Seung-Hun Baek1, Alice H Li, Christopher M Sassetti. 1. Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Abstract
Treatment of chronic bacterial infections, such as tuberculosis (TB), requires a remarkably long course of therapy, despite the availability of drugs that are rapidly bacteriocidal in vitro. This observation has long been attributed to the presence of bacterial populations in the host that are "drug-tolerant" because of their slow replication and low rate of metabolism. However, both the physiologic state of these hypothetical drug-tolerant populations and the bacterial pathways that regulate growth and metabolism in vivo remain obscure. Here we demonstrate that diverse growth-limiting stresses trigger a common signal transduction pathway in Mycobacterium tuberculosis that leads to the induction of triglyceride synthesis. This pathway plays a causal role in reducing growth and antibiotic efficacy by redirecting cellular carbon fluxes away from the tricarboxylic acid cycle. Mutants in which this metabolic switch is disrupted are unable to arrest their growth in response to stress and remain sensitive to antibiotics during infection. Thus, this regulatory pathway contributes to antibiotic tolerance in vivo, and its modulation may represent a novel strategy for accelerating TB treatment.
Treatment of chronic bacterial infections, such as tuberculosis (TB), requires a remarkably long course of therapy, despite the availability of drugs that are rapidly bacteriocidal in vitro. This observation has long been attributed to the presence of bacterial populations in the host that are "drug-tolerant" because of their slow replication and low rate of metabolism. However, both the physiologic state of these hypothetical drug-tolerant populations and the bacterial pathways that regulate growth and metabolism in vivo remain obscure. Here we demonstrate that diverse growth-limiting stresses trigger a common signal transduction pathway in Mycobacterium tuberculosis that leads to the induction of triglyceride synthesis. This pathway plays a causal role in reducing growth and antibiotic efficacy by redirecting cellular carbon fluxes away from the tricarboxylic acid cycle. Mutants in which this metabolic switch is disrupted are unable to arrest their growth in response to stress and remain sensitive to antibiotics during infection. Thus, this regulatory pathway contributes to antibiotic tolerance in vivo, and its modulation may represent a novel strategy for accelerating TB treatment.
Over fifty years after the discovery of antimycobacterial drugs,
Mycobacterium tuberculosis remains an endemic pathogen
throughout much of the world. Based on immunological tests, one-third of the global
population has been exposed to this organism, which sickens 10 million and kills 2
million yearly [1].
Arguably, the most important factor limiting TB control efforts is the remarkably
long antibiotic regimen that is necessary to eradicate the pathogen [2]. Despite the
availability of drugs that rapidly kill the bacterium in vitro, treatment with these
agents requires at least 6 mo. Incomplete treatment is both ineffective and promotes
the selection of drug-resistant strains.The reasons that antibiotics are less effective in vivo remain unclear but likely
reflect the altered metabolic state of the bacterium in this environment [3]. In the mammalian
host, M. tuberculosis is challenged by a variety
of pressures, including low oxygen, iron limitation, low pH, and changes in nutrient
availability [4]–[7]. In vitro, many bacteria respond to similar environmental
stresses by arresting their growth and assuming a quiescent or dormant state in
which they remain viable until the environment once again becomes favorable [8]. Similarly,
M. tuberculosis dramatically reduces both its growth and
metabolic activity in chronically infected animals, doubling only once every 100 h
or more [9],[10]. Since
virtually all antibiotics preferentially kill rapidly replicating bacteria [3],[11], it has been
hypothesized that the reduced growth and metabolic activity of these quiescent
populations is responsible for the “antibiotic-tolerance” observed
during infection [12].While the physiologic state of these slowly replicating mycobacterial populations in
vivo is difficult to investigate directly, in vitro models have been developed to
mimic this condition. The best defined of these models is long-term hypoxic culture,
which has been proposed to mimic the oxygen tension found in some TB lesions [13]. When M.
tuberculosis is cultured under oxygen-limiting conditions, this
obligate aerobe ceases replicating and adopts an antibiotic-tolerant state that can
be maintained almost indefinitely [14],[15]. While macromolecular synthesis slows dramatically during
this period, continual ATP production is required for survival, indicating that
cellular metabolism remains at least nominally active [13].Taken together, these observations indicate that M. tuberculosis is
able to adopt a relatively quiescent antibiotic-tolerant state both in vitro and
within the host. Previous efforts to eradicate nonreplicating bacterial populations
have generally focused on the development of drugs that directly kill these
organisms. As an alternative to this approach, we sought to define the bacterial
functions that govern mycobacterial growth and could therefore be manipulated to
increase drug sensitivity. In this work, we define a functional pathway that enables
the bacterium to reduce its metabolic rate in response to environmental stress.
Mutants lacking this regulatory pathway remain markedly more sensitive to
antibiotics during infection, demonstrating that this specific response contributes
to the antibiotic tolerance observed in vivo.
Results
Identification of Growth-Regulatory Pathways
To understand the mechanisms controlling the growth of M.
tuberculosis during infection, we sought to identify mutants that
had lost the ability to arrest their growth and continued to replicate in
hypoxic culture. We subjected a library of transposon mutants to a low oxygen
environment sufficient to arrest the growth of wild type M.
tuberculosis
[6] and used
transposon site hybridization [16] to identify the set of mutants that were
overrepresented after 6 wk of culture, suggesting a growth or survival
advantage.Prominent among the 34 identified genes (Table S1) were several predicted to encode
the enzymes necessary to produce triacylglycerol (TAG) from glycerol and
acyl-CoA (Figure 1A). The
gene that appeared to play the most important role, tgs1,
encodes a well-characterized TAG synthase that represents the dominant
triglyceride synthetic activity under hypoxia [17],[18]. The importance of the
tgs1 gene under this condition is likely due to its
transcriptional induction via the DosR regulator, which controls the earliest
response to hypoxia [19]. Consistent with the known regulatory relationship
between tgs1 and DosR, our genetic screen also indicated that
dosR mutants were overrepresented in the library exposed to
hypoxia. The similar phenotypes of mutants lacking virtually every step in this
pathway indicated that DosR-triggered TAG accumulation was critical for
hypoxia-induced growth arrest.
Figure 1
Triglyceride synthesis mutants continue to replicate under
growth-limiting conditions.
(A) The predicted TAG biosynthetic pathway of M.
tuberculosis and its relationship to the TCA cycle.
Mutations in the underlined genes were predicted by Transposon Site
Hybridization to result in overrepresentation after hypoxia. OAA,
oxaloacetate; MAG, monoacylglycerol; DAG, diacylglycerol. (B)
Δtgs1 bacteria grow to a higher cell density in
hypoxic cultures. (C) Δtgs1 mutants continue to
replicate in hypoxic culture. The replication dynamics of the indicated
strains were assessed by quantifying the rate at which unstable plasmid
pBP10 was lost (right axis, open symbols). The “cumulative
bacterial number” (left axis, closed symbols) represents the total
number of organisms that would have been present if cell death was
negated. Arrows in (B) and (C) indicate the initiation of hypoxia based
on methylene blue decolorization. (D and E) Growth of M.
tuberculosis strains at an initial pH of 5.5 (D) and in low
iron medium (E). Optical density measurements are shown (similar data
were obtained by quantifying CFU). Means ± SD of two independent
experiments each performed in duplicate or triplicate are shown. Insets
demonstrate the lack of TAG accumulation (upper species) in
Δtgs1 bacteria, as assessed by thin layer
chromatography. Each TLC was developed independently. In inset,
“a,” H37Rv; “b,” Δtgs1; and
“c,” complemented strain
Δtgs1+pTGS1.
Triglyceride synthesis mutants continue to replicate under
growth-limiting conditions.
(A) The predicted TAG biosynthetic pathway of M.
tuberculosis and its relationship to the TCA cycle.
Mutations in the underlined genes were predicted by Transposon Site
Hybridization to result in overrepresentation after hypoxia. OAA,
oxaloacetate; MAG, monoacylglycerol; DAG, diacylglycerol. (B)
Δtgs1 bacteria grow to a higher cell density in
hypoxic cultures. (C) Δtgs1 mutants continue to
replicate in hypoxic culture. The replication dynamics of the indicated
strains were assessed by quantifying the rate at which unstable plasmid
pBP10 was lost (right axis, open symbols). The “cumulative
bacterial number” (left axis, closed symbols) represents the total
number of organisms that would have been present if cell death was
negated. Arrows in (B) and (C) indicate the initiation of hypoxia based
on methylene blue decolorization. (D and E) Growth of M.
tuberculosis strains at an initial pH of 5.5 (D) and in low
iron medium (E). Optical density measurements are shown (similar data
were obtained by quantifying CFU). Means ± SD of two independent
experiments each performed in duplicate or triplicate are shown. Insets
demonstrate the lack of TAG accumulation (upper species) in
Δtgs1 bacteria, as assessed by thin layer
chromatography. Each TLC was developed independently. In inset,
“a,” H37Rv; “b,” Δtgs1; and
“c,” complemented strain
Δtgs1+pTGS1.To verify the predictions of our genetic screen, we generated a mutant lacking
the tgs1 gene. In aerated broth cultures, both wild type and
Δtgs1 mutant bacteria accumulated only small amounts of
TAG and grew at similar rates (unpublished data). However, when these bacteria
were cultured in sealed vials to produce hypoxia [15], the
Δtgs1 mutant failed to accumulate the TAG observed in
wild type or complemented mutant cells and grew to a density that was 10-fold
higher than wild type (Figure
1B). To confirm that the Δtgs1 mutant continued
to replicate under hypoxia, we calculated the doubling time of the bacteria by
quantifying the segregation of an unstable plasmid that was lost at a constant
rate per cell division [9]. Indeed, while wild type bacteria completely arrested
growth once hypoxia was established, the Δtgs1 mutant
continued to replicate for at least 14 more days (Figure 1C). Even between 14 and 21 d, when
the total number of Δtgs1 bacteria did not change
significantly, the cells continued to segregate the plasmid. This confirmed that
the Δtgs1 strain was unable to arrest its growth, and even
the apparent stasis of this strain represented a state of balanced growth and
death. While the cause of death remains uncertain, the cytosolic ATP
concentration of the mutant decreased as oxygen was consumed (Figure S2),
indicating that replication in the absence of this preferred electron acceptor
produced an untenable metabolic state.M. tuberculosis accumulates TAG under a variety stresses,
including hypoxia, iron limitation, and low pH [17],[20],[21], indicating that TAG
synthesis might modulate growth under multiple conditions. Indeed, we found that
while each of these conditions retarded the growth of wild type bacteria and the
complemented mutant, the Δtgs1 strain continued to grow at
a relatively rapid rate (Figure
1D–E). While the DosR regulon was known to be induced during
hypoxia [19],
this regulator had not been shown to act in these other conditions. To determine
if the same regulatory circuit was operational, we used a reporter derived from
the promoter of the well-characterized DosR target, acr
[22]. We found
that this promoter was strongly induced under low iron conditions and weakly
induced by low pH (Figure S3). Induction under these conditions
is likely due to the recently described activation of DosR by alterations in
cellular redox state [23]. Despite this difference in degree of induction, we
found that a mutant lacking the dosR gene behaved similarly to
the Δtgs1 in each condition, indicating that this sensor
kinase was important for all of these responses.
TAG Synthesis Inhibits Growth by Reducing TCA Flux
When M. tuberculosis or related environmental bacteria are
exposed to stress, they accumulate large cytosolic stores of triglycerides [20],[24]. This
dramatic production of lipid suggested that the growth regulatory effects of
tgs1 induction might be due to the wholesale redirection of
carbon flux into TAG synthesis and away from intermediary metabolic pathways.
Since acetyl CoA is a primary substrate of both the TCA cycle and TAG synthesis,
we hypothesized that TAG production lowered the growth and metabolic rate of the
organism by directly competing for this metabolite (see Figure
S1).Acetyl CoA is incorporated into the TCA cycle by citrate synthase, which
condenses it with oxaloacetate (OAA) to form citrate (Figure 1A). To test whether TAG synthesis
competes with citrate synthase for acetyl CoA, we supplied wild type M.
tuberculosis with exogenous OAA, which we expected to promote
citrate synthase activity by increasing substrate concentration. As anticipated,
this treatment mimicked the Δtgs1 mutation by enhancing
growth in both hypoxic and iron-restricted cultures (Figures 2A, S4). Other
related metabolites had no effect on growth, supporting the conclusion that OAA
enhances growth under these conditions by stimulating citrate synthase
activity.
Figure 2
TAG synthesis modulates growth by consuming acetyl CoA.
(A) Oxaloacetate (OAA) stimulates bacterial growth in low iron medium.
Growth of H37Rv expressing gfp was assessed in 384-well
plates by fluorometry. Wells contained medium alone, succinate (SUC),
fumarate (FUM), pyruvate (PYR), or oxaloacetate (OAA). Each metabolite
was added at increasing concentrations (0.1, 0.5, 1, 2, and 5 mM).
Fluorescence intensity of the plates was measured after 10 d of growth
and normalized to control wells containing a Sybr green standard. (B and
C) Growth of the indicated strains was assessed in hypoxic (B) or low
iron cultures (C). “citA*” indicates citrate synthase
overexpressing strain. The inset in (B) shows TAG accumulation by H37Rv
(a) and the citA* strain (b) under hypoxic
conditions. (D) Addition of tetrahydrolipostatin (THL) to low iron
cultures inhibits growth in a tgs1-dependent manner.
Growth inhibition was determined from the optical density cultures after
21 d. Means ± SD of two independent experiments each performed in
duplicate or triplicate are shown. The inset shows TAG accumulation by
H37Rv (a) and the tgs1 strain (b) with the highest
tested concentration of THL. Lipid extracts were normalized to represent
the same bacterial mass. (E) Radiolabeled acetate
(14C1,2) was introduced into hypoxic vials
after 7 d of sealed culture. The left four bars indicate the cpm of
CO2 sampled from the headspace after 6 h. The right four
bars indicate relative abundance of 14C-labeled TAG on the
same time point. Inset shows a representative TLC plate that was
quantified. Means ± SD of triplicate experiments are shown for
CO2 measurements.
TAG synthesis modulates growth by consuming acetyl CoA.
(A) Oxaloacetate (OAA) stimulates bacterial growth in low iron medium.
Growth of H37Rv expressing gfp was assessed in 384-well
plates by fluorometry. Wells contained medium alone, succinate (SUC),
fumarate (FUM), pyruvate (PYR), or oxaloacetate (OAA). Each metabolite
was added at increasing concentrations (0.1, 0.5, 1, 2, and 5 mM).
Fluorescence intensity of the plates was measured after 10 d of growth
and normalized to control wells containing a Sybr green standard. (B and
C) Growth of the indicated strains was assessed in hypoxic (B) or low
iron cultures (C). “citA*” indicates citrate synthase
overexpressing strain. The inset in (B) shows TAG accumulation by H37Rv
(a) and the citA* strain (b) under hypoxic
conditions. (D) Addition of tetrahydrolipostatin (THL) to low iron
cultures inhibits growth in a tgs1-dependent manner.
Growth inhibition was determined from the optical density cultures after
21 d. Means ± SD of two independent experiments each performed in
duplicate or triplicate are shown. The inset shows TAG accumulation by
H37Rv (a) and the tgs1 strain (b) with the highest
tested concentration of THL. Lipid extracts were normalized to represent
the same bacterial mass. (E) Radiolabeled acetate
(14C1,2) was introduced into hypoxic vials
after 7 d of sealed culture. The left four bars indicate the cpm of
CO2 sampled from the headspace after 6 h. The right four
bars indicate relative abundance of 14C-labeled TAG on the
same time point. Inset shows a representative TLC plate that was
quantified. Means ± SD of triplicate experiments are shown for
CO2 measurements.Similarly, we tested this model by overexpressing the citA gene,
encoding citrate synthase. This excess enzyme activity appeared to effectively
compete for acetyl CoA, as the overexpression strain
(citA*) resembled the Δtgs1 mutant in
both hypoxic and low iron culture; that is, bacteria continued to grow and
failed to accumulate TAG (Figure
2B,C). Both citA overexpression and oxaloacetate
addition in hypoxic conditions appeared to have an even more pronounced effect
than tgs1 deletion, as the viability of these cultures
decreased more rapidly than the Δtgs1 strain once oxygen
was depleted.To verify that titrating the flux between these two competing pathways produced
the expected changes in growth rate, we employed a small molecule inhibitor of
TAG degradation. The accumulation of TAG is antagonized by cellular lipases that
release the acyl chains for degradation (Figure S1). Thus, we expected that inhibiting
this reverse, lipase-dependent, pathway would promote carbon accumulation in TAG
and thereby inhibit growth under stress. To test this prediction, we added
tetrahydrolipostatin (THL), a broad-spectrum lipase inhibitor, to bacteria
cultured under conditions that induce TAG synthesis and retard growth. As
predicted, the addition of THL caused a dose-dependent decrease in the growth of
wild type, but not tgs1-deficient, bacteria (Figures 2D and S5).Finally, to directly demonstrate that the TCA cycle and TAG synthesis compete for
the same carbon pool, we quantified the relative rates of carbon flux into these
two pathways by metabolic labeling with [14C]-acetate.
Under hypoxic conditions, we found that the deletion of tgs1
and overexpression of citA had a similar effect. Both
manipulations increased acetate flux into CO2 via the TCA cycle, at
the expense of TAG production (Figure 2E). The antagonistic effect of TAG synthesis on TCA flux was
independently verified by monitoring the abundance of amino acids, which
represent relatively stable markers of the TCA activity. We found that the
intracellular concentrations of lysine, threonine, and alanine, amino acids
derived from oxaloacetate or affected by its turnover, were decreased in wild
type bacteria as they lowered their metabolic activity during adaptation to
hypoxia (Figure
S6). In contrast, deletion of tgs1 or overexpression
of citA reversed this decline, verifying that TCA activity
remained relatively high in these strains. In sum, the opposing effects of the
Tgs1 and CitA enzymes on both growth and carbon flux indicate that TAG
production restricts the growth of wild type bacteria by diverting carbon away
from growth-promoting pathways such as the TCA cycle.
Modulation of Carbon Fluxes Can Reverse Antibiotic Tolerance In Vitro and In
Vivo
Since decreased metabolic activity generally correlates with lower antibiotic
efficacy, we speculated that TAG synthesis might contribute to the drug-tolerant
phenotype induced by stress. We tested this hypothesis using in vitro conditions
that trigger TAG accumulation. Indeed, we found that the
Δtgs1 mutant remained significantly more sensitive to a
variety of antibiotics under tolerance-inducing conditions such as hypoxia and
iron limitation (Figure 3).
The antibiotics used were chemically distinct and targeted diverse cellular
pathways, suggesting that the general hypersensitivity of the
Δtgs1 bacteria was due to a fundamental alteration in
cellular metabolism. As expected, the increased multidrug-susceptibility of the
Δtgs1 mutant was much less pronounced under favorable
growth conditions in which this gene is not induced (Figure S7).
Under these conditions, the mutant was no more susceptible than wild type to any
of the drugs tested, except the fatty acid synthesis inhibitor, isoniazid (INH).
We conclude that while TAG synthesis may influence INH sensitivity through
multiple mechanisms, the multidrug susceptibility of the
Δtgs1 mutant is due to a general increase in growth
rate and/or metabolic activity. This conclusion was supported by the remarkable
antibiotic sensitivity of the citA* strain that we observed
in tolerance-inducing cultures (Figure 3). This strain was killed even more rapidly than the
Δtgs1 mutant, verifying that metabolic rate is a major
determinant of antibiotic susceptibility under these conditions.
Figure 3
Metabolic modulation reverses the antibiotic tolerance induced by low
iron and hypoxic conditions.
Bacterial survival in the presence of the indicated antibiotics under
hypoxic conditions (A, C, E, G) and in low iron media (B, D, F, H).
Isoniazid (“INH”, 2 and 0.25 µg ml−1,
A and B), streptomycin (“SMP”, 2 and 1 µg
ml−1, C and D), ciprofloxacin (“CIP”, 4
and 1 µg ml−1, E and F), and ethambutol
(“EMB”, 5 and 3 µg ml−1, G and H)
were introduced into each culture. Antibiotics were added to the hypoxic
vials after 14 d of culture. Means ± SD of two independent
experiments each performed in duplicate are shown.
Metabolic modulation reverses the antibiotic tolerance induced by low
iron and hypoxic conditions.
Bacterial survival in the presence of the indicated antibiotics under
hypoxic conditions (A, C, E, G) and in low iron media (B, D, F, H).
Isoniazid (“INH”, 2 and 0.25 µg ml−1,
A and B), streptomycin (“SMP”, 2 and 1 µg
ml−1, C and D), ciprofloxacin (“CIP”, 4
and 1 µg ml−1, E and F), and ethambutol
(“EMB”, 5 and 3 µg ml−1, G and H)
were introduced into each culture. Antibiotics were added to the hypoxic
vials after 14 d of culture. Means ± SD of two independent
experiments each performed in duplicate are shown.Induction of the tgs1 gene and TAG accumulation occur during
infection [20], and TCA activity appears to be limited in this
environment [25].
Therefore, we next investigated whether TCA limitation by TAG synthesis was also
required for antibiotic tolerance in vivo. The Δtgs1
mutation did not overtly disrupt the physiology of the bacterium in vivo, as
only subtle defects in bacterial viability were observed in mice infected with
the mutant (Figure S8). Despite this apparently normal behavior, the metabolic
state of the mutant was clearly different from wild type, as the
Δtgs1 strain remained significantly more sensitive to
several antibiotic regimens targeting different cellular functions (Figure 4). Consistent with a
central role for TCA activity in antibiotic tolerance in vivo, we found that
overexpressing citrate synthase had a more pronounced effect. The
citA* strain displayed a modest growth or survival
defect in mice (Figures 4A,B
and S8),
indicating that increased TCA flux under these conditions decreased overall
fitness. More importantly, this strain remained even more sensitive to
antibiotics during infection than the Δtgs1 mutant, as we
had previously observed under in vitro stress conditions. After 28 d of
monotherapy, the number of viable wild bacteria had only decreased 20-fold,
while the number of viable citA overexpressors was reduced
below the limit of detection (Figure 4A,B).
Figure 4
Modulating carbon fluxes reverses the antibiotic tolerance induced
during infection.
Mice were infected via the aerosol route with the indicated bacterial
strains. Total bacterial burden in the spleens (A, C, E) and lungs (B,
D, F) is shown. Mice were treated at the indicated times with isoniazid
(“INH”, A, B), ethambutol (“EMB”, C, D), or
isoniazid plus pyrazinamide (“INH+PZA”, E, F). Dotted
line represents the detection limit of the experiment. “ND”
indicates no colonies detected. ND* indicates two colonies were
detected but neither retained the citA overexpression
plasmid. Means ± SD from three to five mice are shown.
Modulating carbon fluxes reverses the antibiotic tolerance induced
during infection.
Mice were infected via the aerosol route with the indicated bacterial
strains. Total bacterial burden in the spleens (A, C, E) and lungs (B,
D, F) is shown. Mice were treated at the indicated times with isoniazid
(“INH”, A, B), ethambutol (“EMB”, C, D), or
isoniazid plus pyrazinamide (“INH+PZA”, E, F). Dotted
line represents the detection limit of the experiment. “ND”
indicates no colonies detected. ND* indicates two colonies were
detected but neither retained the citA overexpression
plasmid. Means ± SD from three to five mice are shown.
Discussion
Many organisms accumulate TAG in preparation for long periods of inactivity.
Previously, this response had been largely thought to serve a carbon storage
function, allowing the rapid restoration of metabolism upon resuscitation [18]. More recently,
it has been proposed that TAG synthesis may be important for redox homeostasis in
cells with low respiratory activity [26]. In addition to these
potential functions, we now show that TAG synthesis represents an active stress
response that can play a causal role in governing growth, metabolic rate, and
antibiotic susceptibility by redirecting cellular carbon fluxes (Figure S1).Reducing metabolic rate in response to stress is likely to be advantageous for a
variety of reasons. In the most general terms, continual growth under conditions
lacking a critical nutrient or cofactor can result in catastrophic imbalances in
cellular metabolism, as we observed in the hypoxia model. While the
Δtgs1 and citA* strains have a
temporary fitness advantage over wild type bacteria in hypoxia, these mutants are
unable to sustain this advantage due to an increased rate of cell death. A similar
failure to reduce metabolic activity under growth-limiting stress also resulted in
the attenuation of the citA* strain in vivo.An additional important consequence of the low metabolic rate of M.
tuberculosis during infection is decreased antibiotic sensitivity. We
found that the redirection of carbon into TAG synthesis was critical for assuming
this antibiotic tolerant phenotype under a variety of different in vitro and in vivo
stresses. As anticipated, antibiotic sensitivity was correlated with replication
rate under many conditions, but this correlation was not absolute. For example,
increased replication could not account for the heightened susceptibility of the
citA* strain relative to the Δtgs1
mutant in vitro, as both strains appeared to grow similarly at the time of
treatment. Replication rate alone was also unlikely to account for the
hypersensitivity of these strains in vivo. We did not observe increased numbers of
viable bacteria in the tissues of mice infected with Δtgs1 or
citA* strains and were unable to detect progressive
histopathology or the accumulation of bacterial chromosomes by quantitative PCR
(unpublished data) that would be anticipated if continual growth and death were
occurring [10]. Thus, we conclude that the increased metabolic activity
(i.e., TCA flux) of these strains reversed the general antibiotic tolerance induced
in vivo, even though replication was effectively suppressed by the combination of
stresses produced by host immunity. Many antibiotics kill bacteria not by inhibiting
a specific cellular target but by producing toxic metabolic byproducts [27]–[29]. Most of
these products, particularly reactive oxygen species, are produced in a
TCA-dependent manner in antibiotic-treated bacteria [27], suggesting that the drug
sensitivity of the more metabolically active Δtgs1 and
citA* strains was likely due to the increased production of
toxic intermediates.Despite the central role played by the tgs1 gene in restricting
growth under a number of environmental stresses, the induction of this gene is
certainly not the only mechanism regulating metabolic rate in response to stress.
The observation that citrate synthase overexpression has a quantitatively larger
effect than tgs1 deletion suggests that this enzyme may compete
with multiple redundant acetyl CoA-consuming pathways of which Tgs1-mediated TAG
synthesis is only one. Indeed, we identified a second TAG synthase in our genetic
screen (Table
S1) that is also likely to contribute to metabolic regulation. In
addition, mycobacteria are known to accumulate glycogen upon nitrogen starvation
[30], and
increased flux into the gluconeogenic pathway could also consume acetyl CoA and
limit metabolism. Thus, while tgs1 plays an indispensable role in
limiting mycobacterial growth under the DosR-stimulating conditions described here,
it is likely that other pathways contribute under different conditions. A number of
additional genes, such as those encoding both succinate- and pyruvate dehydrogenase,
were identified in our screen (Table S1). Further study will be required to
determine if these enzymes also act by redirecting carbon fluxes or if distinct
mechanisms are responsible.The propensity for mycobacteria to accumulate TAG in response to stress has been
described previously [20],[31], but the physiological role of this response has remained
unclear. Our work demonstrates that TAG synthesis represents an active stress
response in M. tuberculosis that promotes antibiotic tolerance both
in vitro and in vivo by reducing growth and metabolic activity. This supports the
hypothesis that quiescent bacterial populations are responsible for the relative
inefficacy of antibiotics in vivo. We suggest that the manipulation of these
metabolic regulatory pathways might represent a novel strategy to improve antibiotic
efficacy, once the consequences of such an intervention on pathogenesis and the
acquisition of drug resistance are more thoroughly understood.
Materials and Methods
Bacterial Strains, Plasmids, and Culture Conditions
Mycobacterium tuberculosis H37Rv (ATCC 27294) and
Escherichia coli DH5α were used. For aerated culture,
M. tuberculosis (Mtb) was grown in
Middlebrook 7H9 broth (Difco) supplemented with 0.05% Tween-80 and ADC
enrichment, or on 7H10agar with 10% OADC enrichment (Becton Dickinson)
at 37°C. Hygromycin and kanamycin were added at 50 and 25 µg/ml,
respectively. All cultures including aerated and TAG-accumulating cultures
(below) were initiated at 2.5×106 CFU/ml. For low pH culture,
7H9 broth was adjusted to pH 5.5 with 0.1 N HCl. When necessary,
tetrahydrolipstatin (THL), from 20 mg/ml stock in methanol, was added. For low
iron culture, Sauton's media with 0.05% Tween-80 was mixed with 20
g/l Chelex (BioRad). The chelated solution was sterile filtered and supplemented
with MgSO4 (4.2 mM) and FeCl3 (0.1 µM). The inocula
was washed with 10 µM EDTA for 10 min and then washed twice with iron-free
PBS containing 0.05% Tween-80.For hypoxic cultures, bacteria were inoculated into 17 ml of 7H9 broth
supplemented with Tween-80 and ADC in a 25 ml screw cap vial, which was sealed
with a teflon/silicon screw cap (Wheaton) and parafilm. Cultures were agitated
using a small magnetic stir bar rotating at 100–150 rpm/min. At a specific
time point, two or three vials were opened and viable bacterial numbers were
enumerated on 7H10agar.For measurement of replication during hypoxia, H37Rv and
Δtgs1 strains carrying plasmid pBP10 [32] were
inoculated into hypoxic culture, as described above. The percentage of
mycobacteria carrying the plasmid and theoretical doubling time were determined
as described [9].For bacterial culture in 384-well plates, inocula of H37Rv carrying pMSP12::GFP
[33] were
prepared in 7H9 broth as described above and dispensed into a 384-well plate (25
µl of culture per well) containing low iron media. The relevant metabolic
intermediates were added to each well at final concentrations of 0.1, 0.5, 1, 2,
5, and 10 mM. Plates were incubated at 37°C. Fluorescence was quantified
using a plate reader. Designated wells containing PBS + Tween-80 and 10 nM
of SYBR Green dye (Bio-Rad) were used to normalize between readings.
Genetic Manipulation of Mtb
The tgs1 gene (nucleotide #'s 3497344-3494008, as annotated
at http://genolist.pasteur.fr/TubercuList/) was replaced by a
hygromycin-resistance marker using the pJM1 suicide plasmid, as described [34]. For
complementation, the open reading frame (ORF) of tgs1 including
167 bps upstream nucleotides encompassing the putative promoter was cloned into
the integrating plasmid pMV306, and the resulting plasmid was transformed into
M. tuberculosis. The dosR
deletion mutant was generously provided by Dr. David Sherman. To constitutively
express citA (Rv0889c), the citA ORF was
cloned into pAL5000-based plasmids, pUV15tetO and pMV261. The strain bearing
pUV15tetO::citA was used for all presented data. However, all results were
confirmed using the strain harboring pMV261::citA. The empty vector pUV15tetO
had no effect on Mtb growth.
Transposon Site Hybridization
Two independent libraries of 105
himar-1 transposon mutants were seeded (OD600 of
0.02) into 50 ml conical tubes containing 35 ml of 7H9 medium including Tween-80
and OADC. Cultures were agitated as described above at 37°C for 6 wk, and
oxygen consumption was verified by the decolorization of methylene blue. After
selection, the surviving mutants were recovered by plating on 7H10agar in
parallel with the initial library. Hypoxic and control pools were then compared
in duplicate using TraSH, essentially as described [35]. Mutants that were
significantly overrepresented after hypoxic culture were defined using the
following criteria: arbitrary fluorescence intensity >300 in one of the two
channels, fluorescence ratio (hypoxic/control) >3, and t
test p value <0.05 after false testing correction
(GeneSpring GX. Agilent).
Drug Treatment In Vitro and Biochemical Analysis
Isoniazid (INH, Sigma), Ethambutol (EMB, Sigma), Streptomycin-sulfate (SMP,
Sigma), and Ciprofloxacin (CIP, Bayer) were used. Indicated concentrations of
drug were added at the initiation of aerated and low iron cultures or injected
at 14 d of post-incubation into hypoxic cultures using a gas-tight syringe
(Hamilton). At each time point, the bacterial viability in two to three
independent cultures was quantified by washing bacteria twice in PBS +
Tween-80 and plating.To analyze TAG content, bacteria were washed in PBS two times, and total cellular
lipids were extracted with chloroform:methanol (2:1). The lipid extracts were
dried and redissolved in the same solvent. TAG from bacterial cells,
corresponding to 2×107 CFU, was resolved by thin-layer
chromatography using glass-baked 250-µm-thick silica gel plates (Whatman)
using toluene and acetone (99:1) or hexane and diethylether (9:1) as a solvent.
TAG was stained by cerium molybdate and visualized after heating.Bacterial ATP concentrations of hypoxic cultures were measured using the
BacTiter-Glow kit (Promega). Adonosine 5-triphospate disodium (Sigma) was used
as a standard.Relative amino acid levels were measured by Ultrahigh Performance Liquid
Chromatography/Electrospray Ionization Tandem Mass Spectrometry with
quadruplicate samples of bacterial extracts from 109 cells, as
described in [36].For metabolic flux determination, 2 µCi of 1,2-14C-acetate
(American Radiolabeled Chemicals) was injected into hypoxic vials at 7 d and the
vials were incubated for 1–6 h. The amount of 14CO2
in the headspace of each vial was measured using a BACTEC TB-460 (Becton
Dickinson Co.). CPM increased linearly for the first 6 h after acetate addition.
All data shown were sampled during this period. TAG was quantified using a
phosphorimager (Fuji Film BAS-2500) following TLC separation.
Infections and Drug Therapy
C57BL/6 mice were infected through the aerosol route with Mtb at 200–300
CFUs/lung using a Glas-col aerosol exposure system. At the indicated time
points, groups of three to five untreated mice were sacrificed, the lungs and
spleens were homogenized in PBS containing 0.05% Tween-80, and dilutions
were plated on 7H10agar to enumerate CFU. The indicated groups of mice were
treated with antibiotics beginning at 4 wk of postinfection. Drug was delivered
ad libitum by adding the following concentrations to
drinking water: 100 µg/ml INH, 600 µg/ml EMB, and 600 µg/ml
Pyrazinamide (PZA, MP Biomedicals). All drug-containing water was replaced
weekly. Water consumption was monitored to determine the delivered daily dose
(INH: 26.5±0.9 mg/kg, PZA and EMB: 132.6±4.7 mg/kg). No
significant difference in consumption was observed between groups. To measure
CFU in drug-treated mice, the bacteria in organ homogenates were pelleted by
centrifugation and washed with PBS containing 0.05% Tween-80 before
plating.Competing acetyl CoA utilizing pathways modulate growth and antibiotic
sensitivity in M. tuberculosis. Under favorable growth
conditions, nutritional carbon is efficiently incorporated into central
metabolic pathways, such as the TCA cycle, fueling growth by providing the
cell with energy and biosynthetic precursors. Under these conditions, the
bacterium is sensitive to antibiotics, which preferentially target rapidly
metabolizing cells. A variety of environmental stresses trigger expression
of the DosR regulon, leading to the expression of the tgs1
gene and the conversion of mono- and di-acylglycerol (“MAG” and
“DAG”) into TAG. This response redirects the flow of carbon away
from growth-promoting pathways and into fatty acid synthesis, effectively
retarding the growth and metabolic activity of the organism. Under these
conditions, the low growth and metabolic activity of the organism renders it
relatively insensitive, or “tolerant” to antibiotics.
Genetically manipulating the flux of carbon between these two competing
pathways alters both the growth rate and antibiotic sensitivity of
M. tuberculosis.(TIF)Click here for additional data file.Δtgs1 mutants are unable to maintain energy homeostasis
during inappropriate growth under hypoxia. Graph shows the amount of ATP
extracted from bacteria that were cultured for the indicated times in sealed
vessels. Means ± SD of two independent experiments each performed in
duplicate are shown.(TIF)Click here for additional data file.ΔdosR and Δtgs1 mutants show
similar growth phenotypes under stress. Mutants lacking either of these
genes were cultured in low iron (A) or low pH (B). Means ± SD of
replicate cultures are shown. (C) Relative acr promoter
activity was determined using an acr-luciferase reporter
(pacr-lux
[22]). Log
phase aerobically grown bacteria (“O2”) are compared
with bacteria cultured in low pH media, low Fe media, or in hypoxic culture.
Asterisks indicate a significant difference from the
“O2” sample (* p < 0.05,
** p < 0.01).(TIF)Click here for additional data file.Oxaloacetate transiently enhances viability under hypoxic conditions.
Oxaloacetate (“OAA”) was introduced at 7 d into hypoxic
cultures. Viable cell numbers increased initially and thereafter declined.
Means ± SD of two independent experiments each performed in duplicate
are shown (* p < 0.05).(TIF)Click here for additional data file.Addition of tetrahydrolipostatin (THL) to low iron and pH cultures inhibits
growth of H37Rv in a tgs1-dependent manner. As indicated in
Materials and Methods, a variety of
concentrations of THL was added to low iron and pH media at the initiation
of culture. Each data point represents the average of triplicate
cultures.(TIF)Click here for additional data file.Intracellular amino acid abundance indicates that Δtgs1
and citA* strains remain metabolically active in
hypoxia. The relative abundance of the indicated amino acids in whole cell
extracts was determined by liquid chromatography followed by mass
spectrometry. Wild type H37Rv in log phase aerobic growth or after 2 wk of
hypoxic culture (open or dotted bars, respectively) are compared with
hypoxic cultures of the Δtgs1 or
citA* strains (black or hashed bars, respectively).
Measurements are the average of quadruplicate cultures. Values are expressed
relative to the hypoxic sample, and asterisks indicate a significant
difference from this sample (* p < 0.05, **
p <0.01).(TIF)Click here for additional data file.Δtgs1 mutant is not hypersensitive to most drugs under
favorable growth conditions. The indicated strains were treated with
isoniazid (“INH”, 0.25 µg ml−1, A),
streptomycin (“SMP”, 1 µg ml−1, B),
ciprofloxacin (“CIP”, 1 µg ml−1, C), or
ethambutol (“EMB”, 1 µg ml−1, D) for the
indicated times and bacterial survival was monitored by plating. Means
± SD of two independent experiments each performed in duplicate are
shown.(TIF)Click here for additional data file.Effect of modulating carbon fluxes on the growth and survival of M.
tuberculosis in untreated mice. C57BL/6 mice were infected via
the aerosol route with the indicated bacterial strains. Total bacterial
burden in the lungs (A) and spleen (B) are shown. Means ± SD from
three to five mice are shown. These data are representative of two
independent experiments.(TIF)Click here for additional data file.Mutants found to be overrepresented after hypoxic culture. Replicate
libraries of transposon mutants were subjected to 6 wk of culture in sealed
vials and compared to the initial pool using transposon site hybridization.
Mutants that were significantly overrepresented (criteria are described in
the Materials and Methods section) are
presented.(XLS)Click here for additional data file.
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