Abstract

A comprehensive analysis of both the molecular genetic and phenotypic responses of any organism to the space flight environment has never been accomplished because of significant technological and logistical hurdles. Moreover, the effects of space flight on microbial pathogenicity and associated infectious disease risks have not been studied. The bacterial pathogen Salmonella typhimurium was grown aboard Space Shuttle mission STS-115 and compared with identical ground control cultures. Global microarray and proteomic analyses revealed that 167 transcripts and 73 proteins changed expression with the conserved RNA-binding protein Hfq identified as a likely global regulator involved in the response to this environment. Hfq involvement was confirmed with a ground-based microgravity culture model. Space flight samples exhibited enhanced virulence in a murine infection model and extracellular matrix accumulation consistent with a biofilm. Strategies to target Hfq and related regulators could potentially decrease infectious disease risks during space flight missions and provide novel therapeutic options on Earth.
Environmental conditions and crew member immune dysfunction associated with space flight may increase the risk of infectious disease during a long-duration mission (14). However, our knowledge of microbial changes in response to space flight conditions and the corresponding changes to infectious disease risk is limited and unclear. Elucidation of such risks and the mechanisms behind any space flight-induced changes to microbial pathogens holds the potential to decrease risk for human exploration of space and provide insight into how pathogens cause infections in Earth-based environments. Numerous logistical and technological hurdles exist when performing biological space flight experimentation, and an extremely limited number of opportunities to perform such research are available. Accordingly, comprehensive analysis of cells, including pathogenic microbes, at the molecular and phenotypic level during space flight offers a rare opportunity to examine their behavior and response in this environment.
Previous studies using the enteric bacterial pathogen Salmonella enterica serovar Typhimurium showed that growth in a ground-based space flight analog bioreactor, termed the rotating wall vessel (RWV), induced global genotypic and phenotypic changes in this organism (57). Specifically, S. typhimurium grown in this space flight analog culture environment, described as low-shear modeled microgravity (LSMMG), exhibited increased virulence, increased resistance to environmental stresses (acid, osmotic, and thermal), increased survival in macrophages, and global changes in gene expression at the transcriptional and translational levels (57). Collectively, these results suggested the potential that the true space flight environment could globally alter bacterial genotypic and phenotypic responses. Thus, we designed an experimental approach to test our hypothesis, specifically to culture S. typhimurium during space flight and evaluate changes in microbial gene expression and virulence in response to this environment.
Our experiments were flown on Space Shuttle Atlantis Mission STS-115 (September 2006). In this experiment, cultures of S. typhimurium were activated to grow in space for a specific time period and then either fixed in an RNA/protein fixative or supplemented with additional growth media after this time period [supporting information (SI) Fig. 3]. At 2.5 h after landing at Kennedy Space Center, the culture samples were recovered and subsequently used for whole-genome transcriptional microarray and proteomic analysis (fixed samples) or for infections in a murine model of salmonellosis (media-supplemented samples). In each case, the flight culture samples were compared with culture samples grown under identical conditions on the ground at Kennedy Space Center using coordinated activation and termination times (by means of real-time communications with the Shuttle crew) in an insulated room that maintained temperature and humidity identical to those on the Shuttle (Orbital Environment Simulator). The culture experiments were loaded into specially designed hardware [termed fluid processing apparatus (FPA)] to facilitate controlled activation and fixation of the cultures while maintaining suitable culture containment requirements (SI Fig. 4).
To our knowledge, our results are the first documentation of changes in bacterial gene expression and microbial virulence in response to culture during space flight. Specifically, these findings demonstrate that the space flight environment imparts a signal that can induce molecular changes in bacterial cells. Furthermore, these results also provide direct evidence that this signal can alter the virulence of a microbial pathogen. Our collective data indicate that the conserved RNA-binding protein Hfq plays a central regulatory role in the microbial response to space flight conditions. Evaluation of microbial changes in response to this unique environment has the potential to provide heretofore unavailable insight into microbial response mechanisms to Earth-based environments, including those encountered by pathogens during the natural course of infection.

Results

Whole-Genome Transcriptional and Proteomic Analysis of Space Flight and Ground Cultures.

To determine which genes changed expression in response to space flight, total bacterial RNA was isolated from the fixed flight and ground samples, qualitatively analyzed to ensure lack of degradation by means of denaturing gel electrophoresis, quantitated, and then reverse-transcribed into labeled, single-stranded cDNA. The labeled cDNA was cohybridized with differentially labeled S. typhimurium genomic DNA to whole-genome S. typhimurium microarray slides. The cDNA signal hybridizing to each gene spot was quantitated, and the normalized, background-subtracted data were analyzed for statistically significant 2-fold or greater differences in gene expression between the flight and ground samples. We found 167 genes differentially expressed in flight as compared with ground controls from a variety of functional categories (69 up-regulated and 98 down-regulated) (SI Table 2). The proteomes of fixed cultures were also obtained by means of multidimensional protein identification analysis. We identified 251 proteins expressed in the flight and ground cultures, with 73 being present at different levels in these samples (SI Table 3). Several of the genes encoding these proteins were also identified by means of microarray analysis. Collectively, these gene expression changes form the first documented bacterial space flight stimulon indicating that bacteria respond to this environment with widespread alterations of expression of genes distributed globally throughout the chromosome (Fig. 1A).
Fig. 1.
Data from STS-115 S. typhimurium experiments. (A) Map of the 4.8-Mb circular S. typhimurium genome with the locations of the genes belonging to the space flight transcriptional stimulon indicated as black hash marks. (B) Decreased time to death in mice infected with flight S. typhimurium as compared with identical ground controls. Female BALB/c mice per-orally infected with 107 bacteria from either space flight or ground cultures were monitored every 6–12 h over a 30-day period, and the percent survival of the mice in each group is graphed versus the number of days. (C) Increased percent mortality of mice infected with space flight cultures across a range of infection dosages. Groups of mice were infected with increasing dosages of bacteria from space flight and ground cultures and monitored for survival over 30 days. The percent mortality (calculated as in ref. 23) of each dosage group is graphed versus the dosage amount. (D) Decreased LD50 value (calculated as in ref. 23) for space flight bacteria in a murine infection model. (E) SEM of space flight and ground S. typhimurium bacteria showing the formation of an extracellular matrix and associated cellular aggregation of space flight cells. (Magnification: ×3,500.)

Involvement of Hfq in Space Flight and LSMMG Responses.

Identification of one or more regulators of the space flight stimulon represents an important step in understanding the nature of this unique environmental signal. Our data indicated that a pathway involving the conserved RNA-binding regulatory protein Hfq played a role in this response (Table 1). Hfq is an RNA chaperone that binds to small regulatory RNA and mRNA molecules to facilitate mRNA translational regulation in response to envelope stress (in conjunction with the specialized σ factor RpoE), environmental stress (by means of alteration of RpoS expression), and changes in metabolite concentrations, such as iron levels (via the Fur pathway) (812). Hfq is also involved in promoting the virulence of several pathogens including S. typhimurium (13), and Hfq homologues are highly conserved across species of prokaryotes and eukaryotes (14). Our data strongly support a role for Hfq in the response to space flight: (i) The expression of hfq was decreased in flight, and this finding matched previous results in which S. typhimurium hfq gene expression was decreased in a ground-based model of microgravity (7). (ii) Expression of 64 genes in the Hfq regulon was altered in flight (32% of the total genes identified), and the directions of differential changes of major classes of these genes matched predictions associated with decreased hfq expression (see subsequent examples). (iii) Several small regulatory RNAs that interact with Hfq were differentially regulated in flight as would be predicted if small RNA/Hfq pathways are involved in a space flight response. (iv) The levels of OmpA, OmpC, and OmpD mRNA and protein are classic indicators of the RpoE-mediated periplasmic stress response, which involves Hfq (15). Transcripts encoding OmpA, OmpC, and OmpD (and OmpC protein level) were up-regulated in flight, correlating with hfq down-regulation. (v) Hfq promotes expression of a large class of ribosomal structural protein genes (12), and we found that many such genes exhibited decreased expression in flight. (vi) Hfq is a negative regulator of the large tra operon encoding the F plasmid transfer apparatus (16), and several tra genes from related operons on two plasmids present in S. typhimurium χ3339 were up-regulated in flight. (vii) Hfq is intimately involved in a periplasmic stress signaling pathway that depends on the activity levels of three key proteins, RpoE, DksA, and RseB; differential expression of these genes was observed in flight (8, 12). (viii) Hfq regulates the expression of the Fur protein and other genes involved in the iron response pathway, and we observed several iron utilization/storage genes with altered expression in flight (9, 11). This finding also matched previous results in which iron pathway genes in S. typhimurium changed expression in a ground-based model of microgravity, and the Fur protein was shown to play a role in stress resistance alterations induced in the same model (7).
Table 1.
Space flight stimulon genes belonging to Hfq regulon or involved with iron utilization or biofilm formation
GeneFold changeFunction
Hfq regulon genes (up-regulated)
Outer membrane proteins
    ompA2.05Outer membrane porin
    ompC2.44Outer membrane porin
    ompD3.34Outer membrane porin
Plasmid transfer apparatus
    traB4.71Conjugative transfer
    traN4.24Conjugative transfer
    trbA3.14Conjugative transfer
    traK2.91Conjugative transfer
    traD2.87Conjugative transfer
    trbC2.68Conjugative transfer
    traH2.59Conjugative transfer
    traX2.37Conjugative transfer
    traT2.34Conjugative transfer
    trbB2.32Conjugative transfer
    traG2.21Conjugative transfer
    traF2.11Conjugative transfer
    traR1.79Conjugative transfer
Various cellular functions
    gapA7.67Glyceraldehyde dehydrogenase
    sipC6.27Cell invasion protein
    adhE4.75Fe-dependent dehydrogenase
    glpQ2.58Glycerophosphodiesterase
    fliC2.11Flagellin, structural protein
    sbmA1.67ABC superfamily transporter
Hfq regulon genes (down-regulated)
Small RNAs
    αRBS0.305Small RNA
    rnaseP0.306Small RNA regulatory
    csrB0.318Small RNA regulatory
    tke10.427Small RNA
    oxyS0.432Small RNA regulatory
    RFN0.458Small RNA
    rne50.499Small RNA
Ribosomal proteins
    rpsL0.25130S ribosomal subunit protein S12
    rpsS0.28930S ribosomal subunit protein S19
    rplD0.39350S ribosomal subunit protein L4
    rpsF0.40130S ribosomal subunit protein S6
    rplP0.42250S ribosomal subunit protein L16
    rplA0.42350S ribosomal subunit protein L1
    rpme20.47350S ribosomal protein L31
    rplY0.55150S ribosomal subunit protein L25
Various cellular functions
    ynaF0.201Putative universal stress protein
    ygfE0.248Putative cytoplasmic protein
    dps0.273Stress response protein
    hfq0.298Host factor for phage replication
    osmY0.318Hyperosmotically inducible protein
    mysB0.341Suppresses protein export mutants
    rpoE0.403σE (σ24) factor
    cspD0.421Similar to CspA; not cold-induced
    nlpb0.435Lipoprotein-34
    ygaC0.451Putative cytoplasmic protein
    ygaM0.453Putative inner membrane protein
    gltI0.479ABC glutamate/aspartate transporter
    ppiB0.482Peptidyl-prolyl isomerase B
    atpE0.482Membrane-bound ATP synthase
    yfiA0.482Ribosome-associated factor
    trxA0.493Thioredoxin 1, redox factor
    nifU0.496Fe-S cluster formation protein
    rbfA0.506Ribosome-binding factor
    rseB0.514Anti-σE factor
    yiaG0.528Putative transcriptional regulator
    ompX0.547Outer membrane protein
    rnpA0.554RNase P, protein component
    hns0.554DNA-binding protein
    lamB0.566Phage λ receptor protein
    rmf0.566Ribosome modulation factor
    tpx0.566Thiol peroxidase
    priB0.571Primosomal replication protein N
Iron utilization/storage genes
adhE4.76Fe-dependent dehydrogenase
entE2.242,3-dihydroxybenzoate-AMP ligase
hydN2.03Electron transport (FeS center)
dmsC0.497Anaerobic DMSO reductase
nifU0.495Fe-S cluster formation protein
fnr0.494Transcriptional regulator, Fe-binding
fdnH0.458Fe-S formate dehydrogenase-N
frdC0.411Fumarate reductase, anaerobic
bfr0.404Bacterioferrin, iron storage
ompW0.276Outer membrane protein W
dps0.273Stress response protein and ferritin
Genes implicated in/associated with biofilm formation
wza2.30Polysaccharide export protein
wcaI2.07Putative glycosyl transferase
ompA2.06Outer membrane protein
wcaD1.82Putative colanic acid polymerase
wcaH1.76GDP-mannose mannosyl hydrolase
manC1.71Mannose guanylyltransferase
wcaG1.68Bifunctional GDP fucose synthetase
wcaB1.64Putative acyl transferase
fimH1.61Fimbrial subunit
fliS0.339Flagellar biosynthesis
flgM0.343Flagellar biosynthesis
flhD0.356Flagellar biosynthesis
fliE0.438Flagellar biosynthesis
fliT0.444Flagellar biosynthesis
cheY0.461Chemotaxic response
cheZ0.535Chemotaxic response
For specific parameters used to identify these genes, please see Materials and Methods.
Given these findings, we designed experiments to verify a role for Hfq in the space flight response using a cellular growth apparatus that serves as a ground-based model of microgravity conditions termed the RWV bioreactor (SI Fig. 5). Designed by the National Aeronautics and Space Administration, the RWV has been extensively used in this capacity to study the effects of a biomedically relevant low-fluid-shear growth environment (which closely models the liquid growth environment encountered by cells in the microgravity environment of space flight as well as by pathogens during infection of the host) on various types of cells (6, 1719). Studies with the RWV involve using two separate apparatuses: one is operated in the low shear modeled microgravity position (LSMMG), and one is operated as a control in a position (termed 1 × g) where sedimentation due to gravity is not offset by the rotating action of the vessel.
LSMMG-induced alterations in acid stress resistance and macrophage survival of S. typhimurium have previously been shown to be associated with global changes in gene expression and virulence (5, 7). We grew WT and isogenic hfq mutant strains of S. typhimurium in the RWV in the LSMMG and 1 × g positions and assayed the acid stress response and macrophage survival of these cultures. Whereas the WT strain displayed a significant difference in acid resistance between the LSMMG and 1 × g cultures, this response was not observed in the hfq mutant, which contains a deletion of the hfq gene and replacement with a Cm-r cassette (Fig. 2A). Two control strains, hfq 3′Cm (containing an insertion of the Cm-r cassette just downstream of the WT hfq gene) and invA kanamycin (Km) (containing a Km-r insertion in a gene unrelated to stress resistance), gave the same result as the WT strain. We also observed increased intracellular replication of the LSMMG-grown WT (hfq 3′Cm) strain in infected J774 macrophages as compared with the 1 × g control, and this phenotype was not observed in the hfq mutant strain (Fig. 2B). Collectively, these data indicate that Hfq is involved in the bacterial space flight response as confirmed in a ground-based model of microgravity conditions. In addition, the intracellular replication phenotype inside macrophages correlates with the finding that space flight and LSMMG cultures exhibit increased virulence in mice (see next paragraph and ref. 5).
Fig. 2.
Hfq is required for S. typhimurium LSMMG-induced phenotypes in RWV culture. (A) The survival ratio of WT and isogenic hfq, hfq 3′Cm, and invA mutant strains in acid stress after RWV culture in the LSMMG and 1 × g positions is plotted (P < 0.05, ANOVA). (B) Fold intracellular replication of S. typhimurium strains hfq 3′Cm and Δhfq in J774 macrophages after RWV culture as above. Intracellular bacteria were quantitated at 2 h and 24 h after infection, and the fold increase in bacterial numbers between those two time periods was calculated (P < 0.05, ANOVA).

Increased Virulence of S. typhimurium Grown in Space Flight as Compared with Ground Controls.

Because growth during space flight and potential global reprogramming of gene expression in response to this environment could alter the virulence of a pathogen, we compared the virulence of S. typhimurium space flight samples to identical ground controls as a second major part of our study. Bacteria from flight and ground cultures were harvested and immediately used to inoculate female BALB/c mice via a per-oral route of infection on the same day as the Shuttle landing. Two sets of mice were infected at increasing dosages of either flight or ground cultures, and the health of the mice was monitored every 6–12 h for 30 days. Mice infected with bacteria from the flight cultures displayed a decreased time to death (at the 107 dosage), increased percent mortality at each infection dosage, and a decreased LD50 value compared with those infected with ground controls (Fig. 1 B–D). These data indicate increased virulence for space flight S. typhimurium samples and are consistent with previous studies in which the same strain of S. typhimurium grown in the RWV under LSMMG conditions displayed enhanced virulence in a murine model as compared with 1 × g controls (5).

SEM of Space Flight and Ground Cultures.

To determine any morphological differences between flight and ground cultures, SEM analysis of bacteria from these samples was performed. Although no difference in the size and shape of individual cells in both cultures was apparent, the flight samples demonstrated clear differences in cellular aggregation and clumping that was associated with the formation of an extracellular matrix (Fig. 1E). Consistent with this finding, several genes associated with surface alterations related to biofilm formation changed expression in flight (up-regulation of wca/wza colonic acid synthesis operon, ompA, fimH; down-regulation of motility genes) (Table 1). SEM images of other bacterial biofilms show a similar matrix accumulation (20, 21). Because extracellular matrix/biofilm formation can help to increase survival of bacteria under various conditions, this phenotype indicates a change in bacterial community potentially related to the increased virulence of the flight bacteria in the murine model.

Discussion

To our knowledge, these results represent the first documented gene expression changes that occur in bacterial cells (and any microbial pathogen) during space flight and accordingly demonstrate that a microgravity growth condition provides an environmental signal that can induce molecular changes in bacterial cells. To our knowledge, these results also provide the first direct evidence that growth during space flight can alter the virulence of a pathogen; in this study, S. typhimurium grown in space flight displayed increased virulence in a murine infection model compared with identical ground controls. Importantly, these results correlate with previous findings in which the same strain of S. typhimurium displayed increased virulence in the murine model after growth in the low-shear microgravity-like conditions of the RWV bioreactor. In agreement with the increased virulence observed in the space flight samples, bacteria cultured in flight exhibited cellular aggregation and extracellular matrix formation consistent with biofilm production. Moreover, several Salmonella genes associated with biofilm formation changed expression in flight. In addition, the space flight analogue culture environment of the RWV was used to verify a mechanistic role for Hfq as a global regulator of microbial responses during growth in low-shear microgravity-like growth conditions similar to those found in space flight liquid culture.
Strategies designed to counteract the virulence-enhancing effects of space flight in microbes provide important potential benefits to crew health and open insight into novel antimicrobial strategies on Earth. Accordingly, the identification of global regulators, such as Hfq, that coordinate microbial responses to these biomedically relevant environments provides targets at which these strategies can be directed. Hfq is an RNA-binding global regulatory protein that is conserved in a wide range of organisms, both prokaryotes and eukaryotes, and primarily acts as a chaperone to stabilize interactions between small RNA and mRNA molecules (14). Further study is needed to determine whether changes in Hfq regulon expression under space flight and LSMMG space flight analogue conditions alter critical RNA interactions that control virulence and other microbial responses. Because low fluid shear is encountered by pathogens in the host, these responses may be important for bacterial reprogramming during transitions between environments of different physiological fluid shear levels (such as from the flow of a lumen to the protected environment between brush border microvilli), which results in enhanced survival and infection.

Materials and Methods

Strains, Media, and Chemical Reagents.

The virulent, mouse-passaged S. typhimurium derivative of SL1344 termed χ3339 was used as the WT strain in all flight- and ground-based experiments (5). Isogenic derivatives of SL1344 with mutations Δhfq, hfq 3′Cm, and invA Km were used in ground-based experiments (13, 22). The Δhfq strain contains a deletion of the hfq ORF and replacement with a chloramphenicol resistance cassette, and the hfq 3′Cm strain contains an insertion of the same cassette immediately downstream of the WT hfq ORF. The invA Km strain contains a Km resistance cassette inserted in the invA ORF. Lennox broth was used as the growth medium in all experiments (5), and PBS (Invitrogen, Carlsbad, CA) was used to resuspend bacteria for use as inoculum in the FPAs. The RNA fixative RNA Later II (Ambion, Austin, TX), glutaraldehyde (16%; Sigma, St. Louis, MO), and formaldehyde (2%; Ted Pella, Redding, CA) were used as fixatives in flight experiments.

Loading of FPA.

An FPA consists of a glass barrel that can be divided into compartments (by means of the insertion of rubber stoppers) and a lexan sheath into which the glass barrel is inserted (see SI Fig. 4). Each compartment in the glass barrel was filled with a solution in an order such that the solutions would be mixed at specific time points in flight via two actions: (i) downward plunging action on the rubber stoppers and (ii) passage of the fluid in a given compartment through a bevel on the side of the glass barrel such that it was released into the compartment below. Glass barrels and rubber stoppers were coated with a silicone lubricant (Sigmacote; Sigma) and autoclaved separately before assembly. A stopper with a gas-exchange membrane was inserted just below the bevel in the glass barrel before autoclaving. FPA assembly was performed aseptically in a laminar flow hood in the following order: 2.0 ml of Lennox broth medium on top of the gas-exchange stopper, one rubber stopper, 0.5 ml of PBS containing bacterial inoculum (≈6.7 × 106 bacteria), another rubber stopper, 2.5 ml of either RNA fixative or Lennox broth medium, and a final rubber stopper. Syringe needles (gauge 25 5/8) were inserted into rubber stoppers during this process to release air pressure and facilitate assembly. To facilitate group activation of FPAs during flight and to ensure proper containment levels, sets of eight FPAs were loaded into larger containers termed group activation packs.

Murine Infection Assay.

Six- to 8-week-old female BALB/c mice (housed in the Animal Facility at the Space Life Sciences Laboratory at Kennedy Space Center) were fasted for ≈6 h and then per-orally infected with increasing dosages of S. typhimurium harvested from flight and ground FPA cultures and resuspended in buffered saline gelatin (5). Ten mice per infectious dosage were used, and food and water were returned to the animals within 30 min after infection. The infected mice were monitored every 6–12 h for 30 days. The LD50 value was calculated by using the formula of Reed and Muench (23).

SEM.

A portion of cells from the viable, media-supplemented cultures from flight and ground FPAs was fixed for SEM analysis by using 8% glutaraldehyde and 1% formaldehyde and was processed for SEM as described previously (24).

Microarray Analysis.

Total cellular RNA purification, preparation of fluorescently labeled, single-stranded cDNA probes, probe hybridization to whole-genome S. typhimurium microarrays, and image acquisition were performed as previously described (7) using three biological and three technical replicates for each culture condition. Flow cytometric analysis revealed that cell numbers in flight and ground biological replicate cultures were not statistically different (using SYTO-BC dye per the manufacturer's recommendations; Invitrogen). Data from stored array images were obtained with QuantArray software (Packard Bioscience, Billerica, MA) and statistically analyzed for significant gene expression differences by using the Webarray suite as described previously (25). GeneSpring software was also used to validate the genes identified with the Webarray suite. To obtain the genes comprising the space flight stimulon as listed in SI Table 2, the following parameters were used in Webarray: a fold increase or decrease in expression of 2-fold or greater, a spot quality (A value) of >9.5, and P value of <0.05. For some genes listed in Table 1, the following parameters were used: a fold increase or decrease in expression of value >1.6 or <0.6, respectively, an A value of 8.5 or greater, and P value of <0.1. The vast majority of genes listed in Table 1 had an A value of >9.0 (with most being >9.5) and a P value of 0.05 or less. The exceptions were as follows: sbmA (P = 0.06), oxyS (A = 8.81), rplY (A = 8.95), cspD (A = 8.90), yfiA (P = 0.08), ompX (P = 0.09), hns (P = 0.08), rmf (A = 8.82), wcaD (P = 0.09), and fliE (A = 8.98). To identify space flight stimulon genes also contained in the Hfq regulon, proteins or genes found to be regulated by Hfq or RNAs found to be bound by Hfq as reported in the indicated references were scanned against the space flight microarray data for expression changes within the parameters above (8, 12, 13, 16, 26).

Multidimensional Protein Identification Analysis via Tandem MS Coupled to Dual Nano-Liquid Chromatography.

Acetone–protein precipitates from whole-cell lysates obtained from flight and ground cultures (representing three biological replicates) were subjected to multidimensional protein identification analysis using the tandem MS–dual nano-liquid chromatography technique as described previously (27, 28). Tandem MS spectra of peptides were analyzed with TurboSEQUEST version 3.1 and XTandem software, and the data were further analyzed and organized by using the Scaffold program (29, 30). Please see SI Table 3 for the specific parameters used in Scaffold to identify the proteins in this study.

Ground-Based RWV Cultures and Acid Stress and Macrophage Survival Assays.

S. typhimurium cultures were grown in the RWV in the LSMMG and 1 × g orientations and assayed for resistance to pH 3.5 and survival inside J774 macrophages as described previously (5), except that the RWV cultures were grown for 24 h at 37°C. For acid stress assays, the percentage of surviving bacteria present after 45–60 min of acid stress (compared with the original number of bacteria before addition of the stress) was calculated. A ratio of the percent survival values for the LSMMG and 1 × g cultures was obtained (indicating the fold difference in survival between these cultures) and is presented as the acid survival ratio in Fig. 2A. The mean and standard deviation from three independent experimental trials are presented. For macrophage survival assays, the number of bacteria present inside J774 macrophages at 2 h and 24 h after infection was determined, and the fold difference between these two numbers was calculated. The mean and standard deviation of values from three independent experimental trials (each done in triplicate tissue culture wells) are presented. The statistical differences observed in the graphs in Fig. 2 were calculated at P < 0.05.

Abbreviations

LSMMG
low-shear modeled microgravity
RWV
rotating wall vessel
FPA
fluid processing apparatus
Km
konamycin.

Data Availability

Data deposition: The data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE8573).

Acknowledgments

We thank all supporting team members at Kennedy Space Center, Johnson Space Center, Ames Research Center, Marshall Space Flight Center, and BioServe Space Technologies; the Crew of STS-115; and Neal Pellis, Roy Curtiss III, Marc Porter, Brian Haight, Shawn Watts, Michael Caplan, Joseph Caspermeyer, Clint Coleman, and Charles Arntzen. This work was supported by National Aeronautics and Space Administration Grant NCC2-1362 (to C.A.N.), Louisiana Board of Regents Grant NNG05GH22H (to C.B.-C.), the Arizona Proteomics Consortium (supported by National Institute on Environmental Health Sciences Grant ES06694 to the Southwest Environmental Health Sciences Center), National Institutes of Health/National Cancer Institute Grant CA023074 (to the Arizona Cancer Center), and the BIO5 Institute of the University of Arizona.

Supporting Information

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Adobe PDF - 07155Table2.pdf
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Information & Authors

Information

Published in

Go to Proceedings of the National Academy of Sciences
Go to Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences
Vol. 104 | No. 41
October 9, 2007
PubMed: 17901201

Classifications

Data Availability

Data deposition: The data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE8573).

Submission history

Received: July 30, 2007
Published online: October 9, 2007
Published in issue: October 9, 2007

Keywords

  1. microgravity
  2. Space Shuttle
  3. low shear modeled microgravity
  4. rotating wall vessel
  5. Salmonella

Acknowledgments

We thank all supporting team members at Kennedy Space Center, Johnson Space Center, Ames Research Center, Marshall Space Flight Center, and BioServe Space Technologies; the Crew of STS-115; and Neal Pellis, Roy Curtiss III, Marc Porter, Brian Haight, Shawn Watts, Michael Caplan, Joseph Caspermeyer, Clint Coleman, and Charles Arntzen. This work was supported by National Aeronautics and Space Administration Grant NCC2-1362 (to C.A.N.), Louisiana Board of Regents Grant NNG05GH22H (to C.B.-C.), the Arizona Proteomics Consortium (supported by National Institute on Environmental Health Sciences Grant ES06694 to the Southwest Environmental Health Sciences Center), National Institutes of Health/National Cancer Institute Grant CA023074 (to the Arizona Cancer Center), and the BIO5 Institute of the University of Arizona.

Notes

This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/cgi/content/full/0707155104/DC1.

Authors

Affiliations

J. W. Wilson
Center for Infectious Diseases and Vaccinology,
Tulane University Health Sciences Center, New Orleans, LA 70112;
C. M. Ott
Habitability and Environmental Factors Division and
K. Höner zu Bentrup
Tulane University Health Sciences Center, New Orleans, LA 70112;
R. Ramamurthy
Tulane University Health Sciences Center, New Orleans, LA 70112;
L. Quick
Center for Infectious Diseases and Vaccinology,
S. Porwollik
Sidney Kimmel Cancer Center, San Diego, CA 92121;
P. Cheng
Sidney Kimmel Cancer Center, San Diego, CA 92121;
M. McClelland
Sidney Kimmel Cancer Center, San Diego, CA 92121;
G. Tsaprailis
Center for Toxicology, University of Arizona, Tucson, AZ 85721;
T. Radabaugh
Center for Toxicology, University of Arizona, Tucson, AZ 85721;
A. Hunt
Center for Toxicology, University of Arizona, Tucson, AZ 85721;
D. Fernandez
Center for Infectious Diseases and Vaccinology,
E. Richter
Center for Infectious Diseases and Vaccinology,
M. Shah
Center for Glycoscience Technology,
M. Kilcoyne
Center for Glycoscience Technology,
L. Joshi
Center for Glycoscience Technology,
M. Nelman-Gonzalez
Wyle Laboratories, Houston, TX 77058;
S. Hing
Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA 94035;
M. Parra
Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA 94035;
P. Dumars
Ames Research Center, National Aeronautics and Space Administration, Moffett Field, CA 94035;
K. Norwood
Space Life Sciences Laboratory, Kennedy Space Center, Cape Canaveral, FL 32920;
R. Bober
Space Life Sciences Laboratory, Kennedy Space Center, Cape Canaveral, FL 32920;
J. Devich
Space Life Sciences Laboratory, Kennedy Space Center, Cape Canaveral, FL 32920;
A. Ruggles
Space Life Sciences Laboratory, Kennedy Space Center, Cape Canaveral, FL 32920;
C. Goulart
BioServe, University of Colorado, Boulder, CO 80309;
M. Rupert
BioServe, University of Colorado, Boulder, CO 80309;
L. Stodieck
BioServe, University of Colorado, Boulder, CO 80309;
P. Stafford
Center for Innovations in Medicine, and
L. Catella
Space Life Sciences Laboratory, Kennedy Space Center, Cape Canaveral, FL 32920;
M. J. Schurr
Tulane University Health Sciences Center, New Orleans, LA 70112;
University of Colorado at Denver and Health Sciences Center, Denver, CO 80262;
K. Buchanan
Tulane University Health Sciences Center, New Orleans, LA 70112;
Oklahoma City University, Oklahoma City, OK 73106;
L. Morici
Tulane University Health Sciences Center, New Orleans, LA 70112;
J. McCracken
Tulane University Health Sciences Center, New Orleans, LA 70112;
Section of General Surgery, University of Chicago, Chicago, IL 60637;
P. Allen
Tulane University Health Sciences Center, New Orleans, LA 70112;
Southeast Louisiana Veterans Health Care System, New Orleans, LA 70112; and
C. Baker-Coleman
Tulane University Health Sciences Center, New Orleans, LA 70112;
Southeast Louisiana Veterans Health Care System, New Orleans, LA 70112; and
T. Hammond
Tulane University Health Sciences Center, New Orleans, LA 70112;
Southeast Louisiana Veterans Health Care System, New Orleans, LA 70112; and
J. Vogel
RNA Biology Group, Max Planck Institute for Infection Biology, 10117 Berlin, Germany
R. Nelson
Center for Combinatorial Sciences, The Biodesign Institute, Arizona State University, Tempe, AZ 85287;
D. L. Pierson
Habitability and Environmental Factors Division and
H. M. Stefanyshyn-Piper
Astronaut Office, Johnson Space Center, National Aeronautics and Space Administration, Houston, TX 77058;
C. A. Nickersons [email protected]
Center for Infectious Diseases and Vaccinology,
Tulane University Health Sciences Center, New Orleans, LA 70112;

Notes

s
To whom correspondence should be addressed at: The Biodesign Institute, Center for Infectious Diseases and Vaccinology, Arizona State University, 1001 South McAllister Avenue, Tempe, AZ 85287. E-mail: [email protected]
Author contributions: J.W.W., C.M.O., K.H.z.B., R.R., L.Q., S.P., P.C., M.M., G.T., T.R., A.H., D.F., E.R., M.S., M.K., L.J., M.N.-G., S.H., M.P., P.D., K.N., R.B., J.D., A.R., C.G., M.R., L.S., L.C., M.J.S., K.B., L.M., J.M., P.A., C.B.-C., T.H., and C.A.N. designed research; J.W.W., C.M.O., K.H.z.B., R.R., L.Q., S.P., P.C., M.M., G.T., T.R., A.H., D.F., E.R., M.S., M.K., M.N.-G., S.H., M.P., P.D., C.G., M.R., M.J.S., K.B., L.M., J.M., P.A., C.B.-C., T.H., H.M.S.-P., and C.A.N. performed research; S.P., P.C., M.M., G.T., T.R., A.H., L.J., M.N.-G., L.S., P.S., J.V., R.N., and D.L.P. contributed new reagents/analytic tools; J.W.W., C.M.O., K.H.z.B., R.R., L.Q., S.P., P.C., M.M., G.T., T.R., A.H., D.F., E.R., M.S., M.K., L.J., M.N.-G., P.S., M.J.S., K.B., L.M., P.A., C.B.-C., T.H., and C.A.N. analyzed data; and J.W.W., C.M.O., and C.A.N. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

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