The iron/heme regulated genes of Haemophilus influenzae: comparative transcriptional profiling as a tool to define the species core modulon
© Whitby et al; licensee BioMed Central Ltd. 2009
Received: 10 March 2008
Accepted: 07 January 2009
Published: 07 January 2009
Haemophilus influenzae requires heme for aerobic growth and possesses multiple mechanisms to obtain this essential nutrient. Although an understanding of the heme acquisition mechanisms of H. influenzae is emerging, significant gaps in our knowledge remain. Unresolved issues include the identities of all genes exhibiting altered transcription in response to iron and heme availability, the fraction of such genes functioning in iron/heme acquisition, and the heterogeneity of this gene set among clinical isolates. Previously we utilized H. influenzae strain Rd KW20 to demonstrate the utility of transcriptional profiling in defining the genes exhibiting altered transcription in response to environmental iron and heme levels. The current study expands upon those observations by determining the iron/heme modulons of two clinical isolates, the type b isolate 10810 and the nontypeable isolate R2866. These data are used to begin to define the core iron/heme modulon of the species.
Microarray studies were performed to compare gene expression on transition from iron/heme-restricted to iron/heme-replete conditions for each isolate. Of 1820 ORFs on the array corresponding to R2866 genes, 363 were significantly differentially expressed: 233 were maximally transcribed under iron/heme-replete conditions and 130 under iron/heme-restricted conditions. Of the 1883 ORFs representing genes of strain 10810, 353 were significantly differentially transcribed: 150 were preferentially transcribed under iron/heme-replete conditions and 203 under iron/heme-restricted conditions. Comparison of the data sets indicated that 163 genes exhibited similar regulation in both isolates and that 74 of these exhibited similar patterns of regulation in Rd KW20. These comprise the putative core iron/heme modulon.
This study provides evidence for a conserved core of H. influenzae genes the transcription of which is altered by the availability of iron and/or heme in the growth environment. Elucidation of this modulon provides a means to identify genes with unrecognized roles in iron/heme acquisition or homeostasis, unanticipated responsiveness to environmental levels of the micronutrients or potential roles in virulence. Defining these core genes is also of potential importance in identifying targets for therapeutic and vaccine designs since products of these genes are likely to be preferentially expressed during growth in iron/heme restricted sites of the human body.
Haemophilus influenzae is a fastidious, Gram-negative, facultatively anaerobic, opportunistic pathogen, and is found only in man where it is a common commensal in the nasopharynx [1, 2]. H.influenzae is a frequent cause of both invasive and non-invasive diseases including epiglottitis, pneumonia, bacteremia, meningitis, respiratory infections and otitis media (OM) [1, 3–5]. OM due to H. influenzae is principally caused by nontypeable H. influenzae (NTHi) strains , while invasive disease can be caused by either encapsulated or unencapsulated strains. Of the six biochemically and antigenically distinct capsular types (a-f), H. influenzae serotype b (Hib) strains accounted for the vast majority of bacteremia and meningitis cases prior to the introduction of vaccines based on the type b capsule . While such vaccines have nearly eradicated meningitis caused by type b strains in the developed world , they lack effectiveness against other capsular types [7, 8] and against nontypeable strains  which remain a significant public health issue.
H. influenzae has an absolute aerobic growth requirement for heme; since most strains of H. influenzae possess the enzyme ferrochelatase, the requirement is specifically for the immediate heme precursor protoporphyrin IX (PPIX) . In the human host, heme is intracellular in the form of globins or other heme containing proteins, and thus unavailable to invading microorganisms. However, H. influenzae is able to use many potential host derived hemoproteins to satisfy its heme requirements, including hemoglobin, hemoglobin-haptoglobin, myoglobin-haptoglobin, heme-hemopexin, heme-albumin and catalase [11–15]. In addition H. influenzae can grow when supplied with PPIX in the presence of an iron source such as ferri-transferrin [13, 16, 17].
Since iron and heme sources are sequestered within the human host , it is likely that the host microenvironment will result in the increased expression of H. influenzae proteins encoded by genes preferentially transcribed during growth in FeHm-restricted media in vitro. Evidence for this is provided by our previous report of transcription of several H. influenzae FeHm-acquisition associated genes in middle ear effusions from patients with OM . Identification of the FeHm regulated genes in H. influenzae would thus potentially further elucidate the FeHm acquisition pathways as well as identify previously unknown virulence determinants.
We previously reported a microarray based study to identify the FeHm-responsive genes of the sequenced H. influenzae isolate Rd KW20 . Both this previous study, as well as the current one, examine the effect of iron and heme together since it is not currently technically possible to separate the effects of these two molecules on transcription . The previous study identified in excess of 80 genes that were significantly upregulated under FeHm restricted conditions. Many of these genes have been previously studied and been associated with FeHm uptake, utilization and/or homeostasis. Other identified genes had defined roles in metabolism while several additional genes were uncharacterized. However, since the type d parent of Rd KW20 was originally isolated over 60 years ago [26, 27] and has undergone extensive passaging on laboratory media, this isolate is unlikely to be representative of clinically important strains and may even be altered in its regulation of gene expression. Indeed, since Rd KW20 is derived from a type d strain and was selected as a rough derivative following loss of the capsule, at least one major genetic event has occurred since primary isolation [26, 27]. Thus, it is important to examine the FeHm modulons of more representative clinical isolates. Two invasive isolates were selected for further microarray analysis, the serotype b isolate 10810 was from a patient with meningitis  and the NTHi strain R2866 isolated from the blood of an immunocompetent child with clinical signs of meningitis subsequent to acute OM . The primary goal of these studies is to begin to define the core set of genes preferentially transcribed under FeHm limitation in clinically important isolates of H. influenzae and thereby identify potential therapeutic and vaccine targets expressed broadly across the species.
Results and Discussion
Q-PCR Analysis: Derepression of transcription in FeHm restricted media
Q-PCR Analysis: Repression of transcription in FeHm supplemented media
A necessary control experiment provided assurance that the various conditions of FeHm supplementation employed in the previous experiment altered transcription levels in a gene- and effector-specific manner. The ompP2 gene was chosen for this analysis because it was known to be constitutively transcribed and thus not expected to be regulated by FeHm. Consistent with these expectations, ompP2 transcript levels did not differ in cells grown under the same FeHm conditions described in Figure 3 (data not shown). Viable counts showed that cultures grown under these conditions also did not differ (data not shown).
Taken together, the results described above establish that the profiles of growth, transcriptional regulation by FeHm, kinetics of repression and derepression of marker genes known to be FeHm repressible, and specificity of the FeHm effect on transcript levels in the two clinical isolates are highly similar to those previously reported for strain Rd KW20 . These findings permit the use of the same experimental conditions for microarray analysis of the FeHm modulon of strains Hib 10810 and NTHi R2866 that we had successfully used in our genome wide transcriptional analysis of strain Rd KW20.
Microarray analysis of the FeHm modulons of H. influenzae 10810 and R2866
The culture and FeHm supplementation regimen used to obtain paired specimens for microarray analysis was based on the preceding findings. Triplicate cultures of each clinical isolate were prepared and sampled in the following way. Three flasks containing 120 ml FeHm-restricted media were inoculated per isolate. Following a 90 minute incubation under derepressing conditions, a 60 ml sample was removed from each for RNA purification. Immediately following removal of this sample, each flask was supplemented with FeHm (0.5 mM FeCl3,10 μg/ml heme) to establish repressing conditions. After a further 20 minute incubation period under repressing conditions, a second 60 ml sample was removed for RNA purification.
This experimental design based upon the empirically established kinetics of repression of three FeHm-repressible genes, allowed us to use a short validated repression time window of 20 minutes to compare the fully derepressed and repressed states. This short time window over which samples comparing the two conditions were obtained was expected to minimize non-specific/secondary effects of differences in FeHm availability.
Validation of the microarray data
Several genes were selected for analysis by Q-PCR for validation of the microarray data. These Q-PCR analyses were performed on the same RNA samples used for the microarray analysis. Primers used for these analyses are shown in Additional File 4: Primers used for Q-PCR analysis. Genes analyzed included examples of those that were: 1) preferentially expressed under FeHm limitation in both isolates, 2) preferentially expressed under FeHm supplementation in both isolates and 3) those genes that did not exhibit significant fold changes in either isolate. Genes analyzed that were preferentially expressed under FeHm limitation (FeHm-ve) were: HI0017 which encodes formate acetyltransferase, HI0591 encoding ornithine decarboxylase, HI0997m encoding a putative outer membrane protein, HI1349 which encodes a probable DPS ferritin, HI1427 encoding a putative ABC transporter, the transferrin binding protein gene tbp1 (HI0994) and the heme-hemopexin utilization gene hxuC (HI0262). Genes selected for validation that were preferentially expressed under FeHm supplementation (FeHm+ve) were: HI0007 which encodes a putative formate dehydrogenase, HI0185 encoding alcohol dehydrogenase, HI0980 encoding the DNA architectural protein Fis, HI1384 encoding the ferritin subunit A1 and HI1706 which encodes the osmoprotection-related protein BetT. Genes selected for validation which failed to show significant fold change when analyzed by microarray were: HI0502 which encodes RbsG (involved in ribose transport) and HI1368 pqqL, encoding a putative protease.
Array validation by Q-PCR
Confirmation of the core FeHm modulon
Reproducibility of expression of core FeHm stimulon genes
not on †
not on †
not on †
Reproducibility of expression of non-core FeHm stimulon genes
not on †
Additional File 1 shows the correlation of responsive loci in the two strains analyzed in this study and in the previously reported analysis of strain Rd KW20. From this table it is clear that genes exhibiting different regulation between the isolates are coregulated with the rest of that operon within the isolate (where that gene is part of an operon). The fact that there is operonic concordance in each sample set attests to the utility of the novel multi-genome chip we designed for these studies.
The core FeHm modulon contains 37 genes preferentially expressed under FeHm limitation
As expected, the core FeHm-ve genes identified by microarray include many genes known to be associated with FeHm acquisition. These included hitA, tonB, exbD, exbB, hgpB, hgpC and the hxu and tbp operons. In addition to genes clearly or potentially associated with FeHm acquisition we identified several other loci with roles potentially related to FeHm metabolism such as protection against oxidative stress, FeHm storage and detoxification and biofilm formation.
One such gene, HI1349, has similarities to DPS ferritins (DNA Protecting protein under Starved conditions) which non specifically bind DNA to protect from damage by reactive oxygen species . The DPS ferritins in other bacteria are induced by nutritional starvation, including metal ion starvation . Recently the expression of the H. influenzae DPS ferritin has been shown to be under the control of both the ArcAB two-component regulatory system  and OxyR . The ArcAB regulatory system controls metabolic flux during anaerobic growth and also appears to control genes in a pre-emptive protection against a burst of reactive oxygen intermediates (ROI) when aerobic growth resumes . Mutation of arcA decreases the expression of the DPS ferritin. Furthermore, the DPS ferritin was shown to mediate resistance to peroxide . The OxyR regulon is the coordinated response to oxidative damage induced by treatment with peroxide . The increased expression of the DPS ferritins under FeHm limitation may similarly protect against ROI should exogenous FeHm be added to the culture media.
The HI0590-591 operon, encoding putrescine-ornithine antiporter and ornithine decarboxylase (potE and speF respectively), is also similarly regulated in all isolates. This locus is potentially important in virulence since polyamines play a major role in the regulation of numerous cellular processes by modulating the biosynthesis of DNA, RNA and proteins [34–36]. In Yersinia pestis, polyamines play an essential role in biofilm formation , and in E. coli they have been implicated in defense against peroxide . Polyamines have also been implicated as an alternative source of energy production via generation of a transmembrane proton motive force . Recently, this locus has been shown to be regulated by ArcA in H. influenzae .
Other FeHm-ve genes include those encoding phosphoenolpyruvate carboxykinase (pckA, HI0809) fumerase C (fumC HI1398) and malate dehydrogenase (HI1210). Together with the product of HI0534 encoding aspartate ammonia lyase (aspA -regulated only in Hib10810) and asparaginase B (ansB HI0745- regulated only in Hib10810), these enzymes would lead to the sequential conversion of L-asparagine to L-aspartate, fumarate, malate, oxaloacetate and finally, with the action of PckA, yield phosphoenolpyruvate which then feeds into gluconeogenesis to generate a pool of glucose phosphate. It is interesting that the NTHi R2866 genome lacks HI0745 (ansB) and thus would not create the substrate of aspA (HI0534), a gene which it may not up-regulate.
Our previous study to determine the FeHm modulon of Rd KW20 elucidated several FeHm-ve genes with a potential involvement in FeHm acquisition . Included in these genes were two that encoded putative TonB-dependent outer membrane proteins (genes HI0113 and HI1369). This study confirms the increased transcription of these genes in two further isolates while under FeHm limitation. The role of these loci is currently unknown; however, the sequence homologies and similarities in the predicted secondary structure to other known TonB-dependent proteins suggest a role in iron and/or heme acquisition. Both HI0113 and HI1369 are foci of ongoing research with respect to their potential roles in FeHm acquisition.
The core FeHm modulon contains 37 genes preferentially expressed under FeHm supplementation
Included in the subset of FeHm+ve genes are several genes with a clear role in FeHm homeostasis and resistance to reactive radicals as well as genes for which the encoded protein requires iron or heme for functionality. The genes HI1384 and HI1385 encode the ferritin subunits which form a macromolecular structure that stores and detoxifies Fe when cellular levels become elevated. Also in the FeHm+ve group are genes HI0006m-HI0009 comprising the formate dehydrogenase complex which is an Fe-S cluster containing system, and the genes in the operon HI0172-HI0174 which encode an Fe-S assembly complex. Interestingly, the formate dehydrogenase locus (HI0006m-HI0009) is also part of the ArcAB regulon and shows decreased transcription in the arcA mutant . The genes HI1066-HI1069 encode subunits of nitrite reductase, which may assist in defense against reactive nitrogen species.
Not all genes involved in FeHm acquisition are contained in the core FeHm modulon
A locus identified in the current study, yet missed in the Rd KW20 microarray, is that of gene HI0997m. In NTHi R2866 and Hib 10810 it is the 5th and 2nd most upregulated gene respectively. Regulation of this gene was not observed in the Rd KW20 array study since it was excluded from the chip design. This exclusion was due to the presence of a stop codon within the reading frame of this gene in the original published Rd KW20 genomic sequence (codon 147 of 481) . The exclusion of this and other such sequences on the Rd KW20 chip is one of the driving forces behind the development of new microarrays targeting all genes and pseudogenes of the isolates being studied. The product of HI0997m exhibits homology to a putative outer membrane protein, OmpU, of Neisseria meningitides. This protein has been implicated in heme utilization since it facilitates the uptake of exogenous heme in Esherichia coli (see comments in the Entrez nucleotide entry for N. meningitidis ompU, Accession number AF118122). We used Q-PCR, to examine the FeHm regulated transcription of the region immediately upstream of the internal stop codon in HI0997m of strain Rd KW20 using cDNA derived from the samples detailed in our previous Rd KW20 microarray study . Transcription of this region of HI0997m in Rd KW20 under FeHm limitation was 6.15 fold higher than observed in FeHm-replete media. Thus, HI0997m exhibits a similar pattern of transcriptional change in response to FeHm limitation in all three strains and may thus warrant inclusion as a core FeHm-ve gene. However, nucleotide sequencing of three independent PCRs of HI0997m from strain Rd KW20 confirmed the presence of the internal stop codon, and thus HI0997m in Rd KW20 may not encode a functional protein (data not shown).
An additional locus that was identified in our previous study, and confirmed in this report, is that of the 4 gene operon HI0359-HI0362. This locus has homology to the yfeABCD locus of Yersinia pestis which plays a role in the uptake Fe, Mn and Zn . From the microarray data, all genes in this locus are clearly upregulated in both Rd KW20 and R2866 yet appear to be unregulated in Hib strain 10810. To confirm this, Q-PCR was performed in the first and second genes HI0362 and HI0361 respectively (Table 3). The results show that the first gene of the operon is upregulated in each isolate, while the second gene in Hib 10810 is not, confirming the differential regulation observed by microarray.
The genes identified here with potential roles in heme and iron acquisition are each the subject of ongoing studies in this laboratory as we seek to further define the range and role of FeHm acquisition systems in H. influenzae.
FeHm levels may modulate transcription of several genes previously defined as members of the ArcA regulon
ArcA/FeHm regulated operons in H. influenzae
Hi Rd KW20
Down regulated Δ arcA
Conserved hypothetical protein
Up regulated Δ arcA
Formate dehydrogenase beta subunit fdxH
Formate dehydrogenase gamma subunit fdxI
Uracil DNA glycosylase ung
Lipoate biosynthesis protein A lipA
Conserved hypothetical protein
NADH dehydrogenase ndh
Serine methylase glyA
Dephospho CoA kinase coaE
L-lactate permease lldP
5,10 methlyenetetrahydrofolate reductase metF
2-oxoglutarate dehydrogenase E2 sucB
2-oxoglutarate dehydrogenase E1 sucA
Argininosuccinate synthetase argG
Conserved hypothetical protein
Conserved hypothetical protein
Conserved hypothetical protein
L-lactate dehydrogenase lldD
The current investigation was performed to identify the genes preferentially transcribed under FeHm limitation in two clinically relevant isolates of H. influenzae and, by comparison with previously published observations, to begin to define the core FeHm modulon for this species. Since our focus at the outset was the elucidation of potential targets mediating iron and/or heme uptake, our experimental conditions were optimized by Q-PCR analysis of known FeHm repressible genes. By inference, these conditions were expected to identify other genes with similar transcriptional kinetics.
This study identified a putative core set of 37 FeHm-ve genes that are similarly regulated in three unrelated H. influenzae isolates. This core contains the majority of the known FeHm uptake genes, including the hgp s, the hxuCBA operon, and the tbp operon. All of these are TonB-dependent receptor complexes and the tonB operon was also determined to be FeHm-ve in all isolates examined.
Using the criteria of genes determined to be FeHm-ve with similarity to known TonB-dependent proteins two other genes were identified with a potential role in FeHm uptake; HI0113 and HI369. Both of these genes are subjects of ongoing studies in our laboratory
During the design of the experiments detailed in this manuscript, as well as those previously reported from strain Rd KW20 , great care was taken to ensure that each isolate was treated identically to minimize environmental influences other than the FeHm status of the media. Nevertheless, there remain potential strain-specific transcriptional differences observed among the three isolates by microarray. While every effort was taken to ensure that the observed effects result solely from the transition of the culture from FeHm restricted to FeHm supplemented conditions, other environmental stimuli cannot be entirely ruled out. It is possible that in our microarray experiments the removal of a large sample from the culture might perturb oxygen levels in the remaining medium. However, identical control experiments in which smaller samples were removed for Q-PCR analysis (0.5 ml, representing 0.4% culture volume) showed similar regulatory profiles of 94% of the core FeHm genes predicted by microarray. This finding indicates that oxygenation effects due to removal of a large sample volume in the microarray experiments are unlikely to account for the apparent effects of FeHm addition on gene regulation. A second potential environmental condition that could lead to transcriptional changes distinct from the response to FeHm addition is an alteration in the levels of other nutrients between the two time points. The two samples used in the microarray are separated by only a 20 minute period and are drawn from the same culture. This removes any potential flask-to-flask differences. In addition, due to the FeHm restriction, the cultures are growing slowly and are at a relatively low cell density and thus unlikely to be significantly depleting available nutrients during the time period between sampling. A further source of experimentally induced variation may be the temporal separation between individual microarray experiments. To overcome this, the control Q-PCR experiments were performed at the same time, with the same batch of media, under identical conditions. Taken together, these considerations suggest that nutrient depletion is unlikely to play a significant role in the observed outcomes of gene expression analyses. While we propose that the 20 minute period between sampling is too short to observe nutrient related changes in gene transcription in the culture, we have not performed experiments to specifically address this issue and are unable to completely discount this possibility.
Additional File 1 only contains genes for which a fold change >1.5 was determined by microarray in at least one isolate. However, the level of expression of the "unregulated", constitutively expressed FeHm genes (not shown in Additional File 1) is unclear. Are these genes expressed at a low constitutive level or at a level more like upregulated genes? In addition, the independent Q-PCR analysis also emphasize the fact that the reporting of "ns" in Additional File 1 for fold change of a gene is not an indication that that gene is not regulated. Thus, further studies are required to define the actual regulatory status of "ns" genes before the gene may be excluded as part of the core FeHm modulon. These missing pieces of information would have a profound effect on our understanding of the system biology of FeHm uptake and utilization as well as cellular metabolism.
Comparisons of the FeHm responsive genes in the three isolates indicate that NTHi R2866 and Hib10810 are more similar to each other than they are to Rd KW20. This may arise from the fact that the two isolates examined in this study are both recently isolated clinical isolates as opposed to Rd KW20 which has undergone multiple passages on artificial media or it may merely reflect the fact that Rd KW20 has a different mode of regulation than the other isolates. To investigate this aspect further, additional microarray analyses are planned with other genome-sequenced H. influenzae isolates.
In constrast with other model organisms, relatively few studies have been published in H. influenzae that have examined global transcriptional regulatory networks. Comparative genomic analyses have identified putative members of the FNR and CRP regulons  and purine, arginine and aromatic amino acid regulons . Knockouts have identified genes whose transcriptional profiles differ upon disruption of a possible regulatory element or co-effector. Included in these studies are the results of disruption of the tfoX (sxy) gene involved in regulating competence genes and the cya gene responsible for production of cAMP . This latter effect would alter regulation patterns of genes within the CRP regulon. Other studies have examined effects of disruption of the arcA and oxyR regulators [32, 33]. Furthermore, transcriptional effects resulting from specific environmental changes have been examined independently  or can be derived from the above studies. Thus, we can determine transcription patterns affected by transition between FeHm availability , sugar and nucleotide availability , and presence of oxidizing agents .
As could be expected, the results of our examination of transcriptional patterns altered by FeHm availability possess degrees of overlap with the results from these previous studies. For example, FeHm restriction can be predicted to result in a profound impact on energy generation in the cell. In fact, many genes previously demonstrated to be upregulated during nutrient limitation in a cAMP-dependent manner are also downregulated in this study upon the addition of FeHm. This suggests that the FeHm depleted cultures had elevated cAMP levels. Yet some genes demonstrate the opposite effect. These data show that gene regulatory networks in H. influenzae exhibit complexity beyond mere concurrent activation of independent regulons. For example, the dps gene (HI1427), encoding the DPS ferritin protein, appears to be part of the ArcA and OxyR regulons as well as responsive to FeHm levels. Transcripts from the operon comprising the ornithine decarboxylase and putrescine transporter (HI0591 and HI0592) and the HI0608 gene encoding a probable transport permease are negatively impacted by disruption of the arcA and cya genes compared to the wildtype strain and are also downregulated in response to FeHm addition; yet transcripts the gene encoding lactate permease (HI1218) which decrease in the cya mutant, increase in the arcA mutant and are upregulated in response to FeHm addition. Studies examining targets of particular transcriptional regulators should be performed in parallel with studies examining the effect of a particular stimulating substance(s) as part of a global approach to define gene regulation. However, the lack of sufficient data from H. influenzae makes a thorough examination of iron or heme's affect on independent regulons difficult within the scope of this work.
Overall, the data reveal a core FeHm modulon shared by all of the isolates studied. The core modulon includes genes in known regulons shown to have a role in virulence, such as the ArcA regulon . It is clear that the physiological roles of the genes in the putative core FeHm modulon are broad in the scope of function and may encompass most cellular processes including replication, energy metabolism, solute transport, protection against oxidation and biofilm formation. In addition, several new, previously uncharacterized genes have been identified with a possible role in FeHm metabolism. On the basis of our data it would appear that each of the three isolates may have a distinct set of non-core genes that respond to FeHm availability. Many of these genes are specific to individual isolates (see figure 4). While a common mechanism(s) for coordinated regulation of the core modulon across the species can be postulated, the regulation of the species-specific genes and strain-specific genes pose separate questions.
In summary, the major conclusions of this study are the following. First, the culture, microarray, and Q-PCR methodologies that we previously employed for the analysis of the regulation of gene expression by FeHm in the H. influenzae laboratory strain Rd KW20 were successfully extended to two recently sequenced clinical isolates, strains 10810 and R2866. Second, characterization of growth in vitro and conditions for reproducible transcriptional regulation by FeHm permitted direct comparison of gene expression among these three strains under identical environmental conditions. Third, among these three H. influenzae strains, a core set of genes responsive to environmental FeHm levels had been defined. The rigor and reproducibility of these microarray data were confirmed independently by Q-PCR. Fourth, these studies demonstrate the utility of comparative transcriptional profiling to identify genes shared across the species that are core members of an important modulon. These genes may play a key role in virulence; they are likely expressed during human disease; and thus, may comprise useful targets for potential therapeutic studies. These studies lay the foundation for further investigation of the role played by the FeHm modulon in H. influenzae virulence.
Bacterial strains and routine culture conditions
The Hib strain 10810 was isolated from a case of meningitis and its genome has been completely sequenced . Strain 10810 was kindly provided by Drs. Derrick Crook, Derek Hood and Richard Moxon. The NTHi strain R2866 was isolated from the blood of an immunocompetent child with clinical signs of meningitis subsequent to acute OM , and its genome has been completely sequenced . Strain R2866 was kindly provided by Dr. Arnold Smith. H. influenzae were routinely cultured at 37°C on chocolate II agar with bacitracin (BBL Prepared Media, Becton Dickinson and Co., Sparks, MD.)
Growth conditions for iron/heme (FeHm) regulated gene expression
Hemin was purchased from Sigma Chemical Co. (St. Louis, MO.) and used to make stock heme solutions as previously described  (heme is correctly defined as ferrous PPIX while hemin is ferric PPIX; however for the purposes of this manuscript heme is used as a general term and does not indicate a particular iron valence state). Growth conditions pertaining to the FeHm-regulation window of H. influenzae Rd KW20 have been previously defined , and were used as the basis to define growth of strains Hib 10810 and NTHi R2866. For both experimental strains various conditions were systematically evaluated to optimize growth characteristics, maintenance of viability consequent to iron and heme starvation and reproducible regulation of gene expression. The following conditions were found to be optimal for our analysis of the regulation of gene transcription by iron and heme. To prepare the primary inocula H. influenzae were initially grown in 15 ml conical tubes containing 5 ml of brain heart infusion (BHI) broth (Difco, Detroit, MI) supplemented with 10 μg/ml β-nicotinamide adenine dinucleotide (BHI-NAD) and additionally supplemented with 0.1 μg/ml heme. These broth cultures were grown at 37°C on a rotator for either 2 hours, in the case of Hib 10810, or for 3 hours, in the case of R2866, and were moderately turbid. The shorter primary incubation time for strain 10810 reflected an apparent faster growth rate for this strain, and was used to ensure that both isolates were at a similar growth phase prior to preparing the individual inocula. For the final inoculum, cells were pelleted by centrifugation, washed once in phosphate buffered saline (PBS) containing 0.1% gelatin and the pelleted cells were re-suspended in the same buffer. The suspension was adjusted to an A605 nm = 0.50 and then diluted serially in the same buffer to provide an inoculum giving a final concentration of ~2 × 107 cfu/ml when 5 ml of inoculum was added to 120 ml BHI-NAD broth additionally supplemented as specified. Broth cultures for iron and heme (FeHm) mediated regulation of gene expression were incubated in a rotary shaker at 175 rpm at 37°C, and 50 μl samples were removed at 30 minute intervals for determination of viable counts. For Q-PCR analyses aliquots of 500 μl were removed at specified times and immediately mixed with 1 ml RNAProtect (Qiagen, Valencia, CA) and frozen at -70°C for later RNA preparation. Sixty milliliter samples for microarray studies were taken at 90 and 110 minutes of incubation, immediately mixed with 60 ml RNAProtect and stored frozen at -70°C for later RNA preparation.
Samples for Q-PCR obtained as described above were thawed, remixed by brief vortexing and incubated at room temperature for 5 minutes prior to purification using the RNeasy mini kit (Qiagen, Valencia, CA). Following purification, the sample was eluted with 40 μl of sterile RNase free water. Residual chromosomal DNA was removed by digestion with amplification grade DNase I (Invitrogen, Carlsbad, CA). The RNA samples were used to prepare cDNA as previously described . Each 20 μl reaction contained 7 μl template RNA, 5.5 mM MgCl2, 500 μM each dNTP (dATP, dCTP, dGTP, dTTP), 1 × RT buffer, 80 mU RNase Inhibitor and 25 U MultiScribe Reverse Transcriptase (Applied Biosystems, Foster City, Ca.). The synthesis reaction was incubated at 25°C for 10 minutes followed by a further 30 minutes at 48°C. The reaction was terminated by heating at 95°C for 5 minutes. Prior to analysis, the cDNA was diluted by addition of 180 μl RNase-free water.
Samples for microarray obtained as described above were thawed and the cells collected by centrifugation. Total RNA was isolated using Trizol (Invitrogen) as described by the manufacturer. Residual genomic DNA was removed by treatment with RNase-free DNase (Invitrogen) as directed by the manufacturer and confirmed by Q-PCR analysis. The RNA samples were then subjected to LiCl precipitation as previously described  and concentrations determined using a Smartspec3000 (BioRad, Hercules, CA). Finally, to ensure that the RNA was not degraded, samples were resolved by PAGE using precast 6% TBE-Urea gels (Invitrogen). On receipt at Nimblegen, each sample was subjected to in-house quality control prior to processing samples for microarray analysis.
Quantitative real-time PCR
(Q-PCR) was performed as previously described . Gene-specific oligonucleotide primers were designed using Primer Express 2.0 (Applied Biosystems) (See Additional File 4: Primers used for Q-PCR analysis) and synthesized by Operon Technologies (Huntsville, AL) and were tested to determine amplification specificity, efficiency and for linearity of the amplification with RNA concentration. A typical 25 μl reaction contained 12.5 μl of SYBR Green Master Mix, 250 nM of each primer, and 5 μl of cDNA sample. Quantification reactions for the target transcripts at each timepoint were performed in triplicate and normalized to concurrently run 16s rRNA levels from the same sample. Relative quantification of gene expression was determined using the 2-ΔΔCt method of Livak and Schmittgen where ΔΔCt = (Ct, Target - Ct,16s)Timex - (Ct, Target - Ct,16s)Control .
A microarray chip containing probes to all the genes of isolates Hib 10810 and NTHi R2866 was designed. Due to the frequency of phase variation in H. influenzae and the possibility of sequencing errors, all frameshifted open reading frames were included on the arrays as a complete gene. Primer sets for the array were designed by Nimblegen Systems, Inc. (Madison, WI). Each ORF of the genomes is represented by thirteen longmer expression probes (60 nucleotides each). The probes were screened for uniqueness to minimize cross-hybridization. Each probe was replicated three times on each chip to increase accuracy.
Arrays were manufactured by NimbleGen Systems, Inc. by maskless array synthesis using a digital micromirror array-mediated, parallel synthesis process incorporating 5'-photoprotected phosphoramidites as previously described. .
Post scan, the array features within the image file were extracted using NimbleScan v2.1. This program allows the user to combine the microarray image with the corresponding NimbleGen microarray design file, and optionally, with a gene description file to further map the image. The resulting alignment can be visually manipulated for further analysis. The Expression Data was processed using tools available through the Bioconductor project . Data was normalized using quantile normalization , and gene calls generated using the Robust multichip average (RMA) algorithm as described .
Microarray data analysis
Technical array replicates (arising from the presence of three duplicate arrays on each slide) were averaged prior to analysis of the three biological replicates of each isolate. The data were log2 transformed and compared between the two conditions by performing individual t tests using the TMEV software [63, 64]. Genes with a 1.5-fold expression change and P ≤ 0.05 were considered significant.
Annotation of H. influenzae genome sequences
Annotation of the genomic sequences of strains Hib 10810 and NTHi R2866 was performed in house (data not shown). The annotation of the NTHi R2866 genome was based on comparative analyses between Rd KW20 , NTHi 86-028NP  and the NTHi R2846 sequence . Genes in R2866 were predicted using the program GLIMMER , trained on the codon usage pattern in strain Rd KW20. Predicted amino acid sequences for each called gene were compared between the four strains to determine consensus start sites and to account for frameshifted genes present in each strain. Manual annotation of nonredundant genes was performed by comparison to complete genomic sequences in other bacterial species. Using the sequences of Rd KW20, 86-028NP, R2846 and R2866, the probable ORFs in the Hib 10810 genome were predicted. The annotated NTHi R2866 genome sequence (with corrected frameshifts) is available upon request.
Genes/proteins prefaced with "probable" indicate that there is, within the literature, experimental evidence of a function in homologs in other bacteria, or that a function is proposed on the basis of well-characterized sequence motifs. Proteins prefaced with "putative" indicate that the encoded protein contains conserved domains that suggest a possible function. Genes listed as "conserved hypothetical protein" display significant sequence homology to predicted proteins outside of the Pasteurellaceae but lack well characterized motifs or experimental evidence for function while genes listed as "hypothetical proteins" lack significant homology to other predicted proteins.
Designation of putative operons
Operons and stand-alone genes were determined based on a number of factors. These include gene cluster analysis across species, transcriptional data from previous studies, conformity of orientation, size of intergenic regions and prediction of putative transcriptional terminators using the program Transterm .
The microarray data from this study has been deposited with the Gene Expression Omnibus  with the accession number GSE11362.
Haemophilus influenzae type b
Nontypeable Haemophilus influenzae
Open Reading Frame
Iron and heme
Iron and heme repressible
Iron and heme inducible
Brain Heart Infusion
Brain Heart Infusion supplemented with 10 μg/mlβ-nicotinamide adenine dinucleotide
Reactive oxygen intermediates
Polymerase chain reaction
Quantitative-polymerase chain reaction
Phosphate buffered saline.
This work was supported in part by Public Health Service Grant AI29611 from the National Institute of Allergy and Infectious Disease to TLS and by a grant from the Presbyterian Health Foundation to TLS. The authors gratefully acknowledge the support of the Children's Medical Research Institute. The authors thank Ms. Jennifer Springer for technical assistance. The authors thank Drs. Derrick Crook, Derek Hood and Richard Moxon for providing strain 10810 and Dr. Arnold Smith for providing strain R2866.
- Turk DC: The pathogenicity of Haemophilus influenzae. J Med Microbiol. 1984, 18: 1-16.View ArticlePubMedGoogle Scholar
- Garcia-Rodriguez JA, Fresnadillo Martinez MJ: Dynamics of nasopharyngeal colonization by potential respiratory pathogens. J Antimicrob Chemother. 2002, 50 (Suppl S2): 59-73. 10.1093/jac/dkf506.View ArticlePubMedGoogle Scholar
- Casey JR, Pichichero ME: Changes in frequency and pathogens causing acute otitis media in 1995–2003. Pediatr Infect Dis J. 2004, 23: 824-828. 10.1097/01.inf.0000136871.51792.19.View ArticlePubMedGoogle Scholar
- Murphy TF, Brauer AL, Schiffmacher AT, Sethi S: Persistent colonization by Haemophilus influenzae in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2004, 170: 266-272. 10.1164/rccm.200403-354OC.View ArticlePubMedGoogle Scholar
- Peltola H: Worldwide Haemophilus influenzae type b disease at the beginning of the 21st century: global analysis of the disease burden 25 years after the use of the polysaccharide vaccine and a decade after the advent of conjugates. Clin Microbiol Rev. 2000, 13: 302-317. 10.1128/CMR.13.2.302-317.2000.PubMed CentralView ArticlePubMedGoogle Scholar
- Teele DW, Klein JO, Rosner V, The Greater Boston Otitis Media Study Group: Epidemiology of otitis media during the first seven years of life in children in Greater Boston: a prospective, cohort study. J Infect Dis. 1989, 160: 83-94.View ArticlePubMedGoogle Scholar
- Ribeiro GS, Reis JN, Cordeiro SM, Lima JB, Gouveia EL, Petersen M, Salgado K, Silva HR, Zanella RC, Almeida SC, Brandileone MC, Reis MG, Ko AI: Prevention of Haemophilus influenzae type b (Hib) meningitis and emergence of serotype replacement with type a strains after introduction of Hib immunization in Brazil. J Infect Dis. 2003, 187: 109-116. 10.1086/345863.View ArticlePubMedGoogle Scholar
- Bajanca P, Canica M, The Multicenter Study Group: Emergence of nonencapsulated and encapsulated non-b-type invasive Haemophilus influenzae isolates in Portugal (1989–2001). J Clin Microbiol. 2004, 42: 807-810. 10.1128/JCM.42.2.807-810.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Murphy TF, Bakaletz LO, Kyd JM, Watson B, Klein DL: Vaccines for otitis media: proposals for overcoming obstacles to progress. Vaccine. 2005, 23: 2696-2702. 10.1016/j.vaccine.2004.12.014.View ArticlePubMedGoogle Scholar
- Evans NM, Smith DD, Wicken AJ: Haemin and nicotinamide adenine dinucleotide requirements of Haemophilus influenzae and Haemophilus parainfluenzae. J Med Microbiol. 1974, 7: 359-365.View ArticlePubMedGoogle Scholar
- Stull TL: Protein sources of heme for Haemophilus influenzae. Infect Immun. 1987, 55: 148-153.PubMed CentralPubMedGoogle Scholar
- Morton DJ, Williams P: Utilization of transferrin-bound iron by Haemophilus species of human and porcine origins. FEMS Microbiol Lett. 1989, 53: 123-127. 10.1111/j.1574-6968.1989.tb03609.x.View ArticlePubMedGoogle Scholar
- Morton DJ, Williams P: Siderophore-independent acquisition of transferrin-bound iron by Haemophilus influenzae type b. J Gen Microbiol. 1990, 136: 927-933.View ArticlePubMedGoogle Scholar
- Morton DJ, VanWagoner TM, Seale TW, Whitby PW, Stull TL: Utilization of myoglobin as a heme source by Haemophilus influenzae requires binding of myoglobin to haptoglobin. FEMS Microbiol Lett. 2006, 258: 235-240. 10.1111/j.1574-6968.2006.00230.x.View ArticlePubMedGoogle Scholar
- Morton DJ, VanWagoner TM, Seale TW, Whitby PW, Stull TL: Catalase as a source of both X- and V-factor for Haemophilus influenzae. FEMS Microbiol Lett. 2008, 279: 157-161. 10.1111/j.1574-6968.2007.01020.x.View ArticlePubMedGoogle Scholar
- Gray-Owen SD, Loosmore S, Schryvers AB: Identification and characterization of genes encoding the human transferrin-binding proteins from Haemophilus influenzae. Infect Immun. 1995, 63: 1201-1210.PubMed CentralPubMedGoogle Scholar
- Gray-Owen SD, Schryvers AB: Bacterial transferrin and lactoferrin receptors. Trends Microbiol. 1996, 4: 185-191. 10.1016/0966-842X(96)10025-1.View ArticlePubMedGoogle Scholar
- Morton DJ, Stull TL: Haemophilus. Iron Transport in Bacteria. Edited by: Crosa JH, Mey AR, Payne SM. 2004, Washington, DC: American Society for Microbiology, 273-292.View ArticleGoogle Scholar
- Seale TW, Morton DJ, Whitby PW, Wolf R, Kosanke SD, VanWagoner TM, Stull TL: Complex role of hemoglobin and hemoglobin-haptoglobin binding proteins in Haemophilus influenzae virulence in the infant rat model of invasive infection. Infect Immun. 2006, 74: 6213-6225. 10.1128/IAI.00744-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Morton DJ, Bakaletz LO, Jurcisek JA, VanWagoner TM, Seale TW, Whitby PW, Stull TL: Reduced severity of middle ear infection caused by nontypeable Haemophilus influenzae lacking the hemoglobin/hemoglobin-haptoglobin binding proteins (Hgp) in a chinchilla model of otitis media. Microb Pathog. 2004, 36: 25-33. 10.1016/j.micpath.2003.08.007.View ArticlePubMedGoogle Scholar
- Morton DJ, Smith A, VanWagoner TM, Seale TW, Whitby PW, Stull TL: Lipoprotein e (P4) of Haemophilus influenzae: Role in heme utilization and pathogenesis. Microbes Infect. 2007, 9: 932-939. 10.1016/j.micinf.2007.03.013.PubMed CentralView ArticlePubMedGoogle Scholar
- Morton DJ, Whitby PW, VanWagoner TM, Seale TW, Stull TL: The role of the heme-binding lipoprotein (HbpA) of Haemophilus. influenzae type b in heme utilization and virulence. Abstracts of the 108th General Meeting of the American Society of Microbiology. 2008Google Scholar
- Griffiths E: Iron in biological systems. Iron and Infection: Molecular, Physiological and Clinical Aspects. Edited by: Bullen JJ, Griffiths E. 1999, New York, NY: John Wiley & Sons, Inc, 1-26.Google Scholar
- Whitby PW, Sim KE, Morton DJ, Patel JA, Stull TL: Transcription of genes encoding iron and heme acquisition proteins of Haemophilus influenzae during acute otitis media. Infect Immun. 1997, 65: 4696-4700.PubMed CentralPubMedGoogle Scholar
- Whitby PW, VanWagoner TM, Seale TW, Morton DJ, Stull TL: Transcriptional profile of Haemophilus influenzae: Effects of iron and heme. J Bacteriol. 2006, 188: 5640-5645. 10.1128/JB.00417-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Alexander HE, Leidy G: Determination of inherited traits of H. influenzae by desoxyribonucleic acid fractions isolated from type-specific cells. J Exp Med. 1951, 93: 345-359. 10.1084/jem.93.4.345.PubMed CentralView ArticlePubMedGoogle Scholar
- Wilcox KW, Smith HO: Isolation and characterization of mutants of Haemophilus influenzae deficient in an adenosine 5'-triphosphate-dependent deoxyribonuclease activity. J Bacteriol. 1975, 122: 443-453.PubMed CentralPubMedGoogle Scholar
- Wellcome Trust Sanger Institute. [http://www.sanger.ac.uk]
- Nizet V, Colina KF, Almquist JR, Rubens CE, Smith AL: A virulent nonencapsulated Haemophilus influenzae. J Infect Dis. 1996, 173: 180-186.View ArticlePubMedGoogle Scholar
- Zhao G, Ceci P, Ilari A, Giangiacomo L, Laue TM, Chiancone E, Chasteen ND: Iron and hydrogen peroxide detoxification properties of DNA-binding protein from starved cells. A ferritin-like DNA-binding protein of Escherichia coli. J Biol Chem. 2002, 277: 27689-27696. 10.1074/jbc.M202094200.View ArticlePubMedGoogle Scholar
- Liu X, Theil EC: Ferritins: dynamic management of biological iron and oxygen chemistry. Acc Chem Res. 2005, 38: 167-175. 10.1021/ar0302336.View ArticlePubMedGoogle Scholar
- Wong SM, Alugupalli KR, Ram S, Akerley BJ: The ArcA regulon and oxidative stress resistance in Haemophilus influenzae. Mol Microbiol. 2007, 64: 1375-1390. 10.1111/j.1365-2958.2007.05747.x.PubMed CentralView ArticlePubMedGoogle Scholar
- Harrison A, Ray WC, Baker BD, Armbruster DW, Bakaletz LO, Munson RS: The OxyR regulon in nontypeable Haemophilus influenzae. J Bacteriol. 2007, 189: 1004-1012. 10.1128/JB.01040-06.PubMed CentralView ArticlePubMedGoogle Scholar
- Igarashi K, Kashiwagi K: Polyamines: mysterious modulators of cellular functions. Biochem Biophys Res Commun. 2000, 271: 559-564. 10.1006/bbrc.2000.2601.View ArticlePubMedGoogle Scholar
- Tabor CW, Tabor H: Polyamines in microorganisms. Microbiol Rev. 1985, 49: 81-99.PubMed CentralPubMedGoogle Scholar
- Yoshida M, Kashiwagi K, Shigemasa A, Taniguchi S, Yamamoto K, Makinoshima H, Ishihama A, Igarashi K: A unifying model for the role of polyamines in bacterial cell growth, the polyamine modulon. J Biol Chem. 2004, 279: 46008-46013. 10.1074/jbc.M404393200.View ArticlePubMedGoogle Scholar
- Patel CN, Wortham BW, Lines JL, Fetherston JD, Perry RD, Oliveira MA: Polyamines are essential for the formation of plague biofilm. J Bacteriol. 2006, 188: 2355-2363. 10.1128/JB.188.7.2355-2363.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Chattopadhyay MK, Tabor CW, Tabor H: Polyamines protect Escherichia coli cells from the toxic effect of oxygen. Proc Natl Acad Sci USA. 2003, 100: 2261-2265. 10.1073/pnas.2627990100.PubMed CentralView ArticlePubMedGoogle Scholar
- Soksawatmaekhin W, Kuraishi A, Sakata K, Kashiwagi K, Igarashi K: Excretion and uptake of cadaverine by CadB and its physiological functions in Escherichia coli. Mol Microbiol. 2004, 51: 1401-1412. 10.1046/j.1365-2958.2003.03913.x.View ArticlePubMedGoogle Scholar
- Fleischmann RD, Adams MD, White O, Clayton RA, Kirkness EF, Kerlavage AR, Bult CJ, Tomb J, Dougherty BA, Merrick JM, McKenney K, Sutton G, FitzHugh W, Fields C, Gocayne JD, Scott J, Shirley R, Liu L, Glodek A, Kelley JM, Weidman JF, Phillips CA, Spriggs T, Hedblom E, Cotton MD, Utterback RC, Hanna MC, Nguyen DT, Saudek DM, Brandon RC, Fine LD, Fritchman JL, Fuhrmann JL, Geoghagen NSM, Gnehm CL, McDonald LA, Small KV, Fraser CM, Smith HO, Venter JC: Whole-genome random sequencing and assembly of Haemophilus influenzae Rd. Science. 1995, 269: 496-512. 10.1126/science.7542800.View ArticlePubMedGoogle Scholar
- Bearden SW, Perry RD: The Yfe system of Yersinia pestis transports iron and manganese and is required for full virulence of plague. Mol Microbiol. 1999, 32: 403-414. 10.1046/j.1365-2958.1999.01360.x.View ArticlePubMedGoogle Scholar
- Chin N, Frey J, Chang CF, Chang YF: Identification of a locus involved in the utilization of iron by Actinobacillus pleuropneumoniae. FEMS Microbiol Lett. 1996, 143: 1-6. 10.1111/j.1574-6968.1996.tb08452.x.View ArticlePubMedGoogle Scholar
- Hsu YM, Chin N, Chang CF, Chang YF: Cloning and characterization of the Actinobacillus pleuropneumoniae fur gene and its role in regulation of ApxI and AfuABC expression. DNA Seq. 2003, 14: 169-181.View ArticlePubMedGoogle Scholar
- Angerer A, Klupp B, Braun V: Iron transport systems of Serratia marcescens. J Bacteriol. 1992, 174: 1378-1387.PubMed CentralPubMedGoogle Scholar
- Gong S, Bearden SW, Geoffroy VA, Fetherston JD, Perry RD: Characterization of the Yersinia pestis Yfu ABC inorganic iron transport system. Infect Immun. 2001, 69: 2829-2837. 10.1128/IAI.67.5.2829-2837.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- VanWagoner TM, Morton DJ, Whitby PW, Seale TW, Stull TL: Identification of an ABC transport system involved in heme uptake in type b capsulated Haemophilus influenzae. Abstracts of the 107th General Meeting of the American Society of Microbiology. 2007Google Scholar
- Georgellis D, Kwon O, Lin EC: Quinones as the redox signal for the arc two-component system of bacteria. Science. 2001, 292: 2314-2316. 10.1126/science.1059361.View ArticlePubMedGoogle Scholar
- Malpica R, Franco B, Rodriguez C, Kwon O, Georgellis D: Identification of a quinone-sensitive redox switch in the ArcB sensor kinase. Proc Natl Acad Sci USA. 2004, 101: 13318-13323. 10.1073/pnas.0403064101.PubMed CentralView ArticlePubMedGoogle Scholar
- Liu Q, Berchner-Pfannschmidt U, Moller U, Brecht M, Wotzlaw C, Acker H, Jungermann K, Kietzmann T: A Fenton reaction at the endoplasmic reticulum is involved in the redox control of hypoxia-inducible gene expression. Proc Natl Acad Sci USA. 2004, 101: 4302-4307. 10.1073/pnas.0400265101.PubMed CentralView ArticlePubMedGoogle Scholar
- De Souza-Hart JA, Blackstock W, Di Modugno V, Holland IB, Kok M: Two-component systems in Haemophilus influenzae: a regulatory role for ArcA in serum resistance. Infect Immun. 2003, 71: 163-172. 10.1128/IAI.71.1.163-172.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Tan K, Moreno-Hagelsieb G, Collado-Vides J, Stormo GD: A comparative genomics approach to prediction of new members of regulons. Genome Res. 2001, 11: 566-584. 10.1101/gr.149301.PubMed CentralView ArticlePubMedGoogle Scholar
- Mironov AA, Koonin EV, Roytberg MA, Gelfand MS: Computer analysis of transcription regulatory patterns in completely sequenced bacterial genomes. Nucleic Acids Res. 1999, 27: 2981-2989. 10.1093/nar/27.14.2981.PubMed CentralView ArticlePubMedGoogle Scholar
- Redfield RJ, Cameron AD, Qian Q, Hinds J, Ali TR, Kroll JS, Langford PR: A novel CRP-dependent regulon controls expression of competence genes in Haemophilus influenzae. J Mol Biol. 2005, 347: 735-747. 10.1016/j.jmb.2005.01.012.View ArticlePubMedGoogle Scholar
- University of Washington Genome Center. [http://www.genome.washington.edu/UWGC/]
- Morton DJ, Madore LL, Smith A, VanWagoner TM, Seale TW, Whitby PW, Stull TL: The heme-binding lipoprotein (HbpA) of Haemophilus influenzae: role in heme utilization. FEMS Microbiol Lett. 2005, 253: 193-199. 10.1016/j.femsle.2005.09.016.View ArticlePubMedGoogle Scholar
- VanWagoner TM, Whitby PW, Morton DJ, Seale TW, Stull TL: Characterization of three new competence-regulated operons in Haemophilus influenzae. J Bacteriol. 2004, 186: 6409-6421. 10.1128/JB.186.19.6409-6421.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Sambrook J, Russell DW: Molecular Cloning: A Laboratory Manual. 2001, Cold Spring Harbor, NY: Cold Spring Harbor Laboratory PressGoogle Scholar
- Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2-DDCT method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.View ArticlePubMedGoogle Scholar
- Singh-Gasson S, Green RD, Yue Y, Nelson C, Blattner F, Sussman MR, Cerrina F: Maskless fabrication of light-directed oligonucleotide microarrays using a digital micromirror array. Nat Biotechnol. 1999, 17: 974-978. 10.1038/13664.View ArticlePubMedGoogle Scholar
- Bioconductor Project. [http://www.bioconductor.org]
- Bolstad BM, Irizarry RA, Astrand M, Speed TP: A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003, 19: 185-193. 10.1093/bioinformatics/19.2.185.View ArticlePubMedGoogle Scholar
- Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP: Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics. 2003, 4: 249-264. 10.1093/biostatistics/4.2.249.View ArticlePubMedGoogle Scholar
- TM4 Microarray Software Suite. [http://www.tm4.org/mev.html]
- Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M, Sturn A, Snuffin M, Rezantsev A, Popov D, Ryltsov A, Kostukovich E, Borisovsky I, Liu Z, Vinsavich A, Trush V, Quackenbush J: TM4: a free, open-source system for microarray data management and analysis. Biotechniques. 2003, 34: 374-378.PubMedGoogle Scholar
- Harrison A, Dyer DW, Gillaspy A, Ray WC, Mungur R, Carson MB, Zhong H, Gipson J, Gipson M, Johnson LS, Lewis L, Bakaletz LO, Munson RS: Genomic sequence of an otitis media isolate of nontypeable Haemophilus influenzae: comparative study with H. influenzae serotype d, strain KW20. J Bacteriol. 2005, 187: 4627-4636. 10.1128/JB.187.13.4627-4636.2005.PubMed CentralView ArticlePubMedGoogle Scholar
- Salzberg SL, Delcher AL, Kasif S, White O: Microbial gene identification using interpolated Markov models. Nucleic Acids Res. 1998, 26: 544-548. 10.1093/nar/26.2.544.PubMed CentralView ArticlePubMedGoogle Scholar
- Ermolaeva MD, Khalak HG, White O, Smith HO, Salzberg SL: Prediction of transcription terminators in bacterial genomes. J Mol Biol. 2000, 301: 27-33. 10.1006/jmbi.2000.3836.View ArticlePubMedGoogle Scholar
- Gene Expression Omnibus (GEO). [http://www.ncbi.nlm.nih.gov/geo]
- Morton DJ, Whitby PW, Jin H, Ren Z, Stull TL: Effect of multiple mutations in the hemoglobin- and hemoglobin-haptoglobin-binding proteins, HgpA, HgpB, and HgpC of Haemophilus influenzae type b. Infect Immun. 1999, 67: 2729-2739.PubMed CentralPubMedGoogle Scholar
- Morton DJ, Smith A, Madore LL, VanWagoner TM, Seale TW, Whitby PW, Stull TL: Identification of a haem utilization protein (Hup) in Haemophilus influenzae. Microbiology. 2004, 150: 3923-3933. 10.1099/mic.0.27238-0.View ArticlePubMedGoogle Scholar
- Cope LD, Yogev R, Muller-Eberhard U, Hansen EJ: A gene cluster involved in the utilization of both free heme and heme:hemopexin by Haemophilus influenzae type b. J Bacteriol. 1995, 177: 2644-2653.PubMed CentralPubMedGoogle Scholar
- Morton DJ, Seale TW, Madore LL, VanWagoner TM, Whitby PW, Stull TL: The haem-haemopexin utilization gene cluster (hxuCBA) as a virulence factor of Haemophilus influenzae. Microbiology. 2007, 153: 215-224. 10.1099/mic.0.2006/000190-0.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.