Staphylococcus aureus is a leading cause of community-associated and nosocomial infections. Imperative to the success of S. aureus is the ability to adapt and utilize nutrients that are readily available. Genomic sequencing suggests that S. aureus has the genes required for synthesis of all twenty amino acids. However, in vitro experimentation demonstrates that staphylococci have multiple amino acid auxotrophies, including arginine. Although S. aureus possesses the highly conserved anabolic pathway that synthesizes arginine via glutamate, we demonstrate here that inactivation of ccpA facilitates the synthesis of arginine via the urea cycle utilizing proline as a substrate. Mutations within putA, rocD, arcB1, argG and argH abolished the ability of S. aureus JE2 ccpA::tetL to grow in the absence of arginine, whereas an interruption in argJBCF, arcB2, or proC had no effect. Furthermore, nuclear magnetic resonance demonstrated that JE2 ccpA::ermB produced 13C5 labeled arginine when grown with 13C5 proline. Taken together, these data support the conclusion that S. aureus synthesizes arginine from proline during growth on secondary carbon sources. Furthermore, although highly conserved in all sequenced S. aureus genomes, the arginine anabolic pathway (ArgJBCDFGH) is not functional under in vitro growth conditions. Finally, a mutation in argH attenuated virulence in a mouse kidney abscess model in comparison to wild type JE2 demonstrating the importance of arginine biosynthesis in vivo via the urea cycle. However, mutations in argB, argF, and putA did not attenuate virulence suggesting both the glutamate and proline pathways are active and they, or their pathway intermediates, can complement each other in vivo.
Although Staphylococcus aureus encodes the highly conserved arginine biosynthesis pathway via glutamate, arginine is an essential amino acid. We found that a mutation in ccpA, a gene encoding a protein facilitating carbon catabolite repression, mediates arginine biosynthesis under in vitro growth conditions. However, both genetic and biochemical evidence suggested that a S. aureus ccpA mutant synthesizes arginine via proline and the urea cycle, a pathway not demonstrated in bacteria before. Furthermore, an animal model of S. aureus infection demonstrated the importance of arginine biosynthesis in vivo. This new pathway sheds light on important host-pathogen interactions and suggests S. aureus has evolved to address arginine depletion in the host by synthesizing arginine from a readily available substrate such as proline.
Citation: Nuxoll AS, Halouska SM, Sadykov MR, Hanke ML, Bayles KW, Kielian T, et al. (2012) CcpA Regulates Arginine Biosynthesis in Staphylococcus aureus through Repression of Proline Catabolism. PLoS Pathog 8(11): e1003033. https://doi.org/10.1371/journal.ppat.1003033
Editor: Michael S. Gilmore, Harvard Medical School, United States of America
Received: March 21, 2012; Accepted: October 1, 2012; Published: November 29, 2012
Copyright: © 2012 Nuxoll et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The Protein Structure Core Facility, University of Nebraska Medical Center, is supported by the Nebraska Research Initiative. This work is supported in part by funds from NIH/NIAID P01A1083211 to P.D.F, K.W.B, and T.K and the NIH National Center for Research Resources to R.P. (P20 RR-17675). NMR analyses were performed in facilities renovated with support from NIH (RR015468-01) provided funding for this work. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Staphylococcus aureus is a common cause of skin and soft tissue infections; however more serious complications such as bacteremia, osteomyelitis, endocarditis, and necrotizing pneumonia can occur . During infection, S. aureus must catabolize diverse carbon sources including carbohydrates, proteins and lipids; therefore, multiple global regulators, including CcpA and CodY, subsequently regulate carbon flow , , . Thus, regulation of carbon flow through central metabolism and other metabolic pathways has a direct link to expression and synthesis of virulence factors , , .
It has been known for over 70 years that S. aureus exhibits multiple amino acid auxotrophies, including arginine, valine, proline, cysteine, and leucine , . Complicating the picture, in 1937, Gladstone demonstrated that multiple strains of S. aureus could be trained to grow in a chemically-defined broth lacking all twenty amino acids through extended incubation . These data suggested that S. aureus was indeed a prototroph but repressed biosynthesis of certain amino acids. In support of this, bioinformatic analyses of the S. aureus genome revealed an apparently complete repertoire of biosynthetic operons needed to synthesize all 20 amino acids . Included in these are the genes encoding the arginine biosynthetic pathway argJBCDFGH where arginine is synthesized from glutamate . This pathway is highly conserved among a wide array of bacteria, including Escherichia coli, Salmonella enterica serotype Typhimurium, Proteus mirabilis, Bacillus subtilis, and Streptomyces clavuligerus among others , , .
Although B. subtilis synthesizes proline from glutamate , , , S. aureus preferentially utilizes arginine rather than glutamate as a precursor for proline biosynthesis via arginase (RocF), ornithine aminotransferase (RocD), and P5C reductase (ProC) . Furthermore, Li and colleagues recently reported that proline biosynthesis is regulated through CcpA-mediated carbon catabolite repression at both rocF and rocD . Carbon catabolite repression allows bacteria to preferentially utilize preferred carbon sources and therefore increase the organism's fitness . The trans-acting carbon catabolite protein CcpA in a complex with Hpr binds to cis-acting DNA sequences known as catabolite responsive elements (CRE) , , , . In the presence of a preferred carbon source, HprK phosphorylates the Ser-46 position of Hpr and once phosphorylated, Hpr binds to CcpA , , .
In this study, we utilized genetic and biochemical approaches to examine arginine auxotrophy in S. aureus. bursa aurealis transposon mutagenesis identified CcpA as a regulator of arginine biosynthesis. However, instead of de-repressing the conserved arginine biosynthesis pathway (ArgJBCDFGH) via glutamate, S. aureus JE2 ccpA synthesized arginine from proline via the urea cycle. To the best of our knowledge, this is the first report of bacteria utilizing proline for arginine biosynthesis, which may indicate a predilection to degrade and utilize proteins rich in proline (i.e. collagen) during an S. aureus infection for use in arginine biosynthesis. Utilization of proline to synthesize arginine demonstrates the resourcefulness of S. aureus and its ability to rapidly evolve to utilize nutrients that are readily available in the environment.
Arginine Auxotrophy in Staphylococcus aureus
To examine arginine auxotrophy in S. aureus, eighty-two clinical S. aureus isolates collected from positive blood cultures at the University of Nebraska Medical Center were grown on Complete Defined Medium (CDM) with and without arginine. Similar to observations by Emmett and Kloos, only one S. aureus isolate (SA2126) had the ability to grow on CDM lacking arginine (CDM-R) following 48 h incubation, whereas all isolates grew on CDM containing arginine further confirming the arginine auxotrophic nature of S. aureus . Furthermore, a community-associated S. aureus USA300 strain JE2 (Table S1) was unable to grow on CDM-R following 48 h incubation at 37°C. To extend these observations, JE2 was grown to stationary phase in CDM broth (5×109 CFU) and plated on CDM-R and CDM lacking proline (CDM-P). Similar to the observations of Li and colleagues , S. aureus JE2 reverted to proline prototrophy at a rate of 1×10−6; however, no colonies were isolated on CDM-R following five experimental attempts. Nevertheless, similar to observations by Gladstone, slight growth of JE2 was observed following five days of incubation in CDM-R broth . These observations suggest that S. aureus has the inherent ability to synthesize arginine upon extended selection; however, the phenotype is not easily selected during growth in medium replete with amino acids.
Regulation of Arginine Biosynthesis by Carbon Catabolite Repression
Based on our observations that growth in CDM-R could be selected through extended incubation, we hypothesized that arginine biosynthesis was under transcriptional repression. Therefore, we screened a random bursa aurealis transposon library to isolate JE2 mutants able to grow on CDM-R. Two mutants were isolated that had the ability to grow on CDM-R; subsequent sequencing of the bursa aurealis insertions found they had inserted in hprK and ccpA. Both HprK and CcpA function to control carbon catabolite repression (CCR) in gram-positive bacteria . Therefore, to completely eliminate CCR, a ccpA allelic replacement mutant was generated in JE2 through 80α transduction of the ccpA::tetL allele from MST14 (kind gift of M. Bischoff). As predicted, growth analysis in CDM-R demonstrated that JE2 ccpA::tetL enters exponential phase between 7–12 h and reaches a maximum OD600 of 4.5 after 24 h, whereas no growth was observed with wild type JE2 in CDM-R (Figure 1). Importantly, introduction of the ccpA complementation plasmid pNF266 abrogated growth of JE2 ccpA::tetL.
Growth analysis of JE2, JE2 ccpA::tetL, and JE2 ccpA::tetL/pNF266 (ccpA complement) in complete defined medium lacking arginine (CDM-R). Isolates were grown aerobically using a 10∶1 flask to volume ratio. S. aureus strains containing a functional ccpA are unable to grow in CDM-R. Data represent means ± SEM of three independent experiments.
To further support the hypothesis that CCR functions to repress arginine biosynthesis, JE2 was grown in CDM-R lacking glucose but containing other, non-preferred carbon sources (Figure 2). Since CCR is alleviated when S. aureus is grown in media containing a non-preferred carbon source, it was hypothesized that JE2 would grow in CDM-R when glucose was replaced with a secondary carbon source. These experiments demonstrated that arabinose, sorbitol and pyruvate were able to support growth of JE2 when added to CDM-R (Figure 2). In contrast, glucose, fructose, glycerol, sucrose, mannitol, maltose, salicin, gluconic acid, and ribose were unable to support growth in CDM-R suggesting these carbohydrates do not derepress CcpA in JE2. In agreement with our results, Li and colleagues also determined that replacement of glucose with arabinose or sorbitol abrogated CcpA-mediated repression in S. aureus Newman and functioned to activate proline biosynthesis . Overall, these data demonstrate that CCR functions to repress arginine biosynthesis, suggesting that arginine biosynthesis is linked to growth in niches where preferred carbon sources are limited.
JE2 was grown in CDM or CDM-R with the indicated carbon source at 37°C for 18 hours. Significant growth in CDM-R was seen only when arabinose and sorbitol were used as carbon sources. Data represent means ± SEM of five independent experiments.
Northern Analysis of argJBCDFGH in JE2 ccpA::ermB
Our preliminary data suggested that CCR functioned to repress an enzymatic step in the conserved arginine biosynthetic pathway via glutamate  (Figure 3). To further address this possibility, northern blot analysis was performed to address transcriptional expression of argJBCDFGH in JE2 ccpA::ermB in comparison to wildtype JE2. In S. aureus, argDCJB is arranged in an operon structure, whereas argF is transcribed as a monocistronic unit and argGH are co-transcribed. JE2 and JE2 ccpA::ermB were grown in CDM and CDM-R, respectively, to mid-exponential phase and mRNA was isolated. Utilizing DNA probes specific for each gene within the conserved pathway, argDCJB and argF expression was not detected in either JE2 or JE2 ccpA::ermB (Figure 4). However, although argG and argH transcripts were not detected in JE2, both transcripts were detected in JE2 ccpA::ermB (Figure 4). Therefore, although JE2 ccpA::ermB has the ability to grow on media lacking arginine, this strain does not appear to utilize the conserved arginine biosynthetic operon to synthesize arginine in CDM-R. These results suggested the existence of a novel arginine biosynthetic pathway in S. aureus.
Figure depicts highly conserved arginine biosynthetic pathway via glutamate and the proposed pathway from proline via PutA, RocD, ArcB1, ArgG and ArgH. Note the previously established reverse pathway from arginine to proline via RocF, RocD and ProC.
JE2 and JE2 ccpA::ermB total RNA was isolated in mid-exponential phase of growth in CDM and CDM-R, respectively. DNA probes specific for argJ, argB, argC, argD, argF, argG, and argH were labeled with digoxygenin and detected using anti-digoxigenin-AP Fab fragments (Panel A). Panel B shows 16 s and 23 s rRNA depicting equal RNA loading.
S. aureus Utilizes a Novel Proline Catabolic Pathway to Synthesize Arginine
Since our data indicated that glutamate was not the precursor for arginine synthesis in JE2 ccpA::ermB, other potential pathways were examined in silico. Based on the northern blot data demonstrating the expression of argGH in JE2 ccpA::ermB, we hypothesized that arginine may be synthesized via the urea cycle (Figure 3). In silico analysis predicted that either glutamate or proline have the potential to feed into the urea cycle to serve as substrates for arginine biosynthesis. To address this hypothesis, we examined amino acid consumption by JE2 and JE2 ccpA::ermB grown in CDM and CDM-R, respectively (Figure S1). These results demonstrated that both JE2 and JE2 ccpA::ermB consumed similar amounts of glutamate from the culture media following 24 h of growth. In contrast, JE2 ccpA::ermB consumed all available free proline from the culture medium, whereas only approximately 50% of the available free proline was consumed by JE2. Taken together, these observations allowed us to speculate that JE2 ccpA::ermB utilized proline via the urea cycle for arginine synthesis.
To further investigate this hypothesis, φ11 transducing lysates were prepared from defined JE2 bursa aurealis mutants with insertions in the following genes: putA, proC, rocD, arcB1, arcB2, argF, argG, argH, argC, argB and argJ. These bursa aurealis mutations (conferring erythromycin resistance) were transduced into JE2 ccpA::tetL and subsequently grown in CDM-R (Figure 5). Mutations in argG, argH, putA, rocD, and arcB1 abrogated growth of JE2 ccpA::tetL in CDM-R. However, mutations in argJ, argB, argC, argF, arcB2, or proC had no effect on growth consistent with the prediction that arginine is synthesized from proline and not glutamate (Figure 5).
Defined bursa aurealis transposon mutants in argJ, argB, argC, argF, argG, argH, proC, putA, rocD, arcB1, and arcB2 were transduced into JE2 ccpA::tetL and assessed for growth in CDM-R for 18 hours. Data represent means ± SEM of three independent experiments.
Two-dimensional (2D) 1H-13C heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR) experiments were performed to confirm these data. JE2 and JE2 ccpA::ermB were grown in the presence of 13C5-glutamate or 13C5-proline in CDM and CDM-R, respectively. Based on our genetic studies, it was predicted that 13C-labeled arginine would only be detected when JE2 ccpA::ermB was grown in CDM-R containing 13C5-proline. As expected, 13C-labeled arginine was detected when JE2 ccpA::ermB was propagated in the presence of 13C5-proline but not with 13C5-glutamate (Figure 6). Collectively, these results provide strong evidence that proline is the substrate for arginine biosynthesis in a ccpA genetic background. Furthermore, it is demonstrated that the highly conserved arginine biosynthetic pathway via glutamate is inactive under the growth conditions utilized in the study.
JE2 and JE2 ccpA::ermB were grown in the presence of 13C5-glutamate or 13C5-proline in CDM and CDM-R, respectively, and assayed using 2D 13C HSQC NMR. The differences in 13C-arginine relative intensity were determined by subtracting the average intensities between JE2 and JE2 ccpA::ermB, and a student's t-test was utilized to determine significance. A positive relative intensity value is indicative of a greater intensity of 13C-arginine in JE2 ccpA::ermB in comparison to JE2. JE2 ccpA::ermB accumulated significantly greater amounts of 13C-arginine when grown in CDM containing 13C5-proline in comparison to JE2. Note that there was no significant difference in 13C-arginine accumulation between JE2 and JE2 ccpA::ermB when grown in CDM and CDM-R, respectively, containing 13C5-glutamate.
Arginine Auxotrophy in Other Staphylococcus aureus Strains
To determine whether our data regarding arginine biosynthesis were specific to the JE2 background, φ11 transducing lysates were prepared from JE2 bursa aurealis argF and argH mutants and introduced into RN4220 and Newman ccpA backgrounds. As previously noted with JE2 ccpA::tetL, an argH mutation abolished the ability of both RN4220 ccpA::tetL and Newman ccpA::tetL to grow in CDM-R, whereas a mutation in argF had no effect (Figure 7). Interestingly, RN4220 has the ability to grow in CDM-R broth. Subsequent studies demonstrated that RN4220 reverted to arginine prototrophy at a frequency of 1.6×10−5; however, sequence analysis of these mutants indicated they did not have mutations in ccpA, hprK or ptsH suggesting weak carbon catabolite repression in the RN4220 strain background. In addition, RN4220 argH::φΝΣ was unable to grow in CDM-R broth whereas a bursa aurealis mutation in argF had no effect on growth suggesting RN4420 synthesizes arginine from proline but not from glutamate. Collectively, these data suggest that as a species, S. aureus has evolved to synthesize arginine via proline when growing in conditions lacking a preferred carbon source.
Defined bursa aurealis transposon mutants in argF and argH were transduced into Newman ccpA::tetL and RN4220 ccpA::tetL and assessed for growth in CDM-R for 18 hours. Data represent means ± SEM of three independent experiments.
Virulence in a mouse kidney abscess model.
C57BL/6 mice were inoculated retro-orbitally with 106 CFU of JE2, JE2 argH::φΝΣ, JE2 argC::φΝΣ, JE2 putA::φΝΣ, or JE2 argF::φΝΣ. The mice were harvested at 20 days and the kidneys were homogenized and CFU/gram of tissue determined (Figure 8). No statistical difference was determined between JE2 and JE2 argF::φΝΣ, JE2 argC::φΝΣ, or JE2 putA::φΝΣ. However, a significant difference was noted between JE2 (mean log10 CFU of 5.31) and JE2 argH::φΝΣ (mean log10 CFU of 4.21) indicating a potential function of argH and arginine biosynthesis in abscess development and persistence.
C57BL/6 mice were infected with 106 CFU of JE2 (n = 16 mice), JE2 argF::φΝΣ (n = 14 mice), JE2 argH::φΝΣ (n = 15 mice), JE2 argC::φΝΣ (n = 13 mice), or JE2 putA::φΝΣ (n = 18 mice). Kidneys were homogenized after 20 days and bacterial burden determined through viable count (CFU/gram tissue). Horizontal line represents median log10 CFU/gram; significant differences in bacterial burden were noted between JE2 and JE2 argH::φΝΣ (**p<.01). Data were analyzed using two-way ANOVA.
The study of arginine biosynthesis has served as a paradigm for the regulon concept, originally coined by Maas and Clark, where the same transcriptional repressor regulates unlinked loci, ArgR . Based on these studies and over 60 years of research, there are three established biochemical pathways, all utilizing glutamate as a substrate, that synthesize arginine in bacteria . These three pathways primarily differ in the enzymes used to generate L-citrulline from N-acetyl-L-ornithine , . All sequenced staphylococcal species analyzed to date encode the highly conserved ArgJBCDFGH on three separate unlinked transcriptional units; two operons (argDCJB and argGH) and one monocistronic gene (argF). Within the S. aureus USA300 FPR_3757 genome (NC_007793), the genes predicted to encode the arginine biosynthetic pathway are as follows: argJ (bifunctional ornithine acetyltransferase/glutamate N-acetyltransferase), SAUSA300_0185, EC 220.127.116.11/18.104.22.168; argB (acetylglutamate kinase), SAUSA300_0184, EC 22.214.171.124; argC (N-acetyl-gamma-glutamyl-phosphate-reductase), SAUSA300_0186, EC 126.96.36.199; argD (acetylornithine transaminase), SAUSA300_0187, EC 188.8.131.52; argF (ornithine carbamoyl transferase), SAUSA300_1062, EC 184.108.40.206; argG (argininosuccinate synthase), SAUSA300_0864, EC 220.127.116.11; and argH (argininosuccinate lyase), SAUSA300_0863, EC 18.104.22.168. However, as previously reported and confirmed in this study, S. aureus is a functional arginine auxotroph when grown on complex laboratory media , . In addition, no nonsense mutations or insertions were detected within the argJBCDFGH genes of the USA300 FPR_3757 genome or any other sequenced staphylococcal genome, suggesting that arginine biosynthesis is not a decaying pathway in the staphylococci. As discussed by Somerville and Proctor, in some cases, amino acid auxotrophies in S. aureus may be linked to TCA cycle inactivity or feedback inhibition due to growth in amino acid and glucose replete media . Our results are in agreement with this hypothesis where inactivation of ccpA, which represses the TCA cycle  and other genes that function to metabolize secondary carbon sources, was linked to arginine biosynthesis in S. aureus. In the presence of a preferred carbon source, the CcpA/Hpr complex represses a multitude of genes linked to central metabolism, amino acid metabolism and virulence , , , . Therefore, based on previous studies, bioinformatic analyses of the S. aureus genome, and the work by Li and colleagues demonstrating that proline biosynthesis was linked to ccpA regulation, it was not unexpected to discover that arginine biosynthesis was linked to carbon catabolite repression , , , . However, it was remarkable to discover that S. aureus does not use the conserved argJBCDFGH pathway to synthesize arginine via glutamate. Rather, we provide both genetic and biochemical evidence in support of a novel biosynthetic pathway, whereby S. aureus utilizes proline as a substrate via the urea cycle. First, mutations within putA, rocD, arcB1, argG, and argH, but not argJ, argB, argC, or argF, abolished growth of a ccpA mutant on CDM-R, providing genetic evidence that proline serves as a precursor for arginine synthesis (Figure 5). It is important to note that inactivation of arcB1 abrogated growth of JE2 ccpA::tetL whereas a mutation in arcB2 did not. arcB1 (SAUSA300_2569) encodes the native ornithine carbamoyltransferase within the arginine deiminase operon whereas arcB2 (SAUSA300_0062; ornithine carbamoyltransferase) is within the ACME pathogenicity island encoded arginine deiminase operon . These data suggest that ArcB1 and ArcB2 are not functionally redundant or are not expressed under the same growth conditions. arcB2 transcript is not detected using northern analysis (data not shown) under in vitro growth conditions used in this study (CDM or CDM-R broth), however, it is unknown whether it is induced under other in vivo or in vitro growth conditions. Second, 2D 1H-13C HSQC NMR experiments provided compelling evidence that arginine is synthesized via proline and the urea cycle in a S. aureus ccpA mutant. Although there have been two reports demonstrating that proline is synthesized from arginine in S. aureus , , we are unaware of any reports demonstrating that arginine can be synthesized from proline. Li and colleagues demonstrated that CcpA binds to a cre site just upstream of rocD. Using the cre site from pckA as a consensus sequence , we identified potential cre sites upstream of putA, arcB1, and argGH (Figure S2). However, the function of these cre sites in regards to CcpA regulation has yet to be defined.
Previous studies have demonstrated that a S. aureus ccpA mutant also synthesizes proline from arginine via RocF (arginase), RocD (ornithine aminotransferase), and ProC (P5C reductase) , . Collectively, these data and our observations suggest that under carbon-limiting conditions (in vivo environment), S. aureus can synthesize proline from arginine and arginine from proline depending on which amino acid is limited. Based on our findings and the existing literature, we propose a hypothetical model whereby free arginine is limited in the host during infection causing competition between the host and bacteria for arginine. In humans, L-arginine is a non-essential amino acid under homeostatic conditions. However, arginine becomes a “conditionally essential”  amino acid during sepsis or trauma due to its use as a substrate for inducible nitric oxide synthase  and function in cell-mediated immunity , protein synthesis  and wound healing , . Indeed, recent studies have shown significant iNOS and arginase expression during S. aureus infection  (Figure 9), providing further support that a staphylococcal abscess may be an arginine-depleted environment based on the requirement of arginine for these host enzymes to function. In addition, low levels of L-arginine have been reported in plasma during sepsis , causing some investigators to suggest the use of L-arginine as a treatment modality . Furthermore, arginine can serve as a substrate for arginine deiminase and subsequent direct ATP generation in the staphylococci .
C57BL/6 flank abscesses caused by subcutaneous injection of 5×105 CFU of S. aureus JE2. Tissues were processed for immunofluorescence staining for either type I collagen (red), inducible nitric oxide synthase (iNOS, red), or arginase (green). In addition to type I collagen, tissues were processed with the DAPI nuclear stain (blue) to accentuate the abscess core. Representative confocal microscopy images are presented for type I collagen (10× magnification) and iNOS/arginase (20× magnification).
Although little information is available regarding the concentration of free proline in a staphylococcal abscess, proline is the predominant amino acid found in collagen. Collagen is the most abundant protein in animals and type I collagen is a major constituent of the fibrotic wall surrounding staphylococcal abscesses  (Figure 9). Furthermore, S. aureus encodes two proteases, SspB and ScpA, which possess the ability to degrade collagen , , . Therefore, our model predicts that S. aureus utilizes specific proteases to degrade collagen, resulting in the liberation of free proline or proline-containing peptides that are utilized to synthesize arginine via the urea cycle. Strengthening this argument, earlier work demonstrated that mutants lacking the high affinity proline permease PutP are less virulent in animal models of infection , . This proposed framework was initially tested using a mouse kidney abscess model previously utilized by Cheng and colleagues . In this model, staphylococcal abscesses within the kidney are contained within a pseudocapsule-like structure; we hypothesized an argH and putA mutant would be attenuated in abscess persistence in comparison to wild type JE2, JE2 argC::φΝΣ and JE2 argF::φΝΣ due to the inability to utilize proline from the pseudocapsule as a substrate for arginine synthesis. Supporting our model, in those kidneys containing staphylococcal abscesses, a significant 1 log10 difference was observed between JE2 and JE2 argH::φΝΣ demonstrating the importance of arginine biosynthesis via the urea cycle in an in vivo infection model. As predicted, based on our in vitro data, no significant difference was observed between JE2, JE2 argC::φΝΣ, and JE2 argF::φΝΣ in the mouse kidney abscess model. However, in contrast to our predicted results, no significant difference in bacterial persistence was detected between JE2 and JE2 putA:: φΝΣ; PutA converts proline into pyrolline-5-carboxylate (Figure 3). It is known that the addition of either citrulline or ornithine to CDM-R can complement JE2 ccpA::tetL putA::φΝΣ allowing growth. Therefore, it is possible that generation of citrulline or ornithine by arginine deiminase and ornithine carbamoyltransferase , respectively, circumvents and complements the proline requirement and facilitates the synthesis of arginine. In addition, since argGH is common to both the glutamate and proline pathways leading to the synthesis of arginine, an alternative interpretation of the data is that both pathways are active in vivo and have the ability to complement each other.
Finally, we have demonstrated that other S. aureus strains synthesize arginine from proline when CcpA activity is abolished, suggesting conservation of this pathway within the species. However, based on the conserved sequence analysis of the ArgJBCDFGH pathway within sequenced S. aureus isolates, we predict that this arginine biosynthetic pathway is active under growth conditions or niches that remain to be identified. Further work is required to dissect the evolving dogma regarding arginine metabolism and the relationship between the host and S. aureus in the “war for arginine” during infection.
Materials and Methods
The clinical S. aureus strains used in this study originated from the University of Nebraska Medical Center. The Institutional Review Board at the University of Nebraska Medical Center is charged with reviewing all research involving human subjects. The clinical S. aureus strains utilized in the study were de-identified and analyzed anonymously and were therefore exempt from human research committee approval.
Animal experimentation was performed under a University of Nebraska Medical Center approved Institutional Animal Care and Use Committee (IACUC) Protocol to TK. The University of Nebraska Medical Center is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care International (AALAC). In addition, all animals at the University of Nebraska Medical Center are maintained in accordance with the Animal Welfare Act and the DHHS “Guide for the Care and Use of Laboratory Animals.”
Bacterial Strains and Culture Conditions
For determination of arginine auxotrophy, eighty-two S. aureus isolates were obtained from a previous collection testing the prevalence of heterogeneous vancomycin intermediate susceptibility . Other bacterial strains used in the study are shown in Table S1. Defined bursa aurealis transposon mutants were acquired from the Nebraska transposon mutant library via the Network on Antimicrobial Resistance in Staphylococcus aureus (NARSA; http://www.narsa.net). Bacterial strains were grown in either Tryptic Soy Broth (TSB; Becton Dickinson, Franklin Lakes, NJ) or Complete Defined Medium (CDM) as previously described except containing 0.25% glucose . Cultures were grown aerobically (1∶10 volume to flask ratio) at 37°C, 250 rpm unless otherwise stated. To train JE2 to grow on media lacking arginine, cultures were grown in CDM-R broth for 6 days, at which point the bacteria were inoculated to CDM-R agar. To study the reversion frequency of JE2, Newman and RN4220, the bacteria were grown for 20 hours in 3 mL of CDM. Cells were pelleted, resuspended in 0.9% NaCl, and diluted onto CDM, CDM-R, or CDM-P. After 72 hours the colonies were counted and reversion frequency was determined by taking the number of prototrophic revertants divided by total number of colonies plated on CDM.
To determine the growth characteristics in CDM-R containing various alternative carbon sources, JE2 was grown in 3 mL of CDM overnight, pelleted and resuspended in 0.9% NaCl. 3 mL of CDM and CDM-R supplemented with either 0.25% of glucose, fructose, glycerol, sucrose, mannitol, maltose, salicin, gluconic acid, arabinose, sorbitol, or ribose (all purchased from Sigma-Aldrich, St. Louis, MO) were inoculated in a 14 mL polypropylene round-bottom tube (Becton Dickinson) to an OD600 of 0.05. Cultures were grown for 18 h at 37°C to stationary phase.
Screening of Random bursa aurealis Transposon Mutant Library
Random bursa aurealis transposon mutants were generated using plasmids pBursa and pFA545 and identified using inverse PCR as previously described . Mutants were grown and collected in a 96 well format and pelleted and resuspended in 50 uL of 0.9% NaCl. 2 uL were plated on CDM and CDM-R and incubated at 37°C for 72 hours. Approximately 2700 mutants were screened; colonies that grew on CDM-R plates were confirmed by growing in CDM-R broth.
Transduction, ccpA Mutant Construction and Complementation
bursa aurealis transposon mutations were moved to other strain backgrounds through transduction using phage 80α or φ11 as previously described . All primers (Table S2) used for construction and confirmation of the ccpA mutation were generated based on the sequence of S. aureus strain Mu50 (NC_002758.2). The ccpA mutant was constructed by replacing a 0.6 kb internal region of the ccpA gene with an erythromycin resistance cassette (ermB) using the gene splicing by overlap extension (gene SOEing) technique . ermB was amplified from pEC4  using primers SAV1736-ermB-f and SAV1736-ermB-r, which contain sequences homologous to the ccpA gene. Primers BamHI-SAV1737-f and ermB-SAV1736-r were used for amplification of a 1.3 kb region upstream of the ccpA gene. Primers ermB-SAV1736-f and SacI-acuC-f were used to amplify a 1.7 kb region downstream of the ccpA gene. The resulting 4.1-kb PCR product contained BamHI and SacI sites that were used for cloning into pTS1-d  to generate plasmid pMRS44. Plasmid pMRS44 was used to construct S. aureus SA564 ccpA::ermB using the temperature shift protocol as previously described . Allelic replacement of the internal region of the ccpA gene by the ermB cassette was verified by PCR using primers ermB-f, ermB-r, SAV1737-f and acuC-f. The ccpA::ermB mutation was subsequently moved to JE2 through phage 80α transduction and confirmed using primers noted above. For the ccpA complementation plasmid pNF266, ccpA was amplified from JE2 using primers 2250 and 2251 (Table S2), digested with SphI and BamHI, and cloned into pCN51 . Note that two ccpA mutants were constructed in this study, JE2 ccpA::ermB and JE2 ccpA::tetL. JE2 ccpA::tetL was generated by phage 80α transduction of the ccpA::tetL allele from MST14  so double mutants could be constructed using ermB as the second selectable marker.
NMR Data Collection
JE2 and JE2 ccpA::ermB were grown in 50 mL CDM to stationary phase. JE2 and JE2 ccpA::ermB were subsequently inoculated to an OD600 of 0.05 in CDM containing 100 µM of either 13C5-glutamate or 13C5-proline (Isotec) and grown to stationary phase. Cultures were normalized to an OD600 of 2.0 and pelleted by centrifugation (3000 rpm, 20 minutes, 4°C). Pellets were subsequently washed in 10 mL of cold sterile water and resuspended in 1 mL cold sterile water. The Pellet was lysed using a bead beater (MP Biomedicals) and centrifuged for 15 minutes at 13,000 rpm at 4°C. This lysis step was repeated two more times and the pellet frozen in an ethanol/dry ice bath. The samples were then lyophilized, suspended in 600 uL of 50 mM phosphate buffer (pH = 7.2, uncorrected) in 99.8% D2O (Isotec), and transferred to 5 mm NMR tubes for analysis. The NMR spectra were collected on a Bruker 500 MHz Avance spectrometer equipped with a triple-resonance, Z-axis gradient probe. A BACS-120 sample changer with Bruker Icon software was used to automate the NMR data collection. The 2D 1H-13C HSQC spectra were collected with a standard Bruker pulse sequence (HSQCETGP), solvent presaturation and a relaxation delay of 1.5s. Each 2D 1H-13C HSQC spectrum was collected with a spectrum width of 4734.85 Hz and 2048 data points in the direct (1H) dimension; and a spectrum width of 13834.26 Hz and 64 data points in the indirect (13C) dimension. A total of 16 dummy scans and 128 scans were used to obtain each 2D 1H-13C HSQC spectra.
The spectra were processed using the NMRPipe software package . The spectra were Fourier transformed, manually phased, and baseline corrected. The processed 2D 1H-13C HSQC spectra were then analyzed using NMRView  to assign chemical shifts and intensities to each peak. The chemical shift list were assigned to specific metabolites using the Human Metabalome Database , Madison Metabolomics Database , and Platform for Riken Metabolomics  with a tolerance level of 0.05 ppm and 0.40 ppm in the 1H and 13C chemical shifts respectively. The presence of metabolites and metabolomics pathways was verified using the Kyoto Encyclopedia of Genes and Genomes (KEGG)  and MetaCyc  databases. The quantification of metabolomic peak intensities were performed in a similar manner as previously described . The relative percent concentration difference was determined by subtracting averages from the two cultures. A student T-test was performed to verify the significance at a 95% confidence level, of the relative percent concentration differences.
RNA Isolation and Northern Blot Analysis
Cultures of S. aureus JE2 and JE2 ccpA::ermB were grown overnight in CDM, diluted to an OD600 of 0.05 into fresh CDM or CDM-R (1∶10 volume to flask ratio, 250 rpm), and grown at 37°C to an OD600 of 1.5 (mid-exponential growth). Cells were pelleted at 3000×g for 20 minutes at 4°C and resuspended in RLT buffer with 1% β-mercaptoethanol. Next, they were transferred to lysing matrix B tubes (MP Biomedicals) and processed in a FP120 FastPrep cell disrupter (MP Biomedicals) for 24 seconds at a setting of 6.0. The cells were pelleted at 13000 rpm at 4°C for 15 minutes; top-phase was combined with 500 uL of ethanol. The samples were then processed using an RNeasy mini kit, according to manufactures instructions (Qiagen, Inc.). Primers listed in Table S2 were used to make DNA probes that were subsequently labeled with digoxigenin-labeled dUTP (Roche). 5 ug of RNA was used for northern analysis that was performed using DIG buffers and washes (Roche). Anti-Digoxigenin-AP Fab fragments (Roche) was used with ECF substrate (GE Healthcare) for detection. Blots were visualized using the Typhoon FLA 7000 imaging system (GE Healthcare).
Amino Acid Analysis
JE2 and JE2 ccpA::ermB were grown overnight in 50 mL (500 mL flask) of CDM. Cultures were inoculated to a starting OD600 of 0.05 in CDM (100 mL in 1 L flask, 250 rpm, 37°C) and grown for 5 hours. 500 uL of media was collected and pelleted for 5 minutes at maximum speed. Supernatant was collected and filtered through 3,000 MWCO Amicon Ultra centrifugal filters (Millipore) according to manufactures instructions. Amino acid analysis was performed by the Protein Structure Core Facility, UNMC, using a Hitachi L-8800.
Mouse subcutaneous abscess model.
Subcutaneous abscesses were established in C57BL/6 mice following the injection of 5×105 cfu of S. aureus JE2. Tissues were collected at day 7 post-infection and processed for immunofluorescence staining for either type I collagen (Millipore, Billerica, MA), inducible nitric oxide synthase (Abcam, Cambridge, MA), or arginase (Santa Cruz, San Diego, CA.) For type I collagen, tissues were incubated with the nuclear stain DAPI to accentuate the abscess core. Mouse kidney abscess model. C57BL/6 mice were anesthetized using ketamine and xylazine and 100 µl containing 107 CFU of S. aureus JE2, JE2 argH::φΝΣ, or JE2 argF::φΝΣ were inoculated retro-orbitally. On day 20 following inoculation, the animals were sacrificed and the kidneys were excised, homogenized, and subsequently plated for bacteriological analysis (CFU/g of tissue) on Trypticase soy agar (TSA). Only those kidneys containing greater than 100 CFU/g of tissue were statistically analyzed. Pairwise comparisons were conducted and differences were adjusted for multiple comparisons using the Tukey-Kramer method to maintain an overall alpha = .05 across all comparisons.
Amino acid analysis of JE2 and JE2 ccpA::ermB following growth in CDM. JE2 and JE2 ccpA::ermB were grown in CDM for 18 hours and supernatant was collected and analyzed for amino acid content. Percent of proline and arginine remaining is shown suggesting more efficient utilization of proline by JE2 ccpA::ermB in comparison to JE2.
Putative cre sites in arginine biosynthesis-dependent genes. Using the cre site from pckA as a consensus sequence, putative cre sites were identified in rocD, arcB1, putA, and argGH. cre site from pckA is the top sequence whereas the putative cre site from the identified gene is the bottom sequence.
Bacterial Strains and Plasmids used in study.
We thank Jennifer Endres, Todd Widhelm, and Vijaya Yajjala for their work on the Nebraska Transposon Library and Amy Aldrich for performing immunofluorescence staining. We also think Lynette Smith and Fang Yu for help with the statistical analysis.
Conceived and designed the experiments: ASN RP PDF. Performed the experiments: ASN SMH. Analyzed the data: ASN SMH RP PDF. Contributed reagents/materials/analysis tools: MRS MLH KWB TK. Wrote the paper: ASN SMH RP PDF.
- 1. Deleo FR, Otto M, Kreiswirth BN (2010) Chambers HF (2010) Community-associated meticillin-resistant Staphylococcus aureus. Lancet 375: 1557–1568.
- 2. Seidl K, Stucki M, Ruegg M, Goerke C, Wolz C, et al. (2006) Staphylococcus aureus CcpA affects virulence determinant production and antibiotic resistance. Antimicrob Agents Chemother 50: 1183–1194.
- 3. Majerczyk CD, Sadykov MR, Luong TT, Lee C, Somerville GA, et al. (2008) Staphylococcus aureus CodY negatively regulates virulence gene expression. J Bacteriol 190: 2257–2265.
- 4. Pohl K, Francois P, Stenz L, Schlink F, Geiger T, et al. (2009) CodY in Staphylococcus aureus: a regulatory link between metabolism and virulence gene expression. J Bacteriol 191: 2953–2963.
- 5. Somerville GA, Proctor RA (2009) At the crossroads of bacterial metabolism and virulence factor synthesis in Staphylococci. Microbiol Mol Biol Rev 73: 233–248.
- 6. Zhu Y, Nandakumar R, Sadykov MR, Madayiputhiya N, Luong TT, et al. (2011) RpiR Homologues May Link Staphylococcus aureus RNAIII Synthesis and Pentose Phosphate Pathway Regulation. J Bacteriol 193: 6187–6196.
- 7. Zhu Y, Weiss EC, Otto M, Fey PD, Smeltzer MS, et al. (2009) Tricarboxylic acid cycle-dependent attenuation of Staphylococcus aureus in vivo virulence by selective inhibition of amino acid transport. Infect Immun 77: 4256–4264.
- 8. Emmett M, Kloos WE (1975) Amino acid requirements of staphylococci isolated from human skin. Can J Microbiol 21: 729–733.
- 9. Gladstone GP (1937) The nutrition of Staphylococcus aureus; nitrogen requirements. Br J Exp Pathol 18: 322–333.
- 10. Kuroda M, Ohta T, Uchiyama I, Baba T, Yuzawa , et al. (2001) Whole genome sequencing of meticillin-resistant Staphylococcus aureus. Lancet 357: 1225–1240.
- 11. Cunin R, Glansdorff N, Pierard A, Stalon V (1986) Biosynthesis and metabolism of arginine in bacteria. Microbiological reviews 50: 314–352.
- 12. Vogel RH, Vogel HJ (1963) Acetylated intermediates of arginine synthesis in Bacillus subtilis. Biochim Biophysica ACTA 69: 174–176.
- 13. Prozesky OW (1967) Arginine synthesis in Proteus mirabilis. J Gen Microbiol 49: 325–334.
- 14. Rodriguez-Garcia A, de la Fuente A, Perez-Redondo R, Martin JF, Liras P (2000) Characterization and expression of the arginine biosynthesis gene cluster of Streptomyces clavuligerus. J Mol Microbiol Biotechnol 2: 543–550.
- 15. Leisinger T (1987) Proline Biosynthesis. In: Neidhardt F, Ingraham JL, Low K, Magasanik B, Schaechter M, & Umbarger H, editors. Escherichia coli and Salmonella typhimurium: Cellular and Molecular Biology. Washington DC: ASM Press. pp. 345–357.
- 16. Abdelal AT (1979) Arginine catabolism by microorganisms. Annu Rev Microbiol 33: 139–168.
- 17. Townsend DE, Kaenjak A, Jayaswal RK, Wilkinson BJ (1996) Proline is biosynthesized from arginine in Staphylococcus aureus. Microbiology 142: 1491–1497.
- 18. Li C, Sun F, Cho H, Yelavarthi V, Sohn C, et al. (2010) CcpA mediates proline auxotrophy and is required for Staphylococcus aureus pathogenesis. J Bacteriol 192: 3883–3892.
- 19. Stulke J, Hillen W (1999) Carbon catabolite repression in bacteria. Curr Opin Microbiol 2: 195–201.
- 20. Deutscher J, Kuster E, Bergstedt U, Charrier V, Hillen W (1995) Protein kinase-dependent HPr/CcpA interaction links glycolytic activity to carbon catabolite repression in gram-positive bacteria. Mol Microbiol 15: 1049–1053.
- 21. Henkin TM (1996) The role of CcpA transcriptional regulator in carbon metabolism in Bacillus subtilis. FEMS Microbiol Lett 135: 9–15.
- 22. Hueck CJ, Hillen W (1995) Catabolite repression in Bacillus subtilis: a global regulatory mechanism for the gram-positive bacteria? Mol Microbiol 15: 395–401.
- 23. Schumacher MA, Allen GS, Diel M, Seidel G, Hillen W, et al. (2004) Structural basis for allosteric control of the transcription regulator CcpA by the phosphoprotein HPr-Ser46-P. Cell 118: 731–741.
- 24. Deutscher J, Saier MH Jr (1983) ATP-dependent protein kinase-catalyzed phosphorylation of a seryl residue in HPr, a phosphate carrier protein of the phosphotransferase system in Streptococcus pyogenes. Proc Natl Acad Sci U S A 80: 6790–6794.
- 25. Mijakovic I, Poncet S, Galinier A, Monedero V, Fieulaine S, et al. (2002) Pyrophosphate-producing protein dephosphorylation by HPr kinase/phosphorylase: a relic of early life? Proc Natl Acad Sci U S A 99: 13442–13447.
- 26. Sonenshein AL (2007) Control of key metabolic intersections in Bacillus subtilis. Nat Rev Microbiol 5: 917–927.
- 27. Lu CD (2006) Pathways and regulation of bacterial arginine metabolism and perspectives for obtaining arginine overproducing strains. Appl Microbiol Biotechnol 70: 261–272.
- 28. Maas WK (1964) Studies on the Mechanism of Repression of Arginine Biosynthesis in Escherichia coli. Ii. Dominance of Repressibility in Diploids. J Mol Biol 8: 365–370.
- 29. Xu Y, Labedan B, Glansdorff N (2007) Surprising arginine biosynthesis: a reappraisal of the enzymology and evolution of the pathway in microorganisms. Microbiol Mol Biol Rev 71: 36–47.
- 30. Somerville GA, Proctor RA (2009) The Biology of Staphylococci. In: Crossley KB, Jefferson KK, Archer GL, & Fowler VG, editors. Staphylococci in Human Disease. Oxford: Blackwell Publishing Ltd. pp. 3–18.
- 31. Sadykov MR, Hartmann T, Mattes TA, Hiatt M, Jann NJ, et al. (2011) CcpA coordinates central metabolism and biofilm formation in Staphylococcus epidermidis. Microbiology 157: 3458–3468.
- 32. Seidl K, Bischoff M, Berger-Bachi B (2008) CcpA mediates the catabolite repression of tst in Staphylococcus aureus. Infect Immun 76: 5093–5099.
- 33. Seidl K, Goerke C, Wolz C, Mack D, Berger-Bachi B, et al. (2008) Staphylococcus aureus CcpA affects biofilm formation. Infect Immun 76: 2044–2050.
- 34. Seidl K, Muller S, Francois P, Kriebitzsch C, Schrenzel J, et al. (2009) Effect of a glucose impulse on the CcpA regulon in Staphylococcus aureus. BMC Microbiol 9: 95.
- 35. Becker SA, Palsson BO (2005) Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation. BMC Microbiol 5: 8.
- 36. Diep BA, Stone GG, Basuino L, Graber CJ, Miller A, et al. (2008) The arginine catabolic mobile element and staphylococcal chromosomal cassette mec linkage: convergence of virulence and resistance in the USA300 clone of methicillin-resistant Staphylococcus aureus. J Infect Dis 197: 1523–1530.
- 37. Davis JS, Anstey NM (2011) Is plasma arginine concentration decreased in patients with sepsis? A systematic review and meta-analysis. Crit Care Med 39: 380–385.
- 38. Fang FC (1997) Perspectives series: host/pathogen interactions. Mechanisms of nitric oxide-related antimicrobial activity. J Clin Invest 99: 2818–2825.
- 39. Ochoa JB, Strange J, Kearney P, Gellin G, Endean E, et al. (2001) Effects of L-arginine on the proliferation of T lymphocyte subpopulations. JPEN J Parenter Enteral Nutr 25: 23–29.
- 40. Luiking YC, Poeze M, Ramsay G, Deutz NE (2005) The role of arginine in infection and sepsis. JPEN J Parenter Enteral Nutr 29: S70–74.
- 41. Shi HP, Most D, Efron DT, Witte MB, Barbul A (2003) Supplemental L-arginine enhances wound healing in diabetic rats. Wound Repair Regen 11: 198–203.
- 42. Witte MB (2003) Barbul A (2003) Arginine physiology and its implication for wound healing. Wound Repair Regen 11: 419–423.
- 43. Thurlow LR, Hanke ML, Fritz T, Angle A, Aldrich A, et al. (2011) Staphylococcus aureus biofilms prevent macrophage phagocytosis and attenuate inflammation in vivo. J Immunol 186: 6585–6596.
- 44. Kalil AC (2011) Is it time to replace L-arginine in severe sepsis? Crit Care Med 39: 417–418.
- 45. Shoulders MD, Raines RT (2009) Collagen structure and stability. Annu Rev Biochem 78: 929–958.
- 46. Kantyka T, Shaw LN, Potempa J (2011) Papain-like proteases of Staphylococcus aureus. Adv Exp Med Biol 712: 1–14.
- 47. Ohbayashi T, Irie A, Murakami Y, Nowak M, Potempa J, et al. (2011) Degradation of fibrinogen and collagen by staphopains, cysteine proteases released from Staphylococcus aureus. Microbiology 157: 786–792.
- 48. Rice K, Peralta R, Bast D, de Azavedo J, McGavin MJ (2001) Description of staphylococcus serine protease (ssp) operon in Staphylococcus aureus and nonpolar inactivation of sspA-encoded serine protease. Infect Immun 69: 159–169.
- 49. Bayer AS, Coulter SN, Stover CK, Schwan WR (1999) Impact of the high-affinity proline permease gene (putP) on the virulence of Staphylococcus aureus in experimental endocarditis. Infect Immun 67: 740–744.
- 50. Coulter SN, Schwan WR, Ng EY, Langhorne MH, Ritchie HD, et al. (1998) Staphylococcus aureus genetic loci impacting growth and survival in multiple infection environments. Mol Microbiol 30(2): 393–404.
- 51. Cheng AG, Cheng AG, Kim HK, Burts ML, Krausz T, Schneewind O, et al. (2009) Genetic requirements for Staphylococcus aureus abscess formation and persistence in host tissues. FASEB J 23: 3393–3404.
- 52. Pitz AM, Yu F, Hermsen ED, Rupp ME, Fey PD, et al. (2010) Vancomycin Susceptibility Trends and Prevalence of Heterogeneous Vancomycin-Intermediate Staphylococcus aureus (hVISA) in Clinical Methicillin-Resistant S. aureus (MRSA) Isolates. J Clin Microbiol 49: 269–274.
- 53. Hussain M, Hastings JG, White PJ (1991) A chemically defined medium for slime production by coagulase-negative staphylococci. J Med Microbiol 34: 143–147.
- 54. Bae T, Banger AK, Wallace A, Glass EM, Aslund F, et al. (2004) Staphylococcus aureus virulence genes identified by bursa aurealis mutagenesis and nematode killing. Proc Natl Acad Sci U S A 101: 12312–12317.
- 55. Climo MW, Sharma VK, Archer GL (1996) Identification and characterization of the origin of conjugative transfer (oriT) and a gene (nes) encoding a single-stranded endonuclease on the staphylococcal plasmid pGO1. J Bacteriol 178: 4975–4983.
- 56. Horton RM, Cai ZL, Ho SN, Pease LR (1990) Gene splicing by overlap extension: tailor-made genes using the polymerase chain reaction. Biotechniques 8: 528–535.
- 57. Bruckner R (1997) Gene replacement in Staphylococcus carnosus and Staphylococcus xylosus. FEMS Microbiol Lett 151: 1–8.
- 58. Sadykov MR, Olson ME, Halouska S, Zhu Y, Fey PD, et al. (2008) Tricarboxylic acid cycle-dependent regulation of Staphylococcus epidermidis polysaccharide intercellular adhesin synthesis. J Bacteriol 190: 7621–7632.
- 59. Foster TJ (1998) Molecular Genetic Analysis of Staphylococcal Virulence. In: Williams P, Ketley J, & Salmond GPC, editors. Methods in Microbiology, Bacterial Pathogenesis. San Diego: Academic Press. pp. 433–454.
- 60. Charpentier E, Anton AI, Barry P, Alfonso B, Fang Y, et al. (2004) Novel cassette-based shuttle vector system for gram-positive bacteria. Appl Environ Microbiol 70: 6076–6085.
- 61. Delaglio F, Grzesiek S, Vuister GW, Zhu G, Pfeifer J, et al. (1995) NMRPipe: a multidimensional spectral processing system based on UNIX pipes. J Biomol NMR 6: 277–293.
- 62. Johnson BA (2004) Using NMRView to visualize and analyze the NMR spectra of macromolecules. Methods in molecular biology 278: 313–352.
- 63. Wishart DS, Knox C, Guo AC, Eisner R, Young N, et al. (2009) HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res 37: D603–610.
- 64. Cui Q, Lewis IA, Hegeman AD, Anderson ME, Li J, et al. (2008) Metabolite identification via the Madison Metabolomics Consortium Database. Nat Biotechnol 26(2): 162–164.
- 65. Akiyama K, Chikayama E, Yuasa H, Shimada Y, Tohge T, et al. (2008) PRIMe: a Web site that assembles tools for metabolomics and transcriptomics. In Silico Biol 8: 339–345.
- 66. Okuda S, Yamada T, Hamajima M, Itoh M, Katayama T, et al. (2008) KEGG Atlas mapping for global analysis of metabolic pathways. Nucleic Acids Res 36: W423–426.
- 67. Caspi R, Altman T, Dale JM, Dreher K, Fulcher CA, et al. (2010) The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 38: D473–479.
- 68. Zhang B, Halouska S, Schiafo CE, Sadykov MR, Somerville GA, et al. (2011) NMR analysis of a stress response metabolic signaling network. J prot Res 10: 3743–3754.