Crp Is a Global Regulator of Antibiotic Production in Streptomyces

Abstract

Introduction Streptomyces bacteria are an important source of bioactive compounds, with their products including two-thirds of clinically prescribed antibiotics, as well as immunosuppressants, anticancer agents, and antiparasitic molecules. The model streptomycete Streptomyces coelicolor has long been known to produce four chemically distinct antibiotics: actinorhodin (Act) (1), undecylprodigiosin (Red) (2, 3), calcium-dependent antibiotic (CDA) (4), and the plasmid-encoded methylenomycin (Mmy) (5, 6), although Mmy is not produced by the sequenced, plasmid-free S. coelicolor strain M145. Act and Red are blue and red pigmented, respectively, and serve as outstanding markers for following the effects of genetic manipulation on antibiotic production. Recently, the characterized antibiotic repertoire of S. coelicolor has expanded to include a yellow-pigmented polyketide (yCPK) (7). Notably, S. coelicolor has the genetic capacity to produce far more secondary metabolites than have been detected in the lab, encoding 22 predicted secondary metabolic gene clusters. This plethora of clusters specifying unknown molecules is a characteristic shared with all streptomycetes whose genomes have been sequenced to date. These “cryptic” clusters are of considerable interest, as they represent a vast reservoir of potentially novel bioactive molecules. The genes mediating antibiotic synthesis are usually arranged in contiguous clusters that range in size from a few kilobases to over 100 kb (8). These clusters include genes encoding biosynthetic enzymes, resistance determinants, and regulatory proteins (8). The pathway-specific regulators for Act (ActII-ORF4), Red (RedD and RedZ), CDA (CdaR), and yCPK (CpkO) activate the synthesis of their respective antibiotics through interactions with promoter regions within their individual clusters (8, 9). Expression of these activators is in turn controlled by disparately encoded regulators that affect the production of one or more antibiotics. More than 15 of these “global” antibiotic regulators have been identified on the basis of their effects on antibiotic production (10); however, direct regulatory connections have been established for only a few of these proteins. In the “activator” class, only the TetR-like regulator AtrA has been characterized biochemically, binding directly to the actII-orf4 promoter region and stimulating its expression and the subsequent production of Act (11). This activity is in contrast to that of the pleiotropic regulator DasR, which inhibits both Act and Red biosynthesis through its binding to sites overlapping the promoters of actII-orf4 and redZ (12). The AbsA1/A2 two-component system also adversely impacts Act, Red, and CDA production, with phosphorylated AbsA2 repressing the expression of the pathway-specific regulators for each gene cluster (13). Mechanistic insight into the roles played by global regulators—and particularly the global activators—is thus a critical missing component in the regulatory networks underpinning antibiotic production, as such activators could provide a key to unlocking the reservoirs of cryptic secondary metabolites encoded within Streptomyces genomes. Rigorous and multifaceted control of metabolism is a phenomenon common to all organisms. One broadly conserved regulator of bacterial metabolism is the cyclic AMP (cAMP) receptor protein (Crp). Crp is found throughout Gram-negative and -positive bacteria, although it is absent in Bacillus and the other Firmicutes (14). Crp has been best studied in Escherichia coli, where it mediates carbon catabolite repression in conjunction with its effector molecule cAMP (14, 15). In E. coli, Crp binds tightly to ~70 different genetic regions and affects the expression of hundreds of genes (16). In the actinomycetes, including Streptomyces, Crp also has important global regulatory roles, although it does not seem to function in carbon catabolite repression (17–19). Previous work on Crp in S. coelicolor has confirmed its ability to interact with cAMP (20), while functional studies have primarily focused on its role in morphological development, as Δcrp mutants have very distinct developmental defects (reduced and delayed germination, small colonies, and accelerated sporulation) (19, 21). Here, we probe the function of Crp in controlling secondary metabolism and show that Crp contributes directly to the regulation of multiple antibiotics in S. coelicolor and stimulates secondary metabolism more broadly in the streptomycetes. Furthermore, we show that Crp directly affects the expression of enzymes needed for precursor synthesis, suggesting an ability to influence precursor flux into secondary metabolism and a role for Crp at the interface of primary and secondary metabolism. RESULTS Crp deletion affects antibiotic production in S. coelicolor. It has been noted previously that S. coelicolor Δcrp mutants produce reduced levels of the blue-pigmented antibiotic actinorhodin (19, 21). We constructed a Δcrp mutant in wild-type S. coelicolor strain M145 and observed a similar defect in Act production (Fig. 1A). We set out to examine the antibiotic production potential of the Δcrp mutant strain more broadly and compared the levels of Act, Red, and CDA produced by the mutant relative to its wild-type parent. Total Act (actinorhodin and γ-actinorhodin) was assessed over a 7-day time course during growth in rich liquid medium. Act levels in the wild-type strain increased sharply between days 2 and 4, after which levels remained high through day 7. A Δcrp mutant strain, however, produced barely detectable levels of Act throughout the same time course (Fig. 1B). A similar phenomenon was observed for CDA, where a plate-based bioassay revealed a complete abrogation of CDA production by a Δcrp mutant (Fig. 1C). In contrast, Red production profiles during growth in rich liquid medium were similar in both wild-type and Δcrp mutant strains, although a reproducible lag of ~24 h was observed for the Δcrp mutant (Fig. 1D). In all cases, both the abundance and timing of antibiotic production could be restored to near-wild-type levels by complementing the crp deletion mutant with a construct carrying crp expressed from its native promoter, confirming that the phenotypes were due to crp deletion (Fig. 1). These data suggest that Crp has a global influence on secondary metabolite production. FIG 1  Antibiotic production by the wild-type (WT) strain, the Δcrp strain, and Δcrp mutants carrying crp transcribed from its native promoter or the ermE* promoter. (A) S. coelicolor strains grown on rich (R2YE) medium for 4 days. (B to D) The levels of the antibiotics actinorhodin (Act) (B), calcium-dependent antibiotic (CDA) (C), and undecylprodigiosin (Red) (D) were quantified for these strains grown in liquid culture. The results in panels B and D were representative of three independent cultures, with duplicate aliquots examined for each culture at each time point. The results in panel C were obtained from four independent assays. The data were normalized relative to the biomass of the mycelia. Error bars denote the standard errors for these experiments. Crp associates with multiple secondary metabolic gene clusters. Given the dramatic secondary metabolic defects exhibited by a Δcrp mutant, we wanted to determine the targets of Crp activity in the cell. As a first step, we monitored Crp transcript and protein levels over a 48-h time course in liquid culture (prior to the onset of significant actinorhodin production) to determine when Crp was expressed. We found that crp was most highly expressed up until 20 h, after which transcripts decreased to levels barely detectable by 36 h. In contrast, Crp protein levels were relatively constant throughout the same 48-h period (see Fig. S1 in the supplemental material). We next examined cAMP levels over the time when crp was most highly expressed (12 to 20 h), as cAMP is presumed to be the effector molecule for Crp, based on studies in other bacteria (22–24). Extracellular cAMP levels were highest at 12 and 16 h, before dropping significantly at 20 h; intracellular levels were too low to be detected, consistent with previously published results (25) (see Fig. S1). Interestingly, cAMP levels were more than an order of magnitude higher in the crp mutant than in the wild-type strain (see Fig. S1); enhanced cAMP production has been previously observed for crp mutants in both E. coli (26) and Salmonella enterica serovar Typhimurium (27). We tested the effect of high levels of exogenous cAMP (2 mM) on the behavior of the wild-type strain and found there to be no obvious phenotypic difference between this strain and the one grown without supplementation (data not shown), suggesting that the phenotype of the crp mutant stems from loss of Crp and not from heightened cAMP production. Consequently, we pursued investigations into Crp targets after growth for 16 h, using chromatin immunoprecipitation assays with purified Crp-specific polyclonal antibodies, together with microarray analyses of the precipitated DNA (ChIP-chip). As a negative control, parallel assays were conducted using Δcrp mutant cultures. We considered a sequence to be Crp associated if the log2(wild-type/mutant signal ratio) was greater than 3 times the standard deviation above the median ratio (>1.73) and if at least one adjacent probe sequence also met this criterion. We found 393 Crp-associated sequences, distributed relatively evenly throughout the genome (Fig. 2A). Candidate target genes were classified according to their predicted—or demonstrated—functions, as described in the literature or as annotated in the Streptomyces database StrepDB (see Table S1 in the supplemental material). Among the genes with assigned functions, the most abundant functional groups were transcriptional regulators (9.9% of targets) and proteins involved in metabolism (17.6% of targets), of which one-third were predicted, or demonstrated, to participate in secondary metabolism (5.1%) (see Table S1). FIG 2  Association of Crp with the S. coelicolor genome. (A) A map of the S. coelicolor genome with ChIP-chip and transcriptome profiling data. Coding sequences in the genome are shaded in blue. The characterized or predicted secondary metabolic clusters (28) are highlighted in green in the outermost circle; those clusters associated with Crp are written in purple. The genomic distribution of Crp association sites is shown in red in the innermost circle, while Crp targets identified in transcriptome profiling are indicated with black lines in the middle circles. The black lines pointing toward the outside represent genes upregulated by Crp induction, while those pointing toward the center indicate downregulated genes. The map was created using CGView software (59). (B) Validation of Crp association sites using ChIP assays together with qPCR, before and after crp induction in a Δcrp mutant carrying pIJ6902crp. (C) DNase I footprinting was conducted on three different targets, and a consensus binding site was identified in the protected regions (top panel). Analysis of a further 24 Crp target sequences (focusing on those involved in primary and secondary metabolism) revealed a degenerate version of this consensus sequence to be overrepresented in the probe-associated sequences (bottom panel). Notably, eight out of the 22 predicted secondary metabolic clusters in S. coelicolor were associated with Crp binding sites (Fig. 2A; Table 1) (28). Of the characterized clusters, Crp coimmunoprecipitated with at least two sites in, or upstream of, the coding regions of pathway-specific regulatory genes for the Act (SCO5085; actII-ORF4), Red (SCO5881; redZ), and CDA (SCO3217; cdaR) biosynthetic gene clusters (Table 1). Multiple Crp binding sites were also associated with the biosynthetic genes for yCPK, specifically, upstream and within cpkA, which encodes a polyketide synthase (Table 1). The other four metabolic clusters associated with Crp binding are predicted to code for a nonribosomal peptide synthetase (NRPS) (SCO6429-6438), the sesquiterpene antibiotic albaflavenone (SCO5222-5223), a type II fatty acid synthase (SCO1265-1273), and a deoxysugar synthase/glycosyltransferase (SCO0381-0401) (Table 1). These four clusters all lack obvious pathway-specific regulatory genes, and each is arranged such that they could be expressed as a single transcriptional unit. Intriguingly, the Crp-associated sequences for each of these clusters correspond to positions upstream and/or within the first gene of each cluster. This suggests that there is potential for Crp to specifically regulate the expression of the entire cluster, possibly serving as a “pathway-specific regulator” for those clusters that lack one. TABLE 1  ChIP-chip targets involved in primary (selected) and secondary metabolism Regionbound a Enrichmentratio b Regulatedgene c Predicted functionof regulated gene Distance d Predictedbinding site e Secondary metabolism     SCO0380-0381 2.38 SCO0381 Glycosyltransferase; deoxysugar synthesis −401 G TCGAACTCGGC A C (−371)     SCO0381 2.04 SCO0381 Glycosyltransferase; deoxysugar synthesis 186 G T G ACCACCGCCGT (186)     SCO1273 1.96 SCO1273 Reductase in type II fatty acid synthase 650 CT GCCGGTGGGC A C (736)     SCO1273-1274 2.07 SCO1273 Reductase in type II fatty acid synthase −94 G T GGCAGATTT CTG (−81)     SCO3217 f 3.2 SCO3217 CdaR, pathway-specific activator; CDA synthesis 847 GCGGAGGCACT C A C (710)     SCO3229 f 2.81 SCO3229 HmaS, 4-hydroxymandelate synthase 90 G T G ACATCGCGTA C (56)     SCO3230 f 2.03 SCO3230 CdaPSI, CDA peptide synthetase I 282 GGGGTGCCGTAC A C (286)     SCO5084 g 1.86 SCO5084 ActII-3, actinorhodin export 1706 CT GTCCTTCTT C A C (1,645)     SCO5085 (1) g 2.77 SCO5085 ActII-4, pathway-specific activator; Act synthesis 358 G T G ACGAGCGA CGA (234)     SCO5085 (2) g 1.6 SCO5085 ActII-4, pathway-specific activator; Act synthesis 38 G TCCATGTAAT C A C (24)     SCO5221-SCO5222 2.89 SCO5222 EizA lyase, sesquiterpene cyclase −177 G TTCGTCTGTGC A C (−185)     SCO5222 (1) 3.01 SCO5222 EizA lyase, sesquiterpene cyclase 896 GAGGAATGCAT C A C (847)     SCO5222 (2) 2.88 SCO5222 EizA lyase, sesquiterpene cyclase 356 G T G ACATCGTCC A C (317)     SCO5223 2.47 SCO5223 Putative cytochrome P450, sesquiterpene cyclase 736 G TCGCGATACT C A C (810)     SCO5881 (1) h 2.44 SCO5881 RedZ, pathway-specific activator; Red synthesis 130 GCCCCCCTCTT C A C (166)     SCO5881 (2) h 2.16 SCO5881 RedZ, pathway-specific activator; Red synthesis 590 G TCTCGCCCACC A C (520)     SCO6271-SCO6272 i 1.83 SCO6271 AccA1, acyl-CoA carboxylase complex; yCPK synthesis −51 G T G AGGAGAAT CTT (−8) SCO6272 Scf, secreted FAD j -binding protein, yCPK synthesis −257 AAG ATTCTCCT C A C (−300)     SCO6272 i 2.06 SCO6272 Scf, secreted FAD-binding protein, yCPK synthesis 43 G T GTCCGGCGGCGC (49)     SCO6275-SCO6276 i 1.8 SCO6275 CpkA, type I polyketide synthase; yCPK synthesis −68 CCG AGCGTGGT C A C (0) SCO6276 Monooxygenase; yCPK synthesis −257 G T G ACCACGCT CGG (−180)     SCO6276 i 2.13 SCO6276 85 G T GGTAACTGCCGC (91)     SCO6283 i 1.81 SCO6283 Nucleoside-diphosphate-sugar epimerase; yCPK synthesis 136 CT GGACGAGTCC A C (136) SCO6282 3-Oxoacyl-[acyl-carrier protein] reductase; yCPK synthesis −253 G T GGACTCGTCC AG (−253)     SCO6429 2.27 SCO6429 Putative NRPS 139 G T G AAGGCGCCCTG (87) Primary metabolism (selected)     SCO4561-4562 2.67 SCO4562 NuoA, NADH dehydrogenase subunit −326 G T G AAAATGT C A C (−281)     SCO4921-4922 1.97 SCO4921 AccA2, acyl-CoA carboxylase complex A subunit −117 G T GTGGGCAAGCT C A C (−80)     SCO4978-4979 1.77 SCO4979 PckA, phosphoenolpyruvate carboxykinase −33 G TCGCAGCCCCC A C (−45)     SCO5260-5261 2.26 SCO5261 NADP+-dependent malic enzyme −129 G T GGCCCAGAC AG (−89) a  Genomic context of Crp-associated sequences. b  Crp-DNA interaction affinity. c  Genes regulated by Crp-associated sequences. d  Distances from the center of Crp-associated sequences to the start codons of regulated genes. Negative values indicate sites upstream of start codons while positive values indicate sites within open reading frames. e  Numbers in parentheses are distances to the start codon of regulated genes, as described in footnote d ; underlined nucleotides match the experimentally determined consensus sequence shown in Fig. 2C. f Secondary metabolic cluster genes for calcium-dependent antibiotic. g Secondary metabolic cluster genes for actinorhodin. h Secondary metabolic cluster genes for undecylprodigiosin. i Secondary metabolic cluster genes for cryptic polyketide. j FAD, flavin adenine dinucleotide. To begin to validate Crp association with select sequences, we constructed a thiostrepton-inducible crp construct and introduced this plasmid into the Δcrp mutant strain. We conducted chromatin immunoprecipitation assays prior to induction (time zero) and after induction for 15 and 45 min; immunoprecipitated and total DNA samples were then used as the templates for quantitative PCR (qPCR) amplification of the pathway-specific regulator-associated sequences for Act (SCO5085; actII-ORF4), CDA (SCO3217; cdaR), and Red (SCO5881; redZ). As a negative control, a sequence from SCO4662 (tuf-1) was also subjected to qPCR amplification, as this sequence was not identified as a Crp binding target in our initial ChIP-chip analyses. All target sequences, apart from the negative control, were enriched in the immunoprecipitated DNA within 15 min and, more significantly, after 45 min of Crp induction (Fig. 2B). This experiment indirectly confirmed SCO5085 (actII-ORF4), SCO3217 (cdaR), and SCO5881 (redZ) as Crp targets. Electrophoretic mobility shift assays (EMSAs) using select Crp-associated sequences failed to yield traditional shifts, a phenomenon that has been noted in previous studies (19, 20) and may be due to the unusually low pI (5.8) of the Streptomyces Crp, relative to its counterpart in other bacteria. We therefore pursued DNase I footprinting assays on several of the Crp-associated sequences that gave an unusual “downshift” in our initial EMSA trials, in an effort to identify a consensus binding sequence (see Fig. S2 in the supplemental material). We mapped sites upstream of crp itself, SCO4561 and SCO2977, and identified a consensus binding sequence [GTG(N)6GNCAC]; derivatives of this motif could be found in all of the secondary metabolism-associated target sequences, although notably, one-half of the palindrome seemed to be better conserved than the other [GTG(N)6GNGAN] (Fig. 2C; Table 1). Crp induction affects the expression of secondary metabolic gene clusters. Since both phenotypic investigations and ChIP-chip assays had suggested a role for Crp in secondary metabolite regulation, transcriptome profiling was conducted to gain further insight into the Crp control of these genes/clusters. We opted to follow Crp-dependent effects using an inducible system, where crp was expressed from a thiostrepton-inducible promoter, rather than simply comparing expression patterns of wild-type and mutant strains, as these strains grow very differently (the Δcrp mutant is significantly delayed in germination relative to the wild-type strain). RNA samples were prepared from thiostrepton-inducible crp and empty-plasmid control strains, before and after thiostrepton induction, and were analyzed using Affymetrix-based microarrays. Genes showing at least a 2-fold change in their expression following induction in the crp-containing samples, but not in the negative control, were regarded as potential targets. Overall, we found the expression of 360 genes to be activated and that of 91 genes to be repressed following Crp induction (Fig. 2A; see Table S2 in the supplemental material). Consistent with the ChIP-chip assay results, functional classification of the Crp-affected genes supported a central role for Crp in governing secondary metabolism, with nearly 20% of all differentially expressed genes encoding products involved in secondary metabolite biosynthesis (see Table S2 in the supplemental material). Notably, genes within the Act, Red, CDA, and yCPK clusters were significantly upregulated in response to Crp induction (Fig. 3). Expression of the NRPS gene cluster (SCO6429-38) that contained a Crp association sequence was activated as well, whereas the albaflavenone biosynthetic genes (SCO5222-23) were repressed (Table 2). As a further test, we used reverse transcription-qPCR (RT-qPCR) to examine the transcription profiles of select genes, including those from the Act (actVA4, actII-ORF4), Red (redD, redX), CDA (cdaR, cdaPSI), yCPK (cpkA, scF), and albaflavenone (eizA) biosynthetic clusters (see Fig. S3 in the supplemental material). In every case, the RT-qPCR profiles matched our microarray results, effectively validating our array data. FIG 3  Schematic representation of antibiotic biosynthesis clusters showing ChIP-chip targets and transcriptome profiling targets: act cluster (A), red cluster (B), cda cluster (C), cpk cluster (D), cryptic nonribosomal polyketide (NRPS) cluster (E), and albaflavenone cluster (F). The ChIP-chip targets are shaded in red for all six clusters (Crp binding sites for each are summarized in Table 1), upregulated genes are shaded in orange, and those shown in white did not show any significant change in response to Crp induction. The pathway-specific regulatory genes are marked with asterisks, while global regulatory genes are marked with black dots. TABLE 2  Select overlapping targets in ChIP-chip and transcriptome analyses Boundregionin ChIP-chip Overlapped targetwith transcriptomeprofiling Effectof Crp inductionon target transcription Function Secondary metabolism     SCO3217 a SCO3217 Activated CdaR, pathway-specific activator; CDA synthesis     SCO3229 a SCO3229 Activated HmaS, 4-hydroxymandelate synthase SCO3230 Activated CdaPSI, CDA peptide synthetase I     SCO3230 a SCO3230 Activated CdaPSI, CDA peptide synthetase I     SCO5085 (1) b SCO5085 Activated ActII-4, pathway-specific activator; Act synthesis     SCO5085 (2) b SCO5085 Activated ActII-4, pathway-specific activator; Act synthesis     SCO5221-5222 SCO5222 Repressed EizA, putative lyase     SCO5223 SCO5223 Repressed Putative cytochrome P450     SCO6271-6272 c SCO6271 Activated AccA1, acyl-CoA carboxylase complex; yCPK synthesis SCO6272 Activated Scf, secreted FAD d -binding protein; yCPK synthesis     SCO6272 c SCO6272 Activated Scf, secreted FAD-binding protein; yCPK synthesis     SCO6275-6276 c SCO6275 Activated CpkA, type I polyketide synthase; yCPK synthesis     SCO6429 SCO6429 Activated Putative NRPS Primary metabolism     SCO4561-4562 (1) SCO4562 Repressed NuoA, NADH dehydrogenase subunit     SCO4921-4922 SCO4921 Activated AccA2, acyl-CoA carboxylase complex A subunit     SCO4978-4979 SCO4979 Activated PckA, phosphoenolpyruvate carboxykinase     SCO5260-5261 SCO5260 Activated NADP+-dependent malic enzyme a Secondary metabolic gene cluster for calcium-dependent antibiotic. b Secondary metabolic gene cluster for actinorhodin. c Secondary metabolic gene cluster for cryptic polyketide. d FAD, flavin adenine dinucleotide. When comparing Crp-associated DNA targets from our ChIP-chip experiments with the differentially expressed genes identified in our microarray experiments, we found overlap not only of key secondary metabolic genes but also of genes encoding key primary metabolic enzymes that make important contributions to secondary metabolism. These included genes involved in the synthesis of acetyl coenzyme A (acetyl-CoA) (pckA/SCO4979; SCO5261), as well as those needed to synthesize malonyl-CoA (accA1/SCO6271; accA2/SCO4921), both of which are used as precursors by polyketide enzymes in the synthesis of antibiotics and other secondary metabolites (29). Also identified were genes required for the synthesis of cofactors like flavin mononucleotide (FMN) (e.g., riboflavin biosynthesis, SCO1443-1439), which is needed in the later stages of Act biosynthesis (Tables 1 and 2) (30). These results suggest that Crp activity plays a central role in promoting secondary metabolite production in S. coelicolor, integrating multiple regulatory nodes that include the direct control of antibiotic production via the pathway-specific regulators and the modulation of primary metabolic pathways feeding into secondary metabolism. The impact of Crp overexpression on secondary metabolism of Streptomyces. Crp is well conserved across the streptomycetes, with alignments revealing >90% amino acid sequence identity shared between different Crp orthologs (see Fig. S4 in the supplemental material). Given the importance of Crp to secondary metabolism in S. coelicolor, we tested whether Crp overexpression could enhance antibiotic production in this organism. We cloned the crp gene behind a strong constitutive promoter (ermE*) on an integrating plasmid vector whose target integration sequence is found in all sequenced Streptomyces species examined to date. The Crp overexpression construct, along with an empty-plasmid control, was then conjugated into S. coelicolor, and antibiotic production was analyzed. Significant upregulation of the blue-pigmented Act antibiotic was obvious in surface-grown cultures of the Crp-overexpressing strain (Fig. 1A), and this was further confirmed through quantitative assays of liquid medium-grown cultures (Fig. 1B). CDA production was also increased (Fig. 1C), while Red production initiated at a higher level than in the control strain (Fig. 1D). To determine whether the antibiotic-stimulatory effects of Crp were more universal, we introduced the Crp overexpression construct into a number of different Streptomyces species, including both sequenced strains and wild Streptomyces isolates (see Table S3 in the supplemental material). Using immunoblotting, we confirmed that Crp was overexpressed in these strains, relative to controls bearing the empty-plasmid vector, and verified that similar total protein levels were being compared using Coomassie blue staining (see Fig. S5). We initially conducted bioassays to compare the antimicrobial production capabilities of these different Streptomyces species carrying either the ermE*-crp construct or the empty vector, using an array of indicator strains (Escherichia coli, Staphylococcus aureus, and Bacillus subtilis). Crp overexpression appeared to stimulate antibiotic production in the wild isolate Streptomyces sp. strain WAC4988, as determined by the enhanced zones of clearing observed for S. aureus and B. subtilis indicator strains (Fig. 4A). We also followed secondary metabolite production using liquid chromatography coupled with mass spectrometry (LC-MS), to determine whether Crp overexpression induced any significant secondary metabolic changes in strains that did not show increased antimicrobial activity. Some of the most striking changes were observed in Streptomyces sp. strain SPB74, where levels of several metabolites were dramatically enhanced in the overexpression strain relative to the control. For example, molecules with m/z values of 620.189 and 638 were increased by >22-fold (day 3) and ~33-fold (day 7), respectively, in the overexpression strain relative to the control (Fig. 4B). These findings support a role for Crp as a global activator of secondary metabolism throughout the streptomycetes. FIG 4  Effect of Crp overexpression on antibiotic production and secondary metabolism in diverse Streptomyces species. (A) Enhanced antibiotic production by Streptomyces sp. strain WAC4988 when overexpressing Crp. Bacillus subtilis was used as an indicator strain. (B) Base peak chromatograms and mass spectra of upregulated metabolite peaks following Crp overexpression in Streptomyces sp. strain SPB74. In the base peak chromatograms, the wild-type strain carrying the empty plasmid is shown in blue, while the Crp overexpression strain is indicated in red. Mass spectra were overlaid on top of the chromatograms. [M + H] indicates the molecular ions in the mass spectra. The numbers above the peaks indicate the mass/charge ratios of the peaks. DISCUSSION Crp is a founding member of the cAMP receptor protein (Crp)/fumarate-nitrate-reductase (FNR) family of regulators and predominantly functions as a transcriptional activator (14). In addition to regulating the catabolite repression pathway in E. coli, Crp also controls a much broader range of cellular functions, including primary metabolism, stress resistance, cell motility, and pathogenesis (31). In S. coelicolor, the function of Crp in spore germination and morphological development has been well documented (19–21). Here, we extend the role of Crp, revealing it to be a central regulator capable of coordinating primary and secondary metabolism and demonstrating that its activity can be coopted to enhance antibiotic production in diverse Streptomyces species. Overexpressing regulators to activate secondary metabolism is a strategy with a history of success. Indeed, most classical “global” antibiotic regulators in S. coelicolor were initially identified through their actinorhodin-stimulatory effects following overexpression (32–34). More recently, activation of “cryptic” antibiotic clusters has been achieved using both directed approaches involving pathway-specific regulator overexpression (e.g., stambomycin activation in Streptomyces ambofaciens [35]) and more-global approaches (e.g., overexpressing a mutant allele of the S. coelicolor antibiotic repressor AbsA1 stimulated new antimicrobial activity in Streptomyces flavopersicus [36]). Crp is highly conserved among streptomycetes and can influence precursor abundance, the activity of pathway-specific regulators, and the expression of metabolic clusters lacking cognate regulators. We found that its overexpression led to increased production of the secondary metabolites Act, Red, and CDA. These data, and the extent of Crp interactions across the genome, indicate that Crp overexpression has the potential to be a powerful, multifaceted avenue for new secondary metabolite production. Crp induction has broad effects on both primary and secondary metabolism. These processes are necessarily intertwined in the streptomycetes, as the precursors and cofactors required for secondary metabolite assembly are supplied by the primary metabolic pathways. Glycolysis leads to the production of acetyl-CoA, which can be directed into the citric acid cycle, or into any number of other biosynthetic pathways, including polyketide synthesis. Here, we find that Crp directly controls the expression of several enzymes contributing to acetyl-CoA accumulation (SCO4921 and SCO5261). The preferred substrate for many polyketide synthase enzymes, however, is malonyl-CoA, whose synthesis requires the activity of an acetyl-CoA carboxylase enzyme complex (ACCase) (37), whose subunits were either directly (accA1 and accA2) or indirectly (accBE) regulated by Crp. Previous genetic studies have implicated both ACCase (38) and the malic enzyme encoded by SCO5261 (37) in actinorhodin production, and recent chemical genetic studies have demonstrated that precursor supply is one factor that limits antibiotic yields (39). In addition to carbon flux, phosphate and nitrogen levels have also been tightly correlated with antibiotic production (40). Phosphate homeostasis in the cell is controlled by the response regulator PhoP, and recent work has shown intriguing cross regulation between PhoP and AfsR (41, 42), where AfsR is a transcription factor that broadly influences antibiotic production in S. coelicolor through its activation of afsS, a small sigma factor-like protein of unknown function (43). We find here that Crp adds an additional dimension to this regulatory interplay: comparisons of previous transcriptomic studies (44, 45) revealed the expression of 24 genes to be affected by both AfsS and PhoP, and of these, nearly half were also influenced by Crp induction in our transcriptomic studies. A further 25 AfsS and 38 PhoP regulon-specific members were also affected by Crp activity (see Fig. S6 in the supplemental material). These findings highlight the complex interplay between nutrient availability and antibiotic production and effectively illustrate the integrated nature of these disparate metabolic processes. An important future goal will be to define the conditions that stimulate Crp activity and to fully elucidate the regulatory networks connecting primary metabolism with secondary metabolism. The ability of Crp to modulate fundamental aspects of primary metabolism while at the same time directly to govern the expression of secondary metabolic gene clusters is reminiscent of DasR activity in S. coelicolor. DasR is a GntR-like regulator that directly controls both antibiotic production and N-acetylglucosamine uptake via the phosphotransferase system (12). The critical difference between Crp and DasR lies at the heart of their regulatory behavior: Crp functions predominantly as an activator, while DasR acts as a repressor (12, 46). Crp induction led to increased expression for the majority of biosynthetic genes in the Red, CDA, yCPK, and SCO6429-38 gene clusters (Fig. 3). It did not have the same extensive effect on the Act cluster, but this is likely due to the nature of Act cluster organization and regulation. There are three operons under ActII-ORF4 control (actVI/actVA, actIII, and actI/actVII/VI/VB), with the highest-affinity binding site being upstream of actVI (47). Expression from the actVI operon was activated after 60 min of Crp induction; this was the final time point examined in our transcriptome profiling experiments, and it is likely that expression of the remaining genes would have been upregulated after this time. It is worth noting that Crp also has repressor activity, as seen for the sesquiterpene antibiotic albaflavenone-encoding genes. Interestingly, Crp induction also led to repression of a gene encoding a related terpene synthase responsible for geosmin production (48), although this effect appeared to be indirect. The increased cAMP levels observed in a crp mutant also suggested a repressive role for Crp in cAMP accumulation; however, this also appears to be indirect, as Crp did not associate with sequences near the cya (adenylate cyclase-encoding) gene, nor did Crp induction impact cya expression in our transcriptomic experiments. In S. coelicolor, Crp exerts its regulatory influence by associating with sequences similar to those identified for Crp in other bacteria (22, 23). In E. coli, these binding sites are typically found immediately upstream or overlapping the −35 promoter element, where Crp binding facilitates RNA polymerase recruitment (31). Here, Crp frequently bound multiple sites within any given region, including at least one intragenic site; intergenic sites were often significantly upstream of any mapped promoter, as was seen for the majority of secondary metabolic clusters shown in Table 1. This unexpected coding sequence association was not restricted to secondary metabolite gene regulation; more than 50% of all Crp-associated sequences were within open reading frames. Crp in E. coli can bind within coding regions; however, these are primarily low-affinity binding sites (16), whereas here, seven of the top 10 interaction scores for Crp were intragenic, and the highest-affinity sites associated with most secondary metabolic genes were within coding regions. Collectively, this suggests a very different mechanism of Crp-mediated gene activation in S. coelicolor than that described for E. coli, as none of these intragenic binding sites appear to be associated with internal promoters, as determined by RNA Seq analyses (M. J. Moody and M. A. Elliot, unpublished data). Intragenic binding is increasingly being observed for transcription factors throughout bacteria: in Salmonella, nearly half of SsrB binding sites are coding region associated (49), and a similar situation has been seen for AbrB and Abh in Bacillus subtilis (50), while in Pseudomonas syringae, the Crp-related Fur protein associates with intragenic sequences with an affinity comparable to that for intergenic sites (51). A major difference in the intragenic binding by these transcription factors, and that of Crp in S. coelicolor, however, is that the intragenic Crp sites were frequently associated with transcriptional effects (both activation and repression), whereas for the other regulators, such effects were not commonly seen (49–51). Our work here reveals an important new role for the well-studied Crp regulator in the control of antibiotic production. To date, Crp is one of the only global antibiotic regulators for which direct regulatory connections to a broad range of secondary metabolic pathways have been established. Furthermore, we have shown that its ability to stimulate secondary metabolite production is not limited to S. coelicolor, and our results suggest that Crp overexpression is a useful strategy for accessing the previously untapped reservoirs of Streptomyces antibiotics and other natural products. MATERIALS AND METHODS Bacterial strains, plasmids, and culture conditions. Streptomyces strains, Escherichia coli strains, and all plasmids/cosmids used in this study are summarized in Table S3 in the supplemental material. Streptomyces strains were grown at 30°C on solid Difco nutrient agar or MS (soy flour-mannitol), R2YE (rich), or R5 (rich) agar media or in liquid R5 medium as described previously (52). E. coli strains were grown at 37°C on or in LB (Luria-Bertani) medium or in liquid 2× YT (yeast-tryptone) broth (52). Antibiotics were added to maintain plasmids when necessary. Strain and plasmid construction. An in-frame deletion of crp was created using REDIRECT technology (48), and mutants were confirmed by PCR. The Δcrp mutant strain was complemented using the wild-type crp gene, with extended upstream (273-bp) and downstream (284-bp) sequences, cloned into the integrating plasmid vector pIJ82 (see Table S3 in the supplemental material). To create a crp-inducible construct, the crp gene was PCR amplified and cloned into the pCR2.1-TOPO vector (Invitrogen) before being subcloned downstream of the tipA promoter in the integrating Streptomyces vector pIJ6902 (see Table S3). A constitutive crp overexpression plasmid was made by cloning the crp gene and its downstream sequence immediately downstream of the ermE* promoter in the pMC500 vector (see Table S3), before excising ermE*-crp and inserting it into pIJ82. Plasmids were introduced into Streptomyces strains via conjugation from the nonmethylating E. coli strain ET12567 containing the conjugation “helper” plasmid pUZ8002 (52). All DNA oligonucleotides used in this study are summarized in Table S4. Crp overexpression, purification, and antibody generation. To create a Crp overexpression plasmid, the crp coding sequence was PCR amplified (see Table S4 in the supplemental material) and ligated into pET15b (see Table S3). The integrity of the resulting construct was confirmed using sequencing before being introduced into E. coli BL21(DE3) (Novagen) (see Table S3). His6-Crp expression was induced overnight at 26°C with 0.5 mM isopropyl-β-d-thiogalactopyranoside (IPTG), before the cells were collected and lysed using a French press. The protein was purified from the resulting cell extract using nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography and was eluted using increasing concentrations of imidazole (100 mM to 500 mM). Purified His6-Crp was used to generate polyclonal antibodies (Cedarlane Labs). To remove His6-tag-reactive species from the crude antiserum, an independent His6-tagged protein (His6-VirB8 protein from Brucella suis) was used. Briefly, the His6-VirB8 protein was immobilized on an Ni-NTA agarose column. The column was washed five times with equilibration buffer (150 mM NaCl, 50 mM Tris-Cl, pH 7.4), after which anti-Crp antiserum was passed through the column, and the flowthrough was collected as the precleared antiserum. The precleared antiserum was then further affinity purified using Ni-NTA-immobilized His6-Crp and was eluted with 2 ml of a high-salt (4 M MgCl2) buffer, before buffer exchange into phosphate-buffered saline (PBS). Cell extract preparation, SDS-PAGE, and immunoblotting. Cell extracts were prepared from Streptomyces cells grown in liquid R5 medium, and Bradford assays were conducted to measure total protein concentrations. The protein extracts were separated using SDS-PAGE and either were stained with Coomassie brilliant blue R-250 (to ensure equivalent protein concentrations in all samples) or were subjected to immunoblotting with anti-Crp polyclonal antibodies (1:2,000) and anti-rabbit IgG horseradish peroxidase (HRP)-conjugated secondary antibodies (1:3,000; Cell Signaling). ChIP and microarray assays. Wild-type strain M145 was grown in liquid R5 medium for 16 h before formaldehyde was added to a final concentration of 1% (vol/vol). To ensure that we were working with cultures grown to similar optical densities (OD), the Δcrp mutant strain was grown for 64 h (this strain exhibits significant delays in germination and very slow vegetative growth) before cross-linking. Cultures were cross-linked at 30°C for 25 min before glycine was added to a concentration of 125 mM to stop the cross-linking. Immunoprecipitation was then carried out as described in reference 53. DNA labeling, hybridization, and microarray scanning were performed by Oxford Gene Technology (OGT) according to their standard protocols. Microarrays consisted of 44,000 60-mer oligonucleotide probes covering the entire genome of S. coelicolor (Oxford Gene Technology, Oxford, United Kingdom), and each strain was examined in duplicate. For each array, the signals of all probes were normalized to the median channel signal for the respective array to correct for any systematic errors. Signal ratios between immunoprecipitated DNA and total reference DNA were obtained for both the wild-type and the mutant strain experiments. A final interaction score was calculated by taking the log2 value of the ratio between the wild-type and the mutant values for each probe. A probe was considered to contain a binding site only when it, and at least one adjacent probe, showed an interaction score 3 times the standard deviation above the median interaction score (1.7). For temporal ChIP experiments, cultures of the Δcrp strain (pIJ6902crp) were grown in liquid R5 medium for 16 h, before thiostrepton was added (to a final concentration of 50 μg/ml) to induce crp expression. Immunoprecipitation was carried out before induction and after 15 and 45 min, as described above. Immunoprecipitated DNA was analyzed using qPCR, as described below, and the threshold cycle (CT ) value was normalized with the total-DNA C T value. The uninduced sample was used to assess the fold change of the DNA levels in the 15- and 45-min samples. Three independent cultures were set up for the ChIP experiments, and qPCRs (reactions described below) for each were done in triplicate. Analyses of variance (ANOVAs) were performed using SPSS v17.0 to test the statistical significance (P value, <0.05) of the results. DNase footprinting. DNA probes were prepared by PCR amplifying the intergenic regions of SCO3570-3571, SCO2976-2977, and SCO4561-4562 using oligonucleotides end labeled with T4 polynucleotide kinase and [γ-32P]ATP. In each binding reaction, 0, 27, or 81 μM Crp protein was incubated with 15,000 cpm of DNA probe at 30°C for 15 min in the presence of 20 mM Tris-Cl (pH 7.8), 5 mM MgCl2, 50 mM KCl, 1 mM dithiothreitol (DTT), 0.1 mM EDTA, 5% glycerol, 0.5 mg/ml bovine serum albumin (BSA), 1 µg poly(dI-dC), and 50 μM cAMP. This was followed by digestion using 0.01 U DNase I (Invitrogen) in a volume of 40 μl at room temperature for 30 s. The digestion buffer contained 10 mM Tris-Cl (pH 7.8), 5 mM MgCl2, and 1 mM CaCl2. One hundred sixty microliters of stop buffer (200 mM NaCl, 30 mM EDTA, 1% SDS) was added to terminate each reaction. Samples were phenol-chloroform extracted and precipitated. Each pellet was dissolved in 13 μl loading dye (80% [vol/vol] formamide, 1 mM EDTA [pH 8.0], 10 mM NaOH, 0.1% [wt/vol] bromophenol blue, 0.1% [wt/vol] xylene cyanol FF) and heated to 95°C for 5 min prior to loading 6 μl on a 6% denaturing polyacrylamide gel. Sequencing reactions were prepared as described in reference 54, except with the PCR-amplified probe sequences as the template. RNA isolation, RT, and qPCR. Cultures of Δcrp(pIJ6902crp) and Δcrp(pIJ6902) strains were grown as described for the temporal ChIP experiments. RNA was harvested from cell aliquots before induction (time zero) and at 15, 30, 45, and 60 min following induction with thiostrepton (50 μg/ml final concentration). Total RNA was harvested as described previously (55), followed by passage through an RNeasy minicolumn (Qiagen). Reverse transcription (RT) reactions were performed as described in reference 56, except with 2 µg of total RNA as the template. Semiquantitative PCRs were also conducted as described in reference 56, and we optimized the number of cycles to ensure that amplification was occurring within the linear range of the reaction (28 cycles for crp and 15 cycles for 16S rRNA). For qPCRs, 1 μl of cDNA was used for each 25 μl qPCR mixture, together with 1× PCR buffer, 2 mM MgSO4, 0.2 mM deoxynucleoside triphosphate (dNTP), 1 mM (each) gene-specific primer, 7.5% dimethyl sulfoxide (DMSO), 0.5 µl SYBR green I dye (50× in DMSO) (Invitrogen), and 1.25 U Taq DNA polymerase (Norgen), using a CFX96 qPCR detection system (Bio-Rad). The cycling conditions used were 95°C for 5 min, 95°C for 30 s, 58 or 60°C for 1 min (annealing), 72°C for 30 s (extension), and 72°C for 10 min, with steps 2 to 4 repeated for 40 cycles. All reactions were performed in triplicate. Transcriptome profiling. RNA samples were prepared as described above in duplicate and were processed and analyzed at the London Regional Genomics Center. cDNA samples were created by reverse transcription and were then biotinylated and fragmented before hybridization to custom-designed Affymetrix GeneChip arrays, as described in reference 40. The hybridized arrays were stained and washed using an Affymetrix Fluidics station 450 and were scanned with an Affymetrix Scanner 3000 7G. Data were analyzed using the Partek Genomics Suite. The log2 values of the signals were normalized to the median value of the respective arrays. The transcriptional fold change of each gene was calculated as the ratio between the induced and the uninduced sample. Selected targets were validated with RT-qPCR, as described above. In addition to the genes of interest, 16S rRNA was included as a reference. For each time point, the C T of a target gene was normalized to the C T of 16S rRNA, which was obtained from the same cDNA. The uninduced (time zero) sample was used to establish a baseline expression level and to determine the fold change in transcript levels at each subsequent point in the time course. ANOVAs were performed using SPSS v17.0 to determine whether the results (microarray and RT-qPCR) were statistically significant (P value, <0.05). Antibiotic production assays. Act and Red production for S. coelicolor M145(pIJ82), Δcrp(pIJ82), Δcrp(pIJ82crp), and M145(pIJ82ermE*crp) strains, grown in liquid R5 medium for 7 days, was quantified spectrophotometrically as described previously (13, 57). Three independent cultures were set up for each strain, and duplicate aliquots from each culture were tested. CDA production bioassays were conducted as outlined in reference 13, except that Streptomyces strains were grown in liquid R5 medium for 48 h. Four replicates were conducted for each strain. CDA production was quantified by measuring the diameter of the inhibition zones. The levels of all antibiotics were normalized relative to the biomass of the mycelia from which the antibiotics were extracted. Antibiotic production by S. coelicolor M145, Streptomyces venezuelae ATCC 10712, Streptomyces pristinaespiralis ATCC 25486, Streptomyces sp. strain SPB74, Streptomyces sp. strain WAC4657, and Streptomyces sp. strain WAC4988 (see Table S3 in the supplemental material), containing pIJ82 or pIJ82ermE*crp (crp overexpression construct), was tested against the following indicator strains: E. coli, Staphylococcus aureus, and Bacillus subtilis. Approximately 106 spores (in 5 μl sterile distilled water) of each strain were spotted on DNA or R2YE agar plates and incubated at 30°C for 48, 72, 96, 120, and 144 h before being overlaid with soft agar (1:1 DNA plus Difco nutrient broth) containing a 100-fold dilution of indicator strain overnight culture in liquid LB medium. The plates were incubated overnight at 37°C before measuring the size of the inhibition zone (distance from the outer edge of each Streptomyces circular patch to the edge of the zone of clearing). Each experiment included four replicates for each strain and was performed three times. Secondary metabolite extraction and analysis. crp-overexpressing Streptomyces strains and their vector-alone-containing controls were spread on R5 agar medium and incubated for 3 and 7 days. The cultures, along with the agar, were diced, soaked in 25 ml n-butanol, and sonicated in a Branson 2520 tabletop ultrasonic cleaner for 3 min before being macerated at room temperature overnight. The mixture was filtered through Whatman filter paper and lyophilized in an HT-4X centrifugal vacuum evaporator (Genevac), followed by reconstitution in 500 μl acetonitrile-distilled water (dH2O) (1:1, high-pressure liquid chromatography [HPLC] grade). R5 agar alone was processed in parallel as a negative control. Each sample was prepared in quadruplicate. LC-MS analysis was performed on an Agilent 1200 series analytical HPLC system equipped with a reverse-phase C18 column (2.1 by 100 mm, 2.6 μm, 100 Å) (Kinetex) coupled to a benchtop time-of-flight spectrometer (Bruker MicroTOF II; Bruker Daltonics). The samples were separated using a gradient of 5% to 95% acetonitrile (0.1% [vol/vol] formic acid) at 50°C over 22 min, with a flow rate of 0.2 ml/min. Positive electrospray ionization was performed at 4.5 kV, and the ions were scanned over a mass range of 200 to 1,700 m/z. Data were analyzed using MZmine 2 software (58). cAMP concentration measurement. Spores of the wild-type, Δcrp, Δcrp(pIJ6902crp), and Δcrp(pIJ6902) strains were pregerminated and cultured in liquid R5 medium. For the wild-type strain, samples were harvested at 12, 16, 20, and 24 h, while for the Δcrp(pIJ6902crp) strain, cultures were induced at 16 h and samples were harvested at 16 (preinduction), 18, 20, and 24 h. Cultures of the negative controls, the Δcrp and Δcrp(pIJ6902) strains, were set up 48 h ahead of the wild-type and Δcrp(pIJ6902crp) strains, respectively, and were then followed using the same time course. At each time point, 7 ml of culture was extracted and cells were pelleted. For determining extracellular cAMP levels, the supernatant was heated at 95°C for 5 min and then diluted 10 (M145)- or 40 [Δcrp(pIJ6902crp)]-fold in work buffer (BTI; Biomedical Technologies). Samples were assayed using a cAMP enzyme immunoassay (EIA) kit (BTI) that allows cAMP quantification in the range of 0.5 to 100 pmol/ml. For quantification of intracellular cAMP, the cell pellets were washed in an equal volume of phosphate-buffered saline (PBS) (0.8% NaCl, 0.02% KCl, 0.15% Na2HPO4, 0.024% KH2PO4, pH 7.4) and resuspended in 1 ml of work buffer (BTI). The mycelia were sonicated on ice and then centrifuged. The cell extract supernatant was heated at 95°C for 5 min before being assayed using the kit. Each strain was examined in duplicate, and the concentrations were normalized relative to the biomass of the mycelium pellets. SUPPLEMENTAL MATERIAL Figure S1 Transcriptional and translational levels of Crp in wild-type cells over a 48-h time course. (A) RNA samples prepared from cells harvested at different time points were subjected to reverse transcription and PCR to evaluate the quantity of crp transcripts. 16S rRNA was included as a control. PCR cycle numbers were optimized (28 for crp, 15 for 16S) to ensure that amplification was occurring within the linear range of the reaction. (B) Cell extracts of the wild-type strain were resolved using SDS-PAGE. Crp protein was detected using immunoblotting. Coomassie blue staining was performed in parallel to ensure equal sample loading in all lanes. (C) cAMP levels in the culture supernatant of wild-type and crp strains were measured using immunoassays over a 20-h time course. Download Figure S1, PDF file, 0.1 MB. Figure S1, PDF file, 0.1 MB Figure S2 Crp interacts with the upstream regions of SCO3571 (crp), SCO4561, and SCO2977 in DNase I footprinting assays. (A) 5′-end-labeled probes were incubated with 0, 27, and 87 μM Crp before being subjected to DNase I digestion and electrophoresis. Adjacent to each of the footprinting reactions are corresponding sequencing ladders. The protected regions are boxed in panel A and are underlined in the sequences shown below. (B) The predicted consensus binding sequence within each of the protected regions is shown in bold. The number in brackets following each sequence indicates the distance to the start codon of the nearest downstream gene. Download Figure S2, PDF file, 0.1 MB. Figure S2, PDF file, 0.1 MB Figure S3 RT-qPCR analysis of genes affected by crp induction. The same RNA samples used in the microarray hybridization experiments were used as the template for reverse transcription reactions, coupled with qPCR, to examine the transcription profiles of selected genes. Gene expression was analyzed before induction (time zero) and 15, 30, 45, and 60 min after crp induction. Tested genes included those involved in secondary metabolism (SCO3217, SCO3230, SCO5079, SCO5085, SCO5877, SCO5878, SCO6271, SCO6275, and SCO5222) and primary metabolism (SCO2776, SCO4921, SCO5144, and SCO5535). All displayed at least a 2-fold change in their transcriptional levels following Crp induction. Asterisks indicate changes in expression that are statistically significant (P value, <0.05) based on ANOVAs. Download Figure S3, PDF file, 0.2 MB. Figure S3, PDF file, 0.2 MB Figure S4 Multiple sequence alignment of Crp family proteins of Streptomyces species. The Crp protein sequences were obtained from StrepDB, NCBI, and Broad Institute websites. An asterisk indicates a fully conserved residue; a colon indicates a strongly conserved residue; a period indicates a weakly conserved residue. The alignment was generated using Clustal W2 on the EMBL-EBI. webserver. (Larkin et al. 2007. Bioinformatics. 23: 2947-2948.) Download Figure S4, PDF file, 0.2 MB. Figure S4, PDF file, 0.2 MB Figure S5 Overexpression of Crp in Streptomyces species carrying ermE*-crp. Wild-type strains containing either the empty vector or the ermE*-crp construct were cultured in liquid R5 medium for 16 h before cell extracts were obtained. Equal amounts of cell extracts from the two strains were resolved using SDS-PAGE, followed by Coomassie blue staining as protein loading controls (bottom) and immunoblotting to check for Crp expression levels (top). In the immunoblots, the band at ~25 kDa corresponds to Crp. The loading order is as follows: 1, Streptomyces sp. strain WAC4988(pIJ82); 2, Streptomyces sp. strain WAC4988(pIJ82ermE*crp); 3, Streptomyces sp. strain SPB74(pIJ82); 4, Streptomyces sp. strain SPB74(pIJ82ermE*crp); 5, Streptomyces sp. strain WAC4657(pIJ82); 6, Streptomyces sp. strain WAC4657(pIJ82ermE*crp); 7, S. coelicolor (pIJ82); 8, S. coelicolor (pIJ82ermE*crp); 9, S. venezuelae (pIJ82); 10, S. venezuelae (pIJ82ermE*crp); 11, S. pristinaespiralis (pIJ82); 12, S. pristinaespiralis (pIJ82ermE*crp). Download Figure S5, PDF file, 0.1 MB. Figure S5, PDF file, 0.1 MB Figure S6 Overlap between the regulons of Crp, PhoP, and AfsS based on transcriptome analysis. (A) The lists of genes affected by PhoP and AfsS were obtained from the work of Lian et al. (W. Lian et al., BMC Genomics 9:56, 2008) and Rodriguez-Garcia et al. (A. Rodriguez-Garcia et al., 2007). (B) Venn diagram showing the overlap between the regulons of Crp, AfsS, and PhoP. Download Figure S6, PDF file, 0.2 MB. Figure S6, PDF file, 0.2 MB Table S1 Functional classification of the genes regulated by Crp-associated sites in ChIP-chip assays. The numbers of genes in each category are shown on the right. Table S1, PDF file, 0.1 MB. Table S2 Functional classification of target genes up- and downregulated by Crp induction in transcriptome profiling assays. The numbers of genes in each category are shown on the right. Table S2, PDF file, 0.1 MB. Table S3 Strains and plasmids used in this study. Table S3, PDF file, 0.1 MB. Table S4 Oligonucleotides used in this study. Table S4, PDF file, 0.1 MB.