Transcriptome profiling of a Sinorhizobium meliloti fadD mutant reveals the role of rhizobactin 1021 biosynthesis and regulation genes in the control of swarming
© Nogales et al; licensee BioMed Central Ltd. 2010
Received: 16 September 2009
Accepted: 8 March 2010
Published: 8 March 2010
Swarming is a multicellular phenomenom characterized by the coordinated and rapid movement of bacteria across semisolid surfaces. In Sinorhizobium meliloti this type of motility has been described in a fadD mutant. To gain insights into the mechanisms underlying the process of swarming in rhizobia, we compared the transcriptome of a S. meliloti fadD mutant grown under swarming inducing conditions (semisolid medium) to those of cells grown under non-swarming conditions (broth and solid medium).
More than a thousand genes were identified as differentially expressed in response to growth on agar surfaces including genes for several metabolic activities, iron uptake, chemotaxis, motility and stress-related genes. Under swarming-specific conditions, the most remarkable response was the up-regulation of iron-related genes. We demonstrate that the pSymA plasmid and specifically genes required for the biosynthesis of the siderophore rhizobactin 1021 are essential for swarming of a S. meliloti wild-type strain but not in a fadD mutant. Moreover, high iron conditions inhibit swarming of the wild-type strain but not in mutants lacking either the iron limitation response regulator RirA or FadD.
The present work represents the first transcriptomic study of rhizobium growth on surfaces including swarming inducing conditions. The results have revealed major changes in the physiology of S. meliloti cells grown on a surface relative to liquid cultures. Moreover, analysis of genes responding to swarming inducing conditions led to the demonstration that iron and genes involved in rhizobactin 1021 synthesis play a role in the surface motility shown by S. meliloti which can be circumvented in a fadD mutant. This work opens a way to the identification of new traits and regulatory networks involved in swarming by rhizobia.
Swarming is a type of bacterial motility generally dependent on flagella and is characterized by a rapid and co-ordinated population migration across solid surfaces. In contrast to other modes of bacterial surface translocation, swarming involves a complex process of differentiation in which cells usually become hyperflagellated and elongated . Signals and signalling pathways controlling swarm cell differentiation are largely unknown. Extracellular chemical signals such as N-acyl-homoserine lactones (AHL), peptides and amino acids, fatty acids, polyamines, etc, as well as physiological parameters, surface contact and wetness provide stimuli to trigger swarm cell differentiation (reviewed in [1–4]). It is generally believed that the different environmental, cell-to-cell, and intracellular signals may be sensed and transduced by two-component regulatory systems and cytosolic regulators, leading to a complex regulatory network.
Classical genetic studies performed in different bacteria have allowed the identification of several genes essential for swarming. Interestingly, recent genome-scale approaches performed in model bacteria such as Salmonella typhimurium, Escherichia coli and Pseudomonas aeruginosa, indicate that swarmer differentiation represents much more than a motility phenotype as substantial alterations in metabolic pathways and gene expression have been observed [5–9]. In E. coli, up to one-fifth of the genes on the genome seem to be involved in swarming . Besides flagellar functions, a large number of genes involved in several metabolic activities, iron acquisition, regulatory proteins, chaperones, and biosynthesis of cell surface components have been demonstrated to be important for this multicellular migration [7, 8].
In several pathogenic bacteria, swarming is associated with virulence [1, 2]. This could be partially due to the fact that the expression of some virulence determinants seems to be coregulated with swarmer differentiation. Urease, metalloprotease and haemolysin are up-regulated during swarming in the uropathogenic Proteus mirabilis, whereas phospholipase is induced in the opportunistic pathogen Serratia liquefaciens. Global gene expression analysis performed on swarmer cells has revealed the up-regulation of a large number of virulence-related genes in S. typhimurium and P. aeruginosa such as genes encoding components of a type III secretion system, its effectors, extracellular proteases, and proteins involved in iron transport [6, 9]. An interesting aspect related to virulence is the fact that swarmer cells, like biofilm communities, display increased resistance to several antimicrobials when compared to planktonic cells [9, 11].
Although swarming has been extensively studied in pathogenic bacteria, this type of surface motility has also been described in beneficial bacteria such as rhizobia. These soil bacteria are known for their ability to establish a mutualistic symbiosis with legume plants. A remarkable feature of this interaction is the formation of a new organ, the root nodule, within which endosymbiotic differentiated bacteria fix atmospheric nitrogen to generate nitrogen sources usable by the plant, thus conferring a nutritional advantage to the host. The formation of a nitrogen-fixing nodule is a complex process requiring the coordination of bacterial infection with a root developmental program (for a review see [12, 13]). Accumulating evidence suggests that in order to colonize, invade and establish a chronic infection within the host, rhizobia use similar strategies as pathogenic bacteria (reviewed in [14, 15]).
The first report of swarming by rhizobia was described for a fadD mutant of the alfalfa symbiont Sinorhizobium meliloti. In this bacterium, the lack of the fadD gene (encoding a long-chain fatty acyl-coenzyme A ligase), results in multicellular swarming behaviour but also defects in nodulation, thereby suggesting that fatty acid-related compounds may act as signals controlling motility and symbiosis. More recently, it has been reported that a wild type strain of Rhizobium etli, the bacterial symbiotic partner of common bean plants, can swarm . The finding that mutants in the cinIR quorum sensing system of this bacterium were no longer able to move over semisolid surfaces, led to the discovery that AHL carrying a long-chain fatty acid moiety have a dual role in swarming in this rhizobium: as quorum sensing signals and as biosurfactants which promote surface translocation . The characterization of several R. etli mutants defective in swarming has allowed the identification of additional genetic determinants which seem to play a role in this multicellular behaviour, including genes involved in polysaccharide synthesis or export, motility and amino acid and polyamines metabolism . Interestingly, half of the mutants with an altered swarming pattern showed deficiencies in either nodulation or nitrogen fixation. The biological role of swarming in rhizobia remains to be elucidated. However, the fact that some mutations which alter swarming behaviour in S. meliloti and R. etli result in an impairment in the establishment of the symbiosis, suggests either that components essential for this multicellular motility and/or factors which are co-regulated during swarmer cell differentiation may play a role in the interaction with the host plant.
To gain insights into the adaptation process involved in multicellular swarming motility in rhizobia, global gene expression profiles of S. meliloti fadD cells under swarming inducing conditions were determined and compared with the profiles obtained during growth in liquid media as well as on non-swarming hard agar.
Results and Discussion
Construction and characterization of a S. meliloti Rm1021 fadD mutant
Transcriptome profiling of S. meliloti 1021FDC5 in broth and on agar surfaces
Number of genes differentially expressed in S. meliloti 1021FDC5 in response to different growth conditions
Semisolid vs liquid
Semisolid vs solid
Solid vs liquid
Surface responsive genes
The comparison of the transcriptome of cells grown in liquid MM with that of cells grown on solid or semisolid MM sampled at two different time points, led to the identification of 1112 differentially expressed genes (Table 1 and striped area in Fig. 4): 705 genes were up-regulated in response to surface growth, 384 were down-regulated, and 23 genes showed variable responses (up- or down-regulated depending on the time point or agar concentration). Most of the surface responsive genes identified in our study (96%) showed a late response, appearing as differentially expressed after 14 hours growth (Table 1).
Many of the down-regulated genes (31%) encoded proteins of unknown or hypothetical function, which hindered drawing conclusions from down-regulated processes. Most noteworthy of the remaining down-regulated genes is that several are involved in nitrogen metabolism and exopolysaccharide production. Among the former are the regulatory genes glnK and ntrBC, glutamine synthetase genes (glnII, glnT, SMc01594 and SMc02352), putative glutamate synthase genes (glxBCD and gltD), the nirB nitrite reductase gene, and genes coding for transporters for ammonium (amtB), nitrate (nrtABC and SMb21114), and amino acids (aap genes). The lower expression observed for most of these genes could be explained by the down-regulation of the ntrC gene coding for the key transcriptional activator of nitrogen catabolic operons . Likewise, the expression of some nif (nifA, nifB, nifX) and fix (fixB, fixI2, fixQP3) genes was diminished in cells grown on solid and semisolid media compared to liquid culture. This could also be a consequence of the lower abundance of the NtrC activator and/or of the higher oxygen concentration in agar-solidified media. The other conspicuous group of down-regulated genes in response to growth in agar surfaces included several exo genes involved in exopolysaccharide (EPS) production (exoA, exoM, exoN, exoP, exoN2).
In contrast with the down-regulated genes, the majority (85%) of the genes up-regulated in response to surface growth have known or putative functions. Below is a description of the most relevant ones:
1) Carbon and energy metabolism
The induction of genes involved in the uptake (smoEFGK) and metabolism (smoS, mtlK, xylA) of mannitol as well as those involved in glutamate degradation (glmS, gsh1, carA, gabT, nodM), the carbon and nitrogen sources provided in our experiments, indicated a higher metabolic rate in response to surface growth. This is in agreement with the up-regulation of genes of the tricarboxylic acid cycle (lpdA2, acnA, icd, sdhBCD, mdh, sucABCD, pckA), the Calvin cycle (SMb20194, ppe, cbbXSLAT), glycolysis (cbbA2, gap, glk, pgk, eno, pdhAa, pgi), and of the different complexes in the respiratory chain and associated functions: nuoA1B1C1D1G1IJK1LMN, cyoBC, fixN1Q1, ndh, ctaBCDE, rrpP, ppa, ppk, atpABDEFF2GHI and SMc00410. The higher metabolic rate could also be the cause of the observed induction of phosphate transport systems (phoTEDC, phoU, pstABC and SMc02146).
2) Protein metabolism
As many as 54 genes coding for ribosomal proteins were found to be induced during surface growth. We also observed up-regulation of different genes involved in the ribosome assembly and maturation (rbfA and rhlE), genes involved in the processing of mRNA, rRNA and tRNA (rne, rnc, rnr, rnpA and pnp), and different genes related to the translation process (infB, tufA, tufB, fusA1, tsf, pth and prfB). Due to the general induction of protein synthesis it was not a surprise to find induction of other related processes such as tRNA and amino acid biosynthesis (16 tRNA synthetases and 46 genes involved in the synthesis of different amino acids showed increased expression during surface growth).
3) Macromolecule synthesis
In agreement with the above mentioned increase in protein synthesis, the induction of several functions related to the transcription process was also observed, including the induction of RNA polymerase genes (rpoA, rpoB, rpoC and rpoZ), several sigma factors (rpoH1, rpoE4 and sigA) and the transcription terminator factor (rho). On the other hand, we also detected induction of genes involved in DNA synthesis (dnaN, dnaX, topA, and gyrA) and related functions (purA, purM, purQ, guaA, guaB, pyrB, SMc01361, pyrC-pyrE-frk, pyrF, cyaC, SMa2357, ndk, prsA, SMc02218,typA).
Our microarray data suggest that during growth on agar surfaces, S. meliloti cells stimulate fatty acid biosynthesis over degradation. Thus, genes involved in the initiation (accA, accBC, accD) and elongation (fabABI2, fabF, fabG, plsX-fabH, fabI1, fabZ, SMc04273) of fatty acids and the acyl carrier protein AcpP were up-regulated during growth on agar media compared to broth, whereas the fadB and SMc02229 genes, putatively involved in degradation of fatty acids were down-regulated.
As previously mentioned, we observed repression of several exo genes suggesting that in response to growth on agar surfaces, S. meliloti produces less succinoglycan. On the contrary, several genes with a role in the synthesis of different surface polysaccharides were found to be up-regulated. This was the case for the kdsA, kdsB and kdtA genes, involved in the synthesis and transfer of Kdo (3-deoxy-D-manno-2-octulosonic acid), a component present in capsular polysaccharides (KPS) and lipopolysaccharides (LPS); the rkpA gene involved in the biosynthesis of a specific lipid carrier required for KPS synthesis; and the acpXL and lpxD genes involved in the biosynthesis of the lipid A of LPS . Genes involved in the transport and modification of cyclic β-glucans such as ndvA and opgC as well as genes involved in the synthesis of peptidoglycan (murA) and lipoproteins (lgt) were also up-regulated under surface growth conditions.
4) Motility and chemotaxis
No less than thirty seven genes of the flagellar regulon were up-regulated during growth on a surface, whereas only two chemotaxis genes (cheW3 and mcpT) showed lower expression under these conditions compared to growth in liquid medium. Up-regulated genes included those for chemotaxis (cheABR and mcpEUX), the flagellar structure (flaCD, fliEFLGM, fliK, flgABCDEFGHIKL), the flagellar motor (motABC), the chaperone-encoding gene motE, related genes of yet unknown function (SMc03013, SMc03017, SMc03023, and SMc03045), as well as genes coding for regulatory proteins (flaF, flbT, visN and rem) [28, 29]. Motility genes were generally more induced than chemotaxis genes in response to growth on a surface. Five genes belonging to the four different classes of the S. meliloti flagellar regulon were chosen to validate our microarray data (see below).
5) Iron uptake and metabolism
19 genes up-regulated in response to growth on surfaces belong to this functional category, including genes involved in the synthesis (rhbBCDEF and SMa2339) and transport (rhtA, rhtX) of the siderophore rhizobactin 1021 [30–32]; several genes coding for proteins involved in the uptake of haem and hydroxamate siderophores (hmuPS, hmuT, shmR, fhuA1, fhuA2, fhuP) [33–35]; the exbB-exbD genes putatively coding for the inner membrane components of the TonB energy transduction complex required for Fe3+-siderophore acquisition systems ; the fhuF gene coding for ferrioxamine B reductase ; and the putative iron regulator irr. Induction of these genes may be related to increased difficulty for iron acquisition during growth on a solid surface due to a slower diffusion of nutrients than in broth.
6) Stress-related genes
Up-regulation of genes related to oxidative stress was detected in response to surface growth including sodB, katA, peroxidases (SMb20964 and cpo), and glutathione transferases (gst4 and gst8). Noticeable was also the induction of genes related to thermal stress such as those coding for cold shock proteins (cspA1, cspA4, cspA2 and cspA6) and heat shock proteins (grpE, hslU, hslV, hslO, ibpA, SMb21295 and SMc01106). The up-regulation of genes involved in DNA repair processes (radA, recF, recN and ligA) could be linked to the induction of genes involved in DNA synthesis (see above), whereas the induction of chaperone genes (groESL1, groESL2, tig, ibpA, lon) could be the consequence of the observed increase in protein synthesis and/or the existence of stress conditions during surface growth. Also noteworthy was the induction of several genes involved in resistance to different toxic compounds. This was the case for mrcA1, a gene coding for a probable penicillin-binding 1A transmembrane protein, the fsr gene which encodes a putative fosmidomycin resistance transmembrane protein, the uppP gene coding for a putative undecaprenyl-diphosphatase which could confer resistance to bacitracin, putative components of a multidrug efflux system (SMc02867 and SMc02868), and the aqpS-arsC genes involved in arsenic detoxification.
All together these data suggest the existence of striking differences in the physiology of S. meliloti growing in broth compared with agar surfaces and more specifically that cells growing on agar surfaces have a higher metabolic rate than those grown in broth. Similar results were obtained in a transcriptomic study performed in Salmonella. As suggested in the work by Wang et al. , this could be explained if agar surfaces represent a more aerobic environment than liquid cultures. This could also explain the down-regulation we have observed for several low oxygen responsive genes (nif and fix) during growth on agar-solidified media when compared to broth. On the other hand, the up-regulation of several genes related to oxidative stress, chaperone functions, or genes involved in resistance to different toxic compounds, could indicate that cells growing on solid agar surfaces are subject to stress. However, the observed induction of chemotaxis and motility genes together with the down-regulation of several exo genes under surface growth contrast with the response of S. meliloti to several environmental stresses (osmotic stress, phosphate and iron starvation, or acidic pH), in which motility genes are down-regulated while at the same time exo genes are up-regulated [21, 37, 38]. The identification of several regulatory genes in S. meliloti which simultaneously affect EPS production and cellular motility, indicates that regulation of these two rhizobial traits are coupled [24, 39–41]. In addition to environmental stresses, the results obtained in this work suggest that contact with a surface might be another signal recognized by S. meliloti to co-ordinate the regulation of EPS production and motility.
Regulation of genes in response to swarming-specific conditions
In contrast to surface growth, our microarray data revealed that the response of S. meliloti to swarming-specific conditions is characterized by the differential expression of a smaller number of genes (294) (dotted area in Fig. 4; additional file 2): 99 of these were identified in the comparison semisolid vs. solid, 36 of which also appeared in the comparison semisolid vs. broth, plus 195 genes which exclusively appeared in semisolid vs. broth. This result is comparable to that found in a similar transcriptomic study performed in Salmonella in which a small number of genes (97) were found to show swarming-specific regulation, in contrast with more than a thousand genes found to respond to surface growth . In our study, most of the genes (73%) responding to swarming-specific conditions identified in the comparison semisolid vs. solid showed an early response (7 hours after incubation) (Table 1). On the contrary, the majority of genes (89%) identified in the semisolid vs. broth comparison, appeared after 14 hours of growth.
207 genes out of the 294 genes were up-regulated under swarming-inducing conditions, only 78 were found to be down-regulated and the remaining 9 showed variable responses. No informative conclusions could be reached from down-regulated functions as, firstly, approximately one fourth of the genes code for hypothetical proteins of unknown function and secondly the remaining down-regulated genes belong to diverse functional categories. Similarly, many of the up-regulated genes have unknown functions or display partial or global homology to genes deposited in databases (66 genes). This suggests that bacterial components with a putative role in swarming in S. meliloti have yet to be thoroughly studied. However, a subset (25 genes) of the up-regulated genes induced under swarming inducing conditions could be assigned to iron uptake and metabolism, including the transcriptional regulator of the iron limitation response rirA [42, 43], and the putative iron response regulator irr. It is also interesting that swarming conditions induced in S. meliloti 1021FDC5 a slight up-regulation of genes involved in the resistance to toxic compounds (mrcA2, uppP, aqpS-arsC). Increased resistance to antibiotics and to other antimicrobials has been observed in swarmer cells of different bacteria [9, 11]. Whether this is also the case for S. meliloti swarmer cells will be the subject of future studies.
Subset S36a of S. meliloti 1021FDC5 genes differentially expressed under swarming-specific conditions
Transcriptional regulator, RpiR family
Conserved hypothetical protein
Nex18 Symbiotically induced conserved protein
Conserved hypothetical protein
TspO Tryptophan rich sensory protein
Conserved hypothetical protein
Siderophore biosynthesis protein
RhbC rhizobactin biosynthesis protein
RhbE rhizobactin biosynthesis protein
RhbF rhizobactin biosynthesis protein
RhtA rhizobactin transporter
Putative glutathione S-transferase
ABC transporter, permease
ABC transporter, periplasmic solute-binding protein
Putative polysaccharide deacetylase
Hypothetical protein, possibly C terminus of iron ABC transporter periplasmatic solute-binding protein
Putative iron uptake ABC transporter periplasmic solute-binding protein precursor
Hypothetical signal peptide protein
Hypothetical, transmembrane protein
Conserved hypothetical signal peptide protein
Putative hemin transport system ATP-binding ABC transporter
Putative hemin binding periplasmic transmembrane protein
Putative hemin transport protein
Conserved hypothetical protein
Periplasmic component of ferrichrome and ferrioxamine B ABC transporter
Hypothetical protein, hemin uptake protein
NADH dehydrogenase I chain E
Probable biopolymer transport transmembrane protein
Probable biopolymer transport transmembrane protein
Hemin-binding outer membrane receptor
MFS-type transport protein
Validation of the results from the microarray experiments by RT-qPCR
To confirm the differential expression of genes showing response to swarming-specific conditions, we selected: four genes related to iron uptake and metabolism (rhbB, rhtA, hmuS and exbB) which showed early induction (7 h) in semisolid vs. solid; nex18, a symbiotically induced gene showing late (14 h) up-regulation in semisolid vs. solid; and exsF, a gene coding for a putative two-component response regulator with sequence similarity to CheY, and found as an early down-regulated gene in swarm cells compared to cells grown on solid MM. The expression of these six genes was determined on solid and semisolid MM after 7 and 14 hours of growth. As shown in Fig. 5B, once more, the RT-qPCR results confirmed the microarrays data.
As detailed above, we have macroscopic evidence that under our experimental conditions (spread plating on semisolid MM) cells of 1021FDC5 show swarming (Fig. 3). However, to test whether the genes differentially expressed under these conditions could truly be considered swarming-specific, we analyzed and compared the expression of rhbB, rhtA and hmuS by RT-qPCR from cells present in the border of swarming colonies obtained in standard swarming assays and cells from a colony grown on solid MM. The results confirmed the up-regulation of these genes in swarming cells vs non-swarming cells with relative expression values of 5.72 ± 0.54 for rhbB, 4.61 ± 0.38 for rhtA and 4.41 ± 0.69 for hmuS. The differences in the induction values found for these genes between cells spread plated on semisolid MM (Fig. 5B) and cells from the border of a typical swarming colony could be explained by differences in the growth phase of the two samples. Nevertheless, these data indicate that our experimental approach is adequate for the identification of swarming-specific genes.
Role of pSymA, rhizobactin-related genes and iron in S. meliloti swarming
Among the pSymA swarming-specific induced genes were those involved in the biosynthesis and transport of the siderophore rhizobactin 1021 . In E. coli, mutations in most of the genes involved in the utilization of the siderophore enterobactin strongly inhibit swarming . Likewise, in P. putida, mutants either in the siderophore pyoverdine or in the FpvA siderophore receptor have been shown to be defective in surface motility . Hence, the swarming-defective phenotype observed in SmA818 could be due to the lack of rhizobactin-related genes. To test this, swarming assays were performed with mutants affected in either of the two different rhizobactin 1021 biosynthesis genes (rhbA and rhbE), a mutant lacking the RhtA outer membrane receptor for the siderophore, and with a rhrA mutant strain lacking the AraC-like regulator which positively regulates the production and transport of rhizobactin 1021. Additionally, we also looked at the swarming phenotype of a rirA mutant. RirA has been demonstrated to be the general regulator of the iron response in S. meliloti, including genes involved in the biosynthesis and transport of rhizobactin 1021 [42, 43]. In our microarrays, rirA appeared to be induced 2-fold in growth on semisolid vs. solid media after 14 hours of incubation (see additional file 2). As shown in Fig. 6B, neither the mutants in the rhizobactin biosynthesis genes (rhb) nor the rhrA mutant were able to swarm, while the absence of either the RhtA siderophore receptor or the RirA regulator did not prevent swarming. The motility defect shown by the rhb and rhrA mutants was specific for swarming since assays performed in Bromfield and MM (0.3% agar) showed that these strains were able to swim (Fig. 6C). Thus, the motility phenotypes shown by the rhb and rhrA mutants suggest that either rhizobactin-mediated iron uptake or rhizobactin per se play a role during swarming in S. meliloti Rm2011. In P. putida, the defect in swarming shown by mutants unable to synthesize the siderophore pyoverdine could be restored by adding different sources of iron, suggesting that the intracellular iron level rather than the siderophore is the functional signal for swarming in this bacterium . To test whether the lack of surface motility in the rhb and rhrA mutants could be due to iron deficiency, increasing concentrations (22, 220, and 2200 μM) of either FeCl3 or the iron chelate ferric citrate, whose uptake is independent on siderophore, were added to the media. None of these conditions could restore surface translocation in the mutants (data not shown), with the highest concentration used being inhibitory of cell growth. This result indicated that low intracellular iron levels were not responsible for the swarming deficiency of the rhb and rhrA mutants, and that the presence of rhizobactin 1021 is important for triggering swarming in S. meliloti. Furthermore, the fact that the rhtA mutant which is defective in rhizobactin 1021 utilization , still swarms (Fig. 6B) suggests that the function played by rhizobactin 1021 in swarming is exerted outside the cell. Rhizobactin 1021 is a citrate-based dihydroxamate siderophore structurally similar to schizokinen with the only but important difference that rhizobactin 1021 contains a long-chain fatty acid ((E)-2-decenoic acid) that gives the siderophore an asymmetric structure and amphiphilic properties . The role of the decenoic acid residue in rhizobactin 1021 function has not been studied, although it has been proposed to be important during the membrane translocation of the ferric complex by making the molecule more mobile. Considering our results, it is tempting to speculate that the surfactant properties of rhizobactin 1021 may promote surface translocation in S. meliloti. Similarly, the biosurfactant activity associated to long-chain AHLs produced by R. etli has been proved to play a direct role in surface movement of swarmer cells, adding a new function to these well known signalling molecules . Curiously and in support of our hypothesis, S. meliloti GR4 which is not able to swarm on semisolid MM, does not produce siderophores in liquid MM as determined by the CAS assay (data not shown).
The restoration of surface motility of the rhizobactin-defective mutants was attempted by adding concentrated supernatants containing rhizobactin 1021. Although the addition of these supernatants functioned in iron nutrition bioassays restoring the growth of rhb mutants, they failed to promote swarming of the mutants and even hampered this surface motility of the wild type and fadD mutant strains (data not shown). This result might be due to the negative effect on swarming of supraoptimal concentrations of nutrients or compounds excreted by Rm2011.
To further confirm that the presence of rhizobactin 1021 is important for triggering swarming in S. meliloti, the motility phenotypes of Rm1021 and the rirA mutant were tested under iron-replete conditions as it has been reported that these conditions inhibit rhizobactin 1021 production in the wild type but not in the mutant . CAS assays were performed to determine siderophore concentrations in the supernatants of these two strains under different growth conditions. We found that the wild type and the rirA mutant produced similar amounts of siderophore when cells were cultivated in MM containing 22 μM of FeCl3 (data not shown). The presence of 220 μM of FeCl3 abolished siderophore production in Rm1021 but not in the rirA mutant (data not shown). Hence, swimming and swarming assays were performed in MM containing 220 μM of FeCl3. No differences in swimming were observed between the two strains (Fig. 6E). However, swarming by Rm1021 was inhibited at this iron concentration but not that by the rirA mutant in which swarming seemed even to be enhanced compared to lower iron concentrations (Fig. 6D). This result not only supports that in S. meliloti Rm1021 rhizobactin 1021 is required for swarming but also suggests that iron and rirA play a role in the control of this multicellular phenotype. The concentration of iron in the medium has been shown to be decisive for swarming in several bacteria [44, 46, 47]. In S. meliloti strain Rm1021, like in Pseudomonas spp., an excess of iron inhibits swarming, an effect that in S. meliloti could be due at least in part to the inhibition of rhizobactin 1021 production. On the other hand, the enhanced motility shown by the rirA mutant under high iron conditions suggests that additional genes controlled by this regulator might be involved.
The lack of a functional fadD gene restores swarming in pSymA-cured and rhizobactin-defective strains, and allows swarming under high-iron conditions
We also tested if the presence of high iron concentrations prevents swarming in a fadD mutant as it does in 1021. Swarming assays were performed on semisolid MM containing 220 μM of FeCl3 with 1021 and GR4 as wild type strains, and their corresponding fadD-derivative mutants. As shown in Fig. 7C, swarming was never observed in GR4 but always in the fadD mutant QS77. As already mentioned, in 1021 swarming was observed at a certain frequency on MM containing 22 μM of FeCl3 and never observed under high iron conditions but its corresponding fadD mutant showed swarming at both iron concentrations similar to that found for the rirA mutant. However, in contrast to the rirA mutant, the iron-independent swarming phenotype shown by the fadD mutant cannot be explained by differences in the production of rhizobactin 1021 since the fadD mutant, like the wild type, inhibits siderophore production under high iron conditions (data not shown). Therefore in S. meliloti, the lack of a functional fadD gene relieves the control that iron has over swarming as well as the dependence on rhizobactin 1021 for this surface motility. A possibility worth investigating is if fatty acid derivatives, whose concentration is dependent on FadD activity but not iron-responsive, could replace siderophore function during swarming. Likewise, future investigations should address a possible connection between the rirA and fadD regulatory networks that could explain the iron-insensitivity of swarming shown by the fadD and rirA mutants.
To the best of our knowledge, the present work represents the first global gene expression analysis of rhizobium growth on surfaces, including swarming inducing conditions. The results reveal that the physiology of S. meliloti cells growing on the surface of agar media is significantly different from that of cells growing in broth, with the differential expression of more than a thousand genes. It is tempting to speculate that these major changes in gene expression could also take place in rhizobium during colonization of root surfaces, an important prerequisite for nodule formation. Thus, the approach used in this study may be helpful to identify genes and regulatory mechanisms that could be crucial during the early stages of the rhizobium-legume symbiosis and it could serve as a model for studying gene expression in different plant-associated bacteria.
The surface motility shown by several expR-deficient strains in this work indicates that the role played by this LuxR-type regulator in swarming by S. meliloti needs to be re-examined. Moreover, the genomic analysis under swarming-inducing conditions allowed the identification of environmental signals (surface contact and iron concentration) and genes that play important roles in the control of this surface motility in a wild type strain of S. meliloti. Furthermore, the results suggest that rhizobactin 1021 plays a role in swarming although the requirement for rhizobactin-related genes and the inhibition of this surface motility by an excess of iron can be circumvented in a fadD mutant. Future work should focus on investigating the specific role of rhizobactin 1021 in swarming of S. meliloti as well as to identify why the lack of a functional fadD gene allows surface translocation of bacterial cells under conditions which negatively influence this type of multicellular migration.
Bacterial strains and growth conditions
Bacterial strains and plasmids used
Strain or plasmid
Reference or source
supE 44, ΔlacU 169, f 80, lacZ ΔM, recA 1, endA 1, gyrA 96, thi 1, relA 1, 5hsdR 171
Bethesda Research Lab®
thi, pro, recA, hsdR, hsdM, Rp4Tc::Mu, Km::Tn7; Tpr, Smr, Spr
GR4 (fadD::Tn5), Kmr
SU47 expR102::ISRm 2011-1, Smr
Rm1021 (ΔfadD::Km), Smr Kmr
Rm1021 (ΔfadD::SmSp), Smr Spr
SU47expR102::ISRm 2011-1, Smr
Rm2011 (ΔfadD::SmSp), Smr Spr
Rm2011 pSymA cured, Smr
SmA818 (ΔfadD::SmSp), Smr Spr
Rm2011 (rhbA:: Tn5lac), Smr Rifr Nmr
2011rhbA62 (ΔfadD::SmSp), Smr Spr Rifr Nmr
Rm2011 (rhbE:: Tn5lac), Smr Rifr Nmr
2011rhbE11 (ΔfadD::SmSp), Smr Spr Rifr Nmr
Rm2011 (rhrA:: Tn5lac), Smr Rifr Nmr
2011rhrA26 (ΔfadD::SmSp), Smr Spr Rifr Nmr
Rm2011 (rhtA:: Tn5), Smr Rifr Nmr
2011rhtA1 (ΔfadD::SmSp), Smr Spr Rifr Nmr
Rm1021 (lac-, rirA::Km), Smr Kmr
G212rirA (ΔfadD::SmSp), Smr Kmr
Cloning vector; Apr
Plasmid containing Sm/Sp cassette; Apr, Smr, Spr
Plasmid containing Km cassette; Apr, Kmr
Suicide plasmid; Kmr
pBBR1 MCS-3 derivative containing the fadD gene of S. meliloti GR4; Tcr
pBSKS derivative containing the fadD gene of S. meliloti GR4; Apr
pBSDIL12 in which the fadD gene has been deleted and interrupted with a Km cassette; Apr Kmr
pK18mobsacB carrying the fadD mutated version of pBS12.6Km;
pK18fadDCKm in which the Km cassette interrupting the fadD gene has been substituted by a Sm/Sp cassette
Construction of S. meliloti fadD mutants
The fadD- strain 1021FDC5 used in the microarray experiments was obtained by allelic exchange. A disrupted version of the fadD gene was constructed by deleting an internal fragment and inserting a kanamycin resistance cassette. Firstly, a Kpn I/Xba I fragment harbouring the fadD gene of S. meliloti was subcloned from pBBRD4  into pBluescript to give pBSDIL12. After removal of a Bam HI site from the polylinker of pBSDIL12, an internal Bam HI fragment of 300 bp of the fadD gene was replaced with a 2.2 kb Bam HI fragment containing the KmR cassette from pHP45Ω-Km to give pBS12.6Km. This construction was digested with Kpn I, treated with T4 DNA polymerase (Roche Biochemicals) to make blunt ends, and then digested with Xba I to isolate the KmR fragment which was then cloned into the suicide vector pK18mobsacB previously digested with Sma I/Xba I, to give pK18fadDCKm. This plasmid was introduced by conjugation into S. meliloti 1021 and allele replacement events were selected as described previously .
The fadD- strain 1021FDCSS was obtained following the same procedure as for 1021FDC5 with the only difference that the KmR cassette present in pK18fadDCKm was substituted by the SmR/SpR cassette from pHP45Ω to give pK18fadDCSS. The fadD mutation present in 1021FDCSS was transferred into different strain backgrounds by generalized transduction of 1021FDCSS using phage ôM12 as described previously . All the different fadD mutants obtained were confirmed by Southern hybridization with a specific probe.
Swarming and swimming assays
Swarming assays were carried out as described in Soto et al. . Briefly, S. meliloti cells grown in TY broth to late logarithmic phase (optical density (OD) at 600 nm = 1-1.2) were pelleted, washed twice in MM and resuspended in 0.1 volume of the latter medium. 2 μl aliquots of this bacterial suspension (ca. 2 × 107cells) were dispensed onto the surface of swarm plates and allowed to dry for 10 min. Swarm plates were prepared with 20 ml of MM containing 0.6% purified agar (Pronadisa), and air dried at room temperature for 15 min. Incubation periods of 14 to 20 h at 30°C, were enough to observe swarming. To complement swarming in rhizobactin-defective mutants, a concentrated supernatant containing rhizobactin 1021 was prepared as described by Lynch et al.  from wild-type strain Rm2011 grown to stationary phase in either TY broth with 200 μM 2, 2'-dipyridyl or MM broth with 2 μM 2, 2'-dipyridyl. Before its use in swarming assays, the presence of siderophore in the supernatants was checked in iron nutrition bioassays as described by Lynch et al. . Two complementation approaches were used: 1) a well was cut in the center of a swarm plate and 100 μl of the rhizobactin containing supernatant was added. Aliquots of the wild type strain and rhizobactin-defective mutants prepared as described above were placed onto the surface of the swarm plate surrounding the well; 2) cells of the wild type strain and rhizobactin-defective mutants were grown in TY broth, pelleted, washed twice in MM and resuspended in 0.1 volume of the rhizobactin containing supernatant. Finally, 2 μl aliquots of this bacterial suspension were assayed for surface motility on swarm plates.
Swimming plates were prepared with either Bromfield medium (0.04% tryptone, 0.01% yeast extract, and 0.01% CaCl2.2H2O) containing 0.3% Bacto agar or with MM containing 0.3% purified agar. Plates were inoculated with 3 μl droplets of rhizobial cultures grown in TY, and incubated at 30°C for 2 to 5 days.
Determination of bacterial growth curves
Bacterial growth curves of S. meliloti 1021FDC5 were determined in liquid, semisolid (0.6% purified agar) and solid (1.3% purified agar) MM. A preinoculum was grown in 20 ml of TY broth to late logarithmic phase (OD600 nm = 1-1.2). After incubation, cells were pelleted, washed twice in MM and resuspended in 2 ml of the latter medium. For growth curves in liquid MM, Erlenmeyer flasks (250 ml) containing 50 ml of liquid MM were inoculated with 0.5 ml of the rhizobial suspension (approximately 108 cells/ml) and incubated at 30°C with continuous shaking (190 r.p.m.). For growth curves in plates, aliquots of 0.1 ml of the rhizobial suspension were used to sow MM plates (approximately 109 cells/plate). This size of inoculum was used to ensure that on semisolid and solid MM plates, the same density of cells per surface area was applied as in standard swarming assays (107 cells per 0.2 cm2). The rhizobial suspension was evenly spread over the surface of semisolid and solid MM plates, allowed to dry for 10 min and then inverted and incubated at 30°C. This sampling on plates was preferred over inoculation with droplets, to minimize heterogeneity among cells. Samples from liquid cultures and plates were collected at different time points for cell count determination. Cells grown on plates were harvested by scraping the surface with 2 ml of sterile liquid MM.
RNA isolation and synthesis of labelled cDNA
For RNA isolation, cells from 18 ml of broth culture or grown on the surface of 3 plates were harvested, washed with sarkosyl 0.1% and cell pellets were immediately frozen in liquid nitrogen and conserved at -80°C until RNA isolation. For microarray hybridization and reverse transcription quantitative real-time PCR (RT-qPCR), RNA was isolated using the Qiagen RNeasy RNA purification kit (Qiagen) following the manufacturer's instructions. Residual DNA was removed with RNase-free Dnase I Set (ROCHE). The quality of the RNA was checked on 1.4% agarose gel electrophoresis.
Cy3- and Cy5-labelled cDNAs were prepared according to DeRisi et al.  from 15 μg of total RNA. Three slide hybridizations were performed using the labelled cDNA synthesized from each of the RNA preparations from three independent bacterial cultures.
Microarray hybridization, image acquisition and data analysis
Sm6koligo microarrays were purchased from A. Becker (University of Bielefeld, Bielefeld, Germany). Hybridizations were performed as described previously [21, 37]. For image acquisition a GenePix 4100A Scanner (Axon Instruments, Inc., Foster City, CA, USA) was used. Quantifications of mean signal intensities for each spot were determined using the GenePix Pro 5.0 software (Axon Instruments, Inc.). Normalization and t-statistics were carried out using the EMMA 2.6 microarray data analysis software developed at the Bioinformatics Resource Facility Center for Biotechnology, Bielefeld University http://www.genetik.uni-bielefeld.de/EMMA/. Three independent biological replicates were performed for each experiment. Genes were regarded as differentially expressed if they showed p ≤ 0.05, A ≥ 7 and M ≥ 1 or M ≤ -1 (A, average signal to noise; M value is log2 experiment/control ratio) in any of the experiments performed. Detailed protocols and raw data resulting from the microarray experiments have been deposited in the ArrayExpress database with the accession number E-MEXP-1953.
Reverse transcription quantitative real-time PCR (RT-qPCR)
Total RNA (1 μg) treated with RNase-free Dnase I Set (ROCHE) was reversely transcribed using Superscript II reverse transcriptase (INVITROGEN) and random hexamers (ROCHE) as primers. Quantitative real-time PCR was performed on an iCycler iQ5 (Bio-Rad, Hercules, CA, USA). Each 25 μl reaction contained either 1 μl of the cDNA or a dilution (1:10.000, for amplification of the 16S rRNA gene), 200 nM of each primer and iQ SyBrGreen Supermix (BioRad). Control PCR reactions of the RNA samples not treated with reverse transcriptase were also performed to confirm the absence of contaminating genomic DNA. Samples were initially denatured by heating at 95°C for 3 minutes followed by a 35-cycle amplification and quantification program (95°C for 30 s, 55°C for 45 s, and 72°C for 45 s). A melting curve was conducted to ensure amplification of a single product. The oligonucleotide sequences for qPCR are listed in additional file 3. The efficiency for each primer pair (E) was determined by running 10-fold serial dilutions (4 dilution series) of Rm1021 genomic DNA as template and generating a standard curve by plotting the log of the dilution factor against the CT value during amplification of each dilution. Amplification efficiency is calculated using the formula (E = [10(1/a)-1] × 100) where a is the slope of the standard curve.
The relative expression of each gene was normalized to that of 16 S rRNA and the analysis of results was done using the comparative critical threshold (ΔΔCT) method .
CAS siderophore assay
The determination of siderophores in liquid cultures was performed using the Chrome azurol S (CAS) assay solution described by Schwyn and Neilands . Supernatants of S. meliloti cultures grown in MM containing different concentrations of FeCl3 were mixed 1:1 with the CAS assay solution. After reaching equilibrium, the absorbance was measured at 630 nm.
type III secretion system
reverse transcription-quantitative polymerase chain reaction
Chrome azurol S.
We thank Dr M. Hynes and Dr. M. O'Connell for providing several strains used in this work. JN was supported by a postdoctoral contract (Consejería de Innovación, Ciencia y Empresa, Junta de Andalucía). This work was supported by a FPI fellowship from MICINN to CVA-G, and by grants BIO2007-62988 and CVI 03541 to MJS.
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