ORIGINAL RESEARCH article

Front. Microbiol., 19 February 2016

Sec. Microbiotechnology

Volume 7 - 2016 | https://doi.org/10.3389/fmicb.2016.00193

RNA-seq Profiling Reveals Novel Target Genes of LexA in the Cyanobacterium Synechocystis sp. PCC 6803

  • 1. Department of Biochemistry and Molecular Biology, Graduate School of Science and Engineering, Saitama University Saitama, Japan

  • 2. Biological Science Laboratories, KAO Corporation Wakayama, Japan

  • 3. Core Research of Evolutional Science and Technology, Japan Science and Technology Agency Saitama, Japan

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Abstract

LexA is a well-established transcriptional repressor of SOS genes induced by DNA damage in Escherichia coli and other bacterial species. However, LexA in the cyanobacterium Synechocystis sp. PCC 6803 has been suggested not to be involved in SOS response. In this study, we performed RNA-seq analysis of the wild-type strain and the lexA-disrupted mutant to obtain the comprehensive view of LexA-regulated genes in Synechocystis. Disruption of lexA positively or negatively affected expression of genes related to various cellular functions such as phototactic motility, accumulation of the major compatible solute glucosylglycerol and subunits of bidirectional hydrogenase, photosystem I, and phycobilisome complexes. We also observed increase in the expression level of genes related to iron and manganese uptake in the mutant at the later stage of cultivation. However, none of the genes related to DNA metabolism were affected by disruption of lexA. DNA gel mobility shift assay using the recombinant LexA protein suggested that LexA binds to the upstream region of pilA7, pilA9, ggpS, and slr1670 to directly regulate their expression, but changes in the expression level of photosystem I genes by disruption of lexA is likely a secondary effect.

Introduction

The LexA protein in Escherichia coli has been well-characterized as the key regulator of the SOS response induced by DNA damage (Butala et al., 2009). Under non-stress conditions, LexA binds to the promoter regions of more than 40 genes involved in the SOS response and represses their expression. When DNA is damaged, LexA undergoes autoproteolytic cleavage upon association with RecA protein activated through binding of single-stranded DNA fragments. As a consequence of auto-cleavage of the Ala84-Gly85 peptide bond carried out by Ser119 and Lys156, LexA loses DNA binding activity, thereby inducing the SOS response.

Genes encoding LexA homologs are highly conserved in bacterial genomes and LexA-dependent transcriptional regulation of genes involved in DNA repair has been reported in various bacterial species (Erill et al., 2007; Butala et al., 2009), indicating that the regulation of SOS regulon by LexA might be a universal adaptation strategy of bacteria to DNA damage. However, LexA homologs in several cyanobacterial species were suggested not to be involved in the typical E. coli-type SOS regulation. In Anabaena sp. PCC 7120, auto-cleavage of the Ala84-Gly85 bond of LexA does not occur at physiological pH even in the presence of activated RecA (Kumar et al., 2015). In the case of Synechocystis sp. PCC 6803 (S.6803), LexA lacks the conserved Ala-Gly auto-cleavage site and the serine of the Ser-Lys dyad required for auto-cleavage activity (Patterson-Fortin et al., 2006) and auto-cleavage of LexA in S.6803 has not been reported so far. DNA microarray analysis revealed that LexA depletion did not affect the expression level of genes involved in DNA metabolism (Domain et al., 2004).

The cellular processes regulated by LexA in S.6803 have been implied by studies reporting isolation of LexA as a binding factor to the promoter region of specific genes, such as the hoxEFUYH operon encoding bidirectional hydrogenase (Gutekunst et al., 2005; Oliveira and Lindblad, 2005), crhR encoding RNA helicase (Patterson-Fortin et al., 2006), and sbtA encoding sodium-dependent bicarbonate transporter (Lieman-Hurwitz et al., 2009). Domain et al. (2004) performed DNA microarray analysis of the LexA-depleted strain and found that most of genes affected were previously reported to be regulated by the availability of inorganic carbon (Wang et al., 2004). Kamei et al. (2001) reported that the lexA-disrupted mutant of the motile strain of S.6803 (denoted PCC strain) showed non-motile phenotype. DNA microarray analysis revealed that expression of the pilA genes encoding the subunits of the type IV pilus-like structure was lowered in the mutant. Although regulation of various cellular processes has been suggested, we currently have still a fragmentary understanding of the function of LexA in S.6803.

DNA microarray analysis has been the most popular methods of genome-wide transcriptome profiling. However, it has been supplanted by RNA-seq analysis in which isolated transcripts are converted into the complementary DNA (cDNA) followed by direct sequence in a massively parallel DNA sequencing-based approach. The advantages of RNA-seq over DNA microarray are its higher resolution and better dynamic range of detecting differential gene expression (Zhao et al., 2014). In order to obtain the comprehensive view of LexA-regulated genes in S.6803, here we performed RNA-seq analysis of the wild-type (WT) strain and the lexA-disrupted mutant. The results of RNA-seq analysis indicate that LexA in S.6803 regulates specific cellular functions such as phototactic motility, accumulation of the major compatible solute glucosylglycerol and subunits of bidirectional hydrogenase, and photosynthetic complexes, but not the SOS response. DNA gel mobility shift assay using the recombinant LexA protein suggested that LexA binds to the upstream region of pilA7, pilA9, ggpS, and slr1670 to directly regulate their expression.

Materials and methods

Strains and culture conditions

A glucose-tolerant non-motile strain (GT strain) of Synechocystis sp. PCC 6803 was grown at 32°C in BG-11 medium containing 20 mM HEPES-NaOH, pH 7.0, under continuous illumination at 20 μmol photons m−2 s−1 with bubbling of air. The lexA (sll1626)-disrupted mutant (ΔlexA) was grown under the same conditions, except that 20 μg mL−1 kanamycin (Km) was added to the medium. Cell density was estimated by measuring OD730 using a spectrophotometer (model UV-160A, Shimadzu).

Generation of the lexA (sll1626)-disrupted mutant

The coding region of lexA (612 bp, from nucleotide 1319330 to 1318719 according to numbering in CyanoBase) was disrupted by insertion of a kanamycin resistance (Kmr) cassette. The upstream and downstream fragments including the lexA coding sequence were amplified by PCR from the genomic DNA of the WT strain using the primer sets lexA-F and Km-lexA-R (for amplification of 404 bp upstream fragment, from nucleotide 1319525 to 1319122) and Km-lexA-F and lexA-R (for amplification of 394 bp downstream fragment, from nucleotide 1318996 to 1318603; Table S1). Kmr cassette was PCR amplified from the pRL161 plasmid using the primer set Km-F and Km-R (Table S1). The amplified lexA fragments and Kmr cassette were fused together by the fusion PCR method (Wang et al., 2002) using the primer set lexA-F and lexA-R. The WT strain was transformed with the fusion PCR product and transformants (ΔlexA mutant) were selected in the presence of Km.

RNA gel blot analysis

Isolation of total RNA by the hot phenol method and RNA gel blot analyses, using DIG RNA Labeling and Detection Kit (Roche), were performed as described previously (Muramatsu and Hihara, 2003). Template DNA fragments for in vitro transcription to generate RNA probes were prepared by PCR using the primers shown in Table S1.

Immunoblot analysis

Total proteins were extracted from Synechocystis cells as described previously (Ishii and Hihara, 2008) and separated by 15% (w/v) SDS-PAGE, followed by electroblotting onto PVDF membranes (Immobilon-P; Millipore). Immunodetection was done using a rabbit polyclonal antibody raised against His-LexA recombinant protein. Goat anti-rabbit IgG conjugated to alkaline phosphatase was used as a secondary antibody.

Determination of pigment contents

In vivo absorption spectra of whole cells suspended in BG-11 medium were measured at room temperature using a spectrophotometer (V-650 Spectrometer, JASCO) with ISV-722 integrating sphare. Chlorophyll and phycocyanin contents were calculated from the peak heights of absorption spectra using the equations described in Arnon et al. (1974).

RNA-seq analysis

RNA-seq analysis was carried out using cultures at OD730 = 0.5 and OD730 = 1.0 with three biological replicates. WT and ΔlexA were inoculated into new media at OD730 = 0.1 and incubated for 50 and 80 h, respectively, to be harvested at OD730 = 0.5. Similarly, WT and ΔlexA were inoculated at OD730 = 0.1 and incubated for 70 and 120 h, respectively, to be harvested at OD730 = 1.0. Isolation of total RNA by the hot phenol method was performed as described previously (Muramatsu and Hihara, 2003). To eliminate genomic DNA from total RNA samples, each sample was added with DNase I (TaKaRa) and incubated at 37°C for 3 h. Total RNA concentration was measured with Nanodrop 2000 (Thermo Fisher Scientific). The Ribo-Zero Magnetic Kit for Bacteria (Epicentre) was used to remove ribosomal RNA from each sample. Concentration and quality of mRNA samples were examined using an Agilent 2100 Bioanalyzer. TruSeq RNA Sample Prep Kit v2 (Illumina) was used for cDNA library construction, and the libraries were sequenced using the Illumina MiSeq system. 12 samples in total were analyzed using two cartridge of MiSeq Reagent Kit v3 (Illumina).

A total of 64 million reads data was obtained from 12 samples. To quantify expression level of each gene, nucleotide sequences of obtained reads were mapped to the genomic sequence of GT-I strain of S.6803 (Kanesaki et al., 2012) (NC_017038.1; http://www.ncbi.nlm.nih.gov/nuccore/NC_017038) using CLC Genomics Workbench 7.5.1 software (Qiagen). Raw read counts were divided by length of the transcripts and total number of million mapped reads in each sample to obtain reads per kilobase per million (RPKM) values (Mortazavi et al., 2008). TCC package of R software (Sun et al., 2013) was used to detect the differentially expressed genes between WT and ΔlexA. A false discovery rate of <0.01 was considered to be significant.

Overexpression and purification of his-lexA

The coding region of the lexA gene was amplified by PCR using the primers lexA-NdeI-F and lexA-XhoI-R (Table S1), containing NdeI and XhoI sites at their 5′ end, respectively. The amplified lexA coding fragment was cloned into the pT7Blue T-vector (Novagen), digested with NdeI and XhoI and subcloned into the same restriction sites in pET28a vector (Novagen) to express the LexA protein with an N-terminal 6 × His-tag.

E. coli BL21(DE3) harboring the His-LexA expression construct was grown to an OD600 = 0.6 in 250 mL of 2 × yeast extract-tryptone (YT) medium containing 20 μg mL−1 Km at 37°C and induced with 0.013% of isopropyl β-D-thiogalactoside for 3 h. The cells were pelleted by centrifugation at 5800 g for 2 min, resuspended in 50 mM sodium phosphate buffer, pH 7.4, containing 0.5 M NaCl and 60 mM imidazole, and disrupted by three rounds of sonication with Sonifier 450 (Branson) for 2 min with interval of 1 min on ice. After the removal of whole cells and insoluble material by centrifugation, the soluble protein fraction was filtered through a 0.2 μm filter (DISMIC-25CS; ADVANTEC). His-LexA was purified by nickel-affinity column chromatography using a HisTrap FF crude (GE Healthcare). The soluble protein fraction was applied to the column equilibrated with 20 mM phosphate buffer, pH 7.4, containing 0.5 M NaCl and 60 mM imidazole, washed with 20 mM phosphate buffer, pH 7.4, containing 0.5 M NaCl and 80 mM imidazole, and eluted with 20 mM phosphate buffer, pH 7.4, containing 0.5 M NaCl and 300 mM imidazole. Purified His-LexA was desalted by a HiTrap Desalting column (GE Healthcare). Protein composition was examined by 15% (w/v) SDS-PAGE followed by staining with Coomassie Brilliant Blue R-250.

DNA gel mobility shift assay

Probes for DNA gel mobility shift assays were obtained by PCR amplification with primers shown in Table S1 using genomic DNA as a template. The 3′ end of the DNA fragment for each probe was labeled with digoxigenin (DIG)-ddUTP by using the terminal transferase method according to the manufacturer's instructions (DIG gel shift kit 2nd generation; Roche). Gel mobility shift assays were performed by using a DIG gel shift kit 2nd generation (Roche) according to the manufacturer's instruction except that 1 mM DTT was added to the reaction mixture.

Results

Characterization of the lexA (sll1626)-disrupted mutant

To reveal the function of LexA in GT strain of S.6803, we disrupted the lexA gene by inserting a Kmr cassette within the coding region (Figure 1A). Although a fully segregated mutant was not obtained (Figure 1B), RNA gel blot and immunoblot analyses revealed that both the lexA transcript (Figure 1C) and LexA protein (Figure 1D) levels were below the detection limit in the partially segregated mutant (ΔlexA) grown under normal growth conditions. Under the same conditions, ΔlexA displayed several abnormal phenotypes. The doubling time of ΔlexA was longer (31.4 h) than that of WT (19.5 h) at log phase, whereas the difference in growth rate between strains became smaller at stationary phase (Figure 1E). Amounts of chlorophyll and phycocyanin in ΔlexA calculated from the peak heights of cellular absorption spectra were 93 and 80% of WT levels, respectively (Figure 1F). Microscopic observation revealed that cell size of ΔlexA was heterogeneous and tended to be larger than that of WT (Figure 1G).

Figure 1

Figure 1

Generation and characterization of the ΔlexA mutant. (A) Scheme of the construct for disruption of lexA. The kanamycin resistance (Kmr) cartridge was inserted into the coding region. Arrows indicate the primers used for PCR amplification shown in (B). (B) PCR amplification of the lexA gene using genomic DNA from WT and the ΔlexA mutant as templates. (C) RNA gel blot analysis of the lexA transcripts detected by single-stranded RNA probe. 3 μg of total RNA were loaded per lane. Total RNA was stained with methylene blue to show the equal loading. (D) Immunoblot analysis of the LexA protein detected by anti-LexA antibody. 5 μg of total protein from cell lysate were loaded per lane. (E) Growth curves of WT (open circles) and the ΔlexA mutant (closed circles) under normal growth conditions. (F) Amounts of photosynthetic pigments calculated from the peak heights of cellular absorption spectra. (G) Observation of cell morphology by differential interference contrast microscopy.

RNA-seq transcriptome analysis

To investigate the difference in gene expression profile between WT and ΔlexA, total RNA was isolated from cultures incubated under normal growth conditions and RNA-seq analysis was performed. Figure 2 shows MA plots of the gene expression data obtained from cultures at OD730 = 0.5 and OD730 = 1.0. There were 1011 genes differentially expressed between strains at OD730 = 0.5 as shown in magenta (Figure 2A). Among them, expression levels of 315 genes were more than two-fold higher and those of 28 genes were more than two-fold lower in ΔlexA than in WT (Table S2). In the case of WT and ΔlexA cells at OD730 = 1.0, there were 447 genes differentially expressed between strains (Figure 2B). Among them, expression levels of 360 genes were more than two-fold higher and those of 21 genes were more than two-fold lower in ΔlexA than in WT (Table S3).

Figure 2

Figure 2

MA plots of RNA-seq data obtained from WT and ΔlexA cells at OD730 = 0.5 (A) and OD730 = 1.0 (B). The MA plot, a scatterplot of log2-fold-change (ΔlexA /WT) versus average expression in log2 scale for each gene, was produced using TCC package. Dots shown in magenta indicate differentially expressed genes with a false discovery rate <0.01.

Table 1 shows the list of genes whose expression was affected by disruption of lexA. The higher resolution and better dynamic range of RNA-seq analysis compared to DNA microarray analysis enabled listing of small ORFs such as ssl1577, ggpR (ssl3076), ssr1251, ssr1473 and ssr3589, and genes with low expression level (low RPKM value) that cannot be detected by previous DNA microarray analyses. Differentially expressed genes can be categorized into several groups according to related cellular functions as mentioned below.

Table 1

Gene No.Gene symbolDefinitionOD730 = 0.5OD730 = 1.0
Average RPKMRatioAverage RPKMRatio
WTΔlexAΔlexA/WTWTΔlexAΔlexA/WT
MOTILITY
sll1694pilA1Pilin polypeptide PilA17672.373764.790.499711.783875.350.40
sll1695pilA2Pilin polypeptide PilA2245.64161.170.66272.03149.860.55
slr1930pilA7Type 4 pilin-like protein110.721163.6210.51148.231231.288.31
slr1931pilA8Type 4 pilin-like protein193.591186.226.13226.511250.185.52
slr2015pilA9Type 4 pilin-like protein68.3016.960.2555.9619.500.35
slr2016pilA10Type 4 pilin-like protein38.8323.240.6037.4116.900.45
slr2017pilA11Type 4 pilin-like protein72.0631.470.4473.4335.820.49
slr2018Unknown protein84.7548.630.5797.4956.120.58
sll1291taxP2Two-component response regulator PatA subfamily185.0863.220.34203.5086.700.43
slr1667cccSHypothetical protein (target gene of sycrp1)25.6613.570.5345.8418.360.40
GLUCOSYLGLYCEROL METABOLISM
slr1670Unknown protein29.83309.8110.3924.85250.5110.08
slr1672glpKGlycerol kinase52.30299.465.7343.84227.475.19
slr1673spoUProbable tRNA/rRNA methyltransferase38.42179.604.6742.98144.323.36
ssl3076ggpRUnknown protein2.0316.398.070.000.87N.D
sll1566ggpSGlucosylglycerolphosphate synthase34.65497.4714.3627.78431.8515.54
sll1085glpDGlycerol-3-phosphate dehydrogenase32.37191.715.9236.05215.115.97
slr0529ggtBGlucosylglycerol transport system substrate-binding protein17.2879.094.5818.7676.804.09
slr0530ggtCGlucosylglycerol transport system permease protein21.55102.214.7423.3488.373.79
HYDROGENASE
sll1220hoxEDiaphorase subunit of the bidirectional hydrogenase100.2848.940.4962.8532.540.52
sll1221hoxFDiaphorase subunit of the bidirectional hydrogenase64.5831.770.4949.4731.900.64
sll1223hoxUDiaphorase subunit of the bidirectional hydrogenase96.6349.390.5168.1847.230.69
sll1224hoxYHydrogenase subunit of the bidirectional hydrogenase70.5935.930.5137.5728.590.76
ssl2420Unknown protein54.0825.390.4742.9324.510.57
slr1675hypA1Putative hydrogenase expression/formation protein HypA131.16266.718.5633.07195.505.91
PHOTOSYNTHESIS
slr0737psaDPhotosystem I subunit II9924.045201.830.526914.544585.060.66
slr1835psaBP700 apoprotein subunit Ib34540.9622842.730.6642976.6525014.560.58
smr0004psaIPhotosystem I subunit VIII3093.512356.630.76290.74157.920.54
ssl0563psaCPhotosystem I subunit VII10241.745794.740.575317.263374.820.63
ssr0390psaK1Photosystem I subunit X2883.401628.370.561635.891152.400.70
slr0012rbcSRubisco small subunit3477.081936.920.564542.253204.020.71
slr0011rbcXPossible Rubisco chaperonin3913.652224.260.575157.073785.520.73
sll0247isiAIron-stress chlorophyll-binding protein55.34124.362.2553.76761.1514.16
sll0248isiBFlavodoxin10.0935.323.505.91121.6220.59
sll1577cpcBPhycocyanin beta subunit62726.4435125.150.5654762.1427956.670.51
sll1578cpcAPhycocyanin alpha subunit79538.8542145.920.5369158.5035179.810.51
sll1579cpcC2Phycobilisome rod linker polypeptide13587.177921.460.5812570.336318.760.50
sll1580cpcC1Phycobilisome rod linker polypeptide14076.988090.370.5712675.976193.810.49
ssl3093cpcDPhycobilisome small rod linker polypeptide4048.582772.200.683023.791747.700.58
sll1471cpcG2Phycobilisome rod-core linker polypeptide847.25349.040.41638.78289.600.45
ssl2542hliAHigh light-inducible polypeptide HliA22.74133.525.8726.31167.076.35
ssr2595hliBHigh light-inducible polypeptide HliB71.98314.954.3840.31186.154.62
slr0506porLight-dependent NADPH-protochlorophyllide oxidoreductase247.75186.820.75318.96181.530.57
slr0749chlLLight-independent protochlorophyllide reductase iron protein subunit ChlL489.76109.670.2298.2841.690.42
slr0750chlNLight-independent protochlorophyllide reductase subunit ChlN149.9049.340.33240.6381.300.34
CHAPERONES
sll0430htpGHtpG, heat shock protein 90156.26589.813.77115.48607.005.26
sll0909dnaJDnaJ, heat shock protein 4024.21216.458.9422.63304.5613.46
sll1514hspA16.6 kDa small heat shock protein100.081082.8510.82121.591307.2910.75
REGULATORY FUNCTIONS
sll0094hik37Two-component sensor histidine kinase52.5633.120.6374.3739.500.53
sll0775Unknown protein29.04391.9313.5040.24339.898.45
sll0776spkDSerine/threonine kinase16.14248.5815.4027.99235.498.41
sll0777Putative carboxypeptidase24.39219.138.9835.22210.975.99
sll0778ABC transporter, ATP-binding protein14.1772.875.1417.6371.674.07
sll0790hik31Two-component sensor histidine kinase49.77256.965.1674.75321.594.30
sll0797nrsR, rppARedox-responsive and/or Ni(II)-responsive regulator, two-component response regulator OmpR subfamily12.597.000.566.8010.221.50
sll1003hik13Two-component sensor histidine kinase10.6545.774.3010.7050.354.71
sll1626lexALexA repressor1658.8010652.126.421451.289173.746.32
sll1924sycrp2cAMP receptor protein sycrp1 homolog23.4413.600.5811.1013.471.21
slr0895prqRTranscriptional regulator15.8567.224.2419.1562.393.26
slr1564sigFGroup 3 RNA polymerase sigma factor297.21217.210.73330.72209.540.63
slr1594patATwo-component response regulator PatA subfamily40.38195.884.8549.36265.065.37
slr1760rre8Two-component response regulator15.72104.056.6226.4188.063.33
slr2098hik21Two-component hybrid sensor and regulator26.67129.374.8538.41152.723.98
TRANSPORT AND BINDING PROTEINS
sll1404exbB3Biopolymer transport ExbB protein homolog84.83131.511.5516.17290.6917.98
sll1405exbD, sll1405Biopolymer transport ExbD protein homolog28.6259.222.0713.99118.688.48
sll1406fhuAFerrichrome-iron receptor29.1057.611.9825.09132.905.30
sll1598mntCMn transporter MntC9.9628.072.829.36112.2411.99
sll1599mntAManganese transport system ATP-binding protein MntA4.0417.114.244.1865.7615.74
slr1295futA1Iron transport system substrate-binding protein479.40669.201.40183.651131.716.16
slr0513futA2Iron transport system substrate-binding protein425.93832.101.95366.042076.585.67
slr1488Multidrug resistance family ABC transporter15.1646.453.0617.28130.697.56
OTHER CATEGORIES
sll1358mncAOxalate decarboxylase, periplasmic protein248.0894.870.38133.0473.570.55
sll1688thrCThreonine synthase1010.37704.750.701408.81822.450.58
sll1709gdh3-ketoacyl-acyl carrier protein reductase99.76504.565.0659.54418.647.03
slr0518abfBSimilar to alpha-L-arabinofuranosidase B40.8627.970.6845.8226.800.58
slr0786mapBMethionine aminopeptidase6.7320.913.116.8535.695.21
slr1204degPProtease109.11511.994.69122.90572.694.66
slr1764capASimilar to tellurium resistance protein TerE26.98222.688.2523.67125.435.30
slr2097glbNCyanoglobin128.401919.9014.95116.381589.7413.66
slr2116spsAProbable glycosyltransferase22.8411.760.5116.6014.060.85
ssr1720tyrSSimilar to tyrosyl tRNA synthetase5.2614.682.793.7724.906.61
UNKNOWN PROTEIN
sll0249Hypothetical protein10.3923.762.296.5584.7412.95
sll0327Unknown protein113.131929.2317.05157.081310.838.35
sll0328Unknown protein47.79859.8817.9948.45595.6012.29
sll0443Unknown protein71.82419.755.8475.08336.964.49
sll0444Unknown protein116.90563.084.8297.11410.524.23
sll0445Unknown protein114.46528.484.62117.45444.433.78
sll0448Unknown protein10.1749.144.837.2142.815.94
sll0543Hypothetical protein677.9537.760.06535.5031.010.06
sll0783Unknown protein84.8038.090.4586.3568.050.79
sll0846Hypothetical protein133.72577.774.32106.12532.705.02
sll0910Unknown protein27.90188.616.7623.33243.5910.44
sll0911Unknown protein29.09170.085.8516.73124.757.46
sll1009Unknown protein611.423545.015.80926.183621.413.91
sll1119Hypothetical protein109.2283.030.7673.6844.880.61
sll1236Unknown protein30.41472.8515.5527.60136.104.93
sll1239Unknown protein88.93685.387.7141.49494.2711.91
sll1240Unknown protein23.31240.7810.3318.06205.7211.39
sll1241Unknown protein26.35199.167.5614.51181.6512.52
sll1247Hypothetical protein137.8561.680.45194.48104.160.54
sll1359Unknown protein76.4237.700.4948.3036.910.76
sll1396Unknown protein59.9313.160.2254.1813.940.26
sll1472Unknown protein97.9048.950.5061.9749.500.80
sll1483Periplasmic protein57.32302.455.2846.76183.743.93
sll1549Salt-enhanced periplasmic protein232.67121.520.5218.94215.4811.37
sll1660Hypothetical protein45.49351.047.7248.25355.407.37
sll1722Hypothetical protein18.55130.157.0113.4145.983.43
sll1723Probable glycosyltransferase11.6367.765.837.8724.453.11
sll1851Unknown protein136.11100.980.7415.16103.216.81
sll1913Hypothetical protein24.83103.474.1718.85108.195.74
sll1921Hypothetical protein136.061118.718.22152.961173.637.67
sll1956Hypothetical protein68.6142.420.6260.4437.540.62
slr0105Hypothetical protein40.10327.608.1751.00312.126.12
slr0106Unknown protein58.01324.485.5974.96308.214.11
slr0179Hypothetical protein11.14405.2836.3719.47345.3217.74
slr0196Unknown protein38.61187.904.8714.43111.927.75
slr0317Hypothetical protein18.01103.045.7220.82119.395.73
slr0362Hypothetical protein48.52240.114.9555.46204.713.69
slr0364Hypothetical protein5.5825.684.615.7312.252.14
slr0393Unknown protein17.6935.912.037.2638.905.36
slr0442Unknown protein175.06105.140.60207.58121.900.59
slr0572Unknown protein350.0518.160.05194.8816.910.09
slr0573Unknown protein18.803.650.1922.656.200.27
slr0581Unknown protein79.35334.014.2160.26159.452.65
slr0617Unknown protein85.1716.670.2089.5125.910.29
slr0709Hypothetical protein88.5876.130.8696.0056.950.59
slr0868Unknown protein20.22326.4016.1413.93203.1914.59
slr0869Hypothetical protein23.29185.207.9524.87165.856.67
slr0870Hypothetical protein31.36196.836.2814.82110.907.48
slr0871Unknown protein12.74102.108.015.4963.2711.53
slr1161Hypothetical protein306.59134.800.44251.7684.910.34
slr1162Unknown protein131.9066.560.50104.4063.190.61
slr1278Hypothetical protein YCF6232.5427.870.8678.7941.890.53
slr1484Unknown protein48.58129.122.6629.37273.359.31
slr1485Salt-induced periplasmic protein12.4853.604.2914.24110.547.76
slr1704Hypothetical protein162.271747.9310.77179.40617.743.44
slr1767Hypothetical protein39.67197.114.9719.0696.155.04
slr1772Probable hydrolase, periplasmic protein49.33225.974.5849.08245.265.00
slr1788Unknown protein33.57388.0011.5665.92359.185.45
slr1789Unknown protein16.30152.349.3429.57152.665.16
slr1798Unknown protein155.94109.760.70186.54116.120.62
slr1920Unknown protein69.46571.568.2358.59561.879.59
slr2119Unknown protein60.7416.370.2741.9914.000.33
ssl1046Hypothetical protein573.1821.060.04291.0510.300.04
ssl1378Hypothetical protein69.5733.340.48194.48104.160.54
ssl1577Hypothetical protein20.16114.075.667.7845.355.83
ssr0332Hypothetical protein218.38154.040.71120.9673.510.61
ssr1155Hypothetical protein670.58374.800.56164.79140.340.85
ssr1251Hypothetical protein52.5715.340.296.042.220.37
ssr1473Hypothetical protein13.2391.146.8910.3645.684.41
ssr2194Unknown protein14.79614.1641.528.50181.5921.37
ssr2615Hypothetical protein24.6517.450.7127.189.410.35
ssr2962Hypothetical protein63.09276.404.3841.60191.314.60
ssr3570Unknown protein61.1927.670.4530.6917.300.56
ssr3589Hypothetical protein19.15115.476.039.1161.376.73

Genes with altered expression in the lexA-disrupted mutant.

Motility-related genes

The motile strain of S.6803 exhibits phototactic motility dependent on the type IV-like thick pilus structure (Brahamsha and Bhaya, 2014). In S.6803 genome, there are multiple genes homologous to the pilA gene encoding the subunit of the type IV pilus-like structure. Among them, pilA1 was shown to be responsible for the thick pilus structure, motility, and transformation efficiency (Bhaya et al., 1999; Yoshihara et al., 2001), whereas functions of other pilA-like genes are unknown. We observed that their expression is positively or negatively affected by disruption of the lexA gene. Expression of pilA7-pilA8 was largely enhanced whereas that of pilA9-pilA10-pilA11 and pilA1-pilA2 decreased. The observed decrease in expression level of pilA1 and pilA9-pilA10-pilA11 was consistent with the results of DNA microarray analysis of the ΔlexA mutant in the motile PCC strain (Kamei et al., 2001).

Furthermore, we observed that several genes other than pilA involved in motility were affected by disruption of lexA. Expression of pixG-pixH-pixI-pixJ1-pixJ2-pixL (sll0038-0043) encoding regulatory factors involved in positive phototaxis increased in the mutant (Tables S2). It has been reported that motility is controlled by cAMP level in S.6803 and inactivation of cya1 encoding adenylate cyclase or sycrp1 encoding cAMP receptor protein results in loss of motility (Terauchi and Ohmori, 1999; Yoshimura et al., 2002a). Although expression of cya1 and sycrp1 itself was not so much affected by disruption of lexA, decrease in expression levels of five genes, pilA9-pilA10-pilA11-slr2018 and cccS (slr1667), out of six genes reported to be decreased by disruption of sycrp1(Yoshimura et al., 2002b) was observed (Table 1). cccS is also considered to be related to motility, since its disruption resulted in loss of the thick pili (Yoshimura et al., 2010). We observed expression level of sycrp2 is lower in ΔlexA (Table 1), although involvement of SYCRP2 in regulation of motility has not been reported.

Glucosylglycerol-related genes

In S.6803, glucosylglycerol (GG) is a major compatible solute to adapt to high-salt or high-osmotic pressure conditions (Klähn and Hagemann, 2011). A set of genes related to GG biosynthesis (ggp, glp) and uptake (ggt) are organized into several gene clusters such as ggtBCD (slr0529-0531), ggpS-glpD (sll1566-sll1085), ggpP-ggtA (slr0746-0747), and slr1670-glpK-spoU-slr1674-hypA1(slr1670-1675) in S.6803 genome (Mikkat and Hagemann, 2000; Klähn et al., 2010). RNA-seq analysis revealed that expression levels of these gene clusters were significantly higher in ΔlexA than WT (Table 1 and Table S2). Klähn et al. (2010) reported that a small ORF, ggpR (ssl3076), exists overlapping with the transcription initiation site of ggpS and its promoter region. Expression of ggpR was also induced by disruption of lexA (Table 1).

Hydogenase-related genes

Expression level of the hoxE-hoxF-hoxU-hoxY-hoxH operon encoding subunits of bidirectional NiFe-hydrogenase was lower in ΔlexA. This observation is consistent with the previous study reporting that LexA acts as a transcriptional activator for the hox operon (Gutekunst et al., 2005). On the other hand, the expression level of the hypA1 gene involved in hydrogenase maturation increased in ΔlexA.

Photosynthesis-related genes

In S.6803, photosystem (PS) I complex is comprised of 11 subunits and genes encoding these subunits (psa) are dispersed throughout the genome (Kaneko et al., 1996). We found that the expression level of every PSI gene was lower in ΔlexA than WT. The expression level of genes encoding subunits of phycobilisome (cpc, apc) was also lower in the mutant, whereas the expression level of genes encoding PSII subunits (psb) was not so much affected by disruption of lexA. Expression levels of chlL-chlN encoding subunits of light-independent protochlorophyllide reductase and that of por encoding light-dependent protochlorophyllide reductase were lower in ΔlexA. Both light-dependent and -independent enzymes catalyzing the last step of chlorophyll biosynthesis are likely to be under the control of LexA. On the other hand, expression level of hliA and hliB encoding high-light inducible proteins was higher in ΔlexA than WT.

SOS-response related genes

Previous studies suggested that LexA in S.6803 is not involved in the SOS response. Neither lexA nor recA expression was induced upon UV-irradiation (Domain et al., 2004; Patterson-Fortin et al., 2006) and none of DNA metabolism-related genes was listed as genes induced or repressed by LexA depletion (Kamei et al., 2001; Domain et al., 2004). Similarly, induction or repression of DNA metabolism-related genes by disruption of lexA was not observed in our RNA-seq analysis.

Genes differentially expressed in ΔlexA at the later stage of growth

Several genes expressed under iron-limiting conditions such as exbB-exbD-fhuA operon involved in inorganic iron uptake (Jiang et al., 2015), futA1 and futA2 encoding subunits of iron transporter (Katoh et al., 2001), and isiA-isiB operon encoding iron-stress inducible proteins (Vinnemeier et al., 1998) were highly induced in ΔlexA at OD730 = 1.0 but not in OD730 = 0.5. In the case of mntA and mntC encoding subunits of manganese transporter (Bartsevich and Pakrasi, 1995), their expression level was already higher in ΔlexA at OD730 = 0.5 and showed further increase at OD730 = 1.0.

DNA gel mobility shift assay

DNA gel mobility shift assay was performed to examine whether LexA directly regulates expression of putative target genes listed by RNA-seq analysis (Figure 3). We observed induction of the pilA7-pilA8 operon and repression of the pilA9-pilA10-pilA11 operon in ΔlexA (Table 1). Binding of His-LexA to the promoter regions of both operons (for the pilA7 operon from nucleotide 2222102 to 2222304 and for the pilA9 operon from nucleotide 755577 to 755778, according to numbering in CyanoBase) was observed, indicating that LexA directly activates or represses expression of these pilA operons. We also examined whether His-LexA binds to the upstream region of the two divergently transcribed operons, ggpS-glpD and slr1670-glpK-spoU-slr1674-hypA1, both of which are highly induced in ΔlexA. His-LexA bound to the promoter fragment of each operon (for the ggpS operon from nucleotide 1949371 to 1949186 and for the slr1670 operon from nucleotide 1949332 to 1949534). It is notable that LexA-binding site for the the ggpS operon is within the coding region of ggpR (nucleotide 1949372 to 1949100). Our results suggest that LexA binds to at least two binding site located in the intergenic region of the ggpS and slr1670 operons to repress their expression. Next, we examined the binding of LexA to the upstream region of PSI genes by using light-responsive promoter fragments containing the HLR1 sequence recognized by the response regulator RpaB (Seino et al., 2009). Binding of His-LexA to the promoter region of PSI genes was not observed (Figure 3) or much weaker than that to the pilA7, pilA9, ggpS, and slr1670 promoters and not reproducible. This indicates that decrease in expression levels of PSI genes in ΔlexA may be a secondary effect.

Figure 3

Figure 3

DNA gel mobility shift assay of the promoter segments of putative target genes with His-LexA. DIG-labeled promoter segments of pilA7, pilA9, ggpS, slr1670, and psaD were incubated for 25 min at room temperature with His-LexA added at indicated concentrations. five-fold and 50-fold excess amounts of the non-labeled promoter segments were added as a competitor. Samples were separated on a 6% polyacrylamide gel.

Discussion

Effects of disruption of the lexA gene in S.6803

In this study, we created the gene-disrupted mutant of lexA in GT strain of S.6803 to obtain the comprehensive view of LexA regulon by RNA-seq analysis. Although Kamei et al. (2001) successfully obtained the fully-segregated lexA mutant from the motile PCC strain, in most cases the ΔlexA mutant invariably retained the WT copy of the lexA gene (Domain et al., 2004; Gutekunst et al., 2005) and we also could not obtain fully-segregated mutant (Figure 1B). The heterogeneous appearance of the ΔlexA mutant cells (Figure 1G) may be caused by difference in the extent of segregation. However, despite the existence of the WT copy of lexA, immunoblot analysis revealed that LexA protein level was below the detection limit in our mutant (Figure 1D).

To date, LexA in S.6803 has been reported to be involved in transcriptional regulation of genes related to various cellular functions. Our RNA-seq data are consistent with some of these reports, e.g., positive regulation of the hox operon reported by Gutekunst et al. (2005) and positive regulation of the pilA genes reported by Kamei et al. (2001). However, we could not observe the large effect of LexA depletion on carbon metabolism-related genes reported by Domain et al. (2004). Domain et al. isolated RNA for DNA microarray analysis from concentrated cultures incubated on plates for 2 h. The growth condition must be largely different from our liquid culture, which may cause the difference in gene expression profile. in vitro transcription/translation assay performed by Patterson-Fortin et al. (2006) showed that CrhR protein accumulation decreased in response to increasing LexA concentration. However, in our data, expression level of crhR was not affected by disruption of lexA.

RNA-seq data in this study suggested involvement of LexA in regulation of (1) phototactic motility, (2) accumulation of GG, (3) bidirectional hydrogenase, and (4) photosystem I and phycobilisome complexes. We also observed increase in expression level of genes related to iron and manganese uptake in ΔlexA at OD730 = 1.0. LexA may be involved in stage specific repression of these genes, but it is also possible that these genes were upregulated as a consequence of iron and manganese limitation in the mutant culture during prolonged incubation. We will discuss regulation of cellular processes (1)–(4) by LexA in the following sections.

Cellular processes regulated by LexA in S.6803

Phototactic motility

Kamei et al. (2001) reported that disruption of the lexA gene in the motile PCC strain resulted in decrease in expression level of pilA genes and loss of thick pili and motility. Our RNA-seq analysis showed that expression levels of genes related to phototactic motility are largely affected by disruption of lexA also in the non-motile strain. In addition to the decrease in expression level of pilA1 and pilA9-pilA10-pilA11 reported in Kamei et al. (2001), we observed significant induction of pilA7-pilA8. Furthermore, expression levels of several genes related to positive phototaxis and cAMP signaling were affected. Although many non-motile mutants were so far isolated from the PCC strain, information on the mechanism of transcriptional regulation of motility-related genes is limited. Bhaya et al. (1999) reported decrease in expression level of pilA1 and pilA2 by disruption of the sigF gene encoding an alternative sigma factor. Yoshimura et al. (2002b) and Dienst et al. (2008) reported decrease in expression level of pilA9-pilA10-pilA11-slr2018 and cccS-cccP by disruption of sycrp1 encoding cAMP receptor protein and hfq encoding RNA chaperone homolog, respectively. Panichkin et al. (2006) reported decrease in expression level of pilA9-pilA10-pilA11-slr2018 and increase in that of pilA5-pilA6 and pilA1-pilA2 by disruption of spkA encoding Serine/threonine protein kinase. None of these reports showed the direct interaction of these regulatory factors with pilA genes and LexA in this study is the first report of binding of transcriptional regulator to their upstream region (Figure 3). Involvement of SYCRP1 in transcriptional regulation of pilA genes through the direct regulation of LexA is not likely, since no SYCRP1 binding sequence has been detected in the upstream region of the lexA gene (Omagari et al., 2008; Xu and Su, 2009). Further examination of relationship between LexA and previously identified regulatory factors which affect motility may be a key to understanding of signal transduction mechanism regulating phototactic motility.

Accumulation of GG

In order to acclimate to high-salt or high-osmotic pressure conditions, S.6803 accumulates the compatible solute GG. Upon a salt shock, genes related to both GG biosynthesis (ggp, glp) and uptake (ggt) are induced (Kanesaki et al., 2002; Marin et al., 2004). GG is synthesized by a two-step reaction in S.6803. First, condensation of ADP-glucose and glycerol 3-phosphate is catalyzed by GG-phosphate synthase (GgpS) and then the intermediate is dephosphorylated by GG-phosphate phosphatase (GgpP) (Hagemann and Erdmann, 1994). Glycerol-3-phosphate dehydrogenase (GlpD) and glycerol kinase (GlpK) are involved in the metabolism of glycerol-3-phosphate, a precursor of GG. Uptake of GG from the environment is performed by ABC transporter consisting of an ATP-binding protein (GgtA), a substrate-binding protein (GgtB) and two integral membrane proteins (GgtC and GgtD) in S.6803 (Mikkat and Hagemann, 2000). All of these genes are induced by the disruption of lexA (Table 1 and Table S2). DNA gel mobility shift assay revealed that His-LexA protein binds to the upstream region of two divergently transcribed operons, ggpS-glpD and slr1670-glpK-spoU-slr1674-hypA1 (Figure 3). To date, sigma factors SigF (Marin et al., 2002) and SigB (Nikkinen et al., 2012), a small protein GgpR (Klähn et al., 2010) and a response regulator Slr1588 (Chen et al., 2014) were reported to be involved in transcriptional regulation of the ggpS-glpD operon. Our result suggests the existence of the additional regulatory mechanism, namely, repression of the divergent ggpS and slr1670 operons by LexA. Expression of ggpR may also be repressed by LexA, judging from the fact its expression was induced by the disruption of lexA (Table 1). Salt-stress inducible genes such as hliA, hliB, hspA, prqR, degP, sll1723, sll0846, sll1483, slr1704, sll1236, slr0581, and ssr2194, reported in the previous DNA microarray studies (Kanesaki et al., 2002; Marin et al., 2004), were also induced by the disruption of lexA (Table 1). There is possibility that LexA acts as a repressor for multiple salt-stress inducible genes as well as the ggpS and slr1670 operons.

Bidirectional hydogenase

Regulation of the hox operon by LexA has been extensively studied in S.6803 (Oliveira and Lindblad, 2009). LexA was shown to bind to two distinct regions of the hox promoter, −198 to −338 and −592 to −690, relative to the start codon of hoxE (Gutekunst et al., 2005; Oliveira and Lindblad, 2005) and work for positive regulation of hydrogenase activity (Gutekunst et al., 2005). Regulation of hydrogenase-related genes by LexA may be common among cyanobacterial species, judging from the reports on LexA homologs in Anabaena sp. PCC 7120 (Sjöholm et al., 2007) and Lyngbya majuscula CCAP 1446/4 (Ferreira et al., 2007).

Photosystem I and phycobilisome

In the ΔlexA mutant, chlorophyll and phycocyanin contents were lower than those in WT (Figure 1F). This may be caused by decreased expression level of genes encoding subunits of PSI (psa), subunits of phycobilisome (cpc, apc) and both light-dependent and -independent protochlorophyllide reductase (chlL, chlB, por). It is known that these photosynthesis-related genes show the quite similar response to the changing light environment (Muramatsu and Hihara, 2012). The response regulator RpaB regulates high-light response of photosynthesis-related genes by binding to their promoter regions under low-light conditions (Wilde and Hihara, 2016). PSI genes and hli genes are positively- and negatively-regulated target genes of RpaB, respectively (Kappell and van Waasbergen, 2007; Seki et al., 2007; Seino et al., 2009). Repression of PSI genes and induction of hli genes by disruption of LexA (Table 1) seem to suggest overlapping roles of RpaB and LexA in regulation of photosynthetic gene expression. However, clear and reproducible band shift was not observed when binding of His-LexA to the promoter regions of PSI genes was examined (Figure 3). It is possible that changes in expression levels of photosynthesis-related genes in ΔlexA are not the consequence of loss of regulation by LexA but a secondary effect.

Search for LexA binding sites in the target promoters

Our results of DNA gel mobility shift assay suggest that LexA binds to the upstream region of piA7, pilA9, ggpS and slr1670 to directly regulate their expression (Figure 3). To date, several nucleotide sequences for LexA binding site have been identified by DNA gel mobility shift assay, for example, 5′-TTTATTTGA ACTATTTTT-3′, 5′-TTTTTCGTTGTCTAA ATT-3′ (Oliveira and Lindblad, 2005), 5′-CTA-N9(AT-rich)-CTA-3′ (Patterson-Fortin and Owttrim, 2008), and 5′-AGT AACTAGTTCG-3′ (Gutekunst et al., 2005) in S.6803 and 5′-TAG TACTAATGTTCTA-3′ in A.7120. (Mazón et al., 2004). However, these LexA binding sequences could not be found in the promoter fragments to which His-LexA bound. Instead, we found that a 5′-TTTTG(A/T)TNAC-3′ sequence commonly exists in these promoter fragments (Figure S1). The sequence is located around the putative transcription start site in the case of the negatively-regulated target genes, ggpS, piA7, and slr1670, whereas it is located further upstream region in the case of the positively-regulated pilA9 gene. It has been reported that a certain global transcriptional regulator, such as NtcA and RpaB in S.6803, can act as both repressor and activator dependent on the location of the binding site (García-Domínguez et al., 2000; Seino et al., 2009). Binding of the transcriptional regulator causes repression when its binding site overlaps the RNA polymerase-binding site, whereas activating effect is observed when the binding site is located further upstream. The location of 5′-TTTTG(A/T)TNAC-3′ sequence in four LexA-target promoters seems consistent with the scheme.

Physiological roles of cyanobacterial LexA

Results of RNA-seq analysis (Table 1) together with DNA gel mobility shift assay (Figure 3) suggest LexA in S.6803 can positively or negatively regulate various cellular processes such as phototactic motility, GG accumulation and hydogenase activity. Regulation of such a wide range of cellular processes by LexA was reported in other bacterial species. For example, the lexA mutant of Clostridium difficile showed pleiotrophic phenotypes such as filamentous structure due to inhibition of cell division, decreased sporulation, decrease in swimming motility and increased biofilm formation (Walter et al., 2015). In this case, LexA acts as a regulator of DNA damage in addition to the above mentioned biological functions. In contrast, DNA microarray data from different research groups (Kamei et al., 2001; Domain et al., 2004) and our RNA-seq data suggest LexA in S.6803 is not involved in regulation of SOS genes. In S.6803, expression of lexA and recA was not induced upon UV-irradiation (Domain et al., 2004; Patterson-Fortin et al., 2006). Similarly, in Anabaena sp. PCC 7120, expression of lexA was not induced upon UV-B exposure or treatment with a DNA damaging agent mitomycin C (Kumar et al., 2015). In these freshwater species, LexA-independent protection mechanism for DNA damage may have evolved and LexA may have become devoted to regulating other cellular processes. Then, what is the physiological meaning of the coordinated regulation of phototactic motility, GG accumulation, and hydogenase activity by LexA in S.6803? We searched for environmental conditions where LexA-target genes are coordinately regulated using CyanoEXpress gene expression database (http://cyanoexpress.sysbiolab.eu/) and found that salt stress causes induction of GG metabolism-related genes and repression of hox operon and pilA genes in WT (Shoumskaya et al., 2005; Dickson et al., 2012). The expression profile is similar to that observed by disruption of lexA (Table 1), indicating the possibility that transcriptional regulation by LexA is temporarily inactivated under salt stress conditions.

Recently, it has been suggested that the SOS response in the marine Synechococcus is regulated by LexA like E. coli (Blot et al., 2011; Tetu et al., 2013). Cyanobacterial LexA genes can be clustered into three groups, Clade A containing Gloeobacter violaceus PCC 7421, Clade C containing marine picocyanobacteria and Clade B containing most remaining species (Li et al., 2010). There may exist high degree of variation of LexA regulons among species belonging to these three clades. By examination of what kind of cellular processes LexA regulates, we will be able to know decision of each species about how to use the transcriptional regulator LexA for better adaptation to changing environment.

Funding

This work was financially supported by the Core Research of Evolutional Science & Technology (CREST) programs from the Japan Science and Technology Agency (JST).

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Statements

Author contributions

The study was conceived by AYK and YH, with design input from AKK. Experiments were performed by AYK and AKK. Data analysis and interpretation was done by all authors. The manuscript was prepared by AYK and YH, and reviewed by all authors.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fmicb.2016.00193

Table S1

Oligonucleotides used in this study.

Table S2

RNA-seq data of WT and ΔlexA at OD730 = 0.5.

Table S3

RNA-seq data of WT and ΔlexA at OD730 = 1.0.

Figure S1

Consensus sequences for LexA binding site in four LexA-target promoters identified with MEME.

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Summary

Keywords

cyanobacteria, LexA, RNA-seq, Synechocystis, transcriptome

Citation

Kizawa A, Kawahara A, Takimura Y, Nishiyama Y and Hihara Y (2016) RNA-seq Profiling Reveals Novel Target Genes of LexA in the Cyanobacterium Synechocystis sp. PCC 6803. Front. Microbiol. 7:193. doi: 10.3389/fmicb.2016.00193

Received

07 January 2016

Accepted

04 February 2016

Published

19 February 2016

Volume

7 - 2016

Edited by

Takashi Osanai, Meiji University, Japan

Reviewed by

Lei Chen, Tianjin University, China; Rei Narikawa, Shizuoka University, Japan

Updates

Copyright

*Correspondence: Yukako Hihara

This article was submitted to Microbiotechnology, Ecotoxicology and Bioremediation, a section of the journal Frontiers in Microbiology

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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