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. 2016 May 26;9:4–6. doi: 10.1016/j.gdata.2016.05.011

RNA-Seq reveals changes in the Staphylococcus aureus transcriptome following blue light illumination

Tamarah L Adair 1,, Bayless E Drum 1
PMCID: PMC4906118  PMID: 27330994

Abstract

In an effort to better understand the mechanism by which blue light inhibits the growth of Staphylococcus aureus in culture, a whole transcriptome analysis of S. aureus isolate BUSA2288 was performed using RNA-Seq to analyze the differential gene expression in response to blue light exposure. RNA was extracted from S. aureus cultures pooled from 24 1 ml well samples that were each illuminated with a dose of 250 J/cm2 of 465 nm blue light and from control cultures grown in the dark. Complementary DNA libraries were generated from enriched mRNA samples and sequenced using the Illumina MiSeq Next Generation Sequencer. Here we report one type of analysis that identified 32 candidate genes for further investigation. Blue light has been shown to be bactericidal against S. aureus and is a potential alternative therapy for antibiotic resistant organisms. The mechanism for the inactivation of bacteria is hypothesized to involve reactive oxygen species. These RNA-Seq results provide data that may be used to test this hypothesis. The RNA-Seq data generated by these experiments is deposited in Gene Expression Omnibus (Gene accession GSE62055) and may be found at NCBI (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62055).

Keywords: Staphylococcus aureus, Phototherapy, Reactive oxygen intermediates, RNA-seq, MRSA


Specifications
Organism/cell line/tissue S. aureus BUSA2288 (Nasal isolate)
Sex NA
Sequencer or array type MiSeq
Data format Raw
Experimental factors Blue light illumination vs no light
Experimental features RNA-Seq was used to analyze the differential gene expression of S. aureus in culture in response to blue light exposure.
Consent IRB Baylor University
Sample source location NA

1. Direct link to deposited data [provide URL below]

http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62055

2. Experimental design, materials and methods

[complete description of the Experimental design and methods used to acquire the genomic data and where applicable, in the analysis. Include any relevant figures/tables.]

2.1. Bacterial isolate

A methicillin resistant isolate of S. aureus was cultured from the nasal passage of a healthy Baylor University student in Waco, TX during the fall of 2009. This isolate is referred to as BUSA2288. Baylor University's Institutional Review Board for the protection of human subjects approved the consent form, collection procedures, and recording methods. The nasal passage sample was collected by swabbing each anterior nare and gently rolling the swab across the surface of a mannitol salt agar plate. Fermenting colonies were isolated and purified on tryptic soy agar (TSA) plates. Gram positive, catalase positive, coagulase positive, staphylococcal cultures were identified as S. aureus and stored in CRYOCARE beads (Key Scientific Products, Stamford, Texas) for future use. A Kirby Bauer disc diffusion assay was performed on S. aureus BUSA2288 and oxacillin resistance was confirmed using Etest (bioMérieux, Inc., Durham, NC) and positive PCR amplification of the nuc and MecA genes [4].

2.2. Growth conditions

BUSA2288 was grown overnight in 5 ml of Brain Heart Infusion (BHI) broth at 37 °C. The broth culture was inoculated from a single colony grown on a TSA plate. The contents of this overnight culture were added to 45 ml BHI broth resulting in a concentration of approximately 1 × 108 CFU/ml as measured by colony counts. 1 ml aliquots of this diluted overnight culture was transferred to each well of two BD Falcon™ non-treated 24-well plates. The control plate, labeled No Light (NL), was covered and protected from light, and the treatment plate, labeled Blue Light (BL), was illuminated. Both plates were incubated with shaking at 35 °C for 2 h.

2.3. Light source

The illumination box was designed and constructed in house. Twenty-four 1.5 mm Kingbright blue LED lights were attached to a 24-well plate lid. The lights were arranged so that when the modified lid was place on a 24-well plate the lights were 0.5 mm above the broth of the individual wells as seen in Fig. 1. The LED lights are CIE 127 compliant with a dominant wavelength of 465 nm and a 2θ 1/2 of 16° [1] The lights were operated at a forward current of 20 mA for 2 h resulting in a total light dosage per well of 250 J/cm2. The resistors were placed away from the light box so as to not increase the temperature inside of the incubator.

Fig. 1.

Fig. 1

Blue light box. The light box was built in house using Kingbright LED lights and an adjustable power supply [1].

2.4. RNA extraction and mRNA enrichment

Total RNA was extracted from the NL control and BL treatment samples using a modified phenol chloroform extraction method as follows. The culture was removed from 24 wells and centrifuged. The pelleted cells were resuspended in RNAse free water and incubated with an equal volume of 1:1 phenol/chloroform (~ 250 μl each). After a 30 min incubation at 70 °C, the phases were separated by centrifugation at 12,000 × g for 10 min. The aqueous layer was removed (~ 200 μl) and 2x the volume of isopropanol was added followed by refrigerated centrifugation at 12,000 × g for 10 min. The RNA pelleted was washed with 200 μl of cold 70% ethanol and centrifuged at 8000 × g for 10 min. The pellet was dried in the inverted tube at room temperature for 10 min and resuspended in 95 °C Elution Buffer Solution (Ambion). Both samples were treated with DNAse Inactivation Reagent (Ambion). The mRNA was enriched following the protocols provided with the MICROBExpress Bacterial mRNA Enrichment Kit (Ambion). This procedure uses a capture hybridization by magnetic beads to remove 16S and 23S ribosomal RNAs. The purity and concentration of the total and enriched RNA samples were analyzed by gel electrophoresis and by an Agilent Bioanalyzer. Complementary DNA libraries were built and sequenced using the Illumina MiSeq Next Generation Sequencer at the University of Oklahoma Health Science Center's lab for Molecular Biology and Cytometry Research.

2.5. RNA-seq data analysis

Two independent experiments were performed and sequenced. Whole genome sequencing has not been performed on BUSA2288, so in order to determine which reference genomes to use for alignment we performed an alignment using BLAST and determined the two closest related reference genomes. High quality reads were then aligned to the genomes of MRSA252 (NC_002952) and N315 (NC_002745), in order to create a transcriptome map.

In one analysis, the combined results of both independent experiments were analyzed using the Pairwise Analysis tools in Gene Sifter® [3]. The genes were normalized by Mapped Reads using EdgeR statistics including a Benjamini and Hochberg false discovery rate correction. The Quality was set at a minimum number of 10 reads and the lower threshold for change was 5 fold, with a p-value of 0.05 or less. These criteria produced a list of 32 up or down regulated genes as shown in Table 1.

Table 1.

Differentially regulated genes.

Functional category and gene gene MRSA252 Locus n-fold change P-value
1. Biosynthesis of amino acids
aspartate semialdehyde dehydrogenase asd SAR1406 − 5.54 4.41E-03
aspartate kinase lysC SAR1405 − 5.3 7.70E-03
2. Cell envelope components
sortase srtB SAR1108 5.03 9.45E-03
3. Cellular processes
serine protease splC SAR1906 7.45 1.49E-02
4. Central intermediary metabolism
 Nitrate reductase subunit alpha narG SAR2486 − 5.88 5.96E-03
 Nitrate reductase subunit beta narH SAR2485 − 5.88 5.96E-03
 Nitrate reductase gamma chain NarI SAR2483 − 5.88 5.96E-03
 Respiratory nitrate reductase delta chain narJ SAR2484 − 5.88 5.96E-03
 Small heat shock protein narK SAR2475 − 9.24 1.25E-03
 Nitrite transport protein narT SAR2476 − 9.24 1.44E-03
 Nitrite reductase large subunit nasD SAR2489 − 5.46 2.50E-02
 Assimilatory nitrite reductase small subunit nasE SAR2488 − 6.15 1.20E-02
 Tetrapyrrole (corrin/porphyrin) methylase nasF SAR2487 − 6.15 1.20E-02
5. Energy metabolism
 Azoreductase acpD SAR0203 28.06 1.79E-02
 Dioxygenase PcpA_N_like SAR2599 18.32 1.14E-02
6. Protein synthesis
 Aminoacyl-tRNA biosynthesis tRNA-Asp SARt023 − 10.13 4.01E-02
7. Regulatory function
 Accessory gene regulator B agrB SAR2123 − 8.03 5.29E-04
 Nitrogen regulatory protein A nreB SAR2482 − 5.56 1.38E-02
 Response regulator nreC SAR2480 − 5.68 3.52E-02
 Dissimilatory nitrate/nitrite reduction) two-component regulatory system NreB-NreC SAR2481 − 5.88 2.24E-02
 RNAIII regulatory transcript/delta haemolysin RNAIII SARs022 − 9.88 2.38E-04
8. conserved protein, unknown function Pfam prediction
 Hypothetical protein SepA SAR2259 − 8.38 3.47E-05
 Hypothetical protein YceI-like SAR2769 11.74 3.47E-02
 Hypothetical protein CbiX, CbiK, DUF3928 SAR2490 − 7.13 9.08E-03
 Hypothetical protein Pig-F GPI biosynthesis SAR0742 − 5.64 1.13E-02
 Hypothetical protein Trep-Strep SAR1005 − 5.76 3.68E-03
 Hypothetical protein DoxX, DoxX_2 SAR1010 − 5.64 9.06E-03
 Hypothetical protein bPH_5 SA2264 − 7.11 1.77E-03
 Hypothetical protein DUF5080, HRG SAR0291 − 6.24 3.48E-04
 Hypothetical protein DUF4293, RTA1, Serinc SAR0292 − 6.31 5.52E-03
 Hypothetical protein Ycf1 SAR2683 − 5.7 5.96E-03
 Hypothetical protein Putative membrane protein SAR0455 − 5.51 4.12E-02

2.6. Conclusions

One hypothesis regarding the mechanism of blue light inhibition is that the interaction of blue light with intracellular or membrane bound molecules, results in production of reactive oxygen species and cell death [2]. This data indicates that there is a genetic response to the blue light involving the oxidative stress pathways. Whether this is a specific or general response is an important question to explore, since polymorphism exists at many of these alleles. This data provides a starting point for further exploration. It is possible that a small molecule acting to up or down regulate one or more of these pathways may provide a new antimicrobial. The raw data files for the RNA-seq experiment are deposited in the GEO, Gene accession GSE62055.

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Acknowledgements

This study was supported in part by funds from the Baylor University Research Committee and the Vice Provost for Research at Baylor University.

Footnotes

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