Acidic pH shock induces the expressions of a wide range of stress-response genes
© Kim et al; licensee BioMed Central Ltd. 2008
Received: 09 September 2008
Accepted: 16 December 2008
Published: 16 December 2008
Environmental signals usually enhance secondary metabolite production in Streptomycetes by initiating complex signal transduction system. It is known that different sigma factors respond to different types of stresses, respectively in Streptomyces strains, which have a number of unique signal transduction mechanisms depending on the types of environmental shock. In this study, we wanted to know how a pH shock would affect the expression of various sigma factors and shock-related proteins in S. coelicolor A3(2).
According to the results of transcriptional and proteomic analyses, the major number of sigma factor genes were upregulated by an acidic pH shock. Well-studied sigma factor genes of sigH (heat shock), sigR (oxidative stress), sigB (osmotic shock), and hrdD that play a major role in the secondary metabolism, were all strongly upregulated by the pH shock. A number of heat shock proteins including the DnaK family and chaperones such as GroEL2 were also observed to be upregulated by the pH shock, while their repressor of hspR was strongly downregulated. Oxidative stress-related proteins such as thioredoxin, catalase, superoxide dismutase, peroxidase, and osmotic shock-related protein such as vesicle synthases were also upregulated in overall.
From these observations, an acidic pH shock was considered to be one of the strongest stresses to influence a wide range of sigma factors and shock-related proteins including general stress response proteins. The upregulation of the sigma factors and shock proteins already found to be related to actinorhodin biosynthesis was considered to have contributed to enhanced actinorhodin productivity by mediating the pH shock signal to regulators or biosynthesis genes for actinorhodin production.
Various environmental signals are known to enhance secondary metabolites production in Streptomycetes by initiating complex signal transduction system . There have been a number of studies on the application of an environmental stimulus for the enhancement of productivity. These environmental stimuli include heat shock, cold shock, oxidative stress, osmotic stress, acidic sock, alkali shock [2–6].
It is known that different sigma factors respond to different types of stresses, respectively in Streptomyces strains, which have a number of unique signal transduction mechanisms depending on the types of environmental shock . Those sigma factors coordinate gene expression in response to various environmental and endogenous signals.
A research group has performed a proteomic study to identify the relationship between proteins expression and environmental stresses, and proteins expression at each phase of cell growth in S. coelicolor [7–9]. It was demonstrated that almost all of the shock-related proteins were found in the transient phase just before the stationary phase, implying that various shocks induced the proteins responsible for the initiation of the stationary phase. Based on these findings, it can be deduced that certain types of environmental shock could cause a premature initiation of stationary phase and thus an earlier initiation of secondary metabolites production.
We already observed that an acidic pH shock caused a much earlier initiation of stationary phase and actinorhodin (ACT) production when applied to a surface-grown culture of Streptomyces coelicolor A3(2) . In this study, we investigated in transcription and protein levels, the effects of acidic pH shock on the expression of various sigma factors and shock related proteins in S. coelicolor A3(2).
Results and discussion
Effects of pH Shock on cell growth and actinorhodin production
Actinorhodin is the most abundant product in S. coelicolor A3(2). The highest level of actinorhodin production was observed in the pH-shocked culture (designated as PS) in our previous study . In PS, the intracellular actinorhodin of 0.54/(g-cell/L) and extracellular actinorhodin of 1.41/(g-cell/L) were obtained, respectively, which were about 10 times higher than those of the pH non-controlled culture (designated as PNC) and pH controlled culture (designated as PC). Also, we performed transcriptional and proteomic analyses to investigate pH shock effect on the expression of regulatory and biosynthetic genes for actinorhodin production . Four regulators of PkaG, AfsR, AfsS and ActII-ORF4 were observed to be activated by pH shock. In addition, a number of genes known to be associated with actinorhodin biosynthesis were upregulated. In particular, the pathway-specific regulator of actII-orf4 having DNA binding activity to actVI-orf1 and actIII-actI intergenic region is necessary for the initiation of actinorhodin biosynthesis . Such enhanced expression of this regulator is considered to have led to the activation of other genes in the actinorhodin gene cluster. Genes responsible for polyketide synthesis function for actinorhodin production, ketoacylreductase (actIII), polyketide beta-ketoacyl synthase alpha/beta subunit (actI-orf1 and -orf2), actinorhodin polyketide synthase acyl carrier protein (actI-orf3), and actinorhodin polyketide synthase bifunctional cyclase/dehydrogenase (actVII) [12–14] were also highly upregulated: over 5 fold increased expression compared to that in PC (control). Besides these genes in actinorhodin gene cluster, ActVI-ORF1 and ActVI-ORF3 believed to be responsible for pyran ring closure leading to the formation of the benzoisochromanequinone (BIQ) chromophore [15–17] were upregulated. Among 6 ActVA proteins upregulated, ActVA-ORF4 and ActVA-ORF5 known to play a major role in the reaction of C-6 and C-8 ring hydroxylation in the biosynthesis of aromatic polyketide antibiotics  were also upregulated.
How a pH shock-signal can be transferred to the actinorhodin biosynthesis and regulatory genes at the lower level of signal transduction system is still unknown. We, however, considered that signal transduction process initiated by a pH-shock might proceed through sigma factors and shock related proteins at the higher-level. Therefore, the expression patterns of sigma factors and proteins known to be induced by a variety of shocks were examined.
Expression analysis on a wide range of stress-response genes
2-DE MALDI-TOF analysis results
Gene bank accession no.
Size of protein (kDa/aa)
Caculated pI (Expasy)
putative gas vesicle synthesis protein (GvpG)
putative RNA polymerase sigma factor (Sig K)
putative ECF-family RNA polymerase sigma factor
1-DE ESI-MS/MS analysis results
Gene bank accession no.
Size of protein (kDa/aa)
Chaperonin 2 (GroEL2)
Chaperone protein dnaK (DnaK)
Expression behavior of sigma factors with pH shock
All of the 96 sigma factors, functionally identified or only putative, ever identified in S. coelicolor were analyzed for their transcription levels. Among these sigma factors tested, as many as 43 factors were upregulated in the pH-shocked culture as observed by DNA chip analysis, while only 17 factors downregulated (Fig. 1). Among those upregulated, especially, four functionally identified sigma factor genes of sigT, sigU, sigB, sigQ and hrdB, and 15 putative sigma factor genes including SCO3709, SCO7323, SCO0542, SCO1263, SCO0675 and SCO7754 were very strongly upregulated by the pH shock. All of the well-known sigma factor genes such as sigH, sigR, sigG, sigB, hrdD, and hrdB were observed to be upregulated by the pH shock. Besides, many other sigma factor genes of sigQ, sigT, sigU, bldN were also upregulated in PS. In overall, their expression pattern in PNC was similar to that in PS, even though their expression levels were much lower than in PS. To confirm these results, RT-PCR was performed on four well-studied sigma factors of sigR, sigB, sigH and hrdD (Fig. 3A). All of them were expressed in PS and PNC, while none in PC, where pH change was suppressed. Among the strongly upregulated factors, SigH, SigR, and SigB are known to be induced by heat or osmotic, oxidative, and osmotic stress in order. In addition, they are known to have a major role in the secondary metabolite production by activating some major genes related to their biosynthesis [19–22]. SigH is known to play an essential role in the onset of cellular differentiation and antibiotic production [19, 23, 24]. S. coelicolor has sigB, which has a high homology with bacillus SigB. SigB is known to control both osmoprotection and differentiation . In addition, Cho et al. demonstrated in 2001 that SigB and CatB, catalases were required for osmoprotection and proper differentiation of S. coelicolor, and that CatB was under the control of SigB. CatB was also observed to be upregulated in PS .
Among them, hrdD showed the most sensitive response to pH changes. Their anti-sigma factors were also observed to be induced by the pH-shock (data not shown). This result implied that they must play major roles in the signal transduction system after a pH shock. The amount of the transcript from hrdD was reported to increase under sporulation or/and nutrient shift down [25, 26]. It is known to be preferentially transcribed by the exponential phase RNA polymerase. HrdD is known to recognize the promoter for actII-orf4 regulating the actinorhodin production. Also, The genes of redD and actII-ORF4, pathway-specific regulators for antibiotic production in S. coelicolor A3(2), are reported to be transcribed in vitro by an RNA polymerase holoenzyme containing sigma factor, hrdD . Therefore, it was considered that the enhancement of actinorhodin production was due to the joint effect of the upregulation of regulatory genes (pKaG, afsR, and afsS) and actinorhodin pathway specific regulatory gene (actII-ORF4) (in our previous study) , and the upregulation of hrdD (in this study). In addition, two putative RNA polymerase sigma factors of SigK and SCO7112 were observed to be upregulated by the pH shock in 2-DE MALDI-TOF analysis (Table 1). Of these two, SigK having a homology with SigB is known to be induced transiently by heat and salt stress .
The analysis results and published information on these sigma factors give a good insight into how a pH shock could enhance actinorhodin production.
Expression behavior of heat shock-related proteins
DnaK family, the well-known heat shock proteins of dnaK, dnaJ, clpB, and grpE [29–31] were observed to be upregulated by the pH shock in the transcriptional level. In the proteomic analysis also, DnaK was detected only in PNC and PS (Table 2).
In DNA chip analysis, the genes coding well-known heat shock proteins of dnaK, clpB, and grpE were observed to be upregulated in PS (Fig. 2A). In particular, the transcription of dnaK steeply increased after pH shock. It showed about 6.2-fold increased expression level one day after the pH shock. On the contrary, the gene coding the repressor of the DnaK family hspR, identified by Bucca et al.  for the first time in 1995, was strongly downregulated by the pH shock. In RT-PCR analysis, they were expressed one day after the pH shock in PS, while its expression was somewhat delayed in PNC to be observed 2 days after the pH shock. It was not expressed in PC (Fig. 3B).
Among eight chaperone genes in S. coelicolor A3(2), five of them (dnaJ, groEL2, groES, groEL, and SCO7523) were upregulated. Especially, groES, groEL2, and SCO7523 were strongly upregulated by the pH shock (Fig. 2B). Chaperonin 2 (or GroEL2) and a chaperone protein of DnaK were also detected in PS by 1-DE ESI-MS/MS analysis (Table 2). Especially, GroEL2 is known to be induced either by heat shock or by undefined physiological general stress signals [32, 33]. It is associated with specialized metabolic functions including stationary phase metabolism, the stringent response, protein secretion, and cellular differentiation, playing a special role in the assembly of multienzyme complexes that synthesize secondary metabolites containing peptide or polyketide bonds . Hence, we deduced that GroEL2's induction by the pH shock have, at least partially, contributed to the enhanced actinorhodin biosynthesis.
Expression behavior of oxidative stress-related proteins
The expressions of oxidative stress related proteins of catalase, superoxide dismutase, peroxidase, and thioredoxin system were investigated. (Fig. 3C and 2D, and Table 2). In the transcriptional level, genes of catA, catB, sodN and sodF were upregulated by the pH shock. Among them, sodN was much more strongly upregulated than the others. Unfortunately, in DNA chip analysis, another superoxide dismutase gene, sodF could not be analyzed because of defects on the DNA chip used. These dismutases and catalases are representative antioxidant enzyme groups in the primary and secondary metabolisms, respectively. Superoxide dismutase (Sod) transforms preferentially reactive oxygen species, especially oxygen radicals, to H2O2 [35, 36], and then hydrogen peroxide generated in the previous step is changed to nontoxic H2O by catalase. Catalases of catA and catB play major roles in the first and secondary metabolism in S. coelicolor . Also, Sod was detected in protein level only in PS as shown in Table 2, which is consistent with previous result of transcriptional analysis.
Peroxidases and thioredoxin systems were also observed to be activated in overall by the pH shock. Especially, the putative thioredoxin genes, SCO1084 and trxA4, and the putative thioredoxin reductase gene, SCO7298 were strongly upregulated. It is reported that the thioredoxin system begins to work actively under the influence of SigR when oxidative stress exists to generate NADP+ relieving this stress [38–40].
Expression behavior of osmotic shock-related proteins
Expression profiles of sixteen gas vesicle synthesis protein genes were investigated for the first time in transcriptional level in this study (Fig. 2C). It has been speculated that gas vesicles might serve a function responsive to osmotic stress . Among those, eleven genes were upregulated in PS, while only two genes were downregulated. The protein of GvpG was also detected in PNC and PS through the 2-DE MALDI-TOF analysis (Table 1). This result might be not sufficient to provide a direct evidence on the relationship between gvp upregulation by acidic pH shock and actinorhodin biosynthesis, since the function of gvp genes is still not clear. It is, however, considered that these genes might be candidates to mediate a pH shock signal to the genes related to actinorhodin biosynthesis.
Based on these combined observations, an acidic pH shock was considered to be one of the strongest stresses to influence a wide range of sigma factors and shock-related proteins including general stress response proteins. The upregulation of the sigma factors and shock proteins, especially HrdD, SigH, SigR, SigB and GroEL2, already found to be associated in actinorhodin biosynthesis were considered to have contributed to the enhanced actinorhodin productivity with the pH shock, mediating the pH shock signal to regulators or biosynthesis genes for actinorhodin production.
Strain, media and culture conditions
Cell and actinorhodin concentrations
Cell concentration was measured in dry cell weight (DCW). Cells collected off the cellophane film were washed with a phosphate buffer. The washed cells were dried at 80°C for 24 hrs, and then weighed at room temperature. The intracellular and extracellular amounts of actinorhodin produced were separately measured following the procedures previously reported [10, 33, 34].
An RNeasy Midi kit (Qiagen) was used for RNA isolation according to the manufacturer's instructions. The total RNA was quantified using a NanoDrop ND-1000 (Nanodrop, USA). RNA integrity was assessed using a Bioanalyzer (Agilent Technologies).
The methods of DNA microarray analysis used are detailed at http://www.surrey.ac.uk/SBMS/Fgenomics/Microarrays/ and in the previous report . Briefly, for RNA labeling, 15 μg of total RNA and 1.7 μl of random primer (Invitrogen) were mixed and incubated for 10 min at 70°C, snap cooled on ice and then 6 μl of 5× First strand buffer, 3 μl of 100 mM DTT, 0.6 μl of dNTP (25 mM each dA/G/TTP, 10 mM dCTP), 2 μl of a Super Script II (Invitrogen) and 1.5 μl of Cy3-dCTP (Amersham Biosciences) were added to make a final volume of 30 μl. The mixture was incubated for 10 min at 25°C in the dark and further incubation was done for 120 min at 42°C in the dark. Ten microliter of 1 N NaOH was added to the incubated mixture. After incubation for 10 min at 70°C, 10 μl of 1 N HCl was added for RNA denaturation.
Oligonucleotide primers used for RT-PCR
F: 5'-cgt cta tcc tcc gat tcg agt gag-3'
R: 5'-gcc ctc gac gtc cgc cag ata cac-3'
F: 5'-gcc tcc tac cgg cac atg cac gg-3'
R: 5'-ctg gtt gcc gtc gac gcg cat gg-3'
F: 5'-gtg tcc cag atc gca ggc gag ccc-3'
R: 5'-cac gtc ggc ccg gag gag acc ttg-3'
F: 5'-gac gtg gtg cac gcg gcg aag cc-3'
R: 5'-gca gcg ggt cgt cgg tga cgt cg-3'
F: 5'-gct cac cgt gct gga gga ggg cac-3'
R: 5'-ccg atg aag tcg gcg agc gcc gac-3'
F: 5'-gcc gga ggg gat ccg cca tgt cc-3'
R: 5'-ggt gga gcc ctg gcc gac gtt gc-3'
F: 5'-ctt ctc gat ctg gcg gat gcg ctc-3'
R: 5'-gtc gag aag ttc gac tac cgc aag g-3'
F: 5'-ccc gcc tgt ttg ccc cca agg tc-3'
R: 5'-cga tgg tgc acc gat cgc cgg-3'
F: 5'-gtg ccc gag gtg acg gac gcg-3'
R: 5'-tca gac cac gtc ggc cag ctc-3'
F: 5'-gtg gcc ggc acc ctg aag cat gtg-3'
R: 5'-tca gtc ggc gat gaa gtc ctc gag-3'
F: 5'-cgc cag gcg gtc acg aac gtc gac-3'
R: 5'-ctg gaa ctg ctt gac cag gta gtc-3'
F: 5'-gtg ccc gag gtg acg gac gcg-3'
R: 5'-tca gac cac gtc ggc cag ctc-3'
F: 5'-gac ggt gag gtt gtc gcc ccg gcg-3'
R: 5'-cgc acc ggc ggc gga ccg ggc acc-3'
F: 5'-atg acc agc acc gtg gaa ctc acc-3'
R: 5'-cta ctg gcc ttc ctg gcc ttc ctg-3'
F: 5'-ccg cgg acc tcc agc ggc tcc agg-3'
R: 5'-cct tgg tcc cgg cgt cgt cct ccg-3'
F: 5'-ctc tac acc gcg cga gca tcc ctg-3'
R: 5'-ctt cag gcc cgc aag ctt ctg gtc-3'
F: 5'-gac gac gtc gcc ggt gac ggt acg-3'
R: 5'-cga cag ggc ctc gcc ctc gac gtc-3'
F: 5'-ggc ggt tcg ctc acg acc acg-3'
R: 5'-ctc gcc ggt cag ggt gtc acg-3'
Cells were suspended in TE buffer containing COCKTAIL (Roche), and then disrupted with a cell homogenizer. Samples containing 100 μg proteins were prepared from the supernatant for the subsequent 1D- and 2D-analyses. For 1D-LC/ESI-MS/MS analysis, protein samples were treated by 1D-SDS-PAGE. Protein bands were excised and digested in-gel with trypsin. To identify the major proteins, tryptic peptides were submitted for Electrospray Ionization Quadrupole-Time of Flight instrument (ESI-Q-TOF MS). Peptide mass fingerprints were analyzed by using the MASCOT http://www.matrixscience.com. In 2D-gel electrophoresis, 18 cm IPG strips pH 4~7 (Amersham Biosciences) were used for the first-dimension isoelectric focusing. Gels were stained with a silver staining kit (Amersham Biosciences) and scanned by using a UMAX power look 1120 scanner (UMAX, Taiwan). Image analysis was performed by using Phoretix 2D Expression (NonLinear Dynamics, UK). Protein identification was performed by using a Matrix Assisted Laser Desorption/Ionizing-Time of Flight (MALDI-TOF) mass spectrometry system (Voyager DE-STR, PE Biosystem, Framingham, MA) in NICEM (National Instrumentation Center for Environmental Management). Other experimental conditions were detailed in our previous report .
This work was supported by grant No.R01-2006-000-10860-0 from the Basic Research Program of the Korea Science & Engineering Foundation.
We thank Giselda Bucca and Vassilios Mersinias for assisting J. Y. Song in microarray-related techniques during his visit at the University of Surrey.
We also thank Dr. Young-Soo Hong at Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea for his valuable advice related to RT-PCR analysis.
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