Home Biology A pathogen-specific isotope tracing method reveals metabolic actions and fluxes of intracellular Salmonella

A pathogen-specific isotope tracing method reveals metabolic actions and fluxes of intracellular Salmonella

A pathogen-specific isotope tracing method reveals metabolic actions and fluxes of intracellular Salmonella

[ad_1]

Quotation: Mitosch Ok, Beyß M, Phapale P, Drotleff B, Nöh Ok, Alexandrov T, et al. (2023) A pathogen-specific isotope tracing method reveals metabolic actions and fluxes of intracellular Salmonella. PLoS Biol 21(8):
e3002198.

https://doi.org/10.1371/journal.pbio.3002198

Tutorial Editor: Sebastian E. Winter, UT Southwestern: The College of Texas Southwestern Medical Heart, UNITED STATES

Obtained: Could 10, 2023; Accepted: June 16, 2023; Revealed: August 18, 2023

Copyright: © 2023 Mitosch et al. That is an open entry article distributed below the phrases of the Inventive Commons Attribution License, which allows unrestricted use, distribution, and replica in any medium, supplied the unique creator and supply are credited.

Knowledge Availability: All related information are inside the paper and its Supporting Data recordsdata. Uncooked metabolomics recordsdata and information can be found from the MetaboLights repository (accession quantity MTBLS1275). The metabolic mannequin together with atom transitions, constraints, and labeling measurements used for the analyses is supplied as a supplementary file within the standardized FluxML doc format (S1 File). A repository containing all components to redo the info analysis of the metabolic flux is out there on zenodo: https://doi.org/10.5281/zenodo.8074792.

Funding: This work was supported by EMBL core funding (https://www.embl.de/). Ok.M. was supported by a fellowship from the EMBL Interdisciplinary Postdoc (EI3POD) program below the Marie Skłodowska-Curie Actions COFUND (grant quantity 664726) (https://marie-sklodowska-curie-actions.ec.europa.eu/actions/cofund). T.A. acknowledges funding from the ERC Consolidator Grant METACELL (773089) (https://erc.europa.eu) and BMBF grant CO-PROTECT (16GW0250) (https://www.bmbf.de). The funders had no function in research design, information assortment and evaluation, determination to publish, or preparation of the manuscript.

Competing pursuits: The authors have declared that no competing pursuits exist.

Abbreviations:
a.u.,
arbitrary unit; BMA,
Bayesian mannequin averaging; CFU,
colony-forming unit; EDP,
Entner–Doudoroff pathway; ESI,
electrospray ionization; glc,
glucose; hpi,
hours post-infection; LC-MS,
liquid chromatography-mass spectrometry; LPS,
lipopolysaccharide; MCMC,
Markov chain Monte Carlo; MFA,
metabolic flux evaluation; MID,
mass isotopomer distribution; MOI,
multiplicity of an infection; MS,
mass spectrometry; mtl,
mannitol; NMR,
nuclear magnetic resonance; PEP,
phosphoenolpyruvate; ppc,
phosphoenolpyruvate carboxylase; PPP,
pentose phosphate pathway; PSRF,
potential scale discount issue; PTS,
phosphotransferase sy; PVDF,
polyvinylidene difluoride; QC,
high quality management; SCV,
Salmonella-containing vacuole; STm,
Salmonella Typhimurium; TCA,
tricarboxylic acid; TFLE,
whole fractional labeling enrichment; U-13C,
uniformly labeled 13C; wt,
wild sort

Introduction

Intracellular bacterial pathogens, like Salmonella, have advanced elaborate mechanisms to adapt, survive, and replicate inside completely different niches inside host cells, which provide suboptimal progress circumstances [13]. Coming into into the host results in huge adjustments in bacterial gene and protein expression [4,5], exemplified by the secretion of dozens of effector proteins into the host cytoplasm [6]. On the identical time, micro organism should rapidly reprogram their metabolism to adapt to the brand new setting and the metabolites it presents, restricts, or lacks.

Measuring metabolic actions of intracellular micro organism has been a longstanding problem. In distinction to transcripts or proteins, which carry species id inside their sequence, most bacterial metabolites can’t be distinguished from these of the mammalian host, particularly throughout intracellular an infection when the two metabolic networks change into carefully intertwined. For Salmonella Typhimurium (STm), a facultative intracellular pathogen primarily replicating inside a Salmonella-containing vacuole (SCV), earlier research have approached this drawback not directly by inferring metabolic adjustments from transcriptomics [4] or proteomics [7] of remoted micro organism. Different research have used gene knockout mutants to find out important pathways for intracellular replication [79]. Whereas such oblique approaches present insights into the enzymatic pathways for intracellular progress, there may be room for misinterpretation. For instance, gene expression has been proven repeatedly to be a poor predictor of what cells want in a given situation [10,11]. Many metabolic enzymes and pathways are regulated on the stage of exercise moderately than that of expression [12]. Furthermore, gene mutants could abolish intracellular progress for different causes past lacking metabolic exercise, reminiscent of the buildup of poisonous intermediates [13] or resulting from moonlighting features of enzymes [14]. Thus, though highly effective, genetic or gene expression approaches don’t straight measure the metabolic actions of the pathogen.

To disentangle metabolic community actions and to quantitatively infer intracellular metabolic response charges (fluxes) in dwelling cells, secure isotope labeling methods mixed with mass spectrometry (MS) or nuclear magnetic resonance (NMR) and metabolic modeling are the definitive strategies [15,16]. Nonetheless, separating intracellular metabolites in host–pathogen methods, and certainly in any compartmentalized methods reminiscent of eukaryotes [17,18], crops [19], or microbial communities [20], stays an analytical barrier, usually turning out to be a showstopper for deciphering isotope labeling information. A number of makes an attempt have been made to work round this limitation: Labeling methods have been designed and tailor-made to the precise query at hand. For instance, Lewis and colleagues used twin 13C/deuterium tracing to resolve compartmentalized NADPH metabolism in mammalian cells [21], and Borah and colleagues mixed a number of 15N labeling experiments to make clear the nitrogen metabolism in intracellular Mycobacterium tuberculosis [22]. Extra usually, reporter proteins or peptides have been utilized in union with computational deconvolution to derive species-specific labeling patterns of amino acids [2325]. Extra not too long ago, secure isotope tracing in community-scale mass spectrometry evaluation has been used to deduce intra- in addition to inter-species metabolite change [26].

In direction of estimating metabolic actions in intracellular Salmonella, Götz and colleagues [27] provided 13C-labeled glucose to contaminated epithelial colorectal adenocarcinoma cells (Caco-2) and decided labeling patterns of amino acids from remoted micro organism and host cells. But, glucose is utilized by each pathogen and host, resulting in fast “scrambling” of the labels throughout the two metabolic networks. Consequently, with out further experiments, such nonspecific labeling approaches can’t distinguish whether or not STm meets its demand for a selected amino acid by de novo manufacturing or via sequestration from the host. Xu and colleagues utilized a reverse labeling method, through which they pre-labeled Salmonella with deuterium to detect its dilution after an infection in teams of metabolites by single-cell Raman spectroscopy. Thereby, they uncovered variations in intracellular lipid metabolism amongst Salmonella strains [28]. This method is, nevertheless, restricted to (i) metabolites that may be detected by Raman spectroscopy; and (ii) a brief time-window because the rising cells will quickly dilute the label.

To our information, no bacterial-specific metabolic labeling method has been described for intracellular an infection earlier than. Right here, we current a stable-isotope tracing method to particularly label and straight measure the metabolites of intracellularly rising STm. The method is predicated on the lack of mammalian host cells—in distinction to STm—to metabolize the sugar alcohol mannitol. Utilizing liquid chromatography–mass spectrometry (LC–MS), we quantified 13C-labeling patterns in numerous bacterial pathways throughout progress in 2 eukaryotic host cell strains. Tracing the breakdown of the 13C label all through the metabolic pathways allowed us to determine metabolites which might be de novo synthesized. Metabolic modeling and 13C metabolic flux evaluation (13C MFA) had been then used to unlock the identification of related carbon sources (moreover mannitol) that enter Salmonella, delineate the routes of their metabolization, and estimate the key metabolic fluxes throughout an infection, thereby offering hitherto unknown particulars of the intracellular Salmonella metabolism.

Outcomes

Mannitol is metabolized solely by intracellular STm, not the host

To particularly label intracellular STm micro organism post-invasion of host cells, we looked for a carbon supply that will (i) enter host cells, however not be utilized by them; (ii) be accessible and utilized by intracellularly rising micro organism; and (iii) minimally impair the native host and bacterial metabolism. STm can develop on a extra various array of carbon sources [29] than mammalian cells [30,31]. Guided by the research by Steeb and colleagues [7] on nutrient availabilities for STm in a mouse an infection mannequin, we examined whether or not mannitol meets the above 3 necessities (Fig 1A).

thumbnail

Fig 1. Mannitol is just not metabolized by host cells, however internalized and utilized by intracellular STm.

(A) Experimental idea: Can 13C-labeled mannitol, provided to contaminated host cells, traverse throughout mammalian cell membranes with out degradation and be taken up by intracellular STm (yellow)? (B) Fractional 13C enrichment of hexose-phosphates and alanine from RAW264.7 cells, decided 48 h after the addition of U-13C mannitol (mtl) or U-13C glucose (glc) into the glucose-containing cell tradition medium (DMEM with 1 g/L glucose, Strategies). 13C from labeled glucose is integrated (labeled fraction current), however not from mannitol (no labeled fraction current). Graphs present averages from organic triplicates. (C) Mannitol metabolism in STm: Mannitol enters and is phosphorylated by way of MtlA; mannitol 1P (poisonous when accumulating) is oxidized by MtlD to fructose 6P, the place it enters glycolysis. The uptake and metabolization of mannitol are topic to glucose repression by way of the dephosphorylated phosphocarrier protein HPr, which reinforces the exercise of the repressor MtlR [32]. (D) Progress yield of STm wild sort (wt), ∆mtlA, and ∆mtlD, in MOPS medium with amino acids (Strategies), and with mixtures of glucose (glc), glycerol (glyc), and mannitol (mtl), as the primary carbon sources. Bars depict the averages of technical duplicates and information are consultant of two impartial experiments. (E) Intracellular STm wt and ∆mtlD remoted from RAW264.7 macrophages 20 hpi in a gentamicin safety assay (MOI = 100) supplemented +/− mannitol (mtl), after which serially diluted and noticed on an LB agar plate. The picture is consultant of two impartial experiments in organic triplicates. The information underlying this determine might be present in S1 Knowledge. glc, glucose; MOI, multiplicity of an infection; STm, Salmonella Typhimurium.


https://doi.org/10.1371/journal.pbio.3002198.g001

To check the power of host cells to metabolize mannitol, we supplemented 2 mammalian cell strains with both uniformly labeled 13C mannitol (henceforth: U-13C mannitol) or, as a management, uniformly labeled 13C glucose (henceforth: U-13C glucose) of their already glucose-containing cell tradition medium (DMEM, Strategies). We incubated the cells for 48 h to seize any incorporation of labeled mannitol throughout or after glucose consumption. The two cell strains, murine RAW264.7 macrophages, and human epithelial HeLa cells had been chosen primarily based on their organic relevance, and the distinct life cycles they permit for STm [33,34]. Isotope tracing utilizing LC–MS for hexose-phosphates and alanine confirmed the anticipated incorporation of 13C-label from U-13C glucose, however no assimilation of U-13C mannitol (Figs 1B and S1A), in line with previous observations that mammalian cells usually are not capable of metabolize mannitol [31].

STm, in distinction, has been recognized to effectively metabolize mannitol, which is internalized and phosphorylated by the precise phosphotransferase (PTS) MtlA, and oxidized to fructose 6P by the mannitol 1-phosphate-5-dehydrogenase, MtlD, in a reversible response (Fig 1C) [35,36]. In Escherichia coli (amino acid sequence similarities with STm: MtlA: 95%, MtlD: 93%, MtlR: 91% [37,38]), the expression of mtlA and mtlD is managed by the transcriptional repressor MtlR. MtlR exercise is enhanced by interplay with the dephosphorylated phosphocarrier protein HPr, which accumulates throughout glucose transport [32]. Mannitol is thereby topic to catabolite repression: glucose inhibits the uptake of mannitol [39]. As in E. coli, the buildup of the intermediate mannitol 1P in an mtlD knockout mutant is poisonous for STm [40].

Whereas mannitol is metabolized effectively in bacterial monocultures rising on mannitol as the primary carbon supply, it’s but unclear whether or not mannitol is out there and brought up by STm when rising intracellularly. To deal with this, we probed whether or not we might exploit the mannitol sensitivity of an mtlD knockout pressure. In STm monocultures of the wild sort (wt), ΔmtlA, or ΔmtlD (in MOPS medium with no host cells current), each ΔmtlA and ΔmtlD grew poorly on mannitol as the primary carbon supply (residual progress of ΔmtlA is because of amino acids current within the progress medium) (Figs 1D and S1C). In distinction, solely ΔmtlD did not develop on mannitol and glycerol (a non-repressive carbon supply), confirming its excessive mannitol sensitivity (Figs 1D and S1C). This sensitivity was largely masked when mannitol was mixed with glucose or glucose 6P (Figs 1D and S1B and S1C), as anticipated from glucose repression, and according to earlier experiments [39].

We then used the mtlD knockout mutant alongside the wt in an in vitro an infection setup (gentamicin safety assay, see Strategies) of RAW264.7 (Fig 1E) or HeLa cells (S1E Fig). We contaminated mammalian cells with a multiplicity of an infection (MOI) of 100, handled them +/− mannitol, and remoted and counted micro organism at 20 h post-infection (hpi). Mannitol diminished the variety of ∆mtlD micro organism by 3 orders of magnitude in RAW264.7 cells (Fig 1E) and by greater than 1 order of magnitude in HeLa cells (S1E Fig). Therefore, mannitol is metabolized by intracellular STm, regardless of the presence of glucose within the progress medium. Glucose repression is subsequently not absolutely energetic in these circumstances, presumably resulting from low intracellular glucose ranges within the host cells.

To evaluate whether or not mannitol alters bacterial physiology in comparison with glucose, which is an important nutrient throughout intracellular STm progress [41], we first measured the expansion charge of STm within the 2 carbon sources, which was indistinguishable (S1F Fig). Secondly, we quantified metabolite ranges of STm monocultures rising within the 2 carbon sources and didn’t discover vital adjustments for any of the 67 intracellular metabolites quantified, apart from mannitol 1P (S1G Fig). Therefore, mannitol and glucose end in very comparable physiology for STm. To evaluate if mannitol impacts STm physiology when STm is rising intracellularly within the host, we examined whether or not mannitol would forestall the uptake of different carbon sources into STm throughout intracellular an infection, which might enormously skew the intracellular STm metabolism. Utilizing a glpD knockout mutant that grows worse when glycerol is taken up into STm together with a non-repressive carbon supply (“sugar-phosphate toxicity” [42], S1D Fig), we confirmed that this glycerol-induced progress defect was not suppressed throughout intracellular infections by mannitol (S1H Fig), which is a repressive carbon supply in batch tradition (S1D Fig). General, we concluded that the presence of mannitol has a really comparable impact on the intracellular STm metabolism as glucose, and it doesn’t repress the uptake of different carbon sources intracellularly.

To additional study the impact of mannitol on host cells, we in contrast intracellular metabolite ranges in RAW264.7 and HeLa cells, with or with out the addition of mannitol for 12 h. Not one of the quantified metabolites had been greater than 2-fold completely different between the two circumstances (adjusted p-value <0.05), apart from mannitol and mannitol 1P (S1I and S1J Fig), with the latter being seemingly produced by a nonspecific mammalian enzyme. Thus, we thought-about mannitol an acceptable carbon supply to probe bacterial intracellular metabolism: It traverses throughout mammalian host cells and reaches the intracellular compartments the place STm resides throughout an infection with out confounding the native metabolism.

Incorporation of 13C into STm metabolism might be robustly quantified

Since bacterial cells comprised solely roughly 2.3% of the overall mobile materials (host cells and micro organism, S2A Fig), quantification of the unlabeled fraction of bacterial metabolites is basically contaminated by their host counterparts. To reliably analyze bacterial labeling patterns, we, subsequently, wanted to separate the micro organism from the host. After host cell lysis, we filtered the bacteria-containing cell lysate via a 5 μm filter, via which micro organism ought to go, however most host cell organelles not [43] (Fig 2A), and remoted, washed, and concentrated the micro organism within the flow-through by a two-step fast centrifugation. Thereby bacterial proteins had been enriched by an element of fifty (S2B Fig), and mitochondrial proteins by an element of three, whereas host nuclear, cytosolic, and ER proteins had been depleted by an element of >5 in RAW264.7 cells (S2B Fig). Enrichment of STm from HeLa cells was much less pronounced, however the depletion of host proteins was at the least as efficient (S2C Fig). We concluded that this experimental step supplied a fast technique to enrich for micro organism.

thumbnail

Fig 2. Bacterial isolation and optimum sampling time level enable the sturdy quantification of bacterial 13C labeling.

(A) Bacterial isolation protocol: Contaminated host cells had been lysed by the addition of ice-cold Triton X-100 in 0.9% NaCl, scraped from the cell tradition plates, and the lysate was filtered via a 5 μm filter on ice; micro organism had been washed and concentrated by centrifugation. (B) Metabolite peak areas (a.u.) for 50 metabolites from a pattern after the bacterial isolation protocol (x-axis), in comparison with the management the place RAW264.7 cells had been contaminated with heat-inactivated, non-replicating STm, processed in the identical manner (y-axis). Each samples had been from 12 hpi with MOI 100. The black line signifies equal peak areas within the pattern and management; the pink dashed line signifies 2-fold peak areas within the pattern versus management. For many metabolites, the pattern has a >2-fold sign over the management. Knowledge are consultant of two impartial experiments. (C) STm CFUs throughout an infection of RAW264.7 macrophages for STm wt and ΔmtlD in a mannitol-containing medium. The arrow exhibits the chosen 12 hpi time level for metabolomics sampling. Strains depict the typical of organic triplicates. (D) TFLE in contrast between 12 hpi and 16 hpi of RAW264.7 macrophages for 30 metabolites from 1 experiment (imply from organic duplicates). The information underlying this determine might be present in S1 Knowledge. a.u., arbitrary unit; CFU, colony-forming unit; hpi, hours post-infection; MOI, multiplicity of an infection; STm, Salmonella Typhimurium; TFLE, whole fractional labeling enrichment.


https://doi.org/10.1371/journal.pbio.3002198.g002

As host cell organelles, particularly mitochondria, couldn’t be eliminated utterly (S2B Fig), we quantified whether or not host cell metabolites would considerably contaminate our sign by evaluating metabolite ranges between contaminated and mock-infected (heat-inactivated STm) RAW264.7 cells after our isolation protocol. RAW264.7 cells nonetheless react to heat-inactivated micro organism and present phenotypic similarities to cells contaminated with stay micro organism [44]. Nonetheless, heat-inactivated micro organism are useless and are cleared by the host. Therefore, any metabolites extracted from this mock-infected management utilizing our isolation protocol replicate contamination by the host cells. The large majority of the 50 quantified metabolites (90%) had at the least 2-fold greater ranges in cells contaminated with stay micro organism (Fig 2B). The one metabolites with equally excessive ranges within the management had been mannitol, taurine, and itaconate: Mannitol is current at excessive ranges within the cell tradition medium, taurine is ubiquitous in cells [45], and itaconate is produced by macrophages stimulated by lipopolysaccharide (LPS) [46]. For all metabolites for which we quantified and interpreted the fractional 13C enrichment in subsequent experiments (S1 Desk), the contaminating fraction from host cells accounts for at most 20% (S2D Fig). Therefore, host contamination doesn’t play a serious function within the metabolites we quantify.

Our enrichment protocol for micro organism throughout an infection (Fig 2A) is efficient, however it takes roughly 20 min. Throughout this time, metabolic labeling patterns could change—e.g., due to the activation of some metabolic pathways. To evaluate the impression of our isolation protocol on labeling patterns, we used bacterial monocultures grown in MOPS medium on 50% U-13C mannitol and in contrast our established isolation protocol (“normal protocol”) to a filtering isolation protocol (“quick protocol,” roughly 3 min, Strategies). In case the labeling varies considerably between the two protocols, information for such a metabolite should be interpreted with care as its labeling enrichment is probably going affected by the time-delay of the isolation process. We discovered the fractional 13C enrichment to be comparatively secure (S2E Fig): Out of 38 quantified metabolites, solely 8 (associated to decrease glycolysis and the tricarboxylic acid (TCA) cycle) confirmed considerably decrease whole fractional labeling enrichment (“TFLE” = 1 –unlabeled fraction) within the quick protocol, implying that extra label was integrated into these metabolites in the usual protocol. In distinction, metabolites from higher glycolysis, the pentose phosphate pathway (PPP), amino acids, nucleotide, glutathione, and vitality metabolism had extremely conserved TFLEs (S2E Fig). As well as, the dominating mass hint (moreover M+0) remained the identical, even in metabolites with considerably completely different TFLE (examples in S2F Fig). Among the many noticed metabolites, solely fumarate confirmed a really distinct sample in comparison with the quick isolation protocol (S2G Fig). Subsequently, we solely used these 8 metabolites for qualitative information interpretations additional on, and never as inputs to the quantitative 13C flux modeling. General, our protocol permits for isolation of micro organism from a lysate of contaminated host cells, whereas the fractional 13C enrichment stays secure for many metabolites. The excessive stage of purity (Fig 2B) enabled us to analytically decide and interpret the precise fractional 13C enrichment of many bacterial metabolites, largely unbiased by the unlabeled host metabolites.

Optimized sampling time permits model-assisted information interpretation

To permit a model-assisted interpretation of the rising advanced labeling patterns within the host–pathogen co-metabolism, we wanted to seek out an optimum sampling time supporting metabolic and isotopic regular state. Metabolic steady-state circumstances are, nevertheless, unimaginable below cell tradition an infection circumstances, as nutrient ranges change and heterogeneity of intracellular STm is properly established [47,48]. To method a pseudo-steady-state setting, which is widespread in adherent cell tradition labeling research [49], we used circumstances through which extracellular vitamins had been plentiful, and their concentrations modified comparatively slowly. By following the an infection of host cells with wt STm for 20 h, we decided a window between 8 and 14 h through which the bacterial cell numbers elevated roughly exponentially in each RAW264.7 and HeLa cells (Figs 2C and S2H). Cell numbers of the ΔmtlD mutant decreased at our first sampling time level, 8 hpi, indicating that mannitol reached the intracellular micro organism early throughout the an infection (Fig 2C). Monitoring absolute nutrient concentrations within the mammalian cell tradition medium of RAW264.7 cells indicated that every one vitamins had been depleted slowly, apart from glucose, which was used up at 12 hpi. In distinction, for HeLa cells, all vitamins together with glucose had been depleted slower (S2I Fig). Thus, we selected the 12 hpi for sampling each cell strains, controlling that there was nonetheless glucose current within the RAW264.7 cell cultures on the finish of the experiment.

We then checked whether or not and when the labeling enrichments of intracellular STm metabolites are near their isotopic regular states below the studied an infection circumstances. An roughly equilibrated isotopic labeling state permits the interpretation of isotopologues with out the information of metabolite concentrations. To establish approximate isotopic stationarity—whereby adjustments within the fractional isotope incorporation within the quantified metabolites are sufficiently low to permit estimating fluxes—we in contrast the labeled fraction at a later time level (16 hpi) with that of the 12 hpi: Most metabolites had extremely comparable TFLEs (Fig 2D) and correlated fractional 13C enrichments (r = 0.997) (S2J Fig). This confirms a metabolic and isotopic pseudo-stationarity at 12 hpi. As our methodology can’t seize subpopulations, recognized to be current throughout STm replication in macrophages [47,48], the selection of the comparatively late 12 hpi time level will increase the possibility that the info characterize the metabolic state of actively replicating STm.

Isotope labeling reveals energetic STm pathways and flux directionalities throughout an infection

To determine metabolic pathways which might be actively used throughout an infection, we remoted STm at 12 hpi (normal isolation protocol) from RAW264.7 macrophages and HeLa cells (cultivated in the identical host cell medium) and decided the TFLEs of 25 confidently detected bacterial metabolites (see Strategies, S1 Desk) throughout a number of metabolic pathways: central carbon metabolism together with the TCA cycle, glutathione, and nucleotide metabolism, NAD metabolism, metabolism of 1 non-proteinogenic, and seven proteinogenic amino acids, and cell wall/LPS biosynthesis (Fig 3A). Because the host cells can’t degrade mannitol (Figs 1B and S1A), all labeled metabolites had been produced de novo by intracellular micro organism. The quantified fractional labeling enrichment from these 25 metabolites was extremely reproducible between organic replicates (r = 0.98; S3A Fig). The TFLE ranged from 0% (isoleucine, proline, hypoxanthine, guanine) as much as 60% (glucose 6P/fructose 6P, mannitol 1P, UDP-glucose) (Fig 3A), which means that STm takes up different unlabeled carbon sources along with mannitol. General, the identical metabolites had been labeled in RAW264.7 and HeLa cells, with HeLa cells displaying general much less labeling (S3B Fig), according to the much less pronounced mannitol metabolism of intracellular STm in HeLa cells (see Figs 1E and S1E). Valine and succinate have particularly excessive labeling in RAW 264.7 cells. Succinate has not too long ago been proven to build up in host cells throughout intracellular STm an infection and to advertise virulence in STm [50]. Nitric oxide stress in macrophages, however not in HeLa cells [51], is thought to activate valine biosynthesis in STm [52], explaining the upper fractional enrichment of valine in RAW264.7 cells. General, the energetic pathways overlapped with these beforehand recognized by mutant research as related for STm intracellular replication. Particularly, mutants in glycolysis [41], nucleotide biosynthesis [9], and cell wall biosynthesis [8] are recognized to be strongly defected in macrophages. Alternatively, the de novo manufacturing of glutathione and citrulline has not been beforehand described below an infection circumstances.

thumbnail

Fig 3. Bacterial metabolite labeling from U-13C mannitol.

(A) Whole fractional labeling enrichment (“TFLE” = 1 –unlabeled fraction) of various bacterial metabolites remoted from RAW264.7 cells at 12 hpi with MOI 100. Bars present averages of organic triplicates. CCM: central carbon metabolism, GSH: diminished glutathione; GSSG: oxidized glutathione. (B) Fractional 13C enrichment (lengthy axis of bars, “Ratio”) of glycolytic bacterial metabolites remoted from the identical experiment as (A) for the completely different isotopologues (M+0, M+1, M+2, …). U-13C mannitol (mtl) on the highest proper of the plot is the supply for all labels within the isotopologues with greater plenty (M+1, M+2, …). Dashed arrows depict lumped reactions. Notice that glucose (glc) 6P and fructose (fru) 6P are indistinguishable by our evaluation. Knowledge are corrected for the pure 13C abundance and the 12C isotopic impurity of U-13C mtl and depict the typical of organic triplicates; in (A) and (B) metabolites quantitatively affected by the enrichment protocol (S2E Fig) are denoted with *. The information underlying this determine might be present in S1 Knowledge. DHAP, dihydroxyacetone phosphate; ED, Entner–Doudoroff; FBP, fructose 1,6 bisphosphate; G3P, glyceraldehyde 3P; hpi, hours post-infection; LPS, lipopolysaccharide; MOI, multiplicity of an infection; mtl, mannitol; PEP, phosphoenolpyruvate; PP, pentose phosphate; TFLE, whole fractional labeling enrichment.


https://doi.org/10.1371/journal.pbio.3002198.g003

To refine our insights into metabolic actions, we decided the proportion of the overall metabolite pool for every particular metabolite that’s unlabeled (M+0), has 1 heavy (13C) carbon atom (M+1), 2 (M+2), 3 (M+3), and so forth, specializing in STm remoted from RAW264.7 cells. Though the mass isotopomer distributions (MIDs) can be found, there is no such thing as a positional labeling data. To precisely interpret MIDs, not solely the online flux (i.e., the distinction between the ahead and backward flux of a response), but in addition the simultaneous motion of ahead and backward fluxes must be thought-about [53]. That is exemplified by the labeling sample of mannitol 1P (Fig 3B): mannitol 1P has an M+6 hint, but in addition a robust M+0 and M+3 hint, much like glucose 6P/fructose 6P. Right here, it’s apparent that MtlD should change isotopes, harmonizing the MIDs of mannitol 1P and glucose 6P/fructose6P. This backward operation of MtlD within the acidic vacuole is according to earlier in vitro experiments which have proven that the backward response is extremely energetic below acidic circumstances [36]. Response bidirectionality might be resulting from a bidirectional enzyme (reminiscent of MtlD) or because of the reverse exercise of two unidirectional enzymes (e.g., 6-phosphofructokinase (PfkA/B) for the ahead and fructose-bisphosphatase (Fbp) for the backward response). Equally, the shocking M+3 labeling in glucose 6P/fructose 6P (Fig 3B), coming from solely absolutely labeled mannitol or unlabeled carbon sources as direct substrates, might be interpreted in numerous methods. A method is that absolutely labeled C6 our bodies (from mannitol) and unlabeled C6 our bodies (e.g., from glucose 6P) make their manner via glycolysis till the C6 our bodies are cut up into 2 C3 our bodies (glyceraldehyde 3P and dihydroxyacetone phosphate), that are then mixed and metabolized gluconeogenetically to kind the noticed labeling sample in fructose 6P. Alternatively, the M+3 labeling in glucose 6P/fructose 6P may additionally be derived by contributions from the Entner–Doudoroff pathway (EDP) or the PPP (Fig 3B). To discern between the completely different theoretical potentialities, we determined to make use of the model-based method of 13C metabolic flux evaluation (MFA) [15,54].

Bayesian modeling reveals that backward glycolysis and the Entner–Doudoroff pathway are energetic, independently of glucose availability

To deduce nutrient uptake and intracellular fluxes, we formulated a response community of the central carbon metabolism of STm consisting of glycolysis (Embden–Meyerhof–Parnas pathway), PPP, EDP, TCA cycle, anaplerosis, nucleotide biosynthesis (together with NADH biosynthesis), in addition to the synthesis of particular amino acids and the nucleotide sugar UDP-N-acetylglucosamine (S4 Fig). Along with the mannitol uptake step, uptake reactions for different potential substrates had been included (e.g., sugars, nucleobases, amino acids; Strategies). For the evaluation of MIDs, we pruned the mannequin by excluding pathways downstream of pyruvate resulting from quantitative unreliability within the labeling patterns of TCA metabolites (S2E Fig and Strategies). In comparison with the traditional 13C-MFA setting [53], the various potential carbon entry factors (in whole 18) characterize a problem for flux inference. We, subsequently, used Bayesian mannequin averaging (BMA)-based 13C-MFA, a rigorous statistical multi-model method, which is suited to take care of closely underdetermined methods [55]. Because of this, BMA-based 13C-MFA gives the joint internet flux posterior chances for all intracellular and uptake reactions, together with their credible intervals, and, thereby, the dominating response instructions for all reactions (S2 Desk). This enabled us to determine which of the potential carbon sources are seemingly metabolized: If the 95% credible intervals of the uptake fluxes exclude the zero worth, we concluded that the respective metabolite is taken up by STm.

Our BMA-based 13C-MFA revealed that moreover mannitol, the primary carbon sources taken up by STm when inside macrophages are gluconate, glycerol, ribose, and glucose/glucose 6P (Figs 4 and S5A). Out of those, solely glucose and mannitol are a part of the medium (Strategies). The remaining ought to thus come from the host. The uptake and co-utilization of the assorted sugars are according to earlier experiences [4,7,41]. Particularly, gluconate was detected contained in the host cells, in line with its availability to STm (S3 Knowledge). Apparently, from glycerol and mannitol, the primary carbon circulate is upwards, and along with gluconate, is directed in direction of the EDP, earlier than coming into decrease glycolysis and downstream metabolic pathways. The EDP is another glycolytic pathway that, whereas supplying much less vitality, comes at decrease prices when it comes to the enzymes wanted [56], and is energetic below chemostat circumstances at gradual progress charges [57]. Our information show that the EDP turns into the key glycolytic pathway throughout STm intracellular progress, in accordance with prior gene expression measurements throughout STm an infection [4,58].

thumbnail

Fig 4. Summarized flux map for the intracellular STm metabolism inferred by BMA-based 13C-MFA.

Web flux 95% credible intervals (in hexagons) had been estimated from labeling information (low glucose situation), the place the thickness of the arrow signifies the anticipated worth (see additionally S5A Fig). Values are given relative to the expansion charge (μ). Arrowheads denote the dominating response route. Grey labels/arrows depict nutrient uptakes. Glc, glucose; Glc6P, glucose 6 phosphate; Glcn, gluconate; Glyc, glycerol; Pyr, pyruvate; Ru5P, ribulose 5P; R5P, ribose 5P; Xu5P, xylulose 5P; S7P, sedoheptulose 7P; E4P, erythrose 4P; Rib, ribose; Ura, uracil; Cyto, cytosine; Gua, guanine; Ade, adenine; amino acids with normal 3-letter abbreviations. A visible illustration of the entire mannequin used for the evaluation is in S4 Fig; the formal specification of the 13C metabolic mannequin is discovered within the S1 File. The information underlying this determine might be present in S1 Knowledge. BMA, Bayesian mannequin averaging; MFA, metabolic flux evaluation; STm, Salmonella Typhimurium.


https://doi.org/10.1371/journal.pbio.3002198.g004

Having the flux map at hand, we traced the origin of the M+3 isotopologue in glucose 6P/fructose 6P. The backward route of the higher glycolysis (from glyceraldehyde 3P to fructose 1,6-bisphosphate to fructose 6P and glucose 6P) is certainly the first metabolic route (Fig 4 and S2 Desk). Nonetheless, there may be inadequate proof that the glycolytic ahead route is concurrently energetic (likelihood for the ahead route being roughly 40%) (S2 Desk). Because the talA/B flux (non-oxidative PPP) could be very low, the M+3 isotopologue of glucose 6P/fructose 6P is generally generated via the EDP and backward glycolysis.

Metabolism could be very delicate to extracellular circumstances [49]. To establish that our evaluation gives related insights for an infection circumstances, we generated one other information set with a barely completely different nutrient enter: Preserving all different concentrations the identical, we elevated the (unlabeled) glucose focus within the host cell medium leading to an roughly 3-fold improve at 12 hpi (S5B Fig). The upper glucose focus led to a decrease fractional 13C enrichment general (S5C Fig), as anticipated from the smaller proportion of labeled (U-13C mannitol) carbon supply current, however MIDs had been general very comparable (S4 Knowledge). We then analyzed the labeling information set for the upper glucose focus utilizing the identical mannequin as earlier than and BMA-based 13C-MFA. Regardless of the differing glucose concentrations within the host nutrient composition, the online fluxes relative to the expansion charge of the pathogen had been similar to our earlier experiment with the decrease glucose focus (S5A Fig). Minor variations within the flux maps had been a relative lower within the uptake of mannitol and elevated uptakes of glucose/glucose 6P and ribose, accompanied by an elevated flux in direction of the oxidative PPP.

General, our labeling information along with the network-based quantitative evaluation revealed the key energetic pathways, reminiscent of EDP, glycolysis working within the backward route, and the uptakes of gluconate, glycerol, ribose, and glucose/glucose 6P. Importantly, these findings had been constant between the two media circumstances, corroborating our method, and suggesting that intracellular STm proves to be comparatively insensitive to small adjustments within the host milieu (when it comes to internet fluxes relative to the precise progress charge).

Intracellular STm produces the ribose a part of nucleotides de novo, whereas it takes up nucleobases from the host

The BMA-based 13C-MFA mannequin additionally enabled us to disentangle which proportion of a selected metabolite stems from assimilated carbon and which proportion is synthesized de novo. This query is especially fascinating for nucleotide biosynthesis, which is important for intracellular STm [8,9]. The precursors for nucleotides are ribose 5P and the nucleobases, that are produced by bicarbonate, glycine, and formate for purines and bicarbonate and aspartate for pyrimidines (Fig 5A and 5B). We discovered that ribose 5P solely partly derived from assimilated ribose, whereas the bulk (roughly 60% of the overall) was synthesized de novo. De novo synthesis happens by way of 2 routes, the forward-directed oxidative PPP (primary route) and the reductive PPP working in reverse route by way of transketolase TktA2/B2 and Rpe (Figs 4 and S4). In distinction, the nucleobases are largely assimilated by STm: for uracil there may be nonetheless partial synthesis, whereas for adenine and guanine, practically no de novo biosynthesis happens (Fig 4).

thumbnail

Fig 5. Purines and pyrimidines have solely their ribose unit labeled.

(A) Purine base construction and origin of C-atoms. The 13C-labeled C-atoms theoretically stem from formate, glycine, bicarbonate, or the ribose unit by way of the PPP. (B) Pyrimidine base construction and origin of C-atoms. The 13C-labeled C-atoms theoretically stem from aspartate, bicarbonate, and the ribose unit by way of the PPP. (C, D) Fractional 13C enrichment of AMP and UMP (nucleotides, with the ribose items) in micro organism remoted from RAW264.7 macrophages. Bars are averages of organic triplicates. Knowledge are corrected for the pure 13C abundance and the 12C isotopic impurity of the absolutely labeled 13C mannitol. (E, F) Fractional 13C enrichment of adenine and uracil (with out the ribose items) in bacterial RNA remoted from RAW264.7 macrophages. Bars are averages of organic duplicates. The information underlying this determine might be present in S1 Knowledge. PPP, pentose phosphate pathway; TFLE, whole fractional labeling enrichment.


https://doi.org/10.1371/journal.pbio.3002198.g005

To independently validate this outcome, we remoted bacterial RNA at 20 hpi and hydrolyzed it to acquire nucleobases (Strategies). We measured the fractional 13C enrichment by LC–MS and in contrast it to ribonucleotide swimming pools (Fig 5C–5F). Whereas the ribonucleotides confirmed distinct and constant labeling sample in M+2, M+3, and M+5 (Figs 5C and 5D and S6), the nucleobases alone had been minimally labeled (Fig 5E and 5F), confirming the modeling. At this level, we can’t distinguish whether or not nucleobases are solely taken up from the host or whether or not they’re additionally partially assembled from unlabeled precursors (e.g., orotate for pyrimidines).

Phosphoenolpyruvate carboxylase is vital throughout intracellular an infection

As our bacterial isolation protocol quantitatively impacts the MIDs of TCA cycle metabolites (S2E Fig), this didn’t enable for a model-based quantitative evaluation of the TCA. Nonetheless, we might derive qualitative hypotheses in regards to the (in)exercise of some TCA/anaplerotic reactions (S1 Desk). Strikingly, some labeling patterns in successive steps of the TCA cycle had been discordant (Fig 6A). For instance, glutamate had a pronounced M+2 hint, which seemingly originated from acetyl-CoA produced by the pyruvate dehydrogenase advanced (Fig 6B). In distinction, aspartate and malate (and to some extent additionally succinate, S7A Fig) had a pronounced M+3 hint (Fig 6A). An M+3 labeling in malate and aspartate might in precept be generated by additional rounds of a totally working TCA cycle by combining an M+2 labeled oxaloacetate with an M+2 labeled acetyl-CoA (Fig 6B). Nonetheless, as pyruvate is just labeled at 20% to 30% (Fig 3B), the possibility to get such M+3 or M+4 labeling is low and consequently is unable to clarify the >20% M+3 labeling in malate. As well as, in that case, we also needs to see a robust M+3 signature in glutamate, which is factually absent (Fig 6A). Additionally, the glyoxylate shunt can’t create such an M+3 labeling in malate and aspartate. A special clarification for the M+3 labeling in malate is the exercise of the phosphoenolpyruvate carboxylase (Ppc), a response that was steered earlier than to be related for intracellular STm [27]: right here, a totally labeled PEP combines with an unlabeled CO2 to M+3 labeled oxaloacetate (Fig 6C). Ppc is an anaplerotic response that can also be a part of the blended acid fermentation path from pyruvate to succinate in STm [59].

thumbnail

Fig 6. Ppc underlies the robust M+3 labeling within the TCA cycle and is required for intracellular STm replication.

(A) Mass isotopomer distributions of glutamate, aspartate, and malate within the wt. (B) If a labeled PEP/pyruvate (labeling share is roughly 20%–30%, see Fig 3B) proceeds via pyruvate dehydrogenase, combining with unlabeled oxaloacetate, it generates an M+2 hint in citrate, isocitrate, α-ketoglutarate, and glutamate, and many others. within the first spherical of the TCA cycle. The symmetry in succinate might end in M+3 and M+4 labeled α-ketoglutarate and downstream metabolites when M+2 labeled oxaloacetate combines with labeled acetyl-CoA in additional rounds of the TCA cycle. Because of the initially low labeling share in pyruvate, nevertheless, substantial percentages of M+3/M+4 labeled metabolites are unimaginable. (C) If a labeled PEP proceeds via Ppc, mixed with an unlabeled CO2, it will probably generate a considerable M+3 hint in oxaloacetate, aspartate, malate, and downstream metabolites. Because the response from succinate to α-ketoglutarate is irreversible, the M+3 hint can’t, nevertheless, proceed to α-ketoglutarate and glutamate. (D) Mass isotopomer distributions in a ppc knockout. P-values for the M+2 hint in glutamate and the M+3 hint in aspartate and malate in comparison with the wt are from a two-sample t check. (E) Fold change in CFUs 12 hpi within the wt and ∆ppc mutant. The P-value is from a two-sample t check. For A, D, E: Bars are averages from 3–6 replicates. The information underlying this determine might be present in S1 Knowledge. CFU, colony-forming unit; hpi, hours post-infection; PEP, phosphoenolpyruvate; ppc, phosphoenolpyruvate carboxylase; STm, Salmonella Typhimurium; TCA, tricarboxylic acid; wt, wild sort.


https://doi.org/10.1371/journal.pbio.3002198.g006

To experimentally verify the contribution of Ppc, we decided the labeling in glutamate, aspartate, and malate in a ppc knockout mutant and the wt. General, the two exhibited comparable labeling patterns, as judged by the TFLE of 32 metabolites (S7B Fig). Whereas the M+2 labeling in glutamate was unaltered, the M+3 labeling in aspartate and malate changed into M+0 labeling within the ppc mutant (Figs 6D and S7C), confirming that the anaplerotic Ppc response is causal for the noticed M+3 labeling within the 2 metabolites. A ppc knockout mutant confirmed roughly 50% discount in CFUs after 12 hpi an infection in RAW 264.7 macrophages, suggesting the significance and inescapability of this response for intracellular STm proliferation in our circumstances (Fig 6E).

The anaplerotic Ppc response in E. coli is thought to be important for progress on single glycolytic carbon sources coming into higher/decrease glycolysis or the EDP, however not for progress on TCA cycle intermediates [6062]. We experimentally confirmed the essentiality of Ppc in M9 glucose medium with out amino acids in STm (S7D Fig), in settlement with earlier research [63]. In distinction, the ppc mutant grew practically just like the wt in wealthy LB medium (S7D Fig). The significance of Ppc for STm throughout intracellular progress is subsequently defined by its predominant use of carbon sources that enter glycolysis and the EDP (Fig 4). General, our information underline the utilization and key function of the anaplerotic Ppc response throughout an infection.

Dialogue

Measuring direct metabolic actions of intracellularly replicating micro organism has not been potential till now, resulting from difficulties in distinguishing bacterial from host metabolites. Right here, we offer a technique to particularly hint bacterial metabolites throughout an infection and use it to generate the primary quantitative carbon flux map for an intracellular pathogen, Salmonella, rising inside macrophages. Because of this, we confirmed prior outcomes stemming from oblique measurements of metabolic exercise [4,79] and contributed new findings on intracellular STm metabolism. Along with revealing the energetic elements of metabolism throughout an infection (glycolysis, TCA cycle, nucleotide, and NADH metabolism, biosynthesis of proteinogenic and non-proteinogenic amino acids, glutathione metabolism, and the biosynthesis of cell wall constructing blocks), we had been capable of reveal the key substrates STm feeds on and the primary catabolic routes (foremost the EDP). Regardless of not with the ability to mannequin anaplerosis, we confirmed that the anaplerotic phosphoenolpyruvate carboxylase response (ppc) is vital throughout intracellular progress.

General, our information straight help the view that intracellularly proliferating STm receives and co-utilizes a plethora of various vitamins from the media and/or the host [7]. STm subsequently solely partially depends on the provision of the supplemented mannitol, largely feeding on different substrates. This highlights that the chosen mannitol-based method whereas being synthetic, doesn’t perturb the metabolism considerably. Apparently, vitamins like mannitol or glycerol which might be usually repressed by glucose [39,64] are readily metabolized throughout intracellular STm progress. Though a better glucose focus within the host cell medium lowered the labeling from U-13C mannitol (S5C Fig), we imagine that this displays the decreased fraction of labeled substrate, not a repressive impact of glucose on mannitol. This absence/mitigation of glucose repression could also be attributable to very low steady-state glucose concentrations [65] (within the tons of of μg/L), which can prevail contained in the SCV [7]. Whereas our information couldn’t distinguish whether or not STm takes up glucose or glucose 6P, the latter has been steered earlier than to be excluded from the SCV, because the expression of its transporter UhpT can be utilized as a reporter for cytoplasmic STm [66].

Notably, STm rising inside macrophages or epithelial cells (grown in the identical host cell medium) confirmed comparable labeling patterns, suggesting that the STm metabolism is carefully and straight interacting with the vitamins out there within the host cell and the cell tradition medium—with out a lot energetic restriction by the host cells. Vitamins from the medium can attain STm by way of host cell/SCV membranes, however Salmonella-induced filaments have been proven to facilitate the uptake of vitamins via the host endosomal system [67]. Whether or not a few of the imported metabolites are particularly facilitated by Salmonella-induced filaments wants additional investigation. Micro organism may additionally secrete labeled metabolites into the host cells, that are then reimported once more, however we think about their contribution to the general fractional 13C enrichment insignificant, because the host metabolite pool is far greater.

Our 13C-MFA method was capable of infer relative fluxes regardless of uncertainties within the information. Establishing sooner and more practical bacterial isolation protocols will additional increase and enhance flux estimations, permitting the appliance of our methodology to different cell sorts, main cells as an alternative of cell strains, or different host–pathogen and symbiotic interactions. Improved experimental setups with positionally labeled tracers like 1-13C mannitol [68], parallel labeling experiments [69], or isotopically nonstationary 13C-MFA [70] might present extra informative flux estimations. Different carbon sources with comparable properties like mannitol, i.e., they’re taken up however not metabolized by host cells and integrated into the bacterial metabolism, could present further insights into the bacterial metabolism. As well as, utilizing mutants of particular steps within the metabolic pathways, as we did right here with ppc, could assist additional to tell apart between the utilization of particular pathways [71]. Whereas we selected a broad LC–MS methodology that covers metabolites from central carbon metabolism, amino acids, and nucleotide metabolism, making use of completely different (focused) metabolomics strategies can present extra refined data on the exercise of different elements of metabolism, just like the fatty acid metabolism, or fermentative pathways [72]. General, the tactic introduced right here opens new avenues to additional examine the intracellular metabolism and physiology of STm or different pathogens that replicate inside host cells. Characterizing energetic and necessary metabolic pathways throughout pathogen intracellular progress might sooner or later inform the event of novel metabolism-based therapeutic methods to inhibit difficult-to-treat pathogens.

Supplies and strategies

Strains, cell strains, and progress circumstances

The mammalian cell strains RAW264.7 (ATCC TIB-71) and HeLa (ATCC CCL-2) had been saved at 37°C and 5% CO2. RAW264.7 and HeLa cells had been cultured in DMEM medium with 4.5 g/L glucose (Thermo Fisher Scientific, #41965039) containing 10% heat-inactivated fetal bovine serum (FBS, Sigma-Aldrich F9665) and passaged often utilizing accutase (Thermo Fisher Scientific #A1110501) for RAW264.7 cells and trypsin-EDTA (Thermo Fisher Scientific 25300054) for HeLa cells. Solely cells under a passage variety of 15 had been used for all experiments. For an infection experiments, cells had been seeded and handled in a medium with 1 g/L glucose and 0.11 g/L sodium pyruvate (Thermo Fisher Scientific, #11885084) containing 10% heat-inactivated (and dialyzed for metabolomics experiments) FBS (Sigma-Aldrich, F0392).

The bacterial wt used was Salmonella enterica subsp. Typhimurium 14028s and all knockout mutants (∆mtlA, ΔmtlD, Δppc, ΔssaV) had been generated by P22 transduction of the corresponding mutant from a single gene deletion library [73] into the wt and subsequent affirmation by PCR. The kanamycin focus used for choice was 30 μg/mL. The primers used for checking had been: ∆mtlA: CGCGACAGCAACATAAGAAGG and a primer binding contained in the kanamycin resistance CAGTCATAGCCGAATAGCCT (k1); ΔmtlD: TGTGGAGAGGGTTAGGTTGAG and AGGCCTGGGTTTGTTCCATT; Δppc: CAGCAGTATTTCATGCCGCC and AGTAATTGACGCCACGGGTT; ΔssaV: obtained from [74].

LB Lennox medium was used for bacterial cultivation except said in any other case. Warmth-inactivation of STm was completed by incubation in PBS at 65°C for 15 min (Figs 2B and S2D).

Media, chemical compounds, and reagents

The next metabolite requirements had been bought from Sigma-Aldrich: Amino acid requirements physiological (A9906); D-glucose (Sigma Aldrich G8270); D-glucose-6-phosphate sodium salt (G7879); D-Fructose 6-phosphate disodium salt hydrate (F3627); D-Fructose 1,6-bisphosphate trisodium salt hydrate (F6803); Dihydroxyacetone phosphate lithium salt (37442); Phospho(enol)pyruvic acid monopotassium salt (P7127); Sodium pyruvate (P2256); Citric acid monohydrate (Roth 3958.2); DL-Isocitric acid trisodium salt hydrate (I1252); α-Ketoglutaric acid disodium salt hydrate (K3752); Succinic acid (S3674); Sodium fumarate dibasic (F1506); DL-Malic acid (240176); D-Ribose 5-phosphate disodium salt hydrate (R7750); Itaconic acid (I29204); γ-Aminobutyric acid (A2129); L-Alanyl-L-alanine (A9502); Uridine 5′-diphosphoglucose disodium salt hydrate (U4625); Uridine 5′-diphospho-N-acetylglucosamine sodium salt (U4375); β-Nicotinamide adenine dinucleotide, diminished disodium salt hydrate (N8129); N-Acetyl-L-glutamic acid (855642); Inosine (I4125); Cytidine (C4654); Uridine (U3750); Adenine (A2786); Thymine (T0376); Guanosine 5′-monophosphate disodium salt hydrate (G8377); Uridine 5′-monophosphate disodium salt (U6375); Adenosine 5’-monophosphate sodium salt (A1752); Guanosine 5′-diphosphate sodium salt (G7127); Cytidine 5′-diphosphate sodium salt hydrate (C9755); Uridine 5′-diphosphoglucose disodium salt hydrate (U4625); Adenosine 5′-diphosphate sodium salt (A2754); Guanosine 5′-triphosphate sodium salt hydrate (G8877); ATP (A16209); UTP (U6625); L-Glutathione oxidized (G4376); L-Glutathione diminished (G4251); Sodium L-lactate (L7022); Mannitol-1-phosphate lithium salt (92416), D-mannitol (M4125).

The next requirements had been obtained from MetaSci (Metasci, Toronto, Canada): Guanine, Shikimic acid, Glyceric acid, Pantothenic acid, Pyridoxine, Ascorbic acid, Aminobenzoic acid, Uracil, Indole, Sarcosine, Alanine, Taurine, Acetylphosphate, Folic acid, Glycerol-3-phosphate, Citrulline, Ornithine, Cis-aconitate, Pyroglutamic acid, gamma-Aminobutyric acid, cyclic Adenosine monophosphate, Guanosine, beta-Alanine. Notice that not all of those metabolites might be detected in our samples.

Requirements from different suppliers had been: D-[UL-13C6]mannitol (Omicron, ALD-030) and amino acid requirements (Supelco, A9906). As inner requirements, we used Creatinine-(methyl-13C) (Sigma-Aldrich 488615) or an amino acid normal combine (Cambridge Isotope Laboratories, Inc., MSK-A2-1.2). Chemical compounds utilized in different experiments had been: Gentamicin sulfate (Sigma-Aldrich G1914), Kanamycin disulfate salt (Sigma-Aldrich K1876); Triton X-100 (Sigma-Aldrich X100), amicase (Sigma Aldrich, A2427), glycerol (Geyer Th. 2050).

Gentamicin safety assay

The gentamicin safety assay was carried out as described earlier than [75]. In short, for RAW264.7 cell infections, cells had been seeded 16 to 18 h earlier than the an infection in 6-well plates (0.9 × 106 cells per properly) or T-75 flasks (7 × 106 per flask). STm had been grown in a single day with shaking at 37°C from a single colony in LB medium. For HeLa cell infections, cells had been seeded in 6-well plates (0.2 × 106 cells per properly) or T-75 flasks (1.6 × 106 per flask). STm had been grown in a single day with shaking at 37°C from a single colony in LB medium and subcultured (300 μL in a single day tradition in 10 mL LB Miller) for 3.5 h at 37°C, with shaking at 60 rpm. For RAW264.7 and HeLa infections, micro organism had been washed as soon as with PBS and resuspended in the identical quantity of PBS. Micro organism had been added to the host cells at an MOI of 100, spun down at 170 g for five min at RT, and incubated for 25 min at 37°C to permit for bacterial uptake. Notice that this MOI results in cell demise in round 30% of the host cells in 19 h [74], however launched micro organism are rapidly killed by gentamicin within the medium, and washed away earlier than host cell lysis and bacterial isolation. Subsequently, they don’t contaminate the metabolic alerts from the remoted alive micro organism. Cells had been then washed as soon as with DMEM medium containing 100 μg/mL gentamicin and incubated for 1 h with 100 μg/mL gentamicin in DMEM. After 1 h, the medium was exchanged for DMEM with 16 μg/mL gentamicin, and 4 g/L mannitol (U-13C-labeled or unlabeled) was added to the medium if relevant. This time level was outlined because the time level zero (0 hpi). Cells had been incubated at 37°C, 5% CO2 till the sampling time level.

Quantification of bacterial progress extracellularly

Pre-cultures had been grown in a single day shaking at 37°C in MOPS medium [76] containing 1 g/L amicase with 2 g/L glycerol, or 2 g/L glucose as the primary carbon supply. Samples had been inoculated 1:100 from the glycerol pre-culture into recent MOPS medium containing amicase with both 2 g/L glycerol, 2 g/L mannitol, or 2 g/L glycerol and a pair of g/L mannitol. The extra samples had been inoculated 1:100 from the glucose pre-culture into recent MOPS medium containing amicase with both 2 g/L glucose, or 2 g/L glucose, and a pair of g/L mannitol. For the experiments in S1D Fig, the pre-culture was grown in MOPS medium with 1g/L amicase and a pair of g/L glycerol or 2 g/L sodium pyruvate after which diluted 1:100 into the ultimate cultures analogously as described above. Absorbance at 600 nm was monitored each 10 to fifteen min with steady shaking at 37°C in a plate reader (Biotek Synergy HT) and the background-subtracted absorbance at 10 h after inoculation (the cultures had already reached stationary section) was decided. For information in S7D Fig, cultures had been pre-grown in LB or M9 glucose (1× M9 salts, 2 mM MgSO4, 0.1 mM CaCl2, and a pair of g/L glucose) medium in a single day, sub-diluted in the identical medium, and measured each 15 min with steady shaking at 37°C within the plate reader. All the info had been processed and plotted utilizing Matlab R2017b (The MathWorks). Progress charges (S1F Fig) had been decided from the linear area on the background-subtracted log-transformed absorbance information.

Notice that we thought-about “technical replicates” as parallel measurements from the identical beginning tradition (e.g., progress of the identical bacterial tradition was measured in 2 wells within the plate reader); “organic replicates” as parallel measurements of various beginning cultures (e.g., an infection of a number of cell tradition wells seeded the day earlier than), and “impartial experiments” because the repetition of the identical or extremely comparable experiment on a distinct day with utterly completely different beginning cultures.

Pattern processing and metabolite extraction from mammalian cells

To check RAW264.7 or HeLa cells for his or her potential to metabolize mannitol (Figs 1B and S1A), the cells had been seeded in 6-well plates (densities as above) in DMEM medium containing 1 g/L glucose, 0.11 g/L sodium pyruvate, and 10% FBS and supplemented with both 1 g/L 13C uniformly labeled glucose (Cambridge Isotope Laboratories CLM-1396-5), or 1 g/L 13C uniformly labeled mannitol; chemical purities are 99%. The cells had been incubated at 37°C and 5% CO2 for 48 h, washed as soon as with 10 mM ammonium acetate, quenched with 1 mL ice-cold 80% HPLC-grade methanol, and incubated at −80°C for 20 min. The cells had been then scraped from the plates (saved on dry ice), vortexed totally, and sonicated for five min in a cooled water tub. The cell particles was eliminated by centrifugation at 14,000 g for 10 min at 4°C. The supernatant was subsequently transferred to a brand new tube, dried below liquid nitrogen, and resuspended in 80% methanol for LC–MS evaluation. The evaluation was carried out in organic triplicates.

To check whether or not the addition of mannitol impacts the metabolism of host cells (S1I and S1J Fig), RAW264.7 and HeLa cells had been grown as described above, with or with out the addition of 4 g/L mannitol for 12 h. Cells had been washed as soon as with PBS, quenched with 1 mL ice-cold 80% HPLC-grade methanol, and incubated at −80°C for 20 min, and processed as above however with resuspension in a (Methanol-Acetonitrile-Water) MeOH:ACN:H2O (40:40:20) combination. The evaluation was carried out on 6 organic replicates.

Bacterial isolation from mammalian cells and bacterial metabolite extraction

When sampling from an infection experiments for metabolite evaluation, we seeded RAW264.7 or HeLa cells in T-75 flasks (Greiner). The gentamicin safety assay was carried out as described earlier than, with the addition of both unlabeled mannitol or U-13C mannitol at 0 hpi (when including the low gentamicin focus). On the sampling time level, if relevant, samples of the medium had been taken, spun down as soon as at 8,000 g for five min to take away potential cells, and 100 μL of the supernatant was added to 400 μL of an ice-cold 1:1 combination of MeOH:ACN containing inner normal. The combination was rapidly vortexed and frozen at −80°C.

The contaminated cells had been washed as soon as with 10 mL of heat 0.9% NaCl and lysed utilizing 3 mL ice-cold 0.05% Triton X-100 in NaCl on ice. The next steps had been carried out in a chilly room on ice and samples had been solely processed in pairs or triplets to scale back processing time for every pattern. The samples had been incubated within the lysis resolution for five min, scraped from the flask, and the lysate was filtered via a 5 μm cellulose nitrate filter (Whatman, Puradisc, WHA10462000). For HeLa cell samples (S3B Fig), the filtrates from 3 T-75 flasks had been pooled for higher protection. The filtrate was then washed as soon as with ice-cold NaCl in a pre-cooled centrifuge (10,000 g for five min at 1°C), and metabolites had been extracted by resuspension in 100 μL of an ice-cold MeOH:ACN:H2O (40:40:20) combination containing inner normal. The samples had been instantly frozen at −80°C. This complete process took roughly 20 min.

Metabolites had been extracted from the collected samples by subjecting them to six freeze–thaw cycles alternating between liquid nitrogen and shaking at 10°C. The cell particles was eliminated by centrifugation at 17,900 g for 10 min at 1°C, and the metabolite-containing supernatant was saved at −80°C till the evaluation. To quantify absolute metabolite ranges within the cell tradition medium (S2I Fig), we ready normal curves (2-fold dilutions) from recent DMEM medium (1 g/L glucose, 0.11 g/L sodium pyruvate) which already contained most metabolites of curiosity at outlined concentrations and supplemented it with further compounds (mannitol, lactate, itaconate). All normal curves confirmed a linear or double-linear conduct within the sampled area. To acquire absolute concentrations from peak areas, we used the Matlab operate interp1() for linear inter- and extrapolation.

Preparation of bacterial in vitro samples for metabolomics

STm 14028S wt was diluted to OD 0.0003 from o/n cultures in M9 medium (1× M9 salts, 2 mM MgSO4, 0.1 mM CaCl2, 1 g/L amicase, and 4 g/L glucose or mannitol) and grown in M9 medium till roughly OD 0.15 in quadruplicates. Cells in volumes equal to OD 2 (i.e., 13.3 mL for OD 0.15) had been spun down as soon as at 4,000 g for five min, washed as soon as with PBS, and metabolites had been extracted by resuspension in 1 mL of an ice-cold MeOH:ACN:H2O (40:40:20) combination containing inner normal (MSK-A2-1.2, Cambridge Isotope Laboratories). The samples had been instantly frozen at −80°C and processed for metabolomics evaluation as described above.

For the comparability of the quick and normal isolation protocol (S2E–S2G Fig), STm was grown in MOPS medium with 0.1% amicase and 0.4% mannitol (of which 50% was uniformly 13C labeled), till an OD of roughly 0.2. For the quick isolation protocol, 5 mL of bacterial tradition was filtered on a 0.45 μm polyvinylidene difluoride (PVDF) membrane (Merck Millipore) on a vacuum filtering flask, washed as soon as with 5 mL heat PBS, and the filter was instantly positioned into 1 mL ice-cold extraction resolution (MeOH:ACN:H2O (40:40:20) combination containing inner normal). For the usual isolation protocol, 10 mL of the identical bacterial tradition was pushed via a 5 μm cellulose nitrate filter (Whatman, Puradisc, WHA10462000) utilizing a 50 mL syringe. The filtrate was spun down (4,000 g for five min at 1°C) and washed as soon as with ice-cold PBS in a pre-cooled centrifuge (10,000 g for five min at 1°C), and metabolites had been extracted by resuspension in a 1 mL extraction resolution. All samples had been instantly frozen at −80°C and processed additional as described above. Experiments had been carried out in triplicates.

LC–MS measurement

Most samples and requirements had been analyzed on a Vanquish UHPLC system coupled to a Q Exactive Plus HRMS (Thermo Fisher Scientific, Massachusetts, United States of America); samples on the impact of mannitol on bacterial and host cell physiology and the impact of the isolation protocol (“management samples,” S1G, S1I, S1J and S2E Figs) had been analyzed on a Vanquish UHPLC system coupled to an Orbitrap Exploris 240 high-resolution mass spectrometer (Thermo Scientific, Massachusetts, USA) in detrimental ESI (electrospray ionization) mode. For many samples, the separation of metabolites was carried out on an XBridge BEH Amide column XP (100 × 2.1 mm; 2.5 μm) at a circulate charge of 0.3 mL/min, maintained at 40°C. The cellular section consisted of solvent A (7.5 mM ammonium acetate with 0.05% ammonium hydroxide) and solvent B (acetonitrile). A 16-min chromatographic run comprised a linear gradient from 2 to 12 min beginning at 85% of solvent B and ending at 10%, adopted by a maintain from 12 to 14 min and a linear gradient to return to the preliminary circumstances at 14.1 min. Analytes had been recorded by way of a full scan with a mass resolving energy of 70,000 over a mass vary from 60 to 900 m/z, an AGC goal of 1e6 ions, and a most IT of 100 ms. Ion supply parameters had been set to the next values: spray voltage −3,500 V, sheath fuel: 30 psi, auxiliary fuel: 5 psi, S-Lens 65 eV, capillary temperature: 320°C, vaporizer temperature: 280°C. The column temperature was maintained at 40°C, the autosampler was set to six°C and the pattern injection quantity was 3 μL for medium samples and 20 μL for cell samples. The instrument was calibrated earlier than each evaluation utilizing a calibration resolution (Thermo Fisher Scientific, #88340).

For the management samples (S1G, S1I, S1J and S2E Figs), chromatographic separation was carried out on an Atlantis Premier BEH Z-HILIC column (Waters, Massachusetts, USA; 2.1 mm × 100 mm, 1.7 μm) at a circulate charge of 0.26 mL/min. The cellular section consisted of H2O (cellular section A) and ACN:H2O (9:1; cellular section B), which had been modified with a complete buffer focus of 10 mM ammonium acetate, respectively. The aqueous portion of every cellular section was adjusted to pH 9.0 by way of the addition of ammonium hydroxide. The next gradient (20 min whole run time together with re-equilibration) was utilized (min/%B): 0/100, 2/100, 15/50, 16/50, 16.5/100, 20/100. The column temperature was maintained at 40°C, the autosampler was set to 4°C and the pattern injection quantity was 7 μL. Analytes had been recorded by way of a full scan with a mass resolving energy of 180,000 over a mass vary from 70 to 800 m/z (scan time: 100 ms, RF lens: 70%). Ion supply parameters had been set to the next values: spray voltage: −3,500 V, sheath fuel: 30 psi, auxiliary fuel: 5 psi, sweep fuel: 0 psi, ion switch tube temperature: 350°C, vaporizer temperature: 300°C.

Earlier than pattern evaluation, metabolite requirements had been injected (requirements listed below chemical compounds): we both injected them individually in extraction buffer or blended them in spectrally non-overlapping teams primarily based on their molecular weights into high quality management (QC) samples. QC samples had been ready individually for the medium and cells by mixing equal volumes of their particular person samples. This evaluation of requirements on the LC–MS system allowed us to find out retention instances and peak shapes for all metabolites of curiosity.

Experimental samples had been measured in a randomized method. Pooled QC samples had been ready by mixing equal aliquots from every processed pattern. A number of QCs had been injected at the start of the evaluation to equilibrate the LC–MS system. A QC pattern was analyzed after each roughly fifth experimental pattern to watch instrument efficiency all through the analytical sequence. For the dedication of background alerts and subsequent background subtraction, a further processed clean pattern was recorded. Inner requirements had been used to detect procedural errors, not for information normalization.

Evaluation of metabolomics information

Peak areas of the deprotonated [M-H] metabolite ions and of all isotopologues (plenty decided utilizing Scientific Instrument Companies isotope distribution calculator) for every metabolite had been quantified on the smoothed extracted ion chromatograms (15 smoothing factors) utilizing the XCalibur Quan Browser software program (Thermo Fisher Scientific, Model 4.1.31.9) with a mass tolerance of seven to 10 ppm. Areas of non-detected peaks had been set to 0, besides said in any other case.

All subsequent information evaluation was completed utilizing Matlab. Primarily based on the comparability between our normal and a sooner isolation protocol, we thought-about the next metabolites as unreliable for the quantification of MIDs from intracellular STm. This choice was primarily based on direct measurements or on shut proximity to an unreliable metabolite within the metabolic community (though the metabolite couldn’t be quantified on this particular experiment): cis-aconitate, citrate, alpha-ketoglutarate, glutamate, glutamine, serine, pyruvate, lactate, alanine, fumarate, aspartate (S1 Desk). As well as, to determine actual isotopic peaks—versus contaminations or interference from different metabolites—we straight in contrast the identical situation handled with 12C mannitol (unlabeled) and U-13C mannitol. As we usually had low sign intensities, we used the 12C samples to pick metabolites for which we might make dependable statements in regards to the quantitative fractional 13C enrichment within the 13C samples. This choice was completed primarily based on the detection of the naturally labeled M+1 isotope, and customarily, solely metabolites had been chosen for which the M+1 fractional enrichment didn’t deviate by greater than 50% from the theoretically calculated M+1 enrichment (primarily based on the pure 13C isotope abundance of 1.07% [77]), apart from mannitol 1P and glucose 6P/fructose 6P in Fig 3, which deviated by 79% and 57%, respectively, for the low glucose information and mannitol 1P which deviated by 59% for the excessive glucose information (S4 Knowledge). We selected this comparatively excessive deviation of fifty%, as orbitraps are already recognized to systematically underestimate heavier pure isotopes, as much as 20% for the M+1 isotope [78]. Typically, we anticipate greater labeling ratios in our information to be extra correct than smaller ones: as most labeled isotopologues confirmed greater labeling ratios than the naturally occurring 13C, we anticipate our information to be extra correct than the 50% cutoff. This strict cut-off led to a barely completely different set of metabolites that might be quantified in every experiment. Typically, the reproducibility and precision between replicates had been very excessive (see S3A Fig), and we, subsequently, determined to measure solely 2 to three replicates per situation. Notice that we solely quantified labeling ratios from remoted micro organism, that are extra secure than absolute metabolite ranges [79] (and S2E Fig). We corrected all information for the 13C pure isotope and 12C impurity within the absolutely labeled 13 mannitol utilizing IsoCor [80].

To acquire the fractional 13C enrichment, we summed the height areas from all reliably detected isotopes for 1 metabolite and divided the height space of every isotope by this sum. Averages and normal deviations had been decided from replicates utilizing the Matlab features imply(), and std(). To find out the overall fractional 13C enrichment (TFLE) for 1 metabolite, we summed the chances ranging from M+1 (= 1 –M+0).

Metabolic modeling and computational flux inference

A metabolic community mannequin of central carbon metabolism comprising the Embden–Meyerhof pathway, the PPP, the EDP, the TCA cycle, anaplerosis, nucleotide biosynthesis, NADH biosynthesis, UDP-N-acetylglucosamine biosynthesis, and amino acids synthesized from these central metabolic pathways had been formulated primarily based on reactions taken from KEGG (https://www.genome.jp/kegg) for Salmonella enterica subsp. Typhimurium 14028s and outfitted with carbon atom transitions acquired from BioCyc (https://biocyc.org) (S4 Fig). Until thermodynamic proof was out there, all reactions had been thought-about reversible, i.e., to hold a ahead and a backward flux, particularly, the reactions of the reductive a part of the PPP. The remaining (unidirectional) reactions, particularly, the uptake steps, are characterised by a single flux parameter. Some reactions catalyzed by greater than 1 enzyme had been formulated as a single response step. For instance, the unidirectional phosphofructokinase (pkfA/pfkB) and the opposing unidirectional fructose-1,6-bisphosphatase (fbp) reactions had been lumped into the bidirectional pseudo-reaction pkfA/B_fbp. Uptake reactions had been specified for all potential main carbon substrates (mannitol, glucose/glucose 6P, gluconate, N-acetyl-glucosamine, ribose, mannose 6P, glycerol) which might be accessible to STm [7]. Moreover, we allowed the uptake of amino acids, in addition to nucleotides (adenine, guanine, cytosine, and uracil). For some metabolites (e.g., glycine or different riboses), no express uptakes had been formulated, as these could be indistinguishable from neighboring uptakes (which is to be saved in thoughts when deciphering their contributions). Intracellular bacterial progress was modeled by precursor drain fluxes (inexperienced in S4 Fig), with values representing their share within the general biomass composition [81]. Then, from the central carbon metabolism mannequin, a targeted mannequin was formulated by pruning TCA and anaplerotic pathways. That diminished the variety of amino acids probably taken as much as alanine, tyrosine, phenylalanine, tryptophan, histidine, and serine (cyan in S4 Fig).

Until in any other case said, response fluxes had been formulated within the net-exchange flux coordinate system [53]. Web fluxes are expressed relative to the expansion charge μ. Apart from CO2 manufacturing, internet fluxes had been constrained between −15 and 15 instances μ, whereas change fluxes had been constrained by 30 instances μ. From simulations with the big mannequin, calibrated with the labeling information, we derived additional constraints on internet fluxes, which had been utilized within the targeted mannequin. Particularly, these had been higher bounds for the summed internet uptake of and outflux from pyruvate (1.0 · μ), and decrease and higher bounds for the pgk/gpm/eno (PGP -> PEP) flux, i.e., 0.4 · μ ≤ pgk/gpm/eno ≤ 1.3 · μ. Moreover, fluxes from pyruvate in direction of the TCA and the anaplerotic pathways in addition to potential backward (gluconeogenetic) fluxes within the targeted mannequin had been constrained by values obtained from full mannequin simulations.

The purity of mannitol was set to the manufacturer-specified worth of 99 atom%. Naturally occurring heavy 13C atoms from naturally labeled carbons of the tracer are thought-about by the simulation mannequin, in addition to 12C atoms from the impurity of labeled carbon atoms. For each configurations, i.e., low/excessive glucose concentrations, measured isotopologues had been corrected for the pure abundance of different heavy isotopes [80] and integrated into the mannequin if discovered dependable (S1 Desk, S2E Fig, and Strategies), leading to a complete of 127 single measurements for 12 metabolites for every glucose focus. Since glucose 6P and fructose 6P couldn’t be separated, a blended pool (H6P) was launched to mannequin their sum measurement. The atom transition mannequin was formulated within the standardized FluxML doc format [82]. Labeling information for the two glucose concentrations had been included as 2 completely different configurations (S1 File).

BMA utilizing a tailor-made Markov chain Monte Carlo (MCMC) method [55] and the high-performance 13C-MFA simulator 13CFLUX2 [83] was employed, delivering joint posterior likelihood distribution for the online fluxes. From the marginal posterior distributions 95% credible intervals had been extracted (S5A Fig), in addition to the likelihood for the intracellular reactions to function in ahead and backward instructions concurrently (S2 Desk). For the latter, the chances for ahead (backward) fluxes had been calculated because the proportion of samples for which the online flux was >0 (<0) plus the proportion of samples for which the online flux was <0 (>0) and the change flux was non-zero.

For MCMC, 10 Markov chains had been run. For all internet fluxes, a possible scale discount issue (PSRF) under 1.1 (S3 Desk) indicated correct convergence [84] after burn-in (6,000,000 samples) and thinning (discarding all however each 2,500 samples from a complete of 10,000,000 samples), leading to 10 instances 4,000 samples. To evaluate the standard of the samples, mixing plots for the online fluxes (S8 Fig) and of the mannequin house (S9 Fig) had been checked for correct mixing. Lastly, predictive posterior checks had been carried out to guarantee that the mannequin used for inference is in line with the labeling information (S10 Fig).

SDS-PAGE and immunoblot

To find out the contribution of bacterial materials to the overall cell materials throughout an an infection (S2A Fig), uninfected host RAW264.7 cells, and host cells contaminated with a replication-deficient mutant (ΔssaV), or the wt had been separated at 20 hpi by SDS-PAGE alongside serially diluted STm grown in monoculture (1:1, 1:10, 1:100, 1:300, 1:900). Pattern preparation and immunoblot utilizing anti-RecA had been carried out as described under. To find out the contamination of host materials throughout our isolation protocol (S2B and S2C Fig) (as described above however utilizing cOmplete protease inhibitor cocktail (Roche, 11697498001) within the lysis buffer Triton X-100 in PBS), samples had been taken at completely different steps of the bacterial isolation protocol: earlier than filtration via the 5 μm filter, after filtration, earlier than, and after the focus step. The samples had been added to Laemmli buffer loading dye, heated to 95°C for five min, and centrifuged. Samples had been then separated by SDS-PAGE and adopted by immunoblot switch to a 0.45 μm PVDF membrane (Millipore, Immobilin-P, no. IPVH00010). Membranes had been blocked with 5% skim milk in Tris-buffered saline (TBS-T) for 1 h and probed with the next antibodies by incubation at 4°C in a single day: RecA (Abcam ab63797), 1:5,000; GAPDH (Cell Signaling #8884), 1:10,000; VDAC1 (Cell Signaling #4866), 1:1,000; histone H3 (Cell Signaling #4499), 1:1,000; Calreticulin (Cell Signaling #12238), 1:1,000. The secondary antibody (anti-rabbit) was used at 1:10,000 and incubated with washed membranes for 1 h at room temperature. After washing, a chemiluminescence substrate (Thermo Fisher Scientific #32109) was used for sign growth and detected utilizing a digital creating machine (ChemiDoc contact imaging system). Protein quantification by densitometry was carried out utilizing ImageJ model 1.52i.

Supporting data

S1 Fig. Mannitol uptake is repressed in vitro, however mannitol reaches STm inside host cells with out affecting the host or bacterial metabolism.

(A) 13C-labeled fractions of hexose-phosphates and alanine from HeLa cells, decided 48 h after the addition of U-13C mannitol (mtl), or U-13C glucose (glc) into the glc-containing cell tradition medium (DMEM with 1 g/L glc, Strategies). Graphs present averages from 3 organic replicates. (B) Progress of STm wt, and ∆mtlD, in MOPS medium with amino acids (Strategies) and with mixtures of glucose 6P (glc6P), and mtl, as the primary carbon supply. Bars depict the typical of 4 technical replicates from 1 organic replicate. (C) In vitro progress curves of wt, ∆mtlA, and ∆mtlD below repressive and non-repressive circumstances, in MOPS medium with completely different carbon sources (mixtures of glc, mtl, glycerol (glyc), and glc6P). Curves are consultant of at the least 2 technical replicates and a pair of impartial experiments (1 impartial experiment for plots with glc6P). (D) The identical as (C) however with wt and a knockout mutant of glycerol-3P dehydrogenase (∆glpD) which accumulates poisonous glyc phosphate [42]. Whereas mtl represses the uptake of glyc, the non-repressive carbon supply pyruvate (pyr) doesn’t, thereby lowering the expansion charge of ∆glpD. Curves are consultant of two organic replicates. (E) STm ∆mtlD remoted from HeLa cells after a gentamicin safety assay, supplemented with or with out mtl throughout the an infection and noticed on an LB agar plate. The picture is consultant of organic triplicates. (F) Exponential progress charges of wt in M9 medium with and with out amino acids (AA; Strategies), in contrast between glc and mtl because the carbon supply. (G) Volcano plot of 67 relative metabolite ranges of wt grown in M9 medium with mtl versus glc because the carbon supply. Knowledge are from 4 organic replicates (S2 Knowledge). Dashed strains present a 2-fold improve/lower. (H) Fold change in CFUs of STm within the glpD mutant in comparison with the wt at 12 hpi in RAW264.7 cells with or with out the addition of mtl or glyc. Bars are averages of 6 organic replicates. P-values are extremely vital (8.3*10^-7 and 6.5*10^-4) from a two-sample t check. (I) Volcano plot of 69 relative metabolite ranges quantified from RAW264.7 cells 12 h after or with out the addition of 4g/L mtl. (J) Identical as (I) however for 67 metabolite ranges in HeLa cells. Knowledge in (I) and (J) are from 6 organic replicates. Dashed strains present a 2-fold improve/lower (S3 Knowledge). The information underlying this determine might be present in S1 Knowledge.

https://doi.org/10.1371/journal.pbio.3002198.s001

(TIF)

S2 Fig. Bacterial isolation and optimum sampling time level enable sturdy quantification of metabolites.

(A) Uninfected host RAW264.7 cells (denoted by “-”), and host cells contaminated with a replication-deficient mutant (ΔssaV), or the wt had been separated at 20 hpi by SDS-PAGE alongside serially diluted STm grown in monoculture (dilutions denoted above blot). Immunoblot was carried out utilizing an antibody towards the bacterial RecA protein (38 kDa) for the quantification of bacterial materials amongst host materials within the an infection assay by densitometry (numbers (a.u.) on the blot) by way of an ordinary curve. The experiment was carried out in organic duplicates (S1 Uncooked Picture). (B) Enrichment/depletion after filtration, and washing/focus utilized to contaminated RAW264.7 cells. Fold protein ranges relative to the extent earlier than the filtration are proven for micro organism (anti-RecA), cytosolic proteins (anti-GAPDH), mitochondria (anti-VDAC1), histones from nuclei (anti-H3), and the endoplasmic reticulum (ER, anti-Calreticulin). Mitochondria and nuclei had been eliminated by the filtering step, and solubilized ER and cytosolic proteins by centrifuging and washing the bacterial-containing flow-through. Bars are the averages of triplicates. Quantification by densitometry from immunoblots (Strategies). (C) Identical as in (B) however with the bacterial enrichment protocol utilized to contaminated HeLa cells. Utilizing the identical protocol, bacterial enrichment from HeLa cells is much less robust in comparison with RAW264.7 cells, reflecting physiological variations between the two completely different cell strains. Bars are the averages from organic duplicates. (D) Identical information as in Fig 2D, however ratios of peak areas of management over the pattern are individually depicted right here for every metabolite. The stable, dashed, and dotted strains point out the peak at which the management reaches 100%, 50%, or 20%, respectively, of the height space of the pattern. Knowledge are consultant of two impartial experiments in contaminated host RAW264.7 cells. (E) Whole fractional labeling enrichment (TFLE, n = 38) from bacterial monocultures fed with 50% labeled mannitol in contrast between the usual and the quick enrichment protocol. Inexperienced dots point out metabolites with considerably completely different (adjusted p-value <0.01) TFLE between each circumstances (“unreliable metabolites”). The dashed line signifies equal TFLEs from each protocols. Notice that we thought-about pyruvate-derived metabolites (alanine, lactate) as unreliable, as we couldn’t quantify them on this experiment. NADH is a false constructive, because the 13C labeling sample is extremely comparable between the usual and quick protocol (insert). Dots and contours are the averages and normal deviations, respectively, from organic triplicates. (F) MIDs for the quick and normal isolation protocol from bacterial monocultures for chosen metabolites with considerably completely different TFLEs, however solely quantitatively completely different MIDs. (G) Fumarate additionally confirmed qualitatively completely different MIDs between the quick and the usual protocol. Bars in (F, G) are averages of organic triplicates. (H) Replication dynamics of STm inside HeLa cells in a mtl-containing medium. Line is the typical of organic triplicates. (I) Absolute metabolite concentrations within the cell tradition medium throughout STm replication inside RAW264.7 cells and HeLa cells. Strains are the typical of organic duplicates. The black line on the appropriate facet of every determine signifies the focus vary lined by the usual curve. (J) Fractional 13C labeling enrichment for 31 metabolites (their 244 isotopologues are in contrast) from micro organism remoted from RAW264.7 cells in contrast between 12 and 16 hpi (r is the Pearson correlation). Dots are averages from organic duplicates. The information underlying this determine might be present in S1 Knowledge.

https://doi.org/10.1371/journal.pbio.3002198.s002

(TIF)

S3 Fig. Replicate correlations and comparability of bacterial metabolite labeling from U-13C mannitol between two cell strains.

(A) Pairwise replicate correlations (triplicates) from the fractional 13C enrichment of n = 183 isotopologues in 24 metabolites from RAW264.7 cells from the identical experiment as proven in Fig 3A. The Pearson correlation coefficient r is depicted. (B) Whole fractional labeling enrichment of various bacterial metabolites (n = 17) remoted from and in contrast between RAW264.7 and HeLa cells 12 hpi with MOI 100. Bars present averages of three (RAW264.7) and a pair of (HeLa) organic replicates. Bars for RAW264.7 cells are the identical as in Fig 3A. Metabolites quantitatively affected by the enrichment protocol (S2E Fig) are denoted with a *. The information underlying this determine might be present in S1 Knowledge.

https://doi.org/10.1371/journal.pbio.3002198.s003

(TIF)

S4 Fig. Graphical illustration of the targeted metabolic community mannequin of STm.

Community development and visualization had been carried out utilizing the community editor and visualization software program Omix [85]. Small double-headed arrows point out response reversibility. The mannequin incorporates the next pathways: glycolysis (pink), pentose phosphate pathways (PPP; orange), Entner–Doudoroff pathways (EDP; purple), biomass synthesis (bm; inexperienced), additional uptake reactions (cyan), amino acid biosynthesis (blue), nucleotide biosynthesis (brown), NAD synthesis (violet), and biosynthesis of UDP N-acetylglucosamine (in yellow). Uptake was additionally allowed for all related included amino acids and nucleotides. Metabolite names not talked about earlier than are: Glcn6P: 6-phosphogluconate, Man6P: mannose 6P, PGP: phosphoglycerate, AcCoA: Acetyl-CoA, GlcNAc: N-acetylglucosamine, GlcNAcP: N-acetylglucosamine-phosphate, UDPGlcNAc: UDP N-acetylglucosamine, ORO: orotate, NCLA: N-carbamoyl-L-aspartate, FGAM: 5-phosphoribosyl-N-formylglycineamidine, GAR: 5-phosphoribosyl-glycineamide, AICAR: 5′-phosphoribosyl-5-amino-4-imidazole carboxamide, FAICAR: 5-formamido-1-(5-phospho-D-ribosyl)-imidazole-4-carboxamide, PRA: 1-(5-phospho-β-D-ribosyl)-AMP, IAP: 3-(imidazol-4-yl)-2-oxopropyl phosphate, KIV: 2-keto-isovalerate, THF: tetrahydrofolate, QUI: quinolinate. Amino acids and nucleotides in normal 3-letter abbreviations.

https://doi.org/10.1371/journal.pbio.3002198.s004

(TIF)

[ad_2]

LEAVE A REPLY

Please enter your comment!
Please enter your name here