- Open Access
Genomic characterization of Sinorhizobium meliloti AK21, a wild isolate from the Aral Sea Region
- María Dolores Molina-Sánchez†1,
- José Antonio López-Contreras†1,
- Nicolás Toro1 and
- Manuel Fernández-López1Email author
© Molina-Sánchez et al. 2015
Received: 15 January 2015
Accepted: 26 May 2015
Published: 16 June 2015
The symbiotic, nitrogen-fixing bacterium Sinorhizobium meliloti has been widely studied due to its ability to improve crop yields through direct interactions with leguminous plants. S. meliloti AK21 is a wild type strain that forms nodules on Medicago plants in saline and drought conditions in the Aral Sea Region. The aim of this work was to establish the genetic similarities and differences between S. meliloti AK21 and the reference strain S. meliloti 1021. Comparative genome hybridization with the model reference strain S. meliloti 1021 yielded 365 variable genes, grouped into 11 regions in the three main replicons in S. meliloti AK21. The most extensive regions of variability were found in the symbiotic plasmid pSymA, which also contained the largest number of orthologous and polymorphic sequences identified by suppression subtractive hybridization. This procedure identified a large number of divergent sequences and others without homology in the databases, the further investigation of which could provide new insight into the alternative metabolic pathways present in S. meliloti AK21. We identified a plasmid replication module from the repABC replicon family, together with plasmid mobilization-related genes (traG and a VirB9-like protein), which suggest that this indigenous isolate harbors an accessory plasmid. Furthermore, the transcriptomic profiles reflected differences in gene content and regulation between S. meliloti AK21 and S. meliloti 1021 (ExpR and PhoB regulons), but provided evidence for an as yet unknown, alternative mechanism involving activation of the cbb3 terminal oxidase. Finally, phenotypic microarrays characterization revealed a greater versatility of substrate use and chemical degradation than for S. meliloti 1021.
Since its discovery in 1888, the biological fixation of N2 (BFN) has been considered a potentially useful tool for land remediation (Peoples et al. 1995; Hellriegel and Wilfarth 1888). The symbiotic interaction between the soil bacterium Sinorhizobium meliloti and the leguminous plant Medicago sativa is one of the most widely studied models. S. meliloti is found in many different soil environments around the world, suggesting that this species has broad metabolic adaptation capabilities (Souza et al. 1992; Paffetti et al. 1996; Jebara et al. 2001; Roumiantseva et al. 2002; Biondi et al. 2003; Giuntini et al. 2005; Bailly et al. 2007; Jones et al. 2007; Stiens et al. 2008; Schneiker-Bekel et al. 2011). Investigations of genome dynamics have been carried out at the intra- and interspecies levels in recent years in intensive studies of natural isolates of related rhizobia, discriminating between core and accessory genes (Guo et al. 2009; Galardini et al. 2011, 2013a, b; Bailly et al. 2011; Epstein et al. 2012; Sugawara et al. 2013). The complete annotated genome sequence of S. meliloti isolated from diverse soil types (agricultural fields, contaminated soils,…) and continents (1021, SM11, BL225C, AK83, GR4, Rm41) can now be obtained from databases (Galibert et al. 2001; Schneiker-Bekel et al. 2011; Galardini et al. 2011; Martínez-Abarca et al. 2013), and several other draft genomes are also available (Galardini et al. 2013a, b).
Fixation rates in saline environments are highly dependent on the physiological state of the host plant and the salt tolerance of the rhizobia. Salt stress decreases the nodulation of leguminous plants, by inhibiting very early symbiotic events (Zahran 1991). Salinity therefore has a major impact on soil usage in agriculture. Remarkably, about 40% of soils worldwide have high salt contents and are generally considered to be unproductive. The general solution applied to overcome this problem in recent decades has been the extensive use of chemical fertilizers and salt-tolerant plants (Zahran 1999). However, the production and application of fertilizers are costly practices, both economically and ecologically. This led to efforts to isolate salt-tolerant plants and rhizobial strains mediating efficient nodulation in saline conditions, which have met with limited success (Ibragimova et al. 2006; Moawad and Beck 1991; Craig et al. 1991; Mohammad et al. 1991; Chien et al. 1992; Zou et al. 1995; El-Sheikh and Wood 1995; Lal and Khanna 1995; Mashhady et al. 1998; Hashem et al. 1998; Ohwada et al. 1998). In recent years, the emphasis has shifted to the description of genes conferring salt tolerance in free-living rhizobia and in rhizobia living in symbiosis with plants (Nogales et al. 2002; Kanesaki et al. 2002; Wei et al. 2004; Han et al. 2005; Domínguez-Ferreras et al. 2006, 2009). For instance, the trehalose biosynthesis has a role in S. meliloti osmotolerance and nodule occupancy (Domínguez-Ferreras et al. 2009) and noeJ, involved in LPS biosynthesis, seems to indirectly control salt tolerance in R. tropici (Nogales et al. 2002). S. meliloti AK21 has been isolated from nodules of Medicago sativa L. subsp. ambigua growing in the North Aral Sea Region, an area severely hit by drought, salinity and the effects of pollution (Ibragimova et al. 2006). Here, we aim to establish the main features of S. meliloti AK21 in comparison to the reference strain S. meliloti 1021. Genomic similarities were defined by comparative genome hybridization (CGH) (Salama et al. 2000; Murray et al. 2001; Malloff et al. 2001; Cummings et al. 2004; Rajashekara et al. 2004; Giuntini et al. 2005; Taboada et al. 2007; Wu et al. 2008; Guinane and Fitzgerald 2008; Carter et al. 2008), and the specific genetic differences were revealed by suppression subtractive hybridization (SSH) (Lukyanov et al. 1994; Diatchenko et al. 1996; Gurskaya et al. 1996; Akopyants et al. 1998; Galbraith et al. 2004). We also carried out transcriptional and phenotypic characterization of the natural isolate S. meliloti AK21 by microarray-based cDNA hybridization and with a phenotype microarray system (Biolog), respectively. Higher levels of sequence variability were observed in the megaplasmid pSymA than in the other replicons. Moreover, we found that S. meliloti AK21 also contained newly acquired genes, probably organized into an accessory plasmid, potentially accounting for the fitness of this wild isolate. Finally, S. meliloti AK21 displayed major differences in gene expression with respect to S. meliloti 1021, which may point toward the factors underlying nodulation efficiency in saline conditions.
Comparative genomic hybridization reveals large missing regions in S. meliloti AK21 compared to S. meliloti 1021 genome
Detailed description of S. meliloti 1021 gene clusters missing from the S. meliloti AK21 genome
Number of genes
Conserved hypothetical proteins; helicase DNA-binding protein
Restriction-modification system (hsdM/S/R)
Dehydrogenase; transketolase; transporter system; transcriptional regulator
Transcriptional regulator; putative transmembrane proteins
Conserved hypothetical proteins; acyl transferases; acyl carrier protein
Temperate phage insertion; peptide/amino-acid metabolism and transport
Transcriptional regulator; amino acid metabolism; deshydrogenase; ABC transporter systems; adenylate/guanylate cyclase (cyaI2)
ABC transporter systems; adenylate/guanylate cyclase (cyaP); regulatory elements; cation transport
ABC transporter systems; dehydrogenases; oxidoreductases; aminotransferases
Rhizobactin biosynthesis and transport
Capsular biosynthesis and export
Gene expression profile of S. meliloti AK21
Taken together, our data point out that pSymA displayed only a few differences in gene expression despite the high level of plasticity inferred from its genetic structure. Conversely, high levels of variation were observed for the expression of genes on the chromosome.
Suppression subtractive hybridization identifies different groups of genes differing with respect to the Rm1021 genome
In total, 357 contigs were generated, ranging from 119 to 640 bp in length. These sequences were then grouped into five categories (Figure 3b; Additional file 3): (a) false-positives displaying 100% identity to the Rm1021 genome sequence on Blastn analysis; (b) polymorphic sequences with slightly different nucleotide sequences but encoding proteins with sequences identical to those of the reference strain, as shown by Blastx analysis (100% identity); (c) orthologous sequences, encoding proteins displaying >85% identity to S. meliloti 1021 proteins on Blastx analysis; (d) divergent sequences, including those excluded from the previous categories, but for which homologous sequences were identified in the NCBI database by either Blastn or Blastx analysis; and finally, (e) orphan sequences displaying no identity to any of the known sequences in the databases. More than 25% of the sequences were false-positives, consistent with previous observations (Guo et al. 2005; Hermans et al. 2005; Zhang et al. 2005). The discriminative capacity of this technique made it possible to identify 40% of the total number of contigs as polymorphic or orthologous sequences. Most of the orthologous sequences displayed higher levels of identity to genes identified in S. meliloti strains other than Rm1021, including even the related but divergent species S. medicae WSM419. The number of orthologous sequences (50 contigs out of 108 analysed sequences) was higher for the pSymA megaplasmid than for the chromosome (33 contigs) or pSymB (25 contigs), consistent with the differences in variability between the three replicons described above (Additional file 3). Furthermore, this relative abundance of such sequences on pSymA may account for the large number of genes related to symbiosis (noeB) and nitrogen fixation (such as arcB, nolG and nifA) obtained in orthologous sequence identification. Verification of the flanking regions of some of the abovementioned orthologous sequences by the Southern blotting of restriction enzyme-digested total DNA revealed a similar genetic organization in the S. meliloti AK21 and Rm1021 genomes (data not shown). The orphan category comprised 40 of the 357 contigs, including a potentially significant number of undiscovered genes.
Phenotypic microarrays identify interesting metabolic pathways in S. meliloti AK21
Metabolic capabilities acquired by S. meliloti AK21, as identified on phenotypic microarrays
Uridine 2′,3′-cyclic monophosphate
Cytidine 2′,3′-cyclic monophosphate
Guanosine 2′,3′-cyclic monophosphate
Methane sulfonic acid
5% potassium chloride
Osmotic sensitivity, KCl
pH, growth at 10
aa metabolism, aromatic amino acid decarboxylase inhibitor
Protein synthesis, 50S ribosomal subunit, macrolide
Toxic anion, PO4 analog
Membrane, detergent, cationic, fungicide
Sinorhizobium meliloti AK21 was isolated from a highly polluted and salinized, dry soil in the northern Aral Sea Region. We compared the genomes of S. meliloti AK21 and the sequenced strain S. meliloti 1021, and analysed differential gene expression and carried out phenotypic characterization. We found that 364 out of 365 differing genes of S. meliloti 1021 were missing from S. meliloti AK21, and that these genes were mainly clustered in 11 regions of variable length, generally flanked by mobile elements and also by conserved sequences with a complex secondary structure. Genetic variations were most frequently found to genes located on the megaplasmid pSymA of Rm1021, followed by the chromosome and pSymB. We also detected a set of genes in S. meliloti AK21 that were polymorphic or orthologous to genes in other rhizobia, and divergent sequences that were present in more phylogenetically distant bacteria. The gene expression profile revealed differences in regulation between free-living S. meliloti AK21 and Rm1021, with a greater number of genes up-regulated than down-regulated relative to Rm1021. Finally, S. meliloti AK21 grew in various limiting conditions, although the genes involved in these new capabilities have yet to be determined.
Rhizobial genomes are usually partitioned in several replicons, the number of which depends on the species; though additional, small replicons could be present in different isolates. The chromosome and the pSymB chromid display almost perfect correlation for the presence of genes, with only a few inserted, deleted or rearranged regions (Galardini et al. 2011). However, the symbiotic megaplasmid pSymA, and the accessory plasmids described in rhizobia, have a higher frequency of genomic rearrangements, making them dynamic structures prone to genome evolution and adaptation (Mavingui et al. 2002; Giuntini et al. 2005; Stiens et al. 2006; Galardini et al. 2011, 2013b; Bailly et al. 2011). Our comparative genomic hybridization and suppressive subtraction hybridization data support these previous findings, because the longest regions lost and the highest proportion of polymorphic and orthologous genes mapped to pSymA of Rm1021. The proportion of variable genes in the whole genome of S. meliloti AK21 was about 5.8%, similar to the results reported for previous studies of other S. meliloti strains (Giuntini et al. 2005; Stiens et al. 2008). However, most of this variability (3.6%) was associated with pSymA, followed by the chromosome (1.7%) and pSymB (0.5%). An in silico analysis comparing our CGH results and the whole-genome data for a collection of recently sequenced S. meliloti strains revealed that most of the gene clusters missing from the genome had also been lost from these other strains, suggesting that these regions were potentially acquired by Rm1021, rather than lost from S. meliloti AK21 (see Additional file 5). We found that almost 20% of the pSymA genes were missing from S. meliloti AK21 or differed substantially from those found in Rm1021. In addition, insertion sequences and transposons have frequently been found on pSymA-type plasmids (Barloy-Hubler et al. 2000; Barnett et al. 2001; Galibert et al. 2001; Schneiker-Bekel et al. 2011). Thus, these plasmids would be expected to display higher rates of rearrangement, due to the activity of these mobile elements. Indeed, the rhizobial symbiotic clusters, generally linked to pSymA, is generally thought to have been acquired by horizontal transfer between different species, and even genera, because nif-nod regions are surrounded by transposases and repeated sequences (Sullivan and Ronson 1998; Mavingui et al. 2002; Young et al. 2006; Crossman et al. 2008; Galardini et al. 2011; Bailly et al. 2011; Epstein et al. 2012). Most transposase-encoding genes are found in regions carrying traces of genomic rearrangements (Galardini et al. 2011). The core genome is generally considered to define bacterial phylogeny, whereas the accessory genes shed light on biological aspects of the symbiosis (Young et al. 2006; Galardini et al. 2011, 2013b; Bailly et al. 2011; Epstein et al. 2012; Tian et al. 2012; Sugawara et al. 2013). Our results are consistent with this hypothesis, because the divergent sequences obtained by SSH mostly matched with S. meliloti, mainly with S. meliloti AK83, which was isolated from the same ecological niche as S. meliloti AK21.
The major differences in gene expression between Rm1021 and S. meliloti AK21 concerned membrane components. Flagellum genes were much less strongly expressed in S. meliloti AK21 than in Rm1021. In addition, previous studies on S. meliloti 1021 reported the down-regulation of a number of genes involved in chemotaxis and cell motility after an osmotic upshift or during osmoadaptation (Rüberg et al. 2003; Domínguez-Ferreras et al. 2006). Flagella are usually linked to cell motility, unless flagellum-independent bacterial movement has also been described (Nogales et al. 2012), and the correct regulation of flagellum movement is essential for legume nodulation (Soto et al. 2002). In S. meliloti, surface motility is regulated by ExpR, in conjunction with the Sin-AHLs quorum-sensing system, in different manners, depending on cell density (Hoang et al. 2008; Nogales et al. 2012). At high population densities, both regulatory systems inhibit the flagellar regulon through the visNR transcriptional regulator. S. meliloti AK21 is an ExpR-proficient bacterium producing large amounts of capsular polysaccharide, whereas Rm1021 is a nonmucoid strain in which an insertion sequence interrupts the coding sequence of expR (Pellock et al. 2002). We obtained indirect evidence for the production of flagella in S. meliloti AK21, which displayed swimming motility, which is strictly dependent on flagella (data not shown). Consistent with this finding, S. meliloti AK21 does not probably swarm in semisolid agar plates, instead moving over the surface by sliding (data not shown). Rhizobactin 1021 is a siderophore that is thought to be required for surface mobility in Rm1021 (Nogales et al. 2010, 2012). According to our CGH data, S. meliloti AK21 seems to lack the rhizobactin biosynthesis operon, suggesting that this sliding motility is probably rhizobactin-independent. However, more detailed studies of flagellum production and surface motility are required to obtain insight into these two processes in S. meliloti AK21. Furthermore, the determination of S. meliloti genome expression profiles led to the identification of a set of ExpR-controlled genes involved in other important cellular processes, such as nitrogen fixation, metabolism and metal transport (Hoang et al. 2004). As we compared an ExpR-deficient strain (Rm1021) and S. meliloti AK21, a strain that can potentially produce this regulatory protein, it is not surprising that a detailed analysis of our data revealed several genes previously reported to belong to the ExpR/Sin operon. Similarly, we also identified several genes related to the PhoB regulatory network, which was found to be downregulated in the S. meliloti AK21 transcriptomic dataset (19 of 102 differentially expressed genes). PhoRB is a two-component regulatory system involved in diverse cellular processes, such as exopolysaccharide biosynthesis, de novo NAD biosynthesis, biofilm formation and secondary metabolite production, but its most frequently studied functions in S. meliloti relate mostly to phosphate metabolism and starvation (Krol and Becker 2004; Yuan et al. 2006). However, these authors reported differential regulation of this two-component system in Rm1021 and Rm2011, and concluded that Rm1021 displayed moderate levels of PhoB activation, even in the presence of sufficient phosphate, due to a deletion in the pstC gene from Rm1021. Therefore it is possible that much of the differential expression observed between S. meliloti AK21 and Rm1021 is due to PhoB-dependent regulation. In summary, since there seems to be an ExpR and PhoB differential regulation between Rm1021 and S. meliloti AK21, we have to be cautious to interpret the microarrays expression data.
Finally, FixQ1 and FixQ2 were found to be induced in S. meliloti AK21 grown in standard conditions, that is to say rich medium and aerobiosis. The fixNOQP genes encode the membrane complex cytochrome cbb3 oxidase, a final electron acceptor in the respiratory chain, which has a high affinity for O2 under the low oxygen concentrations found in most rhizobia (i.e. in symbiosis with plants) (Becker et al. 2004; Torres et al. 2013). FixQ seems to be a structural element that stabilizes the interaction of CcoP with the CcoNO core complex (Peters et al. 2008). The FixLJ/FixK regulatory proteins control the expression of S. meliloti genes required for nitrogen fixation and for microaerobic respiration within nodules, including the fixNOQP1 and two operons strongly induced under low-oxygen conditions in free-living bacteria and in bacteroids, respectively (Bobik et al. 2006). The fixN1, fixN2, fixI and fixP genes were also identified as induced, but to a much lesser extent than fixQ. We observed a slight repression of fixJ, fixK1 and fixK2, whereas other genes from the FixLJ/FixK regulon were found to be differentially regulated (induced or repressed, depending on the gene). These data suggest that fixNOQP could be constitutively expressed in S. meliloti AK21 and could be related to the stress response, whereas in Rm1021 is under the tight control of FixLJ/FixK. The induction of cytochrome cbb3 may increase the ATP content of the bacterium in preparation for the establishment of symbiosis, considering the key role of fixNOQP1 in early stages of association with plants (Torres et al. 2013). This protein complex may therefore play a role in the adaptation of S. meliloti for nodulation in saline conditions. These results suggest an alternative pathway for the activation of the fix genes in response to the presence of salt and/or other chemical compounds in the environment.
In terms of phenotypic adaptations, we observed that S. meliloti AK21 is able to efficiently support growing in a wide variety of S, N and P sources as well as in contaminated environments. Similar studies carried out with bacteria isolated from the same region, S. meliloti AK83 or AK58, revealed that these natural isolates, mainly AK58, are able to proliferate in different C and N sources and in a plethora of antibiotics and other chemicals (Biondi et al. 2009; Galardini et al. 2014). However, these phenotypes are not shared with S. meliloti AK21. It is likely that each organism could acquire particular abilities for surviving in hostile environments. Conversely, Rm1021 has been grown in laboratory conditions for a long period and does not require these metabolic adaptations.
ARDRA analysis and 16S rRNA gene sequencing classified AK21 as S. meliloti. Eckhardt lysis analysis of plasmid content revealed the presence of three major replicons, probably corresponding to the chromosome, pSymA and pSymB, and a cryptic plasmid of about 120 kb in size (Ibragimova et al. 2006; M. Bazzicalupo personal communication). Our SSH data are consistent with this experimental evidence, because we found proteins involved in plasmid replication/partitioning from the repABC family to be exclusive to S. meliloti AK21. Moreover, we identified several genes usually carried by accessory plasmids, including a putative mobilization module TraG/Vir (pSmeSM11a) and a monophenol monooxygenase gene (pRmeGR4b). These accessory plasmids carry genes that could confer an adaptive advantage on the host bacterium and they are widespread and interchangeable between natural rhizobial populations (more than 50% of rhizobia harbor at least one cryptic plasmid; Mercado-Blanco and Toro 1996; Stiens et al. 2006; Galardini et al. 2013b). Thus, the rhizobitoxine biosynthesis operon identified in S. meliloti AK21 may be present on the accessory plasmid. This phytotoxin was first described in Bradyrhizobium species as being associated with leaf chlorosis in susceptible host plants (Ruan and Peters 1992; Ruan et al. 1993). It is also produced by other pathogenic microorganisms, such as Pseudomonas and Agrobacterium, and has recently been found in a group of S. medicae isolates (Bailly et al. 2011). Rhizobitoxine interferes with ethylene synthesis in plant tissues, by inhibiting the ACC synthase (Yuhashi et al. 2000; Sugawara et al. 2006). Likewise, the acdS gene has been shown to be present on pSmeSM11a, one of the accessory plasmids of S. meliloti SM11 (Stiens et al. 2006). It encodes an ACC deaminase that metabolizes the precursor of the phytohormone ethylene, thereby enhancing nodulation (Ma et al. 2004). Similar strategies for the improvement of nodulation, through the inhibition of ethylene biosynthesis, could thus be mediated by accessory genes, conferring fitness advantages for the symbiotic interaction. The presence of these genes on transmissible plasmids would facilitate spread within the population of bacteria in the soil.
Rhizobiaceae is a family of bacteria of enormous agricultural importance, due to their ability to fix atmospheric nitrogen in symbiosis with leguminous plants (Jones et al. 2007). They occur naturally in most agricultural soils, but fluctuations in environmental conditions, such as temperature, osmolarity, pH or nutrient availability, severely affect their symbiotic capacity (Zahran 1999; Rüberg et al. 2003). For this reason, studies of the mechanisms by which indigenous populations of rhizobia adapt to unbalanced environments are required. S. meliloti AK21 was isolated from highly degraded and saline soils in the Aral Sea Region, in which it efficiently nodulates M. sativa. In this study, we demonstrated the existence of genetic, transcriptomic and phenotypic differences between this wild strain and the laboratory reference strain, S. meliloti 1021. The chromosome of S. meliloti AK21 had lost six regions, but only minor differences in gene expression were observed. Similarly, the symbiotic plasmid pSymA lacked four regions, and three of these deletions were extensive. However, the largest differences in gene expression were found for this replicon. Conversely, the chromid pSymB lacked only one short region. A significant number of these deleted gene clusters were flanked by transposable and repeated elements that could potentially be involved in homologous recombination. We also identified several sequences that were absent from S. meliloti 1021 but present in other rhizobia, and sequences present exclusively in S. meliloti AK21. These groups of divergent and orphan contigs may account for the phenotypic advantages of the wild isolate over the reference strain. Moreover, we detected several proteins involved in plasmid conjugation and segregation, and several genes also reported to be present on accessory plasmids in other S. meliloti strains. Then, we obtained genetic evidence for the presence of an accessory plasmid in S. meliloti AK21. Finally, we discovered a large set of genes differentially expressed between S. meliloti AK21 and Rm1021. Membrane components predominated over all other cellular functions, but we detected two proteins related to nitrogen fixation, FixQ1 and FixQ2. These proteins form part of the cbb3 electron transport system and may be involved in enhancing the nodulation behaviour of rhizobia in saline conditions.
Bacterial strains and culture conditions
Sinorhizobium meliloti 1021 (Rm1021) forms nitrogen-fixing nodules in Medicago hosts. This streptomycin-resistant derivative of S. meliloti SU47 has been grown under laboratory conditions for 38 years (Meade and Signer 1977). Rm1021 was the first S. meliloti strain to be sequenced and is therefore considered to be the reference strain for this species. S. meliloti AK21 was isolated from nodules of Medicago sativa L. subsp. ambigua (formerly named M. trautvetteri) growing in Kazakhstan, in the northern Aral Sea Region (State Research Center of the Russian Federation Collection in St. Petersburg; Ibragimova et al. 2006). Rhizobia were cultured at 28°C in rich TY broth (5 g/l tryptone, 3 g/l yeast extract, 0.9 g/l CaCl2), with constant shaking at 180 rpm.
Isolation of S. meliloti genomic DNA
DNA was extracted with the RealPure genomic DNA extraction Kit (Durviz, S.L.U., Valencia, Spain), according to a modified version of the procedure recommended by the manufacturer. Briefly, pelleted cells were washed with 0.1% l-laurylsarcosine in TE buffer, pH 8. The cells were lysed by incubation for 5 min at 80°C and then subjected to RNAse treatment at 37°C for 60 min. RNA and proteins were removed, and the DNA was precipitated with 2-propanol. Purified DNA was quantified spectrophotometrically (Nanodrop, PeqLab, Erlangen, Germany). Highly pure genomic DNA (A260/A280 ratio of 1.8–2.0) was obtained at a final concentration of about 1.2–1.4 μg/μl.
Total RNA extraction from S. meliloti
High-quality total RNA was isolated with the RNeasy Mini Kit (Qiagen, Barcelona, Spain), according to a modified version of the manufacturer’s protocol. We harvested six OD600 units of bacterial cultures in the exponential growth phase by rapid centrifugation and froze them in liquid nitrogen. The samples were then thawed on ice, and the cells were resuspended in 100 μl of freshly prepared lysozyme solution (0.4 mg/ml) and the samples were incubated at room temperature for 5 min. The bacteria were then disrupted by adding 350 μl of RLT buffer and shaking vigorously, and the disrupted cells were then centrifuged for 2 min. The cleared lysates were mixed with 250 μl of 100% ethanol, transferred to the supplied spin columns and centrifuged. The columns were then washed according to the manufacturer’s instructions and the RNA was eluted in 120 μl of water. All trace DNA contamination was removed by DNA digestion with 30 units of RNAse-free DNAse I (Qiagen, Barcelona, Spain) at 28°C for 90 min. We then added 490 μl of RLT buffer and 350 μl of 100% ethanol to the samples and the mixture was layered onto a new column. The RNA was eluted in 50 μl MilliQ water, and further purified and concentrated on Microcon 30 columns (Millipore Iberica S.A.U., Madrid, Spain). RNA concentration was measured with a Nanodrop spectrophotometer and RNA quality was checked by gel electrophoresis.
Comparative genome hybridization and data analysis
For genomic comparisons, we used whole-genome Sm14kOligo microarrays supplied by the Center for Biotechnology, University of Bielefeld, Germany. These microarrays carry 50-mer to 70-mer oligonucleotide probes directed against coding regions and intergenic regions (see http://www.cebitec.uni-bielefeld.de/transcriptomics/transcriptomics-facility/sm14koli.html for further details). Competitive hybridization was carried out twice for each restriction enzyme and strain, with dye swapping between the test and reference strains. Total DNA was labeled with the Bioprime Total Genomics Labeling System (Invitrogen, Madrid, Spain), as previously described by Giuntini et al. (2005). In brief, we labeled 10 µg of RsaI- or TaqAI-digested genomic DNA with dCTP coupled to Alexa Fluor 3 or Alexa Fluor 5 in a 50 μl reaction mixture containing random primers and the Klenow fragment of DNA polymerase I, by incubation at 37°C for 2 h. The unincorporated fluorescent nucleotides were removed and the samples were combined as appropriate and mixed with 30 μl Cot-1 DNA (1 mg/ml), 17 μl yeast t-RNA (6 mg/ml) and 450 μl TE buffer. Microcon 30 filter columns (Millipore Iberica S.A.U., Madrid, Spain) were used to concentrate the probes down to a final volume of about 35 μl. Each combined sample was mixed with 8.5 μl of 20× SSC and 0.74 μl of 10 SDS and denatured by heating at 100°C for 1.5 min. The sample was then incubated at 37°C for 30 min and the hybridization probe was added to the pretreated microarray under a coverslip. Hybridization was performed at 65°C for 16 h, within a chamber in a water bath. The coverslip was removed by vigorous shaking in 2× SSC/0.2% SDS at 65°C for 30 s and slides were washed successively with: 2× SSC/0.2% SDS at 65°C for 5 min, 0.2× SSC/0.1% SDS at 65°C for 2 min and then twice with 0.2× SSC at room temperature, for 2 min each. The slides were immediately dried by centrifugation and the data were acquired on a GenePix 4000A scanner (Axon Instruments). Mean signal intensities for each spot were quantified with GenePix Pro 5.1 (Axon Instruments, Union City, CA, USA).
Raw data were normalized with MADE-4-2C (Fernandez-Pozo 2012), applying the LOESS scaled algorithm. Further statistical analysis of the normalized data using the same software allowed determining the differential presence of genes. A gene was considered to display a significant difference in hybridization if the intensity of the spot was outside the values included in the 95% confidence interval (t test, p value <0.05, corrected for multiple testing) and the absolute value for the log2-ratio of intensities was higher than 2. We obtained signal for 13,618 spots of the total 29,952 (total number of features). A positive log2-fold-change means that hybridization intensity was greater for S. meliloti AK21 than for Rm1021, indicating gene duplication. A negative log2-ratio of intensities indicated higher signal intensity for Rm1021, consistent with the corresponding gene being highly divergent in or missing from the S. meliloti AK21 genome.
Microarray hybridization and statistical analysis of the data
We analysed the expression of the genes common to Rm1021 and S. meliloti AK21 by competitive cDNA hybridization on Sm14kOligo microarrays. The procedure was basically as previously described (Rüberg et al. 2003). In brief, 15 μg of total RNA was reverse-transcribed with 15 μg of random hexamer oligonucleotides, 400 U SuperScript II reverse transcriptase (Invitrogen, Madrid, Spain) and a 100 mM dNTP + aa-dUTP mixture (dNTPs: Roche Diagnostics, Barcelona, Spain; aa-dUTP: Sigma-Aldrich Quimica SL, Madrid, Spain) at 42°C for 2 h. After alkaline hydrolysis of the RNA, amino-allyl modified first strand cDNAs was cleaned using CyScribe GFX Purification Kit (GE Healthcare, Seville, Spain) and coupled with Cy3- and/or Cy5-NHS ester dyes (GE Healthcare, Seville, Spain) by incubation at room temperature for 2–3 h. The cDNA generated from Rm1021 RNA was labeled with Cy5 fluorescent dye, whereas the test cDNA from S. meliloti AK21 was coupled with the Cy3 fluorophore. Samples with different labels were mixed and the uncoupled dyes were removed with the CyScribe GFX Purification Kit (GE Healthcare, Seville, Spain). The dried probe was diluted in 45 μl DIG Easy Hyb solution (Roche Diagnostics, Barcelona, Spain) supplemented with 5 μg salmon sperm DNA. The denatured probe solution was poured onto the microarrays after the prehybridization step. Then, the microarrays were covered with cover slips and incubated in a hybridization chamber in a water bath at 42°C for at least 16 h. Microarrays were then washed at room temperature, as described above.
Data acquisition and processing are described in the section dealing with CGH. We analyse three biological and two technical replicates, swapping the dyes between the test and reference strains. Differentially expressed genes were identified on the basis of the following criteria: p value <0.05 (t statistics) and log2-ratio of intensities ≥1 or ≤−1. A positive value corresponds to genes more strongly expressed in S. meliloti AK21 than in Rm1021. Conversely, a negative ratio indicates that the corresponding genes are repressed or less expressed in S. meliloti AK21.
Suppression subtractive hybridization and data processing
The PCR-Select Bacterial Genome Subtraction kit (Clontech, Madrid, Spain) was adapted for the detection of genes present in S. meliloti AK21, as the tester strain, but not in the driver strain S. meliloti 1021. We digested 2 µg each of the driver and tester genomic DNAs separately with RsaI, to obtain short, blunt-ended fragments. The enzyme was removed and the digested tester DNA sample was split into two batches, each of which was ligated with a different, partially complementary adaptor supplied by the manufacturer, in the kit. These adaptors could bind to only one of the ends of the DNA fragments. Two successive hybridizations were then carried out to enrich the sample in tester-specific molecules absent from the reference genome. The adaptor-bound tester DNA and the RsaI-digested driver DNA were denatured by heating at 98°C for 2 min, mixed in a 1:50 (tester/driver) ratio and renatured by heating at 64°C for 90 min. In a second hybridization step, the two previously annealed mixtures were combined and mixed with 300 ng of new freshly denatured driver genomic DNA. The reaction mixture was incubated at 64°C for 16 h. Two successive nested PCRs increased the enrichment of the sample in molecules flanked by a different adaptor. The second PCR products were sent for DNA pyrosequencing by 454 FLX method (Roche) at LifeSequencing SL (Valencia, Spain).
SeqTrim software was used to clean sequences and to remove adaptor sequences and PCR artifacts (Falgueras et al. 2010). The resulting sequences were assembled into contigs by CAP3 (Huang and Madan 1999). Two sequences were considered to constitute a single contig when they overlapped by at least 20 nt and overall identity exceeded 95%. Finally, BLAST + 2.2.25 (Blastn and Blastx) was used for sequence comparison and identification (Camacho et al. 2009). Blast2GO was used for the annotation of highly divergent sequences (Conesa et al. 2005) and orthologs were identified by the BBH method (Altenhoff and Dessimoz 2009). These sequences were uploaded as a library into the GSS database [LIBGSS: 038882].
Phenotypic microarray analysis
Sinorhizobium meliloti AK21 and Rm1021 were assayed on phenotypic microplates (BiOLOG, Hayward, CA, USA) testing hundreds of different conditions. Runs were performed for the first twenty 96-well microplates available. Bacterial growth was measured in the presence of different C, P, N and S sources, fungicides and xenobiotic compounds, together with antibiotic resistance. Survival was also analysed in the presence of osmolytes and at different pH values (http://www.biolog.com/products-static/phenotype_microbial_cells_use.php). All the procedures were carried out by the manufacturer (BiOLOG, Hayward, CA, USA). S. meliloti cells were used to inoculate the wells of the array, which was then incubated at 30°C for 72 h in an OmniLog® reader. The metabolic activities of each strain were evaluated in duplicates. Cell respiration rates were monitored colorimetrically over time and are presented as time-course graphs (Bochner et al. 2001). Pairwise comparisons were performed such that Rm1021 is shown in red and S. meliloti AK21 in green, with the overlapping areas shown in yellow. The OmniLog® V. 1.5 Comparison Module provided a report consisting of a reproducibility test, the time-course plots and a list of compounds differentiating the metabolism of the test strain, S. meliloti AK21, from that of the reference strain, Rm1021. The reproducibility report indicated the number of wells for which the difference in the average height (area under the curve divided by the number of measurements) between duplicate runs was less than the threshold value (usually 12 wells).
MDMS carried out the microarray hybridizations and data analysis, participated in the conception and design of the experiments and drafted the manuscript. JALC performed the suppressive subtractive hybridization and bioinformatics analyses, and participated in the conception and design of the study. MFL and NT were responsible for the conception and funding of the study, participated in its design and coordination, and finished the writing of the manuscript. All authors read and approved the final manuscript.
We are grateful to Marco Bazzicalupo for providing the Aral Sea strain used for this study. We also thank Anke Becker’s team for useful advice for the microarray experiments and M.J. Soto’s team for guidance in mobility assays. The authors also thankfully acknowledge to Gonzalo Claros and the computer resources and technical support provided by the Plataforma Andaluza de Bioinformática of the University of Málaga. Finally, we acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI). This work was funded by the following grants: PIE 200740i005 from the Spanish CSIC, AGR 252 from Consejería de Innovación, Ciencia y Empresa of Junta de Andalucía, AGL2006-12466/AGR from Comisión Interministerial de Ciencia y Tecnología, and CSD 2009-0006 of the Consolider-Ingenio 2010 program from the Ministerio de Ciencia e Innovación including ERDF (European Regional Development Funds). JALC was awarded a predoctoral fellowship from the JAE-predoctoral program, CSIC.
Compliance with ethical guidelines
Competing interests The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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