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. 2016 Jul 26;6:30352. doi: 10.1038/srep30352

Quorum sensing systems differentially regulate the production of phenazine-1-carboxylic acid in the rhizobacterium Pseudomonas aeruginosa PA1201

Shuang Sun 1, Lian Zhou 1, Kaiming Jin 1, Haixia Jiang 1, Ya-Wen He 1,a
PMCID: PMC4960564  PMID: 27456813

Abstract

Pseudomonas aeruginosa strain PA1201 is a newly identified rhizobacterium that produces high levels of the secondary metabolite phenazine-1-carboxylic acid (PCA), the newly registered biopesticide Shenqinmycin. PCA production in liquid batch cultures utilizing a specialized PCA-promoting medium (PPM) typically occurs after the period of most rapid growth, and production is regulated in a quorum sensing (QS)-dependent manner. PA1201 contains two PCA biosynthetic gene clusters phz1 and phz2; both clusters contribute to PCA production, with phz2 making a greater contribution. PA1201 also contains a complete set of genes for four QS systems (LasI/LasR, RhlI/RhlR, PQS/MvfR, and IQS). By using several methods including gene deletion, the construction of promoter-lacZ fusion reporter strains, and RNA-Seq analysis, this study investigated the effects of the four QS systems on bacterial growth, QS signal production, the expression of phz1 and phz2, and PCA production. The possible mechanisms for the strain- and condition-dependent expression of phz1 and phz2 were discussed, and a schematic model was proposed. These findings provide a basis for further genetic engineering of the QS systems to improve PCA production.

The phenazines are nitrogen-containing, colored, aromatic, secondary metabolites produced by various fluorescent pseudomonads, streptomycetes, and members of a few other bacterial genera1,2. These compounds are best known for their antibiotic properties, and affect a broad spectrum of organisms including bacteria, fungi, plants, nematodes, parasites, and humans3,4. Phenazines are also involved in numerous aspects of bacterial physiology such as survival, iron acquisition, signaling, and biofilm formation, and they have been studied extensively as microbial fitness determinants5,6,7,8. The pseudomonads, particularly Pseudomonas aeruginosa, P. chlororaphis, and P. fluorescens, are well-studied examples of phenazine producers. They share a common operon (phzABCDEFG) which encodes the enzymes needed for the synthesis of PCA, a precursor to the other phenazines9. All P. aeruginosa strains contain the two nearly identical PCA biosynthetic gene clusters phzA1B1C1D1E1F1G1 (abbreviated as phz1) and phzA2B2C2D2E2F2G2 (abbreviated as phz2). Both clusters contribute to phenazine production7,10,11. In addition, some phenazine-producing bacteria also contain one or more accessory genes such as phzO, phzH, phzM, and phzS, that encode different terminal-modifying enzymes for conversion of PCA into additional phenazine derivatives such as 2-hydroxyphenazine (2OH-PCA), phenazine-1-carboxamide (PCN), and pyocyanin (PYO)12,13,14,15. Phenazine production is controlled by complex regulatory networks. Environmental parameters such as temperature, pH, salinity, oxygen or nutrient availability have been shown to affect phenazine biosynthesis7,16,17,18. Membrane sensor proteins and two-component sensors control the activity of downstream regulators such as quorum sensing systems, RNA-binding proteins and small RNAs; these cytoplasmic regulators then directly or indirectly control the expression of the phz clusters17,19,20,21,22,23.

P. aeruginosa strains contain four QS systems: two acyl-homoserine lactone (HSL)-based QS systems, the quinolone-based QS system, and the newly identified IQS-dependent QS system24,25. In the acyl-HSL-based QS systems, two acyl-HSL synthase enzymes LasI and RhlI are responsible for the synthesis of N-3-oxo-dodecanoyl homoserine lactone (abbreviated as 3-oxo-C12-HSL) and N-butanoyl-homoserine lactone (abbreviated as C4-HSL), respectively. 3-oxo-C12-HSL and C4-HSL can form a complex with the transcriptional regulators LasR and RhlR to regulate the expression of downstream target genes26,27,28. In the quinolone-dependent QS system, PqsABCDE and PqsH are involved in the synthesis of 2-heptyl-4-quinolone (abbreviated as HHQ) and 2-heptyl-3-hydroxy-4-quinolone (abbreviated as PQS)29. Both HHQ and PQS can bind to the transcriptional regulator MvfR and form a complex to regulate gene expression30. It was originally proposed that the newly identified QS signal IQS [2-(2-hydroxyphenyl)-thiazole-4- carbaldehyde]24 is synthesized via the gene cluster ambBCDE24. However, recent results with P. aeruginosa strongly suggest that IQS is a byproduct from the biosynthesis of the siderophore pyochelin31. The cluster ambBCDE is responsible for the production of L-2-amino-4-methoxy-trans-3-butenoic acid (AMB), a non-proteinogenic amino acid32. The IQS receptor remains elusive. The mechanism whereby these QS systems control expression of phz1 and phz2, and the mechanisms that confer differential, condition-dependent expression of phz1 and phz2, have not been thoroughly characterized. For example, although their genomes share high sequence similarity, the P. aeruginosa strains PAO1, PA14, and M18 exhibit strain-dependent differences with respect to QS-dependent regulation of phenazine production. In the clinical isolates PAO1 and PA14, Las- and Rhl-defective mutant strains lose the ability to produce PYO33, while in the rhizosphere strain M18, the Las and Rhl systems are apparently negative regulators of phenazine production34. The mechanisms underlying these activities still need further elucidation at a molecular level. Also, the pattern of QS-dependent phz gene expression may depend on culture conditions. Under aerobically grown, well-mixed planktonic culture conditions, PQS is required for phz1 expression and phz1 is a major contributor to phenazine biosynthesis in P. aeruginosa PA14. However, when PA14 is grown as a colony biofilm on agar plates, phz2 alone is sufficient for wild-type phenazine production7. Finally, how the newly identified IQS signal affects PYO biosynthesis is still not known.

Due to rising concerns in the 1980s about the use of chemical pesticides, researchers became very interested in the antifungal properties of phenazines produced by soil pseudomonads and their potential use in the control of phytopathogenic fungi. Pseudomonas aeruginosa M18 is an effective biocontrol agent which was isolated from the rhizosphere of sweet melon35. The predominant phenazine produced by M18 is phenazine-1-carboxylic acid (PCA) (Fig. 1a). After several rounds of genetic modifications, the PCA yield of the genetically modified strain M18UMS/Phz reached approximately 4.7 g/L36,37. PCA was commercially named shenqinmycin, and a 1% shenqinmycin suspension was registered in China as an environmentally friendly fungicide (Product no. PD20110315) in 2011. This product is being marketed in China to control rice and vegetable diseases caused by Rhizoctonia solani and Fusarium oxysporum38.

Figure 1. PCA biosynthetic and quorum sensing gene clusters in PA1201.

Figure 1

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(a) The chemical structure of phenazine-1-carboxylic acid, (b) Organization of the PCA biosynthetic gene clusters, and (c) Gene clusters for four quorum-sensing systems in P. aeruginosa strain PA1201.

P. aeruginosa strain PA1201 was originally isolated from the rice rhizosphere, and displayed strong inhibitory activity towards the pathogens R. solani and Xanthomonas oryzae pv. oryzae39. The PCA yield of strain PA1201 was originally higher than that of M18 and PA1201 was shown to have more biotechnological potential for industrial production of PCA39,40. In this study, we clone and analyze the genes for the four known QS systems, for PCA biosynthesis, and for PCA modification in PA1201. The relative contribution of the two phz clusters to PCA production is analyzed. The effects of the four QS systems on bacterial growth, QS signal production, the expression of the two phz clusters, and PCA biosynthesis is investigated in a specialized PCA promoting medium (PPM). These findings provide a basis for further genetic engineering of the QS systems to improve PCA production in PA1201.

Results

Genomic analysis of the genes for the four QS systems and PCA biosynthesis in PA1201

Based on the genome sequence of P. aeruginosa strain PA14, several primer pairs were designed to clone the genes for the four QS systems and PCA biosynthesis using PCR amplification in strain PA1201. Subsequent sequence analysis confirmed that strain PA1201 has two PCA biosynthetic gene clusters, phz1 and phz2 (Fig. 1b). Strain PA1201 also contained three functional accessory genes, phzM, phzS, and phzH, which encode the enzymes that convert PCA into PYO and PCN, and the genes for the three classic QS systems, i.e., the 3-oxo-C12-HSL-dependent LasI/LasR system, the C4-HSL-dependent RhlI/RhlR system, and the PQS-dependent PqsABCDE/MvfR system (Fig. 1c). In addition, the amb gene cluster for AMB biosynthesis and the pch gene cluster for pyochelin biosynthesis were also identified in PA1201 (Fig. 1c). The genomic organization of these genes in strain PA1201 was essentially identical to that of P. aeruginosa strains PAO1, PA14, and M18. The products of these strain PA1201 genes showed >99% amino acid identity with their counterparts in the other P. aeruginosa strains. DNA sequences of all above genes are available in NCBI Database (KX173291-173307).

The effects of four QS systems on PCA production in strain MSH

The presence of phzM, phzS, and phzH, enables strain PA1201 to produce two additional phenazines, PCN and PYO39. To accurately assess the potential of PCA production in strain PA1201, phzM, phzS, and phzH were all deleted and the resulting strain MSH produced only PCA during fermentation (Supplementary Fig. S1). The genes lasR, rhlR, mvfR, and gene clusters amb and pch were each individually, in-frame deleted from strain MSH using the strategy shown in Supplementary Fig. S2a. The resulting single deletion mutant strains ΔlasR, ΔrhlR, ΔmvfR, Δamb, and Δpch were analyzed for growth and PCA production. Individual deletion of each of these genes or gene clusters had little effect on bacterial growth in PPM medium (Fig. 2a). We observed that deletion of rhlR or mvfR abolished PCA production during growth in PPM medium, but deletion of either the amb or pch gene clusters had little effect on PCA production (Fig. 2b). In contrast, the regulator LasR displayed differential regulation of PCA production. PCA levels of ΔlasR were significantly lower than those of MSH during the logarithmic growth phase (12–24 h), but significantly higher during stationary phase (36–48 h) (Fig. 2b).

Figure 2. PCA production of PA1201-derived strains in fed-batch cultures.

Figure 2

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(a) Growth of PA1201-derived strains in PPM medium. (b) PCA production during growth in PPM medium. (c) Growth of PA1201-derived strains in LB medium. (d) PCA production during growth in LB medium. Values shown are the means ± one SD from three independent experiments.

The growth and PCA production of the above strains were also determined in LB medium. Although strains ΔrhlR, ΔmvfR, and Δamb again displayed growth patterns similar to those of strain MSH (Fig. 2c), strain ΔlasR grew more slowly during late log phase and declined more rapidly during stationary phase than strain MSH (Fig. 2c). The PCA production patterns of strains ΔlasR, ΔrhlR, ΔmvfR, Δamb, and Δpch in LB medium were similar to what was observed in PPM medium (Fig. 2d); therefore, PPM medium was used to evaluate PCA production in subsequent experiments.

The relative contributions of the two phz clusters to PCA production

PA1201 contains two PCA biosynthetic gene clusters: phz1 and phz2 (Fig. 1b). To investigate the relative contributions of phz1 and phz2 to PCA biosynthesis in PA1201, we deleted each phz cluster individually in the strain MSH. The resulting strains, Δphz1 and Δphz2 showed growth patterns which were nearly identical to that of the parent strain MSH (Fig. 3a,c). Quantification of PCA levels in culture supernatants revealed that both strains Δphz1 and Δphz2 produced significantly less PCA than the parent strain MSH. The PCA levels from phz1 (Δphz2) were only ten to twenty percent of those observed with MSH (Fig. 3b). In contrast, the PCA levels from phz2 (Δphz1) were approximately seventy percent of those observed with MSH (Fig. 3d). These results suggest that both phz clusters contribute to PCA production, with phz2 making a greater contribution.

Figure 3. Time course of PCA production in PA1201-derived strains.

Figure 3

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(a) Growth of PA1201-derived strains in PPM medium. (b) PCA production of strains MSH, Δphz2, Δphz2ΔlasR, Δphz2ΔrhlR, and Δphz2ΔmvfR. (c) Growth of PA1201-derived strains in PPM medium. (d) PCA production of strains MSH, Δphz1, Δphz1ΔlasR, Δphz1ΔrhlR, and Δphz1ΔmvfR. Values shown are the means ± one SD from three independent experiments.

Effects of three QS systems on phz1- or phz2-dependent PCA production

Since both phz1 and phz2 contributed significantly to PCA production in strain PA1201 (Fig. 3), we reasoned that the three QS systems might have effects on both gene clusters. To determine the effects of the three QS systems on phz1-dependent PCA production, we generated the double mutation strains Δphz2ΔlasR, Δphz2ΔrhlR, and Δphz2ΔmvfR. These strains were nearly identical in growth to strain Δphz2 (Fig. 3a). Deletion of rhlR or mvfR abolished phz1-dependent PCA production (Fig. 3b). Deletion of lasR had no significant effect on phz1-dependent PCA production at 12 h; however, it significantly increased phz1-dependent PCA production at 24–48 h after inoculation (Fig. 3b).

To study the effects of the three QS systems on phz2-dependent PCA production, the genes lasR, rhlR, and mvfR were individually deleted from strain Δphz1, and these double mutation strains were nearly identical in growth to strain Δphz1 (Fig. 3c). When we compared these strains Δphz1ΔlasR, Δphz1ΔrhlR, and Δphz1ΔmvfR to strain Δphz1 for PCA production, we again found that deletion of rhlR and mvfR abolished phz2-dependent PCA production. Deletion of lasR resulted in a reduction in phz2-dependent PCA production during 12–24 h and a significant increase at 36 to 48 h after inoculation (Fig. 3d).

Production of 3-oxo-C12-HSL, C4-HSL and PQS in the QS mutants

To further define the mechanisms underlying the QS signaling systems on PCA biosynthesis, we assayed the production of the three signal molecules 3-oxo-C12-HSL, C4-HSL and PQS in the QS mutant strains of this study. The production of 3-oxo-C12-HSL was assayed using the reporter strain CF1141 and strain ΔlasI as a negative control. Strain CV02642 was used to assay C4-HSL production with ΔrhlI as a negative control. C4-HSL, 3-oxo-C12-HSL and PQS were also extracted from the cultures at 12 h and 36 h after inoculation, and their levels were quantified via LC-MS analysis as described by Lépine and Déziel43 (Supplementary Figs S3–S5). Deletion of the mvfR, amb or pch clusters, had no significant effect on C4-HSL or 3-oxo-C12-HSL production (Fig. 4a–d). However, the 3-oxo-C12-HSL levels in the ΔlasR culture at 12 h and 36 h after inoculation were reduced to approximately 10% and 50% of those in the MSH strain, respectively. Similarly, the C4-HSL levels in the ΔlasR culture at 12 h and 36 h after inoculation were approximately 30% and 50% of the MSH strain, respectively. Deletion of rhlR had little overall effect on production of 3-oxo-C12-HSL or C4-HSL at 12 h, however, it significantly decreased the C4-HSL levels at 36 h after inoculation (Fig. 4d).

Figure 4. QS signal production of PA1201-derived strains.

Figure 4

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(a) Bioassay of 3-oxo-C12-HSL production using the reporter strain CF11. Blue spots indicate that the diffusible signal was detected by the reporter cells. (b) LC-MS analysis of 3-oxo-C12-HSL levels of PA1201-derived strains at 12 and 36 h after inoculation in PPM medium. (c) Bioassay of C4-HSL production using the reporter strain CV026. Purple spots indicate that the diffusible factor was detected by the reporter cells. (d) LC-MS analysis of C4-HSL levels of PA1201-derived strains at 12 and 36 h after inoculation in PPM medium. (e) LC-MS analysis of PQS in PA1201-derived strains at 12 h and 36 h after inoculation in PPM medium. Values shown are the means ± one SD for three independent experiments. Different letters indicate significant differences between treatments at P = 0.05 according to LSD.

Deletion of mvfR abolished PQS production suggesting that MvfR is essential for PQS biosynthesis during growth (Fig. 4e), whereas LasR displayed a growth phase-dependent regulation of PQS production. After 12 h the ΔlasR levels were significantly lower than those of MSH; however, after 36 h ΔlasR PQS levels were 2.5-fold higher than those of MSH (Fig. 4e). Deletion of rhlR had no effect on PQS production 12 h after inoculation, but it did significantly increase PQS production 36 h after inoculation. Deletion of the amb or pch gene clusters had no significant effect on PQS production during growth (Fig. 4e).

Transcriptional activities of phz1 and phz2 in the MSH strain

PA1201 contains two PCA biosynthetic gene clusters: phz1 and phz2 (Fig. 1b). To investigate the relative contributions of phz1 and phz2 to PCA biosynthesis in PA1201, we monitored the relative transcriptional activities of phz1 and phz2 in the MSH strain. First, total RNAs were extracted from the cell cultures at 12 h and 24 h after inoculation into PPM medium. The transcriptomes were then assayed via RNA-Seq technology. The average expression levels of phz2 at both 12 h and 24 h were much higher than that of phz1 (Table 1). During the growth cycle, the average expression of phz1 decreased from 20 RPKM at 12 h to 7 RPKM at 24 h after inoculation. In contrast, the average expression level of phz2 increased from 326 RPKM at 12 h to 848 RPKM at 24 h after inoculation (Table 1). We then generated two reporter constructs (Pphz1-lacZ and Pphz2-lacZ) to study the transcriptional activity of phz1 and phz2 (as described in Supplementary Fig. S2b). The MSH strains carrying the promoter-lacZ fusion constructs displayed similar growth patterns in PPM medium (Fig. 5a,c). The transcriptional activities of phz1 were significantly lower than those of phz2 during growth. The maximum level of phz1 activity was observed at 12 h after inoculation [428 Miller units (M.u.)] (Fig. 5b), whereas the maximum level of phz2 activity was observed at 48 h after inoculation (807 M.u.) (Fig. 5d). The level of phz1 activity declined from 428 M.u. at 12 h to 251 M.u. at 48 h (Fig. 5b), whereas the levels of phz2 activity increased from 516 M.u. at 12 h to 807 M.u. at 48 h (Fig. 5d).

Table 1. The relative expression of phz clusters as revealed by RNA-Seq analysis.

Genes Expression level (RPKM)
24 h 24 h
phzA1 45 16
phzB1 14 6
phzC1 24 4
phzD1 15 12
phzE1 9 4
phzF1 5 1
phzG1 26 8
Mean 20 7
phzA2 168 639
phzB2 1207 3351
phzC2 168 409
phzD2 192 334
phzE2 ND ND
phzF2 59 105
phzG2 163 249
Mean 326 848
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RPKM (Reads Per kb per Million reads) was used to calculate the gene expression level. ND: no data.

Figure 5. The effects of four QS systems on the expression of phz gene clusters in the presence of phz1 and phz2.

Figure 5

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(a) Growth of strains with deletions of individual QS systems and carrying the phz1 reporter construct. (b) The expression of phz1 in the absence of individual QS systems as indicated by β-galactosidase activities. M. u. indicates Miller unit. (c) Growth of strains with deletions of individual QS systems and carrying the phz2 reporter construct. (d) The expression of phz2 in the absence of individual QS systems as indicated by β-galactosidase activities. The values shown are the means ± one SD from three independent experiments.

Effects of four QS systems on the transcriptional activities of phz1 and phz2 in the MSH strain

To study the effects of the four QS systems on the expression of the two phz clusters, the promoter-lacZ fusion constructs (Pphz1-lacZ and Pphz2-lacZ) were individually integrated into the chromosomes of the strains MSH, ΔlasR, ΔrhlR, ΔmvfR, Δamb, and Δpch. The resulting strains were grown in PPM medium, and the β-galactosidase activities of the cultures during growth were compared. All of the strains containing the promoter-lacZ fusion constructs displayed similar growth patterns in PPM medium (Fig. 5a,c). No significant differences in β-galactosidase activities were observed in strains MSH::Pphz1-lacZ, Δamb::Pphz1-lacZ, and Δpch::Pphz1-lacZ or MSH::Pphz2-lacZ, Δamb::Pphz2-lacZ, and Δpch::Pphz2-lacZ, suggesting that the IQS system had little effect on the expression of phz1 and phz2 during growth (Fig. 5b,d). Deletion of the rhlR or mvfR genes abolished the phz1 and phz2 promoter-dependent β-galactosidase activities, respectively (Fig. 5b,d), suggesting that RhlR and MvfR are required for the expression of phz1 and phz2. The regulatory effect of LasR on the expression of phz1 and phz2 was dependent on growth phase. LasR induced phz1 expression at 6 h and 12 h after inoculation and inhibited its expression at 24 h, 36 h and 48 h after inoculation (Fig. 5b). Similarly, LasR induced phz2 expression at 6 h to 24 h after inoculation, but the inhibitory effect was only observed at 48 h after inoculation (Fig. 5d). Thus, it seems that the inhibitory effect of LasR was greater with phz1 than with phz2 during growth.

Effects of QS systems on phz1- and phz2-dependent transcriptional activity

Previous results suggested a regulatory feedback loop involving the expressions of two phz gene clusters in the strain M18. PCA molecules produced from phz2 were able to activate the expression of phz110. To verify the direct effects of the three QS systems on the expression of phz1 in the absence of phz2, we generated the following strains: Δphz2::Pphz1-lacZ, Δphz2ΔlasR::Pphz1-lacZ, Δphz2ΔrhlR::Pphz1-lacZ, and Δphz2ΔmvfR::Pphz1-lacZ. These strains displayed similar growth patterns in PPM medium (Fig. 6a). The β-galactosidase activity of these strains was assayed and our results showed that deletion of rhlR and mvfR abolished phz1-dependent transcriptional activity. However, deletion of lasR significantly decreased phz1-dependent transcriptional activity at 12 h and significantly increased phz1-dependent transcriptional activities within 24–48 h after inoculation (Fig. 6b).

Figure 6. The effects of three QS systems on the expression of one phz gene cluster in the absence of the other.

Figure 6

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(a) Growth of strains carrying the phz1 reporter construct. (b) The relative level of phz1 expression as indicated by β-galactosidase activities in the background of Δphz2. M. u. indicates Miller unit. (c) Growth of strains carrying the phz2 reporter construct. (d) The relative level of phz2 expression as indicated by β-galactosidase activities in the background of Δphz1. The values shown are the means ± one SD from three independent experiments.

To verify the direct effects of the QS systems on the transcriptional activity of phz2, we generated the following reporter strains: Δphz1::Pphz2-lacZ, Δphz1ΔlasR::Pphz2-lacZ, Δphz1ΔrhlR::Pphz2-lacZ, and Δphz1ΔmvfR::Pphz2-lacZ. Deletion of rhlR and mvfR abolished phz2-dependent transcriptional activities. In contrast, deletion of lasR led to lower transcriptional activities of phz2 at 12–36 h and a significantly higher transcriptional activity at 48 h after inoculation (Fig. 6d).

Discussion

Pseudomonas aeruginosa strain PA1201 is a newly identified rhizobacterium that produces high levels of the biopesticide shenqinmycin39,40. To develop it as an industrial strain for shenqinmycin production, genetic and metabolic engineering of its biosynthetic pathway and regulatory networks is necessary. The QS-dependent regulatory network offers one of the most important engineering targets for improvement of PCA production. This study conducted a global survey and identified the genes for four QS systems and PCA biosynthesis in PA1201. Based on these results, we further compared the effects of four QS systems on bacterial growth, QS signal production, the expression of two phz clusters, and PCA biosynthesis in a specialized PPM medium. Our findings establish the LasR, RhlR and MvfR systems as key regulators of PCA biosynthesis in PA1201.

This study makes the following novel contributions to what we know about QS in P. aeruginosa. First, in most previous studies each QS system was individually investigated. In this study, four QS systems were systematically investigated in the same strain (Figs 5 and 6). Our findings revealed extensive cross-talk among the LasR, RhlR and MvfR systems in PA1201. The roles of RhlR and LasR in regulating PQS production have been investigated for the first time (Fig. 4e). Second, P. aeruginosa strains usually produce three phenazine derivatives: PCA, PYO and PCN. In most previous studies, the PCA derivative PYO was used as an indicator molecule to evaluate the effects of QS systems on phenazine production. In this study, the effects of QS systems on PCA production were accurately assessed in the strain MSH. Third, all P. aeruginosa strains contain two nearly identical phz clusters and both clusters contribute to PCA production. Li et al.10 identified a regulatory feedback loop of two phz gene clusters expression in M18, which involved a small amount of PCA produced from phz2 that could function as a signaling molecule to activate phz1 expression. In most previous QS studies, the feedback regulation of two phz clusters was not considered. In this study, the effect of each QS system was individually evaluated in the strain Δphz1 or Δphz2 (Fig. 6). Our results clearly demonstrated that both MvfR and RhlR systems are required for the induction of phz1 and phz2 (Figs 5 and 6). The LasR system had differential effects on the expression of phz1 and phz2 during growth (Figs 5 and 6). Thus, our findings present an extended understanding of the regulatory mechanisms of QS systems on the expression of phz gene clusters and PCA biosynthesis.

Previous findings showed that the QS circuits in P. aeruginosa are organized in a hierarchical manner, and that the las system is located at the top of the signaling hierarchy26. Consistent with this hierarchy, inactivation of LasR has been reported to severely attenuate QS, the production of quorum-regulated factors, and virulence44,45,46. In this study, LasR negatively regulates the production of 3-oxo-C12-HSL and C4-HSL, and displays a growth phase-dependent regulation of PQS production (Fig. 4). LasR also displayed differential regulation on the expression of phz1, phz2, and PCA production during growth. The PCA level in the ΔlasR culture was significantly lower than that in the MSH culture at early growth stages; however, it was significantly higher in later growth stages (Fig. 2b). This is consistent with recent findings that many clinical lasR isolates of P. aeruginosa can overproduce PYO18. The quorum response by lasR mutants in slow-growth or stationary-phase conditions is distinct from that in shake culture. lasR mutants overproduce PYO under stationary-phase culture conditions18. Although Wurtzel et al.47 previously confirmed the presence of a LasR/RhlR binding site in the promoter region of phz1 in strain PA14, no las/rhl box was identified in the promoter region of phz2. Therefore, the QS systems might directly regulate phz gene expression or affect PCA production indirectly through other factors. The mechanisms underlying the condition-dependent expression of phz1 and phz2 are currently under investigation but likely include LasR-dependent regulation.

The newly identified QS signal IQS was shown to positively regulate PYO production in PAO124. However, the present study showed that deletion of the two putative IQS biosynthetic gene clusters had no effect on the expression of phz1 and phz2, or on PCA production in PA1201 (Fig. 2b). There are at least two possibilities for this discrepancy. First, both the pch and amb gene clusters might not be involved in IQS biosynthesis, or there might be additional pathways for IQS production; second, IQS-dependent regulation of phenazine production could be strain-specific or could depend on the specific growth media used in this study.

A characteristic feature of P. aeruginosa is the presence of two phz clusters for PCA production. In this study, we found that both phz clusters contributed significantly to PCA production with phz2 making a greater contribution in PA1201 (Fig. 3). This is consistent with the previous findings in both PA14 and M18 strains7,10. However, the transcriptional patterns of phz1 and phz2 in PA1201 were distinct from previous findings. The transcriptional activities of phz1 decreased from 12 h to 48 h after inoculation, whereas those of phz2 increased over time. The transcriptional activities of phz1 were significantly lower than those of phz2 during the growth cycle (Figs 5 and 6, Table 1). In previous studies with strain M18, promoter-lacZ transcriptional and translational fusions were conducted to monitor phz1 and phz2 expression in plasmids pME6522 and pME6015, respectively. In these studies the transcriptional activity of phz1 was higher than that of phz2, whereas the translational activity of phz1 was lower than that observed with phz210. In strain PA14, Recinos et al. created phz fluorescent reporter constructs with the 500-bp promoter regions upstream of each phz cluster fused to gfp. These reporter constructs were then integrated into the chromosome. They found that the activities of both phz clusters increased over the growth cycle (0–20 hours), and phz2 was expressed at higher levels than phz17. Thus, the relative expression of phz1 and phz2 in P. aeruginosa appears to be strain-specific. We propose a schematic model for the regulation of phz1 and phz2 via the QS systems in PA1201 which is consistent with the results of this study (Fig. 7).

Figure 7. A schematic model for the effect of four QS systems on the expression of the phz1 and phz2 gene clusters.

Figure 7

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The 3-oxo-C12-HSL/LasR system is located at the top of the signaling hierarchy and acts as a global regulator to affect diverse biological activities. It positively regulates C4-HSL production and differentially regulates the expression of both phz clusters. At early growth stages, LasR positively regulates the expression of phz1 and phz2, promoting PCA production; at late growth stages, it negatively regulates the expression of phz1 and phz2, repressing PCA production. Both the C4-HSL/RhlR and PQS/MvfR systems positively regulate the expression of phz1 and phz2, promoting PCA production. The C4-HSL/RhlR system slightly represses PQS production in PA1201. The IQS/IqsR system has no effects on other QS systems and does not regulate the expression of phz1 or phz2 in PA1201. Arrows indicate positive regulation, and the blunt ends denote negative regulation. The positive regulation of LasR at an early growth stage is indicated by black arrow with “E” for “Early stage”. The negative regulation of LasR at later stage is indicated by purple blunt end with “L” for “Late stage”.

Methods

Bacterial strains, plasmids, and culture conditions

The bacterial strains used in this study are listed in Supplementary Table S1. P. aeruginosa strain PA120139 was grown in 50 ml of PPM (Pigment-Producing Medium, Tryptone 22 g/L, glucose 20 g/L, KNO3 5 g/L, pH7.5)48 or Luria-Bertani (LB) broth in 250 ml flasks in shake culture (200 rpm, 28 °C). E. coli strains were cultured in LB medium at 37 °C. When required, antibiotics were added to the medium at the following final concentrations: spectinomycin (50 μg ml−1), tetracycline (100 μg ml−1 for P. aeruginosa strains and 10 μg ml−1 for E.coli strains), and gentamycin (100 μg ml−1).

Generation of in-frame deletion mutants in PA1201

The methods for in-frame gene deletion followed the general procedure shown in Supplementary Fig. S2. Briefly, the downstream and upstream regions of the target gene to be deleted were combined by using overlap extension PCR. The fusion products were further cloned into the suicide vector pEX18Gm49 carrying the sucrose-sensitive sacB gene. The resulting chimeric plasmid was then integrated within the target sequence via homologous recombination, and plasmid sequences were then removed by a second single-crossover event, resulting in allelic exchange50. The plasmids and primers used in this study are listed in Supplementary Tables S1 and S2. The markerless mutants generated were verified by colony PCR and subsequent DNA sequencing.

Extraction and quantification of phenazine-1-carboxylic acid

For PCA extraction, 180 μl of fermentation culture was mixed with 20 μl of 6 M HCl and then extracted with 540 μl chloroform as previously described40. A 3 μl aliquot of condensed PCA extract was then taken for HPLC analysis (Agilent Technologies 1260 Infinity) under the following conditions: C18 reversed-phase column (5 μm, 4.6 × 150 mm) eluted with acetonitrile-5 mM ammonium acetate (60:40, v/v). PCA production was quantified using peak area (A) in the HPLC elute according to the following formula: PCA (mg/L) = 0.0146A-0.341. This was derived from a dose–peak area plot using purified PCA with a correlation coefficient (R2) of 0.999.

Detection and bioassay analysis of C4-HSL and 3-oxo-C12-HSL production

The production of C4-HSL and 3-oxo-C12-HSL in PA1201 and derived mutant strains was detected and analyzed using a diffusion plate as previously described41,42. The previously constructed strain A. tumefaciens CF11 was used to detect 3-oxo-C12-HSL production41. C. violaceum strain CV026 was used to detect short chain C4-HSL production42. Blue or purple spots indicated that the diffusible QS signals were detected by the reporter cells. The production of C4-HSL and 3-oxo-C12-HSL is proportional to the diffusion distance from the last purple or blue spot to the origin of PA1201 strains.

Extraction and quantification of C4-HSL, 3-oxo-C12-HSL, and PQS by LC-MS

For extraction of QS signaling molecules, 270 μl of culture fluid was collected and adjusted to pH = 4.0 by the addition of 6 M HCl. This was then extracted with an equal volume of ethyl acetate. Subsequently 100 μl of ethyl acetate extract was collected for evaporation at 40 °C, and the resulting residue was finally dissolved in 500 μl of methanol. A ten-microliter aliquot of this sample was then injected into an ultra-performance liquid chromatography column which was coupled with mass spectrometry (Agilent UPLC1290-TOF-MS6230) under the following conditions: Agilent Zorbax XDB C18 reverse-phase (5 μm, 4.6 × 150 mm) eluted with gradient ACN with 0.5% acetic acid and H2O with 0.5% acetic acid at 0.4 ml/min. The MS analysis was performed under positive mode with a scanning range of m/z = 100–1700. The specific pseudo molecular ion (M+H)+ or (M+Na)+ of 3-oxo-C12-HSL, C4-HSL, and PQS were extracted at 320.1832, 194.0788, and 260.1645, respectively. The retention times of 3-oxo-C12-HSL, C4-HSL, and PQS were 13.68 min, 7.67 min, and 12.60 min, respectively. The commercially available C4-HSL (Cayman Chemical, Michigan, USA), 3-oxo-C12-HSL and PQS (Sigma-Aldrich) were also assayed using LC-MS and the standard curves derived from a dose–peak area plot were established (Supplementary Figs S3–S5). The concentration of QS molecules was quantified with a peak area (A) of the specific extracted ion chromatogram (EIC) in the total ion chromatogram (TIC) according to the following formula: 3-oxo-C12-HSL (μM) = 6 × 10−7A. This was derived from a dose–peak area plot using standard 3-oxo-C12-HSL with a correlation coefficient (R2) of 0.979. The C4-HSL (μM) = 2 × 10−6A with a R2 of 0.995, and PQS (μM) = 3 × 10−6A + 0.4728 with a R2 of 0.966.

RNA Sequencing

RNA-Seq analysis was conducted at BGI (http://www.genomics.cn). In brief, total RNA was extracted from 1.5 ml of cell cultures at 12 h and 24 h after inoculation using the RNeasy Miniprep Kit. After DNA contamination was removed with RNase-Free DNase Set (Qiagen), the 1 μg sample of total RNA was treated with Ribo-ZeroTM Magnetic Gold Kit (Epicenter) to remove rRNA. Fragmentation buffer was then added to break mRNA into short fragments, and random hexamer-primers were subsequently used to synthesize first-strand cDNA. After removal of dNTPs, second-strand cDNA was then synthesized with buffer, dATPs, dGTPs, dCTPs, dUTPs, RNase H and DNA polymerase I. Short fragments were subsequently purified with the QiaQuick®PCR extraction kit and poly(A) and sequencing adapters were added. The UNG enzyme was then used to degrade the second-strand cDNA, and the product was purified by MiniElute PCR Purification Kit before PCR amplification. The qualified library was amplified on cBot to generate the cluster on the flowcell (TruSeq PE Cluster Kit V3–cBot–HS, Illumina). The amplified flowcell was paired-end sequenced on the HiSeq 2000 System. For the two samples at different points, a total of 214062560bp and 1174736520 bp, respectively, were sequenced. The reads were aligned to the genome sequences by the program SOAPaligner/soap2. The gene expression level was calculated by using RPKM method51 (Reads per kilobase transcriptome per million mapped reads), and the formula is as follows: RPKM = 106C/(NL/103). Given to be the expression of gene A, C to be the number of reads that are uniquely aligned to gene A, N to be the total number of reads that are uniquely aligned to all genes, and L to be the number of bases in the gene. The original data are available in NCBI Sequence Read Archive (Accession SRP074264).

Construction of the promoter-lacZ fusion reporter strains and expression analysis of phz1 and phz2

The reporter constructs used to monitor the expression of phz1 or phz2 were generated with a previously described method52. Briefly, the 500-bp promoter regions and 30-bp coding sequences of phzA1 or phzA2 were individually cloned into the vector mini-CTX-lacZ. The resulting constructs, mini-CTX-Pphz1-lacZ and mini-CTX-Pphz2-lacZ, were integrated into the chromosomes of PA1201-derived strains. The β-galactosidase activity was measured as previously described53.

Statistical analysis

Analysis of variance for experimental datasets was performed using the JMP software version 5.0 (SAS Institute Inc., Cary, NC). Significant effects of treatment were determined by the F value (P = 0.05). When a significant F test was obtained, separation of means was accomplished via Fisher’s protected LSD (least significant difference) at a significance level of P = 0.05.

Additional Information

How to cite this article: Sun, S. et al. Quorum-sensing systems differentially regulate the production of phenazine-1-carboxylic acid in the rhizobacterium Pseudomonas aeruginosa PA1201. Sci. Rep. 6, 30352; doi: 10.1038/srep30352 (2016).

Supplementary Material

Supplementary Information
srep30352-s1.pdf (704.8KB, pdf)

Acknowledgments

The authors thank Dr. Wei Zhang for technical assistance in LC-MS assay. This work was financially supported by National High Technology Research and Development Program (“863” Program) of China (No. 2012AA022107), National Key Technology R & D Program (No. 2012BAD19B01), and Innovation Program of Shanghai Municipal Education Commission (No. GM0800004).

Footnotes

Author Contributions Y.-W.H. and L.Z. conceived and designed the experiments. S.S., K.J., H.J. and L.Z. performed the experiments. Y.-W.H., S.S. and L.Z. analyzed the data. H.J. contributed reagents & materials. Y.-W.H. and S.S. wrote the main manuscript text.

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Supplementary Materials

Supplementary Information
srep30352-s1.pdf (704.8KB, pdf)

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