Abstract
Glucose is a major nutrient in the insect vector stage of Leishmania parasites. Glucose transporter null mutants of L. mexicana exhibit profound phenotypic changes in both insect stage promastigotes and mammalian host stage amastigotes that reside within phagolysosomes of host macrophages. Some of these phenotypic changes could be either mediated or attenuated by changes in gene expression that accompany deletion of the glucose transporter genes. To search for changes in protein expression, the profile of proteins detected on two-dimensional gels was compared for wild type and glucose transporter null mutant promastigotes. A total of 50 spots whose intensities changed significantly and consistently in multiple experiments were detected, suggesting that a cohort of proteins is altered in expression levels in the null mutant parasites. Following identification of proteins by mass spectrometry, 3 such regulated proteins were chosen for more detailed analysis: mitochondrial aldehyde dehydrogenase, ribokinase, and hexokinase. Immunoblots employing antisera against these enzymes confirmed that their levels were upregulated, both in glucose transporter null mutants and in wild type parasites starved for glucose. Quantitative reverse transcriptase PCR (qRT-PCR) revealed that the levels of mRNAs encoding these enzymes were also enhanced. Global expression profiling using microarrays revealed a limited number of additional changes, although the sensitivity of the microarrays to detect modest changes in amplitude was less than that of two-dimensional gels. Hence, there is likely to be a network of proteins whose expression levels are altered by genetic ablation of glucose transporters, and much of this regulation may be reflected by changes in the levels of the cognate mRNAs. Some of these changes in protein expression may reflect an adaptive response of the parasites to limitation of glucose.
Keywords: Leishmania mexicana, Glucose transporter null mutant, Glucose starvation, Regulation of protein expression
1. Introduction
Leishmania are parasitic protozoa that exhibit two principal life cycle stages: promastigotes that live in the gut of the sand fly insect vector and amastigotes that live inside phagolysomal vesicles of vertebrate host macrophages. These two life cycle stages exhibit dramatically different morphologies, promastigotes being spindle shaped, flagellated organisms that are highly motile while amastigotes are oval shaped, non-motile forms that possess only a residual flagellum. These two developmental forms live in very distinct physiological environments. Promastigotes are extracellular, reside at the ambient temperature of the sand fly and at a pH that is close to neutrality [1], and are exposed to varying but often high levels of sugars in the sand fly gut [2]. Amastigotes are intracellular, are exposed to the more elevated temperature of the vertebrate and the acidic environment of the phagolysosome [3], and are thought to prevail in a relatively carbohydrate-poor environment [4]. Both life cycle stages are exposed to changes in their milieu, both during propagation and upon the developmental transformation between the two stages. Thus sugars are high in the sand fly gut following a plant nectar meal but drop to much lower levels following digestion of the sugar meal [2]. Similarly, amastigotes may experience changes in the level of carbohydrates available when they are released from the macrophage into the extracellular space following lysis of the host cell, especially in glucose rich serum, and they could be exposed to changes in available metabolites during residency within the macrophage. One fundamental but poorly understood aspect of parasite physiology concerns how these microorganisms adapt to changes in their environments and what molecular mechanisms they employ to mediate these adaptations.
Hexose uptake in L. mexicana and related Leishmania species is mediated by 3 hexose or ‘glucose’ transporters designated GT1, GT2, and GT3 that are encoded by a cluster of linked genes [5]. A null mutant, generated by targeted gene replacement of the GT1-GT3 gene cluster and designated Δlmgt [5], was deficient in measurable uptake of glucose, fructose, mannose, and galactose [6]. In addition, this glucose transporter null mutant exhibited profound metabolic and cellular changes, including substantially reduced levels of the mannose polymer and storage carbohydrate β-mannan [7], decreased cell size and protein content, and increased susceptibility to nutrient starvation, elevated temperature, and oxidative stress [6]. These alterations may explain in part why the null mutants did not survive following infection of murine primary macrophages or as culture form amastigotes [5,8].
Since the glucose transporter null mutants exhibit many phenotypic changes, one intriguing question is whether these genetically altered parasites also experience alterations in expression of mRNAs or proteins compared to wild type parasites. Such potential changes could represent either mechanisms for adaption to low hexose environments or they could play a role in the observed increased susceptibility to environmental stresses noted above. To determine whether there are changes in mRNA or protein expression in glucose transporter null mutants compared to wild type promastigotes, both parasite lines were subjected to protein profiling by two-dimensional gel analysis and mRNA profiling employing an oligonucleotide microarray. Significant changes in the levels of individual proteins and mRNAs have been detected.
2. Materials and methods
2.1 Parasite culture
Promastigotes of L. mexicana wild type (strain MNYZ/BZ/62/M379) or glucose transporter null mutant (Δlmgt) [5] derived from this wild type strain were cultured at 26°C in RPMI 1640 medium containing either 11 mM or no glucose (glucose-limited) and 10% heat-inactivated fetal bovine serum (FBS), which contained ~5 mM glucose before dilution. For many experiments, parasites were pelleted and washed in Dulbecco’s Phosphate Buffered Saline (PBS) (GIBCO Invitrogen). Stationary phase was achieved at a density of ~5 × 107 and ~2.5 × 107 cells ml−1 for wild type and Δlmgt parasites respectively. The concentration of glucose in glucose-limited medium was measured using the BioVision Glucose Assay Kit.
2.2 Two-dimensional gel electrophoresis
Parasites were grown to log phase (~1 × 107 cells ml−1) and cells (~ 1 × 109) were harvested by centrifugation at 2500 × g for 12 min, washed twice at 4°C in Tris buffer (10 mM Tris-HCl, pH 7.0; 25 mM sorbitol), and resuspended in cell lysis buffer (8 M urea, 2 M thiourea, 2% CHAPS, 5% Amberlite IRN-150L, 1 mM protease inhibitor cocktail, 65 mM dithiothreitol). Lysis was allowed to proceed for 2 h at room temperature with vortexing every 15 min, and samples were centrifuged to remove insoluble material. Protein concentration was assayed using the 2D Quant Kit (GE Healthcare). Total cell extracts were separated into aliquots and stored at −80°C. For gels analyzed by silver staining, 100 µg of protein were loaded leading to identification of ~1500 spots. For gels to be analyzed by Coomassie brilliant blue staining, 600 µg were loaded leading to identification of ~550 spots.
First dimension isoelectric focusing (IEF) was performed at 20°C using 18 cm IPG strips (GE Healthcare) applying pH ranges from 3–10, 4–7, 5–6, and 6–11. Protein extracts were purified using 2D Clean-up Kit (GE Healthcare), redissolved in 360 µl Destreak solution (GE Healthcare) containing 0.5% IPG buffer of the respective pH gradient, and loaded into 18 cm Immobiline Dry-strips in a ceramic strip holder. The maximum current setting was 30 µA per strip using the IPGphor Isoelectric Focusing unit (GE Healthcare). The strips were rehydrated for a minimum of 12 h at 20°C. After rehydration, the IEF run was carried out using the following conditions: 500 V for 500 Vhr, 1000 V for 1000 Vhr, 5000 V for 5000 Vhr, 6500 V for 9900 Vhr, 8000 V for 80,000 Vhr.
Strips were equilibrated in equilibration buffer (50 mM Tris-HCl, pH 8.8; 6 M urea, 30% glycerol, 2% SDS, 0.002% bromphenol blue) containing 65 mM dithiothreitol for 15 min and then in equilibration buffer containing 260 mM iodoacetamide for 15 min. Strips were then sealed on the top of 8 – 16% gradient acrylamide gel using 0.5% agarose in standard Tris-glycine electrophoresis buffer containing 0.002% bromphenol blue. Second dimension SDS-PAGE was run in a Hoefer DALT apparatus (GE Healthcare) at 14 °C and constant voltage of 100 V until the tracking dye reached the bottom of the gel. Gels were fixed and stained with AgNO3 or colloidal Coomassie brilliant blue G250 (Boerhinger Mannheim).
Stained gels were scanned with a Fuji FLA-5000 scanner (Fujitsu Computer Products of America), and the images were analyzed with Phoretix 2D Evolution software (Nonlinear Dynamics Ltd,). Two-dimensional gels of 8 independent samples per strain (wild type or Δlmgt null mutant) were averaged and compared.
2.3 Mass spectrometry of tryptic peptides
To identify proteins present in spots showing significant regulation between wild type and glucose transporter null mutant parasites, 21 regulated spots were excised using a One Touch Spot Picker (The Gel Company, San Francisco, CA), digested with trypsin, extracted, and submitted to the Oregon National Primate Research Center Proteomics Core Facility for peptide mass finger printing.
Tryptic digests were analyzed by electrospray ionization tandem mass spectrometry (LC-MS/MS) using a LCQ Deca XP Plus ion trap mass spectrometer (ThermoElectron). Peptide analysis utilized a 10 cm × 180 µm capillary column packed with Biobasic-C18 resin (Thermo Hypersil Keystone). Samples were applied to the column directly from the Surveyor autosampler (ThermoElectron) using a Surveyor sample pump at a flow rate of 1 µl per min. The peptides were eluted from the column using a mobile phase of 0.1% formic acid in water and a 30 min 0–50% acetonitrile gradient. Peptide ions were analyzed using data dependent scanning, where the MS was set to trigger data dependent MS/MS acquisition of the 3 most intense ions detected during the MS survey scan. Protein identifications were obtained using TurboSEQUEST software (ThermoElectron) by searching for matching peptide mass fingerprints in a protein database generated from the L. mexicana genome sequence (www.tritrypdb.org/tritryp). All peptides were identified with greater than 95% probability [9], and all proteins were assigned with greater than 99% probability [10] using Scaffold software (Version 2_06_00, Proteome Software), with an additional requirement that there were two or more unique peptides matched to each protein.
2.4 Antibodies
The open reading frames (ORFs) of mALDH and RK were amplified from L. mexicana genomic DNA using the polymerase chain reaction employing Pfu Taq polymerase (Stratagene) and oligonucleotide primers designed against the NH2- and COOH-terminal sequences of the corresponding ORFs from L major (LmjF25.1120 and LmjF27.0420, respectively). Amplified ORFs were cloned into the pET200 or PET30b(+) vectors for generation of 6x histidine-tagged fusion proteins, and recombinant proteins were purified by nickel column chromatography using Ni-NTA resin (Qiagen) according to the manufacturer’s instructions. Purified fusion proteins were sent to Cocalico Biologicals, Inc and employed to raise antisera in rabbits using the CBI standard protocol.
The anti-mALDH and anti-HK antibodies each produced a single band of ~55 kDa, that comigrated with the purified recombinant protein, on immunoblots of lysates of L. mexicana promastigotes when employed at a dilution of 1:10,000. Hence, these antisera were employed at these or higher dilutions without further purification. The anti-RK antiserum was affinity purified employing recombinant RK coupled to a Affi-Gel 10 (Bio Rad Laboratories) column, as described [11]. The affinity purified antibody produced a single band of ~34 kDa in immunoblots when employed at a 1:500 dilution.
2.5 Immunoblots
Promastigotes (~2 × 106) were lysed in Laemmli sample buffer [12], separated on a 10% SDS-polyacrylamide gel, and transferred onto a nitrocellulose membrane. Membranes were blocked with Infrared Imaging System Blocking Buffer (LI-COR Biosciences) for 1 h or overnight, incubated with crude serum of anti-mALDH or anti-HK (1:10,000 dilution) or affinity purified serum of anti-RK (1:500 dilution) in blocking solution for 1 h, washed 3 times with PBS containing 0.02% Tween-20, and then incubated with secondary antibody (goat anti-mouse IRDye 680 and goat anti-rabbit IRDye 800CW, LI-COR Biosciences) at a 1:20,000 dilution in Blocking Buffer followed by washing with PBS plus 0.02% Tween-20. Membranes were analyzed using a LI-COR Odyssey Infrared Imaging System with excitation at 685 nm and 785 nm and detection at 720 nm and 820 nm. Images (16-bit TIFF files) were quantified using the software provided with the Imaging System.
2.6 Pulse-labeling and immunoprecipitation
Wild type L. mexicana and glucose transporter null mutant promastigotes were grown to early logarithmic phase (4–8 × 106 cells ml−1) in RPMI 1640 medium supplemented with 10% heat-inactivated FBS. Parasites (1.5 × 108 promastigotes) were washed twice with Dulbecco Modified Eagle Medium containing high glucose but deficient for methionine and cysteine (GIBCO Invitrogen), resuspend in 1 ml of this medium, and incubated at 26°C for 1 h. [35S]methionine plus [35S]cysteine (400 µCi, Tran35S-Label, MP Biomedicals) was added and the cell suspension was incubated at 26°C for 2.5 h. Subsequently cells were washed 3 times with PBS and the cell pellet was resuspended in 1 ml Lysis Buffer (PBS containing 1.0% Triton X-100 and Protease Inhibitor Cocktail Tablets, Roche Diagnostics Corp), incubated on ice for 30 min with occasional vortexing, and centrifuged in a microcentrifuge at 13,000 rpm for 15 min at 4°C. Pre-immune serum was added to the cleared lysate followed by incubation at 4°C with rotation for 1 h. Pre-washed protein-A sepharose (Invitrogen) was added and incubated overnight to absorb background material followed by centrifugation at 13,000 rpm for 3 min. Anti-mALDH antiserum (10 µl undiluted) was added and incubated at 4°C for 4 h followed by incubation with pre-washed protein-A sepharose at 4°C overnight. Finally the beads were washed 3 times with Lysis Buffer. A 60 µl aliquot of 2 x Laemmli sample buffer was added to the pellet and samples were heated at 97°C for 10 min. Equal amounts of radioactive material from each immunoprecipitation were loaded onto a 10% SDS-polyacrylamide gel and separated by electrophoresis. Gels were fixed, dried, and exposed on a PhosphorImager S1 (Molecular Dynamics) for 5 days. Images were recorded and quantified using Quantity One Software (Bio-Rad Laboratories).
2.7 Protein half-life experiments
Cycloheximide (10 µg ml−1, a concentration that inhibited protein synthesis by >90%) was added to cultures of wild type and glucose transporter null mutant promastigotes (~1 × 107 cells ml−1) in RPMI 1640 plus 10% FBS. Aliquots were removed at the indicated time points and fractions representing ~2 × 106 cells analyzed by immunoblot as described above. Control experiments revealed that parasites treated with cycloheximide for 0, 5, 24, and 48 h had 0, 0, 2.1, and 5.0 % Trypan blue positive cells respectively. Cell number did not decrease significantly during this time period, and parasites maintained motility throughout a 48 h treatment.
2.8 Microarray experiments
A DNA microarray (N. Akopyants, E. Kruvand, and S.M. Beverley, manuscript in preparation and [8]), consisting of 12,841 oligonucleotides of length 68–72 nucleotides derived from the L. major genome, was designed and printed by the Washington University Microarray Facility. RNA was prepared from 4 biological replicates of wild type and glucose transporter null mutant promastigotes cultured at a density of ~4–6 ×106 cells ml−1. Total RNA was prepared using TRIzol and the instructions from the manufacturer (Invitrogen) followed by treatment with DNase (Qiagen DNase Kit) and further purification using the RNAeasy Kit (Qiagen). Hybridizations and data analysis were performed by the Washington University Microarray Facility as described [8,13] using a posthybridization labeling method that significantly reduced dye swap effects. For each pair of biological replicates, two slides were hybridized, one in which the wild type RNA had been labeled with the dye Cy3 and null mutant RNA with the dye Cy5 and another in which the dye labeling was swapped. For scanned slides, the data were spot found, normalized, and fused using BlueFuse software (BlueGnome). Data with a confidence of <0.2 were filtered out prior to final analysis.
2.9 Quantitative Real Time PCR (qRT-PCR)
qRT-PCR was performed as described in reference [14].
3. Results
3.1 Glucose transporter null mutants alter the expression of various proteins
To determine whether deletion of glucose transporter genes in L. mexicana resulted in global changes in protein expression, the constellation of cellular proteins observed on silver stained two-dimensional gels was compared for wild type and glucose transporter null mutant (Δlmgt) promastigotes. Figure 1A displays a composite electronic image, generated using Phoretix 2D software, in which spots from the wild type lysate are colored green and those from the glucose transporter null mutant are colored magenta. Thus spots that emerge as magenta in the composite image are upregulated and spots that emerge as green are downregulated when the null mutant parasites are compared to wild type parasites. In Fig. 1A, gels were analyzed from 8 independent pairs of wild type and null mutant parasites to identify spots that were consistently up- or downregulated in the deletion mutants. Quantitative analysis of relative spot intensities using Phoretix 2D software, in which gels were normalized to the total staining intensity of each gel, revealed 31 spots that were consistently upregulated in null mutants (6 of these spots were not detected in wild type parasites), and 19 spots that were consistently downregulated in null mutants. Quantification of the levels of changes in intensity for 21 of these spots (Table S1) revealed upregulation between 2–14-fold and downregulation between 2–6-fold. Graphic representations of 3 relevant regions (I–III) of these gels (Fig. 1B) display topographic illustrations of the spot intensities for wild type and null mutant lysates. The green numbers in each region designate spots whose intensity is consistently higher (all numbered spots except spot 1 in Box III) or lower (spot 1 in Box III) in null mutants compared to wild type parasites (identities of proteins in each spot are listed in the legend to Fig. 1). In these studies, a broad range pH dimension was employed to capture the largest number of potentially regulated proteins. However, less extensive analysis of gels covering pH ranges of 4–7, 5–6, 5.5–6.7, and 6–11 (not shown) also exhibited significant differences in spot profiles between wild type and null mutant lysates. Such changes in spot intensities could represent increases or decreases in the levels of individual proteins or changes in post-translational modifications (PTMs) that shift spot positions in one or both dimensions. Analysis of 3 regulated proteins discussed below reveal that these polypeptides are regulated at the level of protein and mRNA expression and, in once case, also by differential PTMs.
Fig. 1.
Two-dimensional gels from lysates of wild type (green) and Δlmgt glucose transporter null mutants (magenta). A. Lysates were separated on non-linear isoelectric focusing gels in the first dimension and gradient SDS-polyacrylamide gels in the second dimension. Numbers at the left indicate the positions of protein molecular weight standards, designated in kDa; numbers at the bottom indicate the pH of the first dimension. The figure represents a composite electronic image of the 8 gels of wild type lysates and 8 gels of Δlmgt glucose transporter null mutant lysates that were silver stained. B. Three regions of the gels, indicated by boxes I–III in part A, are presented as topographic images, where peak heights represent staining intensities. Images from the Δlmgt glucose transporter null mutant are shown at the left and wild type images are at the right. Blue outlines around peaks represent individual spots, as determined by Phoretix 2D software, and the numbers in green indicate peaks of interest within each box whose height differed significantly between Δlmgt and wild type parasites. The following proteins were identified by mass spectrometry in each spot: Box I: spot 1 – mALDH; Box II: spot 1 – D-LDH and RK, spot 2 – RK, spot 4 – mALDH; Box III: spot 1, nucleoside diphosphate kinase, spot 2 – mALDH, spot 3 – cyclophilin.
3.2 Identification of proteins whose expression levels change in glucose transporter null mutants
To obtain molecular identities for some of the spots with modified intensities, similar two-dimensional gels were run and stained with colloidal Coomassie brilliant blue, and selected spots were excised from gels (see supplemental Fig. S1 for examples) and analyzed by mass spectrometry. Several spots appeared to contain one predominant protein that contributes all or most of the peptides identified by LC-MS/MS (Supplemental Table S1): mitochondrial aldehyde dehydrogenase (3 spots, one absent in wild type and the others 2-fold or +2, and 7-fold or +7 upregulated in the null mutant as measured by relative Coomassie blue staining intensity), ribokinase (+7), and T complex binding protein β subunit (6-fold downregulated in null mutants, or −6). Another spot containing peptides from both D-lactate dehydrogenase and ribokinase showed especially strong upregulation (+14) in glucose transporter null mutants.
The two-dimensional gel analysis represents an initial screen for proteins potentially regulated in glucose transporter null mutants. To firmly establish the existence of regulated proteins, and to analyze mechanisms of regulation, several strongly regulated (7–14-fold upregulated in Δlmgt null mutants) candidates were selected for more detailed analysis. Mitochondrial aldehyde dehydrogenase (mALDH) and ribokinase (RK) represented the two most strongly upregulated proteins with predominant protein identifications by mass spectrometry. Concurrently, preliminary work by two of the co-authors (P.K.U. and A.J.) using an antibody against the glycolytic enzyme hexokinase (HK) indicated that the levels of this protein were upregulated by glucose starvation of L. major and L. donovani parasites and hence might represent an additional marker for proteins whose expression is enhanced in the null mutants. Consequently, these 3 proteins (mALDH, RK, and HK) were selected for more detailed studies to examine regulation of protein expression in glucose transporter null mutants. D-LDH was also investigated but was not regulated in glucose transporter null mutants compared to wild type parasites, as determined by immunoblot analysis (not shown).
3.3 Confirmation of regulation using specific antibodies
Antibodies generated against recombinant mALDH, RK, and HK all recognized a single predominant band of the predicted molecular weight on immunoblots of L. mexicana lysates (Fig. 2A). Furthermore, an immunoblot from parasites expressing a mALDH-GFP fusion protein reacted with both the ~54 kDa mALDH and the ~84 kDa mALDH-GFP band, further confirming specificity of this antiserum (Fig. 2A, left panel). Immunoblots employing these antisera (Fig. 2B) revealed that mALDH, RK, and HK are upregulated 7.4 ± 3.3 (n = 4, p<0.001), 6.7 ± 3.3 (n = 8, p<0.001), and 2.0 ± 0.4 (n = 6, p<0.01) -fold in glucose transporter null mutants compared to wild type promastigotes. Furthermore, complementation of the null mutant with an episomal expression vector encompassing the L. mexicana GT2 gene reduced expression of these proteins close to wild type levels. These experiments confirm i) that expression levels of these proteins are regulated in null mutants compared to wild type parasites, as suggested from the two-dimensional gel data, and ii) that this regulation is linked to the genetic ablation of the glucose transporter genes and not to some other adventitious genetic alteration that occurred during the process of targeted gene replacement.
Fig. 2.
Quantification of expression of mALDH, ribokinase, and hexokinase in wild type and Δlmgt null mutants with monospecific antibodies. A. Characterization of antisera by immunoblotting. The mALDH antibody (left panel) was used to probe an immunoblot of lysates from wild type parasites (mALDH) and lysates from parasites expressing a mALDH-GFP fusion protein from an episomal expression vector. Ribokinase (middle) and hexokinase (right) antibodies were employed to probe blots of lysates from Δlmgt parasites. B. Relative expression levels of mALDH, ribokinase, and hexokinase were quantified in 1, wild type (WT); 2, Δlmgt null mutants; and 3, Δlmgt[pGT2] complemented null mutants by immunoblot analysis. Blots (top) were probed with each of the 3 antibodies and with anti-α-tubulin antibody as a normalization control, and the normalized values were plotted (bottom) setting the relative level of expression in wild type parasites to 1.0. Values represent the mean and standard deviation of n independent measurements (mALDH, n = 4; ribokinase, n = 8; hexokinase, n = 6). The statistical significance of the difference in protein expression compared to the Δlmgt null mutant was determined using Student’s t-test (**, p < 0.01; ***, p < 0.001).
In addition, localization of mALDH-GFP by fluorescence microscopy revealed that this fusion protein colocalized extensively with the mitochondrial-specific dye MitoTracker® (data not shown), confirming that this enzyme is the mitochondrial isoform of ALDH.
3.4 Upregulation of mALDH, RK, and HK correlates with increased mRNA levels
To determine whether upregulation of these 3 proteins was the result of increased levels of their cognate mRNAs, the mRNA levels in wild type and glucose transporter null promastigotes were quantified by qRT-PCR using 4 biologically independent preparations of RNA from wild type and Δlmgt null mutants. Table 1 reveals that the mRNAs encoding these 3 enzymes were indeed increased in glucose transporter null mutants (4.1 ± 0.5, p<0.001; 2.2 ± 0.8, p<0.01; 1.7 ± 0.6, p<0.01 -fold respectively). In addition, the levels of mRNAs for several other enzymes of the glycolytic (glucokinase, phosphofructokinase and pyruvate kinase) and gluconeogenic (fructose 1,6-bisphosphatase, phosphoenolpyruvate carboxykinase, pyruvate phosphate dikinase) pathways were measured to determine whether they might respond to genetic ablation of the glucose transporter genes. No significant differences were noted in the levels of these mRNAs with the exception of pyruvate phosphate dikinase that was upregulated ~2-fold (p<0.01). These results indicate that the regulation of mALDH, RK, HK, and likely other proteins in the glucose transporter null mutants, occurs at least in part at the level of mRNA abundance.
Table 1.
Quantification of relative mRNA levels (average (Av) ± standard deviation (SD)) by qRT-PCR for various genes in Δlmgt null mutants compared to wild type (WT) L. mexicana promastigotes. Four biological replicates of RNA were prepared from WT and Δlmgt parasites (Rep 1–4). Numbers in the penultimate column represent the average and standard deviations from Reps 1–4. Systematic ID refers to the gene designation in the L. major genome database (www.genedb.org). For analysis of GP63 mRNAs, one primer set (GP63*) represents sequences that are identical in all 5 alleles present in the GP63 gene cluster on chromosome 10 of L. mexicana (LmxM 10.0390, LmxM 10.0405, LmxM 10.0460, LmxM 10.0465, LmxM 10.0470, which correspond to the LmjF genes in the chromosome 10 cluster shown in the table), and the second primer set (GP63**) represents sequences unique to a GP63 gene on chromosome 28 (LmxM28.0570). To determine p values for multiple qRT-PCR measurements of a particular mRNA, ΔCt values (Ct, threshold cycle, of reference rRNA gene minus Ct of target gene) were calculated for each of the 4 qRT-PCR measurements for both WT and Δlmgt RNAs. These 4 ΔCt values were then analyzed using an unpaired Student’s t-test. ‘ns’ means not significant.
| Gene | Systematic ID | Av ± SD Reps 1–4 Δlmgt/WT |
p Values |
|---|---|---|---|
| mALDH | LmjF25.1120 | 4.1 ± 0.5 | p<0.001 |
| Ribokinase | LmjF27.0420 | 2.2 ± 0.8 | p<0.01 |
| Hexokinase | LmjF21.0240 LmjF21.0250 |
1.7 ± 0.6 | p<0.05 |
| Glucokinase | LmjF36.2320 | 1.1 ± 0.1 | ns |
| Phosphofructokinase | LmjF29.2510 | 1.0 ± 0.1 | ns |
| Pyruvate kinase | LmjF35.0020 LmjF35.0030 |
−1.5 ± 0.4 | ns |
| Fructose 1,6-biphosphatase | LmjF04.1160 | 1.3 ± 0.1 | ns |
| PEPCK | LmjF27.1810 | 1.3 ± 0.5 | ns |
| PPDK | LmjF11.1000 | 2.0 ± 0.3 | p<0.01 |
| Serine hydroxymethyltransferase | LmjF14.1320 | 7.7 ± 3.0 | p<0.01 |
| Hypothetical protein – Chr 29 | LmjF29.2800 | 4.5 ± 2.4 | p<0.05 |
| Hypothetical protein – Chr 29 | LmjF29.2870 | 8.9 ± 3.0 | p<0.001 |
| GP63*(Chr10 cluster) | LmjF10.0460 LmjF10.0465 LmjF10.0470 LmjF10.0480 |
−3.7 ± 1.3 | p<0.05 |
| GP63** (LmxM28.0570) | LmjF28.0570 | −1.5 ± 0.5 | p<0.05 |
3.5 mRNA expression profiling of wild type and glucose transporter null mutants
To analyze at a global level the possible changes in mRNA levels that might accompany ablation of the glucose transporter genes, mRNA expression profiling was performed on wild type and null mutants employing an oligonucleotide microarray containing sequences designed from the genome of the closely related parasite L. major. This microarray [8] provides ~99% coverage of the predicted open reading frames. The use of a heterologous microarray is justified both by the high degree of sequence identity between open reading frames of distinct Leishmania species [15] and by the successful use of this microarray in comparative genomic hybridization studies utilizing genomic DNAs from different mutant lines of L. mexicana [8]. Hybridizations were performed with 4 sets of biological replicates each from wild type and null mutant promastigotes. Table 2 reports mRNAs whose levels were either upregulated or downregulated 2-fold or more, in 3 of the 4 replicates, in null mutants compared to wild type parasites. The first striking result is that among the ~8,300 protein-coding and ~700 RNA-coding genes in the Leishmania genome [16], very few RNAs were detectably regulated: 22 were upregulated and 3 were downregulated 2-fold or more. One of the most strongly regulated mRNAs was that encoding the cytosolic isoform of serine hydroxymethyltransferase (SHMT, LmjF 14.1320), which experienced an upregulation in the null mutant with a log2 value of ~2.6. Most of these RNAs were altered in level by a small degree, typically a log2 value of ~1.5 or less, and only 5 RNAs are altered by a log2 value of 2 or more. Among the 21 upregulated RNAs, 11 are derived from a segment of chromosome 29 that is amplified 7.45 ± 0.88-fold (n = 7) in the glucose transporter null mutant [8]. Thus, these 11 mRNAs are upregulated (from log2 values of 1.21 for LmjF29.2780 to 2.81 for LmjF29.2850) as a consequence of a gene amplification, which represents a secondary genetic alteration in the null mutant accompanying replacement of the glucose transporter genes. As expected for transcripts that are not present in the Δlmgt line, mRNAs from the GT1–3 glucose transporter locus, LmjF36.6280–6300, were strongly downregulated (log2 of −3.14) in the null mutant. The detection of a finite ratio of signal for GT mRNAs when wild type and null mutants are compared is consistent with results from other null mutant hybridizations employing these arrays (Kruvand, E. and Beverley, S.M., unpublished observations) and is indicative of a residual background signal for hybridization to the relevant oligonucleotide in the absence of the corresponding mRNA. In addition, the mRNAs for the major surface glycoprotein GP63 experienced a small (maximum log2 of −1.12) reduction. However, it appears that the majority of proteins whose expression levels are altered in the null mutant did not exhibit a detectable alteration in the levels of their mRNAs when monitored by microarray analysis. In particular, this method did not detect alterations in the levels of mRNAs encoding proteins identified by two-dimensional gel analysis (Table S1). These effects probably reflect ‘compression’ of the microarray signal that often decreases differential signal intensity in microarray hybridizations [17] and imply that the microarray experiments were less sensitive in their ability to detect modest changes in mRNA levels than is qRT-PCR. To provide an overview, Table 3 summarizes the alterations detected for several proteins, employing immunoblots, and their mRNAs as determined both by qRT-PCR and microarrays.
Table 2.
Results of microarray experiments employing RNA from wild type (WT) and Δlmgt null mutants. Genes are shown in which the average Δlmgt/WT signal intensity was upregulated (A) or downregulated (B) by 2-fold (log2 of 1.0) or more in at least 3 out of 4 replicates performed with the same 4 distinct biological preparations of RNA employed in Table 1. Log2 values are reported as the average (Av) ± standard deviation (SD) for the 4 replicates. Name/ID refers to the oligonucleotide employed in hybridization for each gene, Systematic ID is the GeneDB (www.genedb.org) designation for the L. major gene corresponding to the oligonucleotide probe, and the Annotation refers to the gene function or identity as catalogued in TriTrypDB (tritrypdb.org) version 2.2.
| A) Up by 2-fold or more in Δlmgt/WT in 3 out of 4 replicates | |||
|---|---|---|---|
| Name/ID | Systematic ID | Annotation TriTrypDB v1.3 | (log2 values) Av ± SD Reps 1–4 Δlmgt/WT |
| LMFV1.359 | LmjF14.1320 | serine hydroxymethyltransferase, putative (cytosolic) |
2.59 ± 0.90 |
| LMFV1.9362 | LmjF23.snRNA.02 | small nuclear RNA, U3 snRNA | 1.79 ± 0.96 |
| LMFV1.1230 | LmjF25.1470 | cyclin | 1.92 ± 0.96 |
| LMFV1.5560 | LmjF27.0800 | hypothetical protein, conserved | 1.03 ± 0.11 |
| LMFV1.429 | LmjF29.1210 | hypothetical protein, conserved | 1.33 ± 0.35 |
| LMFV1.4979 | LmjF32.0240 | hypothetical protein, conserved | 1.18 ± 0.05 |
| LMFV1.9696 | LmjF33.2360 | hypothetical protein, conserved | 2.29 ± 0.13 |
| LMFV1.3951 | LmjF34.2780 | 40S ribosomal protein S19 protein, putative |
1.44 ± 0.18 |
| LMFV1.9804 | LmjF35.0680 | hypothetical protein, conserved | 1.52 ± 0.41 |
| LMFV1.6558 | LmjF36.5760 | hypothetical protein, conserved | 1.15 ± 0.41 |
| LMFV1.10977 | LmjF36.snRNA.01 | small nuclear RNA, U4 snRNA | 1.40 ± 0.35 |
| Genes on Chromosome 29 Amplicon | |||
| LMFV1.10828 | LmjF29.2740 | actin-like protein, putative | 1.49 ± 0.44 |
| LMFV1.10276 | LmjF29.2760 | hypothetical protein, conserved | 1.53 ± 0.35 |
| LMFV1.11311 | LmjF29.2770 | hypothetical protein, conserved | 1.56 ± 0.32 |
| LMFV1.10575 | LmjF29.2780 | mitochondrial carrier-like protein | 1.21 ± 0.17 |
| LMFV1.9373 | LmjF29.2800 | inosine-adenosine-guanosine- nucleoside hydrolase, putative |
1.22 ± 0.34 |
| LMFV1.11158 | LmjF29.2820 | hypothetical protein, conserved | 1.24 ± 0.26 |
| LMFV1.9852 | LmjF29.2830 | hypothetical protein, conserved | 1.25 ± 0.07 |
| LMFV1.10563 | LmjF29.2840 | hypothetical protein, conserved | 1.88 ± 0.22 |
| LMFV1.9954 | LmjF29.2850 | hypothetical protein, conserved | 2.81 ± 0.27 |
| LMFV1.10159 | LmjF29.2860 | 40S ribosomal protein S19-like protein |
1.59 ± 0.25 |
| LMFV1.10869 | LmjF29.2870 | hypothetical protein, conserved | 2.66 ± 0.37 |
| B) Down by 2-fold or more in Δlmgt/WT | |||
| LMFV1.6722 | LmjF10.0480 | GP63, leishmanolysin | −1.10 ± 0.23 |
| LMFV1.6792 | LmjF10.0480 | GP63, leishmanolysin | −1.12 ± 0.22 |
| LMFV1.6821 | LmjF10.0480 | GP63, leishmanolysin | −1.07 ± 0.21 |
| LMFV1.8603 | LmjF35.snoRNA.0049 | LM35Cs4H1 | −0.97 ± 0.15 |
| LMFV1.6628 | LmjF36.6280, LmjF36.6290, LmjF36.6300 |
LmjGT1, LmjGT2, LmjGT3 glucose transporters |
−3.14 ± 0.30 |
Table 3.
Comparison of increases in levels of proteins, measured by immunoblots, and/or mRNAs, quantified by qRT-PCR and microarray analysis. Data were assembled from Tables 1, 2, and Supplementary Table S1 and are reported as the average ± standard deviation. ND in the immunoblot column indicates ‘not determined’ since no antibodies are available against these proteins. NCD in the microarray column designates ‘no change detected’.
| Protein Name | Systematic ID | Protein Increase Immunoblot |
mRNA Increase qRT-PCR |
mRNA Increase Microarray |
|---|---|---|---|---|
| mALDH | LmjF25.1120 | 7.4 ± 3.3 | 4.1 ± 0.5 | NCD |
| Ribokinase | Lmj27.0420 | 6.7 ± 3.3 | 2.2 ± 0.8 | NCD |
| Hexokinase | LmjF21.0240 LmjF21.0250 |
2.0 ± 0.4 | 1.7 ± 0.6 | NCD |
| Serine hydroxymethyltransferase (cytosolic isoform) |
LmjF14.1320 | ND | 7.7 ± 3.0 | 6.8 ± 3.5 |
| Hypothetical protein – Chr 29 | LmjF29.2800 | ND | 4.5 ± 2.4 | 2.4 ± 0.54 |
| Hypothetical protein – Chr 29 | LmjF29.2870 | ND | 8.9 ± 3.0 | 6.5 ± 1.6 |
3.6 Regulation of mALDH, RK, and HK by glucose starvation
It is possible that many of the changes in protein expression observed in the glucose transporter null mutant are the result of glucose limitation within parasites that can no longer import this nutrient. To determine whether mALDH, RK, and HK are upregulated by glucose starvation, we quantified the levels of these proteins in wild type parasites that had been transferred from glucose-replete to glucose-limited medium (RPMI medium plus 10% FBS with or without 11 mM glucose). In glucose-limited medium, the initial measured glucose was ~1 mM at the beginning (day 0) of the experiment, but glucose had decreased to an undetectable level by day 2. Figure 3A shows expression of mALDH in wild type L. mexicana promastigotes that were inoculated into glucose-replete or glucose-limited medium. Glucose-replete parasites maintained the initial level of mALDH expression, whereas parasites inoculated into glucose-limited medium experienced an ~8-fold upregulation of mALDH by day 4. The absolute degree of mALDH induction varied from one experiment to another from ~3-fold to ~8-fold for reasons that were not clear, but a pronounced increase of this protein was always observed. Figures 3B and 3C show similar experiments for RK and HK and confirm that expression of these proteins is enhanced by glucose starvation as well.
Fig. 3.
Quantification of induction of mALDH (A), ribokinase (B), and hexokinase (C) in wild type parasites cultured in glucose-replete (11 mM glucose, 10% FBS) or glucose-limited (no added glucose, 10% FBS) RPMI medium. Immunoblots were probed with each antibody and with anti-α-tubulin antibody, the signals were normalized to that of α-tubulin, and the relative levels were plotted. The amount of each protein present at day 0 was set to a value of 1.0. Data represent mean and standard deviation of n independent measurements (mALDH, n = 4; ribokinase, n = 4; hexokinase, n = 3).
Transport of other substrates by the L. mexicana glucose transporters, such as fructose, mannose, galactose [6] and ribose [18], is eliminated in the Δlmgt null mutant, and as such the decreased levels of these nutrients in the null mutant could trigger induction of some of the regulated proteins. Thus the level of RK, a ribose-metabolizing enzyme, might in principle be upregulated by reduction of intracellular ribose in the Δlmgt parasites. However, the induction of mALDH, RK, and HK specifically by glucose limitation (Fig. 3 A–C) confirms that this sugar is a principal determinant for regulation of these proteins.
3.7 Comparison of protein synthesis and protein turnover in wild type and glucose transporter null mutants
The preceding results indicate that the level of expression of mALDH, RK, and HK are regulated significantly by glucose limitation at the mRNA level, although smaller effects of protein stability or translational control could be operative. To investigate these possibilities, the relative rate of protein turnover in wild type and glucose transporter null mutants was examined by inhibiting translation by >90% with cycloheximide and following the level of each protein by immunoblotting. For each of the 3 proteins, degradation was very limited within a time course covering the first 24 hours following drug treatment, and no significant differences were observed between wild type and null mutant cells (data not shown). Within the limitations of any drug treatment experiment, these data suggest that regulation of these 3 proteins by glucose availability does not occur at the level of protein degradation.
Relative rates of protein synthesis can be approximated by labeling with [35S]methionine/[35S]cysteine followed by quantification of label incorporated into each protein by immunoprecipitation. These experiments were attempted for mALDH and RK, the two proteins with the largest level of induction. Figure 4 shows the results for an [35S] labeling – immunoprecipitation experiment employing the anti-mALDH antibody and equivalent amounts of radiolabeled lysates from wild type and glucose transporter null mutant promastigotes. Two such experiments revealed a 4.5- and a 6.8-fold induction in the band intensity of the ~54 kDa radiolabeled band, indicating the mALDH is upregulated at the level of protein synthesis to approximately the same degree that its mRNA level is upregulated. Similar experiments using the anti-RK antiserum did not produce a clear pattern of immunoprecipitation, preventing quantitative measurement of synthesis for this protein.
Fig. 4.
Relative rates of synthesis of mALDH were determined in wild type (WT) and Δlmgt null mutants by pulse labeling followed by immunoprecipitation. mALDH is the band at ~55 kDa (arrow), and the doublet between ~36–40 kDa represents non-specifically precipitated proteins that serve as controls for synthesis and loading. Numbers at the left represent protein molecular weight markers in kDa.
3.8 Probable post-translational modifications of RK in the Δlmgt null mutant
In the initial evaluation of protein expression in wild type and Δlmgt parasites employing two-dimensional gels (Fig. 1), RK was detected in two distinct spots (K1 and K2, Supplementary Table S1) whose intensities increased considerably in the glucose transporter null mutant. These results raised the possibility that RK might experience PTMs that occur differentially between wild type and null mutant parasites. To investigate this possibility, lysates from wild type, Δlmgt, and Δlmgt[pGT2] parasites were separated on two-dimensional gels, blotted onto nitrocellulose filters, and probed with the anti-RK antibody. As illustrated in Fig. 5, RK was represented by two major spots and several weak spots in blots from wild type parasites but by 6 strong spots in blots from the Δlmgt null mutants. All 6 spots migrated as a train at the same apparent molecular weight, but most of the spots that appeared selectively in the null mutants focused at a more basic pI compared to those present in the wild type lysates. Furthermore, complementation of the null mutants with an episomal copy of the GT2 gene resulted in a large decrease in the intensity of the spots that were selectively increased in the null mutant, indicating that the induction of these new species indeed resulted from deletion of the glucose transporters.
Fig. 5.
Immunoblots of two-dimensional gels probed with anti-ribokinase antibody. Lysates were prepared from wild type, Δlmgt, and Δlmgt[pGT2] parasites (indicated at the right). The position of a 35 kDa molecular weight marker is indicated at the left, and the approximate pH of the isoelectric focusing dimension is indicated by the numbers at the top. These results were reproduced in 3 independent experiments.
The preceding observations suggest that RK is probably differentially modified at the post-translational level in glucose transporter null mutants. Currently we do not know the nature of these PTMs, but ultimately it may be possible to identify them by mass spectrometric analysis. Similar immunoblots probed with the anti-mALDH antibody resulted in multiple spots in lysates from both wild type and null mutant parasites, but all spots were upregulated to a similar degree in null mutants compared to wild type parasites (not shown) suggesting that there is no differential regulation of PTMs for this protein.
4. Discussion
Leishmania parasites are exposed to pronounced changes in environment during their life cycle, including changes in the availability of central nutrients such as glucose, and responding to such changes appropriately is necessary for survival and successful transformation between developmental stages. Nonetheless, how these or related kinetoplastid parasites sense and respond to their environment is currently largely a mystery. The existence of a glucose transporter null mutant for L. mexicana provided an opportunity to probe how these parasites respond to reduction of glucose availability via genetic ablation of hexose permeases. To examine alterations in the glucose transporter null mutants, we monitored global changes in expression of proteins by two-dimensional gels and, more comprehensively, mRNAs by microarray analysis.
Analysis of protein expression in wild type and glucose transporter null mutants by two-dimensional gels allowed the observation of a significant number of silver stained spots whose intensities changed between wild type and null mutant parasites. This observation implies that there exists a network of proteins whose expression levels are altered by ablation of the glucose transporter genes. Identification of proteins in such spots by mass spectrometry allowed the selection of 3 glucose-regulated proteins (GRPs) that were studied in greater detail. Monospecific antibodies were raised against these 3 GRPs to confirm their regulation both by transporter gene ablation and by glucose limitation in wild type parasites. While some of the changes observed on two-dimensional gels could represent alterations in PTMs, the pronounced changes in protein expression levels detected on immunoblots for mALDH, RK, and HK (Fig. 2) indicate that these enzymes are indeed regulated at the level of protein abundance. Quantification by qRT-PCR revealed that the cognate mRNAs were upregulated in glucose transporter null mutants to a similar degree as the proteins. Hence, at least for these GRPs, much of the regulation appears to occur at the level of mRNA abundance. Comparison of the mRNA sequences for mALDH, RK, and SHMT, the 3 most strongly regulated mRNAs, using the MEME search algorithm [19,20] revealed 2 sequences in the 5’ flanks (shared motifs of 29 and 32 nts within 250 nucleotides upstream from each ORF), 3 sequences within the ORFs (shared motifs of 8, 13, and 18 nts), and 3 sequences within the 3’-flanks (shared motifs of 18, 22, and 44 nts, all located within 1.8 kb downstream of the ORF) that were conserved among all 3 mRNAs. Future studies will be required to determine whether any of these sequences serve functions in glucose-regulated expression of these mRNAs.
Previously reported [8] comparative genomic hybridization experiments revealed several unanticipated changes in chromosomal and subchromosomal copy number between wild type and Δlmgt parasites. In addition to the aforementioned amplification of a subregion of chromosome 29 encompassing 15 genes, the intact chromosomes 3, 16, 23, and 27 experienced an increase and chromosome 31 a decrease in copy number in the null mutants compared to wild type parasites, although the absolute changes in levels of individual chromosomes were small possibly representing loss or amplification of a single chromosome copy. These latter alterations in ploidy could also induce changes in the levels of mRNAs and proteins encoded within these aneuploid chromosomes, and it is possible that some of the modest changes in protein expression observed on two-dimensional gels could be explained by these genetic alterations. Nonetheless, the ability of the complemented GT2 gene to reverse changes in expression of the 3 GRPs studied here, as well as the capacity of glucose limitation of wild type parasites to induce similar changes to those seen in the null mutants, indicates that significant changes in protein expression are directly linked to the absence of glucose transporter activity.
Microarrays were employed to measure global differences in mRNA levels between wild type parasites and glucose transporter null mutants. Although a limited number of changes were detected using this approach, the microarray experiments are useful in two regards. First, they did detect several mRNAs that were significantly upregulated (log2 values of 1.03 – 2.59, Table 2) in the Δlmgt null mutants, most notably those for SHMT, cyclin, and several hypothetical conserved proteins. Second, the global nature of microarray analysis implies that there is not a large body of mRNAs that experience increases of ~4-fold or greater in their mRNA levels in the null mutants. Although the microarrays are less sensitive in their ability to detect modest changes in expression compared to two-dimensional gels or qRT-PCR, they are much more comprehensive in their ability to interrogate the entire transcriptome for more robust changes in mRNA expression.
The observation of multiple differentially regulated spots that react with the anti-RK antibody on two-dimensional immunoblots (Fig. 5) suggests that these parasites may selectively modify various proteins under conditions of glucose limitation. A potentially large role for PTMs in differential function of gene products is raised by the diminished role that transcriptional regulation plays in Leishmania and related kinetoplastid protozoa [21] and the consequent need for other mechanisms to take over as modulators of gene function. Hence, a more comprehensive examination of differential PTMs in glucose-limited parasites is warranted.
In mammalian cells a family of GRPs, whose expression levels were strongly upregulated by glucose starvation, was identified many years ago [22]. These proteins are regulated as part of a more general mammalian stress response and include endoplasmic reticulum chaperones such as Grp78, also referred to as BiP [23]. Western blot analysis of lysates from wild type and Δlmgt parasites, using an antibody directed against BiP from Trypanosoma brucei [24], revealed no enhancement of L. mexicana BiP expression in the null mutants (data not shown). Hence, BiP does not appear to be a GRP in Leishmania parasites.
It is appropriate to speculate about the possible reasons for regulation of protein expression in parasites exposed to limiting glucose. Upregulation of the 3 proteins that are the focus of this study could represent a compensatory response of the parasite to the consequences of glucose deprivation. One likely result of glucose limitation is a decrease in synthesis of ribose 5’-phosphate that is synthesized from glucose via the pentose phosphate pathway [25]. Ribokinase could provide an alternate route for synthesis of this metabolite via phosphorylation of the free sugar. Upregulation of hexokinase could represent a way for the parasite to utilize limiting glucose more efficiently by increasing the level of the first enzyme in the glycolytic pathway. We have shown previously that Δlmgt null mutants are more sensitive than wild type parasites to oxidative stress, possibly due to decreased synthesis of NADPH via the pentose phosphate pathway [6]. In several mammalian systems, increased mALDH activity protected against oxidative stress [26], and decreased activity increased susceptibility to oxidative stress [27,28]. Hence, increased expression of mALDH might protect Leishmania parasites against oxidative stress during glucose limitation. SMHT converts glycine to serine, a glucogenic amino acid (http://themedicalbiochemistrypage.org/amino-acid-metabolism.html). Hence, the observed enhancement in SMHT mRNA (Tables 1 and 2) could enable increased utilization of glycine for gluconeogenesis during glucose limitation. While these suggestions are speculative, they raise the possibility that a network of proteins regulated in response to glucose limitation could represent a strategy, on the part of this parasite, to accommodate inevitable fluctuations in nutrient availability and the metabolic and cellular consequences of such limitation. However, the reasons for altered expression of other proteins (e.g., the T-complex component, Supplementary Table S1) or RNAs (e.g. two snRNAs, Table 2) in Δlmgt null mutants are not clear.
In summary, the expression of multiple proteins is up- or downregulated by glucose limitation in Leishmania parasites. Detailed analysis of 3 characteristic GRPs revealed that significant regulation is exerted at the level of abundance of the cognate mRNAs. Differential post-translational modification also likely occurs in response to limited glucose availability.
Supplementary Material
Acknowledgements
This work was supported by grant number AI25920 (SML) and AI29646 (SMB) from the NIH.
Abbreviations
- qRT-PCR
quantitative real time polymerase chain reaction
- PBS
phosphate buffered saline
- IEF
isoelectric focusing
- MS
mass spectrometry
- mALDH
mitochondrial aldehyde dehydrogenase
- RK
ribokinase
- HK
hexokinase
- D-LDH
D-lactate dehydrogenase
- FBS
fetal bovine serum
- ORF
open reading frame
- LC
liquid chromatography
- GRP
glucose-regulated protein
- kDa
kilodaltons
- PTM
post-translational modification
- SHMT
serine hydroxymethyltransferase
- UTR
untranslated region
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.do Vale VF, Pereira MH, Gontijo NF. Midgut pH profile and protein digestion in the larvae of Lutzomyia longipalpis. J Insect Physiol. 2007;53:1151–1159. doi: 10.1016/j.jinsphys.2007.06.005. [DOI] [PubMed] [Google Scholar]
- 2.Schlein Y. Sandfly diet and Leishmania. Parasitol. Today. 1986;2:175–177. doi: 10.1016/0169-4758(86)90150-x. [DOI] [PubMed] [Google Scholar]
- 3.Antoine JC, Prina E, Jouanne C, Bongrand P. Parasitophorous vacuoles of Leishmania amazonensis-infected macrophages maintain an acidic pH. Infect Immun. 1990;58:779–787. doi: 10.1128/iai.58.3.779-787.1990. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.McConville MJ, de Souza D, Saunders E, Likic VA, Naderer T. Living in a phagolysosome; metabolism of Leishmania amastigotes. Trends Parasitol. 2007;23:368–375. doi: 10.1016/j.pt.2007.06.009. [DOI] [PubMed] [Google Scholar]
- 5.Burchmore RJS, Rodriguez-Contreras D, McBride K, Merkel P, Barrett MP, Modi G, Sacks DL, Landfear SM. Genetic characterization of glucose transporter function in Leishmania mexicana. Proc. Natl. Acad. Sci. U S A. 2003;100:3901–3906. doi: 10.1073/pnas.0630165100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rodriguez-Contreras D, Feng X, Keeney KM, Bouwer HG, Landfear SM. Phenotypic characterization of a glucose transporter null mutant in Leishmania mexicana. Mol Biochem Parasitol. 2007;153:9–18. doi: 10.1016/j.molbiopara.2007.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rodriguez-Contreras D, Landfear SM. Metabolic changes in glucose transporter-deficient Leishmania mexicana and parasite virulence. J Biol Chem. 2006;281:20068–20076. doi: 10.1074/jbc.M603265200. [DOI] [PubMed] [Google Scholar]
- 8.Feng X, Rodriguez-Contreras D, Buffalo C, Bouwer A, Kruvand E, Beverley SM, Landfear SM. Amplification of an alternate transporter gene suppresses the avirulent phenotype of glucose transporter null mutants in Leishmania mexicana. Mol Microbiol. 2008;71:369–381. doi: 10.1111/j.1365-2958.2008.06531.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Keller A, Nesvizhskii AI, Kolker E, Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem. 2002;74:5383–5392. doi: 10.1021/ac025747h. [DOI] [PubMed] [Google Scholar]
- 10.Nesvizhskii AI, Keller A, Kolker E, Aebersold R. A statistical model for identifying proteins by tandem mass spectrometry. Anal Chem. 2003;75:4646–4658. doi: 10.1021/ac0341261. [DOI] [PubMed] [Google Scholar]
- 11.Piper RC, Xu X, Russell DG, Little BM, Landfear SM. Differential targeting of two glucose transporters from Leishmania enriettii is mediated by an NH2-terminal domain. J. Cell. Biol. 1995;128:499–508. doi: 10.1083/jcb.128.4.499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sambrook J, Fritsch EF, Maniatis T. Molecular Cloning: A Laboratory Manual. Cold Spring Harbor, N.Y.: Cold Spring Harbor Laboratory; 1989. [Google Scholar]
- 13.Akopyants NS, Matlib RS, Bukanova EN, Smeds MR, Brownstein BH, Stormo GD, Beverley SM. Expression profiling using random genomic DNA microarrays identifies differentially expressed genes associated with three major developmental stages of the protozoan parasite Leishmania major. Mol Biochem Parasitol. 2004;136:71–86. doi: 10.1016/j.molbiopara.2004.03.002. [DOI] [PubMed] [Google Scholar]
- 14.Ortiz D, Sanchez MA, Quecke P, Landfear SM. Two novel nucleobase/pentamidine transporters from Trypanosoma brucei. Mol Biochem Parasitol. 2009;163:67–176. doi: 10.1016/j.molbiopara.2008.09.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Peacock CS, Seeger K, Harris D, Murphy L, Ruiz JC, Quail MA, Peters N, Adlem E, Tivey A, Aslett M, Kerhornou A, Ivens A, Fraser A, Rajandream MA, Carver T, Norbertczak H, Chillingworth T, Hance Z, Jagels K, Moule S, Ormond D, Rutter S, Squares R, Whitehead S, Rabbinowitsch E, Arrowsmith C, White B, Thurston S, Bringaud F, Baldauf SL, Faulconbridge A, Jeffares D, Depledge DP, Oyola SO, Hilley JD, Brito LO, Tosi LR, Barrell B, Cruz AK, Mottram JC, Smith DF, Berriman M. Comparative genomic analysis of three Leishmania species that cause diverse human disease. Nat Genet. 2007;39:839–847. doi: 10.1038/ng2053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ivens AC, Peacock CS, Worthey EA, Murphy L, Aggarwal G, Berriman M, Sisk E, Rajandream MA, Adlem E, Aert R, Anupama A, Apostolou Z, Attipoe P, Bason N, Bauser C, Beck A, Beverley SM, Bianchettin G, Borzym K, Bothe G, Bruschi CV, Collins M, Cadag E, Ciarloni L, Clayton C, Coulson RM, Cronin A, Cruz AK, Davies RM, De Gaudenzi J, Dobson DE, Duesterhoeft A, Fazelina G, Fosker N, Frasch AC, Fraser A, Fuchs M, Gabel C, Goble A, Goffeau A, Harris D, Hertz-Fowler C, Hilbert H, Horn D, Huang Y, Klages S, Knights A, Kube M, Larke N, Litvin L, Lord A, Louie T, Marra M, Masuy D, Matthews K, Michaeli S, Mottram JC, Muller-Auer S, Munden H, Nelson S, Norbertczak H, Oliver K, O'Neil S, Pentony M, Pohl TM, Price C, Purnelle B, Quail MA, Rabbinowitsch E, Reinhardt R, Rieger M, Rinta J, Robben J, Robertson L, Ruiz JC, Rutter S, Saunders D, Schafer M, Schein J, Schwartz DC, Seeger K, Seyler A, Sharp S, Shin H, Sivam D, Squares R, Squares S, Tosato V, Vogt C, Volckaert G, Wambutt R, Warren T, Wedler H, Woodward J, Zhou S, Zimmermann W, Smith DF, Blackwell JM, Stuart KD, Barrell B, Myler PJ. The genome of the kinetoplastid parasite, Leishmania major. Science. 2005;309(5733):436–442. doi: 10.1126/science.1112680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hessner MJ, Meyer L, Tackes J, Muheisen S, Wang X. Immobilized probe and glass surface chemistry as variables in microarray fabrication. BMC Genomics. 2004;5:53. doi: 10.1186/1471-2164-5-53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Naula CM, Logan FJ, Wong PE, Barrett MP, Burchmore RJ. A glucose transporter can mediate ribose uptake: Definition of residues that confer substrate specificity in a sugar transporter. J. Biol. Chem. 2010;285:29721–29728. doi: 10.1074/jbc.M110.106815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bailey TL, Elkan C. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc Int Conf Intell Syst Mol Biol. 1994;2:28–36. [PubMed] [Google Scholar]
- 20.Bailey TL, Williams N, Misleh C, Li WW. MEME: discovering and analyzing DNA and protein sequence motifs. Nucleic Acids Res. 2006;34:W369–W373. doi: 10.1093/nar/gkl198. (Web Server issue) [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Beverley SM. Protozomics: Trypanosomatid parasite genetics comes of age. Nature Rev. Genet. 2003;4:11–19. doi: 10.1038/nrg980. [DOI] [PubMed] [Google Scholar]
- 22.Shiu RP, Pouyssegur J, Pastan I. Glucose depletion accounts for the induction of two transformation-sensitive membrane proteins in Rous sarcoma virus-transformed chick embryo fibroblasts. Proc Natl Acad Sci U S A. 1977;74:3840–3844. doi: 10.1073/pnas.74.9.3840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lee AS. The glucose-regulated proteins: stress induction and clinical applications. Trends Biochem Sci. 2001;26:504–510. doi: 10.1016/s0968-0004(01)01908-9. [DOI] [PubMed] [Google Scholar]
- 24.Bangs JD, Uyetake L, Brickman MJ, Balber AE, Boothroyd JC. Molecular cloning 1 and 2 cellular localization of a BiP homologue in Trypanosoma brucei. Divergent ER retention signals in a lower eukaryote. J Cell Sci. 1993;105:1101–1113. doi: 10.1242/jcs.105.4.1101. [DOI] [PubMed] [Google Scholar]
- 25.Maugeri DA, Cazzulo JJ, Burchmore RJ, Barrett MP, Ogbunude PO. Pentose phosphate metabolism in Leishmania mexicana. Mol Biochem Parasitol. 2003;130:117–125. doi: 10.1016/s0166-6851(03)00173-7. [DOI] [PubMed] [Google Scholar]
- 26.Xu D, Guthrie JR, Mabry S, Sack TM, Truog WE. Mitochondrial aldehyde dehydrogenase attenuates hyperoxia-induced cell death through activation of ERK/MAPK and PI3K-Akt pathways in lung epithelial cells. Am J Physiol Lung Cell Mol Physiol. 2006;291:L966–L975. doi: 10.1152/ajplung.00045.2006. [DOI] [PubMed] [Google Scholar]
- 27.Ohsawa I, Nishimaki K, Yasuda C, Kamino K, Ohta S. Deficiency in a mitochondrial aldehyde dehydrogenase increases vulnerability to oxidative stress in PC12 cells. J Neurochem. 2003;84(5):1110–1117. doi: 10.1046/j.1471-4159.2003.01619.x. [DOI] [PubMed] [Google Scholar]
- 28.Ohta S, Ohsawa I, Kamino K, Ando F, Shimokata H. Mitochondrial ALDH2 deficiency as an oxidative stress. Ann N Y Acad Sci. 2004;1011:36–44. doi: 10.1007/978-3-662-41088-2_4. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.





