Next Article in Journal
Helicity Distributions of Single-Walled Carbon Nanotubes and Its Implication on the Growth Mechanism
Next Article in Special Issue
Development and Evaluation of Polyvinyl Alcohol-Hydrogels as an Artificial Atrticular Cartilage for Orthopedic Implants
Previous Article in Journal
Computational Study of Ferrocene-Based Molecular Frameworks with 2,5-Diethynylpyridine as a Chemical Bridge
Previous Article in Special Issue
Current and Emerging Detoxification Therapies for Critical Care
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:

Gene Expression, Bacteria Viability and Survivability Following Spray Drying of Mycobacterium smegmatis

Harvard School of Engineering and Applied Sciences, 58 Oxford Street, ESL 406, Cambridge, MA 02138, USA
Harvard School of Engineering and Applied Sciences, 29 Oxford Street, 322 Pierce Hall, Cambridge, MA 02138, USA
Wyss Institute of Biologically Inspired Engineering, Harvard University HIM, 10th Floor,4 Blackfan Circle, Boston, MA 02115, USA
Authors to whom correspondence should be addressed.
Materials 2010, 3(4), 2684-2724;
Received: 13 January 2010 / Revised: 23 March 2010 / Accepted: 8 April 2010 / Published: 13 April 2010
(This article belongs to the Special Issue Advances in Biomaterials)


We find that Mycobacterium smegmatis survives spray drying and retains cell viability in accelerated temperature stress (40 °C) conditions with a success rate that increases with increasing thermal, osmotic, and nutrient-restriction stresses applied to the mycobacterium prior to spray drying. M. smegmatis that are spray dried during log growth phase, where they suffer little or no nutrient-reduction stress, survive for less than 7 days in the dry powder state at accelerated temperature stress conditions, whereas M. smegmatis that are spray dried during stationary phase, where cells do suffer nutrient reduction, survive for up to 14 days. M. smegmatis that are spray dried from stationary phase, subjected to accelerated temperature stress conditions, regrown to stationary phase, spray dried again, and resubmitted to this same process four consecutive times, display, on the fourth spray drying iteration, an approximate ten-fold increase in stability during accelerated temperature stress testing, surviving up to 105 days. Microarray tests revealed significant differences in genetic expression of M. smegmatis between log phase and stationary phase conditions, between naïve (non spray-dried) and multiply cycled dried M. smegmatis (in log and stationary phase), and between M. smegmatis in the dry powder state following a single spray drying operation and after four consecutive spray drying operations. These differences, and other phenotypical differences, point to the carotenoid biosynthetic pathway as a probable pathway contributing to bacteria survival in the spray-dried state and suggests strategies for spray drying that may lead to significantly greater room-temperature stability of mycobacteria, including mycobacterium bovis bacille Calmette-Guerin (BCG), the current TB vaccine.

1. Introduction

Tuberculosis kills more than three million people annually and is ranked among the top ten causes of global mortality and morbidity [1]. The current Mycobacterium bovis bacille Calmette-Guerin (BCG) TB vaccine, which is given intradermally to 100 million infants annually, is formulated as a dry powder via freeze drying (lyophilization) [2,3]. This process typically results in a live attenuated vaccine with 10–30% viability relative to the pre-dried formulation [4]. When kept at refrigerated conditions the commercial lyophilized BCG loses approximately one log of activity after one year to 18 months on the shelf. This is dramatically reduced when placed at room temperature stability conditions (25 °C) resulting in a month or two of accepted viability [1]. Preserving the viability of BCG in dried powders is thought to be an important factor in the potency of the vaccine [5]. Thermostability is of particular importance due to the rugged conditions typically encountered in the regions of the world affected by infectious disease.
Previous work in our lab has shown that we have been able to improve on the typical viability and stability achieved through lyophilization. This is done by spray drying the bacteria in a dilute osmolyte solution. Increasing the osmolyte concentration in spray dried solution leads to less viability ultimately reflecting stresses that lead to cell death [6].
In general mycobacteria have well known cellular responses to environmental crisis and stresses such as heat shock, cold shock, nutrient limitation, and osmotic and oxidative stresses [7]. During the formulation process mycobacteria are exposed to stresses, which can cause cell damage and death. It is likely that bacteria that can survive the spray drying process more significantly express protective agents that render these bacteria more resistant to osmotic, heat and nutrient limitation stresses. We have therefore hypothesized that by repeatedly exposing bacteria to stresses involved in the processes of spray drying and dry state containment, we might succeed in selecting for bacteria populations with greater biochemical and biophysical ability to survive.
We chose to work with M. smegmatis as an illustrative mycobacterium given relative rapid growth and previous experience in spray drying. We spray dry M. smegmatis in dilute osmolyte conditions, recover the dry powder and expose the dry powder to 40 °C conditions sufficiently long enough to eliminate nearly all viable bacteria. We then re-suspend the highly stressed dry powder in culture media and grow the remaining live bacteria to stationary phase. This process was repeated (cycled) several times after which we examined the bacterial RNA through microarrays to quantify differences in gene expression.
By selecting viable bacteria in harsh stability conditions and identifying protective factors that allow them to survive, we hope to identify mechanisms through which highly robust and thermostable bacteria may be formulated so as to persist in the dry powder state. Ideally these results could then be applied to a broad range of live or attenuated whole-cell vaccines against infectious pathogens including M. tuberculosis.

2. Results and Discussion

M. smegmatis cultures were formulated into dry powders and placed in accelerated stability conditions at 40 °C and the viability was followed over time. The dry powders were prepared from: (1) bacteria growing in optimal exponential growth phase conditions (2) bacteria that had entered stationary phase and (3) bacteria that were exposed to repeated spray drying and post-drying exposure to 40 °C conditions – for four cycles of spray drying.

2.1. Viability

As illustrated in Figure 1, bacteria dried after growing in log phase conditions exhibit the least resistance to the accelerated stability conditions, resulting in complete loss of viability within 7 days (n = 3). When the bacteria are grown to stationary phase for 24 hours, and then spray dried, they are able to survive longer in the desiccated state at accelerated stability conditions, with no detectable colonies after 14 days (n = 3). Viability over time in the desiccated state continued to increase as the formulations were cycled through the drying and heat-exposure process. “Cycling” consisted of repeated application of the following steps: first culturing bacteria to stationary phase, then processing cultures for spray drying (centrifugation and re-suspension in low osmolyte excipient solutions), then spray drying, then collecting and processing the dry powder (vial filling), then incubating the vials at 40 °C in stability chambers until viable bacteria were mostly eliminated, then culturing surviving bacteria from dry powder to stationary phase. After repeating the cycle four times (“multiply cycled bacteria”) the bacteria showed an almost 10-fold increase in stability with the ability to form colonies until 105 days (n = 3).
Figure 1. Viability comparison of dry powder M. smegmatis spray dried under various conditions. Normalized log CFU viability of M. smegmatis spray dried at log phase growth and stored at 40 °C (■). Normalized log CFU viability of M. smegmatis spray dried at stationary phase growth and stored at 40 °C (▲). Normalized log CFU viability of multiply cycled M. smegmatis stored at 40 °C (◇). Error bars represent maximum and minimum CFU at each time point across n. For cycled bacteria n = 3 was performed on the final (fourth) cycle.
Figure 1. Viability comparison of dry powder M. smegmatis spray dried under various conditions. Normalized log CFU viability of M. smegmatis spray dried at log phase growth and stored at 40 °C (■). Normalized log CFU viability of M. smegmatis spray dried at stationary phase growth and stored at 40 °C (▲). Normalized log CFU viability of multiply cycled M. smegmatis stored at 40 °C (◇). Error bars represent maximum and minimum CFU at each time point across n. For cycled bacteria n = 3 was performed on the final (fourth) cycle.
Materials 03 02684 g001

2.2. Phenotype

The increased viability over time of multiply cycled bacteria was accompanied by some minor changes in growth rate and overall gross morphology differences between the colony forming units. In log growth phases, the wild type non-spray dried bacteria exhibited a doubling time of 2.4 ± 0.3 hours (n = 3), whereas multiply cycled bacteria doubled approximately every 3.1 ± 0.1 hours (n = 3) (Figure 2). Surface topology was identical between colonies with both the non-previously spray dried bacteria and the multiply cycled bacteria exhibiting rough morphology. Strikingly, the color of the multiply cycled bacteria colonies differed from the non-spray dried bacteria. Approximately 30 ± 5% of the colonies on multiply cycled plates were orange pigmented upon removal from the plate incubator whereas only 5 ± 3% of the wild type non-spray dried plates were orange colored upon removal. This pigmented phenotype began to emerge after the second spray drying cycle and became dominant by the fourth cycle. The proportion of multiply cycled colonies exhibiting pigmentation, as well as the intensity of the pigmentation, increased when plates were left on the bench-top and exposed to light and air. The percentage of heavily pigmented colonies grew to greater than 90% ± 5% after 1 day exposure to light and air (Figure 3).
Figure 2. Optical density growth curves over time of non-spray dried M. smegmatis (◆) and multiply cycled M. smegmatis (●).
Figure 2. Optical density growth curves over time of non-spray dried M. smegmatis (◆) and multiply cycled M. smegmatis (●).
Materials 03 02684 g002
Figure 3. M. smegmatis colony forming units of (a) wild-type non-spray dried bacteria and (b) multiply-cycled bacteria after 1 day exposure to light and air. Bacteria are not exposed to light during incubation. The orange phenotype will emerge in the wild-type strain after exposure to air and light at low frequency. Multiply-cycled bacteria emerge from the incubator with the orange phenotype which becomes more intense upon exposure to light and air.
Figure 3. M. smegmatis colony forming units of (a) wild-type non-spray dried bacteria and (b) multiply-cycled bacteria after 1 day exposure to light and air. Bacteria are not exposed to light during incubation. The orange phenotype will emerge in the wild-type strain after exposure to air and light at low frequency. Multiply-cycled bacteria emerge from the incubator with the orange phenotype which becomes more intense upon exposure to light and air.
Materials 03 02684 g003

2.3. Gene Expression

We performed two sets of gene expression experiments to uncover factors important for sustained viability in the dry powder formulation process. In the first experiment we examined gene expression in log phase and stationary phase cultures of bacteria, neither of which had been previously exposed to spray drying. In our second set of experiments we compared gene expression in non-previously spray dried bacteria to that in multiply spray dried bacteria. In this case we made head-to-head comparisons in log phase, stationary phase, and dry powders that had 24 hour exposure to accelerated stress conditions.

2.3.1. Log versus Stationary Comparison in Non-Spray Dried Cultures

We extracted RNA from log phase (O.D. = 1.0) and stationary phase (O.D. > 3.0) bacteria and performed four microarrays - two biological replicates each with a dye swap to minimize dye specific bias. As expected, significant differential gene expression was observed. Out of approximately 7000 genes on the microarray, about 2500 were differentially expressed at a p-value < 0.05 level of significance. Out of these 2500 genes, approximately 1400 were differentially expressed with a p-value < 0.01. The log 2 median average intensity of the M. smegmatis spots was 9.8 whereas the median average intensity for the A. thaliana control spots was 7.2. This indicated that signal was, on average, 5-fold greater than non-specific cross-hybridization noise.
Genes up-regulated in log phase over stationary phase included a nearly complete complement of ribosomal proteins (Appendix Table 1) as well genes that are important for growth including electron transport (e.g. ATP synthase components), energy metabolism (e.g. TCA cycle enzymes), and cell maintenance needs (e.g. lipid metabolism and protein folding) (Appendix Table 2). Genes up-regulated in stationary phase over log phase included those typically associated with states of stress including catalases, nitrite reductases, alternative sigma factors, and various amino acid permeases and transporters (Appendix Table 3). Two clusters related to the expression and assembly of [NiFe] hydrogenase were up-regulated along with other stress related genes included UsfY (MSMEG_1769 and MSMEG_1791), the starvation-induced DNA protecting protein (MSMEG_6467), the sporulation factor WhiB (MSMEG_1597 and MSMEG_1953), and L-lysine-epsilon aminotransferase (MSMEG_1764).
Since differential regulation of gene expression is mainly controlled by the presence of primary and alternative sigma factors we expected to see significant up-regulation of MysA (primary housekeeping factor) in log phase and sigB and sigF in stationary phase (stress related factors) [8]. While we found that these were three of the six most highly expressed transcripts, as measured by average intensity across all channels, there was little evidence of differential expression (Appendix Table 4). Instead we found that two sigma factors related to the sigma-54 factor (nitrogen limitation and alternative carbon utilization [9]) and two sigD factors (alternative stress [10]) were most differentially expressed with respect to stationary phase as well as a large (100kD), uncharacterized sigma factor expressed with respect to log phase.

2.3.2. Non-Previously Spray Dried versus Cycled

In our second set of experiments, we performed microarray analysis that compared gene expression in bacteria that had never been spray dried to that in bacteria that had been subjected to multiple spray drying cycles. We compared the differently processed bacteria by performing four microarrays in log phase (two biological replicates each with a dye swap), three microarrays in stationary phase (two biological replicates with a single swap), and two microarrays in dry powder form (single biological sample with a dye swap). In the log phase comparison, 79 genes were differentially expressed with a p-value < 0.05 of which 36 were differentially expressed at a p-value < 0.01 level of significance. All but two of these genes, acyl-CoA dehrydrogenase (MSMEG_1821) and malonyl CoA-acyl carrier protein transacylase (MSMEG_4325), were upregulated in the multiply cycled bacteria.
In the stationary phase comparison there were no genes differentially expressed at p-value < 0.05 level of significance. However, using the log odds scores calculated by the Limma statistical package we found that there were ten genes that had 50% or greater probability of differential expression (three up-regulated in non-cycled bacteria and seven up-regulated in multiply cycled bacteria – see Appendix Table 6). In addition, there was a significant number that had some (>10%) probability of differential expression. In the dry powder comparison there was a much higher level of differential expression. Approximately 1200 genes were differentially expressed with p-value < 0.05, however, of these only 140 had a p-value < 0.01 and the number of genes that had a 50% or greater chance of being differentially expressed was only 291. The median average intensity for the M. smegmatis spots in this comparison was 8.3, approximately 2-fold below the medians for both the log phase (9.1) and the stationary phase (9.5) comparisons indicating a lower level of signal.

2.3.3. Log Phase Comparison

Results for the log phase differential expression data are given in Appendix Table 5. The differentially expressed genes are dominated by a large gene cluster (22% of the statistically significant genes) that runs from MSMEG_1766 to MSMEG_1802. Two copies of the UsfY gene product (MSMEG_1769; MSMEG_1777) in the cluster are differentially expressed whereas a third copy of UsfY in the cluster (MSMEG_1791), the one that is closest upstream to sigF and most highly expressed in stationary phase, is not differentially expressed. A fourth copy of UsfY (MSMEG_4406) elsewhere in the genome is also not expressed. SigF is likely expressed, based on an intensity 1.2 standard deviations above the median average intensity, but not differentially (intensity ratio = 0.1). S-(hydroxymethyl) glutathione dehydrogenase is differentially expressed at two loci (MSMEG_0671; MSMEG_6616). Also differentially expressed were genes involved in the acquisition or production of osmolytes and carotenoid antioxidants (e.g. MSMEG_2926 and MSMEG_3184; MSMEG_2345 and MSMEG_2346), two catalases (MSMEG_6213; MSMEG_6232), and the starvation-induced DNA protecting protein (MSMEG_6467).

2.3.4. Stationary Phase Comparison

Stationary phase microarray data did not have any statistically significant differentially expressed genes. However, many transcripts did have positive probability of differential expression (Appendix Table 6) with phytoene synthase (MSMEG_2346) having the highest probability of differential expression (66%). Other differentially expressed transcripts include phytoene dehydrogenase (MSMEG_2347), which participates in the same biosynthetic pathway as phytoene synthase, a manganese containing catalase (MSMEG_6213), maltooligosyl trehalose synthase (MSMEG_3185), S-(hydroxymethyl) glutathione dehydrogenase (MSMEG_0671), and the MSMEG_1769 locus of UsfY. Genes appearing in the stationary phase comparison but not in the log phase comparison include glycerol kinase (MSMEG_6759), glycerol-3-phosphate dehydrogenase 2 (MSMEG_6761), and AmiB (MSMEG_1679). Notably, these three genes were down-regulated relative to the cycled bacteria. SigB (MSMEG_2752) was up-regulated in this comparison where it was not observed to be differentially expressed in the previous non-previously spray dried log versus stationary phase experiments.

2.3.5. Dry Powder Comparison

The dry powder comparison showed that the non-cycled bacteria increased transcriptional expression of genes associated with growth processes (Appendix Table 7). These transcripts included those for glycolysis (MSMEG_4107), sulfur uptake (MSMEG_5789), fatty acid metabolism (MSMEG_2081; MSMEG_6512), and amino-acid biosynthesis (MSMEG_1843). In addition, there were expressed transcripts related to shut-down or repair including those for amino acid scavenging (MSMEG_5486; MSMEG_6332), oxidative damage (MSMEG_3215), nucleic acid degradation (MSMEG_3902; MSMEG_5226), and the soluble pyridine nucleotide transhydrogenase (MSMEG_2748), which catalyzes the conversion of NADH to NADPH and is important for catabolic processes. Genes expressed at higher levels in cycled bacteria contained a number of genes related to lipid synthesis, a diverse group of transposable elements, the stress related sigD alternative sigma factor (MSMEG_1599), and the error-prone DNA polymerase IV (MSMEG_2748) (Appendix Table 8).

2.4. Viability Discussion

The results of this study show that the processing of bacteria into a dry powder state affects overall fitness and ultimately survivability. It is important that fitness, or the ability to respond appropriately to specific stress conditions, not require processing conditions that inhibit the bacteria’s ability to flourish in normal growth or other environments. In this light it is important that the bacteria show improved viability over time when grown to stationary phase and exposed multiple times to accelerated stability conditions and the spray drying process. Although the cycled M. smegmatis doubles at a slightly slower rate, 3.12 hours vs. 2.36 hours, both times are well within the literature reported values of the bacteria’s doubling time under normal growing conditions [11,12]. Furthermore, we found little evidence in the gene expression data to suggest that the observed variability in growth rate was related to transcriptional differences. There was no differential expression observed in genes central to growth or maintenance and limited differential expression overall. However, the genes that were differentially expressed were heavily skewed in number towards the cycled bacteria. The additional expression in cycled bacteria could represent a small increased energy demand in which case the observed slower metabolism might be a genuine consequence of our formulation process.

2.5. Gene Expression Differences

Our expression data illustrate that the transition to growth phase from stationary phase is a smooth and highly orchestrated switch in metabolic profile. Stationary phase is a natural response to stressful conditions and bacteria have robust systems in place to counter environmental challenges. In stationary phase of both non-cycled and cycled bacteria we observed increased expression of products that are used to fight stress. These products (Appendix Table 3) included those that combat reactive oxygen species [13], compensate for nitrogen limitation [14], facilitate the utilization of alternative carbon sources [15], and provide for metabolic scavenging [16]. The upregulation of these [NiFe] hydrogenase related genes suggests a response to oxygen limitation ([NiFe] hydrogenases have been shown to be strongly upregulated in hypoxic conditions [17]). Intriguingly, L-lysine-epsilon aminotransferase has been shown to be 40-fold up-regulated in models of the persistent/latent infection of M. tuberculosis [18]. It is probable then that the observed increase in dry powder viability of stationary phase cultures over log phase cultures is a consequence of bacteria being better suited to resist harsh conditions.
In a similar vein, our data suggest that in repeatedly stressing bacteria we have enriched the capacities by which bacteria can survive new and specific stress conditions. Interestingly, these capacities seem to be manifested such that the cycled bacteria “anticipate” future stress. For example, the over-production of trehalose biosynthetic enzymes (trehalose is an excellent osmoprotectant), catalases (to neutralize reactive oxygen species), and glutathiones (for alternative carbon utilization and antioxidant activity) occurs in both log and stationary phases of cycled bacteria. Glycerol kinase and glycerol-3-phosphate dehydrogenase 2 are both down-regulated in stationary phase in cycled bacteria. Since both of these enzymes are involved in processing of glycerol, the down-regulation of these two enzymes has the likely effect of increasing intracellular glycerol concentrations. Given that glycerol is another highly effective osmoprotectant (and water substitute), accumulation undoubtedly helps protect against the osmotic forces at work in the drying process and in the dry powder state. Likewise, AmiB, which plays a role in maintenance and disassembly of the extra-cellular polysaccharide capsid, is also down-regulated in stationary phase in cycled bacteria. It may make “survival-sense” for bacteria to reduce degradation of an all important cell barrier if stress is on the horizon. Moreover, a very interesting result was that of the starvation-induced DNA protecting enzyme which is over-produced beginning in log phase growth. This protein is known to exist in two multimeric forms with the extended polymeric form conferring the principle protection of DNA [19]. The transition from the limited multimeric form to the extended polymeric form is temperature dependent, occurring at 40 °C. Since our spray drying was carried out at +40°C and powders subsequently incubated at 40 °C for extended periods of time, it is possible to speculate that the observed increase in expression is a direct response to our processing conditions. That is, since there is a significant amount of DNA to protect in the event of heat stress, and our processing occurs rapidly, it clearly benefits the organism to accumulate this protein preemptively.

2.6. Carotenoids

One striking observation in our study was the marked orange color and continued rapid orange transformation of the cycled bacteria. It was observed however that a fraction of colonies from wild type cultures would also undergo a similar color transformation. It is known that stock cultures of M. smegmatis often contain pigmented colonies (as well as other variants) suggesting multiple sub-populations exist or arise naturally in the mc2155 strain [20]. In our case this phenotype emerged dominantly when large populations were repeatedly spray dried and placed in the stressful environment of a heated dry powder suggesting the orange phenotype may be related to a selective advantage.
Carotenoids are a class of isoprenoid metabolites synthesized de novo in bacteria. The carotenoid pathway ultimately results in pigmented complex polyterpene lipids including-carotene and lycopene whose functions are in part to act as free radical scavengers and protect cells from light induced oxygen species [21]. The carotenoids are also known to be able to contribute to enhancing the strength of the cell wall due to their lipophilic nature and intercalation into the cell membrane [22]. The presence of gene products that catalyze the formation of these compounds almost certainly explains the pigmentation appearing in the multiply cycle bacteria including the observed increase in color intensity when exposed to light and dry air on the benchtop. Since carotenoids are robust antioxidants and fortifiers of cellular barriers they would be beneficial for withstanding the shear and osmotic stress in the dry powder formulation procedure. In fact, the buff colored mc2155 strain of M. smegmatis is known to be less robust relative to the naturally pigmented wild-type strains, having seen ongoing usage as a model organism, in part, for its high transformation efficiency [23,24]. Thus, we feel the putative over-production of these compounds in cycled bacteria would support our hypothesis that pre-stressed bacteria are more robust.
Analysis of the microarray data showed that the entire carotenoid biosynthetic operon is up-regulated in the cycled bacteria in both log and stationary phases (Appendix Table 9). We note that the pathway is not differentially expressed in the dry powder state, however, the high signal intensity over both the cycled and non-cycled samples (all five genes in the operon had expression levels two standard deviations or higher than the median expression level) suggests that it is highly expressed in both cases.
Importantly, previous work conducted in our lab investigated the effects of adding the commercial adjuvants titermax and titermax gold in attempts to increase immunity and antigenicity in spray dried bacteria. It turns out that the major component of the commercial adjuvant formulations are squalene derivatives. These structures have highly similar structure properties with the naturally occurring mycobacteria carotenoids such as zeta-carotene (Figure 4). Remarkably these adjuvant/bacteria formulations also showed a 1–5 log improvement in viability over time in the dried powder state (unpublished data). This suggests that cartenoid and squalene derivatives may play a critical role in increasing viability of organisms in formulation processes and in the dry powder state over time.
Figure 4. Structures of (a) zeta-carotene and (b) squalene.
Figure 4. Structures of (a) zeta-carotene and (b) squalene.
Materials 03 02684 g004

2.7. Stress Response Gene Cluster

The observation that the gene cluster [MSMEG_1750 to MSMEG_1804] is up-regulated in cycled bacteria is a significant observation. Several genes in this cluster are thought to be related to or regulated by the alternative sigma factors sigF and sigD, including three copies of UsfY (upstream of sigma F protein Y). This cluster of genes is highly similar to a cluster of stress related genes (also containing UsfY) that is implicated in the latency and persistence of M. tuberculosis [25,26].
It has been postulated that UsfY is an anti-anti-sigma factor directed at sigF [25]. Sigma factors act as critical regulators of gene expression in bacteria by recognizing their cognate promoters and controlling the different programs that bacteria employ in response to environmental stimuli. Anti-sigma factors bind to sigma factors to down-regulating specific transcriptional activity. In turn anti-anti-sigma factors bind to anti-sigma factors and thus dampen their regulatory activity. Thus, up-regulation of UsfY would help explain the increased levels of sigF-dependent transcripts in stressed bacteria.
It has been shown that carotenoid biosythesis genes are regulated by sigF in M. smegmatis [21]. Given the high level of gene expression we observed in the carotenoid biosynthetic pathway, as well as in the cluster of genes related to sigF, we did a simple promoter search in the M. smegmatis genome for the sigF consensus promoter sequence -10 (GGGTTT) [26]. The results were striking. A large number of genes that were seen to be either differentially expressed in the cycled bacteria (log and/or stationary phase), or highly expressed in the dry powder state, appear to be directly regulated by sigF (Appendix Table 10). In addition, it appears that the MSMEG_1777 locus of UsfY is itself regulated by sigF. Since sigF itself was not seen to be differentially expressed in any of the experiments, including the non-spray dried log versus stationary phase comparison, higher levels of sigF controlled products in the cycled bacteria was puzzling. One possibility is that higher levels of these products could have arisen from increased UsfY expression, at other locus not under control of sigF, combined with basal sigF expression. This, by itself, might account for the observed improvement in viability of cycled bacteria. However, the high expression levels and postulated anti-anti-sigF activity of UsfY, along with the positive regulation by sigF (at least at the MSMEG_1777 locus) may provide for a mechanism by which the cycled bacteria produce larger quantities of important products in a just-in-time manner, thus conserving resources while simultaneously being prepared to better survive the dry powder formulation. The mechanism may be that UsfY acts like a positive gain in a control circuit. That is, since UsfY is positively regulated by sigF, higher levels of sigF lead to higher the levels of UsfY, and because of the anti-anti sigma factor activity, higher levels of UsfY lead to higher activity of sigF and consequently higher levels of stress related products (e.g. carotenoids). This feedback control, along with the coordinated anti-sigma factor activity, is a well established regulation mechanism for transcriptional control used in bacteria. However, our results suggest that the multiply cycled bacteria may constitutively express higher levels of UsfY and by doing so they likely introduce positive gain into the system. At higher initial levels, UsfY is positioned to shift the equilibrium away from anti-sigF factors as they are produced. Stress signals that increase sigF levels (such as drying stress) would be rapidly amplified since any concomitantly produced anti-sigF factors would be immediately sequestered. In this way, multiply cycled bacteria can not only respond more robustly to stress stimuli but also faster. We feel the latter is an exceedingly important point as our spray drying procedure imposes an extreme change in environment over a very short timeframe.
The lack of differential expression of the UsfY cluster of genes in the dry powder further supports the idea that increased expression is more beneficial prior to the actual drying phase. In other words, strengthening of the cell wall, or accumulating a pool of antioxidants, or preparing for osmotic stresses, is best done proactively because once in the dry powder state energy may be required for other processes (such as repair). This postulate is evidenced by the overall transcriptional responses in dry powder. In the absence of “preparative” gene expression, the non-cycled bacteria appear to have increased expression of genes related to basic metabolic needs. This could reflect a slightly heightened response to the nutrient limited conditions, a last ditch effort to produce energy and acquire necessary components for maintenance, or an attempt at repair. In any case, the increased expression of these products appears to be insufficient (based on differences in viability) and too limited given the extreme urgency needed in adaptation to the harsh and resource-poor environment. In contrast, genes up-regulated in the cycled bacteria suggest an attempt to cope with extreme stress with extreme measures. The increased expression of error-prone DNA polymerase IV, which provides a mechanism for adaptive mutagenesis, suggests this is the case while the number of transposases expressed indicates that dry powder environment is, in fact, catastrophic for the bacteria. Transposases facilitate the “jumping” of DNA segments randomly across genome in an effort to form new recombinant proteins to help combat a new stress. In our data we see that the IS1096 transposable element is highly and differentially expressed in cycled bacteria in the dry powder state. In addition, IS096 related transcripts (Appendix Table 8) include hypothetical proteins that have the IS1096 transposon partially overlapping on the complimentary strand. Transposons are known to contain complimentarily coded regulatory sequences (i.e. sigma factor binding sites) and the fact that these hypothetical proteins are being expressed in the dry powder state makes it highly likely that transposon mediated mutagenesis is in fact occurring. Our promoter analysis identified at least one copy of the IS096 TnpR transcript (MSMEG_4791) as being regulated by sigF and thus higher expression of IS096 in cycled bacteria is consistent with the cycled bacteria’s UsfY augmented sigF response. Thus, “preparative” expression in cycled bacteria may be conferring an adaptive advantage in that an organism that can devote more energy and cellular resources to recombination, over one that has to scavenge more resources for maintenance and repair, has a substantially higher probability of surviving extreme duress.
In summary, our data suggests that the acquisition of enhanced cartenoid synthesis enhances post spray‐drying dry powder viability. This enhanced synthesis could potentially result from a mutation in sigF or possibly from IS1096 transposition into regulatory sequences. Further work will be required to determine if the multiply spray dried phenotype, which we have designated MSDsigf(+) (Table 1), and the high cartenoid phenotypes share a common mutation. In particular, sequencing of the sigF region of the chromosome will be of high priority.
Table 1. Strain Table.
Table 1. Strain Table.
Strain NumberDescriptionOrigin
mc2155High-frequency transformation mutant of ATCC 607Bloom lab. Snapper et al [27]
MSDsigf(+)Putative sigF regulatory mutant, with high carotenoid content, isolated from multiply spray dried powders.Edwards Lab

3. Experimental Section

3.1. Culture and Growth Conditions

M. smegmatis mc2155 was generously provided by Dr. Barry Bloom of the Harvard School of Public Health. Mc2155 was cultured in standard minimal media, Middlebrook 7H9 with 10% OADC (BD Diagnostics, Rockville, MD), 0.2% glycerol (Sigma, St Louis, MO), and 0.05% Tween 80 (Sigma), supplemented with 50 μg/mL hygromycin (Roche, Indianapolis, IN) and incubated at 37 °C. Late exponential phase cultures were grown to an optical density (O.D.) of 1.3 (~24 hrs). Stationary phase cultures were grown for three days to an O.D. > 3.0.

3.2. Solution Preparation

Spray drying solutions were prepared by pelleting cultures, washing them with PBS/0.05% Tween 80, and resuspending them in an equal volume of 0.05% Tyloxapol (Sigma). The final solution was mixed with an equal volume of 8 mg/mL L-leucine (Sigma) for a final concentration of 4 mg/mL L-leucine and 0.025% Tyloxapol. All solutions were used immediately after preparation.

3.3. Spray Drying Conditions

Spray drying was carried out in a Buchi B-290 mini spray dryer using a high performance cyclone and a 0.7 mm pressure nozzle tip (Buchi, Flawil, Switzerland). Solutions were spray dried at a feed rate of 7 mL/min with a drying air flow rate of 35 liters/hr. Outlet temperature was kept between 42–45 °C by varying the inlet temperature from 115–125 °C. The day-to-day variation was due to differences in ambient relative humidity. Powder was collected immediately and placed into amber scintillation vials. The vials were then stored in a desiccator placed in either a 40 °C/ 75% or 25 °C/ 60% relative humidity chamber.

3.4. Viability

Serial dilution plating followed by CFU determination was used to assess the number of viable M. smegmatis bacteria in cell suspensions before spray drying and in the powders post spray drying. Briefly, powders were resuspended in PBS/0.05% Tween 80 and vortexed to homogeneously disperse the samples. Samples were then serially diluted and placed on Middlebrook 7H10 agarose with 10% OADC, 0.5% glycerol and supplemented with 50 μg/mL hygromycin. Plates, once inoculated, were wrapped in foil and incubated at 37 °C for three days. In order to assess the stability of the bacteria over time, powders were placed in storage conditions and plated at regular intervals.

3.5. RNA Extraction

RNA was extracted from either 25 mL of culture or 200 mg of powder. Powder was first resuspended in 25 mL of DEPC water (Ambion, Austin, TX). Both solutions were then pelleted by centrifuging at 10,000 rpm for 1 min. Extraction was then carried out as described in Managan et al. [28]. Briefly, 0.4 mL DEPC H2O and 1 mL of detergent solution (Tween-80, SDS (Sigma), 0.5M Sodium Acetate, DEPC H2O) were added to the pellet and gently mixed. The mixture was added to 4 mL of 0.1 mm silica/ceramic beads in a 7mL screw-top beadbeater tubes. Phenol: chloroform: isoamyl alcohol 125:24:1 (Sigma) and chloroform: isoamyl alcohol 24:1 (Sigma) were then added to the tubes. The mixture was bead beat on high for 45 sec on a Biospec Mini-Bead Beater™. The broken cells were placed on ice for 10 min. The liquid was transferred to 2 mL screw-capped tubes and centrifuged at 16 X rpm for 10 min. The aqueous phase was removed and transferred to a fresh 2 mL screw-cap tube, equal volume chloroform isoamyl alcohol was then added. The solution was briefly centrifuged and the aqueous phase was once more removed. An equal volume of isopropanol solution was then added. Tubes were placed in −80 °C freezer overnight. The tubes were centrifuged at 16 X rpm for 15 min, the supernatant was poured off, and the pellet dried for 45 min on the bench top. RNA cleanup was carried out using a Qiagen RNeasy® Mini Kit with DNAse digestion. Total RNA was eluted in 60 μL and concentration was determined on a NanoDrop ND-1000. RNA content was visually verified by running samples on precast agarose gels (Sigma) in a mini gel electrophoresis unit with ethidium bromide staining.

3.6. cDNA Synthesis and Aminoallyl-labeling

cDNA was synthesized by adding 2 μg of total RNA to 2 μL of random hexamers (Invitrogen, Grand Island, NY) and nuclease free water (Ambion) to achieve a final volume of 18.5 μL. Samples were incubated at 70 °C for 10 minutes, snap-frozen on ice and then centrifuged at 10,000 rpm. The solution was then added to 6 μL first strand buffer (5X) (Invitrogen), 3 μL 0.1 M DTT, 0.6 μL 25 mM dNTP/aa-UTP labeling mix, and 2 μL PowerScript RT (Invitrogen). The mixture was then incubated in a 42 °C water bath overnight. RNA was hydrolyzed by adding 10 μL 0.5 M EDTA (Ambion), 10 μL 1 M NaOH, and then incubating at 65 °C for 15 minutes. Next, 25 μL 1 M TRIS (pH 7.0) (Ambion) was added in order to neutralize the pH. Unincorporated aa-DUTP and free amines were removed with a Qiagen MiniElute PCR purification kit. cDNA was eluted in 60 μL and the concentration determined on a NanoDrop ND-1000. The cDNA was then dried in a speed vac. Samples were resuspended in 4.5 μL 0.1 M sodium carbonate buffer pH 9.3 and added to 4.5 μL of either Cy3 or Cy5 dye (Amersham). The solutions were allowed to incubate in the dark at room temperature for 1 hour. After coupling had finished, 35 μL of 100 mM NaOAc pH 5.2 was added and the samples were purified using a Qiagen MiniElute PCR purification kit used according to the manufacturer instructions. Dye incorporation was assessed using the NanoDrop ND-1000 microarray analysis settings.

3.7. Microarray Preparation and Hybridization

M. smegmatis microarrays were generously provided by The Institute for Genomic Research (TIGR). Hybridization of labeled cDNA probes was carried out using the TIGR SOP M007/8. Briefly, microarray slides were incubated in a prehybridization solution at 42 °C in coplin jars for 1 hour. Slides were then transferred to a glass staining dish and washed 10X with 200 mL nuclease free water. The slides were then rinsed for 2 min in a staining dish filled with isopropyl alcohol and then centrifuged at 1000 rpm for 10 min to dry. A 40% formamide hybridization buffer was then prepared and 50 μL was added to the cy3/cy5 probe. The probe mixture was placed on a 95 °C heat block for 5 min, vortexed and then heated for another 5 min. Prehybridized microarray slides were placed in a hybridization chamber with a clean LifterSlip (Erie Scientific, MA) and the probe mixture was added. A small amount of unused hybridization solution was added to each of the small wells located at either end of the microarray slide. The chamber was wrapped in foil and incubated in a 42 °C water bath overnight. After hybridization, slides were sequentially washed in 500 mL low stringency, medium stringency and high stringency buffers. Each wash step was carried out twice in glass staining dishes. Slides were rinsed briefly in 500 mL Millipore water and centrifuged for 2 min at 1000 rpm and scanned.

3.8. Image Scanning and Data Analysis

Microarrays were scanned using an Axon scanner and data was acquired using Genepix Pro software. Data was analyzed using Bioconductor bioinformatic software with the Limma statistical package [29]. Data was filtered to exclude poor spots (Flag > −50). Background was corrected using the backgroundCorrect command and data was normalized using the normalizeWithinArrays command. Adjusted data was then fit to linear and Bayesian models using the lmFit and eBayes commands. Intensity Ratios, Average Median Intensity and p-values were taken from the logFC, AveExpr, and the more stringent Adj. P.Val. in the output file and then averaged over the three gene replicates present on each microarray. Probability of Differential Expression was calculated using the Limma log-odds score (B) and equation (1).
( e ( B ) 1 + e ( B ) ) × 100

4. Conclusions

Our results suggest that relevant stressing of bacteria, such as M. smegmatis, can lead to highly stable dry powder formulations with remarkable room temperature stability characteristics. Repeated spray drying and selective pressures in dry powders may enrich for strains which can persist in harsh conditions. It is likely we have selected a natural population most fit for long term survival in dry powders which in theory could make for more stable vaccines. However, it is clear that the dry powder state is exceedingly harsh and may induce recombination events. In applying our methodology to more relevant vaccine strains it will be important to ensure they retain immunogenicity and remain safe.
We have demonstrated a new approach useful in the formulation of live whole-cell vaccines. This approach centers on the biochemistry of the organism rather than the chemical and physical parameters often the focus of vaccine formulation efforts. The approach has not only provided insight into mechanisms that influence viability, but has also led us to specific compounds that may prove advantageous in the dry powder formulation of other important organisms.


This work was supported by a Grand Challenge in Global Health grant to DE from the Bill and Melinda Gates Foundation.

References and Notes

  1. Milstien, J.B.; Gibson, J.J. Quality control of BCG vaccine by WHO: A review of factors that my influence vaccine effectiveness and safety. Bull. WHO 1990, 68, 93–108. [Google Scholar] [PubMed]
  2. Smith, K.C.; Stakre, J.R. Bacille Calmette-Guerin Vaccine. In Vaccines, 4th ed.; Plotkin, S.A., Orenstein, W.A., Eds.; Saunders: Philadelphia, PA, USA, 2004; Volume xxi, p. 111. [Google Scholar]
  3. Plotkin, S.A.; Orenstein, W.A. Vaccines, 4th ed.; Saunders: Philadelphia, PA, 2004; Volume xxi, p. 1662. [Google Scholar]
  4. Lind, A. Stability of dried BCG stored at −70 °C, −25 °C and +4 °C. Scand. J. Respir. Dis. 1967, 48, 343–347. [Google Scholar]
  5. Devadoss, P.; Klegerman, M.; Groves, M. A scanning electron microscope study of mycobacterial development stages in commercial BCG vaccines. Curr. Nicrobiol. 1991, 22, 247–252. [Google Scholar] [CrossRef]
  6. Wong, Y.L.; Sampson, S.; Germishuizen, W.A.; Goonesekera, S.; Caponetti, G.; Sadoff, J.; Bloom, B.R.; Edwards, D. Drying a tuberculosis vaccine without freezing. Pro. Natl. Acad. Sci. USA 2007, 104, 2591–2595. [Google Scholar] [CrossRef]
  7. Smeulders, M.J.; Keer, J.; Speight, R.A.; Williams, H.D. Adaptation of Mycobacterium smegmatis to stationary phase. J. Bacteriol. 1999, 181, 270–283. [Google Scholar] [PubMed]
  8. Gebhard, S.; Humpel, A.; McLellan, A.D.; Cook, G.M. The alternative sigma factor SigF of Mycobacterium smegmatis is required for survival of heat shock, acidic pH and oxidative stress. Microbiology 2008, 154, 2786–2795. [Google Scholar] [CrossRef] [PubMed]
  9. Wigneshweraraj, S.; Bose, D.; Burrows, P.C.; Joly, N.; Schumacher, J.; Rappas, M.; Pape, T.; Zhang, X.; Stockley, P.; Severinov, K.; Buck, M. Modus operandi of the bacterial RNA polymerase containing the sigma54 promoter-specificity factor. Mol. Microbiol. 2008, 68, 538–46. [Google Scholar] [CrossRef] [PubMed]
  10. Calamita, H.; Ko, C.; Tyagi, S.; Yoshimatsu, T.; Morrison, N.E.; Bishai, W.R. The Mycobacterium tuberculosis SigD sigma factor controls the expression of ribosome-associated gene products in stationary phase and is required for full virulence. Cell Microbiol. 2005, 7, 233–244. [Google Scholar] [CrossRef] [PubMed]
  11. Gadagkar, R.; Gopinathan, K.P. Growth of Mycobacterium smegmatis in minimal and complete media. J. Biosci. 1980, 2, 337–348. [Google Scholar] [CrossRef]
  12. Salazar, L.; Fsihi, H.; de Rossi, E.; Riccardi, G.; Rios, C.; Cole, S.T.; Takiff, H.E. Organization of the origins of replication of the chromosomes of Mycobacterium smegmatis, Mycobacterium leprae and Mycobacterium tuberculosis and isolation of a functional origin from M. smegmatis. Mol. Microbiol. 2006, 20, 283–293. [Google Scholar] [CrossRef]
  13. Manca, C.; Paul, S.; Barry, C.E.; Freedman, V.H.; Kaplan, G. Mycobacterium tuberculosis catalase and peroxidase activities and resistance to oxidative killing in human monocytes in vitro. Infect. Immun. 1999, 67, 74–79. [Google Scholar] [PubMed]
  14. Nakano, M.M.; Hoffmann, T.; Zhu, Y.; Jahn, D. Nitrogen and oxygen regulation of bacillus subtilis nasDEF encoding NADH-dependent nitrite reductase by TnrA and ResDE. J. Bacteriol. 1998, 180, 5344–5350. [Google Scholar] [PubMed]
  15. Kazmierczak, M.J.; Wiedmann, M.; Boor, K.J. Alternative sigma factors and their roles in bacterial virulence. Microbiol. Mol. Biol. Rev. 2005, 69, 527–543. [Google Scholar] [CrossRef] [PubMed]
  16. Horsburgh, M.J.; Wiltshire, M.D.; Crossley, H.; Ingham, E.; Foster, S.J. PheP, a putative amino acid permease of Staphylococcus aureus, contributes to survival in vivo and during starvation. Infect. Immun. 2004, 72, 3073–3076. [Google Scholar] [CrossRef] [PubMed]
  17. Berney, M.; Cook, G. Unique flexibility in energy metabolism allows mycobacteria to combat starvation and hypoxia. PloS ONE 2010, 5, e8614. [Google Scholar] [CrossRef] [PubMed]
  18. Dube, D.; Tripathi, S.; Ramachandran, R. Identification of in vitro inhibitors of Mycobacterium tuberculosis Lysine ε-aminotransferase by pharmacophore mapping and three-dimensional flexible searches. Med. Chem. Res. 2008, 17, 182–188. [Google Scholar] [CrossRef]
  19. Gupta, S.; Chatterji, D. Bimodal protection of DNA by Mycobacterium smegmatis DNA-binding protein from stationary phase cells. J. Biol. Chem. 2003, 278, 5235–5241. [Google Scholar] [CrossRef] [PubMed]
  20. Cirillo, J.D.; Barletta, R.G.; Bloom, B.R.; Jacobs, W.R. A novel transposon trap for mycobacteria: Isolation and characterization of IS1096. J. Bacteriol. 1991, 173, 7772–7780. [Google Scholar] [PubMed]
  21. Provvedi, R.; Kocincova, D.; Dona, V.; Euphrasie, D.; Daffe, M.; Etienne, G.; Manganelli, R.; Reyrat, J-M. SigF controls carotenoid pigment production and affects transformation efficiency and hydrogen peroxide sensitivity in Mycobacterium smegmatis. J. Bacteriol. 2008, 190, 7859–7863. [Google Scholar] [CrossRef] [PubMed]
  22. Kubler, O.; Baumeister, W. The structure of a periodic cell wall component (HPI-layer of Micrococcus radiodurans). Cytobiologie 1978, 17, 1–9. [Google Scholar] [PubMed]
  23. Snapper, S.B.; Lugosi, L.; Jekkel, A.; Melton, R.E.; Kieser, T.; Bloom, B.R.; Jacobs, W.R. Lysogeny and transformation in mycobacteria: Stable expression of foreign genes. Pro. Natl. Acad. Sci. USA 1988, 85, 6987–6991. 1988, 85, 6987–6991. [Google Scholar]
  24. Hermans, J.; Bont, J.A.M. The study of mycobacterial genetics has experienced quick technical developments. Anton. Leeuw. 1996, 69, 243–256. [Google Scholar] [CrossRef]
  25. DeMaio, J.; Zhang, Y.; Ko, C.; Bishal, W.R. Mycobacterium tuberculosis sigF is part of a gene cluster with similarities to the Bacillus subtilis sigF and sigB operons. Tubercle Lung Dis. 1997, 78, 3–12. [Google Scholar] [CrossRef]
  26. Chen, J.; Demaio, J.; Bishai, W.R. A possible antisigma factor in a sigF-containing gene cluster of Mycobacterium tuberculosis. Abstr. Gen. Meet. Am. Soc. Microbiol. 1997. Abstract Number U133, 566. [Google Scholar]
  27. Snapper, S.B.; Melton, R.E.; Mustafa, S.; Kieser, T.; Jacob, W.R., Jr. Isolation and characterization of efficient plasmid transformation mutants of Mycobacterium smegmatis. Mol. Microbiol. 1990, 4, 1911–1919. [Google Scholar] [CrossRef] [PubMed]
  28. Mangan, J.A.; Sole, K.M.; Mitchison, D.A.; Butcher, P.D. An effective method of RNA extraction from bacteria refractory to disruption, including mycobacteria. Nucleic Acids Res. 1997, 25, 675–676. [Google Scholar] [CrossRef] [PubMed]
  29. Smyth, G.K. Limma: Linear models for microarray data. In Bioinformatics and Computational Biology Solutions Using R and Bioconductor; Gentleman, R., Carey, V., Dudoit, S., Irizarry, R., Huber, W., Eds.; Springer: New York, NY, USA, 2005; pp. 397–420. [Google Scholar]

Appendix Tables–Microarray Data

Appendix Table 1. Ribosomal genes up-regulated in log phase (non-spray dried log versus stationary comparison).
Appendix Table 1. Ribosomal genes up-regulated in log phase (non-spray dried log versus stationary comparison).
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
MSMEG_1347ribosomal protein L1rplA1.411.80.00188%
MSMEG_1439ribosomal protein L2rplB1.312.60.00181%
MSMEG_1436ribosomal protein L3rplC1.211.40.00197%
MSMEG_1437ribosomal protein L4/L1 family proteinrplD1.312.10.00099%
MSMEG_1467ribosomal protein L51.811.80.000100%
MSMEG_1470ribosomal protein L61.212.60.00194%
MSMEG_6894ribosomal protein L9rplI1.011.30.00189%
MSMEG_1364ribosomal protein L102.112.70.00099%
MSMEG_1346ribosomal protein L11rplK1.513.10.00099%
MSMEG_1365ribosomal protein L7/L12rplL2.811.90.00195%
MSMEG_1556ribosomal protein L13rplM1.813.50.00265%
MSMEG_1465ribosomal protein L14rplN1.111.30.00455%
MSMEG_1474ribosomal protein L15rplO1.311.80.00277%
MSMEG_1443ribosomal protein L16rplP1.813.00.00195%
MSMEG_1525ribosomal protein L171.112.30.00359%
MSMEG_1471ribosomal protein L18rplR1.612.20.00098%
MSMEG_2440ribosomal protein L19rplS1.211.40.00192%
MSMEG_3791ribosomal protein L20rplT0.612.10.01017%
MSMEG_4625ribosomal protein L21rplU1.312.90.00196%
MSMEG_1441ribosomal protein L221.511.10.00633%
MSMEG_1438ribosomal protein L23rplW1.412.10.00098%
MSMEG_1466ribosomal protein L24rplX1.112.00.00196%
MSMEG_5431ribosomal protein L25, Ctc-form1.911.30.00099%
MSMEG_4624ribosomal protein L27rpmA0.212.90.3240%
MSMEG_6068ribosomal protein L28rpmB0.19.80.7340%
MSMEG_2400ribosomal protein L28rpmB1.512.80.00099%
MSMEG_1444ribosomal protein L29rpmC1.811.80.01314%
MSMEG_1473ribosomal protein L30rpmD1.511.90.00195%
MSMEG_4951ribosomal protein L31rpmE0.813.80.00537%
MSMEG_5489ribosomal protein L32rpmF1.111.10.01022%
MSMEG_6070ribosomal protein L31rpmE0.010.10.7040%
MSMEG_6067ribosomal protein L33rpmG-
MSMEG_1339ribosomal protein L33rpmG0.611.60.0459%
MSMEG_6946ribosomal protein L34rpmH0.311.50.2820%
MSMEG_3792ribosomal protein L35rpmI0.813.60.00446%
MSMEG_1520ribosomal protein L36rpmJ0.413.30.0801%
MSMEG_3833ribosomal protein S1-0.312.10.1741%
MSMEG_2519ribosomal protein S2rpsB2.011.70.000100%
MSMEG_1442ribosomal protein S3rpsC1.811.80.00099%
MSMEG_1523ribosomal protein S4rpsD1.012.00.00268%
MSMEG_1472ribosomal protein S5rpsE1.412.20.00193%
MSMEG_6897ribosomal protein S6rpsF2.911.60.000100%
MSMEG_1399ribosomal protein S7rpsG1.912.70.000100%
MSMEG_1469ribosomal protein S8rpsH1.812.40.00193%
MSMEG_1557ribosomal protein S9rpsI1.112.70.00190%
MSMEG_1435ribosomal protein S10rpsJ1.112.30.00188%
MSMEG_1522ribosomal protein S11rpsK1.212.80.00188%
MSMEG_1398ribosomal protein S12rpsL1.412.40.00197%
MSMEG_6066ribosomal protein S14-
MSMEG_1468ribosomal protein S14p/S29erpsN1.612.10.00360%
MSMEG_1521ribosomal protein S13p/S18erpsM0.912.30.01412%
MSMEG_2654ribosomal protein S15rpsO1.311.40.00192%
MSMEG_2435ribosomal protein S161.811.10.00368%
MSMEG_1445ribosomal protein S172.012.20.00191%
MSMEG_6065ribosomal protein S18rpsR-
MSMEG_6895ribosomal protein S18rpsR1.412.20.00188%
MSMEG_1440ribosomal protein S19rpsS1.412.10.00197%
MSMEG_4571ribosomal protein S20rpsT0.512.10.0334%
Appendix Table 2. Select up-regulated operons and clusters in log phase over stationary phase (non-spray dried log versus stationary comparision).
Appendix Table 2. Select up-regulated operons and clusters in log phase over stationary phase (non-spray dried log versus stationary comparision).
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
Electron transport
MSMEG_4939ATP synthase delta chain1.511.90.0098%
MSMEG_4942ATP synthase F0, A subunitatpB1.311.50.0088%
MSMEG_4941ATP synthase F0, C subunitatpE1.813.30.0099%
MSMEG_4938ATP synthase F1, alpha subunitatpA1.511.70.0099%
MSMEG_4936ATP synthase F1, beta subunitatpD1.5120.0099%
MSMEG_4935ATP synthase F1, epsilon subunitatpC0.710.90.035%
MSMEG_4937ATP synthase F1, gamma subunitatpG1.711.40.00100%
MSMEG_4268cytochrome c oxidase subunit 21.712.60.0099%
MSMEG_2352electron transfer flavoprotein, alpha subunitetfA1.711.90.00100%
MSMEG_4527ferredoxin sulfite reductase1.811.40.00100%
MSMEG_4261ubiquinol-cytochrome c reductase cytochrome c subunit1.512.90.0099%
MSMEG_4262ubiquinol-cytochrome c reductase iron-sulfur subunit1.513.50.0099%
Energy Metabolism
MSMEG_5672citrate synthase IgltA1.412.20.0099%
MSMEG_3084glyceraldehyde-3-phosphate dehydrogenase, type Igap1.912.10.00100%
MSMEG_1654isocitrate dehydrogenase, NADP-dependent1.811.80.0098%
MSMEG_3200L-aspartate oxidasenadB1.9100.00100%
MSMEG_3085phosphoglycerate kinasepgk1.511.30.0097%
MSMEG_3227pyruvate kinasepyk1.211.70.0095%
MSMEG_3199quinolinate synthetase complex, A subunitnadA1.7110.0097%
MSMEG_0932ROK family protein2.111.20.00100%
MSMEG_5524succinyl-CoA synthetase, alpha subunitsucD1.610.60.0099%
MSMEG_5525succinyl-CoA synthetase, beta subunitsucC1.610.80.0099%
Protein Folding
MSMEG_0880chaperonin GroLgroL2.513.60.0093%
MSMEG_1583chaperonin GroLgroL211.40.00100%
MSMEG_1582chaperonin GroSgroS2.112.40.00100%
MSMEG_0024peptidyl-prolyl cis-trans isomerase B3.313.50.00100%
MSMEG_2974peptidyl-prolyl cis-trans isomerase, cyclophilin-type1.2110.0083%
MSMEG_3434peptidyl-prolyl cis-trans isomerase, fkbp-type domain protein1.110.70.0083%
Lipiid Metabolism
MSMEG_4326acyl carrier proteinacpP1.513.20.0095%
MSMEG_5248acyl-[ACP] desaturase1.710.50.0088%
MSMEG_2131acyl-CoA synthase1.510.10.0094%
MSMEG_5273beta-ketoadipyl CoA thiolase1.511.60.0099%
MSMEG_5773fatty acid desaturase1.411.40.0092%
MSMEG_4351hypothetical oxidoreductase YjgI1.810.30.0060%
MSMEG_0096peroxisomal hydratase-dehydrogenase-epimerase2.3110.00100%
Maintenance and Growth
MSMEG_1540ATP-dependent RNA helicase1.6110.0091%
MSMEG_6403bifunctional udp-galactofuranosyl transferase glft1.611.10.0095%
MSMEG_1947conserved hypothetical protein [(glutaredoxin)]1.812.20.0088%
MSMEG_4396isochorismatase hydrolase1.7100.00100%
MSMEG_6896single-stranded DNA-binding protein2.111.60.00100%
MSMEG_4891alkylhydroperoxide reductase1.812.90.00100%
MSMEG_0835copper/zinc superoxide dismutasesodC1.611.90.0097%
MSMEG_0314glucose-6-phosphate 1-dehydrogenasezwf1.3110.0092%
MSMEG_4557ABC transporter, ATP-binding protein1.710.40.00100%
MSMEG_4560periplasmic binding protein1.910.80.0099%
MSMEG_4561ABC Fe3+-siderophores transporter, periplasmic binding protein1.79.70.0094%
MSMEG_4533sulfate-binding protein1.710.50.0090%
MSMEG_5788integral membrane protein1.610.40.0098%
MSMEG_5789putative thiosulfate sulfurtransferase3.211.90.00100%
MSMEG_5790SseC protein3.512.60.00100%
Appendix Table 3. Select up-regulated operons and clusters in stationary phase over log phase (non-spray dried log versus stationary comparision).
Appendix Table 3. Select up-regulated operons and clusters in stationary phase over log phase (non-spray dried log versus stationary comparision).
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
Carbon Limitation
MSMEG_1552ethanolamine permeaseeat1.512.70.0072%
MSMEG_1553ethanolamine ammonia-lyase, large subuniteutB2.311.60.0095%
MSMEG_1554ethanolamine ammonia-lyase, light chaineutC2.410.50.0099%
MSMEG_1970sigma factor4.211.60.0099%
MSMEG_1971propane monooxygenase hydroxylase large subunit3.511.10.0099%
MSMEG_1973propane monooxygenase hydroxylase small subunit2.110.60.0098%
MSMEG_1972methane monooxygenase component C1.49.90.0082%
MSMEG_1974propane monooxygenase coupling protein2.010.90.0099%
MSMEG_1975amidohydrolase 22.310.80.0097%
MSMEG_1976conserved hypothetical protein2.410.20.00100%
MSMEG_1977alcohol dehydrogenase1.710.50.0094%
MSMEG_1978chaperonin GroLgroL2.010.50.0089%
MSMEG_1979antibiotic biosynthesis monooxygenase1.311.40.0099%
MSMEG_4206Molybdopterin oxidoreductase3.110.80.0098%
MSMEG_4207universal stress protein family protein3.111.90.0099%
MSMEG_4208integral membrane protein4.212.30.00100%
MSMEG_4209integral membrane protein3.811.40.0099%
MSMEG_4210secreted protein4.911.60.00100%
Scavenging Pathways
MSMEG_1411universal stress protein family protein1.310.30.0085%
MSMEG_1412amino acid permease1.311.00.0091%
MSMEG_1413ornithine--oxo-acid transaminaserocD2.310.90.0094%
MSMEG_1417glyoxalase family protein1.09.90.0065%
MSMEG_1418RNA polymerase ECF-type sigma factor0.810.70.0067%
MSMEG_5117proline dehydrogenase2.911.70.00100%
MSMEG_51191-pyrroline-5-carboxylate dehydrogenasepruA2.812.00.00100%
MSMEG_2748soluble pyridine nucleotide transhydrogenasesthA2.410.80.0099%
Membrane and Cell Wall Synthesis
MSMEG_2522efflux ABC transporter, permease protein1.612.00.0098%
MSMEG_2523efflux ABC transporter, permease protein, putative3.111.00.0099%
MSMEG_2524ABC transporter, ATP-binding protein3.810.90.00100%
MSMEG_2525amino acid permease superfamily protein4.712.10.0099%
MSMEG_2526copper methylamine oxidase3.212.10.00100%
Oxygen Limitation
MSMEG_2270hypothetical protein1.110.80.0080%
MSMEG_2271hydrogenase accessory protein HypBhypB0.811.50.0067%
MSMEG_2272hydrogenase nickel insertion protein HypAhypA1.011.40.0087%
MSMEG_2273[NiFe] hydrogenase maturation protein HypFhypF1.610.60.0092%
MSMEG_2274hydrogenase assembly chaperone HypC/HupFhypC1.212.30.0095%
MSMEG_2276hydrogenase expression/formation protein HypEhypE0.714.00.0134%
MSMEG_2702hydrogenase expression/formation protein HypDhypD1.310.70.0090%
MSMEG_2703hydrogenase assembly chaperone HypC/HupFhypC1.510.30.0099%
MSMEG_2705hydrogenase expression/formation protein HypEhypE1.510.20.0090%
MSMEG_2706phosphoheptose isomerasegmhA2.510.30.00100%
MSMEG_2711[NiFe] hydrogenase maturation protein HypFhypF1.610.20.0098%
MSMEG_2712hydrogenase assembly chaperone HypC/HupFhypC1.710.80.0098%
MSMEG_2713peptidase M52, hydrogen uptake protein2.410.70.00100%
MSMEG_2714hypothetical protein2.110.60.00100%
MSMEG_2715conserved hypothetical protein2.09.80.0094%
MSMEG_2716conserved hypothetical protein2.110.20.00100%
MSMEG_2718iron-sulfur cluster-binding protein, Rieske family protein, putative2.410.30.0095%
MSMEG_2719hydrogen:quinone oxidoreductase2.710.80.0098%
MSMEG_2720NADH ubiquinone oxidoreductase, 20 kda subunit2.711.30.0099%
Oxydative Stress
MSMEG_3461catalase/peroxidase HPIkatG2.711.10.0097%
MSMEG_6213Manganese containing catalase2.010.80.0099%
Nitrogen Limitation
MSMEG_0427nitrite reductase [NAD(P)H], large subunitnirB2.311.40.00100%
MSMEG_0428nitrite reductase [NAD(P)H] small subunit2.911.00.00100%
MSMEG_0429putative ferric uptake regulator1.19.60.0077%
MSMEG_0431secreted protein1.010.50.0067%
MSMEG_0432uroporphyrinogen-III synthetase1.69.40.0088%
MSMEG_0433nitrite extrusion protein1.812.10.0097%
MSMEG_0434aminoglycoside 2'-N-acetyltransferase (AAC(2')-Id)1.410.70.0084%
MSMEG_0435allophanate hydrolase subunit 21.811.80.0099%
MSMEG_0436allophanate hydrolase subunit
Other Stress Related
MSMEG_1597Transcription factor WhiB1.59.90.0086%
MSMEG_1764L-lysine-epsilon aminotransferase2.211.20.0099%
MSMEG_1769UsfY protein0.810.70.0078%
MSMEG_1787RsbW protein0.810.20.0074%
MSMEG_1791UsfY protein1.511.10.0099%
MSMEG_6467starvation-induced DNA protecting protein1.512.80.062%
MSMEG_1953transcription factor WhiB1.011.60.0062%
Appendix Table 4. Differential gene expression of sigma factors (non-spray dried log versus stationary comparison).
Appendix Table 4. Differential gene expression of sigma factors (non-spray dried log versus stationary comparison).
Primary TargetCommon NameIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
Stationary Phase (Positive Intensity Ratio)
MSMEG_1970sigma factor4.211.60.0099%
MSMEG_1599RNA polymerase sigma-70 factor1.910.90.0098%
MSMEG_6817RNA polymerase sigma factor, sigma-70 family protein1.39.70.0090%
MSMEG_3008putative sigma 54 type regulator1.19.60.0075%
MSMEG_1418RNA polymerase ECF-type sigma factor0.810.70.0064%
MSMEG_0219RNA polymerase sigma-70 factor, family protein0.810.40.029%
MSMEG_1690putative ECF sigma factor RpoE10.59.20.0315%
MSMEG_1666RNA polymerase sigma-70 factor0.59.30.039%
MSMEG_1486RNA polymerase sigma-70 factor0.49.70.062%
MSMEG_5444RNA polymerase sigma-70 factor0.49.70.052%
MSMEG_1914RNA polymerase sigma-70 factor, family protein0.411.30.101%
MSMEG_5214RNA polymerase sigma-70 factor0.29.50.340%
MSMEG_5072extracytoplasmic function alternative sigma factor0.211.90.330%
MSMEG_3296ECF-family protein sigma factor H0.29.20.260%
MSMEG_1692ECF-family protein RNA polymerase sigma factor0.19.30.470%
MSMEG_4315RNA polymerase sigma factor, sigma-70 family protein0.110.40.660%
MSMEG_0574putative ECF sigma factor RpoE10.09.30.570%
Log Phase (Negative Intensity Ratio)
MSMEG_5365RNA polymerase sigma-70 factor-0.810.10.0059%
MSMEG_0405extra cytoplasmic sigma factor-0.610.10.0138%
MSMEG_1804RNA polymerase sigma-F factor-0.311.20.091%
MSMEG_1348RNA polymerase ECF-subfamily protein sigma factor-
MSMEG_3485putative ECF sigma factor RpoE1-
MSMEG_2758sigma factor MysA-
MSMEG_6931RNA polymerase sigma-70 factor-
MSMEG_0573putative ECF sigma factor RpoE1-
MSMEG_2752sigma factor SigB-
MSMEG_4405putative ECF sigma factor RpoE1-
MSMEG_6682RNA polymerase sigma-70 factor, putative-
MSMEG_1747RNA polymerase sigma-70 factor-
MSMEG_3275RNA polymerase sigma factor, sigma-70 family protein-
Appendix Table 5. Log phase differential gene expression in multiply cycled bacteria versus non-previously spray dried bacteria (positive expression indicates stationary phase).
Appendix Table 5. Log phase differential gene expression in multiply cycled bacteria versus non-previously spray dried bacteria (positive expression indicates stationary phase).
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
MSMEG_0451oxidoreductase, FAD-linked0.710.90.01784%
MSMEG_0536intracellular protease, PfpI family protein0.810.40.00893%
MSMEG_0670FAD dependent oxidoreductase0.59.40.04357%
MSMEG_0671S-(hydroxymethyl)glutathione dehydrogenase0.710.10.01491%
MSMEG_0672conserved hypothetical protein1.412.60.02768%
MSMEG_0685oxidoreductase, molybdopterin-binding subunit0.710.00.02089%
MSMEG_1076conserved hypothetical protein2.012.30.002100%
MSMEG_1097glycosyl transferase, group 2 family protein1.511.60.002100%
MSMEG_1131tryptophan-rich sensory protein1.110.60.03270%
MSMEG_1558conserved hypothetical protein0.89.50.03273%
MSMEG_1605phosphate transport system regulatory protein PhoUphoU0.69.30.00991%
MSMEG_1766conserved hypothetical protein0.89.10.02678%
MSMEG_1767conserved hypothetical protein0.910.10.00498%
MSMEG_1768conserved hypothetical protein0.99.20.01296%
MSMEG_1769UsfY protein1.39.60.002100%
MSMEG_1770conserved hypothetical protein1.710.70.001100%
MSMEG_1771methylase, putative1.310.90.00695%
MSMEG_1772conserved hypothetical protein1.59.90.00599%
MSMEG_1773conserved hypothetical protein1.110.70.00795%
MSMEG_1774conserved hypothetical protein1.211.50.02076%
MSMEG_1777UsfY protein1.311.50.00597%
MSMEG_1782oxidoreductase, short chain dehydrogenase/reductase family protein0.710.60.02187%
MSMEG_1783hypothetical protein0.69.60.04278%
MSMEG_1788conserved hypothetical protein1.410.70.00398%
MSMEG_1789conserved hypothetical protein1.410.80.00793%
MSMEG_1790conserved hypothetical protein1.29.50.00598%
MSMEG_1792conserved hypothetical protein0.59.50.04655%
MSMEG_1802ChaB protein0.89.20.03389%
MSMEG_1821acyl-CoA dehydrogenase-
MSMEG_1886Fatty acid desaturase0.99.90.01288%
MSMEG_1950conserved hypothetical protein1.010.20.00498%
MSMEG_1951conserved domain protein1.710.50.00399%
MSMEG_1952ATP-dependent DNA helicase0.69.70.02976%
MSMEG_2112secreted protein1.010.10.00696%
MSMEG_2115conserved hypothetical protein1.09.70.00499%
MSMEG_2345lycopene cyclase0.78.70.04275%
MSMEG_2346phytoene synthase1.09.00.00399%
MSMEG_2376conserved hypothetical protein0.79.10.01879%
MSMEG_2415hemerythrin HHE cation binding region1.110.30.00399%
MSMEG_2593gnat-family protein acetyltransferase0.910.10.00598%
MSMEG_2594asparagine synthase (glutamine-hydrolyzing)asnB0.89.90.01092%
MSMEG_2924permease binding-protein component0.710.20.02190%
MSMEG_2925permease membrane component0.98.90.00892%
MSMEG_2926glycine betaine/carnitine/choline transport ATP-binding protein opuCA1.010.10.00698%
MSMEG_2958conserved hypothetical protein1.010.30.00398%
MSMEG_3022transglycosylase associated protein1.610.50.00894%
MSMEG_3184malto-oligosyltrehalose trehalohydrolasetreZ0.89.40.01290%
MSMEG_3185putative maltooligosyl trehalose synthase0.810.20.00695%
MSMEG_3186glycogen debranching enzyme GlgXglgX0.610.80.04177%
MSMEG_3254RDD family protein, putative1.010.60.00498%
MSMEG_3255DoxX subfamily protein, putative1.310.10.002100%
MSMEG_3418conserved hypothetical protein0.89.70.00995%
MSMEG_3419hypothetical protein1.210.30.00696%
MSMEG_3543soluble secreted antigen MPT530.89.50.04494%
MSMEG_4325malonyl CoA-acyl carrier protein transacylase-0.912.10.02088%
MSMEG_49181,4-alpha-glucan branching enzymeglgB0.710.30.02275%
MSMEG_4991hypothetical protein0.79.80.01783%
MSMEG_4993hypothetical protein1.010.30.00793%
MSMEG_5342conserved hypothetical protein0.99.10.01889%
MSMEG_5343conserved hypothetical protein1.19.20.01098%
MSMEG_5542transcriptional regulator, HTH_3 family protein1.09.40.00893%
MSMEG_5543hypothetical protein1.810.40.00299%
MSMEG_5616glyoxalase/bleomycin resistance protein/dioxygenase0.78.70.01789%
MSMEG_5617immunogenic protein MPT631.610.60.00499%
MSMEG_5722conserved hypothetical protein0.69.50.03871%
MSMEG_5936conserved hypothetical protein1.110.90.00398%
MSMEG_6211hypothetical protein0.810.50.01193%
MSMEG_6212hemerythrin HHE cation binding domain subfamily protein, putative1.010.90.02598%
MSMEG_6213Manganese containing catalase1.09.10.01194%
MSMEG_6232catalase KatAkatA0.78.80.03073%
MSMEG_6305conserved hypothetical protein0.69.10.02774%
MSMEG_6355hypothetical protein0.79.10.02478%
MSMEG_6467starvation-induced DNA protecting protein1.610.50.00299%
MSMEG_6507glycogen debranching enzyme GlgXglgX0.910.20.01397%
MSMEG_6579conserved hypothetical protein0.610.60.02669%
MSMEG_6616S-(hydroxymethyl)glutathione dehydrogenase0.79.90.01487%
Appendix Table 6. Stationary phase differential gene expression in multiply cycled bacteria versus non-previously spray dried bacteria (positive expression indicates stationary phase).
Appendix Table 6. Stationary phase differential gene expression in multiply cycled bacteria versus non-previously spray dried bacteria (positive expression indicates stationary phase).
Primary TargetCommon NameGeneIntensity RatioAverage Channel IntensityProbability of Differential Expression
MSMEG_0536intracellular protease, PfpI family protein0.911.660%
MSMEG_0641binding-protein-dependent transport systems inner membrane component-0.610.421%
MSMEG_0671S-(hydroxymethyl)glutathione dehydrogenase1.110.927%
MSMEG_0696alanine-rich protein0.69.821%
MSMEG_1112aconitate hydratase, putative1.010.225%
MSMEG_1683cytosine/purine/uracil/thiamine/allantoin permease family protein-0.712.039%
MSMEG_1767conserved hypothetical protein1.310.849%
MSMEG_1768conserved hypothetical protein0.89.737%
MSMEG_1769UsfY protein1.010.056%
MSMEG_1772conserved hypothetical protein1.110.340%
MSMEG_1790conserved hypothetical protein1.410.462%
MSMEG_1950conserved hypothetical protein1.110.733%
MSMEG_1951conserved domain protein2.311.534%
MSMEG_2115conserved hypothetical protein2.111.261%
MSMEG_2346phytoene synthase1.510.366%
MSMEG_2347phytoene dehydrogenase0.811.021%
MSMEG_2389DNA-binding protein HUhup-0.911.422%
MSMEG_2752sigma factor SigB1.211.237%
MSMEG_2958conserved hypothetical protein1.211.928%
MSMEG_3185putative maltooligosyl trehalose synthase0.710.928%
MSMEG_3254RDD family protein, putative1.711.928%
MSMEG_3439hypothetical protein2.412.225%
MSMEG_4208integral membrane protein-0.910.860%
MSMEG_5152hypothetical protein-0.811.927%
MSMEG_5542transcriptional regulator, HTH_3 family protein1.410.155%
MSMEG_6213Manganese containing catalase1.010.355%
MSMEG_6242alcohol dehydrogenase, iron-containing-1.312.451%
MSMEG_6579conserved hypothetical protein1.111.521%
MSMEG_6759glycerol kinaseglpK-1.212.461%
MSMEG_6761glycerol-3-phosphate dehydrogenase 2-1.712.933%
Appendix Table 7. Differential gene expression in non-previously spray dried bacteria in dry powder state.
Appendix Table 7. Differential gene expression in non-previously spray dried bacteria in dry powder state.
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
MSMEG_0114extracellular solute-binding protein, family protein
MSMEG_03733-ketoacyl-CoA thiolase1.312.40.00889%
MSMEG_1130hypothetical protein2.17.80.00977%
MSMEG_1452sulfatase-modifying factor
MSMEG_1479methyltransferase, putative, family protein1.19.80.01073%
MSMEG_1530integral membrane protein1.810.20.00892%
MSMEG_1887hypothetical protein1.312.20.01071%
MSMEG_1911catechol 1,2-dioxygenasecatA1.410.40.00983%
MSMEG_1960hypothetical protein2.08.20.01073%
MSMEG_2081putative acyl-CoA dehydrogenase1.412.60.00981%
MSMEG_2316monooxygenase, NtaA/SnaA/SoxA family1.210.30.00982%
MSMEG_2507IclR-family protein transcriptional regulator2.08.00.01074%
MSMEG_2511siderophore utilization protein1.110.70.00974%
MSMEG_2748soluble pyridine nucleotide transhydrogenasesthA4.18.50.00896%
MSMEG_2799phospho-2-dehydro-3-deoxyheptonate aldolase1.49.60.00985%
MSMEG_3215ABC-type molybdenum transport system, ATPase component/photorepair protein PhrA1.310.40.00884%
MSMEG_3233cytochrome D ubiquinol oxidase subunit 11.310.60.00978%
MSMEG_3724coenzyme PQQ biosynthesis protein BpqqB2.17.60.00976%
MSMEG_3902ATPase,AAA family protein1.412.20.01074%
MSMEG_4085nitrilotriacetate monooxygenase component A1.28.80.00980%
MSMEG_4107Phosphoglycerate mutase, putative2.17.90.00977%
MSMEG_4372capreomycidine hydroxylase2.37.00.00884%
MSMEG_4576SpfH domain protein1.18.00.00973%
MSMEG_5005LprC protein1.18.90.01072%
MSMEG_5216glyoxalase family protein1.78.30.00889%
MSMEG_5226exodeoxyribonuclease VII, large subunitxseA1.19.00.00976%
MSMEG_5486peptidase S1 and S6, chymotrypsin/Hap1.713.10.00895%
MSMEG_5646conserved hypothetical protein2.011.10.00892%
MSMEG_5745gas vesicle synthesis protein2.08.30.01073%
MSMEG_5789putative thiosulfate sulfurtransferase1.211.20.00978%
MSMEG_5861cytochrome P450 1092.08.20.00976%
MSMEG_5887intersectin-EH binding protein Ibp11.211.80.01070%
MSMEG_5912succinic semialdehyde dehydrogenase1.49.60.00892%
MSMEG_5982UDP-glucose 6-dehydrogenase2.97.70.00891%
MSMEG_6254hypothetical protein1.510.10.00988%
MSMEG_6332amino acid ABC transporter, permease protein2.07.60.01073%
MSMEG_6454conserved hypothetical protein1.611.90.00892%
MSMEG_6512acyl-CoA dehydrogenase domain protein1.511.40.00886%
Appendix Table 8. Differential gene expression in multiply cycled bacteria in dry powder state.
Appendix Table 8. Differential gene expression in multiply cycled bacteria in dry powder state.
Primary TargetCommon NameGeneIntensity RatioAverage Channel Intensityp-valueProbability of Differential Expression
Lipid Synthesis
MSMEG_2337isopentenyl-diphosphate delta-isomerase, type 2fni1.2312.20.01065%
MSMEG_4326acyl carrier proteinacpP1.5810.50.00889%
MSMEG_43273-oxoacyl-[acyl-carrier-protein] synthase 11.3710.60.01067%
MSMEG_43283-oxoacyl-[acyl-carrier-protein] synthase 21.7910.50.00987%
MSMEG_4329propionyl-CoA carboxylase beta chain1.7810.60.00891%
MSMEG_5242acyltransferase, ws/dgat/mgat subfamily protein1.6810.40.00983%
MSMEG_2824IS1549, transposase1.2410.50.01927%
MSMEG_4522ISMsm2, transposase1.3711.10.00891%
MSMEG_4072ISMsm5, transposase1.4010.10.00984%
MSMEG_2805ISMsm5, transposase1.4311.40.00888%
MSMEG_2830ISMsm4, transposase1.4410.80.00984%
MSMEG_4791IS1096, tnpR protein1.6111.30.01070%
MSMEG_3341Transposase IS116/IS110/IS902 family protein1.6210.30.00895%
MSMEG_3984Transposase IS116/IS110/IS902 family protein1.9911.00.01082%
MSMEG_1731IS6120, transposase2.0510.40.00894%
MSMEG_4926IS1096, tnpA protein2.2412.30.00898%
IS1096 Related
MSMEG_6696hypothetical protein1.9111.20.00898%
MSMEG_0803hypothetical protein1.9012.80.00898%
MSMEG_0396hypothetical protein1.8712.10.00896%
MSMEG_1259hypothetical protein1.1610.80.01167%
MSMEG_0051transcription factor WhiB family protein1.7010.30.00893%
MSMEG_1599RNA polymerase sigma-70 factor1.1210.90.00973%
MSMEG_2294DNA polymerase IVdinB1.7210.30.00990%
Appendix Table 9. Probability of expression of the carotenoid biosynthesis operon across the different experiments.
Appendix Table 9. Probability of expression of the carotenoid biosynthesis operon across the different experiments.
Naïve Stationary vs. Naïve LogCycled Log
vs. Naive Log
Cycled Stationary
vs. Naive Stationary
Cycled Powder
vs. Naive Powder
Primary TargetCommon Name of Primary TargetProbability of Differential Expressionσ above median
MSMEG_2345lycopene cyclase0%75%17%10%2.3
MSMEG_2346phytoene synthase5%99%66%0%2.7
MSMEG_2347phytoene dehydrogenase0%55%21%1%1.9
Appendix Table 10. Results of sigF consensus promoter analysis.
Appendix Table 10. Results of sigF consensus promoter analysis.
Naïve Stationary
vs. Naïve Log
Cycled Log
vs. Naive Log
Cycled Stationary
vs. Naive Stationary
Cycled Powder
vs. Naive Powder
Primary TargetCommon Name of Primary TargetPromoter SequenceBPFCσPFCσPFCσPFCσP
MSMEG_1804RNA polymerase sigma-F factorGCCGTGGTTATCTCCACGTCCACGGTGTGTAT−156−0.31.21%0.10.50%0.30.73%0.12.40%
MSMEG_0451oxidoreductase, FAD−linkedTGACCGGTTTGGTGAGCGCGTAAAGCGGTTAT−150.61.71%0.71.884%0.62.23%0.13.50%
MSMEG_0670FAD dependent oxidoreductaseCCTGAGGGTTCGACCGGCCGCATTGGGGGTAT−160.7−0.221%0.50.157%0.30.34%0.92.027%
MSMEG_0671S−(hydroxymethyl)glutathione dehydrogenaseACCGGCCGTTTCAGCGGCTGCGCGTGGGGTAC−540.20.70%0.71.091%1.11.727%0.23.00%
MSMEG_0672conserved hypothetical proteinCGACCGGGTTTGGCCGTCCCCACCGCGGGTAC−571.13.51%1.43.768%1.64.38%0.35.51%
MSMEG_1076conserved hypothetical proteinGCGGAGGTTTCGTCCGTACCGACGAAGGGTAT−570.92.41%2.03.3100%0.72.44%0.94.99%
MSMEG_1605phosphate transport system regulatory protein PhoUAACCTCGATTGAAGGGCCCCTCGGATGGGTAC−561.20.683%0.60.191%0.40.04%0.22.30%
MSMEG_1758hypothetical proteinAGCCCGGTTTCACCACGGTGTTCGCCGGGTAG−150.91.085%0.60.535%0.51.61%1.12.166%
MSMEG_1770conserved hypothetical proteinGATCACGTTTCGGAACCCGGAATACCGGGCAT−712.11.597%1.71.6100%2.12.76%0.35.51%
MSMEG_1771methylase, putativeTCGGAAGGTTTGCGCGCCCGCGAGATGGGTAC−361.12.51%1.31.895%1.62.811%0.64.811%
MSMEG_1773conserved hypothetical proteinGTTTGAGGTTTACCGCAGGCACAAATGGGAAT−180.91.90%1.11.695%1.11.73%0.14.20%
MSMEG_1774conserved hypothetical proteinGACGGCGTTTCGCCGGGAGGCGGCCCGGGTAG−710.32.30%1.22.476%1.32.35%0.04.90%
MSMEG_1777UsfY proteinGCCCGGGTTTCACACCGACCGTCCCCGGGTAG−760.92.70%1.32.597%1.23.410%0.45.71%
MSMEG_1802ChaB proteinTCGAGGGTTTCCCGAATGCCGACCTTGGGCAT−701.11.47%0.80.089%0.40.82%-0.31.80%
MSMEG_2112secreted proteinAATTGACGTTTCTGTAGGACGCCAGCGGGTAT−311.21.618%1.00.996%1.73.215%0.34.61%
MSMEG_2347phytoene dehydrogenaseCCGGACGTTTGTAGCCCGCCGCCTGCGGGTAT−1040.21.70%0.60.955%0.81.821%0.41.91%
MSMEG_2415hemerythrin HHE cation binding regionCTCAACGGTTGAACCCGGCCGGTAGGGGGTAG−681.61.517%1.11.199%1.11.210%0.64.510%
MSMEG_2958conserved hypothetical proteinCACGACGGTTCGCCAGGTCGCCGCGCGGGTAT−311.41.396%1.01.198%1.23.128%0.15.10%
MSMEG_3022transglycosylase associated proteinGCCGCCGTTTACGCCGCCGACAGCCGGGGTAT−371.72.834%1.61.494%2.43.37%-0.44.52%
MSMEG_3289gp61 proteinCCTTGACGTTTGAACGTGCAGCGGGAGGGTAC−361.11.796%0.50.78%0.41.14%1.23.336%
MSMEG_3443hypothetical proteinGAACGCGTTTGTCCGAGCGTCGCTGGGGATAT−501.60.9100%0.5−0.634%0.60.42%-0.12.40%
MSMEG_3543soluble secreted antigen MPT53CGCACGGTTCCTACCGTCGTGCCACAGGGTGT−521.20.897%0.80.294%0.40.95%0.02.80%
MSMEG_4072ISMsm5, transposaseTAATTAGTTTACAGTGTGGGATGATGGTGTAT−19−0.82.045%-0.12.80%0.44.21%1.41.484%
MSMEG_4791IS1096, tnpR proteinTCAGCTGCTTTCGCGCTGTGATCGAGGGGTCT−59-0.44.72%-0.20.80%0.45.21%1.62.395%
MSMEG_49181,4−alpha−glucan branching enzymeACTTTGTGGTTGGACATGGAGGCACTGGGTAT−1790.01.10%0.71.275%0.41.11%-0.82.932%
MSMEG_5343conserved hypothetical proteinCCTGAGGTTTCACGCGTTCGCCGGATGGCTAT−411.30.689%1.1−0.198%0.40.11%-0.63.29%
MSMEG_5543hypothetical proteinTGTGCGTTTCGACATGCGTGAAGGCTGGGTAG−840.52.20%1.81.399%2.43.011%-0.54.03%
MSMEG_5617immunogenic protein MPT63TACCGATGTTTTCCTCCTGACGAGGCGGGTAT−77-0.20.20%1.61.599%0.5−0.13%0.51.83%
MSMEG_5872DNA-binding response regulator PhoPCGTGGGTTTCGGGCGGCTTCCTGCCGGGGTAT−781.12.024%0.11.70%-0.21.90%-0.45.31%
MSMEG_6212hemerythrin HHE cation binding domain subfamily protein, putativeACGCGCTGTTTGGCAACGGGTCTGACGGGTAT−581.61.770%1.01.898%1.73.613%0.25.20%
MSMEG_6213Manganese containing catalaseGACCGCTGTTTGGGGTTCTCGGCGCTGGGTAT−472.00.799%1.0−0.194%1.00.955%-0.14.50%
MSMEG_6467starvation−induced DNA protecting proteinCGCTGTGATTAGTGCCCGGCACTGCCGGGTAC−431.52.72%1.61.399%1.72.411%0.34.71%
MSMEG_6616S-(hydroxymethyl)glutathione dehydrogenaseGGCCAAGGTTTGGGCCAGCTCCGGTGGGGTAG−371.20.94%0.70.787%1.12.06%1.02.856%

Share and Cite

MDPI and ACS Style

Lauten, E.H.; Pulliam, B.L.; DeRousse, J.; Bhatta, D.; Edwards, D.A. Gene Expression, Bacteria Viability and Survivability Following Spray Drying of Mycobacterium smegmatis. Materials 2010, 3, 2684-2724.

AMA Style

Lauten EH, Pulliam BL, DeRousse J, Bhatta D, Edwards DA. Gene Expression, Bacteria Viability and Survivability Following Spray Drying of Mycobacterium smegmatis. Materials. 2010; 3(4):2684-2724.

Chicago/Turabian Style

Lauten, Elizabeth Hunter, Brian L. Pulliam, Jessica DeRousse, Deen Bhatta, and David A. Edwards. 2010. "Gene Expression, Bacteria Viability and Survivability Following Spray Drying of Mycobacterium smegmatis" Materials 3, no. 4: 2684-2724.

Article Metrics

Back to TopTop