1. Microbiology and Infectious Disease

Flexible nitrogen utilisation by the metabolic generalist pathogen Mycobacterium tuberculosis

  1. Aleksandra Agapova
  2. Agnese Serafini
  3. Michael Petridis
  4. Debbie M Hunt
  5. Acely Garza-Garcia
  6. Charles D Sohaskey
  7. Luiz Pedro Sório de Carvalho  Is a corresponding author
  1. The Francis Crick Institute, United Kingdom
  2. Department of Veterans Affairs Medical Center, United States
https://doi.org/10.7554/eLife.41129
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Cite this article
  1. Aleksandra Agapova
  2. Agnese Serafini
  3. Michael Petridis
  4. Debbie M Hunt
  5. Acely Garza-Garcia
  6. Charles D Sohaskey
  7. Luiz Pedro Sório de Carvalho
(2019)
Flexible nitrogen utilisation by the metabolic generalist pathogen Mycobacterium tuberculosis
eLife 8:e41129.
https://doi.org/10.7554/eLife.41129
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Abstract

Bacterial metabolism is fundamental to survival and pathogenesis. We explore how Mycobacterium tuberculosis utilises amino acids as nitrogen sources, using a combination of bacterial physiology and stable isotope tracing coupled to mass spectrometry metabolomics methods. Our results define core properties of the nitrogen metabolic network from M. tuberculosis, such as: (i) the lack of homeostatic control of certain amino acid pool sizes; (ii) similar rates of utilisation of different amino acids as sole nitrogen sources; (iii) improved nitrogen utilisation from amino acids compared to ammonium; and (iv) co-metabolism of nitrogen sources. Finally, we discover that alanine dehydrogenase is involved in ammonium assimilation in M. tuberculosis, in addition to its essential role in alanine utilisation as a nitrogen source. This study represents the first in-depth analysis of nitrogen source utilisation by M. tuberculosis and reveals a flexible metabolic network with characteristics that are likely a product of evolution in the human host.

https://doi.org/10.7554/eLife.41129.001

eLife digest

Tuberculosis is an infectious disease caused by a bacterium called Mycobacterium tuberculosis. It is currently the leading cause of death by a single microbe worldwide, claiming the lives of 1.5 million people annually. The disease is difficult to cure, as many strains of the bacterium have developed resistance to the main drugs used to treat the infection. This leaves physicians with few options to treat tuberculosis and control its spread. The spread of these drug-resistant strains is a major global public health problem.

New strategies that do not lead to drug resistance are needed. One possibility would be to starve the bacterium. Like all living things, M. tuberculosis must eat to survive and spread. Right now, scientists do not know much about how this microbe eats. However, they do know that it needs nitrogen – an essential part of DNA, RNA, and proteins – to survive. Most bacteria like to consume ammonium as their main nitrogen source, but they may also use select amino acids as a nitrogen source.

Now, Agapova et al. show that M. tuberculosis is not a picky eater. In the experiments, the bacteria were fed different nitrogen sources. Then, they tracked how well the bacteria grew. The experiments showed that M. tuberculosis happily eats many different amino acids and may use more than one as a nitrogen source at a time. It does not tightly control its stockpile of nitrogen sources the way other bacteria do, or use ammonium very efficiently.

This suggests that M. tuberculosis has evolved to be very flexible in its dietary habits, which may explain why these bacteria can thrive in the varied environments within the human body. Knowing exactly how M. tuberculosis acquires and uses nitrogen may help scientists design ways to thwart the process and starve the bacteria.

https://doi.org/10.7554/eLife.41129.002

Introduction

Human tuberculosis, caused by the bacillus Mycobacterium tuberculosis, is now the greatest cause of death by a single infectious agent, surpassing deaths caused by HIV/AIDS (WHO, 2017). Tuberculosis is a complex and unique disease, whereby M. tuberculosis evades eradication by the immune system and often by chemotherapy with antibiotics. As with other bacterial diseases, tuberculosis is increasingly drug resistant, with strains resistant to two front-line drugs, isoniazid and rifampicin (multi-drug resistant), and additional resistance to an injectable antibiotic and a quinolone (extensive-drug resistant) killing now over 500 thousand patients out of a total of 1,800,000 deaths (WHO, 2017). Although novel first-in-class antitubercular agents have been discovered in the last 20 years (Tiberi et al., 2018), resistance to these agents and important side effects might preclude their widespread utilization and hence the reversal of the epidemic.

We and others believe that failures in drug discovery programmes aimed at finding transformative antitubercular agents are in large part caused by our incomplete understanding of bacterial phenotypic diversity in the host (Barry et al., 2009). Bacterial metabolic flexibility is thought to be essential for growth and survival in a variety of niches, where low pH, low oxygen tension, presence of reactive oxygen and nitrogen species, and scarcity of nutrients are commonly found. Although we are aware and partially understand some of the effects of low oxygen and mild acidic pH on M. tuberculosis growth and metabolism (Eoh and Rhee, 2013; Eoh et al., 2017), we clearly do not know the full complement of conditions and niches occupied by M. tuberculosis. In addition, we do not understand more fundamental aspects of M. tuberculosis nutrition and metabolism even in pure cultures devoid of host cells.

Despite all research carried out with M. tuberculosis in the last decades, we still lack fundamental understanding on how its unique metabolic network promotes survival in the human host, pathogenesis, and long-term persistence (Rhee et al., 2011; Ehrt et al., 2018). Most current knowledge of host-relevant M. tuberculosis metabolism spans central carbon metabolism (e.g. glycolysis, gluconeogenesis, glyoxylate bypass) (recently reviewed in Ehrt et al., 2018). In contrast, very little is known about nitrogen metabolism, in particular, we do not understand what are the essential features of nitrogen metabolism in M. tuberculosis (Gouzy et al., 2014a). For example, while we understand how post-translational regulation of nitrogen metabolism operates in mycobacteria (Carroll et al., 2008; Cowley et al., 2004; Nott et al., 2009; O'Hare et al., 2008; Pashley et al., 2006; Read et al., 2007; Rieck et al., 2017; Parish and Stoker, 2000), transcriptional regulation of nitrogen metabolism in M. tuberculosis is largely unknown. M. tuberculosis lacks homologues for nearly all known bacterial transcriptional factors involved in nitrogen metabolism in other bacteria Figure 1—figure supplement 1, and the transcriptional factor GlnR does not perform canonical functions (Williams et al., 2015). Instead, it appears that GlnR regulates ammonia and nitrate uptake in M. tuberculosis (Williams et al., 2015). Simple comparison of growth kinetics in identical culture medium reveals that M. smegmatis and M. tuberculosis growth differs significantly, not only due to inherent growth rate differences, but also lag phase and final biomass achieved Figure 1—figure supplement 2, points to species-specific variations in nitrogen metabolism. Importantly, the vast majority of studies to date focused exclusively on either ammonium (NH4+) as the sole physiologically relevant nitrogen source (Williams et al., 2015; Petridis et al., 2015) or employed surrogate fast-growing species such a M. smegmatis instead of M. tuberculosis (Petridis et al., 2015). For example, GlnR of M. smegmatis is evolutionarily closer to the homologues present in Nocardia farcina and Rhodococcus sp. RHA1 than those found in M. tuberculosis, M. bovis and M. avium (Amon et al., 2009), which could indicate different functions of GlnR within the Mycobacterium genus. This discrepancy indicates that M. smegmatis cannot be used as a model of M. tuberculosis with regards to nitrogen metabolism.

A number of studies were published at the time the now common culture media for in vitro growth of M. tuberculosis were developed (Proskauer and Beck, 1894). These studies provided rigorous and systematic analysis of the effect of amino acids as growth promoters for M. tuberculosis. In spite of this, four main issues preclude a deeper interpretation of the results obtained. First, cultures were not pre-adapted in the amino acids tested as sole nitrogen sources, leading to results that are likely partially distorted due to the nitrogen sources in the prior culture media. Second, cultures often contain multiple nitrogen sources, which complicate the analysis. Third, only recently nitrogen tracing was made possible by the use of modern high-resolution mass spectrometers and the use of labelled and position-specific labelled nitrogen sources. Finally, in a number of studies, qualitative results were reported instead of doubling times or growth rates, precluding direct comparisons between studies, conditions and/or species. In 2013–2014, two key studies unveiled an important aspect of host-relevant nitrogen metabolism in M. tuberculosis, namely that host amino acids such as L-aspartate (Asp) and L-asparagine (Asn) are important sources of nitrogen during infection (Gouzy et al., 2014b; Gouzy et al., 2013). These findings open a new avenue in host-M. tuberculosis relevant metabolism, revealing the use of organic nitrogen sources by M. tuberculosis during infection.

Although genomic data can be used to construct plausible sets of reactions that might form the core nitrogen metabolic network in M. tuberculosis (such as the one shown in Figure 1), these models are to some extent incomplete and inaccurate. Utilization of host amino acids as nitrogen sources requires some distinct characteristics from the M. tuberculosis metabolic network, which have neither been described or formally investigated to date in model organisms and hence cannot be modelled based on such systems. Another important metabolic network property to be considered is the ability to co-metabolise multiple nutrient (nitrogen) sources.

Figure 1 with 2 supplements see all
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Scheme of the core nitrogen metabolic network of M. tuberculosis.

1 – Glutamine synthetase (glnA1); 2 – glutamate synthase (gltBD); 3 – glutamate dehydrogenase (gdh); 4 – glutamate/oxaloacetate transaminase (aspB); 5 – glutamate/pyruvate transaminase (aspC); 6 – alanine dehydrogenase (ald); 7 – glutamate decarboxylase (gadB); 8 – aspartate/pyruvate transaminase (aspC); 9 – asparaginase (ansA). Scheme was constructed with data from the Kyoto Encyclopedia for Genes and Genomes (https://www.genome.jp/kegg/kegg2.html) and Mycobrowser (https://mycobrowser.epfl.ch/), and manually curated.

https://doi.org/10.7554/eLife.41129.003

In contrast to NH4+, amino acids have been largely under-studied as nitrogen sources for M. tuberculosis. In spite of this, there is now overwhelming evidence on the importance of amino acids during infection, highlighted by the profound infection attenuation observed with genetic knockout strains (Berney et al., 2015; Hondalus et al., 2000). We therefore decided to explore the structure and operation of the M. tuberculosis core nitrogen metabolic network with amino acids as nitrogen sources, employing a combination of bacterial physiology, metabolomics and stable isotope labelling experiments.

Results

M. tuberculosis can take up all proteinogenic amino acids.

As a first investigation on amino acid uptake and utilization by M. tuberculosis, we transferred bacteria-laden filters after 5 days’ growth on 7H10 media to individual fresh 7H10 agar plates containing 1 mM of each of the 20 proteinogenic amino acids. Cells were harvested 17 hr after transfer. Metabolites were extracted, separated, identified and quantified by liquid-chromatography high-resolution mass spectrometry, following procedures described elsewhere (de Carvalho et al., 2010; Larrouy-Maumus et al., 2013). The majority of amino acid intracellular pool sizes vary only modestly when M. tuberculosis is grown in media containing sole nitrogen sources different to NH4Cl (Figure 2a,b). However, an increase in intracellular pool size is observed for Gly, Ala, Val, Ile, Met, Pro, Phe, Tyr, Trp, Ser, Thr, Arg, and His when M. tuberculosis was cultured with the cognate amino acid as sole nitrogen source (highlighted in the diagonal of Figure 2a). Importantly, all amino acids present as sole nitrogen source alter the pool size of the cognate amino acid and/or other amino acid in M. tuberculosis, demonstrating that they are taken up. On Figure 2b, the data from Figure 2a are replotted to illustrate individual amino acids changes obtained with M. tuberculosis grown with different amino acids as sole nitrogen sources. These data show the final concentrations in samples, not fold-change, compared to NH4+ conditions. With few exceptions (Met and Trp) no change is observed in the summed amino acid pool size, when M. tuberculosis is incubated with different amino acids as the sole nitrogen source. Figure 2c contains the data from Figure 2b replotted as summed fold-change versus NH4Cl. Trp and His as sole nitrogen sources display significant effects on the summed abundance, but most of the other amino acids do not significantly affect overall pool size. In other words, Trp and His are readily taken up by M. tuberculosis and stored at high concentrations. Figure 2d shows data for all amino acids, independent of nitrogen source. It is apparent that most amino acid concentrations are not significantly altered in different nitrogen sources. Also, it is noteworthy that some amino acid concentrations vary considerably in different nitrogen sources, (e.g. Pro, Asp, Gln, Glu and Ala). Figure 2e illustrates amino acid levels observed when the cognate amino acid or NH4Cl were used as sole nitrogen source. Data further illustrate that nearly all amino acid pool sizes are altered when the cognate amino acid is present in the growth medium, as sole nitrogen source. This data is also highlighted on the diagonal in Figure 2a. Curiously, no change is observed in Leu, Asn, Gln, Asp, Glu and Lys when the respective cognate amino acid was added to the growth medium. Figure 2f illustrates the concentrations of Gln in M. tuberculosis when different amino acids or NH4Cl are present in the growth medium. Interestingly, very little change in Gln pool size is observed. This is surprising, as Gln is thought to be one of the key indicators of nitrogen levels in cells, alongside with α-ketoglutarate (Senior, 1975).

Figure 2
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Proteinogenic amino acids as sole nitrogen source for M. tuberculosis.

(a) Heatmap illustrating the changes in amino acids (X-axis) when M. tuberculosis is grown on each individual amino acid as sole nitrogen source (Y-axis). Data shown as fold-change (amino acid/NH4+). Grey squares indicate that abundance of a particular metabolite was too low to be quantified. Cysteine was undetectable in all conditions and was omitted from this plot. Panels (b–f) are re-plots of the data shown in panel (a). (b) Summed abundance of amino acids in each amino acid as sole nitrogen source. (c) Data from panel (b) presented as fold-change over NH4+. (d) Amino acid abundances irrespective of the sole nitrogen source used, highlighting the variation on each amino acid in different nitrogen sources (e.g. higher variation in Pro and lower in Asn). Each symbol represents the average concentration obtained with a single individual nitrogen source. (e) Amino acid concentrations in NH4+ and in medium containing the cognate amino acid as sole nitrogen source. (f) Concentration of Gln in extracts from M. tuberculosis grown on different amino acids as sole nitrogen source. All concentrations are final concentrations in lysates obtained from approximately 109 cells, and not concentrations per cell. Data is the average of three biological replicates and representative of two independent experiments.

https://doi.org/10.7554/eLife.41129.006

Overall, these results indicate that M. tuberculosis does not control the pool sizes of all 20 amino acids homeostatically, given that the intracellular concentrations of certain amino acids rise or fall depending on extracellular amino acid/nitrogen source availability. This finding suggests that there are two groups of proteinogenic amino acids in M. tuberculosis, the ones that are homeostatically controlled and the ones which intracellular concentration will be affected by extracellular availability. These results also document directly, for the first time, the ability of M. tuberculosis to uptake all 20 proteinogenic amino acids.

Amino acids are superior nitrogen sources, compared to NH4+

Before carrying out an in-depth analysis of nitrogen metabolism we investigated whether or not the medium used to culture M. tuberculosis prior to switching to media with defined sole nitrogen sources could lead to false results. Pre-culture medium composition has been shown to affect carbon metabolism (de Carvalho et al., 2010). We ‘pre-cultured’ M. tuberculosis in either standard Middlebrook 7H9 broth (containing Glu and NH4+) or a 7H9NH4+ broth (a synthetic version of Middlebrook 7H9 broth, with NH4+ as sole nitrogen source), prior to the experiment in 7H9NH4+ broth. When pre-conditioned in standard 7H9, growth of M. tuberculosis in 7H9NH4+ led to a significantly higher biomass accumulation than when pre-conditioned in 7H9NH4+Figure 3—figure supplement 1. Therefore, without pre-adaptation in the nitrogen source that will be tested, such experiments will likely always overestimate the potential of nitrogen sources. This is particularly problematic when working with compounds that are not able to serve as sole nitrogen source, or are poor sole nitrogen source. Based on these results, all experiments were carried out with cultures that were pre-adapted in a medium of identical composition to the test medium for at least 3 days (unless otherwise stated). Of note, a potential confounding factor in our experiments is the presence of carbon-containing nitrogen sources, such as amino acids, and carbon-free, such as NH4Cl, which could lead to faster grown. However, our media contains an excess of carbon sources (2 g/L glucose and 2.52 g/L glycerol), and therefore it is unlikely that additional carbon in the form of amino acids can account for the results described below.

Figure 3d shows representative growth curves obtained in Glu, Gln, Asp, Asn and NH4Cl, as sole nitrogen sources. All four amino acids were superior nitrogen sources to NH4Cl, at all concentrations tested (Figure 3b and c), both in terms of doubling rate and final biomass generated. It is noteworthy that pre-adaptation in medium with NH4Cl as sole nitrogen source shows that M. tuberculosis can only optimally utilise NH4+ as sole nitrogen source until up to 0.25 g/L (4.67 mM). Higher concentrations of NH4Cl lead to less growth, indicating that high concentrations of ammonium are toxic. Based on these results the following order represents the preferential utilisation of sole nitrogen sources (considering final biomass): Glu > Asp > Asn > Gln > NH4+. Interestingly, when pre-adapted cultures were grown in medium containing no nitrogen source, growth persisted in all cases (Figure 3d). This limited growth is likely due to the low levels of ferric ammonium citrate (0.04 g/L) added to the medium as an iron source. Moreover, this growth was different, depending on nitrogen source: cells pre-adapted to Asp, Asn and NH4Cl allowed growth to an OD ~1.0, while those pre-adapted to Glu and Gln grew to OD ~0.2. To confirm the ‘metabolic conditioning effect’ induced by the pre-adaptation medium, we sub-cultured cells after 15 days into fresh medium (with only ferric ammonium citrate). Pre-adaptation with Glu and Gln again led to poor growth, while cells derived from medium containing Asp, Asn and NH4Cl grew to an OD ~1, in a concentration-dependent manner (Figure 3e). In similar experiments, where ferric citrate was used instead of ferric ammonium citrate, negligible growth was observed in derived from media containing Glu and Asp, while slightly better growth was observed with cells derived from media containing Gln, Asn and NH4+ (Figure 3f). These results indicate that M. tuberculosis does not store nitrogen to any major extent.

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Analysis of M. tuberculosis growth in pre-adapted nitrogen cultures.

(a) Growth curves in 7H9Nx broth (sole nitrogen source). (b) Table with g/L to mM conversions for each nitrogen source used. (c) Replot of final biomass achieved (OD600 nm) for each nitrogen source, after 15 days (a). Solid lines are the fit to a hyperbolic equation, describing saturation. (d) Re-plot of data at no-nitrogen from (a), illustrating different residual growth. (e) Growth curves in 7H9Nx broth without added nitrogen, after cultures were grown for 15 days on nitrogen media (a). 7H9Nx broth still contains low level of nitrogen, in the form of ferric ammonium citrate. (f) Growth curves in synthetic 7H9Nx# broth, lacking nitrogen (ferric ammonium citrate was substituted by ferric citrate), after cultures were grown for 15 days on nitrogen media (a). Symbols are data and solid lines in growth curves are the fit to a sigmoidal equation describing bacterial growth. Data are representative of two independent experiments. Error bars are standard error of the mean.

https://doi.org/10.7554/eLife.41129.007

Taken together, these results reveal that the amino acids Glu, Gln, Asp, and Asn are superior to NH4+ as sole nitrogen sources for M. tuberculosis, leading to high biomass and faster growth. When traces of NH4+ are present but no added nitrogen sources have been included, prior sole nitrogen exposure does have an effect on growth, likely indicative of complex metabolism which probably also involves carbon metabolism.

Utilisation of position-specific nitrogen atoms by M. tuberculosis

An essential step in the analysis of nitrogen metabolism with nitrogen sources containing more than one nitrogen atom, such as Gln and Asn, is to define which nitrogen atom(s) is/are being utilised. This characteristic is likely variable and species-specific, and the precise nature of which is currently unclear in M. tuberculosis. To confirm which metabolic reactions are likely taking place, we performed labeling experiments with position-specific labelled Gln and Asn (Figure 4a). The most direct chemical reactions producing five key amino acids (Glu, Gln, Asp, Asn and Ala) and the label incorporation data obtained from doubly and position-specific labelled 15N-Gln and 15N-Asn are shown in Figure 4b–f. These results indicate that both nitrogen atoms from Gln and Asn are utilised by M. tuberculosis and, specifically that: (i) glutamate synthase is converting the δ15N from Gln into α15N-Glu (Figure 4b), explaining the incorporation of δ15N from Gln into the α15N-Asp, via direct transamination from α15N-Glu (Figure 4d); (ii) direct transamination between α15N-Glu, the other product of the glutamate synthase reaction, and α15N-Asp is clearly observed (Figure 4d); (iii) when position-specific labelled Asn is used, the dominant form of Asp observed in α15N-Asp (Figure 4d), indicating that the NH4+ released by asparaginase is likely assimilated to Gln which is distributed broadly in metabolism (Figure 4b, c and f), but only modestly to Asp (Figure 4d); (iv) labelled Asn is only detectable when Asn is the nitrogen source (Figure 4e), confirming that no Asn synthesis is taking place in M. tuberculosis. In contrast to common knowledge, a number of bacteria, including mycobacteria, do not synthesize Asn using asparagine synthetase, but instead they employ a pathway that relies on the amidation of Asp-tRNAAsn (Javid et al., 2014) (v) use of either position-specific labelled Gln or Asn, leads to identical labelling of Glu (Figure 4b), consistent with access of both α and γ/δ nitrogen atoms; (vi) labelling of Gln with position specific Gln and Asn is indistinguishable, demonstrating that all nitrogen derived from Asn is mobilised through Gln (Figure 4c); and (vii) labelling patterns obtained for Ala in the presence of position-specific labelled Gln and Asn are very similar, indicating again that most of the nitrogen derived from Asn is assimilated first into Gln, and then distributed to other metabolites, reflecting the data shown in Figure 4c.

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Network structure and kinetic analysis of nitrogen utilisation by M. tuberculosis.

(a) Scheme illustrating the structure and position-specific labelling of nitrogen atoms on Gln and Asn. The following m/z values were used in positive mode (M+H)+: Glu – 148.0604, 15N-Glu – 149.0575, Gln – 147.0764, 15N-Gln – 148.0735, 15N2-Gln – 149.0705, Asp – 134.0448, 15N-Asp – 135.0418, Asn – 133.0608, 15N-Asn – 135.0578, 15N2Asn – 135.0548, Ala – 90.0550, and 15N-Ala – 91.0520. (b–f) Data on universally or position-specific labelled Gln or Asn and simplest metabolic routes that would lead to the expected labelling patterns obtained. (b) Labelling of Glu. Glutamate synthase (with Gln) and asparaginase, glutamate dehydrogenase and glutamate/oxaloacetate transaminase (with Asn). (c) Labelling of Gln. Asparaginase, glutamate dehydrogenase, glutamine synthetase (not shown) and glutamate/oxaloacetate transaminase, followed by glutamine synthetase (not shown). (d) Labelling of Asp. Glutamate synthase (not shown) and glutamate/oxaloacetate transaminase, with Gln. Asparginase is responsible for most of the labelling in Asp, when Asn is the sole nitrogen source. (e) Labelling of Asn. No Asn can be measured in Gln as sole nitrogen source. And most Asn is labelled when Asn is the sole nitrogen source. (f) Labelling of Ala. Glutamate synthase (not shown), glutamate/pyruvate transaminase, with Gln as sole nitrogen source. Asparaginase, alanine dehydrogenase and aspartate/pyruvate transaminase, with Asn as sole nitrogen source. (g) Representative labelling (coloured segment of the bars) and pool sizes for different amino acids obtained after 17 h culture in 15N-labelled nitrogen sources. Labelling data is coloured by nitrogen source and represents the sum of all labelled species for each ion. (h) Data illustrating quantitative analysis of nitrogen labelling in M. tuberculosis in sole nitrogen sources obtained during the course of 17 h. Labelling data (shown in Figure 4—figure supplement 1) was fitted to a single exponential rise to a maximum (L=Lmax×1-e-Rt). Black squares indicate uptake (cognate amino acid) and not metabolic labelling. Data shown is representative of two independent experiments.

https://doi.org/10.7554/eLife.41129.009

Kinetics of nitrogen metabolism in M. tuberculosis

Label incorporation from 15N Glu, 15N2-Gln, 15N-Asp, 15N2-Asn and 15NH4Cl obtained under metabolic steady-state, over the course of 17 hr, revealed several important features of M. tuberculosis nitrogen metabolism, including different kinetics of 15N labelling (Figure 4g and h, and Figure 4—figure supplement 1). As expected, regardless of the nitrogen source, robust label incorporation into amino acids belonging to core nitrogen metabolism was observed, with exception of Asn, which was only observed when cells grew in Asn as sole nitrogen source (Figure 4g). It is noteworthy that the Ala pool size and labelling was significantly higher when NH4Cl or Asn was the sole nitrogen source. Also, in agreement with data shown in Figure 2a, external amino acid availability does not necessarily correlate with increased intracellular pool size. For example, Glu and Gln are more abundant with Asp and Asn as the sole nitrogen source, respectively (rather than in the cognate amino acid as sole nitrogen source).

Taking the position-specific labelling data and corresponding likely metabolic paths, in conjunction with current biochemical and genetic knowledge of the enzymes of the core nitrogen metabolic network (summarised in Figure 1), we calculated exponential labelling rates (R) and maximum labelling levels (Lmax) for various core amino acids when Asp, Asn, Glu, Gln and NH4Cl were used as sole nitrogen sources (Figure 4h and Figure 4—figure supplement 1). Lmax for different sole nitrogen sources appears to be similar (Figure 4h), indicating that, in principle, nitrogen derived from Glu, Gln, Asp, Asn and NH4+ can reach similar high levels (close to 100%) in the core nitrogen metabolites of M. tuberculosis before the first division (17 hr). (Figure 4h). In contrast, R values varied considerably, depending on the sole nitrogen source present and reactions needed to transfer the 15N atom to individual metabolites (Figure 4h). Once again, it is clear that NH4+ is not the most efficient nitrogen source for M. tuberculosis, as it leads to only modest labelling of key core metabolites, compared to other sole nitrogen sources. Lmax and R for Asn are only consistently observed when Asn is used as sole nitrogen source, supporting the idea that M. tuberculosis has a very small Asn pool (Figure 4g and h). L% in Figure 4h illustrates early (2 hr incubation) labelling of metabolites, and further highlights the differences in R values for each nitrogen source. Of note, the metabolic patterns observed with different nitrogen sources are not secondary, i.e. derived from effects on carbon metabolism. As can be seen in Figure 4—figure supplement 2, very little changes in the pool sizes of key metabolites from glycolysis and Krebs cycle are observed and those do not correlate with nitrogen source usage.

Co-catabolism of amino acids does not improve growth

M. tuberculosis has been shown to be able to co-catabolise carbon sources (de Carvalho et al., 2010), resulting in a better growth than the one observed in individual carbon sources. Co-catabolism of carbon sources is a metabolic feature highly unusual in bacteria, which usually catabolise carbon sources sequentially, displaying biphasic (diauxic) growth kinetics. In the case of host-adapted pathogens, co-catabolism is thought to contribute to improved survival, although no direct knowledge of co-catabolism of nitrogen sources exists at present. To investigate the potential for this in M. tuberculosis, we grew cells in media containing the following combinations of nitrogen sources: 15N-Glu+14N-Gln, 14N-Glu+U15N-Gln, 15N-Asp+14N-Asn, or 14N-Asp+U15N-Asn. All nitrogen source combinations lead to robust labelling of Glu, Gln, Asp, Asn (Figure 5), indicating that M. tuberculosis is indeed able to take up and co-metabolise nitrogen sources. Extracted ion chromatograms (Figure 5a) show significant 15N metabolism in all conditions (i.e. high levels of labelled metabolites in the absence of labelled nitrogen sources). Mass spectral data (Figure 5b) show that Gln (initially labelled or unlabelled) has been metabolised extensively, generating all three isotopologues (14N2, 14N15N and 15N2). Mass spectral analysis further confirms that no Asn is being synthesised in M. tuberculosis, as no labelled Asn (15N2 or 15N1) is found when 15N-Asp is used as nitrogen source and no 15N-Asn is present when 15N2-Asn is provided as nitrogen source. Figure 5c provides average values and errors for labelling of Glu, Gln, Asp, Asn and Ala, in dual nitrogen sources. Interestingly, Ala labelling appears to derive mainly from Asn, rather than Asp. This suggests that Asn is being hydrolysed to Asp and NH4+, and likely that Ala is either a main entry point for 15NH4+ or it serves as nitrogen storage. This result is in strict agreement with the very fast and extensive label incorporation of Ala when using 15NH4+ or 15N-Asn as sole nitrogen sources (Figure 4g and h). In spite of clear co-metabolism of two different nitrogen sources, no growth advantage (faster doubling time and highest biomass) is observed Figure 5—figure supplement 1. Therefore, it seems that while M. tuberculosis uses multiple nitrogen sources simultaneously co-metabolism of related nitrogen sources (i.e. Glu/Gln and Asp/Asn) does not lead to improved growth (i.e. fastest growth and higher biomass achieved).

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M. tuberculosis co-metabolises nitrogen sources.

(a) Representative extracted ion chromatograms (EICs) for intracellular metabolites from cultures obtained in the presence of dual nitrogen sources (Glu + Gln or Asp +Asn), with one of the nitrogen sources 15N-labelled. (b) Representative mass spectra corresponding to the metabolites in Figure 5a. The following m/z values were used in positive mode (M + H)+: Glu – 148.0604, 15N-Glu – 149.0575, Gln – 147.0764, 15N-Gln – 148.0735, 15N2-Gln – 149.0705, Asp – 134.0448, 15N-Asp – 135.0418, Asn – 133.0608, 15N-Asn – 135.0578, and 15N2Asn – 135.0548. (c) Combined labelling data obtained for the same metabolites, in different combinations of two carbon sources. Bars are averages of three biological replicates, colour indicates labelled metabolites/nitrogen sources and error bars are the standard error of the mean.

https://doi.org/10.7554/eLife.41129.012

Alanine and alanine dehydrogenase as a fundamental node in nitrogen metabolism

Ala pool size and labelling patterns (Figure 4g and h) are incompatible with our current understanding of nitrogen metabolism in M. tuberculosis. If NH4+ utilization, either direct or derived from Asn, proceeded through glutamine synthetase or glutamate dehydrogenase, labelling of Glu would always be greater than Ala, which would be produced by transamination of Glu. However, this is not the case. To investigate Ala metabolism in the context of nitrogen assimilation, we first confirmed whether Ala could serve as a nitrogen source. Figure 6a shows that M. tuberculosis can grow in the presence of Ala as a sole nitrogen source, or in binary combination of Ala with Glu, Gln, Asp, Asn, or NH4+Cl. These results are consistent with Ala being utilised as a sole nitrogen source and in combination with other nitrogen sources, but without any growth advantage (mirroring the result observed for Glu/Gln and Asp/Asn co-metabolism). qPCR analysis of transcript levels for asparaginase (ansA), glutamine synthetase (glnA1), glutamate dehydrogenase (gdh) and alanine dehydrogenase (ald), in sole nitrogen sources was carried out to define if transcriptional programmes are involved in control of nitrogen metabolism, and in particular of alanine dehydrogenase, despite the current lack of potential transcriptional regulators of nitrogen metabolism (Figure 6b). Consistent with the hypothesis that alanine dehydrogenase works as a NH4+ assimilatory route, ald RNA levels are found to be higher when M. tuberculosis was grown in media with NH4+, Asn, Asp and Gln, compared to nitrogen-free medium (Figure 6b, -N/+N). In addition, ald RNA levels are found to be decreased under nitrogen starved conditions, in comparison to gdh, glnA1 and ansA RNA levels (Figure 6b, 0/-N), suggesting that ald-driven nitrogen assimilation is likely more important under nitrogen-rich conditions. The constant levels of expression of ald gene when Ala was the sole nitrogen source is likely due to the oxidative deamination of Ala (physiological reaction) is significantly favoured over the reductive amination of pyruvate, and therefore much less enzyme is required.

Figure 6
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Alanine and alanine dehydrogenase roles in M. tuberculosis nitrogen metabolism.

(a) Growth of M. tuberculosis on alanine as sole nitrogen source or in combination with a second nitrogen source. (b) Gene expression ratios (qPCR) in different nitrogen sources confirms induction of ald gene in the presence of NH4+-containing medium (lower values in the –N/+N plots). "0" indicates the original condition, "-N" indicates medium without a nitrogen source and "+N" indicates medium with a sole nitrogen source.gdh, glnA1, and ansA genes, encoding glutamate dehydrogenase, glutamine synthetase and asparaginase were used as controls, respectively. SigE (Rv1221) was used as internal standard. Symbol colour represents nitrogen source used. Dashed gray lines are used to indicate fold change. Error bars represent standard deviations from three biological replicates. (c) Growth of M. tuberculosis (WT), ald KO, and complemented strains in selected sole nitrogen sources. (d) Labelling of selected amino acids obtained with parent, ald KO, and complemented strains cultured in NH4+ or Gln as sole nitrogen sources. (e) Growth of M. tuberculosis in single nitrogen sources in the presence of various concentrations of bromo-pyruvate (top panels) or methionine sulfoximine (bottom panels), inhibitors of alanine dehydrogenase and glutamine synthetase, respectively. (f) Reaction catalysed by alanine dehydrogenase and glutamine synthetase and their inhibitors. Data shown are representative of two independent experiments. Error bars are standard error of the mean.

https://doi.org/10.7554/eLife.41129.014

To define the role of ald-encoded alanine dehydrogenase in mobilisation of nitrogen to and from Ala, we compared a M. tuberculosis lacking ald, to parental and complemented strains (Giffin et al., 2012). Genetic disruption of ald completely abolished the ability of M. tuberculosis to grow when Ala was the sole nitrogen source, with no effect when NH4+ or Gln were sole nitrogen sources (Figure 6c). These results demonstrate that alanine dehydrogenase is essential for assimilation of NH4+ from Ala, as shown elsewhere (Giffin et al., 2012). Interestingly, growth was also significantly diminished in the ald-knockout strain when Asp was the sole nitrogen source; however, only partial complementation was obtained (Figure 6c). Growth of parent, ald-knockout and complemented strains was indistinguishable in NH4+ as sole nitrogen source, confirming that ald is not the main route for NH4+ assimilation in M. tuberculosis. This secondary role of alanine dehydrogenase in assimilation is further supported by lack of changes in label incorporation into Glu, Gln and Ala when parent, ald-knockout, and complemented strains were grown with 15NH4+Cl or 15N-Gln (Figure 6d). Final evidence for the essentiality of alanine dehydrogenase in nitrogen assimilation from Ala and secondary role during 15N assimilation was obtained using the inhibitors of alanine dehydrogenase and glutamine synthetase, bromo-pyruvate (Bellion and Tan, 1987) and methionine sulfoximine (Harth and Horwitz, 1999), respectively (Figure 6e and f). Bromo-pyruvate partially inhibits growth when NH4+, Ala and Glu are used as sole nitrogen source, but not in Gln. In addition to alanine dehydrogenase, glutamate dehydrogenase is likely also partially inhibited at the concentrations tested, leading to the phenotype observed with bromo-pyruvate in Glu (Figure 6f, top panels). Methionine sulfoximine completely abrogated growth in NH4+ and to a less extent in Ala and Glu but not in Gln as the sole nitrogen source (Figure 6f, bottom panels). Together, these results demonstrate that alanine dehydrogenase is essential for utilisation of Ala as sole nitrogen source, but not the main route for NH4+ assimilation, a task undertaken primarily by glutamine synthetase.

Discussion

Despite knowing that amino acids can be used by M. tuberculosis in vitro for over one hundred years (Proskauer and Beck, 1894) only in 2013 and 2014 the first two reports of amino acid utilisation as nitrogen sources by M. tuberculosis during infection were published (Gouzy et al., 2014b; Gouzy et al., 2013). Based on these studies, we set out to evaluate how M. tuberculosis utilises nitrogen derived from amino acids in comparison to NH4+.

An unbiased parallel analysis of amino acid uptake and metabolism reveals for the first time that M. tuberculosis can uptake all 20 proteinogenic amino acids. Of interest, it seems that several amino acids can be stored in M. tuberculosis, leading to a significant increase in pool size. Such dramatic increase in pool size indicates that the levels of certain amino acids are not homeostatically controlled, but might partially reflect the composition of the medium where bacteria grow. These results coupled with growth kinetic analysis indicates that Glu, Gln, Asp, Asn, Ala are taken up and rapidly metabolised, as sole nitrogen sources, while all the remaining proteinogenic amino acids are taken up by M. tuberculosis, but are not utilised as sole nitrogen sources. This accumulation indicates that M. tuberculosis metabolic network is adapted to uptake all amino acids, but not necessarily utilise their carbon and nitrogen atoms. For example, M. tuberculosis genome lacks genes commonly utilised to degrade histidine, tryptophan, tyrosine and phenylalanine (Cole et al., 1998). The α amino group from these amino acids could in theory be transferred and serve as a nitrogen source, however as M. tuberculosis cannot catabolise the residual α-keto acid this would likely lead to their intracellular accumulation which in turn would acidify the cytosol, in addition to affect other cellular processes. In contrast, the inability to extract nitrogen from valine, isoleucine and threonine cannot be easily explained, as these amino acids can be degrade or re-routed. Likely the overall architecture of the nitrogen metabolic network, kinetic properties of each of its enzymes, and actual pool size of its key metabolites has a dominant effect on directionality of reactions and actual metabolic flux.

One of the most important results we obtained is that several amino acids are superior nitrogen sources, compared to NH4+. These results indicate that the vast majority of studies carried out to date on nitrogen metabolism of M. tuberculosis using NH4+ as sole nitrogen source are likely not relevant to physiologic conditions found in the host. More emphasis should be put into microbiological research with amino acids and complex mixtures, as oppose to NH4+, as sole nitrogen sources. Of note, similar experiments carried out with NH4+ in E. coli (doubling time ~once per 20 min) revealed first-order labelling rates of 14.9, 0.8, >1.6 and 2.8 min−1 for Gln, Glu, Ala and Asp, respectively (Yuan et al., 2006). Our results with M. tuberculosis, which doubles every 20 hr, and NH4+ are: 9.5 × 10−3, 3.7 × 10−3, 7.5 × 10−3 and 3.5 × 10−3 min−1 for Gln, Glu, Ala and Asp, respectively. These labelling rates are approximately 1500-, 216-, >213-, and 800-fold slower than in E. coli. Therefore, it seems that E. coli takes and utilises nitrogen from NH4+ between 3- and 26-fold faster, taking into account the doubling rate. Labelling of Glu, Gln, Asp, Asn, Ala and GABA in amino acids as sole nitrogen sources is up to 10-times faster than in NH4+as sole nitrogen source, which supports our hypothesis that M. tuberculosis has evolved to utilise preferentially host amino acids as nitrogen sources, and to a lesser extent NH4+.

Nitrogen sources containing more than one nitrogen atom, such as Gln and Asn, were for the first time evaluated with respect to the mobilisation of individual nitrogen atoms. This can only be directly investigated using position-specific labelled Gln and Asn. Our metabolomics results reveal that both nitrogen atoms from Gln and Asn are utilised by M. tuberculosis. This result is not easily predicted, as the ability of these to serve as a sole nitrogen sources cannot be deduced from growth kinetics alone. In fact, analysis of position-specific nitrogen utilisation reveals how misleading growth kinetics alone might be as surrogate of uptake/utilization of nutrients. Both Glu and Asp, containing a single nitrogen atom, lead to greater biomass, than Gln and Asn, containing two nitrogen atoms.

Kinetic analysis of nitrogen metabolism employing 15N-labelled single nitrogen sources (Gln, Glu, Asn, Asp and Ala) reveals that M. tuberculosis metabolic network appears to be highly evolved to use very well a number of nitrogen sources, despite M. tuberculosis ability to biosynthesise all amino acids. All nitrogen sources tested are able to ‘donate’ their nitrogen atoms relatively fast, compared to NH4+.

Co-metabolism of nitrogen sources has never been directly evaluated in any mycobacteria, and only modestly explored in other bacteria. Employing a 15N-labelled nitrogen source in combination with a 14N-containing nitrogen source, we demonstrate that at least Glu/Gln and Asp/Asn are simultaneously used by M. tuberculosis. As we have suggested for carbon sources (de Carvalho et al., 2010), this is a characteristic that is likely important during growth under low nutrient levels, such as when M. tuberculosis is found in nutrient-restricted reservoirs intra- or extracellularly. Co-metabolism must lead to a more compartmentalised/optimised used of the metabolic network. Contrary to the results obtained with carbon sources which clearly indicate an advantage of co-metabolism, no growth advantage (doubling-rate and final biomass) is observed with the combined nitrogen sources tested.

Of interest, Ala appears to be labelled faster than Glu, using a number of sole nitrogen sources. This behaviour could not be expected or explained based on our current understanding of M. tuberculosis metabolism. Employing ald knockout and complemented strains, labelled nitrogen sources, and inhibitors of key nitrogen metabolic enzymes we show that this behaviour is likely due to the reversal of reaction catalysed by alanine dehydrogenase (reductive amination of pyruvate). Our data also reveal that alanine dehydrogenase is absolutely essential for utilisation of Ala as sole nitrogen source, in agreement with the result from Giffin et al. (2012). Given that the Ala pool size dramatically increases during growth in NH4+ and in Gln, but the enzyme is not essential for growth in NH4+ and in Gln as sole nitrogen source it is likely that Ala represents a quickly accessible route to store nitrogen in M. tuberculosis.

Nitrogen is thought to ‘freely’ move between molecules once it has been assimilated into Gln and Glu. The latter, is thought to be able to donate its nitrogen atom via a number of transaminases encoded in the genome. Our data does not support such an unregulated and freely reversible exchange. Although transamination reactions are usually fast and have equilibrium constants close to unit, large disparities in the pool sizes of amino acids and related α-keto acids likely impart a single viable direction of nitrogen flow. For example, alanine dehydrogenase is not essential for Ala biosynthesis in M. tuberculosis, given that the ald knockout strain is not an Ala auxotroph. This supports the existence and functioning of a bona fide glutamate/pyruvate transaminase in M. tuberculosis and/or the presence of another alanine synthesising pathway/enzyme which can provide enough Ala to support cell wall and protein biosynthesis. Our data unambiguously demonstrates that Ala cannot donate its nitrogen to α-KG, producing Glu and pyruvate. If this is true for other transaminases, it would indicate that Glu is the source of nitrogen for transaminations in M. tuberculosis, but only made from glutamate synthase and/or glutamate dehydrogenase, instead of by transamination of amino acids and α-KG. Consequently, amino acids that do not possess alternative enzymatic systems able to remove the α nitrogen, such as dehydrogenases, will likely not serve as nitrogen sources.

Together, these results reveal a number of cellular and molecular details about nitrogen metabolism in M. tuberculosis which have escaped detection over the last few decades. Some of these behaviours and characteristics are unique and are likely the results of tens of thousands of years of adaptation to optimise grow and persist in humans as the sole or principal natural reservoir. This extreme ecologic adaptation appears to have shaped M. tuberculosis into an ‘opportunistic’ nutritional generalist. That is, M. tuberculosis is able to synthesise every molecule required for its survival but also able to uptake and metabolise a number of different carbon and nitrogen sources from the host.

The ability of M. tuberculosis to uptake and utilise a number of proteinogenic amino acids as nitrogen sources likely makes nitrogen uptake an uninviting target for the development of novel antitubercular agents. On the other hand, the ability of M. tuberculosis to uptake amino acids which cannot serve as nitrogen sources and might be toxic will likely teach us the true biochemical and metabolic constraints of this pathogen, some of which might find application in drug discovery.

Materials and methods

Key resources table
Reagent type
(species)
or resource		DesignationSource
or reference		IdentifiersAdditional
information
Strain, strain background (M. tuberculosis)H37RvMRC-National Insititute for Medical Research
Strain, strain background (M. tuberculosis)H37Rv (parent of KO)doi: 10.1128/JB.05914–11.Giffin et al., 2012
Strain, strain background (M. tuberculosis)Alanine dehydrogenase KOdoi: 10.1128/JB.05914–11.Giffin et al., 2012
Strain, strain background (M. tuberculosis)Alanine dehydrogenase complementdoi: 10.1128/JB.05914–11.Giffin et al., 2012
Software, algorithmPrism 7GraphPad Software
Software, algorithmQualitative Navigator B.07.00Agilent software
Software, algorithmProfinder B.08.00Agilent software
Chemical compound, drugMiddlebrook 7 H9Sigma-AldrichM0178
Chemical compound, drugADC supplementSigma-AldrichM0553
Chemical compound, drugOADC supplementSigma-AldrichM0678
Chemical compound, drugMiddlebrook 7 H10Sigma-AldrichM0303
Chemical compound, drugTyloxopolSigma-AldrichT8761
Chemical compound, drugGlycerolSigma-AldrichG5516
Chemical compound, drugSodium sulphateSigma-Aldrich239313
Chemical compound, drugSodium citrateSigma-Aldrich51804
Chemical compound, drugPyridoxineSigma-AldrichP9755
Chemical compound, drugBiotinSigma-AldrichB4501
Chemical compound, drugSodium phosphate dibasicSigma-Aldrich71642
Chemical compound, drugPotassium phosphate monobasicSigma-Aldrich60220
Chemical compound, drugFerric ammonium citrateSigma-AldrichF5879
Chemical compound, drugFerric citrateSigma-AldrichF3388
Chemical compound, drugMagnesium sulphateSigma-AldrichM5921
Chemical compound, drugCalcium chlorideSigma-AldrichC8106
Chemical compound, drugZinc sulphateSigma-Aldrich1724769
Chemical compound, drugCopper sulphateSigma-AldrichC6283
Chemical compound, drugMalachite greenSigma-AldrichM9015
Chemical compound, drugL-glutamatic acidSigma-AldrichG1251
Chemical compound, drugL-glutamineSigma-AldrichG3126
Chemical compound, drugL-asparagineSigma-AldrichA4159
Chemical compound, drugL-aspartatic acidSigma-AldrichA9256
Chemical compound, drugAmmonium chlorideSigma-AldrichA9434
emical compound, drugBromo-pyruvateSigma-Aldrich16490
Chemical compound, drugMethionine sulfoximineSigma-AldrichM5379
Chemical compound, drugL-Alanine-(15N2)Cambridge Isotope LaboratoryNLM-454–1
Chemical compound, drugL-Asparagine-(15N2)Cambridge Isotope LaboratoryNLM-3286
Chemical compound, drugL-Asparagine-(amine-15N)Sigma-Aldrich489964
Chemical compound, drugL-Asparagine-(amide-15N)Cambridge Isotope LaboratoryNLM-120
Chemical compound, drugL-Aspartate-(15N)Sigma/Cambridge Isotope Laboratory332135/NLM-718
Chemical compound, drugL-Glutamine-(15N2)Cambridge Isotope LaboratoryNLM-31328
Chemical compound, drugL-Glutamine-(amine-15N)Sigma-Aldrich486809
Chemical compound, drugL-Glutamine-(amide-15N)Cambridge Isotope LaboratoryNLM-557
Chemical compound, drugL-Glutamate-(15N)Sigma/Cambridge Isotope Laboratory332143/NLM-135
Chemical compound, drugAmmonium chloride -(15N)Sigma-Aldrich299251
Chemical compound, drugAcetonitrileFisherA955-212
Chemical compound, drugMethanolFisherA456-212
Chemical compound, drugAcetic acidFluka45740–1 L-F
Sequence-based reagentRv0337c-fwIntegrated DNA Technologies5'-CACTCCGGTCCACTACCTGT-3'qPCR primer
Sequence-based reagentRv0337c-revIntegrated DNA Technologies5'- AGATCGACCATCTGGGTGAG-3'qPCR primer
Sequence-based reagentRv0858c-fwIntegrated DNA Technologies5'- ACGGCACGTACTTCCTATGC-3'qPCR primer
Sequence-based reagentRv0858c-revIntegrated DNA Technologies5'- GTTCCACACATCGGCTTGTT-3'qPCR primer
Sequence-based reagentRv1178-fwIntegrated DNA Technologies5'- ACGAGTGCTACCTGGGATTG-3'qPCR primer
Sequence-based reagentRv1178-revIntegrated DNA Technologies5'- AGTAGCTCGGCAACGATCTC-3'qPCR primer
Sequence-based reagentRv1538c-fwIntegrated DNA Technologies5'- ACTGGAGGGACAATCTCGAC-3'qPCR primer
Sequence-based reagentRv1538c-revIntegrated DNA Technologies5'- GAGTGATGACCACCCCATCT-3'qPCR primer
Sequence-based reagentRv2220-fwIntegrated DNA Technologies5'- GACAAGAGCGTGTTTGACGA-3'qPCR primer
Sequence-based reagentRv2220-revIntegrated DNA Technologies5'- GGGTCGTGCACAAAGAAGTT-3'qPCR primer
Sequence-based reagentRv2476c-fwIntegrated DNA Technologies5'- GTACAGCCTGCTCGACATCA-3'qPCR primer
Sequence-based reagentRv2476c-revIntegrated DNA Technologies5'- AGCGCACCGTAAATATCGTC-3'qPCR primer
Sequence-based reagentRv2780-fwIntegrated DNA Technologies5'- CTTACCACCTGATGCGAACC-3'qPCR primer
Sequence-based reagentRv2780-revIntegrated DNA Technologies5'- TAGGCCGATGAGTAGCGAGT-3'qPCR primer
Sequence-based reagentRv3565-fwIntegrated DNA Technologies5'- TCTACGTGATGGACGTCTGG-3'qPCR primer
Sequence-based reagentRv3565-revIntegrated DNA Technologies5'- CACCGAGTATCCCAACTGGT-3'qPCR primer
Sequence-based
reagent		Rv1221-fwIntegrated DNA Technologies5'- ACCATCACGACCTTGAGTCC-3'qPCR primer
Sequence-based reagentRv1221-revIntegrated DNA Technologies5'- AAAGGTCTCCTGGGTCAGGT-3'qPCR primer
Sequence-based reagentRv2703-fwIntegrated DNA Technologies5'- CCTACGCTACGTGGTGGATT-3'qPCR primer
Sequence-based reagentRv2703-revIntegrated DNA Technologies5'- TGGATTTCCAGCACCTTCTC-3'qPCR primer
OtherSpin-X centrifuge tube filter cellulose acetate 0.22 mMCostar8160
OtherMixed cellulose esters membrane, 0.22 mMMilliporeGSWP02500
OtherAcid washed glass beadsSigma-AldrichG1145

Strains and growth media

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M. tuberculosis H37Rv was used for growth and metabolic studies. Alanine dehydrogenase Rv2780 knockout, parent (M. tuberculosis H37Rv), and complemented strains were generated previously (Giffin et al., 2012). Liquid media used for M. tuberculosis growth: (a) commercially available Middlebrook 7H9 (Sigma UK) supplemented with (wt/vol) 0.05% tyloxapol, (wt/vol) 0.4% glycerol and albumin-dextrose-catalase (ADC) supplement (Sigma); (b) synthetic 7H9Nx (0.5 g/L sodium sulphate, 0.1 g/L sodium citrate, 1 mg/L pyridoxine hydrochloride, 0.5 mg/L biotin, 2.5 g/L sodium phosphate dibasic, 1.0 g/L monobasic potassium phosphate, 0.04 g/L ferric ammonium citrate, 0.05 g/L magnesium sulphate, 0.5 mg/L calcium chloride, 1 mg/L zinc sulphate, 1 mg/L copper sulphate, 0.4% glycerol, 0.05% tyloxapol, 10% ADC, pH to 6.6) and supplemented with nitrogen source of interest; (c) commercially available Middlebrook 7H10 (Sigma UK) supplemented with 0.5% glycerol and (vol/vol) oleic acid-albumin-dextrose-catalase (OADC) supplement; (d) synthetic 7H10Nx (sodium citrate 0.4 g/L, copper sulfate 1 mg/L, calcium chloride 0.5 mg/L, zinc sulphate 1 mg/L, magnesium sulphate 0.025 g/L, ferric ammonium citrate 0.04 g/L, malachite green 0.25 mg/L, biotin 0.5 mg/L, pyridoxine hydrochloride 1 mg/L, sodium sulfate 0.5 g/L, monopotassium phosphate 1.5 g/L, disodium phosphate 1.5 g/L, Agar 15 g/L, 0.5% glycerol) and supplemented with 10% OADC; and (e) synthetic 7H9Nx# (0.5 g/L sodium sulphate, 0.1 g/L sodium citrate, 1 mg/L pyridoxine, 0.5 mg/L biotin, 2.5 g/L sodium phosphate dibasic, 1.0 g/L monobasic potassium phosphate, 0.03 g/L ferric citrate, 0.05 g/L magnesium sulphate, 0.5 mg/L calcium chloride, 1 mg/L zinc sulphate, 1 mg/L copper sulphate, 0.4% glycerol, 0.05% tyloxapol, 10% ADC, pH to 6.6) and supplemented with nitrogen source of interest.

Metabolite extraction

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M. tuberculosis was grown in liquid media to mid logarithmic phase and then 1 ml of culture was transferred on 0.22 µm nitrocellulose filter (GSWP02500, Millipore) using vacuum filtration and placed on 7H10Nx agar plates. M. tuberculosis loaded filters were then grown at 37˚C for 5 days. On day 5, filters were transferred on chemically identical 15N 7H10Nx plates for isotopic labelling and metabolites were extracted with acetonitrile/methanol/dH2O 2:2:1 (v/v/v) at −40°C. Cells were then mechanically disrupted using a Fastprep ryboliser (QBiogene). Samples were centrifuged for 10 min 13,000 rpm at 4˚C, and the supernatant was recovered and filtered through 0.22 µm spin-X centrifuge tube filter (8160, Costar).

Liquid chromatography-mass spectrometry (LC-MS)

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A Cogent Diamond Hydride Type C column (MicroSolv) was used for normal phase chromatography on 1200 LC system (Agilent Technologies) coupled to an Accurate Mass 6220 TOF (Agilent Technologies) mass spectrometer fitted with an MultiMode ion source. Metabolite extracts were mixed with solvent A 1:1 and separated using mobile phase of solvent gradient A and B: 0–2 min, 85% B; 3–5 min, 80% B; 6–7 min, 75%; 8–9 min, 70% B; 10–11.1 min, 50% B; 11.1–14:10 min 20% B; 14:10-18:10 5% B; 18:10–19 85% B. Solvent A was acetonitrile with 0.2% acetic acid and solvent B was ddH2O with 0.2% acetic acid. Reference mass solution (G1969-85001, Agilent Technologies) was used for continuous mass axis calibration. Analytical amino acids standards (Fluka A9906) was used for retention time match. Ions were identified based on their accurate mass, retention time and spectral information, yielding errors below five ppm. Spectra were analysed using MassHunter Qualitative Analysis B.07.00 and MassHunter Profinder B.08.00 software. Statistical validation of samples/runs were performed using principal component analysis, using Mass Profiler Professional (B.07.01).

Extraction and analysis of RNA, and qPCR

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M. tuberculosis was pre-adapted in 7H9Nx medium for 3 days and then grown in identical medium. Cells were harvested at an OD600 between 0.8 and 1.0. RNA was extracted using Fast RNA Pro Blue kit according to manufacturer’s instructions. DNA was removed by treatment with 3 U RNase-free DNase using the TURBO DNA-free kit (Ambion) according to the manufacturer's instructions and cleaned following RNeasy Mini kit (Qiagen). The concentration of the RNA was determined using a NanoDrop One (Thermo) (Promega) spectrophotometer. Reverse transcriptase PCR was performed using SuperScript IV (Invitrogen), according to the manufacturer's instructions for cDNA synthesis. After cDNA synthesis, qPCR was carried out using the PowerUp SYBR Green Master Mix with ROX (Applied Biosystems) on a QuantStudio 7 Flex Real-Time PCR System. SigE (Rv1221) was used as an internal standard, and the ddCt method was used for the calculation of gene expression ratios. Error bars represent standard deviations from three biological replicates.

Data availability

Metabolomics data used on this study are available via Zenodo (DOI 10.5281/zenodo.2551162).

The following data sets were generated
    1. Agapova A
    2. Serafini A
    3. Petridis M
    4. Hunt DM
    5. Garza-Garcia A
    6. Sohaskey CD
    7. de Carvalho LPS
    (2019) Zenodo
    Metabolomics data from Flexible nitrogen utilisation by the metabolic generalist pathogen Mycobacterium tuberculosis.
    https://doi.org/10.5281/zenodo.2551162

References

    1. Senior PJ
    (1975)
    Regulation of nitrogen metabolism in Escherichia coli and klebsiella aerogenes: studies with the continuous-culture technique
    Journal of Bacteriology 123:407–418.
  31. Report
    1. WHO
    (2017)
    Global Tuberculosis Report
    Geneve, Switzerland: WHO.

Article and author information

Author details

  1. Aleksandra Agapova

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Formal analysis, Investigation, Methodology, Writing—original draft, Writing—review and editing
    Competing interests
    No competing interests declared

  2. Agnese Serafini

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Investigation, Writing—review and editing
    Competing interests
    No competing interests declared

  3. Michael Petridis

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  4. Debbie M Hunt

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Investigation
    Competing interests
    No competing interests declared

  5. Acely Garza-Garcia

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0307-0138

  6. Charles D Sohaskey

    Department of Veterans Affairs Medical Center, Long Beach, United States
    Contribution
    Resources, Writing—original draft
    Competing interests
    No competing interests declared

  7. Luiz Pedro Sório de Carvalho

    Mycobacterial Metabolism and Antibiotic Research Laboratory, The Francis Crick Institute, London, United Kingdom
    Contribution
    Conceptualization, Resources, Supervision, Funding acquisition, Methodology, Writing—original draft, Project administration, Writing—review and editing
    For correspondence
    luiz.carvalho@crick.ac.uk
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2875-4552

Funding

Wellcome (104785/B/14/Z)

  • Aleksandra Agapova
  • Agnese Serafini
  • Michael Petridis
  • Luiz Pedro Sório de Carvalho

Wellcome (Francis Crick Institute Core funding (10060))

  • Debbie M Hunt
  • Acely Garza-Garcia
  • Luiz Pedro Sório de Carvalho

Medical Research Council (Francis Crick Institute Core funding (10060))

  • Debbie M Hunt
  • Acely Garza-Garcia
  • Luiz Pedro Sório de Carvalho

Cancer Research UK (Francis Crick Institute Core funding (10060))

  • Debbie M Hunt
  • Acely Garza-Garcia
  • Luiz Pedro Sório de Carvalho

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Dr James McRae (TFCI) for critical reading of the manuscript. This work was primarily supported by a Wellcome Trust New Investigator Award (104785/B/14/Z) to LPSC. The LPSC lab is also funded by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001060), the UK Medical Research Council (FC001060), and the Wellcome Trust (FC001060).

Version history

  1. Received: August 15, 2018
  2. Accepted: January 22, 2019
  3. Accepted Manuscript published: January 31, 2019 (version 1)
  4. Version of Record published: February 4, 2019 (version 2)

Copyright

© 2019, Agapova et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Aleksandra Agapova
  2. Agnese Serafini
  3. Michael Petridis
  4. Debbie M Hunt
  5. Acely Garza-Garcia
  6. Charles D Sohaskey
  7. Luiz Pedro Sório de Carvalho
(2019)
Flexible nitrogen utilisation by the metabolic generalist pathogen Mycobacterium tuberculosis
eLife 8:e41129.
https://doi.org/10.7554/eLife.41129

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    Michael D Sacco, Lauren R Hammond ... Yu Chen
    Research Article Updated

    In the Firmicutes phylum, GpsB is a membrane associated protein that coordinates peptidoglycan synthesis with cell growth and division. Although GpsB has been studied in several bacteria, the structure, function, and interactome of Staphylococcus aureus GpsB is largely uncharacterized. To address this knowledge gap, we solved the crystal structure of the N-terminal domain of S. aureus GpsB, which adopts an atypical, asymmetric dimer, and demonstrates major conformational flexibility that can be mapped to a hinge region formed by a three-residue insertion exclusive to Staphylococci. When this three-residue insertion is excised, its thermal stability increases, and the mutant no longer produces a previously reported lethal phenotype when overexpressed in Bacillus subtilis. In S. aureus, we show that these hinge mutants are less functional and speculate that the conformational flexibility imparted by the hinge region may serve as a dynamic switch to fine-tune the function of the GpsB complex and/or to promote interaction with its various partners. Furthermore, we provide the first biochemical, biophysical, and crystallographic evidence that the N-terminal domain of GpsB binds not only PBP4, but also FtsZ, through a conserved recognition motif located on their C-termini, thus coupling peptidoglycan synthesis to cell division. Taken together, the unique structure of S. aureus GpsB and its direct interaction with FtsZ/PBP4 provide deeper insight into the central role of GpsB in S. aureus cell division.