subtilis CodY represses early-stationary-phase genes by sensing GTP levels. Genes Dev. 2001;15: 1093–1103. doi: 10.1101/gad.874201 11331605
38. Milon P, Tischenko E, Tomsic J, Caserta E, Folkers G, La Teana A, et al. The nucleotide-binding site of bacterial translation initiation factor 2 (IF2) as a metabolic sensor. Proc Natl Acad Sci USA. 2006;103: 13962–13967. doi: 10.1073/pnas.0606384103 16968770
39. Corrigan RM, Bellows LE, Wood A, Gründling A. ppGpp negatively impacts ribosome assembly affecting growth and antimicrobial tolerance in Gram-positive bacteria. Proc Natl Acad Sci USA. 2016;113: E1710–1719. doi: 10.1073/pnas.1522179113 26951678
40. Steinchen W, Bange G. The magic dance of the alarmones (p)ppGpp: The structural biology of the alarmones (p)ppGpp. Molecular Microbiology. 2016;101: 531–544.
41. Vinogradova DS, Zegarra V, Maksimova E, Nakamoto JA, Kasatsky P, Paleskava A, et al. How the initiating ribosome copes with ppGpp to translate mRNAs. PLoS Biol. 2020;18: e3000593. doi: 10.1371/journal.pbio.3000593 31995552
42. Kanjee U, Ogata K, Houry WA. Direct binding targets of the stringent response alarmone (p)ppGpp: Protein targets of ppGpp. Molecular Microbiology. 2012;85: 1029–1043. doi: 10.1111/j.1365-2958.2012.08177.x 22812515
43. Zhang Y, Zborníková E, Rejman D, Gerdes K. Novel (p)ppGpp Binding and Metabolizing Proteins of Escherichia coli. MBio. 2018;9. doi: 10.1128/mBio.02188-17 29511080
44. Wang B, Dai P, Ding D, Del Rosario A, Grant RA, Pentelute BL, et al. Affinity-based capture and identification of protein effectors of the growth regulator ppGpp. Nat Chem Biol. 2019;15: 141–150. doi: 10.1038/s41589-018-0183-4 30559427
45. Bokinsky G, Baidoo EEK, Akella S, Burd H, Weaver D, Alonso-Gutierrez J, et al. HipA-triggered growth arrest and β-lactam tolerance in Escherichia coli are mediated by RelA-dependent ppGpp synthesis. J Bacteriol. 2013;195: 3173–3182. doi: 10.1128/JB.02210-12 23667235
46. Dalebroux ZD, Swanson MS. ppGpp: magic beyond RNA polymerase. Nat Rev Microbiol. 2012;10: 203–212. doi: 10.1038/nrmicro2720 22337166
47. Mostertz J, Scharf C, Hecker M, Homuth G. Transcriptome and proteome analysis of Bacillus subtilis gene expression in response to superoxide and peroxide stress. Microbiology (Reading, Engl). 2004;150: 497–512.
48. Hantke I, Schäfer H, Janczikowski A, Turgay K. YocM a small heat shock protein can protect Bacillus subtilis cells during salt stress. Mol Microbiol. 2019;111: 423–440. doi: 10.1111/mmi.14164 30431188
49. Gaca AO, Kudrin P, Colomer-Winter C, Beljantseva J, Liu K, Anderson B, et al. From (p)ppGpp to (pp)pGpp: Characterization of Regulatory Effects of pGpp Synthesized by the Small Alarmone Synthetase of Enterococcus faecalis. J Bacteriol. 2015;197: 2908–2919. doi: 10.1128/JB.00324-15 26124242
50. Hecker M, Völker U, Heim C. RelA-independent (p)ppGpp accumulation and heat shock protein induction after salt stress in Bacillus subtilis. FEMS Microbiology Letters. 1989;58: 125–128. doi: 10.1111/j.1574-6968.1989.tb03031.x
51. Pöther D-C, Liebeke M, Hochgräfe F, Antelmann H, Becher D, Lalk M, et al. Diamide triggers mainly S Thiolations in the cytoplasmic proteomes of Bacillus subtilis and Staphylococcus aureus. J Bacteriol. 2009;191: 7520–7530. doi: 10.1128/JB.00937-09 19837798
52. Drzewiecki K, Eymann C, Mittenhuber G, Hecker M. The yvyD gene of Bacillus subtilis is under dual control of sigmaB and sigmaH. J Bacteriol. 1998;180: 6674–6680. 9852014
53. Tagami K, Nanamiya H, Kazo Y, Maehashi M, Suzuki S, Namba E, et al. Expression of a small (p)ppGpp synthetase, YwaC, in the (p)ppGpp(0) mutant of Bacillus subtilis triggers YvyD-dependent dimerization of ribosome. Microbiologyopen. 2012;1: 115–134. doi: 10.1002/mbo3.16 22950019
54. Cashel M. The Control of Ribonucleic Acid Synthesis in Escherichia coli : IV. RELEVANCE OF UNUSUAL PHOSPHORYLATED COMPOUNDS FROM AMINO ACID-STARVED STRINGENT STRAINS. Journal of Biological Chemistry. 1969;244: 3133–3141. 4893338
55. Schreiber G, Metzger S, Aizenman E, Roza S, Cashel M, Glaser G. Overexpression of the relA gene in Escherichia coli. J Biol Chem. 1991;266: 3760–3767. 1899866
56. Nouri H, Monnier A-F, Fossum-Raunehaug S, Maciag-Dorszynska M, Cabin-Flaman A, Képès F, et al. Multiple links connect central carbon metabolism to DNA replication initiation and elongation in Bacillus subtilis. DNA Res. 2018. doi: 10.1093/dnares/dsy031 30256918
57. Lopez JM, Marks CL, Freese E. The decrease of guanine nucleotides initiates sporulation of Bacillus subtilis. Biochim Biophys Acta. 1979;587: 238–252. doi: 10.1016/0304-4165(79)90357-x 114234
58. Tojo S, Satomura T, Kumamoto K, Hirooka K, Fujita Y. Molecular Mechanisms Underlying the Positive Stringent Response of the Bacillus subtilis ilv-leu Operon, Involved in the Biosynthesis of Branched-Chain Amino Acids. J Bacteriol. 2008;190: 6134–6147. doi: 10.1128/JB.00606-08 18641142
59. Tojo S, Kumamoto K, Hirooka K, Fujita Y. Heavy involvement of stringent transcription control depending on the adenine or guanine species of the transcription initiation site in glucose and pyruvate metabolism in Bacillus subtilis. J Bacteriol. 2010;192: 1573–1585. doi: 10.1128/JB.01394-09 20081037
60. Kriel A, Brinsmade SR, Tse JL, Tehranchi AK, Bittner AN, Sonenshein AL, et al. GTP Dysregulation in Bacillus subtilis Cells Lacking (p)ppGpp Results in Phenotypic Amino Acid Auxotrophy and Failure To Adapt to Nutrient Downshift and Regulate Biosynthesis Genes. Journal of Bacteriology. 2014;196: 189–201. doi: 10.1128/JB.00918-13 24163341
61. Eymann C, Homuth G, Scharf C, Hecker M. Bacillus subtilis functional genomics: global characterization of the stringent response by proteome and transcriptome analysis. J Bacteriol. 2002;184: 2500–2520. doi: 10.1128/JB.184.9.2500-2520.2002 11948165
62. Zhang S, Haldenwang WG. RelA is a component of the nutritional stress activation pathway of the Bacillus subtilis transcription factor sigma B. J Bacteriol. 2003;185: 5714–5721. doi: 10.1128/JB.185.19.5714-5721.2003 13129942
63. Zhang S, Haldenwang WG. Contributions of ATP, GTP, and redox state to nutritional stress activation of the Bacillus subtilis sigmaB transcription factor. J Bacteriol. 2005;187: 7554–7560. doi: 10.1128/JB.187.22.7554-7560.2005 16267279
64. Molière N, Hoßmann J, Schäfer H, Turgay K. Role of Hsp100/Clp Protease Complexes in Controlling the Regulation of Motility in Bacillus subtilis. Front Microbiol. 2016;7: 315. doi: 10.3389/fmicb.2016.00315 27014237
65. Paget MSB, Molle V, Cohen G, Aharonowitz Y, Buttner MJ. Defining the disulphide stress response in Streptomyces coelicolor A3(2): identification of the sigmaR regulon. Molecular Microbiology. 2001;42: 1007–1020. doi: 10.1046/j.1365-2958.2001.02675.x 11737643
66. Gaca AO, Abranches J, Kajfasz JK, Lemos JA. Global transcriptional analysis of the stringent response in Enterococcus faecalis. Microbiology (Reading, Engl). 2012;158: 1994–2004.
67. Schmidt EK, Clavarino G, Ceppi M, Pierre P. SUnSET, a nonradioactive method to monitor protein synthesis. Nat Methods. 2009;6: 275–277. doi: 10.1038/nmeth.1314 19305406
68. Svitil AL, Cashel M, Zyskind JW. Guanosine tetraphosphate inhibits protein synthesis in vivo. A possible protective mechanism for starvation stress in Escherichia coli. J Biol Chem. 1993;268: 2307–2311. 8428905
69. Diez S, Ryu J, Caban K, Gonzalez RL, Dworkin J. (p)ppGpp directly regulates translation initiation during entry into quiescence. bioRxiv. 2019; 807917. doi: 10.1101/807917
70. Zhang S, Scott JM, Haldenwang WG. Loss of ribosomal protein L11 blocks stress activation of the Bacillus subtilis transcription factor sigma(B). J Bacteriol. 2001;183: 2316–2321. doi: 10.1128/JB.183.7.2316-2321.2001 11244072
71. Beckert B, Abdelshahid M, Schäfer H, Steinchen W, Arenz S, Berninghausen O, et al. Structure of the Bacillus subtilis hibernating 100S ribosome reveals the basis for 70S dimerization. EMBO J. 2017;36: 2061–2072. doi: 10.15252/embj.201696189 28468753
72. Trinquier A, Ulmer JE, Gilet L, Figaro S, Hammann P, Kuhn L, et al. tRNA Maturation Defects Lead to Inhibition of rRNA Processing via Synthesis of pppGpp. Molecular Cell. 2019;0. doi: 10.1016/j.molcel.2019.03.030 31003868
73. Engman J, von Wachenfeldt C. Regulated protein aggregation: a mechanism to control the activity of the ClpXP adaptor protein YjbH. Mol Microbiol. 2015;95: 51–63. doi: 10.1111/mmi.12842 25353645
74. Fitzsimmons LF, Liu L, Kim J-S, Jones-Carson J, Vázquez-Torres A. Salmonella Reprograms Nucleotide Metabolism in Its Adaptation to Nitrosative Stress. Aballay A, editor. mBio. 2018;9: e00211–18. doi: 10.1128/mBio.00211-18 29487237
75. Hyduke DR, Jarboe LR, Tran LM, Chou KJY, Liao JC. Integrated network analysis identifies nitric oxide response networks and dihydroxyacid dehydratase as a crucial target in Escherichia coli. Proceedings of the National Academy of Sciences. 2007;104: 8484–8489. doi: 10.1073/pnas.0610888104 17494765
76. Richardson AR, Payne EC, Younger N, Karlinsey JE, Thomas VC, Becker LA, et al. Multiple Targets of Nitric Oxide in the Tricarboxylic Acid Cycle of Salmonella enterica Serovar Typhimurium. Cell Host & Microbe. 2011;10: 33–43. doi: 10.1016/j.chom.2011.06.004 21767810
77. Gallant J, Palmer L, Pao CC. Anomalous synthesis of ppGpp in growing cells. Cell. 1977;11: 181–185. doi: 10.1016/0092-8674(77)90329-4 326415
78. Katz A, Orellana O. Protein Synthesis and the Stress Response. In: Biyani M, editor. Cell-Free Protein Synthesis. InTech; 2012.
79. Kramer GF, Baker JC, Ames BN. Near-UV stress in Salmonella typhimurium: 4-thiouridine in tRNA, ppGpp, and ApppGpp as components of an adaptive response. J Bacteriol. 1988;170: 2344–2351. doi: 10.1128/jb.170.5.2344-2351.1988 3283108
80. Hahn J, Tanner AW, Carabetta VJ, Cristea IM, Dubnau D. ComGA-RelA interaction and persistence in the Bacillus subtilis K-state. Mol Microbiol. 2015;97: 454–471. doi: 10.1111/mmi.13040 25899641
81. Scott JM, Haldenwang WG. Obg, an essential GTP binding protein of Bacillus subtilis, is necessary for stress activation of transcription factor sigma(B). J Bacteriol. 1999;181: 4653–4660. 10419966
82. Bruel N, Castanié-Cornet M-P, Cirinesi A-M, Koningstein G, Georgopoulos C, Luirink J, et al. Hsp33 controls elongation factor-Tu stability and allows Escherichia coli growth in the absence of the major DnaK and trigger factor chaperones. J Biol Chem. 2012;287: 44435–44446. doi: 10.1074/jbc.M112.418525 23148222
83. Maaβ S, Wachlin G, Bernhardt J, Eymann C, Fromion V, Riedel K, et al. Highly precise quantification of protein molecules per cell during stress and starvation responses in Bacillus subtilis. Mol Cell Proteomics. 2014;13: 2260–2276. doi: 10.1074/mcp.M113.035741 24878497
84. Walter P, Ron D. The unfolded protein response: from stress pathway to homeostatic regulation. Science. 2011;334: 1081–1086. doi: 10.1126/science.1209038 22116877
85. Rallu F, Gruss A, Ehrlich SD, Maguin E. Acid- and multistress-resistant mutants of Lactococcus lactis: identification of intracellular stress signals. Molecular Microbiology. 2000;35: 517–528. doi: 10.1046/j.1365-2958.2000.01711.x 10672175
86. VanBogelen RA, Kelley PM, Neidhardt FC. Differential induction of heat shock, SOS, and oxidation stress regulons and accumulation of nucleotides in Escherichia coli. J Bacteriol. 1987;169: 26–32. doi: 10.1128/jb.169.1.26-32.1987 3539918
87. Abranches J, Martinez AR, Kajfasz JK, Chávez V, Garsin DA, Lemos JA. The molecular alarmone (p)ppGpp mediates stress responses, vancomycin tolerance, and virulence in Enterococcus faecalis. J Bacteriol. 2009;191: 2248–2256. doi: 10.1128/JB.01726-08 19168608
88. Okada Y, Makino S, Tobe T, Okada N, Yamazaki S. Cloning of rel from Listeria monocytogenes as an osmotolerance involvement gene. Appl Environ Microbiol. 2002;68: 1541–1547. doi: 10.1128/AEM.68.4.1541-1547.2002 11916666
89. Yang X, Ishiguro EE. Temperature-Sensitive Growth and Decreased Thermotolerance Associated with relA Mutations in Escherichia coli. J Bacteriol. 2003;185: 5765–5771. doi: 10.1128/JB.185.19.5765-5771.2003 13129947
90. Khakimova M, Ahlgren HG, Harrison JJ, English AM, Nguyen D. The stringent response controls catalases in Pseudomonas aeruginosa and is required for hydrogen peroxide and antibiotic tolerance. J Bacteriol. 2013;195: 2011–2020. doi: 10.1128/JB.02061-12 23457248
91. Sambrook J, Russell DW. Molecular cloning: a laboratory manual. 3rd ed. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory Press; 2001.
92. Spizizen J. TRANSFORMATION OF BIOCHEMICALLY DEFICIENT STRAINS OF BACILLUS SUBTILIS BY DEOXYRIBONUCLEATE. Proc Natl Acad Sci USA. 1958;44: 1072–1078. doi: 10.1073/pnas.44.10.1072 16590310
93. Nakano MM, Zhu Y, Liu J, Reyes DY, Yoshikawa H, Zuber P. Mutations conferring amino acid residue substitutions in the carboxy-terminal domain of RNA polymerase alpha can suppress clpX and clpP with respect to developmentally regulated transcription in Bacillus subtilis. Mol Microbiol. 2000;37: 869–884. doi: 10.1046/j.1365-2958.2000.02052.x 10972808
94. Arnaud M, Chastanet A, Débarbouillé M. New vector for efficient allelic replacement in naturally nontransformable, low-GC-content, gram-positive bacteria. Appl Environ Microbiol. 2004;70: 6887–6891. doi: 10.1128/AEM.70.11.6887-6891.2004 15528558
95. Stülke J, Hanschke R, Hecker M. Temporal activation of beta-glucanase synthesis in Bacillus subtilis is mediated by the GTP pool. J Gen Microbiol. 1993;139: 2041–2045. doi: 10.1099/00221287-139-9-2041 8245830
96. Lamy M-C, Zouine M, Fert J, Vergassola M, Couve E, Pellegrini E, et al. CovS/CovR of group B streptococcus: a two-component global regulatory system involved in virulence: The CovS/CovR regulatory system of Streptococcus agalactiae. Molecular Microbiology. 2004;54: 1250–1268. doi: 10.1111/j.1365-2958.2004.04365.x 15554966
97. Nuss AM, Heroven AK, Waldmann B, Reinkensmeier J, Jarek M, Beckstette M, et al. Transcriptomic Profiling of Yersinia pseudotuberculosis Reveals Reprogramming of the Crp Regulon by Temperature and Uncovers Crp as a Master Regulator of Small RNAs. Sharma CM, editor. Genet PLoS. 2015;11: e1005087. doi: 10.1371/journal.pgen.1005087 25816203
98. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9: 357–359. doi: 10.1038/nmeth.1923 22388286
99. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25: 2078–2079. doi: 10.1093/bioinformatics/btp352 19505943
100. Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11: R106. doi: 10.1186/gb-2010-11-10-r106 20979621
101. Edgar R, Domrachev M, Lash AE. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002;30: 207–210. doi: 10.1093/nar/30.1.207 11752295
102. Dugar G, Herbig A, Förstner KU, Heidrich N, Reinhardt R, Nieselt K, et al. High-Resolution Transcriptome Maps Reveal Strain-Specific Regulatory Features of Multiple Campylobacter jejuni Isolates. Hughes D, editor. PLoS Genetics. 2013;9: e1003495. doi: 10.1371/journal.pgen.1003495 23696746
103. Towbin H, Staehelin T, Gordon J. Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications. Proc Natl Acad Sci USA. 1979;76: 4350–4354. doi: 10.1073/pnas.76.9.4350 388439
104. Laemmli UK. Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature. 1970;227: 680–685. doi: 10.1038/227680a0 5432063
105. Neuhoff V, Arold N, Taube D, Ehrhardt W. Improved staining of proteins in polyacrylamide gels including isoelectric focusing gels with clear background at nanogram sensitivity using Coomassie Brilliant Blue G-250 and R-250. Electrophoresis. 1988;9: 255–262. doi: 10.1002/elps.1150090603 2466658
106. Yarmolinsky MB, Haba GL. INHIBITION BY PUROMYCIN OF AMINO ACID INCORPORATION INTO PROTEIN. Proc Natl Acad Sci USA. 1959;45: 1721–1729. doi: 10.1073/pnas.45.12.1721 16590564
107. Nathans D. PUROMYCIN INHIBITION OF PROTEIN SYNTHESIS: INCORPORATION OF PUROMYCIN INTO PEPTIDE CHAINS. Proc Natl Acad Sci USA. 1964;51: 585–592. doi: 10.1073/pnas.51.4.585 14166766
108. Krüger E, Witt E, Ohlmeier S, Hanschke R, Hecker M. The clp proteases of Bacillus subtilis are directly involved in degradation of misfolded proteins. J Bacteriol. 2000;182: 3259–3265. doi: 10.1128/jb.182.11.3259-3265.2000 10809708
109. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9: 676–682. doi: 10.1038/nmeth.2019 22743772
110. Ihara Y, Ohta H, Masuda S. A highly sensitive quantification method for the accumulation of alarmone ppGpp in Arabidopsis thaliana using UPLC-ESI-qMS/MS. J Plant Res. 2015;128: 511–518. doi: 10.1007/s10265-015-0711-1 25752614
111. Steinchen W, Schuhmacher JS, Altegoer F, Fage CD, Srinivasan V, Linne U, et al. Catalytic mechanism and allosteric regulation of an oligomeric (p)ppGpp synthetase by an alarmone. Proc Natl Acad Sci USA. 2015;112: 13348–13353. doi: 10.1073/pnas.1505271112 26460002
112. Hughes CS, Moggridge S, Müller T, Sorensen PH, Morin GB, Krijgsveld J. Single-pot, solid-phase-enhanced sample preparation for proteomics experiments. Nat Protoc. 2019;14: 68–85. doi: 10.1038/s41596-018-0082-x 30464214
113. Plubell DL, Wilmarth PA, Zhao Y, Fenton AM, Minnier J, Reddy AP, et al. Extended Multiplexing of Tandem Mass Tags (TMT) Labeling Reveals Age and High Fat Diet Specific Proteome Changes in Mouse Epididymal Adipose Tissue. Mol Cell Proteomics. 2017;16: 873–890. doi: 10.1074/mcp.M116.065524 28325852
114. Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 2019;47: D442–D450. doi: 10.1093/nar/gky1106 30395289
115. Zhu B, Stülke J. SubtiWiki in 2018: from genes and proteins to functional network annotation of the model organism Bacillus subtilis. Nucleic Acids Research. 2018;46: D743–D748. doi: 10.1093/nar/gkx908 29788229
116. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2018. https://www.R-project.org/
117. Yu G, Wang L-G, Han Y, He Q-Y. clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters. OMICS: A Journal of Integrative Biology. 2012;16: 284–287. doi: 10.1089/omi.2011.0118 22455463
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