Abstract
Cobalt (Co2 +) is an important transition metal ion that plays a vital role in cellular physiology of bacteria. The role of Co2 + in the regulation of several genes/operons in Streptococcus pneumoniae has recently been reported [1]. The data described in this article relate to the genome-wide transcriptional profiling of Streptococcus pneumoniae D39, either in the presence or absence of 0.5 mM Co2 + in chemically defined medium (CDM) using DNA microarray analysis. Genes belonging to a broad range of cellular processes such as virulence, transport and efflux systems, stress response and surface attachment were differentially expressed in the presence of Co2 +. We used transcriptional lacZ assays and electrophoretic mobility shift assays (EMSAs) to confirm our results [1]. The dataset is publicly available at the Gene Expression Omnibus (GEO) repository (http://www.ncbi.nlm.nih.gov/geo/) with accession number GSE57696.
Keywords: Co2 +, PsaR, Streptococcus pneumoniae, Microarray
1. Specifications
| Organism/cell line/tissue | Streptococcus pneumoniae strain D39 |
| Sex | N/A |
| Sequencer or array type | Oligo-based DNA microarray |
| Data format | Raw and processed |
| Experimental factors | 0 mM Co2 + versus 0.5 mM Co2 + |
| Experimental features | Differentially expressed genes were identified by microarray comparison of D39 wild-type grown in CDM + 0 mM Co2 + to D39 wild-type grown in CDM + 0.5 mM Co2 + in CDM |
| Consent | N/A |
| Sample source location | Groningen, The Netherlands |
2. Direct link to deposited data
The raw and processed DNA microarray dataset has been deposited in the Gene Expression Omnibus (GEO) database and can be accessed under following link: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57696.
3. Experimental design, materials and methods
3.1. Objective of the experiment
Our objective was to investigate the impact of Co2 + on the gene expression of S. pneumoniae.
3.2. Strains and growth conditions
S. pneumoniae D39 serotype 2 strain (cps2), obtained from the laboratory of Prof. Peter Hermans, was used in this study [2]. The chemically defined medium (CDM) was treated with 1% Chelex 100 Resign (Bio-Rad) to ensure a metal depleted environment (medium). 50 ml of cell culture of S. pneumoniae D39 was grown in the CDMchelex either with or without 0.5 mM Co2 + at 37 °C in replicates. Cells were collected at an optical density of 0.2–0.25 (i.e. mid-exponential growth phase) at 600 nm (OD600) by centrifugation for 1 min at 4 °C. The cell pellets were maintained at − 80 °C if not processed immediately.
3.3. Total RNA extraction and removal of ribosomal RNA
Total RNA from the samples were isolated as described [3]. In short, cell pellets were resuspended in 400 μl of nuclease free water (DEPC-treated), after which 50 μl of 10% SDS, 500 μl of phenol/chloroform (1:1) and 500 mg glass beads were added and lysed by beat beater in the screw-capped tubes. Total RNA was isolated by the combination of the Macaloid method and the RNA isolation Kit (Roche) from lysed cells. DNA contamination was eliminated from the RNA sample by treatment with 2U of RNase free DNase I (Invitrogen, Paisley, United Kingdom). A NanoDrop Spectrophotometer (NanoDrop Technologies, Inc.) was used to determine the RNA concentration and sample quality was assessed using an Agilent RNA analysis kit (Agilent technologies).
3.4. cDNA preparation, hybridization and data acquisition
15 μg of RNA was mixed with 2 μl random nonamers (1.6 μg/μl) to prepare the annealing mixture. The volume of the annealing mixture was kept at 18 μl by the addition of nuclease free water (DEPC-treated), if required. The reaction mixture was kept at 70 °C for 5 min following 10 min cooling step at room temperature. 12 μl of master mix was prepared for each sample by the addition of 6 μl 5X first strand buffer [250 mM Tris–HCl (pH 8.3), 375 mM KCl, 15 mM MgCl2], 3 μl 0.1 M DDT, 1.2 μl 25X AA-dUTP/nucleotide mix, and 1.8 μl Superscript III reverse transcriptase. The master mix was added to the annealing mixture carefully, and incubated at 42 °C for 2–16 h. After incubation, the reaction mixture was treated with 3 μl of 2.5 M NaOH at 37 °C for 15 min to remove the mRNA from the reaction mixture. After that 15 μl of 2 M HEPES free acid was added in the reaction mixture to neutralize the NaOH. The cDNA mixture was purified by the DNA purification Kit (NucleoSpin, Gel and PCR clean-up kit), following the manufacturer's protocol. cDNA samples were labeled with DyLight-550 and DyLight-650 in dye-swap.
We combined the equal quantities of labeled cDNAs (max 30% difference), and dried the samples using the vacuum concentrators at high temperature (approx. 40 min) until the volume was smaller than 7 μl. The dried samples were dissolved in 7 μl H2O and incubated at 94 °C for 2 min. Finally, hybridization was performed with labeled cDNA for 16 h at 45 °C in Ambion Slidehyb #1 hybridization buffer on in house build super amine glass slides (Array-It, SMMBC) containing amplicon of on average 600 bp representing 2087 ORFs of S. pneumoniae TIGR4 [4] and 184 ORFs specific for S. pneumoniae R6 [5]. 0.5 pmol/μl was taken as the minimum concentration of DyLight550 or DyLight650 in a total eluted volume of 50 μl. After hybridization, slides were washed using freshly prepared wash-buffers I, II and III and scanned at appropriate wavelengths in the scanner as described before [3].
3.5. Microarray data analysis
The microarray scanned slides were analyzed in GenePix Pro 6.0 Microarray Acquisition and by Analysis Software [6]. Raw data files were deposited on GEO under the accession number GSE57696. After initial analysis, the normalization and processing of the data was performed using different Microprep software package (Table 1). Statistical analyses were performed as described previously [7]. Finally, Cyber-T was used to analyze the data generated using Microprep for the identification of statistically significant differentially expressed genes. False discovery rates (FDRs) were calculated as described [8]. For differentially expressed genes, p < 0.001 and FDR < 0.05 were taken as a standard. Genes exhibiting a fold change ≥ 2.0 and a p-value < 0.05 were considered differentially expressed. Software packages mentioned in Table 1 were used for further data interpretation.
Table 1.
Summary of computational tools used to analyze DNA microarray data.
| Software | Purpose | URL |
|---|---|---|
| Microprep[8] | A cDNA microarray data pre-processing framework | http://www.molgenrug.nl/index.php/molgensoftware |
| CyberT | Amplementation of a variant of t-test | http://bioinformatics.biol.rug.nl/cybert/index.shtml |
| Genome2D [9] | A visualization tool for the rapid analysis of bacterial transcriptome data | http://genome2d.molgenrug.nl/ |
| FIVA [10] | Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes | http://bioinformatics.biol.rug.nl/standalone/fiva/ |
| Projector [11] | Automatic contig mapping for gap closure purposes | http://bamics2.cmbi.ru.nl/websoftware/projector2/projector2_start.php |
| PePPER [12] | A webserver for prediction of prokaryote promoter elements and regulons | http://pepper.molgenrug.nl/ |
4. Discussion
Here, we have investigated the impact of Co2 + on the global gene expression of S. pneumoniae D39 by DNA microarray analysis. Transcriptome comparison of D39 wild-type grown in CDM with 0 mM Co2 + to same strain grown in CDM with 0.5 mM Co2 +, revealed the impact of Co2 + on the gene expression of S. pneumoniae D39. 24 genes were downregulated (Table 2) and 14 genes were upregulated (Table 3). The PsaR regulon (pcpA, psaBCA and prtA), the cbi operon, and the nrd operon were highly downregulated in the absence of Co2 +, suggesting the role of Co2 + in the regulation of these systems. This was further confirmed by β-galactosidase assays, metal accumulation assays and electrophoretic mobility shift assays (EMSAs) [1]. The expression of some other genes was also altered in our transcriptome analysis and further investigations are required to clear the role of Co2 + in the regulation of these genes.
Table 2.
Summary of downregulated genes in transcriptome comparison of S. pneumoniae D39 wild-type grown in CDM plus 0 mM Co2 + and CDM plus 0.5 mM Co2 +.
| Gene taga | Functionb | Ratioc | P-value |
|---|---|---|---|
| SPD0053 | Amidophosphoribosyltransferase | − 2.0 | 2.09E-06 |
| SPD0054 | Phosphoribosylformylglycinamidine cyclo-ligase | − 2.0 | 5.29E-08 |
| SPD0055 | Phosphoribosylglycinamide formyltransferase | − 2.2 | 1.12E-05 |
| SPD0056 | VanZ protein | − 2.4 | 6.93E-05 |
| SPD0057 | Bifunctional purine biosynthesis protein, PurH | − 2.5 | 1.28E-07 |
| SPD0187 | Anaerobic ribonucleoside-triphosphate reductase, NrdD | − 11.2 | 2.93E-14 |
| SPD0188 | Hypothetical protein | − 4.3 | 2.47E-10 |
| SPD0189 | Acetyltransferase, GNAT family protein | − 11.0 | 5.44E-10 |
| SPD0190 | Anaerobic ribonucleoside-triphosphate reductase, NrdG | − 10.5 | 1.22E-15 |
| SPD0191 | Hypothetical protein | − 8.3 | 1.34E-07 |
| SPD0458 | Heat-inducible transcription repressor, HrcA | − 2.5 | 1.09E-10 |
| SPD0459 | Heat shock protein, GrpE | − 2.1 | 4.82E-09 |
| SPD0558 | Cell wall-associated serine protease, PrtA | − 16.6 | 3.89E-14 |
| SPD1461 | Mn2 + ABC transporter, ATP binding protein, PsaB | − 8.7 | 2.18E-14 |
| SPD1462 | Manganese ABC transporter, permease protein, PsaC | − 8.7 | 2.18E-14 |
| SPD1594 | XRE family Transcriptional regulator | − 3.1 | 7.14E-09 |
| SPD1636 | Zn2 +-containing alcohol dehydrogenase | − 8.4 | 2.05E-14 |
| SPD1637 | MerR family transcriptional regulator | − 11.0 | 1.41E-10 |
| SPD1638 | Cation efflux system, CzcD | − 20.8 | 0 |
| SPD1965 | Choline binding protein, PcpA | − 5.0 | 5.48E-06 |
| SPD2044 | Rod shape-determining protein, MreD | − 3.0 | 8.75E-11 |
| SPD2046 | Co2 + ABC transporter, permease protein, CbiQ | − 2.0 | 1.22E-09 |
| SPD2049 | CDP-diacylglycerol-glycerol-3-phosphate 3-phosphatidyltransferase PgsA | − 2.0 | 1.13E-06 |
| SPD2052 | Hypothetical protein | − 2.0 | 6.84E-09 |
Table 3.
Summary of upregulated genes in transcriptome comparison of S. pneumoniae D39 wild-type grown in CDM plus 0 mM Co2 + and CDM plus 0.5 mM Co2 +.
| Gene taga | Functionb | Ratioc | P-value |
|---|---|---|---|
| SPD0801 | Hypothetical protein | 2.01 | 1.29E-05 |
| SPD0910 | Serine hydroxymethyltransferase | 2.17 | 1.69E-11 |
| SPD1018 | Immunoglobulin A1 protease precursor | 2.08 | 2.29E-06 |
| SPD1039 | Phosphoenolpyruvate-protein phosphotransferase | 2.05 | 5.54E-11 |
| SPD1053 | Galactose-6-phosphate isomerase, LacA subunit | 2.45 | 5.83E-07 |
| SPD1294 | Hypothetical protein | 2.65 | 1.98E-11 |
| SPD1355 | Hypothetical protein | 2.10 | 7.71E-01 |
| SPD1466 | ABC transporter, ATP-binding protein | 2.02 | 4.65E-09 |
| SPD1588 | Hypothetical protein | 2.29 | 3.09E-07 |
| SPD 1598 | Hypothetical protein | 2.16 | 2.62E-08 |
| SPD 1596 | Tryptophan synthase, alpha subunit | 2.24 | 2.36E-08 |
| SPD 1727 | Hypothetical protein | 2.39 | 2.61E-07 |
| SPD 1728 | Hypothetical protein | 2.26 | 1.25E-10 |
References
- 1.Manzoor I., Shafeeq S., Kloosterman T.G., Kuipers O.P. Co2 +-dependent gene expression in Streptococcus pneumoniae: opposite effect of Mn2 + and Co2 + on the expression of the virulence genes psaBCA, pcpA and prtA. Microb. Physiol. Metab. 2015;6:748. doi: 10.3389/fmicb.2015.00748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Avery O.T., MacLeod C.M., McCarty M. Studies on the chemical nature of the substance inducing transformation of pneumococcal types. Induction of transformation by a desoxyribonucleic acid fraction isolated from Pneumococcus type III. 1944. Mol. Med. 1995;1:344–365. [PMC free article] [PubMed] [Google Scholar]
- 3.Afzal M., Manzoor I., Kuipers O.P. A fast and reliable pipeline for bacterial transcriptome analysis case study: serine-dependent gene regulation in Streptococcus pneumoniae. J. Vis. Exp. 2015 doi: 10.3791/52649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tettelin H., Nelson K.E., Paulsen I.T., Eisen J.A., Read T.D., Peterson S. Complete genome sequence of a virulent isolate of Streptococcus pneumoniae. Science. 2001;293:498–506. doi: 10.1126/science.1061217. [DOI] [PubMed] [Google Scholar]
- 5.Hoskins J., Alborn W.E., Jr., Arnold J., Blaszczak L.C., Burgett S., DeHoff B.S. Genome of the bacterium Streptococcus pneumoniae strain R6. J. Bacteriol. 2001;183:5709–5717. doi: 10.1128/JB.183.19.5709-5717.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Molecular Devices Corp, Molecular Devices Corp. GenePix Pro 6.0-Molecular Devices, Corp.; 2005. GenePix Pro 6.0 Microarray Acquisition and Analysis Software for GenePix Microarray Scanners-User's Guide and Tutorial. [Google Scholar]
- 7.van Hijum S.A.F.T., de Jong A., Baerends R.J.S., Karsens H.A., Kramer N.E., Larsen R. A generally applicable validation scheme for the assessment of factors involved in reproducibility and quality of DNA-microarray data. BMC Genomics. 2005;6:77. doi: 10.1186/1471-2164-6-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.van Hijum S.A.F.T., García de la Nava J., Trelles O., Kok J., Kuipers O.P. MicroPreP: a cDNA microarray data pre-processing framework. Appl. Bioinforma. 2003;2:241–244. [PubMed] [Google Scholar]
- 9.Baerends R.J., Smits W.K., de Jong A., Hamoen L.W., Kok J., Kuipers O.P. Genome2D: a visualization tool for the rapid analysis of bacterial transcriptome data. Genome Biol. 2004;5:1–6. doi: 10.1186/gb-2004-5-5-r37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Blom E.-J., Bosman D.W.J., van Hijum S.A.F.T., Breitling R., Tijsma L., Silvis R. FIVA: functional information viewer and analyzer extracting biological knowledge from transcriptome data of prokaryotes. Bioinformatics. 2007;23:1161–1163. doi: 10.1093/bioinformatics/btl658. [DOI] [PubMed] [Google Scholar]
- 11.van Hijum S.A.F.T., Zomer A.L., Kuipers O.P., Kok J. Projector: automatic contig mapping for gap closure purposes. Nucl. Acids Res. 2003;31(22):e144. doi: 10.1093/nar/gng144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.de Jong A., Pietersma H., Cordes M., Kuipers O.P., Kok J. PePPER: a webserver for prediction of prokaryote promoter elements and regulons. BMC Genomics. 2012;13:299. doi: 10.1186/1471-2164-13-299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lanie J.A., Ng W.-L., Kazmierczak K.M., Andrzejewski T.M., Davidsen T.M., Wayne K.J. Genome sequence of Avery's virulent serotype 2 strain D39 of Streptococcus pneumoniae and comparison with that of unencapsulated laboratory strain R6. J. Bacteriol. 2007;189:38–51. doi: 10.1128/JB.01148-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
