RNA-seq reveals the RNA binding proteins, Hfq and RsmA, play various roles in virulence, antibiotic production and genomic flux in Serratia sp. ATCC 39006
© Wilf et al.; licensee BioMed Central Ltd. 2013
Received: 27 August 2013
Accepted: 14 November 2013
Published: 22 November 2013
Serratia sp. ATCC 39006 (S39006) is a Gram-negative enterobacterium that is virulent in plant and animal models. It produces a red-pigmented trypyrrole secondary metabolite, prodigiosin (Pig), and a carbapenem antibiotic (Car), as well as the exoenzymes, pectate lyase and cellulase. Secondary metabolite production in this strain is controlled by a complex regulatory network involving quorum sensing (QS). Hfq and RsmA (two RNA binding proteins and major post-transcriptional regulators of gene expression) play opposing roles in the regulation of several key phenotypes within S39006. Prodigiosin and carbapenem production was abolished, and virulence attenuated, in an S39006 ∆hfq mutant, while the converse was observed in an S39006 rsmA transposon insertion mutant.
In order to define the complete regulon of Hfq and RsmA, deep sequencing of cDNA libraries (RNA-seq) was used to analyse the whole transcriptome of S39006 ∆hfq and rsmA::Tn mutants. Moreover, we investigated global changes in the proteome using an LC-MS/MS approach. Analysis of differential gene expression showed that Hfq and RsmA directly or indirectly regulate (at the level of RNA) 4% and 19% of the genome, respectively, with some correlation between RNA and protein expression. Pathways affected include those involved in antibiotic regulation, virulence, flagella synthesis, and surfactant production. Although Hfq and RsmA are reported to activate flagellum production in E. coli and an adherent-invasive E. coli hfq mutant was shown to have no flagella by electron microscopy, we found that flagellar production was increased in the S39006 rsmA and hfq mutants. Additionally, deletion of rsmA resulted in greater genomic flux with increased activity of two mobile genetic elements. This was confirmed by qPCR and analysis of rsmA culture supernatant revealed the presence of prophage DNA and phage particles. Finally, expression of a hypothetical protein containing DUF364 increased prodigiosin production and was controlled by a putative 5′ cis-acting regulatory RNA element.
Using a combination of transcriptomics and proteomics this study provides a systems-level understanding of Hfq and RsmA regulation and identifies similarities and differences in the regulons of two major regulators. Additionally our study indicates that RsmA regulates both core and variable genome regions and contributes to genome stability.
Serratia spp. are Gram-negative enterobacteria and are opportunistic human, insect, and plant pathogens. Serratia sp. ATCC 39006 (S39006) produces the secondary metabolite, prodigiosin (Pig) which is a linear tripyrrole that confers a characteristic red pigment in colonies of this strain. Prodigiosin is a member of the prodiginines which are of potential clinical and translational interest for their antimicrobial and immunosuppressant properties. Furthermore, an analogue is currently in phase I/II clinical trials for cancer chemotherapy . Additionally, S39006 produces a β-lactam antibiotic; a carbapenem (1-carbapen-2-em-3-carboxylic acid; Car) , and the plant cell wall-degrading exoenzymes, pectate lyase and cellulase . S39006 demonstrates a broad host-range capacity for pathogenesis, being virulent in both animal (Caenorhabditis elegans) and plant (potato) host infection models [4, 5].
The enzymes for prodigiosin and carbapenem production are encoded, respectively, by the pigA-O and carA-H biosynthetic operons [3, 6]. Previous studies have characterized the pathways involved in the biosynthesis and regulation of prodigiosin, revealing a complex regulatory network involving at least 20 genes - some of which also co-regulate carbapenem production [7, 8]. Multiple environmental inputs, including quorum sensing (QS)  and phosphate and gluconate levels , regulate the production of prodigiosin. QS is a mechanism by which bacteria regulate gene expression in response to population cell density via detection of a diffusible signaling molecule. S39006 possesses a LuxIR-type QS system encoded by the smaIR locus. In S39006, the major signaling molecule synthesized by SmaI is N-butanoyl-L-homoserine lactone (BHL) . SmaR is one of several atypical LuxR-type regulators the activity of which is inhibited by their cognate acyl homoserine lactones (AHLs) . At high cell density, SmaR-mediated repression of the pig and car gene clusters is de-repressed by rising BHL levels, resulting in the biosynthesis of prodigiosin and the carbapenem. CarR is a dedicated LuxR homologue that controls, in a uniquely AHL-independent manner, the transcriptional activation of the car operon [6, 11].
Recently, the RNA-binding proteins and post-transcriptional regulators, RsmA and Hfq, were shown to play opposing roles in the regulation of antibiotic production and pathogenesis in S39006  (N. Williamson, submitted). An S39006 ∆hfq mutant failed to make the prodigiosin or the carbapenem and virulence was attenuated in both potato and C. elegans infection models , while an S39006 rsmA transposon insertion mutant showed elevated prodigiosin production and enhanced virulence in these models (N. Williamson, submitted).
In Pseudomonas aeruginosa and P. fluorescens, RsmA, the homologue of E. coli CsrA, plays an important role in regulation of virulence and biocontrol factor production . RsmA represses expression of specific genes by binding to the 5′ untranslated region (UTR) of target mRNAs, preventing translation. This repression is relieved by RsmA binding to the small, noncoding regulatory RNA (sRNA) RsmB, instead of its target mRNAs . Hfq, a hexameric protein that forms a doughnut-like structure, is an RNA chaperone that facilitates the complementary base-pairing between trans-acting sRNAs and target mRNAs. Increasing evidence shows that Hfq and its dependent sRNAs play a fundamental role in the regulation of stress response and pathogenesis .
To define and investigate the regulon(s) of Hfq and RsmA, deep sequencing of cDNA libraries (RNA-seq) was used to analyse changes in gene expression across the whole transcriptome of S39006 ∆hfq and rsmA::Tn, and were compared to global changes in the proteome examined by an LC-MS/MS approach of iTRAQ-labelled peptides. Gene expression analysis revealed that Hfq and RsmA directly or indirectly regulate 4% and 19%, respectively, of the genome at the level of RNA - with some correlation between RNA and protein expression. Several pathways were affected including antibiotic regulation, virulence, and flagella synthesis. In particular, it was observed that RsmA is key to the stability of two mobile genetic elements. The combination of transcriptomics and proteomics provides a systems-level understanding of Hfq and RsmA regulation in S39006.
Results and discussion
Differential expression analysis of the transcriptome of the S39006 hfq and rsmA mutants
RNA-sequencing data mapped to the S39006 genome
Total reads (× 106)
Reads mapped (× 106)
% Reads mapped
Proteome-transcriptome correlations and changes in the car and pig clusters
The results of the RNA-seq differential analysis were compared with changes in global protein expression using quantitative proteomics. Protein was extracted from the WT and hfq strains grown under the same conditions as those used in the RNA-seq analysis and changes in protein expression were investigated using an LC-MS/MS approach of iTRAQ-labelled peptides. Peptides mapped to 1,369 proteins in total and 486 proteins met a cut-off of two or more mapped unique peptides of which 36 (23 decreased; 13 increased) were differentially expressed (P value < 0.1) . The higher cut-off of P value < 0.1 was used due to the increased variance. 14 of the 36 proteins were also differentially expressed in the hfq RNA-seq dataset (FDR < 0.1) (Figure 1C; Additional file 2: Table S5). A comparison of the fold changes (log2 ratio) showed the direction of change was the same for 13 genes (8 decreased and 5 increased at the level of both RNA and protein) which gave a Pearson correlation coefficient of >0.90. Expression of one gene was decreased at the level of protein production but increased for the mRNA transcript, which may indicate a post-transcriptional effect on regulation.
The rsmA mutant proteome was also investigated using the same iTRAQ-based approach in a different study (N. Williamson and J. Ramsay, unpublished). Samples used in the analysis were grown to mid stationary phase (T = 12 hr) compared to early stationary phase for samples investigated by RNA-seq (T = 10 hr). Although the time points are different at which the transcriptome and proteome were investigated during stationary phase, it was still noteworthy to determine if there was any overlap between the two datasets in terms of the direction of fold change at the level of RNA and protein for individual genes. A comparison of the differentially expressed genes in the RNA-seq (FDR < 0.5) and iTRAQ datasets (FDR < 0.1) identified 83 genes that were differentially expressed at the level of both RNA and protein (Figure 1D). The fold changes of 73 of these genes were in the same direction for both RNA and protein (59 decreased; 14 increased), and had a Pearson correlation coefficient of >0.85. For the 10 genes that were regulated in different directions at the level of RNA and protein, 4 showed increased transcript levels but decreased protein expression, and 6 showed decreased transcript levels but increased protein expression. The pigA and pigB genes were among the latter 6 genes and showed reduced (0.51 and 0.43-fold) RNA and increased (1.71 and 1.96-fold) protein production. qPCR analysis confirmed that pigB showed decreased mRNA production. This suggests that altered post-transcriptional regulation of the pig operon might explain that, despite decreased RNA levels, increased translation of prodigiosin biosynthetic enzymes leads to greater prodigiosin production and the observed hyperpigmented phenotype of the rsmA mutant.
A selection of differentially expressed genetic clusters in the hfq and rsmA mutants
Type II secretion
Type IV pilus
Differentially expressed genes in the pig and car clusters
Flagella production increased
Regulation of the electron transport genetic operon
Another set of genes with increased transcript levels in the hfq mutant include seven of 13 genes (2.2 to 3.5-fold) in an operon encoding an NADH dehydrogenase, whereas five of the genes were decreased 0.31 to 0.62-fold in the rsmA mutant. This operon is homologous to the nuo operon of E. coli. This encodes the membrane protein NADH:ubiquinone oxidoreductase I (NDH-1) which is one of two NADH deyhydrogenases, the second being (NDH-2). NDH-1 and NDH-2 catalyze the transfer of an electron from NADH to ubiquinone as part of the electron transport chain in aerobic respiration. However, only electron flow catalysed by NDH-1 generates an electrochemical gradient, while NDH-2 is the predominant respiratory source of H2O2 and O–2, although H2O2 is primarily formed from a source outside the respiratory chain in E. coli[22, 23]. Similarly, a related protein, the NADPH-dependent quinone oxidoreductase, qor, was found to be decreased at the level of both RNA and protein production in the S. typhimurium hfq mutant [16, 24], and E. coli Hfq was shown to be associated with qor DNA . These results suggest that Hfq could mediate the regulation of aerobic respiration and the transfer of electrons to the quinone pool within the cell.
Regulation of prodigiosin regulators
Immediately upstream of the nuo operon is a LysR-family transcriptional regulator referred to as PigU in S39006, expression of which was increased at the level of RNA (3.4-fold) and protein (2.85-fold) in the hfq mutant. This regulator is a homologue of HexS and HexA (h yperproduction of ex oenzymes; 74% and 82% identical) from S. marcescens 274 and P. atrosepticum SCRI1043 (Pat), respectively. HexS was shown to bind to the pigA promoter and reduce prodigiosin production , and expression of HexA from Pat and the related P. carotovorum (Pcc) in S39006 repressed prodigiosin and carbapenem production . Therefore, the increased levels of PigU in the hfq mutant most likely contribute to the repression of prodigiosin production. Pcc HexA also represses exoenzyme production and binds to the promoter of pelC encoding a pectate lyase  and it represses the production of rpoS and RsmB, the small RNA antagonist of RsmA . The HexA homologue in E. coli (LrhA) was shown to repress rpoS expression at the level of translation and represses the transcription of the sRNA RprA . Therefore, increased PigU in the hfq mutant may contribute to the decrease in rpoS transcript levels and exoenzyme production.
Expression of several additional regulators of pigment production, identified in previous studies, were significantly decreased in the rsmA mutant. These include rap, pstS, phoU, rpoS, and vfmE. Rap is a transcriptional regulator of the SlyA family and an activator of secondary metabolism . pstS and phoU form part of the pstSCAB-phoU operon which, when deleted, causes increased hyperpigmentation . rpoS is a sigma factor which is a repressor of secondary metabolism [19, 31]. Finally, vfmE encodes an AraC-type regulator which is an activator of secondary metabolism .
Secretion and pili system regulated by rsmA
Secretion and pili systems involved in exporting virulence factors and attachment, respectively, were also identified as differentially expressed in the rsmA mutant. S39006 encodes Type I, II and III secretion systems (T1SS, T2SS and T3SS). The rsmA mutant showed elevated expression of genes involved in T2SS (1.8 to 3.2-fold) and Type IV pilus (T4P) genes (1.4 to 1.5-fold), whereas a cluster of T3SS genes was unaffected. Four genes in a cluster encoding a Type II (Out) secretion system showed increased expression in the rsmA mutant. However, SecY production was reduced and this protein is part of the SecYEG translocon that acts as a conduit for proteins moving across the inner membrane into the periplasm for subsequent secretion across the outer membrane by the T2SS machinery.
Further investigation of the T4P genes revealed that S39006 possesses an 11 gene cluster (pilLMNOPQRSUVW; 10,806 bp) of which 5 show increased expression in the rsmA mutant. The pil cluster resides within an 82.1 kb putative pathogenicity island (PAI) spanning or 1466 to or 1551 (86 genes total) and is most closely related to the pil cluster within the Yersinia adhesion pathogenicity island (YAPI; 98 kb) found in Y. pseudotuberculosis and Y. enterocolitica, but not Y. pestis. The percent identity with the 11 Pil proteins from Y. pseudotuberculosis ranged from 43% to 61%. The pil gene cluster is also found within the Salmonella enterica pathogenicity island SPI-7 (134 kb), the Pat horizontally acquired island HAI-2 (97.6 kb) [34, 35], and the recently sequenced Erwinia strain Ejp617 which causes bacterial shoot blight of pear in Japan . However, the S39006 pil cluster is not present in related Serratia species. The S39006 PAI contains the characteristic features of a PAI which include: i) insertion between a tRNA-Phe gene downstream of or1551 and a 50 bp partially duplicated copy before or1466 (similar to YAPI and SPI-7), ii) a G + C content of 52.9% which differs from the rest of the genome (49.2%), and, iii) a number of genes encoding products associated with mobile genetic elements, such as integrases and transposases. The S39006 PAI carries 86 ORFs which include a type-I restriction modification system and the capacity to express CRISPR-associated proteins.
Some evidence suggests that the pil cluster promote pathogenesis. The S. enterica pil cluster was shown to encode type IVB pili and a pil – mutant was significantly reduced for invasion into human intestinal cells . Additionally, a Y. pseudotuberculosis pil – mutant was delayed in the killing of mice when administered orally, however it was as virulent as the parental strain when administered intravenously. A survey for the presence of the pil locus showed that it was present in only 38 of 92 (41%) tested strains of Y. pseudotuberculosis. Collyn et al. suggested that the pil cluster may form an “adaptation pathogenicity island” allowing the bacteria to colonize a wider variety of hosts.
Regulation of virulence factors and secreted products
Secreted virulence factors were identified as differentially expressed in the hfq and rsmA mutants. In the rsmA mutant the expression of three genes involved in pectate lyase production was decreased whereas the mRNA of pectate lyase L was increased 4.67-fold which is consistent with the 8.44-fold increase in secreted Pel activity relative to the WT (N. Williamson, in preparation). However, cellulase expression was reduced although secreted Cel activity was marginally increased 1.31-fold. Cellulase and pectate lyase are secreted by the T2SS and the increased expression of the Type 2 (Out) system may explain the apparent increase in detectable Cel activity, despite a decrease in expression of the cognate gene. Interestingly, the gene with the highest fold change (184-fold) is an uncharacterized protein (or1354) that shares 44% aa similarity to the δ-thermostable haemolysin (δ-VPH) of V. cholerae and parahaemolyticus species. The Vibrio species contain four families of haemolysins, including TDH of V. parahaemolyticus and HlyA of V. cholerae which are closely associated with virulence through lysis of cells, notably erythrocytes . However, the role of some haemolysins, such as δ-VPH, is not clear. A study examining the role of δ-VPH in V. cholerae O1 showed that it is a 22.8 kD protein with haemolytic activity on sheep erythrocytes . Haemolytic activity was observed in both whole-cell lysates and supernatant fractions despite the absence of an identifiable signal peptide. Similarly, or1354 is predicted to encode a 22.6 kD protein, but no signal peptide was identified.
Additionally, or1354 is part of a putative operon of four genes (or1352-5) all of which were among the top ten genes with the highest fold-change in the RNA-seq dataset of the rsmA mutant. Proteins encoded by the four genes are most similar to proteins from the plant endosymbiont, Pseudomonas putida W619, and various soil species isolates of Burkholderia. The genes forming the operon (in addition to or1354) include: or1352 encoding taurine catabolism dioxygenase (TauD/TfdA) which in E. coli allows the utilization of taurine as a sulphur source under conditions of sulphate starvation; or1353 encoding an AMP-dependent synthetase and ligase; and or1355 encoding a drug resistance transporter of the Bcr/CflA subfamily.
Additional categories of genes that showed altered expression in the rsmA mutant include efflux transporters important in drug resistance, outer membrane proteins, sigma factors, and stress response genes. The gene or1713 had the second highest increase in expression (83-fold) in the RNA-seq dataset and was matched by a 21-fold increase in protein. It encodes a small putative exported protein (125 aa) and a conserved domain search indicates that it has a helix-hairpin-helix repeat region. Members of this domain subfamily include competence protein ComEA (for transformation by exogenous DNA).
Expression of or0696 (encoding gas vesicle protein GvpA1) was decreased by a factor of 10 in the rsmA mutant, which matched the significant decrease in expression of a gvpA1:uidA reporter in an rsmA::Tn mutant background . Expression of or1347 encoding QueF (involved in queuosine biosynthesis) was reduced by about half in both the rsmA and hfq mutants. These results suggest RsmA regulates very diverse phenotypes including genes connected with the production of intracellular gas vesicles and queuosine products.
Genes involved in surfactant production were also affected. It has been shown that rhlA, encoding a homologue of Pseudomonas aeruginosa RhlA involved in rhamnolipid biosynthesis, showed decreased expression in an hfq mutant and increased expression in a rsmA mutant [12, 17]. Likewise, it was shown in the rsmA dataset that rhlA expression was increased at the level of RNA and protein. Additional genes predicted to be involved in surfactant production were also investigated. The surfactant, serrawettin W2, produced by S. marcescens Db10 (Sma) is encoded by the swrA gene (> 17 kb), predicted to encode a nonribosomal peptide synthase (NRPS), and was identified as the factor inducing the worm, C. elegans, to avoid bacterial lawns of Sma . Interestingly, C. elegans did not display lawn avoidance behaviour toward the S39006 hfq mutant compared to WT, suggesting that surfactant production is affected by the hfq deletion . A BLAST search for homologues of swrA identified or2773 and an operon of five genes (or3032-28; 19.8 kb). The first gene (or3032) in the operon is predicted to encode a cyclic peptide transporter with six transmembrane helices suggesting that it is an inner membrane protein that exports the product synthesized by or3032-28. Expression at the level of RNA was elevated for or3031, or3030, and or2773 (1.64 to 2.30-fold) in the rsmA mutant. qRT-PCR analysis confirmed that expression of or3031 and or2773 was moderately increased in the rsmA mutant, with no significant change for or3030, whereas, for the hfq mutant, or3231-30 showed decreased expression (0.5-fold) with no change for or2773 (Additional file 1: Figure S1). Interestingly, expression of or3032 (encoding the putative transporter) was elevated in the hfq mutant but decreased in the rsmA mutant. Therefore, a decrease in production of the NRPS genes was associated with an increase in expression of the transporter, and vice versa.
RsmA regulates prophage expression
Perhaps one of the most surprising observations for the rsmA mutant is the increased expression of three putative prophage clusters encoding bacteriophage or related genes, including the CI repressor, CII regulator, reverse transcriptase, and lysozyme. These results suggest that RsmA regulates lysogeny in this strain and that the absence of rsmA results in increased expression of prophage genes and perhaps a physiological switch into the lytic cycle.
Some prophages are known to insert into tRNA sites. Of the three prophage clusters in this strain, the third prophage element spans 40.7 kb from or4140 to or4196 (57 genes total) and or4196 is a putative phage integrase. 39 of the 57 genes in this island showed significantly increased expression (1.52 to 3.90-fold) at the level of RNA in the rsmA mutant. This was also confirmed by qRT-PCR for or4140 which showed elevated expression (6.89-fold) in the rsmA mutant, but with no change for the hfq mutant (Additional file 1: Figure S1). A tRNA-Thr gene is located immediately downstream of or4196 and a BLAST search of the tRNA sequence revealed a 46 bp partially duplicated copy before or4140. This suggested that tRNA-Thr is the integration site for this prophage. Prophages that excise from the genome circularize and reconstitute the phage attachment site (attP) while the bacterial genome recombines and forms the bacterial attachment site (attB). Amplification by PCR of the attP and attB sites from WT genomic DNA confirmed the excision and circularization of the prophage through recombination in the genome (Data not shown; Figure 4A). qPCR analysis of the relative copy number of the attP site in the rsmA mutant versus the WT samples revealed that there was a 17-fold increase in the frequency of excision in the rsmA mutant; although there was no increase in copy number for or4140 (a cargo gene), suggesting that the prophage does not replicate within the cell (Figure 4B).
To determine if phage particles were released from the cell, cultures of S39006 were grown to early stationary phase and a phage DNA extraction kit was used to analyse the contents of filtered supernatants. Prophage DNA (but neither host DNA nor DNA of the PAI) was amplified by PCR analysis of the extracted DNA. Additionally, transmission electron microscopy (TEM) of the culture supernatant showed small podoviridae-like phage particles in the rsmA (but not WT) sample - with hexagonal heads 65-70 nm in diameter with some displaying a very short tail at one apex (Figure 4C). Nevertheless, none of the bacterial strains tested showed susceptibility to infection by this or other induced prophages released by S39006. The strains tested included S39006, S. marcescens 274, P. atrosepticum SCRI1043, P. carotovorum subsp. carotovorum, Citrobacter rodentium DBS100, and P. aeruginosa PA01. In summary, the evidence suggests that deletion of rsmA results in increased excision of the prophage, expression of the cargo genes, and release of the prophage from the cell.
Identification of a cis-acting regulatory RNA element
In order to investigate the function and regulation of the CDS, the region where reads mapped in high abundance (−154 bp to +260 bp), the ORF (+1 to +951) and the ORF preceded by the 5′ UTR (−154 bp to +951 bp) were cloned into plasmid vectors and expressed in trans in the WT to determine if there was an impact on prodigiosin production. Interestingly, pigment levels were increased when the CDS was expressed on its own whereas there was no effect when the CDS was expressed with the 5′ UTR or when the region spanning the peak of reads was expressed on its own (Figure 5C). Moreover, when overexpression of the vectors was induced by the addition of IPTG, only the vector expressing the CDS on its own caused a six-fold decrease in the maximal optical density of the culture whereas there was no effect for the vector with the ORF preceded by the 5′UTR. Therefore, the result may indicate the presence of a candidate novel cis-acting regulatory RNA element encoded within the 5′ UTR that prevents transcription elongation of the RNA transcript and expression of the protein.
The protein of or1384 is an uncharacterized protein predicted to contain two domains with the second C-terminal domain identified as conserved for the domain of unknown function PF04016 (DUF364) Pfam family (Additional file 1: Figure S2). Expression of the protein was confirmed by peptides mapping to or1384 detected by mass spectrometry in the iTRAQ proteomic experiment carried out as part of this study. The Dhaf4260 protein from Desulfitobacterium hafniense DCB-2 is the only solved protein structure of the DUF364 family, homologues of which are present in proteobacteria, firmicutes, actinobacteria, cyanobacteria, thermotogae and archaea . The crystal structure of Dhaf4260 revealed that DUF364 is itself a novel combination of two well-known domains, an enolase N-terminal-like fold followed by a Rossmann-like domain, which form a unique catalytic site at the domain interface. An analysis of the genetic context and interdomain cleft suggests that DUF364 enzymes are involved in heavy metal transport and facilitate the synthesis of flavins, pterins, or similar compounds that chelate heavy metals . Therefore it may be possible that the substrate of the or1384 product or another relevant metabolite is the cue detected by the candidate cis-regulatory element to regulate transcription elongation.
In this study the transcriptome of S39006 WT and the hfq and rsmA mutants was characterized and differential expression determined. Transcriptome changes were correlated with altered protein expression that allowed for the characterization of the regulons of two major RNA-binding post-transcriptional regulators. Genes in the categories of secondary metabolism and motility were co-regulated and differentially expressed in both the hfq and rsmA mutants. Surprisingly, expression of the pig cluster was reduced at the level of RNA in both mutants but increased at the level of protein in the rsmA mutant, consistent with the hyperpigmented phenotype. This suggests that RsmA regulates translation of the Pig cluster. The second co-regulated category of genes includes the flagellar and chemotaxis genes which show elevated expression in both mutants. Increased flagellar gene expression is consistent with increased swimming and swarming motility in the rsmA mutant, whereas, paradoxically, the hfq mutant showed decreased motility. This indicates that hfq mutant cells are not able to coordinate movement using their flagella and suggests that Hfq plays a unique role in regulating flagellum production and movement in S39006 that is different from that seen in the taxonomically related E. coli and S. typhimurium. The differential expression analysis also identified Type II secretion and type IV pilus (T4P) systems and virulence factors that showed increased expression in the rsmA mutant and this was consistent with the increased virulence for this strain in both potato tuber rot and C. elegans infection assays. Surprisingly, RsmA regulated the activity of two mobile genetic elements, a pathogenicity island and a putative prophage, resulting in greater genomic flux in its absence. RsmA plays an important role in the regulation of virulence factors in several bacterial pathogens, but, to our knowledge, this is the first report that it also suppresses the activity of mobile genetic elements, assisting genome stability.
The candidate cis-acting regulatory RNA element explored in this study was shown to influence the expression of or1384. Expression of or1384 resulted in an increase of prodigiosin production, which was reduced when preceded by the UTR containing the putative cis-acting regulatory RNA element. Bioinformatic analysis of or1384 indicates that it most likely encodes an enzyme, and therefore one possibility is that the regulatory RNA element is a riboswitch that responds to a metabolic cue related to the function of the ORF. However, analysis of the UTR sequence revealed no matches to other known riboswitch secondary structures or sequences in Rfam .
In summary, this study characterized the regulons of Hfq and RsmA, controlled by two global regulatory RNA-binding proteins, at both an RNA and protein level using transcriptomic and proteomic methods, and has revealed new insights into their regulatory targets.
Bacterial strains and culture conditions
Bacterial strains used in this study include Serratia sp. ATCC 39006 lacA (WT) , and its derivatives NMW7 (rsmA::Tn) and NMW8 (Δhfq) . S39006 WT and derivative strains were grown at 30°C in LB (5 g l-1 yeast extract, 10 g l-1 bacto tryptone and 5 g l-1 NaCl) at 200 r.p.m., or on LB agar supplemented with 1.5% (w/v) agar (LBA) . Bacterial growth (OD600) was measured in a Unicam Helios spectrophotometer at 600 nm.
To test for infection by potential temperate prophage, 10 μl of filter-sterilized supernatant from cultures of WT and rsmA::Tn at early stationary phase growth (10 h, OD600 = 2.0 for WT) was mixed with 100 μl of culture of test strains and 4 ml 0.35% w/v bacto agar, and then poured onto LBA plates to create an overlay. Plates were incubated overnight at the appropriate temperature and examined for plaque formation. Strains tested included S39006, S. marcescens 274, P. atrosepticum SCRI1043, P. carotovorum subsp. carotovorum, Citrobacter rodentium DBS100, and P. aeruginosa PA01.
All DNA manipulations were performed as previously described . DNA was purified using DNA purification kits (Anachem) following the manufacturers’ instructions. Oligonucleotide primers used in this study are listed in Additional file 1: Tables S1 and S2. DNA sequencing was performed at the DNA Sequencing Facility, Department of Biochemistry, University of Cambridge. Nucleotide sequence data were analysed using BLAST and ClustalW [47, 48].
Genomic DNA was extracted using the DNAeasy Tissue kit (Qiagen). Bacteriophage DNA was extracted from filter-sterilized supernatant (450 μl) taken from cultures of WT and rsmA::Tn at early stationary phase growth. The Phase Lock Gel kit (Eppendorf) using 1.5 ml light phase tubes was used to extract phage DNA according to the manufacturer’s instructions.
Total RNA extraction
RNA was extracted from cell cultures (2 ml) taken at early stationary phase (T = 10 hr, or OD600 = 2.0 for WT) growth in LB at 30°C and mixed with 4 mL RNA Later (Ambion). Total RNA was extracted using the hot phenol method as previously described . Precipitated RNA was resuspended in 100 μl H2O and subjected to TURBO DNase digestion according to the manufacturer’s instructions (Ambion). The reaction was incubated at 37°C for 30 min. RNA was extracted with an equal volume of chloroform, precipitated with 2.5 volumes of ethanol, and dissolved in 50 μl H2O. PCR amplification of 16S rRNA before and after DNase digestion confirmed the removal of genomic DNA to below PCR-detectable levels. RNA was quantified using a Nanodrop ND1000 (NanoDrop Technologies) and the quality evaluated using an Agilent Bioanalyser (Agilent Technologies).
cDNA for quantitative RT-PCR was reverse transcribed from extracted RNA with random hexamers and qRT-PCR performed as described previously . Minus reverse transcriptase (RT) controls were performed as a control for DNA contamination. The PCR amplification was performed with an ABI PRISM 7300 real-time PCR system and SYBR green PCR mix. Relative gene expression was obtained using 16S rRNA as the control with mRNA/16S rRNA = 1 in the WT. Oligonucleotides used as primers for quantitative PCR are listed in Additional file 1: Table S2.
qPCR on genomic DNA was performed as follows. 10 ng of genomic DNA was used as template in qPCR reactions. The PCR amplification was performed with an ABI PRISM 7300 real-time PCR system and SYBR green PCR mix. Relative copy number was determined using the delta-delta Ct method with gyrB as the reference gene. The ratio of copies of the sample to the reference gene was calculated as 2Ct,sample/2Ct,gyrB.
Library preparation and Illumina sequencing
Single-stranded (ss) cDNA libraries were prepared and sequenced on the Illumina platform as described previously, but without depletion of 23S and 16S rRNA . Briefly, 1 μg of RNA was used as template for reverse transcription with random hexamer primers and Superscript III reverse transcriptase (RT; Invitrogen) at 45°C for two hours. +RT and –RT reactions were assembled as controls. The + RT reactions were purified using an Illustra AutoSeq G50 spin column (GE Healthcare). PCR amplification of the transcribed genes of 16S rRNA (3916SF/R) and pigB (oNMW27-F/R) from the + RT but not –RT samples confirmed removal of genomic DNA from the RNA sample and successful generation of cDNAs. The synthesized cDNAs were assembled into paired-end sequencing libraries and sequenced on the Illumina GAIIX sequencer with a read length of 76 bp. The sequencing reads have been deposited in the Short Read Archive under the accession numbers ERS003527, 28, 29 (for WT replicates 1, 2, 3); ERS003530, 31, 32 (for hfq replicates 1, 2, 3); and ERS003533, 34, 35 (for rsmA replicates 1, 2, 3).
Mapping of reads and differential expression analysis
Reads were mapped to the reference S39006 genome using the MAQ alignment program. Sequencing and assembly of the S39006 genome (~5 Mb) was carried out during the course of this study (Fineran et al., in press), and a draft version of the genome (accession no. AWXH01000000) was used for mapping of RNA-seq reads and protein identification. The DESeq package in the R software environment was used to calculate digital gene expression from the RNA-seq data and analyze differential gene expression between the WT and the mutants of hfq and rsmA using replicates 1 and 2 of WT, 1 and 3 of hfq, and 2 and 3 of rsmA. Of the three rsmA replicates, much fewer reads mapped from the first one and therefore two replicates per samples were used for consistency in the analysis. The DESeq package models count data using a negative binomial distribution . P values were adjusted for multiple testing using the Benjamini-Hochberg false discovery rate (FDR) correction.
In order to correlate transcriptomic and proteomic changes in the hfq mutant, triplicate cultures of WT and hfq were grown under the same conditions as samples subjected to RNA-seq. Cells from 25 ml cultures at early stationary phase growth in LB were pelleted by centrifugation. Cells were washed with 1 ml phosphate-buffered saline and the cell pellet resuspended in 1.01 ml CHAPS lysis buffer (8 M urea, 4% CHAPS (3-[(3-cholamidopropyl)dimethylammonio]-1-propane-sulphonate), 5 mM magnesium acetate, 10 mM Tris–HCl, pH 8.0) containing 1× protease inhibitor (protease inhibitor cocktail set I, Calbiochem). Cells were sonicated in 10 second bursts (10 seconds on and 20 seconds off) for 5 cycles. Samples were centrifuged first to pellet cell debris and insoluble material and a second time to ensure removal of insoluble material.
Peptide labelling with iTRAQ
Protein samples were precipitated and labelled with isobaric tags for relative or absolute quantitation (iTRAQ) as previously described . Chilled acetone (1.5 ml) was added to 250 μl of soluble protein sample and left at −20°C overnight. Precipitated proteins were collected by centrifugation (3,000 rpm, 10 min) and resuspended in iTRAQ labeling buffer (8 M urea, 2% Triton X100, 0.1% SDS and 25 mM triethyl ammonium bicarbonate (TEAB) pH 8.5). The detergent-compatible BCA protein assay (Pierce, Rockford, IL) was used to determine protein concentration.
iTRAQ labelling was performed using 100 μg protein from each sample or a pooled sample comprising equal amounts of each sample. The pooled protein sample served as an internal reference allowing for a comparison of relative quantitation. First, samples were reduced by the addition of TCEP (4 mM Tris(2-carboxyethyl) phosphine, 20°C, 1 h) and cysteines blocked by the addition of MMTS (8 mM methyl methanethiosulfonate, 20°C 10 minutes). Samples were diluted with 50 mM TEAB (pH 8.5) such that the final urea concentration was below 1 M, digested with trypsin overnight at 37°C (Promega; 2.5 μg added at 0 and 1 h) and lyophilized using a speed vacuum system.
Each lyophilized sample was resuspended in 100 μl labeling buffer (0.25 M TEAB, 75% ethanol), added to one unit of the corresponding iTRAQ reagent and incubated for 1 h at 20°C. Residual reagent was quenched by adding 100 μl water and incubated for a further 15 minutes at 20°C. The samples belonging to the iTRAQ comparisons were then pooled and lyophilized. Pool 1 consisted of samples WT-1, hfq-1, WT-2, and internal pooled sample labelled with iTRAQ tags 114, 115, 116, and 117, respectively. Pool 2 consisted of samples hfq-2, internal pooled sample, hfq-3, and WT-3 labelled with iTRAQ tags 114, 115, 116, and 117, respectively. Sample and pooled replicates were labelled with different tags to take into account the slight differences between the performance of the iTRAQ reporter ions in the mass spectrometer.
Peptides were pre-fractionated by reverse-phase chromatography at high pH. The lyophilized samples were resuspended in 50 μl ammonium formate (20 mM, pH 10.0). The sample was loaded onto a C18 UPLC column (bridged ethyl hybrid, Waters, 2.1 × 150 mm column dimension, 1.7 μm particle size, 130 Å pore size). The peptides were separated and eluted using a 50 min linear gradient of 0-70% ACN at a flow rate of 0.25 ml/min. Eluted peptides were monitored with a diode array detector with a wavelength range of 200–400 nm and were manually collected in fractions at 2 min intervals. 30 fractions were collected per sample and reduced to dryness using a speed vacuum centrifuge. Fractions 8–26 for sample A and fractions 8–24 for sample B were analyzed by liquid chromatography followed by tandem mass spectrometry (LC-MS/MS). Fractions 25–26 for sample B were omitted because of very low peptide abundance.
Peptide data collection was performed using a Q-Tof Premier tandem mass spectrometer (Waters) as described previously . Samples were resuspended in 30 μl 0.1% formic acid. Peptides were separated by a second dimension of reverse-phase chromatography at low pH using a nanoAcquity HPLC pump (Waters) and a Waters Atlantis C18 analytical column (nanoAcquity) (Symmetry C18, 3 μM particle size, 75 μM i.d. × 100 mm). Peptides (1 μl) were injected using an auto sampler into a 10 μl sample loop and then loaded onto a pre-column (Waters Symmetry C18, 5 μM particle size, 180 μM i.d × 20 mm) with 0.1% formic acid at a flow rate of 5 μL/min for 4 minutes. Peptides were concentrated onto the pre-column and residual wash was directed to waste. After this period, the six port valve was switched to allow elution of the peptides at a flow rate of 300 nl/min from the pre-column onto the analytical column. The gradient employed was a 100 min linear gradient of 2-55% ACN. In MS mode, data were collected from m/z 400–1600. The instrument was run in data-dependent acquisition mode which means that following each MS scan, generally, the three most intense peptide ions were selected for MS/MS analysis. MS/MS data were collected between m/z 50–2000. Briefly, peptides were selected for MS/MS based on charge-state recognition (2+ and 3+). MS/MS data were collected for a total of 3 seconds, before the instrument was switched back to MS mode. Peptides which were selected for MS/MS analysis were excluded from re-selection for MS/MS for 300 s.
MS data analysis and protein quantification
The QTof Premier raw files were converted into three file formats: 1) centroided pkl (peak list) format using ProteinLynx Global Server (PLGS) V2.4, 2) mzML format in order to obtain charge state information, and 3) mzXML format which is a universal MS file format created using Masswolf. The information contained in these three file formats was compiled to create an MGF (Mascot Generic Format) file. The MGF file was searched against the S39006 proteome database using the Mascot search algorithm to yield matches of MS/MS spectra to peptides. The S39006 proteome database was generated from the predicted ORFs in the reference genome. Within Mascot, the modifications used were as follows: fixed, iTRAQ 4-plex (K), iTRAQ 4-plex (N-term), methylthio modification (C); variable, oxidation (M), iTRAQ (Y). The MS tolerance was 1 Da, and the MS/MS tolerance was 0.8 Da. Each MGF file was also searched against a decoy proteome database to estimate the false discovery rate.
The search results outputted by Mascot were re-analyzed by Mascot Percolator, a machine learning algorithm that yields peptide/spectrum matches with a more robust false discovery rate . The output of Mascot percolator and the corresponding mzXML file were inputted into iSPY , which matches peptide identifications from the MS/MS spectra with reporter ion peak areas to determine the relative abundance of the peptides. Results were filtered to apply a false discovery rate of 1%.
Preparation and analysis of flagellar protein extracts
Flagellar protein extracts were prepared from S39006 grown to early stationary phase and analyzed by 1D SDS-PAGE. An aliquot of 25 ml cultures was taken and normalized to an OD = 2.0 in 5 ml. Cells were pelleted by centrifugation for 15 minutes at 4000 rpm (4°C) and resuspended in 5 ml PBS pH 7.4. The flagella were sheared from cells kept on ice using a T8 disperser/homogenizer (setting 3, 1 min). The cells were pelleted by centrifugation and protein in the supernatant was precipitated by the addition of 0.55 ml 100% trichloroacetic acid solution to a final concentration of 10% (w/v). Precipitated protein was pelleted by centrifugation at (17,000 rcf, 30 min, 4°C) and the pellet washed with ice cold acetone (1 ml). Protein pellets were resuspended in SDS-PAGE loading buffer (50 μl) and 20 μl analyzed by 10% 1D SDS-PAGE. Protein bands were identified by MALDI-TOF analysis (Protein & Nucleic Acid Chemistry Facility, Dept of Biochemistry).
To prepare cells for examining the flagella by transmission electron microscopy (TEM), strains were grown to early stationary phase and an aliquot of culture was diluted to an OD 0.5 in 1 ml. Cells were pelleted gently by centrifugation at 3,000 rpm in a tabletop microcentrifuge to prevent shearing of flagella and were resuspended in 1 ml PBS.
To prepare phage for imaging, 50 ml cultures of S39006 WT and the NMW7 strain were grown to early stationary phase. Cells were pelleted by centrifugation and the supernatant filter sterilized using 0.22 uM filters. 45 ml of supernatant was applied to ultracentrifugation (16,500 rcf, 1 hr, 4°C). A small pellet was observed and the ultracentrifugation step was repeated (46,000 rcf, 1 hr, 4°C). The supernatant was decanted and the pellet washed with 15 ml of Lambda-dil (10 mM Tris pH 7.4, 5 mM MgSO4). Samples were applied to ultracentrifugation (48,900 rcf, 1 hr, 4°C). The supernatant was decanted and the pellet resuspended in 50 μl Lambda-dil.
EM grids were prepared with Formvar/carbon support films. 5 μl of slightly turbid suspension of cells or phage were pipetted directly onto the film side of the grid and allowed to settle for 30 seconds. An equal volume of the heavy metal stain 1% ammonium molybdate (+ 0.5% trehalose) was added to the grid and immediately drained with cut Whatman no. 1 filter paper. After air drying the grid was observed in the FEI Spirit Biotwin 120 kV transmission electron microscope and images captured on a F415 Tietz CCD camera.
Plasmid construction and prodigiosin assay
To examine the influence of the UTR of or1384 on its expression, various regions of or1384 were amplified by PCR from genomic DNA and cloned into the Eco RI and Hin dIII sites under the IPTG-inducible T5 promoter (which has leaky expression) in the vector pQE80oriT. pNB46 contains the ORF preceded by the 5′UTR (−154 bp to +951 bp relative to the translation start codon); pNB47 contains the 5′UTR and some of the initial ORF (−154 bp to +260 bp); and pNB48 contains only the ORF (+1 to +951). Primers used for PCR are listed in Additional file 1: Table S1.
We thank the members of the Salmond, Welch, Dougan, and Lilley groups for helpful discussions, and Alison Rawlinson for excellent technical assistance. We also acknowledge the core sequencing and informatics teams at the Sanger Institute for their assistance. We are also grateful to Peter Fineran and Josh Ramsay for sequencing the S39006 genome and sharing draft assemblies of the genome. This work was supported by the BBSRC and Wellcome Trust, N. M. W. was supported by a Gates Cambridge Scholarship.
- Williamson NR, Fineran PC, Gristwood T, Chawrai SR, Leeper FJ, Salmond GPC: Anticancer and immunosuppressive properties of bacterial prodiginines. Future Microbiol. 2007, 2: 605-618. 10.2217/174609220.127.116.115.View ArticlePubMedGoogle Scholar
- Coulthurst SJ, Barnard AML, Salmond GPC: Regulation and biosynthesis of carbapenem antibiotics in bacteria. Nat Rev Microbiol. 2005, 3 (4): 295-306. 10.1038/nrmicro1128.View ArticlePubMedGoogle Scholar
- Slater H, Crow M, Everson L, Salmond GPC: Phosphate availability regulates biosynthesis of two antibiotics, prodigiosin and carbapenem, in Serratia via both quorum-sensing-dependent and -independent pathways. Mol Microbiol. 2003, 47 (2): 303-320.View ArticlePubMedGoogle Scholar
- Coulthurst SJ, Kurz CL, Salmond GPC: luxS mutants of Serratia defective in autoinducer-2-dependent 'quorum sensing' show strain-dependent impacts on virulence and production of carbapenem and prodigiosin. Microbiology. 2004, 150 (Pt 6): 1901-1910.View ArticlePubMedGoogle Scholar
- Crow MA: The genetic regulation of pigment and antibiotic biosynthesis in Serratia sp. 2001, Cambridge: The University of CambridgeGoogle Scholar
- Thomson NR, Crow MA, McGowan SJ, Cox A, Salmond GP: Biosynthesis of carbapenem antibiotic and prodigiosin pigment in Serratia is under quorum sensing control. Mol Microbiol. 2000, 36 (3): 539-556.View ArticlePubMedGoogle Scholar
- Williamson NR, Simonsen HT, Ahmed RAA, Goldet G, Slater H, Woodley L, Leeper FJ, Salmond GPC: Biosynthesis of the red antibiotic, prodigiosin, in Serratia: identification of a novel 2-methyl-3-n-amyl-pyrrole (MAP) assembly pathway, definition of the terminal condensing enzyme, and implications for undecylprodigiosin biosynthesis in Streptomyces. Mol Microbiol. 2005, 56 (4): 971-989. 10.1111/j.1365-2958.2005.04602.x.View ArticlePubMedGoogle Scholar
- Fineran PC, Slater H, Everson L, Hughes K, Salmond GPC: Biosynthesis of tripyrrole and beta-lactam secondary metabolites in Serratia: integration of quorum sensing with multiple new regulatory components in the control of prodigiosin and carbapenem antibiotic production. Mol Microbiol. 2005, 56 (6): 1495-1517. 10.1111/j.1365-2958.2005.04660.x.View ArticlePubMedGoogle Scholar
- Fineran PC, Everson L, Slater H, Salmond GPC: A GntR family transcriptional regulator (PigT) controls gluconate-mediated repression and defines a new, independent pathway for regulation of the tripyrrole antibiotic, prodigiosin, in Serratia. Microbiology. 2005, 151 (Pt 12): 3833-3845.View ArticlePubMedGoogle Scholar
- Tsai C-S, Winans SC: LuxR-type quorum-sensing regulators that are detached from common scents. Mol Microbiol. 2010, 77 (5): 1072-1082. 10.1111/j.1365-2958.2010.07279.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Poulter S, Carlton TM, Spring DR, Salmond GPC: The Serratia LuxR family regulator CarR(39006) activates transcription independently of cognate quorum sensing signals. Mol Microbiol. 2011, 80: 1120-1131. 10.1111/j.1365-2958.2011.07634.x.View ArticlePubMedGoogle Scholar
- Wilf NM, Williamson NR, Ramsay JP, Poulter S, Bandyra KJ, Salmond GPC: The RNA chaperone, Hfq, controls two luxR-type regulators and plays a key role in pathogenesis and production of antibiotics in Serratia sp. ATCC 39006. Environ Microbiol. 2011, 13 (10): 2649-2666. 10.1111/j.1462-2920.2011.02532.x.View ArticlePubMedGoogle Scholar
- Lapouge K, Schubert M, Allain FH-T, Haas D: Gac/Rsm signal transduction pathway of gamma-proteobacteria: from RNA recognition to regulation of social behaviour. Mol Microbiol. 2008, 67 (2): 241-253.View ArticlePubMedGoogle Scholar
- Majdalani N, Vanderpool CK, Gottesman S: Bacterial small RNA regulators. Crit Rev Biochem Mol Biol. 2005, 40 (2): 93-113. 10.1080/10409230590918702.View ArticlePubMedGoogle Scholar
- Chao Y, Vogel J: The role of Hfq in bacterial pathogens. Curr Opin Microbiol. 2010, 13 (1): 24-33. 10.1016/j.mib.2010.01.001.View ArticlePubMedGoogle Scholar
- Sittka A, Lucchini S, Papenfort K, Sharma CM, Rolle K, Binnewies TT, Hinton JCD, Vogel J: Deep sequencing analysis of small noncoding RNA and mRNA targets of the global post-transcriptional regulator, Hfq. PLoS Genet. 2008, 4 (8): e1000163-10.1371/journal.pgen.1000163.PubMed CentralView ArticlePubMedGoogle Scholar
- Williamson NR, Fineran PC, Ogawa W, Woodley LR, Salmond GPC: Integrated regulation involving quorum sensing, a two-component system, a GGDEF/EAL domain protein and a post-transcriptional regulator controls swarming and RhlA-dependent surfactant biosynthesis in Serratia. Environ Microbiol. 2008, 10 (5): 1202-1217. 10.1111/j.1462-2920.2007.01536.x.View ArticlePubMedGoogle Scholar
- Ross PL, Huang YN, Marchese JN, Williamson B, Parker K, Hattan S, Khainovski N, Pillai S, Dey S, Daniels S: Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol Cell Proteomics. 2004, 3 (12): 1154-1169. 10.1074/mcp.M400129-MCP200.View ArticlePubMedGoogle Scholar
- Wilf NM, Salmond GPC: The stationary phase sigma factor, RpoS, regulates the production of a carbapenem antibiotic, a bioactive prodigiosin and virulence in the enterobacterial pathogen Serratia sp. ATCC 39006. Microbiology. 2012, 158 (Pt 3): 648-658.View ArticlePubMedGoogle Scholar
- Simonsen KT, Nielsen G, Bjerrum JV, Kruse T, Kallipolitis BH, Møller-Jensen J: A Role for the RNA Chaperone Hfq in Controlling Adherent-Invasive Escherichia coli Colonization and Virulence. PLoS ONE. 2011, 6 (1): e16387-10.1371/journal.pone.0016387.PubMed CentralView ArticlePubMedGoogle Scholar
- Schiano CA, Bellows LE, Lathem WW: The small RNA chaperone Hfq is required for the virulence of Yersinia pseudotuberculosis. Infect Immun. 2010, 78 (5): 2034-2044. 10.1128/IAI.01046-09.PubMed CentralView ArticlePubMedGoogle Scholar
- Messner KR, Imlay JA: The Identification of Primary Sites of Superoxide and Hydrogen Peroxide Formation in the Aerobic Respiratory Chain and Sulfite Reductase Complex of Escherichia coli. J Biol Chem. 1999, 274 (15): 10119-10128. 10.1074/jbc.274.15.10119.View ArticlePubMedGoogle Scholar
- Seaver LC, Imlay JA: Are Respiratory Enzymes the Primary Sources of Intracellular Hydrogen Peroxide?. J Biol Chem. 2004, 279 (47): 48742-48750. 10.1074/jbc.M408754200.View ArticlePubMedGoogle Scholar
- Ansong C, Yoon H, Porwollik S, Mottaz-Brewer H, Petritis BO, Jaitly N, Adkins JN, Mcclelland M, Heffron F, Smith RD: Global systems-level analysis of Hfq and SmpB deletion mutants in Salmonella: implications for virulence and global protein translation. PLoS ONE. 2009, 4 (3): e4809-10.1371/journal.pone.0004809.PubMed CentralView ArticlePubMedGoogle Scholar
- Updegrove TB, Correia JJ, Chen Y, Terry C, Wartell RM: The stoichiometry of the Escherichia coli Hfq protein bound to RNA. RNA. 2011, 17: 489-500. 10.1261/rna.2452111.PubMed CentralView ArticlePubMedGoogle Scholar
- Tanikawa T, Nakagawa Y, Matsuyama T: Transcriptional downregulator hexS controlling prodigiosin and serrawettin W1 biosynthesis in Serratia marcescens. Microbiol Immunol. 2006, 50: 587-596. 10.1111/j.1348-0421.2006.tb03833.x.View ArticlePubMedGoogle Scholar
- Harris SJ, Shih YL, Bentley SD, Salmond GP: The hexA gene of Erwinia carotovora encodes a LysR homologue and regulates motility and the expression of multiple virulence determinants. Mol Microbiol. 1998, 28 (4): 705-717.View ArticlePubMedGoogle Scholar
- Mukherjee A, Cui Y, Ma W, Liu Y, Chatterjee AK: hexA of Erwinia carotovora ssp. carotovora strain Ecc71 negatively regulates production of RpoS and rsmB RNA, a global regulator of extracellular proteins, plant virulence and the quorum-sensing signal, N-(3-oxohexanoyl)-L-homoserine lactone. Environ Microbiol. 2000, 2 (2): 203-215. 10.1046/j.1462-2920.2000.00093.x.View ArticlePubMedGoogle Scholar
- Peterson CN, Carabetta VJ, Chowdhury T, Silhavy TJ: LrhA regulates rpoS translation in response to the Rcs phosphorelay system in Escherichia coli. J Bacteriol. 2006, 188 (9): 3175-3181. 10.1128/JB.188.9.3175-3181.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Thomson NR, Cox A, Bycroft BW, Stewart GS, Williams P, Salmond GP: The rap and hor proteins of Erwinia, Serratia and Yersinia: a novel subgroup in a growing superfamily of proteins regulating diverse physiological processes in bacterial pathogens. Mol Microbiol. 1997, 26 (3): 531-544. 10.1046/j.1365-2958.1997.5981976.x.View ArticlePubMedGoogle Scholar
- Heeb S, Valverde C, Gigot-Bonnefoy C, Haas D: Role of the stress sigma factor RpoS in GacA/RsmA-controlled secondary metabolism and resistance to oxidative stress in Pseudomonas fluorescens CHA0. FEMS Microbiol Lett. 2005, 243 (1): 251-258. 10.1016/j.femsle.2004.12.008.View ArticlePubMedGoogle Scholar
- Wilf NM: The role of post-transcriptional regulators in pathogenesis and secondary metabolite production in Serratia sp. ATCC 39006. 2011, Cambridge: The University of CambridgeGoogle Scholar
- Collyn F, Billault A, Mullet C, Simonet M, Marceau M: YAPI, a new Yersinia pseudotuberculosis pathogenicity island. Infect Immun. 2004, 72 (8): 4784-4790. 10.1128/IAI.72.8.4784-4790.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Seth-Smith HMB: SPI-7: Salmonella's Vi-encoding Pathogenicity Island. J Infect Dev Ctries. 2008, 2 (4): 267-271.View ArticlePubMedGoogle Scholar
- Bell KS, Sebaihia M, Pritchard L, Holden MTG, Hyman LJ, Holeva MC, Thomson NR, Bentley SD, Churcher LJC, Mungall K: Genome sequence of the enterobacterial phytopathogen Erwinia carotovora subsp. atroseptica and characterization of virulence factors. Proc Natl Acad Sci U S A. 2004, 101 (30): 11105-11110. 10.1073/pnas.0402424101.PubMed CentralView ArticlePubMedGoogle Scholar
- Park DH, Thapa SP, Choi B-S, Kim W-S, Hur JH, Cho JM, Lim J-S, Choi I-Y, Lim CK: Complete genome sequence of Japanese erwinia strain ejp617, a bacterial shoot blight pathogen of pear. J Bacteriol. 2011, 193 (2): 586-587. 10.1128/JB.01246-10.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang XL, Tsui IS, Yip CM, Fung AW, Wong DK, Dai X, Yang Y, Hackett J, Morris C: Salmonella enterica serovar Typhi uses type IVB pili to enter human intestinal epithelial cells. Infect Immun. 2000, 68 (6): 3067-3073. 10.1128/IAI.68.6.3067-3073.2000.PubMed CentralView ArticlePubMedGoogle Scholar
- Collyn F, Léty M-A, Nair S, Escuyer V, Ben Younes A, Simonet M, Marceau M: Yersinia pseudotuberculosis harbors a type IV pilus gene cluster that contributes to pathogenicity. Infect Immun. 2002, 70 (11): 6196-6205. 10.1128/IAI.70.11.6196-6205.2002.PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang X-H, Austin B: Haemolysins in Vibrio species. J Appl Microbiol. 2005, 98 (5): 1011-1019. 10.1111/j.1365-2672.2005.02583.x.View ArticlePubMedGoogle Scholar
- Fallarino A, Attridge SR, Manning PA, Focareta T: Cloning and characterization of a novel haemolysin in Vibrio cholerae O1 that does not directly contribute to the virulence of the organism. Microbiology. 2002, 148 (Pt 7): 2181-2189.View ArticlePubMedGoogle Scholar
- Ramsay JP, Williamson NR, Spring DR, Salmond GPC: A quorum-sensing molecule acts as a morphogen controlling gas vesicle organelle biogenesis and adaptive flotation in an enterobacterium. Proc Natl Acad Sci U S A. 2011, 108 (36): 14932-14937. 10.1073/pnas.1109169108.PubMed CentralView ArticlePubMedGoogle Scholar
- Pradel E, Zhang Y, Pujol N, Matsuyama T, Bargmann CI, Ewbank JJ: Detection and avoidance of a natural product from the pathogenic bacterium Serratia marcescens by Caenorhabditis elegans. Proc Natl Acad Sci U S A. 2007, 104 (7): 2295-2300. 10.1073/pnas.0610281104.PubMed CentralView ArticlePubMedGoogle Scholar
- Miller MD, Aravind L, Bakolitsa C, Rife CL, Carlton D, Abdubek P, Astakhova T, Axelrod HL, Chiu HJ, Clayton T: Structure of the first representative of Pfam family PF04016 (DUF364) reveals enolase and Rossmann-like folds that combine to form a unique active site with a possible role in heavy-metal chelation. Acta Crystallogr Sect F: Struct Biol Cryst Commun. 2010, 66 (Pt 10): 1167-1173.View ArticleGoogle Scholar
- Gardner PP, Daub J, Tate JG, Nawrocki EP, Kolbe DL, Lindgreen S, Wilkinson AC, Finn RD, Griffiths-Jones S, Eddy SR: Rfam: updates to the RNA families database. Nucleic Acids Res. 2009, 37: D136-D140. 10.1093/nar/gkn766.PubMed CentralView ArticlePubMedGoogle Scholar
- Miller JH: Experiments in molecular genetics. 1972, New York, NY: Cold Spring Harbour Laboratory PressGoogle Scholar
- Sambrook J, Fritsch E, Maniatis T: Molecular cloning: a laboratory manual. 1989, New York, NY: Cold Spring Harbour Laboratory PressGoogle Scholar
- Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997, 25 (17): 3389-3402. 10.1093/nar/25.17.3389.PubMed CentralView ArticlePubMedGoogle Scholar
- Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, Valentin F, Wallace IM, Wilm A, Lopez R: Clustal W and Clustal X version 2.0. Bioinformatics. 2007, 23 (21): 2947-2948. 10.1093/bioinformatics/btm404.View ArticlePubMedGoogle Scholar
- Mattatall NR, Sanderson KE: Salmonella typhimurium LT2 possesses three distinct 23S rRNA intervening sequences. J Bacteriol. 1996, 178 (8): 2272-2278.PubMed CentralPubMedGoogle Scholar
- Croucher N, Fookes M, Perkins T, Turner D, Marguerat S, Keane T, Quail M, He M, Assefa S, Bähler J: A simple method for directional transcriptome sequencing using Illumina technology. Nucleic Acids Res. 2009, 37: e148-10.1093/nar/gkp811.PubMed CentralView ArticlePubMedGoogle Scholar
- Anders S, Huber W: Differential expression analysis for sequence count data. Genome Biol. 2010, 11 (10): R106-10.1186/gb-2010-11-10-r106.PubMed CentralView ArticlePubMedGoogle Scholar
- Castrillo JI, Zeef LA, Hoyle DC, Zhang N, Hayes A, Gardner DCJ, Cornell MJ, Petty J, Hakes L, Wardleworth L: Growth control of the eukaryote cell: a systems biology study in yeast. J Biol. 2007, 6 (2): 4-10.1186/jbiol54.PubMed CentralView ArticlePubMedGoogle Scholar
- Karp NA, Huber W, Sadowski PG, Charles PD, Hester SV, Lilley KS: Addressing accuracy and precision issues in iTRAQ quantitation. Mol Cell Proteomics. 2010, 9: 1885-1897. 10.1074/mcp.M900628-MCP200.PubMed CentralView ArticlePubMedGoogle Scholar
- Brosch M, Yu L, Hubbard T, Choudhary J: Accurate and sensitive peptide identification with Mascot Percolator. J Proteome Res. 2009, 8 (6): 3176-3181. 10.1021/pr800982s.PubMed CentralView ArticlePubMedGoogle Scholar
- Gutteridge A, Pir P, Castrillo JI, Charles PD, Lilley KS, Oliver SG: Nutrient control of eukaryote cell growth: a systems biology study in yeast. BMC Biol. 2010, 8: 68-10.1186/1741-7007-8-68.PubMed CentralView ArticlePubMedGoogle Scholar
- Demarre G, Guérout A-M, Matsumoto-Mashimo C, Rowe-Magnus DA, Marlière P, Mazel D: A new family of mobilizable suicide plasmids based on broad host range R388 plasmid (IncW) and RP4 plasmid (IncPalpha) conjugative machineries and their cognate Escherichia coli host strains. Res Microbiol. 2005, 156 (2): 245-255. 10.1016/j.resmic.2004.09.007.View ArticlePubMedGoogle Scholar
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