Abstract
A unique hallmark of tuberculosis is the granulomatous lesions formed in the lung. Granulomas can be heterogeneous in nature and can develop a necrotic, hypoxic core which is surrounded by an acellular, fibrotic rim. Studying bacilli in this in vivo microenvironment is problematic as Mycobacterium tuberculosis can change its phenotype and also become acid-fast negative. Under in vitro models of differing environments, M. tuberculosis alters its metabolism, transcriptional profile and rate of replication. In this study, we investigated whether these phenotypic adaptations of M. tuberculosis are unique for certain environmental conditions and if they could therefore be used as differential markers. Bacilli were studied using fluorescent acid-fast auramine-rhodamine targeting the mycolic acid containing cell wall, and immunofluorescence targeting bacterial proteins using an anti-M. tuberculosis whole cell lysate polyclonal antibody. These techniques were combined and simultaneously applied to M. tuberculosis in vitro culture samples and to lung sections of M. tuberculosis infected mice and guinea pigs. Two phenotypically different subpopulations of M. tuberculosis were found in stationary culture whilst three subpopulations were found in hypoxic culture and in lung sections. Bacilli were either exclusively acid-fast positive, exclusively immunofluorescent positive or acid-fast and immunofluorescent positive. These results suggest that M. tuberculosis exists as multiple populations in most conditions, even within seemingly a single microenvironment. This is relevant information for approaches that study bacillary characteristics in pooled samples (using lipidomics and proteomics) as well as in M. tuberculosis drug development.
Introduction
Mycobacterium tuberculosis, the causative agent of the disease tuberculosis (TB), has proved extremely difficult to treat for more than a century. Almost 1.8 million people died from TB in 2007 [1] despite vast campaigns undertaken by national and international agencies to control and eliminate this infection. The success of this bacillus in causing TB partly resides in its ability to adapt to the various microenvironments within the human host which renders the bacilli refractory to drug treatment [2], [3].
When M. tuberculosis first enters the lung, the bacilli are phagocytosed by alveolar macrophages and infection is then contained by host cellular recruitment into the formation of granulomas [4]. In nonhuman primates, rabbits and guinea pigs a heterogeneity of lesions is observed comprising of initial hypoxic, necrotic primary granulomas and then secondary inflammatory lesions which originate at a later stage after dissemination [5], [6], [7], [8]. This hypoxic environment is one of many which M. tuberculosis adapts to in order to survive. When grown under hypoxic conditions in vitro in the laboratory, M. tuberculosis alters its replication rate [9] and also changes its metabolism [10], [11], [12], [13]. The adaptation to hypoxic conditions, and to nutrient starvation [14], is thought to be, at least partly, responsible for its ability to survive in a latent state for long periods in humans [9] [10], [15], [16].
The mechanisms by which the bacilli survive in the granuloma are poorly understood. To date, there are only few studies published which investigate M. tuberculosis within granulomas which is most likely due to technological difficulties of extracting M. tuberculosis from tissue and performing proteomic and lipidomic studies on limited bacterial numbers. The goal of this study was to investigate M. tuberculosis in their in vivo environment by using differential staining techniques that target specific components of the M. tuberculosis bacillus, and whether certain bacillary populations could be identified in the different microenvironments tested in vitro and in vivo. Current published methods used to visualize and locate bacteria within infected tissue allow for detection of: 1) bacterial lipid by acid-fast staining [Ziehl-Neelsen (ZN) and auramine-rhodamine (AR) [17]], 2) bacterial surface proteins by immunohistochemistry (IHC) or immunofluorescence (IF) [18], [19], [20] and 3) bacterial nucleic acid by in situ hybridization (ISH) [21], [22]. IHC and IF both use antibodies directed against a desired target but the methods mainly differ in the use of a secondary detection step as IHC uses a chromogen for color visualization whilst IF uses fluorophores.
Both IHC and acid-fast staining visualize specific targets, therefore we hypothesized that only certain subpopulations of M. tuberculosis would be detected by each individual detection technique as numerous published studies have shown that the cell wall of M. tuberculosis can undergo alterations under certain in vitro and in vivo conditions. Deb et al showed that M. tuberculosis can lose its acid-fastness under multiple stresses in vitro [23]. Another in vitro study showed that altered mycolic acid ratios along with a shortened mycolic acid chain length render M. tuberculosis acid-fast negative [24]. In macrophages, levels of certain mycolic acids of M. tuberculosis are substantially altered [25]. In mice, it has also been demonstrated that M. tuberculosis can lose its ability to retain the Ziehl Nielsen acid-fast stain [19], [20]. Furthermore, the cell wall of M. tuberculosis has been described to thicken when grown under hypoxic conditions in vitro as was shown by transmission electron microscopy [26]. In addition to cell wall alterations, it has been shown that M. tuberculosis changes its transcription profile significantly under different environmental conditions. Low oxygen tension, NO, or CO induce the transcription of a set of genes known as the DosR regulon, which allow the bacteria to survive under these conditions [27], [28], [29]. Under anaerobic conditions, RNA and protein synthesis are significantly reduced and the bacilli enter a dormant state [10], [13], [30]. In macrophages, M. tuberculosis upregulates an iron-scavenging pathway and induces anaerobic respiration along with the dormancy regulon [11]. The differences in the bacterial cell wall and transcription profiles observed under certain environmental conditions in earlier studies were the basis for the work presented here as a manner to identify different bacillary populations with AR and IF.
Although acid-fast stains have been around for decades, the exact cellular component of M. tuberculosis recognized by the dyes is still being elucidated. Fuchsin, the main component of Ziehl-Neelsen and Kinyoun acid-fast stains, has been shown to stain the vastly complex lipid portion of the mycobacterial cell wall [31], [32], [33] and is also fluorescent [34]. However, less is known about the target of the combined auramine O-rhodamine B stain. Auramine O is believed to bind to mycolic acids [31] and nucleic acids [35], [36], [37]. Although rhodamine B has been used in numerous M. tuberculosis studies, the exact staining target in M. tuberculosis has yet to be discovered. The IF technique described in this study uses a rabbit polyclonal antibody raised against M. tuberculosis whole cell lysate to maximize detection sensitivity.
This study had a dual goal; to investigate whether various subpopulations of M. tuberculosis exist under different environmental conditions by staining for M. tuberculosis in culture, mice and guinea pigs; and to simultaneously detect multiple M. tuberculosis populations by detection of different targets with a combined IF-AR approach, and in addition, improving the sensitivity of the methods by using fluorescent signals. IF-AR staining revealed that there are at least three subpopulations of M. tuberculosis that exist within in vitro grown cultures and within mouse and guinea pig lung granulomas.
Materials and Methods
Ethics Statement
All experimental protocols were approved with written consent by the Animal Care Use Committee of Colorado State University (approval numbers ACUC #04-302A-06 and ACUC #06-221A-03) which abides by the USDA Animal Welfare Act and the Public Health Service Policy on Humane Care and Use of Laboratory Animals.
Animals
Specific-pathogen-free, 8 to 10 weeks old female C57BL/6 mice and four to five month-old, female out-bred Hartley guinea pigs (approximately 500 g in weight) were purchased from the Charles River Laboratories (North Wilmington, Massachusetts). The C57BL/6-Ifngtm1ts gamma interferon gene-disrupted (GKO) mice were purchased from Jackson Laboratories (Bar Harbor, Maine). Animals were maintained in the biosafety level 3 biohazard facilities at Colorado State University, and were given sterile water, bedding, and enrichment for the duration of the experiments. The specific pathogen-free nature of the animal colonies was demonstrated by testing sentinel animals.
Bacterial Isolates
The virulent M. tuberculosis strain Erdman (TMCC 107, purchased from ATCC), was grown as previously described [38]. Briefly, M. tuberculosis Erdman was grown to mid-log phase in Proskauer-Beck medium containing 0.01% Tween 80 (Sigma-Aldrich, St. Louis, Missouri) and stored in vials frozen at −70°C until use.
The H37Rv strain of M. tuberculosis (Trudeau Institute, Saranac Lake, New York) is used routinely in our laboratory for guinea pig infection studies [7], [39], [40]. M. tuberculosis H37Rv was grown from low passage seed lots in Proskauer-Beck liquid medium containing 0.05% Tween 80 to early mid-log phase and frozen in aliquots at −70°C until needed. Cultures were diluted in sterile water prior to use.
M. tuberculosis in vitro oxygen depletion
The protocol used to grow M. tuberculosis under hypoxic conditions has been described [41] and is a slight modification of the method described by Wayne and Hayes [9] and Murugasu-Oei and Dick [42]. Briefly, mid-log-phase aerobic M. tuberculosis H37Rv cultures were diluted 100-fold in Dubos medium and transferred to tubes closed with sterile 8.0-mm silicone rubber septa (Aldrich, Milwaukee, Wisconsin). The cultures were grown at 37°C with slow stirring for 27 days. Control tubes contained methylene blue dye (1.5 µg/ml) which fades and finally disappears under anaerobic conditions, as described by Wayne and Hayes [9].
Experimental infections
Mice were exposed to a low-dose aerosol infection (LDA) with M. tuberculosis strain Erdman (TMCC 107) in a Glass-Col inhalation exposure system (Glas-Col Inc., Terre Haute, Indiana) as previously described [38]. To verify lung bacterial uptake of 50 to 100 CFU per mouse, the bacterial load at one day post LDA was determined as indicated below. C57BL/6 mice were sacrificed 28 days and GKO mice were sacrificed 18 days post LDA by CO2 inhalation and spleens and left lung lobes were aseptically removed and bacterial loads determined as previously described [41]. Samples from the lower right lung lobe were also collected and processed for histological examination as indicated below.
Female Hartley guinea pigs were exposed to a low-dose aerosol of H37Rv strain of M. tuberculosis in a Madison aerosol chamber device known to result in approximately 20 lesions in the lungs as previously described [43], [44]. Guinea pigs were euthanized at 30 days post infection by sodium barbital injection (Sleepaway; Fort Dodge Laboratories, Indiana), and organs were aseptically removed and plated out as previously described [7]. Briefly, right cranial lung lobes were excised and homogenized in 4.5 ml of 0.85% sterile saline with a Kinematica Polytron tissue homogenizer (Brinkman Instruments Services, Westbury, New York). The bacterial load in each sample was determined and samples from each organ were also collected and processed for histological examination as indicated below.
Bacterial load
The number of viable organisms in each organ sample was determined by plating serial dilutions of the organ homogenates on nutrient Middlebrook 7H11 agar plates (GIBCO BRL, Gaithersburg, Maryland). The plates were incubated at 37°C in ambient air for 4 weeks prior to the counting of the number of colony forming units (CFU) for each dilution.
Histology
At the time of sacrifice, the lower right lung lobe was infused in situ with 10% neutral-buffered formalin and preserved for 48 hours until processed for histopathological assessment. At the time of processing, all tissues were embedded in paraffin, sectioned at 5 µm and stained with hematoxylin and eosin (H&E). The sections were examined by a veterinary pathologist and compared to the histopathology from previous animal studies completed in our laboratory [7], [41].
Immunofluorescence
M. tuberculosis culture and lung tissue samples were examined by immunofluorescence as follows. Samples of M. tuberculosis culture were fixed in 4% paraformaldehyde (Electron Microscopy Supplies, Hatfield, Pennsylvania) in PBS for 30 minutes, washed in PBS then water and 1–2 µls were spotted on a glass slide. 5 µm sections of lung tissue were dewaxed in xylene and rehydrated through graded alcohols. The tissue sections and culture samples were then treated with 1 mg/ml lysozyme (Sigma-Aldrich, St. Louis, Missouri) and 30 U/ml achromopeptidase (Sigma-Aldrich, St. Louis, Missouri) in 10 mM Tris (pH 7.5) at 37°C for 40 min. Antigen retrieval was performed using the Retriever™ 2100 which pressure cooks at 121°C for 15 minutes using Target Retrieval Buffer solution S1699 (DAKO, Carpinteria, California). Blocking was performed with 1% goat serum in PBS (Biomeda, Foster City, California) for 30 minutes. The slides were incubated at 4°C overnight with rabbit polyclonal anti-TB whole cell lysate minus LAM (Antibody E293, CSU TB Vaccine Testing and Research Materials Contract, Colorado). Subsequently, the slides were washed using PBS and the antibody was detected with an Alexafluor 488 labeled goat anti-rabbit IgG (Invitrogen, Carlsbad, California). The slides were washed in PBS, mounted with ProLong® Gold antifade reagent (Invitrogen, Carlsbad, California) and photographed under a fluorescent microscope. When combining IF with auramine rhodamine, the coverslips were removed after IF and the slides were washed for 5 minutes in water and then stained with AR. The slides were again mounted and photographed under the same fluorescent microscope.
Auramine-Rhodamine staining
M. tuberculosis culture and lung tissue samples were examined by auramine-rhodamine staining as follows. All samples were stained with TB Fluorescent Stain Kit T (Becton, Dickinson and Company, Sparks, Maryland) which is a combination of auramine O and rhodamine B. Samples of M. tuberculosis culture were fixed in 4% paraformaldehyde (Electron Microscopy Supplies, Hatfield, Pennsylvania) in PBS for 30 minutes, washed in PBS then water and 1–2 µls were spotted on a glass slide. Tissue sections were dewaxed in xylene and rehydrated through a graded alcohol series. Slides were then stained with a 1∶20 dilution of TB Auramine-Rhodamine T for 30 minutes. Slides were decolorized with TB Decolorizer TM (BD) until the stain was completely decolorized (3–5 minutes). Counterstaining was performed with hematoxylin QS (Vector Laboratories, Inc., Burlingame, California) for approximately 5 seconds for tissue sections or TB potassium permanganate (BD) for in vitro samples. The slides were washed with ddH2O and mounted using ProLong® Gold antifade reagent (Invitrogen, Carlsbad, California) and reexamined using the same microscope and camera as used for IF stained slides.
Optimization of combined IF and AR
Extensive optimization was completed before applying IF-AR on tissue samples. Different protocols were evaluated where the sequence of AR and IF on the slides was tested either alone or in combination. Preliminary results showed that the intensity of the IF was severely reduced when the AR staining preceded the IF. In addition, AR also interfered with IF by reducing the signal when AR was applied last. Therefore, the final protocol was as follows; IF was performed first and the slides were photographed, then the coverslips were removed the slides were stained by AR and photographed again. To test this protocol and ensure that IF staining did not interfere with the subsequent AR staining, serial sections of a primary granuloma were cut and numbered. Odd numbered sections were stained with IF-AR and even numbered sections were stained with AR alone. The results showed that after IF and AR combined staining no loss of AR signal was observed when compared to AR alone.
Fluorescent in situ hybridization
FISH was performed using three antisense ssDNA probes targeting M. tuberculosis 16s ribosomal RNA. Probes used were M. tuberculosis 187 (MTB187) [21], M. tuberculosis 223 (MTB223) (5′-CCCACACCGCTAAAGCGC-3′) and M. tuberculosis 1284 (MTB1284) (5′-GAGACCGGCTTTTAAGGATTCG-3′). Probes MTB223 and MTB1284 were newly designed in our laboratory using ARB software [45]. The positive and negative control probes, EUB338 and non-EUB338, have been previously described [46], [47]. All the sense and antisense probes were purchased pre-labeled with Alexafluor 568 nm from Invitrogen (Carlsbad, California) and were used at final concentration of 1 µg/ml.
M. tuberculosis culture and lung tissue samples were examined by FISH as follows. Firstly the tissue sections were dewaxed and rehydrated through graded alcohols and finally incubated in PBS. At this stage, all culture and tissue sections received the same treatment. Samples were permeabilized for 1 hour at 37°C using 10 mg/ml lysozyme (Sigma-Aldrich, St. Louis, Missouri) in PBS. Subsequently, the tissue sections were incubated with the prehybridization buffer for 1 hour at 37°C. Prehybridization buffer contained 20% 20X SSC (Boston Bioproducts, Worcester, Massachusetts), 20% dextran sulphate, 50% formamide, 1% 50X Denhardts solution (Sigma-Aldrich, St. Louis, Missouri), 2.5% 10 mg/ml Poly A, 2.5% 10 mg/ml ssDNA, 2.5% 10 mg/ml tRNA (Invitrogen, Carlsbad, California). After a quick rinse in 2X SSC, hybridization buffer (prehybridization buffer with probe) containing the three fluorescent rRNA probes were added to the sections, heated briefly for 5 minutes at 75°C and then incubated overnight at 37°C. All prehybridization and hybridization incubations were performed in a Hybaid OmniSlide in situ Thermal Cycler System (Thermo Fisher Scientific, Waltham, Massachusetts). Thereafter, the sections were washed using a Hybaid Heated Wash Module (Thermo Fisher Scientific, Waltham, Massachusetts) according to the following protocol; first a quick wash in 1X SSC at RT to remove the coverslips, followed by two washes for 15 min at 55°C with 1X SSC and another two washes for 15 min at 55°C in 0.5% SSC and finally ending with one wash for 10 min at RT in 0.5X SSC. The sections were counterstained with DAPI (Sigma-Aldrich, St. Louis, Missouri) and mounted in Prolong Gold (Invitrogen, Carlsbad, California).
Fluorescent Microscopy
Photographs were taken on a Nikon Eclipe 80i with DAPI, FITC and TRITC filter cubes and an Optronics Microfire color fluorescent camera. Multiple photographs were taken under different focal planes when necessary and combined using Nikon NIS Elements AR 3.0 software. For confocal microscopy, a Zeiss Axio Observer confocal microscope was connected to a LSM510 META confocal laser source. A 488 nm argon laser was used with emission filter 505–550 nm. Images were captured and analyzed using Ziess LSM image analyzer version 4.0.
Results
Detection of M. tuberculosis in culture
Samples were obtained from cultures of M. tuberculosis grown aerobically to stationary phase for 55 days and cultures grown under hypoxic conditions (which is hypothesized to mimic hypoxic conditions in necrotic granulomas) for 27 days as described by Wayne [9], [41]. These samples were stained by IF. In stationary phase culture, the IF+ bacteria yielded strong, intense, positive fluorescence (Figure 1, A). Interestingly, the IF signals varied between bacilli. Signals ranged from full rod shapes to a punctuated form with one to several intense dots or focal points. In cultures grown under hypoxic conditions the punctuated signals were more pronounced (Figure 1, D). This punctuate staining was also seen in all in vivo samples.
Cultures were then stained with AR which showed highly fluorescent orange-red bacteria. This staining was uniform throughout the bacillus and also defined its rod-shaped form (Figure 1, B&E). The bacilli predominantly existed as single organisms however various sized aggregates were frequently seen. The latter is a common characteristic of culture-grown M. tuberculosis.
We then evaluated whether multiple phenotypic populations could be observed under various culture conditions when combining IF with AR. This was done by comparing stained samples obtained from aerobically grown stationary culture and culture grown under hypoxic conditions. Samples were stained with the combined IF-AR procedure to simultaneously detect protein and acid-fast targets. Slides were first stained by IF and fluorescence signals (green color) were captured using a FITC filter. The slides were subsequently stained with AR (red color) and then a TRITC filter was used to capture the AR fluorescence signals. The two photographs were combined and analyzed using NIS Elements software (Nikon). Yellow signals occur when bacilli are detected by both IF and AR.
When IF-AR was applied to both types of culture samples, more bacilli were detected by IF than AR in both stationary and hypoxic culture. In samples from stationary phase culture, 100% of bacilli that stained positive by AR (AR+) were also positive by IF (IF+) giving a yellow color (Figure 1, C). Therefore two populations of M. tuberculosis were found in stationary culture; bacilli that are detected by IF alone (green color) and bacilli that are detected by IF-AR (yellow). When bacterial samples grown under hypoxic culture conditions were stained by IF-AR (Figure 1, F), there was a noticeable difference when compared to samples from stationary phase culture. IF again detected more bacilli than AR but the number of AR positive bacilli was higher in hypoxic culture than in stationary culture. Interestingly, about 30% of AR stained bacteria in hypoxic culture were positive exclusively by AR (red color) and were not detected by IF. This result showed three populations of M. tuberculosis in hypoxic culture; bacilli that were detected by IF alone (green and IF+ AR-), AR alone (red and IF- AR+) or by the combined IF-AR technique (yellow and IF+ AR+). This dual IF-AR technique detected a higher total number of stained bacilli in hypoxic culture than using either technique alone.
Finally, bacterial samples from stationary and hypoxic cultures were also studied using FISH to detect the 16 s subunit of M. tuberculosis rRNA. Evaluation of the specificity of the two newly designed M. tuberculosis probes (MTB223 and MTB1284) was performed by fixing M. tuberculosis culture onto glass slides and detecting with FISH. When used to detect rRNA with all three probes (MTB187, MTB223 and MTB1284) the bacteria appeared as positive rod-shaped signals (Figure 2, A) similar to AR stained bacilli although the signal was not as intense.
Detection of M. tuberculosis in murine models of infection
Using the different detection methods, we investigated the presence of multiple phenotypes of M. tuberculosis in vivo in different locations in the lung. To demonstrate this, two mouse strains were used which are currently used in our laboratories for drug testing [50]. Immunocompetent C57BL/6 mice and the immunocompromised GKO mice were infected with M. tuberculosis by LDA as previously described [38].
Lung tissue sections obtained from C57BL/6 and GKO infected mice at the time of sacrifice were first stained using H&E. The histopathology of C57BL/6 and GKO mice has been previously described [48], [51]. In brief, at 28 days post LDA the granulomatous lung tissue of C57BL/6 mice consists of large lymphocyte aggregates surrounding multiple, smaller accumulations of epithelioid macrophages. In GKO mice at 18 days post LDA there are coalescing foci of multiple lesions that form considerable areas of inflammation. These granulomas differ from guinea pig granulomas as they do not form an organized hypoxic necrotic core [52], [53], [54].
When lung tissue sections from both C57BL/6 and GKO mice were stained by IF, the bacilli most frequently stained in a punctuate manner (Figure 3, A&D) similar to that seen in IF stained hypoxic culture (Figure 1, D). Uniform, rod-shaped staining was an infrequent event unlike auramine-rhodamine staining which consistently produced complete rod-shaped bacilli (Figure 3, B&E). In both mouse models, bacilli were associated with granulomatous tissue and IF positive bacilli were in the same location as AR positive bacilli. IF detection revealed that GKO mice (Figure 3, D) had larger numbers of positive bacteria than C57BL/6 mice (Figure 3, A).
To further examine the punctuate features of this staining we analyzed tissue sections using confocal microscopy which revealed varied signals ranging from a weak bacillus outline with single or several intense dots to full rod shaped bacilli (Figure 3, J). This punctuate characteristic of the IF staining demonstrated that the antibody binding was more concentrated in some areas than others. Confocal micrographs also demonstrated that the antibody was penetrating the tissue section on the slides as bacilli were stained equally throughout the depth of the tissue.
Similar sections from mice were then stained by AR. Bacilli were mostly found intracellular and strongly associated with granulomatous tissue (Figure 3, B). Lung sections of GKO mice stained by AR also revealed that bacilli were associated with inflammatory lesions which contained exceptionally large numbers of intracellular and extracellular AR positive bacilli (Figure 3, E). In general, bacilli stained by AR exhibited a uniform, strong staining pattern however quite a small fraction were very faint.
The combined IF-AR procedure was then applied to murine lung tissue. Similar to that seen in hypoxic culture, IF-AR resulted in the detection of three populations of M. tuberculosis in both C57BL/6 (Figure 3, C) and GKO mice (Figure 3, F). Bacilli were either detected by IF alone (green), AR alone (red) or concurrently by both techniques (yellow). The three populations were found homogenously distributed throughout the lung granulomas. These results indicate that within one environment, M. tuberculosis can exhibit different phenotypes. We intended to determine the total number of bacteria per field, however due to the close proximity and high numbers of bacilli, accurate enumeration of the bacteria was not possible. Also it was not possible to capture all the signals in one plane of focus. Therefore photographs were taken at varying focal planes which were overlaid and analyzed using NIS Elements software. This analysis revealed that when using either IF or AR alone, the number of bacilli was approximately 40–60% lower to that observed in a tissue section stained by IF-AR.
When AR or IF were applied individually, a varied signal intensity between bacilli was observed ranging from quite strong to quite weak. Most bacilli were easily seen whereas others were close to the minimum level of detection suggesting that by a single technique not all populations were being detected. If some bacilli were quite weakly stained then it could be possible that others were below the limits of detection hence the need to combine the two complementary detection techniques.
FISH was used to detect M. tuberculosis in infected mouse samples using fluorescent M. tuberculosis probes MTB187, MTB223 and MTB1284. Positive rod-shaped signals were observed in GKO mice (Figure 2, B). The FISH signals observed in vivo were not as intense as the results obtained in vitro (Figure 2, A). The FISH signals in GKO mice (Figure 2, B) were also noticeably weaker than the signals obtained by AR and IF (Figure 3, F).
Detection of M. tuberculosis in the guinea pig model of infection
The guinea pig model was studied because of the presence of hypoxic, necrotic granulomas after M. tuberculosis infection, which are similar to those seen in human pulmonary infection [5], [48], [49].
When detected by IF, bacilli were primarily located extracellularly within the necrotic core of primary granulomas and with lesser numbers in the surrounding fibrotic rim. Very few IF+ bacilli were found in non-necrotic granulomas. Bacilli predominantly existed as single organisms with small microclusters of approximately 2–10 bacilli (Figure 3, G). As seen in cultures and in mice, bacilli in the guinea pig mainly stained by IF in a punctuate manner with some complete rods. The range of staining intensity was similar to that seen in mouse tissue with some bacilli easily visible whilst others were quite weak with a single focal point of fluorescent signal.
In the current study, at 30 days post infection, bacilli in primary lesions are predominantly extracellular, located within the necrotic core of granulomas and within the surrounding fibrotic rim. Similar to IF staining, bacilli largely existed in the guinea pig as single organisms but also as small microclusters containing 2–10 bacilli (Figure 3, H). In the secondary lesions, there were very low numbers of AR positive bacteria which were found intracellular. As found in mouse tissue, bacilli stained intensely by AR however there was a very small proportion that stained quite weakly.
Combining IF and AR revealed fewer bacilli numbers in the guinea pig lung sections than that seen in mouse tissue, which is as expected due to lower bacterial numbers per section as determined by colony forming unit counts. The three different M. tuberculosis populations seen in mice were also detected in guinea pig tissue; bacilli that stain with either AR or IF alone and bacilli that stain simultaneously by both techniques (Figure 3, I). Similar to the result found in mice, the combined IF-AR technique detects a higher total number of bacilli compared to using either IF or AR alone. These multiple populations were mostly found homogeneously distributed within the necrotic core of granulomas with a smaller proportion in the surrounding acellular rim.
When FISH was applied using three fluorescent M. tuberculosis probes, M. tuberculosis could not be visualized in guinea pig tissue sections that were shown to harbor bacilli by IF and AR. This result contrasts with the strong FISH results seen in cultures and moderate signals in mice.
Discussion
The aim of this work was to investigate whether the microenvironment plays a role in determining the phenotype of M. tuberculosis. To achieve this objective, current detection techniques were first assessed for their ability to detect M. tuberculosis in culture and tissue samples. The detection techniques used for identification were IF which is directed towards bacterial surface proteins and AR which stains cell wall components and FISH which detects rRNA. We introduced a new approach to studying M. tuberculosis phenotypes by using IF-AR simultaneously. By combining both methods we not only intended to detect both acid-fast and non acid-fast bacteria, we also aimed at elucidating in vivo the ratios of both subpopulations in the different locations of the lung lesion.
The findings in this study demonstrate that in all samples M. tuberculosis stains in a punctuated manner by IF and in a uniform manner using the acid-fast AR method. The uniform, intense positive stain obtained by AR enabled slides to be assessed easier and quicker when compared to slides stained by IF. Also, there was slight background tissue autofluorescence associated with IF whereas AR produces none. The autofluorescence was likely caused by overlaying multiple (2–3) IF photographs of varying focal planes.
Bacilli were shown to stain either exclusively by IF (green), exclusively by AR (red) or by both techniques concurrently (yellow). In samples from stationary phase culture, two populations of green and yellow bacilli were observed. The green bacilli were IF positive, acid fast negative (IF+ AR−) whilst the yellow population was IF+ AR+. However in hypoxic culture, three different phenotypic populations of green, red and yellow were revealed indicating that hypoxia induces phenotypic changes leading to a diverse population being detected exclusively by acid-fast AR (and therefore IF− AR+). Although previous studies have presented strong evidence indicating phenotypic alterations, this is the first study documenting the presence of multiple M. tuberculosis populations within one microenvironment.
In mice and guinea pigs, all three subpopulations of bacilli were found homogeneous over the lung lesions studied. We estimate that, on average, about an equal proportion were present of the green and red individually stained bacilli. In addition to the single stained bacilli another subpopulation of dual stained yellow bacilli was observed which was a smaller population than either green or red. It has been a general thought that M. tuberculosis can alter its metabolism depending on its environment in order to survive. We hypothesized that this could be reflected in seeing different subpopulations depending on the various microenvironments mimicked in vitro and in vivo conditions. However, the results showed that under several in vitro conditions M. tuberculosis is always present as two or three different subpopulations. The same was observed in vivo, where even in the cores of the hypoxic, necrotic lesions not only one single population but three different populations of M. tuberculosis were visualized by the dual staining technique. The results suggest that M. tuberculosis may always be present in various stochastic phenotypes which could be seen as an ultimate survival strategy to adapt quickly to altering conditions [3]. Phenotypic heterogeneity has been linked to persistence of microbes under varying microenvironments [55], [56] and in the case of M. tuberculosis persistence may be partly responsible for the difficulty of treating tuberculosis disease [16].
It is unclear at this time what these differences in cell wall compositions are as the exact targets of AR and IF have not been fully determined. However, in our experience, rhodamine B alone stains M. tuberculosis quite readily in culture and tissue sections and also stains purified cell wall components (unpublished data). Indeed, a thorough evaluation of acid-fast staining is necessary to identify the staining targets and therefore define these three different populations. Current studies are underway in our laboratory to determine which cell wall component(s) are stained by fuchsin, auramine and rhodamine.
One population of bacilli was acid-fast negative. A decrease in acid-fast staining is reportedly related to mycolic acid composition. Various reports have shown that M. tuberculosis can alter its cell wall composition and this can lead to a loss of acid-fastness [19], [20], [24], [25], [26]. In earlier papers it has been suggested that an intact or fully encompassing cell wall is required for retention of acid-fast dyes. However we have digested the cell wall sufficiently to the allow horseradish peroxidase enzyme (40 kDa) to penetrate and yet the bacilli were still strongly acid-fast positive (unpublished data).
Another population in this study was IF negative. The reason why a population is IF negative is unclear. One reason is that the anti-whole cell lysate antibodies used in this study were raised against bacilli that were in late log stage growth. It is possible that under hypoxic conditions, M. tuberculosis expresses a different set of surface proteins or reduces surface protein expression as the bacilli enter what is likely to be a dormant state. We are currently generating polyclonal antibodies against different stages of bacilli in order to address this question. Another reason may be protection by the polysaccharide rich capsule of M. tuberculosis which has been described by others [57]. This capsule may mask the bacterial surface proteins from the antibody. An alternative explanation is that these IF negative bacilli are in fact dead and the surface proteins were degraded more quickly than the mycolic acid cell wall leaving an acid-fast ‘shell’. As for the IF positive bacterial population, the exact proteins detected are not known. The rabbit polyclonal anti-whole cell lysate antibodies used by IF in this study have numerous protein targets as determined by western blot (data not shown) but it is not known which proteins were detected in this study and positive detection by western blot does not always reflect immunodetection in tissue. Although we report the presence of multiple phenotypes, we cannot fully explain the biological relevance as the staining targets have not been completely identified.
In the current study FISH was assessed for its ability to detect all populations of M. tuberculosis in vitro and in vivo by targeting M. tuberculosis 16 s ribosomal RNA. FISH yielded strong signals in hypoxic culture but resulted in only moderate signals in mice and failed to detect M. tuberculosis in guinea pigs. Of importance, these results indicate that the bacilli under the various in vitro and in vivo conditions are different in their ability to be identified by FISH. One can speculate as to why there was no signal in guinea pig tissues whereas a moderate signal was observed in mice. The lack of FISH signals in necrotic granulomas of guinea pigs could be due to a reduction of M. tuberculosis rRNA numbers in the bacteria within the necrotic lesions to below the limits of FISH detection. An alternative explanation is that the cell wall of the bacteria in these hypoxic regions might have changed and thickened, and therefore have become far less permeable to the probes used in FISH. It could also be a combination of both explanations. Of significance, these results show that the bacilli in mice and guinea pigs are not identical. Currently, we are trying to study whether the bacilli in the primary granuloma show a thickened or altered cell wall using electron microscopy, a change that has been reported in M. tuberculosis in vitro [26]. In the guinea pig model, most bacilli were observed within the necrotic regions of the primary granulomas by IF and AR staining. The necrotic granuloma has been shown to be hypoxic [7], [8], however the FISH signals were quite strong in samples from hypoxic M. tuberculosis culture indicating that hypoxia alone does not decreased rRNA FISH signals. This result was also seen in another in vitro study which showed that M. tuberculosis rRNA levels were stable throughout log phase, microaerophilic nonreplicating phase I (NRP-1) and anaerobic NRP-2 stages [58]. Our results show that in vitro grown bacilli under hypoxia are not identical to those found in the hypoxic, necrotic lesions of the guinea pig model.
In the present study we mainly concentrated on the cross species comparison of the location of different subpopulations of M. tuberculosis in vivo at a single time point after infection. It would be interesting to study whether the ratios of these different phenotypes would change over the progression of disease. An earlier published study by Seiler et al indicates that this could be the case [19]. In mice, while bacilli numbers remained constant over time by culture and IHC, the numbers of acid-fast (carbolfuchsin and AR) organisms were drastically reduced. Current studies are expanding this work to enumerate bacteria in drug treated and untreated guinea pigs over time which includes early and late stages of infection.
The discovery of multiple phenotypes of M. tuberculosis within the same microenvironment in vitro as well as in vivo reveals a new challenge. Several studies are underway trying to elucidate the microenvironments surrounding the bacilli and investigating the metabolic changes of the bacilli in these microenvironments by genomic, proteomic, metabolomic and lipidomic methodologies. A vast array of information will be gained by these studies. Although the field has started to recognize that these studies should not look at entire lungs because of differences between lesion types in most larger animal models, the results presented here indicate that the task might even be far more complicated. In order to assess an accurate measurement of protein, lipid or genetic profile of the bacilli it might be necessary to look at a per-cell basis with new technologies.
Acknowledgments
We kindly thank Veronica Gruppo for technical assistance and the staff of the Laboratory Animal Resources at Colorado State University (CSU) for their animal care.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: Support was provided by the National Institutes of Health (NIH) grant RO-1 AI061505 and the NIH Contract NO1 AI-95385 at CSU. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.WHO 2009. WHO report 2009; Global tuberculosis control: epidemiology, strategy, financing.
- 2.Zhang Y. Persistent and dormant tubercle bacilli and latent tuberculosis. Front Biosci. 2004;9:1136–1156. doi: 10.2741/1291. [DOI] [PubMed] [Google Scholar]
- 3.Dhar N, McKinney JD. Microbial phenotypic heterogeneity and antibiotic tolerance. Curr Opin Microbiol. 2007;10:30–38. doi: 10.1016/j.mib.2006.12.007. [DOI] [PubMed] [Google Scholar]
- 4.Saunders BM, Cooper AM. Restraining mycobacteria: role of granulomas in mycobacterial infections. Immunol Cell Biol. 2000;78:334–341. doi: 10.1046/j.1440-1711.2000.00933.x. [DOI] [PubMed] [Google Scholar]
- 5.Smith DW, Balasubramanian V, Wiegeshaus E. A guinea pig model of experimental airborne tuberculosis for evaluation of the response to chemotherapy: the effect on bacilli in the initial phase of treatment. Tubercle. 1991;72:223–231. doi: 10.1016/0041-3879(91)90013-i. [DOI] [PubMed] [Google Scholar]
- 6.McMurray DN. Hematogenous reseeding of the lung in low-dose, aerosol-infected guinea pigs: unique features of the host-pathogen interface in secondary tubercles. Tuberculosis (Edinb) 2003;83:131–134. doi: 10.1016/s1472-9792(02)00079-3. [DOI] [PubMed] [Google Scholar]
- 7.Lenaerts AJ, Hoff D, Aly S, Ehlers S, Andries K, et al. Location of persisting mycobacteria in a Guinea pig model of tuberculosis revealed by r207910. Antimicrob Agents Chemother. 2007;51:3338–3345. doi: 10.1128/AAC.00276-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Via LE, Lin PL, Ray SM, Carrillo J, Allen SS, et al. Tuberculous granulomas are hypoxic in guinea pigs, rabbits, and nonhuman primates. Infect Immun. 2008;76:2333–2340. doi: 10.1128/IAI.01515-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wayne LG, Hayes LG. An in vitro model for sequential study of shiftdown of Mycobacterium tuberculosis through two stages of nonreplicating persistence. Infect Immun. 1996;64:2062–2069. doi: 10.1128/iai.64.6.2062-2069.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dick T. Dormant tubercle bacilli: the key to more effective TB chemotherapy? J Antimicrob Chemother. 2001;47:117–118. doi: 10.1093/jac/47.1.117. [DOI] [PubMed] [Google Scholar]
- 11.Schnappinger D, Ehrt S, Voskuil MI, Liu Y, Mangan JA, et al. Transcriptional Adaptation of Mycobacterium tuberculosis within Macrophages: Insights into the Phagosomal Environment. J Exp Med. 2003;198:693–704. doi: 10.1084/jem.20030846. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Voskuil MI. Mycobacterium tuberculosis gene expression during environmental conditions associated with latency. Tuberculosis (Edinb) 2004;84:138–143. doi: 10.1016/j.tube.2003.12.008. [DOI] [PubMed] [Google Scholar]
- 13.Voskuil MI, Visconti KC Schoolnik GK. Mycobacterium tuberculosis gene expression during adaptation to stationary phase and low-oxygen dormancy. Tuberculosis (Edinb) 2004;84:218–227. doi: 10.1016/j.tube.2004.02.003. [DOI] [PubMed] [Google Scholar]
- 14.Betts JC, Lukey PT, Robb LC, McAdam RA, Duncan K. Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling. Mol Microbiol. 2002;43:717–731. doi: 10.1046/j.1365-2958.2002.02779.x. [DOI] [PubMed] [Google Scholar]
- 15.Parrish NM, Dick JD, Bishai WR. Mechanisms of latency in Mycobacterium tuberculosis. Trends Microbiol. 1998;6:107–112. doi: 10.1016/s0966-842x(98)01216-5. [DOI] [PubMed] [Google Scholar]
- 16.Gomez JE, McKinney JD. M. tuberculosis persistence, latency, and drug tolerance. Tuberculosis (Edinb) 2004;84:29–44. doi: 10.1016/j.tube.2003.08.003. [DOI] [PubMed] [Google Scholar]
- 17.Steingart KR, Henry M, Ng V, Hopewell PC, Ramsay A, et al. Fluorescence versus conventional sputum smear microscopy for tuberculosis: a systematic review. Lancet Infect Dis. 2006;6:570–581. doi: 10.1016/S1473-3099(06)70578-3. [DOI] [PubMed] [Google Scholar]
- 18.Purohit MR, Mustafa T, Wiker HG, Morkve O, Sviland L. Immunohistochemical diagnosis of abdominal and lymph node tuberculosis by detecting Mycobacterium tuberculosis complex specific antigen MPT64. Diagn Pathol. 2007;2:36. doi: 10.1186/1746-1596-2-36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Seiler P, Ulrichs T, Bandermann S, Pradl L, Jorg S, et al. Cell-wall alterations as an attribute of Mycobacterium tuberculosis in latent infection. J Infect Dis. 2003;188:1326–1331. doi: 10.1086/378563. [DOI] [PubMed] [Google Scholar]
- 20.Ulrichs T, Lefmann M, Reich M, Morawietz L, Roth A, et al. Modified immunohistological staining allows detection of Ziehl-Neelsen-negative Mycobacterium tuberculosis organisms and their precise localization in human tissue. J Pathol. 2005;205:633–640. doi: 10.1002/path.1728. [DOI] [PubMed] [Google Scholar]
- 21.St Amand AL, Frank DN, De Groote MA, Basaraba RJ, Orme IM, et al. Use of specific rRNA oligonucleotide probes for microscopic detection of Mycobacterium tuberculosis in culture and tissue specimens. J Clin Microbiol. 2005;43:5369–5371. doi: 10.1128/JCM.43.10.5369-5371.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fenhalls G, Stevens L, Moses L, Bezuidenhout J, Betts JC, et al. In situ detection of Mycobacterium tuberculosis transcripts in human lung granulomas reveals differential gene expression in necrotic lesions. Infect Immun. 2002;70:6330–6338. doi: 10.1128/IAI.70.11.6330-6338.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Deb C, Lee CM, Dubey VS, Daniel J, Abomoelak B, et al. A novel in vitro multiple-stress dormancy model for Mycobacterium tuberculosis generates a lipid-loaded, drug-tolerant, dormant pathogen. PLoS One. 2009;4:e6077. doi: 10.1371/journal.pone.0006077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bhatt A, Fujiwara N, Bhatt K, Gurcha SS, Kremer L, et al. Deletion of kasB in Mycobacterium tuberculosis causes loss of acid-fastness and subclinical latent tuberculosis in immunocompetent mice. Proc Natl Acad Sci U S A. 2007;104:5157–5162. doi: 10.1073/pnas.0608654104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yuan Y, Zhu Y, Crane DD, Barry CE., 3rd The effect of oxygenated mycolic acid composition on cell wall function and macrophage growth in Mycobacterium tuberculosis. Mol Microbiol. 1998;29:1449–1458. doi: 10.1046/j.1365-2958.1998.01026.x. [DOI] [PubMed] [Google Scholar]
- 26.Cunningham AF, Spreadbury CL. Mycobacterial stationary phase induced by low oxygen tension: cell wall thickening and localization of the 16-kilodalton alpha-crystallin homolog. J Bacteriol. 1998;180:801–808. doi: 10.1128/jb.180.4.801-808.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Voskuil MI, Schnappinger D, Visconti KC, Harrell MI, Dolganov GM, et al. Inhibition of respiration by nitric oxide induces a Mycobacterium tuberculosis dormancy program. J Exp Med. 2003;198:705–713. doi: 10.1084/jem.20030205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Shiloh MU, Manzanillo P, Cox JS. Mycobacterium tuberculosis senses host-derived carbon monoxide during macrophage infection. Cell Host Microbe. 2008;3:323–330. doi: 10.1016/j.chom.2008.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sherman DR, Voskuil M, Schnappinger D, Liao R, Harrell MI, et al. Regulation of the Mycobacterium tuberculosis hypoxic response gene encoding alpha -crystallin. Proc Natl Acad Sci U S A. 2001;98:7534–7539. doi: 10.1073/pnas.121172498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wayne LG, Sohaskey CD. Nonreplicating persistence of mycobacterium tuberculosis. Annu Rev Microbiol. 2001;55:139–163. doi: 10.1146/annurev.micro.55.1.139. [DOI] [PubMed] [Google Scholar]
- 31.Richards OW. The Staining of Acid-Fast Tubercle Bacteria. Science. 1941;93:190. doi: 10.1126/science.93.2408.190. [DOI] [PubMed] [Google Scholar]
- 32.Harada K. The nature of mycobacterial acid-fastness. Stain Technol. 1976;51:255–260. doi: 10.3109/10520297609116714. [DOI] [PubMed] [Google Scholar]
- 33.Goren MB, Cernich M, Brokl O. Some observations of mycobacterial acid-fastness. Am Rev Respir Dis. 1978;118:151–154. doi: 10.1164/arrd.1978.118.1.151. [DOI] [PubMed] [Google Scholar]
- 34.Shapiro HM, Hanscheid T. Fuchsin fluorescence in Mycobacterium tuberculosis: the Ziehl-Neelsen stain in a new light. J Microbiol Methods. 2008;74:119–120. doi: 10.1016/j.mimet.2008.04.005. [DOI] [PubMed] [Google Scholar]
- 35.Oster G. [Fluorescence of auramine O in the presence of nucleic acid.]. C R Hebd Seances Acad Sci. 1951;232:1708–1710. [PubMed] [Google Scholar]
- 36.Kojima K, Niri M, Setoguchi K, Tsuda I, Tatsumi N. An automated optoelectronic reticulocyte counter. Am J Clin Pathol. 1989;92:57–61. doi: 10.1093/ajcp/92.1.57. [DOI] [PubMed] [Google Scholar]
- 37.Hanscheid T, Ribeiro CM, Shapiro HM, Perlmutter NG. Fluorescence microscopy for tuberculosis diagnosis. Lancet Infect Dis. 2007;7:236–237. doi: 10.1016/S1473-3099(07)70058-0. [DOI] [PubMed] [Google Scholar]
- 38.Kelly BP, Furney SK, Jessen MT, Orme IM. Low-dose aerosol infection model for testing drugs for efficacy against Mycobacterium tuberculosis. Antimicrob Agents Chemother. 1996;40:2809–2812. doi: 10.1128/aac.40.12.2809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hoff DR, Caraway ML, Brooks EJ, Driver ER, Ryan GJ, et al. Metronidazole lacks antibacterial activity in guinea pigs infected with Mycobacterium tuberculosis. Antimicrob Agents Chemother. 2008;52:4137–4140. doi: 10.1128/AAC.00196-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Brandt L, Skeiky YA, Alderson MR, Lobet Y, Dalemans W, et al. The protective effect of the Mycobacterium bovis BCG vaccine is increased by coadministration with the Mycobacterium tuberculosis 72-kilodalton fusion polyprotein Mtb72F in M. tuberculosis-infected guinea pigs. Infect Immun. 2004;72:6622–6632. doi: 10.1128/IAI.72.11.6622-6632.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lenaerts AJ, Gruppo V, Marietta KS, Johnson CM, Driscoll DK, et al. Preclinical testing of the nitroimidazopyran PA-824 for activity against Mycobacterium tuberculosis in a series of in vitro and in vivo models. Antimicrob Agents Chemother. 2005;49:2294–2301. doi: 10.1128/AAC.49.6.2294-2301.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Murugasu-Oei B, Dick T. Bactericidal activity of nitrofurans against growing and dormant Mycobacterium bovis BCG. J Antimicrob Chemother. 2000;46:917–919. doi: 10.1093/jac/46.6.917. [DOI] [PubMed] [Google Scholar]
- 43.Kraft SL, Dailey D, Kovach M, Stasiak KL, Bennett J, et al. Magnetic resonance imaging of pulmonary lesions in guinea pigs infected with Mycobacterium tuberculosis. Infect Immun. 2004;72:5963–5971. doi: 10.1128/IAI.72.10.5963-5971.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Johnson CM, Pandey R, Sharma S, Khuller GK, Basaraba RJ, et al. Oral therapy using nanoparticle-encapsulated antituberculosis drugs in guinea pigs infected with Mycobacterium tuberculosis. Antimicrob Agents Chemother. 2005;49:4335–4338. doi: 10.1128/AAC.49.10.4335-4338.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ludwig W, Strunk O, Westram R, Richter L, Meier H, et al. ARB: a software environment for sequence data. Nucleic Acids Res. 2004;32:1363–1371. doi: 10.1093/nar/gkh293. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.DeLong EF, Wickham GS, Pace NR. Phylogenetic stains: ribosomal RNA-based probes for the identification of single cells. Science. 1989;243:1360–1363. doi: 10.1126/science.2466341. [DOI] [PubMed] [Google Scholar]
- 47.Wallner G, Amann R, Beisker W. Optimizing fluorescent in situ hybridization with rRNA-targeted oligonucleotide probes for flow cytometric identification of microorganisms. Cytometry. 1993;14:136–143. doi: 10.1002/cyto.990140205. [DOI] [PubMed] [Google Scholar]
- 48.Turner OC, Basaraba RJ, Frank AA, Orme IM. Granulomatous Infections and Inflammations: Cellular and Molecular Mechanisms; In: Boros DL, editor. Washington, D.C.: ASM Press; 2003. pp. 65–84. [Google Scholar]
- 49.Basaraba RJ. Experimental tuberculosis: the role of comparative pathology in the discovery of improved tuberculosis treatment strategies. Tuberculosis (Edinb) 2008;88(Suppl 1):S35–47. doi: 10.1016/S1472-9792(08)70035-0. [DOI] [PubMed] [Google Scholar]
- 50.Lenaerts AJ, Degroote MA, Orme IM. Preclinical testing of new drugs for tuberculosis: current challenges. Trends Microbiol. 2008;16:48–54. doi: 10.1016/j.tim.2007.12.002. [DOI] [PubMed] [Google Scholar]
- 51.Rhoades ER, Frank AA, Orme IM. Progression of chronic pulmonary tuberculosis in mice aerogenically infected with virulent Mycobacterium tuberculosis. Tuber Lung Dis. 1997;78:57–66. doi: 10.1016/s0962-8479(97)90016-2. [DOI] [PubMed] [Google Scholar]
- 52.Cooper AM, Dalton DK, Stewart TA, Griffin JP, Russell DG, et al. Disseminated tuberculosis in interferon gamma gene-disrupted mice. J Exp Med. 1993;178:2243–2247. doi: 10.1084/jem.178.6.2243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Pearl JE, Saunders B, Ehlers S, Orme IM, Cooper AM. Inflammation and lymphocyte activation during mycobacterial infection in the interferon-gamma-deficient mouse. Cell Immunol. 2001;211:43–50. doi: 10.1006/cimm.2001.1819. [DOI] [PubMed] [Google Scholar]
- 54.Flynn JL, Chan J, Triebold KJ, Dalton DK, Stewart TA, et al. An essential role for interferon gamma in resistance to Mycobacterium tuberculosis infection. J Exp Med. 1993;178:2249–2254. doi: 10.1084/jem.178.6.2249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kussell E, Leibler S. Phenotypic diversity, population growth, and information in fluctuating environments. Science. 2005;309:2075–2078. doi: 10.1126/science.1114383. [DOI] [PubMed] [Google Scholar]
- 56.Kussell E, Kishony R, Balaban NQ, Leibler S. Bacterial persistence: a model of survival in changing environments. Genetics. 2005;169:1807–1814. doi: 10.1534/genetics.104.035352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Ortalo-Magne A, Dupont MA, Lemassu A, Andersen AB, Gounon P, et al. Molecular composition of the outermost capsular material of the tubercle bacillus. Microbiology. 1995;141 (Pt 7):1609–1620. doi: 10.1099/13500872-141-7-1609. [DOI] [PubMed] [Google Scholar]
- 58.Desjardin LE, Hayes LG, Sohaskey CD, Wayne LG, Eisenach KD. Microaerophilic induction of the alpha-crystallin chaperone protein homologue (hspX) mRNA of Mycobacterium tuberculosis. J Bacteriol. 2001;183:5311–5316. doi: 10.1128/JB.183.18.5311-5316.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]