Abstract
Nontypeable Haemophilus influenzae (NTHi) are Gram-negative commensal bacteria that reside in the nasopharynx. NTHi can also cause multiple upper and lower respiratory tract diseases that include sinusitis, conjunctivitis, bronchitis, and otitis media. In numerous bacterial species the ferric uptake regulator (Fur) acts as a global regulator of iron homeostasis by negatively regulating the expression of iron uptake systems. However in NTHi strain 86-028NP and numerous other bacterial species there are multiple instances where Fur positively affects gene expression. It is known that many instances of positive regulation by Fur occur indirectly through a small RNA intermediate. However, no examples of small RNAs have been described in NTHi. Therefore we used RNA-Seq analysis to analyze the transcriptome of NTHi strain 86-028NPrpsL and an isogenic 86-028NPrpsLΔfur strain to identify Fur-regulated intergenic transcripts. From this analysis we identified HrrF, the first small RNA described in any Haemophilus species. Orthologues of this small RNA exist only among other Pasteurellaceae. Our analysis showed that HrrF is maximally expressed when iron levels are low. Additionally, Fur was shown to bind upstream of the hrrF promoter. RNA-Seq analysis was used to identify targets of HrrF which include genes whose products are involved in molybdate uptake, deoxyribonucleotide synthesis, and amino acid biosynthesis. The stability of HrrF is not dependent on the RNA chaperone Hfq. This study is the first step in an effort to investigate the role small RNAs play in altering gene expression in response to iron limitation in NTHi.
Introduction
Bacteria experience numerous types of stress during their growth. Environmental stressors range from nutrient availability, changes in pH, temperature variations, redox fluctuations, and osmolarity changes. However, bacteria have developed responses that alter their gene expression in order to cope with the many stresses encountered [1]. Understanding the gene expression changes bacteria undergo in response to environmental stresses, particularly the changes in gene expression undergone by pathogens, can lead to the identification of therapeutic targets that may prevent or treat disease.
The majority of stress responses occur at the transcriptional and post-transcriptional level. The main form of transcriptional regulation occurs through the use of specific sigma factors that alter RNA polymerase promoter specificity [2]. Gram-negative and Gram-positive bacteria utilize sigmaS and sigmaB, respectively, as part of the general stress response to cope with entry into stationary phase [3], [4], [5]. In response to envelope stress Gram-negative bacteria utilize sigmaE to regulate the expression of proteins involved in the degradation and/or refolding of misfolded proteins in the periplasm [6], [7].
In addition to the use of sigma factors, bacteria have evolved regulatory networks that use DNA-binding transcription factors that respond to specific stresses. In numerous bacteria, iron stress is controlled by the ferric uptake regulator (Fur) [8], [9]. In the presence of its corepressor Fe(II), Fur binds to a conserved sequence of DNA designated as the Fur box and blocks transcription of target genes. However, Fur also positively affects gene expression. Fur can directly bind DNA and activate gene expression in certain bacterial species [10]. However, most examples of positive gene regulation by Fur are indirect and mediated through a small regulatory RNA (sRNA) [11], [12].
The most studied Fur-regulated sRNA is RyhB from Escherichia coli [13]. Under high iron conditions Fur and its corepressor Fe(II) bind to a Fur box located in the ryhB promoter and so blocks RyhB's transcription. Conversely, during low iron conditions, Fur does not bind the ryhB Fur box and so allows transcription of RyhB. In certain cases RyhB positively regulates gene expression by disrupting target mRNA secondary structure, thus allowing translation to occur, for example shiA in E. coli [11], [14], [15]. However, most examples of RyhB regulation described to date depend on RyhB base pairing with its RNA target followed by the degradation of both the target mRNA and RyhB itself [16]. Thus, through negative regulation by RyhB, Fur acts indirectly to positively affect gene expression. RyhB orthologues have been identified in several species of related enteric pathogens including Shigella, Salmonella, Yersinia, and Klebsiella [17], [18], [19], [20], [21], [22]. RyhB orthologues have also been identified in non-enteric species, for example Pseudomonas aeruginosa, Vibrio cholera, Neisseria meningitidis, Neisseria gonorrhoeae, and Azotobacter vinelandii [23], [24], [25], [26], [27], [28]. Although numerous bacterial species contain Fur orthologues, Fur-regulated sRNAs have not been identified in all bacteria that contain Fur.
Nontypeable Haemophilus influenzae (NTHi) is a Gram negative commensal residing in the nasopharynx. However, when NTHi gains access to niches outside of the nasopharynx, it exists as a pathogen [29], [30]. For example, in the middle ear NTHi it is a major cause of otitis media (OM). Previous studies have shown that NTHi upregulates expression of iron uptake systems in the middle ear, indicating that the middle ear environment is relatively iron and/or heme-poor. [31], [32], [33]. This iron and/or heme restricted environment requires NTHi to quickly adapt in order to survive [29].
Because Fur-regulated sRNAs have been shown to play an important role in iron homeostasis in other bacteria we investigated whether NTHi encoded Fur-regulated sRNAs. Furthermore, we wanted to know how Fur-regulated sRNAs in NTHi influence gene regulation. To accomplish our goals we first generated a fur mutation in NTHi strain 86-028NPrpsL and used RNA-Seq to analyze the entire transcriptome of both the 86-028NPrpsL and 86-028NPrpsLΔfur strains. We searched for intergenic transcripts whose expression increased in the absence of Fur. From this analysis we identified a single Fur-regulated and iron-responsive ∼97nt sRNA that we designated hrrF which is conserved among the Pasteurellaceae. Moreover, in strain NTHi 86-028NP and closely related NTHi strains, there is a minor hrrF transcript which contains an extended 3′ region resulting in a transcript of ∼260nt designated hrrFL. An hrrF deletion was generated in a strain containing a fur mutation to generate NTHi 86-028NPrpsLΔfurΔhrrFL. RNA-Seq was used to identify transcripts whose abundance was responsive to the presence or absence of HrrF. We identified six transcripts whose abundance was altered when hrrF was deleted in the fur mutant background which indicated that hrrF targets these mRNAs. An additional study demonstrated that the stability of HrrF was independent of the presence or absence of Hfq.
OM is the most frequently diagnosed illness in children in the United States [34]. As such it is the number one cause for antibiotic prescription among this patient population [34]. This is of great concern due to the possibility of the emergence of antibiotic resistant strains of bacteria. Therefore is it imperative that we find ways to prevent NTHi disease. Understanding how NTHi fine-tune their gene expression during low iron conditions via sRNAs will enhance our understanding of the survival strategies during this stress condition with the potential to identify new therapeutic targets for disease treatment and prevention.
Methods
Bacterial strains, culture media used, and growth conditions
Strains and plasmids used in this study are listed in Table S1. NTHi strain 86-028NP was isolated from the nasopharynx of a child with chronic OM [35] and is well characterized in vitro and in vivo in the chinchilla model of OM [29], [35], [36], [37]. The genome sequence is published [38]. For routine culturing, strains were grown on Chocolate II agar plates (Fisher Scientific, Waltham, MA) or on chocolate agar plates containing antibiotics as needed. The final antibiotic concentrations employed were 200 µg spectinomycin/ml, 20 µg kanamycin/ml, or 1000 µg streptomycin/ml. For routine liquid culture, strains were grown in brain heart infusion medium supplemented with 2 µg heme/ml and 2 µg β-Nicotinamide adenine dinucleotide/ml (sBHI). Except where indicated, RNA-Seq experiments and experiments in which iron concentrations were manipulated were performed in an iron-depleted, defined iron source medium (DIS), a modification of defined growth media designed by Hasen et al. and Coleman et al. [31], [39], [40]. Cells were iron-depleted for approximately 13 hours of static growth in DIS at 37°C, 5% CO2. Iron-depleted cells were then transferred to DIS supplemented with 10 µg human hemoglobin/ml and grown to mid-logarithmic phase at 37°C, with shaking at 50 rpm. For iron chelation studies, cells were then split into two aliquots and 2,2′-bipyridine was added to one aliquot to a final concentration of 500 µM. After 15 minutes of growth at 37°C with shaking at 50rpm, cells were removed for RNA isolation. Where indicated, iron sulfate was then added to cultures at a final concentration of 200 µM. Cells were removed for RNA isolation at 0, 5, 10, and 20 minutes after iron sulfate addition. To determine that iron chelation had no effect on cell viability, cells were also removed from each aliquot, serially diluted, and enumerated on chocolate II agar plates. For RNA stability studies, after growth to mid-logarithmic phase in DIS, cells were then split in two and rifampicin was added to a final concentration of 250 µM. Growth was continued at 37°C with shaking at 50rpm. At 0, 2, 4, 6, 10, 20, and 30 minutes after rifampicin addition cells were removed for RNA isolation.
Construction of nonpolar deletion mutations in strain 86-028NPrpsL protein-encoding genes
Mutant strains were generated in the strain 86-028NPrpsL background using the method of Carruthers et al [37], [41], [42]. Mutants were selected on medium containing spectinomycin. The spectinomycin antibiotic resistance cassette was subsequently removed by the activity of the Flp recombinase. After removal of the spectinomycin resistance cassette additional mutations were generated in the desired genetic backgrounds using the same methodology. Primers used in mutant generation are listed in Table S2.
Construction of strains with deletions in the hrrF coding region
Mutations in the hrrF region were generated as above with the following exceptions. Three hundred and twenty base pairs of the intergenic region containing hrrFL starting seven base pairs downstream of the NTHI1320 (pmbA) stop codon were deleted to generate the 86-028NPrpsLΔhrrFL strain. The HrrF region in strain 86-028NP has an extended 3′ region not found in the HrrF region of the genomes of many members of the Pasteurellaceae. In order to determine the significance of this 3′ extension, we generated a strain lacking the extended 3′ region. Primers ES252 and ES254 were used to amplify the pGEM-T Easy-hrrFL construct excluding the 3′ portion of hrrFL. The resulting PCR product was phosphorylated using the End-It DNA Repair kit (Epicentre, Madison, WI) and self-ligated followed by transformation into E. coli DH5α. The resulting plasmid, pGEM-T Easy-ΔhrrF3′, maintained the 1kb of flanking DNA sequence and so was linearized and naturally transformed via the MIV method [43] into 86-028NPrpsLΔhrrFL::spec-rpsL. Recombination of the ΔhrrF3′ construct into this strain resulted in the loss of the spec-rpsL cassette. Transformants were selected for growth on streptomycin. Primers used in hrrFL and hrrF3′ mutant constructions are listed in Table S2.
Construction of complemented mutant strains
Construction of pT-fur was described previously [44]. To construct pT-hfq the coding sequence of hfq was PCR amplified with primers that generated an NdeI site 5′ of hfq and a BamHI site 3′ of hfq. The resulting PCR product was then cloned between the NdeI and BamHI sites in pT. pT-hfq was then electroporated into strain 86-028NPrpsLΔhfq. Primers used to construct complementation plasmids are listed in Table S2. Expression of Hfq from pT-hfq was verified via western blot using anti-E. coli Hfq antibody (a kind gift from Gisela Storz).
RNA isolation and rRNA removal
Strain 86-028NPrpsL was grown in sBHI at 37°C, with shaking at 180rpm. Alternatively, strains were grown in DIS supplemented with 10 µg human hemoglobin/ml. At mid-logarithmic phase, cells were collected for RNA-isolation. Total RNA was isolated via the hot phenol method as previously described [45] with one exception. The culture-phenol mixture was heated at 90°C for 10 minutes in order to merge the two phases. rRNA was removed using the Ribo-Zero kit (Gram negative) (Epicentre, Madison, WI) following the manufacturer's protocol. RNA integrity and rRNA removal were confirmed with an RNA Nano Chip on the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA).
Preparation of RNA-Seq libraries and sequencing
cDNA library construction was carried out using the TruSeq RNA Sample Prep Kit (Illumina, San Diego, CA) according to manufacturer's protocols. The final DNA libraries were validated with the Agilent 2100 Bioanalyzer using the Agilent High Sensitivity DNA Kit. The library concentrations were determined by Q-PCR using KAPA SYBR Fast qPCR kit (Kapa Biosystems, Wilmington, MA). The libraries generated from NTHi 86-028NPrpsL grown in sBHI as well as the first biological replicate of strains 86-028NPrpsL, 86-028NPrpsLΔfur, and 86-028NPrpsLΔfur(pT-fur) were then run on a Single End flowcell on the HiSeq 2000 (Illumina) and 51bp reads were generated. Biological replicates two and three of strains 86-028NPrpsL, 86-028NPrpsLΔfur, and 86-028NPrpsLΔfur(pT-fur) were run on Paired End flowcells, using 2×101bp reads. The second RNA-Seq experiment containing cDNA libraries generated from strains 86-028NPrpsL, 86-028NPrpsLΔfur, 86-028NPrpsLΔfurΔhrrFL, and 86-028NPrpsLΔfurΔhrrF3′ were run on the HiSeq 2000 (Illumina) on Paired End flowcells, using 2×101bp reads.
Sequence mapping and quantification of transcript levels
The sequenced reads from the RNA-Seq experiment of the library of sBHI-grown cells were mapped to the NTHi strain 86-028NP genome (NC_007146) using Burrows-Wheeler Aligner (BWA version 0.5.10). The resulting bam file is available on the Sequence Read Archive (SRA) [SRP042147]. Subsequent to our initial RNA-Seq experiment all regions of intergenic expression were annotated (Table S3). From this analysis a BED file was generated from which all future RNA-Seq experiments were aligned using BWA, version 0.78, allowing up to 2 mismatches for read lengths of 50bp or 4 mismatches for read lengths of 100bp. The resulting bam files from the RNA-Seq analysis of 86-028NPrpsL, 86-028NPrpsLΔfur, and 86-028NPrpsLΔfur(pT-fur) strains are available on SRA (SRP042197). Reads with multiple best hits were reported with only one mapping location. On average, 95% of the total reads were mappable. The total number of reads corresponding to each annotated region was determined with NGSUtils software (version 0.5.5) [46]. Differential gene expression analysis across different strains was conducted using the Bioconductor package edgeR [47]. Batch effects among biological replicates were accounted for during analysis. The differential gene expression analysis data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus (GEO) [48] and are accessible through GEO Series accession number GSE8891.
Primer Extension
Primer ES188 was labeled with a VIC fluorescent tag and used to generate 1st strand cDNA from total RNA. Five micrograms of total RNA and 100pmol of ES188 were mixed in a total volume of 30 µl and denatured at 90°C for three minutes then slow cooled to 30°C. Six microliters 0.1M DTT, four microliters Superscript II (Invitrogen, Grand Island, NY), 12 µl 1st strand buffer, 1.5 µl 25mM dNTP (Invitrogen, Grand Island, NY), two microliters RNasin (Ambion, Grand Island, NY), and 0.5 µl RNase free H2O were then added. The mixture was incubated at 42°C for 2 hours to generate cDNA. RNA was degraded by adding 10 µl 1M NaOH and heating at 70°C for 10 minutes. Ten microliters of 1M HCl was then added to neutralize the reaction. The cDNA was purified using the MinElute PCR Purification Kit (Qiagen, Valencia, CA). Primer extension analysis was performed at the Plant-Microbe Genomics Facility at The Ohio State University (www.pmgf.osu.edu).
5′ rapid amplification of cDNA ends (RACE) analysis
A unique 50bp sequence not present in the NTHi 86-028NP genome was amplified from pLS88 using primers ES133 and ES160 for use in in vitro transcription [49]. The resulting PCR product was purified using phenol-chloroform extraction. The 50bp DNA template was used in an in vitro transcription reaction with T7 RNA polymerase (New England Biolabs, Ipswich, MA) to generate the RNA adapter according to the manufacturer's protocol. The resulting in vitro transcribed RNA was purified by acid phenol-chloroform extraction. Treatment of RNA with Tobacco Acid Phosphatase (Epicentre, Madison, WI), RNA ligation of RNA adapter, 1st strand cDNA synthesis with ES168, 2nd strand cDNA synthesis with ES168 and ES172, and cloning of cDNA were all conducted according to the protocol of Argaman et al. [50].
Northern Blot Analyses
Northern blots were performed using the DIG Northern Blot Starter Kit (Roche, Indianapolis, IN). The RNA probes were generated using T7 RNA polymerase from the DIG RNA Labeling Kit (Roche, Indianapolis, IN) and the DNA template generated from primers ES173 and ES174 (hrrF) or ES89 and ES90 (5S rRNA). Northern blots were developed using CDP-Star ready-to-use solution (Roche, Indianapolis, IN).
RNA half-life calculation
Strains were grown as stated for the RNA stability studies. Total RNA ranging from 75ng to 1000ng was probed on the same blots used for probing RNA collected after the addition of rifampicin to determine the dynamic range of the densitometer. Densitometry and half-life calculation was performed on a GS-800 Calibrated Densitometer (Bio-Rad, Hercules, CA).
Fur pull-down assay
The Fur pull-down assay was performed as previously described [44]. Biotin labeled oligonucleotides containing the putative Fur box sequences were generated using biotin labeled primers as listed in Table S2. These putative Fur box sequences were then scrambled using an automated sequence mixer (http://molbiol.ru/eng/scripts/01_16.html) originally part of the Sequence Manipulation Suite curated by P. Stothard [51]. After scrambling the putative Fur box sequences, the resulting oligonucleotide sequences were checked via Virtual Footprint [52] to ensure a putative Fur box had not been generated. Overlap extension PCR [53] using PCR1 and PCR2 (Table S2) was then used to generate a biotin-labeled oligonucleotide containing the scrambled Fur box sequence.
Construction of strains containing scrambled Fur boxes 5′ of hrrF in the 86-028NPrpsL genome
Three predicted Fur boxes upstream of hrrF were individually scrambled using an automated sequence mixer (http://molbiol.ru/eng/scripts/01_16.html). All three Fur boxes were also simultaneously scrambled. Overlap extension PCR [53] using primers listed in Table S2 were used to generate DNA fragments containing the scrambled Fur box with 1kb of flanking DNA. The resulting PCR products were transformed into 86-028NPrpsLΔhrrFL::spec-rpsL using the MIV method [43], thus reintroducing hrrF back into the genome with the corresponding scrambled Fur box. Removal of the spec-rpsL cassette by MIV transformation of PCR products containing scrambled Fur boxes restored streptomycin resistance, allowing for selection of transformants.
qRT-PCR
qRT-PCR was performed as described in Harrison et al. [44].
Results
RNA-Seq identification of intergenic transcription in NTHi strain 86-028NPrpsL
Trans-encoded small regulatory RNAs in bacteria are generally transcribed from intergenic regions throughout the genome [54]. In order to survey these regions of intergenic transcription in NTHi strain 86-028NPrpsL we performed deep sequencing of a cDNA library generated from RNA depleted of ribosomal RNA. This RNA-Seq experiment was conducted as an initial screen to identify all potential sRNAs expressed in 86-028NP during mid-logarithmic growth in sBHI medium. In total there were 166,106,713 aligned reads accounting for 95.6% of the total reads. Using the Integrated Genomics Viewer [55], [56], we identified 86 regions of intergenic transcription and 16 regions of potential antisense transcription. In addition to intergenic transcription there were ∼50 instances of extended 5′ and 3′ UTRs.
From our initial analysis, a BED file was generated which included all annotations contained in strain 86-028NP's original genome annotation [38] plus coordinates for every region of intergenic and antisense transcription identified via RNA-Seq. This new BED file was used for all subsequent RNA-Seq alignments. A spreadsheet containing all gene annotations and all coordinates of intergenic transcription are available in Table S3.
Identification of a Fur-regulated sRNA
To identify Fur-regulated sRNAs we constructed an unmarked non-polar deletion of fur in the NTHi 86-028NPrpsL background. We then complemented the fur mutation with pT-fur [44], which contains the fur open reading frame downstream of the tet promoter in plasmid pT to generate strain 86-028NPrpsLΔfur(pT-fur). This and future RNA-Seq experiments utilized strains grown in DIS medium to ensure the concentration and source of iron/heme was defined. Total RNA was collected from the NTHi strains 86-028NPrpsL, 86-028NPrpsLΔfur, and 86-028NPrpsLΔfur(pT-fur). cDNA libraries were then sequenced on the Illumina HiSeq 2000 platform.
An increase in transcription from the intergenic region between NTHI1320 (pmbA, encoding a predicted protease) and NTHI1321 (hpt, encoding hypoxanthine-guanine phosphoribosyltransferase) was observed in the 86-028NPΔfur mutant compared to the parent (Fig. 1). This increase in the amount of transcript in the fur mutant strain was reversed when the fur mutation was complemented. The increased amount of transcript in the 86-028NPrpsLΔfur strain compared to the parent strain was confirmed by qRT-PCR (Fig. S1).
There are two putative Rho-independent terminators in the intergenic region between pmbA and hpt. The sequence of the 23nt stem-loops are identical except for a “C” to “T” change at nucleotide 22 of the first stem-loop structure (Fig. 1). The only transcriptional start site (TSS) located in the pmbA-hpt intergenic space was identified 5′ to the first terminator via primer extension; a fluorescently labeled cDNA product was compared to a DNA sequencing reaction to determine the last base of the cDNA oligonucleotide (Fig. S2). This base is located 63bp downstream of the pmbA stop codon (Fig. 1). 5′ RACE was also used to identify the TSS. By 5′RACE, the TSS is located 65bp downstream of the pmbA stop codon, which is in good agreement with the TSS determined by primer extension.
The transcript located in the intergenic space between pmbA and hpt beginning at the TSS and terminating at the first Rho-independent terminator has been named hrrF, for Haemophilus regulatory RNA responsive to iron (Fe). A second product corresponding to the region from the same TSS to the second terminator was designated hrrF L. No other putative sRNA identified in this study demonstrated Fur-dependent regulation.
HrrF is conserved among Pasteurellaceae
The ∼260nt sequence that encompassed the hrrF L region was used in BLAST analysis. There was no sequence similarity to RyhB, PrrF, or NrrF, the iron-responsive sRNAs from E. coli, P. aeruginosa, and Neisseria respectively. There was however, strong sequence conservation of HrrF within the Pasteurellaceae (Fig. 2, Fig. S4). For all instances where an hrrF orthologue could be identified, a putative Fur box was found via Virtual Footprint [52] analysis upstream of and in close proximity to hrrF. Most organisms contained an HrrF orthologue of ∼97bp while some of the distantly related Pasteurellaceae had an orthologue of ∼126nt. Next, from the representative Pasteurellaceae orthologues of hrrF we selected, the entire intergenic region between pmbA and hpt was aligned using CLUSTALW. The genomic organization of hrrF is also well conserved among the Pasteurellaceae. The one exception among the selected Pasteurellaceae is in H. influenzae biogroup aegyptius F3031 (HAE). This region is more complex with the hafABCDE gene cluster (formerly hif1 locus, required for the formation of hemagluttinating pili) immediately downstream of hrrF and 5′ to hpt. The alignment of hrrF among the selected Pasteurellaceae is shown in Figure 2. An outline of the sequence alignment for the entire intergenic region containing hrrF of the selected Pasteurellaceae species is presented in Figure S3. The full alignment of the intergenic region between pmbA and hpt is shown in Fig. S4. As many strains do not have the 3′ portion of the ∼260nt region of hrrF present in strain 86-028NP and due to functional data presented later, we have defined the hrrF gene as the sequences between the TSS and the end of the first putative transcriptional terminator. Reference to the ∼260nt HrrF transcript present in strain 86-028NP will be referred to as hrrFL.
HrrF expression is dependent on iron concentration
In order to confirm our RNA-Seq data we performed northern blot analysis using an RNA probe specific to HrrF. Strains used in northern blot were first grown in DIS and total RNA was collected for further analysis. When strain 86-028NPrpsL was grown in iron replete medium, low levels of HrrF transcripts were detected. However, when the 86-028NPrpsLΔfur mutant strain was grown under the same conditions, the amount of HrrF greatly increased (Fig. 3A). The ∼260nt HrrFL transcript could only be detected when Fur repression was relieved. qRT-PCR analysis of hrrF expression confirmed that HrrF transcript increased ∼80-fold in the 86-028NPrpsLΔfur strain when compared to the parent strain (Fig. S1). To confirm the specificity of the HrrF RNA probe, hrrFL was deleted in the 86-028NPrpsLΔfur mutant background to generate an 86-028NPrpsLΔfurΔhrrFL double mutant. No hrrF transcript was detected in this strain confirming the RNA probe's specificity (Fig. 3A).
The increased abundance of HrrF transcript in the 86-028NPrpsLΔfur strain compared to the parent showed that HrrF expression was Fur-regulated and therefore likely dependent on intracellular iron levels. Previous analysis of strain 86-028NP gene expression demonstrated that known Fur-regulated genes are activated in response to iron chelation [44]. Therefore, in order to confirm HrrF dependence on iron levels we grew strains 86-028NPrpsL and 86-028NPrpsLΔhrrFL in DIS followed by iron chelation. As predicted, HrrF transcript levels increased after iron chelation. As with the northern analysis of the fur mutant, HrrFL could only be detected when Fur repression was relieved by addition of an iron chelator (Fig. 3B).
To confirm that increases in HrrF transcript after chelation with 2,2′-bipyridine were indeed due to chelation of iron specifically, we grew 86-028NPrpsL in DIS chelated with 2,2′-bipyridine. HrrF levels were greatly increased by chelation with 2,2′-bipyridine. After 15 minutes of chelation, FeSO4 was added to the chelated cultures to investigate the effect that excess iron addition had on hrrF expression. After addition of FeSO4, HrrF transcript levels decreased over time as determined by northern blot (Fig. 3C). This result confirmed that hrrF expression is indeed responsive to iron levels.
Fur binds upstream of HrrF
The data presented thus far, have indicated that hrrF expression is Fur-regulated and is responsive to iron levels. Virtual Footprint [52] identified three putative Fur boxes that lay within a 41bp region upstream of the hrrF TSS (Fig. 4A). All three Fur boxes had strong homology to strain 86-028NP's consensus Fur box [44]. Previously, we demonstrated via a Fur pull-down strategy that in strain 86-028NP, Fur binds to the promoter regions of known Fur-regulated genes [44]. Therefore, we again used a Fur pull-down to show that Fur binds to the hrrF promoter.
PCR products were generated using biotin labeled primers that amplified the hrrF promoter region. The biotinylated hrrF promoter region was incubated with cytoplasmic fractions from either 86-028NPrpsLΔfur or 86-028NPrpsLΔfur(pT-fur) followed by incubation with streptavidin-agarose beads. After rigorous washing the bead-associated proteins were then transferred to a nitrocellulose membrane for immunoblot analysis of the pull-down fraction using an anti-Pseudomonas Fur antibody (a kind gift from Michael Vasil). A mock pull-down in which no biotinylated DNA was added to the pull-down reaction served as a negative control for non-specific Fur binding to the streptavidin-agarose beads. Additionally, the biotinylated promoter region for sxy, a promoter known not to contain a Fur box was used as a negative control. Performing the Fur pull-down using the 86-028NPrpsLΔfur strain and its corresponding complemented strain ensured that the protein band detected via immunoblot was indeed Fur.
When the hrrF promoter was present in the assay, Fur binding was enriched as compared to the negative control promoter or the no DNA control (Fig. 4B). The amount of Fur bound to the hrrF promoter was similar to that of Fur bound to the known Fur-regulated gene tbp2. Carpenter et. al demonstrated the binding specificity of Fur in Helicobacter pylori by scrambling the Fur box of Fur-regulated genes [57]. Therefore, to show that Fur binding to the Fur boxes in the hrrF promoter was specific, the pull-down assay was repeated using a biotin labeled promoter region in which the Fur box sequences were scrambled [44], [57]. When the three Fur boxes were scrambled (FB1-3), enrichment of Fur in the pulled-down fraction was lost (Fig. 4B).
To further demonstrate that Fur binds the hrrF promoter at the predicted Fur boxes, we scrambled the predicted Fur boxes upstream of hrrF in the strain 86-028NPrpsL genome. HrrF expression was then assayed via northern blot of RNA from strains grown under iron replete or iron depleted conditions. When the entire 41bp predicted Fur-binding region that begins 11bp downstream of the pmbA stop codon was scrambled (Fur Boxes 1–3), no hrrF transcript could be detected (Fig. 4C). Similarly, when the predicted Fur box closest to the hrrF TSS (Fur box 3) was scrambled, hrrF transcription was nearly abolished. However, altering the Fur box 3 sequence increased the size of the detected HrrF transcript by ∼20nt. It's possible that scrambling the Fur box 3 sequence artificially altered the promoter region of hrrF resulting in an altered TSS. Fur box 2 is predicted to be 3′ of Fur box 1 but overlaps Fur box 1 by 13bp. When Fur box 2 was scrambled, hrrF transcription was reduced but not abolished completely (Fig. 4C). Finally, when the most 5′ Fur box (Fur box 1) was scrambled, transcription of HrrF occurred at parental levels during both iron replete (compare lanes 2 and 4), and iron restricted conditions (compare lanes 1 and 3). This result further supports our hypothesis that HrrF is Fur-regulated. In addition, Fig. 4C clearly showed that Fur was not able to bind to the scrambled Fur binding site present at Fur box 1.
HrrF stability and half-life are not dependent on Hfq
In numerous bacteria Hfq acts as an RNA chaperone involved in a majority of sRNA-target interactions [58], [59]. Without Hfq, the stability of many sRNAs are altered [16]. To determine whether steady-state levels of HrrF were dependent on the RNA chaperone Hfq we deleted hfq in the 86-028NPrpsLΔfur background, generating an 86-028NPrpsLΔfurΔhfq strain. Analysis of hrrF transcript levels via northern blot demonstrated that there was no detectable difference in the amount of hrrF transcript produced by the 86-028NPrpsLΔfur and 86-028NPrpsLΔfurΔhfq strains indicating that steady-state levels of HrrF were not dependent on Hfq (Fig. 3A). We further showed that Hfq does not affect steady state transcript levels of HrrF by assessing how iron chelation in the absence of Hfq affected hrrF transcription. After iron chelation, the HrrF transcript level was similarly increased in both the 86-028NPrpsLΔhfq strain and the parent as determined by northern blot analysis (Fig. 3B). Again, HrrF steady-state transcript levels were not dependent on Hfq.
To determine if Hfq has a role in the half-life of HrrF we grew 86-028NPrpsLΔfur(pT), 86-028NPrpsLΔfurΔhfq(pT), and 86-028NPrpLΔfurΔhfq(pT-hfq) in DIS, followed by rifampicin addition to each culture to stop transcription. Culture aliquots were collected at specific intervals up to 30 minutes after rifampicin addition followed by RNA purification then by northern blot analysis using a probe specific for HrrF. HrrF transcript was quantified via densitometry to determine its half-life. The half-life of HrrF was approximately seven minutes in the 86-028NPrpsLΔfur strain. HrrF stability was not significantly altered in the absence of Hfq. Therefore, Hfq is not required for HrrF stability in NTHi strain 86-028NPrpsL (Fig. 5).
HrrF target identification
RNA-Seq was performed using total RNA collected from strains 86-028NPrpsL, 86-028NPrpsLΔfur and 86-028NPrpsLΔfurΔhrrFL grown in DIS media. Comparison of the gene expression between the 86-028NPrpsLΔfur and 86-028NPrpsLΔfurΔhrrFL strains analyzed by RNA-Seq revealed that HrrF affects expression of six genes; modA, modB, modC, asnA, asnC, and nrdB (Table S4, GEO Series number GSE58891). The modABC locus, which encodes proteins involved in molybdate uptake, is downregulated by HrrF. In addition, HrrF positively affects gene expression of asnA, asnC, and nrdB encoding asparagine synthetase, the transcriptional regulator affecting asnA transcription, and the beta subunit of ribonucleotide-diphosphate reductase respectively (Table 1).
Table 1. HrrF targets identified via RNA-Seq.
Fold Change | |||||
NTHI no. | Gene | Function | ΔfurΔhrrFLΔfur | Δfur86rpsL | ΔfurΔhrrF3'Δfur |
NTHI2000 | modA | molybdate-binding periplasmic protein | 6.43 | −14.08 | −1.45 |
NTHI1999 | modB | molybdate ABC transporter permease protein | 3.14 | −5.30 | −1.06 |
NTHI1998 | modC | molybdate transporter ATP-binding protein | 2.48 | −4.03 | −1.00 |
NTHI0692 | asnA | asparagine synthetase AsnA | −2.43 | 5.75 | 1.04 |
NTHI0691 | asnC | DNA-binding transcriptional regulator AsnC | −2.30 | 3.64 | 1.21 |
NTHI1962 | nrdB | ribonucleotide-diphosphate reductase subunit beta | −2.24 | 3.07 | −1.16 |
The ∼97bp HrrF sRNA is sufficient for activity
The HrrFL transcript was observed at low levels when the hrrF region was maximally expressed (Fig. 3). Also, the 3′ extension of hrrFL is not present in most Pasteurellaceae strains suggesting that the ∼97bp hrrF is sufficient for regulating gene expression. We constructed a strain that lacked the hrrFL 3′ extended region, which deleted sequence between the first and second transcriptional terminators in the 86-028NP hrrF region. This strain was designated 86-028NPrpsLΔfurΔhrrF3′. The strain was grown in DIS and RNA-Seq analysis conducted as previously described. There was no difference in the expression of the six genes whose expression was affected by HrrF when the transcriptomes of 86-028NPrpsLΔfur (expressing the ∼260nt HrrFL) and 86-028NPrpsLΔfurΔhrrF3′ (expressing the ∼97nt HrrF) were compared (Table 1 column 6).
Discussion
Understanding how bacterial pathogens respond to iron limitation has been extensively studied. Yet, for the Pasteurellaceae we know extremely little about how small regulatory RNAs are regulating gene expression and how these sRNAs affect gene expression in response to iron limitation. In this study we identified the single Fur-regulated sRNA in NTHi strain 86-028NPrpsL. Based on sequence similarity, this sRNA appears to be conserved among the Pasteurellaceae.
Identification of hrrF is the first report of an iron-responsive sRNA in any Haemophilus species. However there is a previous report of other iron-responsive sRNAs encoded by a Pasteurellaceae species. Work by Amarasinghe et al. reported the presence of four Fur-regulated sRNAs, JA01 through JA04, in Aggregatibacter actinomycetemcomitans (Aa) strain HK1651R [60]. BLAST analysis of these four sRNAs reveled that JA01 is only conserved among Aa strains. JA02 is present in both Aa and P. multocida. JA03 and JA04 are the most widely conserved of the four sRNAs and have orthologues across many Pasteurellaceae species. However, based on our RNA-Seq analyses, the JA03 and JA04 orthologous RNAs in strain 86-028NPrpsL are not expressed during mid-log growth and are not Fur-regulated. Furthermore, in strain 86-028NPrpsL, the JA03 and JA04 orthologues do not have predicted Fur boxes in close proximity. So while HrrF appears to be the most highly conserved Fur-regulated sRNA among the Pasteurellaceae it appears that some members may possess additional strategies to respond to low iron using sRNAs.
Northern blot analyses revealed the presence of two HrrF variants which are both Fur-regulated and iron-responsive. The variant with the greatest expression, hrrF, is ∼97nt in size, while, hrrFL, the ∼260nt variant is weakly expressed (Fig. 3). This observation is consistent with the presence of two putative Rho-independent terminators within the hrrF region. The first terminator begins 68bp downstream of the hrrF TSS. In the first terminator sequence, a U is present at nucleotide 89 resulting in a G:U wobble pair near the base of the stem. In the second terminator, a C is present at the corresponding position in the stem-loop resulting in a G:C base pair. The presence of U in the first terminator increases the ΔG free energy of the stem helix from -16.3 to -13.6 kcal/mol. This change in free energy may be enough to weaken the first stem-loop enough to allow occasional transcriptional read through and termination at the second stem-loop structure. As noted above, the 3′ extension of hrrFL is only present among a subset of H. influenzae strains and no other Pasteurellaceae. Under our experimental conditions, a mutant lacking sequences 3′ to the first terminator had a fully functional HrrF. It is unclear whether the large product, HrrFL, is advantageous to the bacterium under other conditions or simply not deleterious enough to be selected against and lost.
The importance of the 3′ region of hrrFL in 86-028NP is suggested by the corresponding region in HAE F3031. Strain F3031 contains an insertion of the hafABCDE (formerly hif1) locus between hrrF and hpt. This insertion is hypothesized to have arisen through a duplication event from elsewhere in the F3031 genome that was facilitated by the presence of intergenic dyad sequences thought to be important for the mobility of specific gene loci in Haemophilus influenzae species. [61], [62]. In F3031, the hafABCDE locus is inserted immediately upstream of the orthologous second terminator of hrrF in 86-028NP. Also, the sequence of the second Rho-independent terminator in 86-028NP is identical to the sequence of the first terminator in F3031. Therefore, the strongest terminator (as suggested by the predicted free energy of the stem-loops) appears first in strain F3031 suggesting that although F3031 contains the sequence of the extended hrrFL it may not be transcribed. It's possible that the 3′ extended sequence of the HrrFL transcript present in 86-028NP is not functional and merely the result of genetic rearrangement which occurred in a common ancestor.
The alignments of HrrF among the Pasteurellaceae species (Fig. 2, Fig. S4) demonstrated that the majority of the represented species contained an hrrF sequence of ∼97nt in length. However, the more distantly related Pasteurellaceae, the non-Haemophilus species, contained a slightly longer hrrF sequence of about ∼126nt. The greatest region of sequence identity was within nucleotides 29-64 of HrrF (Fig. 2). The 100% sequence conservation across this region in multiple species suggests its importance in sRNA function.
Both an in vitro Fur pulldown and in vivo Fur box scrambling were employed to show that Fur binds to the hrrF promoter to regulate hrrF transcription. Individually scrambling the three Fur boxes upstream of hrrF demonstrated that Fur binds to and blocks transcription of hrrF at Fur box 1. Altering the sequences of Fur boxes 2 and 3 altered the transcription of hrrF preventing us from determining if Fur was able to bind in these regions.
The HrrF targets identified via RNA-Seq were modA, modB, modC, asnA, asnC, and nrdB. The modABC gene cluster is negatively regulated by HrrF, whereas asnA, asnC, and nrdB are positively affected by HrrF. For all HrrF targets identified, the extended 3′ portion present after the first terminator was dispensible for regulation (Table 1). A comparison of HrrF target regulation between strains 86-028NPrpsLΔfurΔhrrF3′ and 86-028NPrpsLΔfur (containing the full ∼260nt HrrFL) showed no difference in the regulation of HrrF indicating that the shorter ∼97nt HrrF transcript was capable of regulating target mRNAs as effectively as the full length ∼260nt HrrFL transcript.
HrrF positively affected mRNA targets including asnA, asnC, and nrdB. It is unclear why a Fur-regulated sRNA like HrrF would upregulate nrdB. nrdB encodes the beta-subunit of the class Ia ribonucleotide-diphosphate reductase, an enzyme required for deoxyribonucleotide synthesis. This enzyme requires iron for normal function and therefore its upregulation during iron starvation is counterintuitive. H. influenzae encodes both the class Ia and class III ribonucleotide reductases expressed during aerobic or anaerobic conditions respectively [63]. Both of these enzymes require iron for function [63]. Absent from the 86-028NP genome is the class Ib ribonucleotide reductase which uses manganese as a cofactor and thus operates during conditions of iron starvation [38], [63], [64]. In the absence of a manganese-dependent ribonucleotide reductase, continued and elevated expression of nrdB may ensure that any available iron is bound by NrdB, the iron-containing portion of ribonucleotide reductase.
In addition to nrdB, HrrF also positively regulates asnA and asnC. asnC encodes a transcriptional regulator which activates asnA expression in E. coli [65]. asnA encodes asparagine synthetase important for the ammonia-dependent conversion of aspartate to asparagine [66]. Like nrdB, it is puzzling as to why asparagine synthesis would be upregulated during periods of low iron. Because HrrF affects asnC transcript levels, it is possible that positive regulation of asnA via HrrF is indirect and mediated through AsnC.
The modABC genes, encoding an ABC-transporter responsible for molybdate uptake, are negatively regulated by HrrF. (Fig. S5 contains the predicted binding interaction [67] between HrrF and modB.) In an effort to increase intracellular iron pools, numerous bacteria utilize an iron-responsive sRNA to downregulate non-essential iron-containing proteins [68]. This particular method of negative regulation by an iron-responsive sRNA was named iron sparing [14]. Although, HrrF is downregulating modABC expression, this ABC-transporter is not predicted to contain an iron cofactor. Therefore downregulation of modABC does not fit the iron-sparing model. However, molybdenum and iron metabolism are closely linked. Whenever molybdate is utilized as a protein cofactor it is always coordinated by a pterin structure named Moco (molybdate cofactor). The enzymes responsible for the first step in the biosynthesis of this pterin Moco contain iron-sulfur clusters [69]. Additionally, multiple enzymes that require a molybdenum cofactor have an iron component in the form of iron-sulfur clusters or heme [69]. Under conditions of iron limitation these iron-containing molybdoproteins would be non-functional. It is therefore tempting to speculate that downregulation of molybdate uptake during iron limitation is a mechanism to conserve energy. Import of molybdate during iron limitation may be an unproductive use of resources if the iron-containing molybdoproteins do not have the needed iron to function properly.
Lastly, we have shown that the RNA chaperone Hfq is not required for the steady-state stability or the half-life of HrrF. While uncommon, this finding is not unique. In Yersinia pestis, RyhB2 does not require Hfq for its stability [21]. Also in N. meningitidis, NrrF does not require Hfq for its stability [70] nor is Hfq required for the regulation of NrrF targets [70]. However, deletion of hfq in N. meningitidis caused an in vitro growth defect and disrupted the regulation of 45 genes including genes involved in metabolism and nutrient transport [70]. There is no clear link between requiring Hfq for sRNA stability and requiring Hfq for sRNA-mRNA interactions. However, we can draw parallels between the apparent lack for a role of Hfq in NrrF stability and gene regulation and the interactions of Hfq and HrrF in strain 86-028NPrpsL.
There is very limited study on the role of Hfq in NTHi strains. Hempel et al. showed that deleting Hfq in NTHi does not affect its ability to survive osmotic or detergent stresses [71]. Furthermore, an in vitro growth defect could only be observed when NTHi was grown in limited concentrations of human hemoglobin [71]. hfq mutant strains of NTHi exhibited no striking growth defects in vitro. However, in both a chinchilla model of OM or an infant rat model of bacteremia the hfq mutant strains were significantly impaired in persistence when in competition with the parent strains. [71].
Our own observations of the 86-028NPrpsLΔhfq strain confirm the slight growth defect seen by others. We have not found any stress condition in which an hfq mutant strain survives more poorly than its parent strain. Even though there is still no clear role for Hfq in NTHi, Hempel et al. provide evidence suggesting that Hfq may be involved in nutrient acquisition. This is in agreement to what is known about the role Hfq has in gene regulation in N. meningitidis. Combined with our data on HrrF and from what is known for NrrF in N. meningitidis it is possible that in NTHi Hfq is not involved in HrrF-meditated gene regulation.
We have presented evidence of a newly identified Fur-regulated sRNA in NTHi. Furthermore, HrrF is conserved among the Pasteurellaceae. Although some H. influenzae strains contain an extended hrrF sequence, current evidence suggests that only the ∼97nt variant is biologically active. This work serves as the first step in identifying the HrrF regulon. Future work focused on a proteomics approach may expand the list of HrrF targets. Understanding how NTHi regulates its gene expression in response to iron limitation will provide clues as how to better combat this bacteria and prevent disease.
Supporting Information
Acknowledgments
We would like to thank Huachun Zhong and Amy Wetzel for their technical expertise in RNA-Seq. We would also like to thank Michael Vasil and Gisela Storz for supplying us with anti-Fur antibody and anti-Hfq antibody respectively.
Data Availability
The authors confirm that all data underlying the findings are fully available without restriction. All bam files are available from the Sequence Read Archive (NCBI) database (accession numbers SRP042147and SRP042197). Additionally differential gene expression analysis has been uploaded to GEO with series number GSE8891.
Funding Statement
This work was supported by grant R01 A1077897 to RSM from the National Institute of Allergy and Infectious Diseases/National Institutes of Health. EAS was also supported by The Ohio State University College of Medicine Systems in Integrative Biology Training Program and the Dean's Graduate Enrichment Fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The authors confirm that all data underlying the findings are fully available without restriction. All bam files are available from the Sequence Read Archive (NCBI) database (accession numbers SRP042147and SRP042197). Additionally differential gene expression analysis has been uploaded to GEO with series number GSE8891.