Abstract
Although the gastrointestinal pathogen Campylobacter jejuni was considered asaccharolytic, >50% of sequenced isolates possess an operon for l-fucose utilization. In C. jejuni NCTC11168, this pathway confers l-fucose chemotaxis and competitive colonization advantages in the piglet diarrhea model, but the catabolic steps remain unknown. Here we solved the putative dehydrogenase structure, resembling FabG of Burkholderia multivorans. The C. jejuni enzyme, FucX, reduces l-fucose and d-arabinose in vitro and both sugars are catabolized by fuc-operon encoded enzymes. This enzyme alone confers chemotaxis to both sugars in a non-carbohydrate-utilizing C. jejuni strain. Although C. jejuni lacks fucosidases, the organism exhibits enhanced growth in vitro when co-cultured with Bacteroides vulgatus, suggesting scavenging may occur. Yet, when excess amino acids are available, C. jejuni prefers them to carbohydrates, indicating a metabolic hierarchy exists. Overall this study increases understanding of nutrient metabolism by this pathogen, and identifies interactions with other gut microbes.
Subject terms: Pathogens, Glycobiology
Garber et al. solved the structure of the fucose dehydrogenase FucX of the gastrointestinal pathogen Campylobacter jejuni. Although C. jejuni lacks fucosidases and prefers amino acids to carbohydrates, Bacteroides vulgatus enhances the growth of C. jejuni in vitro in the presence of mucin, suggesting that this pathogen may obtain sugars from the commensal microbiota.
Introduction
Campylobacter jejuni is a common commensal in chickens and often transmitted to humans through consumption of undercooked or contaminated food products where it causes gastrointestinal infections that are generally self-limiting or treatable with antibiotics. However, post-infectious complications including Guillain-Barré syndrome, irritable bowel syndrome, reactive arthritis1, and growth stunting1,2 can occur. Additionally, increasing rates of C. jejuni antibiotic resistance, particularly to fluoroquinolones, is a growing concern3.
C. jejuni was once considered asaccharolytic since it lacks key enzymes from the Entner-Doudoroff and pentose phosphate pathways for carbohydrate metabolism. Most of its nutrition is derived from the amino acids serine, aspartate, asparagine, glutamate, and proline, which are readily abundant in the chicken gastrointestinal tract4. Additionally, some, but not all strains can utilize glutamine4,5. Tricarboxylic acid cycle intermediates and short chain fatty acids regularly found in the gut as by-products of microbial metabolism are also used by C. jejuni4,5 and their spatial distribution may be important for niche establishment in both commensal and pathogenic systems6.
Carbohydrate utilization pathways have recently been described in certain Campylobacter species. For example, few isolates of C. coli and C. jejuni subsp. doylei possess enzymes for the full Entner-Doudoroff pathway and thus metabolize glucose7,8. Also, we identified a functional fuc locus for l-fucose utilization (cj0480c-cj0489 in C. jejuni NCTC11168) that exists in ~65% of sequenced strains9,10. Many structures in the gastrointestinal tract contain l-fucose, including mucins11, blood group antigens12, the capsules, and glycoproteins of microbial species such as Bacteroides13, dietary plant polysaccharides14, and human milk oligosaccharides15 in breastfed infants. l-fucose plays an important role in the health of the host and the maintenance of the associated microbiota, including microbiota-mediated resistance to pathogens16, protection from Crohn’s disease17, and as a functional receptor for cholera toxin18. l-fucose is also an important nutrient for the microbiota, whether the bacteria can obtain it directly from the host17,19,20 or rely on scavenging from their neighbors21. Furthermore, fucosylated structures can be important adherence targets17, which has led to several studies reporting that human milk oligosaccharides may protect against infection by acting as binding decoys15. Bacteroides spp. are known to secrete fucosidases and can influence host fucosylation to maximize fucose utilization for nutrition19. However, C. jejuni does not encode any obvious fucosidase homologs suggesting that C. jejuni may forage on l-fucose released by other members of the microbiota22,23 as has been observed for Salmonella enterica serovar Typhimurium, Clostridium difficile24, and enterohemorrhagic Escherichia coli21.
l-fucose enhances C. jejuni growth in minimal media and provides the strain with a colonization advantage in a piglet model of diarrheal disease9. Furthermore, we showed that strains possessing the fuc locus (fuc+) strains chemotax towards fucose, and the putative dehydrogenase Cj0485 is necessary for this response25. The fucose permease encoded by cj0486 (fucP) complements an Escherichia coli fucP mutant9. However, l-fucose metabolism in C. jejuni does not rely upon ATP or GTP9. Thus, in C. jejuni, l-fucose must be catabolized by a pathway different from the common phosphorylation-dependent pathways found in E. coli, Bacteroides thetaiotaomicron19, Lactobacillus rhamnosus26, S. Typhimurium, and Klebsiella pneumoniae27 and it is unlikely that l-fucose is used in C. jejuni capsular polysaccharides via the GDP-activation-dependent mechanism described for Bacteroides28.
This work examines the crosstalk that may occur between commensal microbes and C. jejuni to enable l-fucose scavenging and provides evidence that C. jejuni can metabolize l-fucose released by commensal Bacteroides vulgatus. We also characterize the putative dehydrogenase Cj0485 through crystallography, enzymology, and multiple biological assays to confirm its function as a fucose dehydrogenase, which we have named FucX. This enzyme is also capable of reducing d-arabinose and is the sole component encoded by the fuc operon necessary for chemotaxis to both sugars. Nuclear magnetic resonance (NMR) and mutagenesis studies provide further insight into the mechanism of l-fucose breakdown and allowed us to propose a pathway for l-fucose and d-arabinose catabolism. We also investigate the impact of l-fucose on carbon source preferences by C. jejuni. Overall this study provides insight into the use of carbohydrates by C. jejuni and how the pathogen obtains sugars from the commensal microbiota providing options for future treatment and prevention strategies.
Results
Interactions between C. jejuni and B. vulgatus
We assessed whether C. jejuni expresses fucosidase activity by incubating the strain with 4-nitrophenyl-α-l-fucopyranoside, a general α-L-fucosidase substrate that produces a yellow color when fucose is released. In contrast with B. vulgatus, C. jejuni is unable to cleave 4-nitrophenyl-α-l-fucopyranoside (Fig. 1a). Co-culture growth experiments were conducted to determine whether porcine mucin enhances C. jejuni growth in the presence of B. vulgatus and that was indeed what was observed. Furthermore, fucose metabolism contributed in part to this phenotype since a C. jejuni fucP mutant showed less growth enhancement under these conditions (Fig. 1b). In order to assess whether fucose was released from mucin by B. vulgatus, we isolated outer membrane vesicles (OMVs), since it is known that Bacteroides spp. release glycosidase-enriched OMVs29, and co-incubated these with mucin to avoid bacterial consumption of the sugar. Free L-fucose was detected only when the B. vulgatus OMVs were present confirming that this carbon source can be released from mucin for C. jejuni use (Fig. 1c, d and Supplementary Fig. 1).
We further evaluated C. jejuni/B. vulgatus interactions by infecting germ-free mice with either a monoculture of B. vulgatus or a co-culture of B. vulgatus with C. jejuni and determined the impact of C. jejuni on B. vulgatus gene expression. Pathway enrichment analysis revealed that B. vulgatus upregulated numerous pathways involved in carbohydrate metabolism such as metabolic pathways bvu01100, carbon metabolism bvu01200 and microbial metabolism in diverse environments bvu01120 in the presence of C. jejuni (Supplementary Table 1). Furthermore, cecal and colon colony counts revealed that B. vulgatus levels remained constant whereas C. jejuni levels increased (although not to statistically relevant levels) in co-culture (Supplementary Fig. 2).
Characterization of Cj0485 as a FabG homologue
Burkholderia multivorans FabG (BmulJ_04919) is a monosaccharide dehydrogenase with activity on l-fucose, d-arabinose, and l-galactose30. Given that Cj0485 has 45% amino acid identity with FabG, we examined whether Cj0485 could also convert these sugars and/or others. Several aldose sugars in both d- and l-configurations were screened as substrates and Cj0485 displayed substantial activity on l-fucose and d-arabinose and with low levels of activity on l-galactose. Kinetic analysis of Cj0485 activity using an excess of l-fucose as a substrate revealed a preference for NADP+ as a cofactor with KM, kcat, and kcat/KM values of 9.9 ± 1.9 μM, 16.5 ± 0.7 s−1 and 1.7 ± 0.3 μM−1 s−1, respectively compared with KM, kcat, and kcat/KM values of 6050 ± 1080 μM, 20.5 ± 2.1 s−1 and 0.0034 ± 0.0008 μM−1 s−1, respectively, for NAD+. Using the preferred NADP+ cofactor in excess, Cj0485 displayed ~4-fold selectivity for l-fucose with KM, kcat, and kcat/KM values of 233.8 ± 26.2 μM, 26.3 ± 0.7 s−1 and 0.11 ± 0.01 μM−1 s−1, respectively, compared with KM, kcat, and kcat/KM values of 672.2 ± 82.8 μM, 18.9 ± 0.8 s−1 and 0.028 ± 0.004 μM−1 s−1, respectively, for d-arabinose (Supplementary Fig. 3).
To provide insight into the substrate specificity of Cj0485, we solved X-ray crystal structures of this enzyme alone and in complex with NADP+. The apo-enzyme crystallized in the space group C2221 with two monomers in the asymmetric unit and the crystallographic lattice generates a tetramer with D2 symmetry. The holo-enzyme in complex with NADP+ also crystallized in the space group P1. The holo-enzyme’s asymmetric unit contained four monomers that were arranged as tetramers with identical D2 symmetry to the crystallographic tetramer observed in the apo-complex (Fig. 2a). PISA31 analysis predicts this recurring tetramer to be a stable conformation, supporting the likelihood that the tetramer is the biologically relevant assembly of the enzyme.
The Cj0485 monomer adopts a Rossmann-like fold comprising a central seven-stranded twisted β-sheet sandwiched between two trios of parallel α-helices (Fig. 2b). A Cj0485 monomer from the apo-structure superimposes on an apo-FabG monomer with a root-mean-square-deviation (RMSD) of 0.9 Å (over 246 matched Cα atoms) revealing the similarity of the folds (Fig. 2c). Furthermore, the tetramer of Cj0485 superimposes on the tetramer of apo-FabG with an RMSD of 0.99 Å (over 1003 matched Cα atoms) indicating adoption of the same tetrameric organization.
Though we attempted extensive co-crystallization and soaking experiments, we were unable to obtain a ternary complex of Cj0485, NADP+ and l-fucose. However, comparison of our NADP+ complex to the ternary complex of FabG revealed insight into substrate specificity. Despite only 45% amino acid sequence identity, the NADP+ and l-fucose binding sites are comprised of identical amino acid side chains, pointing to indistinguishable modes of substrate accommodation and consistent with the matching specificities of the two enzymes (Fig. 2d). The only notable difference, likely owing to the lack of bound fucose in Cj0485, was the more open conformation of the catalytic site in Cj0485 whereby an α-helical “lid” enclosing the l-fucose binding site was retracted by ~5.8 Å relative to its conformation in FabG. The monosaccharide binding site is organized specifically to provide hydrogen bonding with equatorial C1 (β-anomer), C2, and C3 hydroxyl groups of the typical 1C4 chair conformation adopted by β-l-fucose (Fig. 2d, e). Likewise, the axial C4 hydroxyl also makes specific hydrogen bonding interactions while the position of W194, when the enzyme is in the closed lid conformation, would hinder accommodation of an axial C4 hydroxyl (Fig. 2d). These interactions are therefore tailored for β-l-fucose. Curiously, however, both enzymes have substantial activity on d-arabinose. Notably, the α-anomer of d-arabinose favors the 1C4 chair conformation32, which has the same structural features as β-l-fucose, only lacking the C6 methyl group (Fig. 2e). Thus, we propose the activity of Cj0485 and FabG on d-arabinose is through selection of the 1C4 chair conformation of α-d-arabinose from the conformational equilibrium of this monosaccharide. The apparent selectivity of these enzymes for β-l-fucose may result from van der Waals interactions between the enzyme active site and the C6 methyl group of this sugar, leading to a higher binding affinity compared with d-arabinose, which lacks the C6 methyl group. Data collection and structure statistics are available in Table 1. Due to our characterization of Cj0485 as a dehydrogenase and its previously known role in chemotaxis25 we propose naming Cj0485 FucX and will use this name from here forward.
Table 1.
FucX | FucX NADP complex | |
---|---|---|
Data collection | ||
Space group | C2221 | P1 |
Cell dimensions | ||
a, b, c (Å) | 101.2, 109.0, 105.7 | 68.5, 68.5, 70.7 |
α, β, γ (°) | 90.0, 90.0, 90.0 | 89.3, 113.4, 115.7 |
Resolution (Å) | 25.00–1.60 (1.63–1.60) | 30.0–2.15 (2.19–2.15) |
Rmerge | 0.071 (0.328) | 0.116 (0.385) |
I / σI | 22.9 (2.6) | 11.3 (2.4) |
Completeness (%) | 99.7 (99.1) | 95.7 (95.7) |
Redundancy | 4.7 (2.8) | 3.8 (2.2) |
Refinement | ||
Resolution (Å) | 1.60 | 2.15 |
No. reflections | 69589 | 53537 |
Rwork / Rfree | 0.17/0.21 | 0.16/0.21 |
No. atoms | ||
Protein | 2074 (A), 2080 (B) | 2012 (A), 2040 (B), 2039 (C), 2022 (D) |
Ligand/ion | 36 (EDO) | 192 (NAP), 18 (GOL), 4 (MG) |
Water | 494 | 471 |
B-factors | ||
Protein | 18.6 (A), 17.3 (B) | 27.2 (A), 26.8 (B), 27.1 (C), 27.6 (D) |
Ligand/ion | 24.3 (EDO) | 27.1 (NAP), 40.0 (GOL), 21.1 (MG) |
Water | 28.7 | 30.9 |
R.m.s. deviations | ||
Bond lengths (Å) | 0.006 | 0.007 |
Bond angles (°) | 0.745 | 0.956 |
Values in parentheses are for highest-resolution shell
Discovery of d-arabinose metabolism and chemotaxis
Since FucX was active on d-arabinose, we tested whether C. jejuni could also metabolize and swim toward this sugar. It was found that fuc+ strains showed enhanced growth in the presence of d-arabinose (Fig. 3a) and could swim to this attractant (Fig. 3b). Notably, expression of FucX without the rest of the fuc locus in the fuc- 81–176 strain was sufficient to confer chemotaxis to both sugars (Fig. 3b). Furthermore, the growth advantage was lost in a fucose permease mutant and transport of radiolabelled fucose was reduced in the presence of d-arabinose, but not other similar aldoses (Fig. 3c), suggesting that both sugars are transported through the same permease. Additionally, the fucX mutant was also deficient in chemotaxis to d-arabinose (Fig. 3b), suggesting the dehydrogenase is also linked to recognition of this chemoattractant. fuc mutants that showed reduced growth on l-fucose25 and 3H-fucose uptake (Supplementary Fig. 4) were also deficient in growth on d-arabinose (Fig. 3a) suggesting that the same enzymes involved in fucose catabolism are also involved in d-arabinose breakdown. We then performed NMR studies with 13C1-l-fucose and 13C6-l-fucose and detected l-fuconic acid (fuconate) (Supplementary Fig. 5). We also assessed if l-galactose could be metabolized since FucX showed very low levels of activity with this monosaccharide, but we could not detect any growth increase in its presence (Supplementary Fig. 6).
Interplay between use of l-fucose and other carbon sources
C. jejuni 11168 wildtype, together with the l-fucose permease mutant (fucP) and the fuc operon repressor mutant (fucR) were screened on phenotypic arrays (Biolog) as an initial screen to determine if l-fucose metabolism influences the metabolism of other carbon sources. The fucP mutant was deficient in utilizing many alternative carbon sources as compared to the wild-type strain while the fucose regulator (fucR) mutant, which constitutively expresses the pathway25, showed increased respiration on alternative carbon sources compared to the wildtype (Supplementary Fig. 7). Alternative carbon sources were also assessed for their ability to inhibit 3H-fucose uptake into the cell (Fig. 4). Excess l-serine, l-aspartic acid, and l-glutamic acid decreased 3H-fucose uptake, while no effect on l-fucose transport was observed when glucosamine, formic acid, proline, arginine, glutamine, asparagine, isoleucine or leucine were added to the growth medium (Supplementary Fig. 8). Quantitative RT-PCR (qRT-PCR) suggested that fucP expression was not substantially reduced in the presence of increasing amounts of l-serine, indicating that this regulation does not occur at the transcriptional level (Supplementary Fig. 9).
Discussion
The ability to use l-fucose gives C. jejuni a competitive advantage when infecting a piglet model of diarrheal disease suggesting that fucose metabolism provides this foodborne pathogen with a fitness advantage in the host. Foraging carbohydrates from the human body has been linked to virulence in other organisms such as Streptococcus pneumoniae33. Interestingly, S. pneumoniae possesses two pathways for fucose degradation, but both rely upon cleavage of fucosylated structures in the respiratory tract rather than the import of free fucose33 as does C. jejuni. In fact, C. jejuni 11168 has three identified glycosidases in the Carbohydrate-Active enZYmes database: MltD (SQF79585.1), SlT (SQF79837.1), and NCTC11168_01522 (SQF80505.1). MltD and SlT are important for maintaining cell wall integrity via peptidoglycan remodeling in the related organism Helicobacter pylori34 while NCTC11168_01522 is a mannosyl-glycoprotein endo-beta-N-acetylglucosamidase domain-containing protein, which has been described as an autolysin also important for peptidoglycan remodeling in Staphylococcus aureus35. It is likely these enzymes play similar roles in C. jejuni and are not fucosidases. Consistent with this, C. jejuni 11168 was unable to cleave the 4-nitrophenyl-α-l-fucopyranoside substrate (Fig. 1a). This substrate has been shown to be a general α-fucosidase substrate that can be cleaved by enzymes that also cleave α1–2, 1–3, 1–4, and 1–6 linkages although not all α-fucosidases will cleave it36.
Because of the apparent inability of this bacterium to release l-fucose from glycans, we hypothesized that C. jejuni must forage for free fucose derived from the host diet or released from intestinal oligosaccharides (rather than cleaving the sugars itself) by other members of the gut microbiome as has been observed for enteric pathogens such as S. Typhimurium, C. difficile24, and enterohemorrhagic E. coli21. We therefore designed co-incubation experiments with B. vulgatus, a member of a genus of gut microbes known to express multiple fucosidases37 and preferentially packaging catalytic enzymes into secreted OMVs subsequently used to release nutrients for both itself and other gut bacteria to scavenge29. These experiments showed that mucin enhances C. jejuni growth when co-cultured with B. vulgatus, and this may in part be due to the release of free l-fucose from the mucin by B. vulgatus, since the C. jejuni fucose permease mutant did not show statistically increased growth under these conditions (Fig. 1b). To further validate these findings, we demonstrated that B. vulgatus OMVs released free l-fucose when incubated with the mucin used in the co-culture experiments (Fig. 1c, d and Supplementary Fig. 1). Previous research has indicated that B. vulgatus can provide nutrients such as xylan breakdown products to other microbiota members, but in turn relies on them for obtaining nutrients from other products including inulin, levan, and amylopectin38, emphasizing the prevalence of nutrient sharing in the gut. Our in vitro results are also supported with gnotobiotic mouse colonization experiments revealing enhanced C. jejuni gut colonization in the presence of B. vulgatus (Supplementary Fig. 2). Although complex polysaccharides containing fucose are present in the mouse diets, carbohydrates are not the only carbon source available to the microbes as indicated by the variety of metabolic pathways upregulated by B. vulgatus when competing with C. jejuni for nutrients. Nonetheless, we observed a modest increase in C. jejuni colonization levels in the cecum and up to a fivefold increase in colonization in the colon when the organism was co-cultured with B. vulgatus. This suggests a tripartite interaction between B. vulgatus, C. jejuni, and the host whereby B. vulgatus may be providing nutrients for C. jejuni and may in turn also receive other nutrients from C. jejuni. For instance, a related Bacteroides species, B. fragilis, consumes human N-glycosylated molecules such as transferrin39 and C. jejuni also produces N-glycans among other glycoconjugates40, thus it is possible that C. jejuni glycans could provide a food source for B. vulgatus.
The enzymes encoded by the C. jejuni l-fucose locus are predicted to include a transcriptional regulator (Cj0480c/FucR), a synthase (Cj0481/DapA), a dehydratase (Cj0483), two major facilitator superfamily transporters (Cj0484 and Cj0486/FucP), two dehydrogenases (Cj0485/FucX and Cj0489), a hydrolase (Cj0487), and a mutarotase (Cj0488)9. Based upon the homology of the C. jejuni fuc operon-encoded enzymes to other characterized enzymes (such as those in the plant pathogen Xanthomonas campestris41), the growth and uptake phenotypes of the mutants tested in our previous9,25 and current work, and the confirmed dehydrogenase activity of FucX, we developed a model for C. jejuni l-fucose and D-arabinose metabolism (Fig. 5). From NMR experiments using 13C-l-fucose, we detected large amounts of l-fuconic acid, which is consistent with our model and has been observed by mass spectrometry studies42. Notably however, this latter work based their predicted pathway on the X. campestris pathway42 as we had earlier predicted9, but the current homology comparisons suggest a previously unrecognized model based upon the role of Cj0481 as a dihydrodipicolinate synthase. Interestingly, this pathway is identical to one recently described for the archaeon Sulfolobus solfataricus43 but to our knowledge, this is the first time it has been identified in bacteria and it is distinctly different from that used by E.coli44 or X. campestris41.
The structural similarity of C. jejuni FucX to B. multivorans FabG (Fig. 2c) is consistent with the ability of both enzymes to efficiently reduce the same substrates, l-fucose and d-arabinose, with weak activity on l-galactose. FucX showed an ~4-fold preference for l-fucose over d-arabinose (Supplementary Fig. 3) leading us to wonder whether d-arabinose and l-galactose are true substrates in vivo. We did not observe enhanced growth with l-galactose (Supplementary Fig. 6), suggesting it is not a true substrate; however, C. jejuni growth increased in the presence of d-arabinose and mutants in the l-fucose utilization locus were unable to grow on d-arabinose (Fig. 3b), suggesting it is a true substrate and catabolized by the same pathway as l-fucose. Dual use of a fucose metabolic pathway for arabinose metabolism has been seen in other organisms including E. coli44 and S. sulfataricus45,46; however, it remains to be determined if d-arabinose serves as a carbon source for these organisms in nature since d-arabinose is rare, although it has been identified in rosebuds47 and recently in the alga, Haematococcus pluvialis48.
Mutation of cj0488 and cj0489 did not impair C. jejuni growth. For the predicted Cj0488 mutarotase, we believe that since our assay conditions use excess l-fucose in solution, there is enough fucose available in the desired beta configuration for the cell to catabolize the sugar without a mutarotase49. Normally mutarotases are required in vivo when there is a scarcity of water to catalyze the deprotonation and subsequent reprotonation that results in the configuration change44. For the putative Cj0489 dehydrogenase, it is possible that we would still observe enhanced growth since pyruvate is produced in the previous step serving as the primary energy source. Also, it is likely that the cell possesses a mechanism to cope with stress associated with excess aldehyde accumulation as observed in E. coli.
It is interesting to note that C. jejuni also displays chemotaxis to d-arabinose and that FucX is necessary for coordinating this response, as previously observed with l-fucose25. The mechanism for this response remains to be determined; however, we speculate that this, together with the che system, likely involves a direct or indirect interaction with one of the transducer-like proteins (Tlps) that serve as chemoreceptors in C. jejuni50 since expression of FucX alone in the fuc- strain C. jejuni 81–176 is sufficient to confer chemotaxis to l-fucose and d-arabinose (Fig. 3b). Future work will focus on testing a collection of C. jejuni Tlp mutants for l-fucose and d-arabinose recognition to gain mechanistic insight into this coordinated response.
We compared the utilization of various carbon sources by wild-type C. jejuni cells versus fucP mutant cells (unable to uptake l-fucose) and fucR mutant cells (with enhanced l-fucose utilization due to constitutive expression of the operon) using the Biolog system. It was initially expected that the fucP mutant would have an enhanced ability to use other carbon sources; however, it was observed that the fucP mutant was deficient in the use of several of these sources, notably several tricarboxylic acid cycle intermediates such as succinate, malate, α-ketoglutarate, and pyruvate (Supplementary Fig. 7), suggesting that there may be a link between regulation of the fucose locus and these pathways. The inhibition of radiolabelled l-fucose uptake by other alternative carbon sources did not mirror the Biolog results completely, likely due to the different growth conditions necessary for the experiments. However, alternative carbon sources also influenced l-fucose uptake in this assay. For instance, l-serine, l-glutamic acid, and l-aspartic acid all reduced l-fucose uptake (Fig. 4). Catabolite-repression-based regulation of transcription has previously been observed when examining C. jejuni use of amino acids such as serine and linked to intracellular levels of succinate51; however, our current work suggests no change in transcription of fucP (Supplementary Fig. 8), indicating that regulation is occurring via a different mechanism.
By better understanding the role of carbohydrate metabolism in C. jejuni and how other carbon sources and microbial species in the gut can influence this interaction, we may be able to better understand how nutrition influences Campylobacter carriage and disease severity. Future work will continue to build on these observations and may aid in the development of low-cost nutritional therapies.
Methods
Fucosidase activity assay
Fucosidase activity was assessed based upon cleavage of 4-nitrophenyl-α-l-fucopyranoside (Gold Biotechnology)52. C. jejuni and B. vulgatus were incubated at OD600 = 1 in triplicate 10 µL volumes with 90 µL 1 M Tris-HCl, pH = 8.0 in 96-well plates with 10 mM 4-nitrophenyl-α-l-fucopyranoside dissolved in dimethylsulfoxide (DMSO) for 18 h under appropriate growth conditions. Absorbance at 405 nm was assessed at t = 0 and t = 18 h. Substrate-free and cell-free controls were included for all experimental groups. Significance was assessed by a two-tailed Student’s t-test, assuming normal distribution.
Co-culture experiments
C. jejuni 11168 wildtype and fucP::kan and B. vulgatus were grown overnight on Mueller-Hinton (MH) or anaerobe plates under microaerobic or anaerobic conditions respectively. A 106 colony-forming unit inoculum of C. jejuni was added to 2 mL of minimal essential medium α with glutamine and phenol red (Gibco), supplemented with 20 µM FeSO4 and 0.5% porcine gastric mucin, and allowed to grow for 9 h under microaerobic conditions. Next, 107 colony-forming units of B. vulgatus was added to the C. jejuni culture, and growth was continued for 24 additional hours under microaerobic conditions. A 30 µL aliquot was removed from the culture, serially diluted, and plated on Campy Line Agar53 selective plates and incubated at 42 °C under microaerobic conditions. After 48 h, colonies were enumerated and statistical significance was determined by two-way ANOVA with Tukey post-test using GraphPad Prism 7.
Detection of microbially-released l-fucose from mucin
B. vulgatus were grown for 24 h under anaerobic conditions at 37 °C in 200 mL pre-reduced brain heart infusion broth supplemented with 5 µg mL−1 hemin and 1 µg mL−1 menadione. The culture was pelleted at 10,000 rpm for 15 min and the supernatant was filtered through a 0.45 µm filter and then a 0.22 µm PVDF membrane. The filtrate was ultracentrifuged at 100,000 × g for 2 h once, washed in 1X phosphate-buffered saline (PBS), and ultracentrifuged for an additional 2 h. The pellet containing the OMVs was then resuspended in 10 mL mqH2O and quantified using a PierceTM BCA Protein Assay Kit (Thermo Scientific) following the manufacturer’s instructions. Twenty micrograms of OMVs were combined with 50 mM Tris-HCl, pH = 8.0 and 0.5% UV-sterilized porcine gastric mucin. Additional controls containing only OMVs or only mucin in buffer were also included. Samples were incubated at 37 °C with shaking at 90 rpm microaerobically for 18 h, then flash frozen in a dry ice/ethanol bath and lyophilized to dryness. In parallel, fucosidase activity of the OMVs was also verified by incubating with 4-nitrophenyl-α-l-fucopyranoside as described for the whole cells. To detect free fucose released from mucin, the sample (OMVs + mucin) and controls (OMVs only, mucin only) were O-acetylated with acetic anhydride and pyridine at 45 °C for 25 min. Subsequently the sample and controls were analyzed by GC-MS on an Agilent 7890 A GC interfaced to a 5975 C MSD (mass selective detector, electron impact ionization mode). One microliter of sample was injected at a 100:1 split ratio. Separation was performed on a 30 m Supelco SP2380 column (30 m × 250 µm × 0.2 µm) using helium as carrier gas. The separation gradient started at 60 °C and this temperature was held for 1 min. The temperature was then increased to 170 °C at 27.5 °C min−1, followed immediately by another increase to 235 °C, at 4 °C min−1, and held for 2 min. A final ramp of 3 °C min−1 raised the temperature to 240 °C and this temperature was held for 12 min. A post-run of 3 min at 250 °C was included after the runs for column cleaning.
Gnotobiotic mouse mono and co-colonization
Twelve female Swiss Webster germ-free mice were housed in pairs, in gnotobiotic isolators, where they were fed autoclaved standard chow diets (Teklad). The mice were divided into groups of six and inoculated with a single gavage of approximately 107 colony-forming units of B. vulgatus, or an equal mixture of both C. jejuni and B. vulgatus. Fourteen days post-inoculation, the mice were euthanized, weighed, and their cecum and colon were immediately collected. The protocol for the use of germ-free mice was approved by the Institutional Animal Care and Use Committee of the University of Ottawa (Animal Care protocol BMI-2347).
To measure bacterial colonization, the samples were weighed, cut longitudinally, homogenized, serially diluted in fastidious anaerobe broth (Oxoid) and plated on MH (for C. jejuni) and anaerobe basal agar plates (Oxoid) (for B. vulgatus). The plates were incubated for 48 h under microaerophilic (for C. jejuni) or anaerobic (for B. vulgatus) conditions, and the resulting colonies were enumerated and expressed per gram of intestinal content. Statistical significance was tested using both t-tests and Mann–Whitney tests with GraphPad Prism 7.
To preserve RNA, whole mouse ceca (minus small samples removed for bacterial enumeration), were suspended in 5 mL of RNAlater (Ambion) and vortexed vigorously. The suspension was centrifuged briefly (15 s) at 500 × g to remove debris. The remaining suspended bacteria and small particulate material was pelleted (15 min, 10,000 × g) and stored at −20 °C with fresh RNAlater.
RNA extraction for RNAseq experiments
Cultures were pelleted by centrifugation at 6000 × g at 4 °C for 15 min. The pellets were resuspended and centrifuged again in 50% RNAlater/PBS buffer. Total RNA was extracted using a hot-phenol extraction method54. Genomic DNA was removed by two DNaseI (Epicentre) treatments, and the RNA was cleaned using RNeasy columns (Qiagen). A PCR was performed to ensure there was no genomic DNA present. Final RNA quality and quantity was ascertained using the BioRad’s Experion StandardSense RNA system following the manufacturer’s protocols. Ribosomal RNA was depleted from each sample using Terminator™ 5′-Phosphate-Dependent Exonuclease (Epicenter), using manufacturer protocols.
Library construction for RNAseq
Illumina-compatible cDNA libraries were constructed using a NEBnext® mRNA sample prep Master mix set 1 from 250 ng of rRNA-depleted total RNA using manufacturer protocols. Briefly, mRNA for each sample was fragmented, reverse transcribed to cDNA, dA-tailed and custom designed adapters, each containing a specific barcode, were ligated to each cDNA fragment. The cDNA was size selected to 150–250 bp fragments using agarose gel extraction, and PCR enriched using adapter-specific primers. The samples were RNA extracted from the cecal contents of each gnotobiotic mouse for a total of 12 in vivo samples. The samples were sequenced on an Illumina HiSeq 2500.
RNAseq data analysis
Raw sequencing reads were demultiplexed using Novobarcode (Novocraft) and have been deposited to the NCBI SRA archive under accession number PRJNA514712. Each sample was aligned to a custom database containing both the C. jejuni NCTC 11168 (NC_002163.1) and B. vulgatus ATCC 8482 genomes (NC_009614.1) with Bowtie255 using local alignment and very-sensitive settings. Reads aligning to transcriptional regions were counted using HTSeq56. Gene differential expression and KEGG pathway enrichment analyses were performed57–59. B. vulgatus genes without a corresponding KEGG entry and pathways with no detectable expression were excluded from the pathway enrichment analysis. Results were considered significant with an FDR60 corrected p ≤ 0.05 (Please see Supplementary Table 1 for a list of exact p-values).
Protein expression constructs
UniProt IDs for all proteins mentioned in this paper are in Supplementary Table 2. All primers were synthesized by Eton Bioscience (Research Triangle Park, North Carolina) and are in Supplementary Table 3. Chromosomal DNA from C. jejuni 11168 served as template to amplify fucX with OneTaq DNA polymerase (New England Biolabs [NEB]) using primers Cj0485NdeIF and Cj0485XhoIR or Cj0485XhoIRc by PCR as recommended by manufacturer’s instructions. Primers were designed to have XhoI and NdeI restriction sites for insertion into the pET28a-TEV and pET30a cloning vectors. Vectors and inserts were digested with XhoI (Promega) and NdeI (Thermo Fast Digest) following the ThermoScientific protocol for 75 min and purified using the Monarch PCR and DNA clean up kit (NEB) using the manufacturer’s protocol. The fragment amplified with the Cj0485NdeIF primer and Cj0485XhoIR primer with the stop codon intact was ligated overnight at room temperature using T4 DNA ligase as per manufacturer’s protocol into Xho/NdeI digested pET28a-TEV to create an N-terminally-His-tagged construct. The fragment with the alternative reverse primer (Cj0485XhoIRc) that disrupted the stop codon was ligated under similar conditions into pET30a to create a C-terminally-His-tagged construct. Following ligation, constructs were transformed into E. coli DH5α and confirmed by colony PCR using Taq polymerase (Invitrogen).
FucX protein purification
The pET expression constructs described in the previous section were isolated from DH5α using the GeneJET Plasmid Miniprep kit (Thermo Scientific) per manufacturer’s instructions, modified to include 5 min drying prior to eluting with 30 µL 1/30 elution buffer pre-warmed to 55 °C and incubating for 15 min while eluting prior to spinning down. They were transformed into the BL21 expression strain of E. coli. A 5 mL overnight culture in 2x yeast extract and tryptone (YT) medium with kanamycin for plasmid maintenance was added to 250 mL fresh 2x YT and grown to an OD600 of ~0.5 at 37 °C and 200 rpm shaking, then induced with 100 µL 1 M IPTG and the temperature reduced to 30 °C. After 2 h, cells were harvested by centrifugation at 4255 × g for 30 min and frozen at −20 °C. The following day, pellets were thawed and passed twice through an EmulsiFlexTM-C5 high pressure homogenizer in 10 mL lysis buffer (50 mM HEPES, 150 mM NaCl, 10% glycerol, 5 mM imidazole, pH = 7.5) per g pellet. For crystallography, the above protocol was scaled up to 4 L of 2x YT media and the harvested cells were disrupted by chemical lysis61 instead of mechanical lysis. Debris was removed by centrifugation at 4255 × g for 30 min, followed by an ultracentrifugation at 100,000 × g for 1 h. Protein was isolated from the soluble fraction by nickel affinity chromatography using Ni-NTA columns (~ 0.75 cm × 0.75 cm resin bed), washing first with 10 column volumes mqH2O and equilibrating with 20 column volumes lysis buffer then applying cell lysate and washing with 10 column volumes wash buffer (50 mM HEPES, 150 mM NaCl, 10% glycerol, 20 mM imidazole, pH = 7.5). Tagged protein was eluted in three fractions of three column volumes elution buffer (50 mM HEPES, 150 mM NaCl, 10% glycerol, 250 mM imidazole, pH = 7.5). For protein used in enzymology assays, the glycerol was omitted. Protein was desalted using PD-10 columns (GE Healthcare) per manufacturer’s instructions and quantified by Bradford assay. Purified protein was stored in 100 µL aliquots at −20 °C.
Crystallography
Crystals were obtained at 18 °C using sitting-drop vapor diffusion for screening and hanging drop vapor diffusion for optimization. Crystals of purified C-terminally six-histidine tagged FucX (used at 50 mg mL−1) were grown in 3.4 M 1,6-hexanediol, 0.1 M Tris pH 8.5 and 0.2 M magnesium chloride hexahydrate (MgCl2 (H2O)6). Prior to flash freezing in liquid nitrogen, the crystals were cryoprotected in the crystallization solution supplemented with 25% (v/v) ethylene glycol. Crystals of a NADP+ complex were obtained by pre-incubation of the protein (at 30 mg mL−1) with an excess of NADP+ followed by crystallization in 23–26% polyethylene glycol 4000, 0.08 M Tris pH 8.5, 0.15 M MgCl2 (H2O)6 and 20% glycerol. These crystals were directly frozen in the crystallization solution.
Diffraction data were collected at 100 K on an ‘in-house’’ beam comprising a Pilatus 200 K 2D detector coupled to a MicroMax-007HF X-ray generator with a VariMaxTM-HF ArcSec Confocal Optical System and an Oxford Cryostream 800. Diffraction data were integrated, scaled and merged using HKL200062 and converted to a mtz file with SCALEPACK2MTZ63. The apo-structure of Cj0485 was solved by molecular replacement using PHASER63 with the homolog from B. multivorans (4GVX) used as a search model. With these initial phases, BUCCANEER was used to automatically build a model of Cj048564, which was finished by manual building with COOT65 and refinement with phenix.refine66. This complete model was used as a search model to solve the structure of the NADP+ complex. For both structures, the addition of water molecules was performed in COOT with FINDWATERS and manually checked after refinement. In all data sets, refinement procedures were monitored by flagging 5% of all observations as “free”67. Ramachandran statistics for both structures showed 96.5% preferred residues and 0.4% disallowed residues (corresponding to one residue in each monomer, V139). Model validation was performed with MOLPROBITY68. All data processing and model refinement statistics are shown in Table 1. The models obtained were represented using PyMOL (PyMOL Molecular Graphics System). Coordinates and structure factors for FucX and FucX in complex with NADP+ have been deposited with the PDB codes 6DRR and 6DS1, respectively.
Enzymatic assay of FucX dehydrogenase activity
An initial screen of 32 aldose sugars in both d- and l- configuration (glyceraldehyde, erythrose, threose, arabinose, lyxose, ribose, xylose, 5-deoxy-d-ribose, allose, altrose, galactose, glucose, gulose, idose, mannose, talose, and fucose) was performed by combining 1 μM dehydrogenase, 1 mM aldose sugar, 1 mM NAD+, and 1 mM Mg2+ in 50 mM Tris-HCl buffer (pH 7.5) and measuring the absorbance at 340 nm at 0, 6, and 30 min after the addition of Cj0485. Substrates with activity in the initial screen were used for further kinetic analysis.
All steady state kinetics were performed at room temperature on a SpectraMax M5 plate reader in UV transparent 96-well microtiter plates using SoftMax Pro 6.2.1 software. Standard reaction mixtures contained 50 mM Tris-HCl buffer (pH 7.5) and 1 mM Mg2+. These were supplemented with enzyme (1, 5, 10, and 200 nM), NAD+ (0–8 mM), NADP+ (0–400 µM), l-fucose (0–2.6 mM) or d-arabinose (0–3.6 mM). NADH and NADPH production was monitored at 340 nm; rates were calculated using the experimentally determined extinction coefficients, ε340nm, of 5589.3 cm−1 M−1 and 5507.1 cm−1 M−1 for NADPH and NADH, respectively. All experiments were performed in triplicate. Michaelis-Menten parameters were determined by nonlinear curve fitting using GraphPad Prism.
Growth and chemotaxis assays
C. jejuni wildtype and fuc locus mutants at initial OD600 = 0.05 were grown in liquid culture for 18 h in minimal essential media α with glutamine and phenol red (Gibco), supplemented with 20 µM FeSO4 with or without 25 mM of the carbon source of interest (l-fucose, d-arabinose, or l-galactose) at 150 rpm and 37 °C under microaerobic conditions. Differences in final OD600 between wildtype and mutant strains were compared using a two-tailed Student’s t-test, assuming normal distribution, with four biological replicates. A tube based chemotaxis assay25 was used to assess movement of 250 µL of C. jejuni 11168 wild-type and fucX mutant as well as 81–176 wildtype, Ωfuc, and ΩfucX in 0.4% molten PBS agar at a density of 2.8 mL g−1 of cells from the bottom of a 2 mL tube through 1 mL sterile 0.4% PBS ager to a Whatman paper disc soaked in 50 µL 1 M l-fucose, d-arabinose, l-serine, or PBS after 3 days microaerobic incubation at 37 °C. Cells were detected by adding 200 µL of 0.01% triphenyltetrazolium chloride as an indicator and scored for presence (+) or absence (−) of pink color development after 1 h microaerobic incubation at 37 °C.
Construction of mutant and complement strains
The C. jejuni 11168 cj0489::kan mutant was constructed by the restriction digest method of insertion of a kanamycin cassette into the cloned gene of interest in the PCRscript vector, followed by electroporation, recombination, and selection for the mutant in C. jejuni grown on kanamycin-containing medium25. The cassette was inserted at a natural StyI restriction cut site located within the C. jejuni genome at bases 455,818–455,103. The C. jejuni 81-176ΩfucX complement strain was constructed by electroporation of genomic DNA from a previously constructed25 complement strain containing fucX into the parent strain.
NMR analysis of cellular metabolites
C. jejuni 11168 wild-type, cj0488, cj0481, and cj0489 mutants were grown on MH plates for two days and subcultured on MH plates for one day further after which 50 mL minimal essential medium α with glutamine and phenol red (Gibco), with 20 µM FeSO4 as used in growth experiments was inoculated to an OD600 = 0.35 and grown overnight in microaerobic conditions at 37 °C and 150 rpm. The following morning, 10 mL of the culture was added to 10 mL of fresh growth medium containing either 50 mM of a 9:11 ratio of 13C-1-l-fucose to 13C-6-l-fucose or unsupplemented and incubated for 8 h. Cultures were then pelleted by centrifugation at 4255 × g, washed twice with 4 mL cold PBS, and flash frozen. Cells were lysed and metabolites extracted using the method described by Soo et al69, modified to filter using VIVASPIN 20 10 K MWCO columns (Sartorius) prewashed eight times with distilled water to remove glycerol and the filtrate lyophilized. Lyophilized extract was resuspended in 99.96% D2O. Spectra were acquired on a Bruker Neo 800 MHz spectrometer equipped with a 5 mm HCN cryoprobe. Standard Bruker pulse sequences were used (HSQC: hsqcetgpsisp2, HSQC-TOCSY: hsqcetgpml, HMBC: hmbclpndqf). Processing was done with Mestrelab MNOVA software. Chemical shifts were referenced to internal DSS. An authentic sample of l-fuconic acid to verify the proton and carbon shifts and identify the compound in the extract.
Biolog screening
Carbon source utilization was screened for C. jejuni 11168 wildtype, fucR::cm, and fucP::cm on Biolog PM1 and PM2A phenotypic microarray plates, each containing 95 unique carbon sources. Cells were added to the arrays at 52% transmittance and incubated microaerobically in an OmniLog PM at 37 °C for 72 h with reads every 15 min.
3H-l-fucose uptake assays
Wildtype or mutant cells were grown in the presence or absence of l-fucose and then tested for their ability to take in 3H-l-fucose when supplemented with l-serine, aspartic acid, and d- and l-arabinose, glutamic acid, glucosamine, formic acid, proline, arginine, glutamine, asparagine, isoleucine or leucine. Overnight cultures of cells were adjusted to OD600 = 1.0 and used to inoculate 10 mL of MH (supplemented with 25 mM l-fucose and/or alternative carbon source as needed) with 2 mL of cells. The 12 mL cultures were grown under microaerophilic conditions with shaking (100 rpm) at 37 °C until mid-log phase (~4 h). At this point, the 3H-l-fucose was added and its uptake measured by scintillion oscillography for radioactivity of cells harvested from the culture. Significance was determined by a two-tailed Student’s t-test p-value lower than 0.05, assuming normal distribution.
qRT-PCR
The expression of fucP was compared in cells grown in differing l-fucose and l-serine supplement conditions. These conditions included unsupplemented, excess serine (50 mM serine, 10 mM fucose), equimolar (10 mM of each), excess fucose (10 mM fucose, 2 mM serine), and serine only and fucose only (10 mM each). Cells were initially thawed on MH plates, restreaked after 36 h and grown for 24 h microaerobically at 37 °C. These cells were then harvested in MH broth and set to OD600 = 1.0. Two milliliters of this solution were then used to inoculate 10 mL of MH broth (with supplements when needed). Cultures were grown under microaerobic conditions at 37 °C with shaking at 100 rpm until mid-log phase (~4 h), after which cells were harvested and RNA extracted using the RNeasy Mini Kit (Qiagen) per the manufacturer’s instructions for bacterial cells with lysozyme-mediated lysis. Genomic DNA was removed by treatment with TURBO DNA-freeTM kit per manufacturer’s instructions. Reverse transcription was carried out using 800 ng of RNA with iScriptTM Reverse Transcription Supermix for RT-qPCR. Quantitative PCR was carried out using the Bio-Rad SsoAdvancedTM Universal SYBR® Green Supermix kit per manufacturer’s instructions with 0.4 µM cj0486 primers (cj0486-RT-F and cj0486-RT-R) or 0.4 µM 16S control primers (16s-RT-For and 16s-RT-Rev) described in Table 1 in a Bio-Rad C1000 TouchTM CFX96TM Real-Time System, and data were analyzed using Bio-Rad CFX Manager™ Software 3.1. Reactions were carried out in two biological replicates and significance was determined using a two-tailed Student’s t-test assuming normal distribution.
Statistics and reproducibility
All statistical tests performed are indicated in the relevant methods above. All experiments were reproduced at least once unless otherwise indicated.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
The authors would like to thank David Kelly, Victoria Korolik, Evgeny Vinogradov and Hanwen Huang for helpful discussions. CMS is an Alberta Innovates Strategic Chair in Bacterial Glycomics. This research was supported by Discovery (RGPIN 2014-04355) from the Natural Sciences and Engineering Research Council of Canada to ABB and the National Institutes of Health funded Research Resource for Biomedical Glycomics (P41GM10349010) to PA. Research in the AS laboratory is supported by CIHR grant MOP#84224.
Author contributions
J.M.G., H.N., and C.M.S. designed the study with insight from A.B.B., A.S., P.A., and J.A.G. J.M.G. cloned, expressed, and purified proteins. B.P. carried out X-ray crystallography and FucX enzyme kinetics. J.M.G. and H.H. performed preliminary FucX enzyme activity screens. J.M.G. completed all growth and chemotaxis experiments with assistance from X.B. and A.E. J.M.G. purified cellular metabolites for NMR analysis done by J.G. X.B. created the cj0489 mutant strain with guidance from J.M.G. S.P. completed the GC-MS experiments. J.M.G. performed Biolog experiments with guidance from E.L. H.N. designed and completed the uptake assays. X.B. and J.M.G. prepared the cultures and did the qRT-PCR experiments. J.M.G. performed the fucosidase activity assays. J.M.G. completed the co-culture experiments with guidance and data analysis from M.S. M.S. performed the mouse studies and J.B. analyzed the RNA-seq data. J.M.G. and C.M.S. wrote the paper with input from all authors.
Data availability
All relevant data are available from the corresponding author. The source data underlying Figs. 1a, b, 3a–c and 4a, b and Supplementary Figs. 2, 3, 4, 6, 7, 8, and 9 are provided in Supplementary Data 1. The spectral data for Supplementary Figs. 1 and 5 are provided Supplementary Data 2. The RNAseq data has been deposited to the NCBI SRA archive under accession number PRJNA514712. Coordinates and structure factors for FucX and FucX in complex with NADP+ have been deposited with the PDB codes 6DRR and 6DS1, respectively. Their PDB validation reports are provided as Supplementary Data 3 and 4, respectively.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information is available for this paper at 10.1038/s42003-019-0727-5.
References
- 1.Lee G, et al. Symptomatic and asymptomatic Campylobacter infections associated with reduced growth in Peruvian children. PLoS Negl. Trop. Dis. 2013;7:e2036. doi: 10.1371/journal.pntd.0002036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Dinh DM, et al. Longitudinal analysis of the intestinal microbiota in persistently stunted young children in south India. PLoS ONE. 2016;11:1–17. doi: 10.1371/journal.pone.0155405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sproston, E. L., Wimalarathna, H. M. L. & Sheppard, S. K. Trends in fluoroquinolone resistance in Campylobacter. Microb. Genom. 4, e000198 (2018). [DOI] [PMC free article] [PubMed]
- 4.Stahl M, Butcher J, Stintzi A. Nutrient acquisition and metabolism by Campylobacter jejuni. Front. Cell. Infect. Microbiol. 2012;2:1–10. doi: 10.3389/fcimb.2012.00005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hofreuter D. Defining the metabolic requirements for the growth and colonization capacity of Campylobacter jejuni. Front. Cell. Infect. Microbiol. 2014;4:1–19. doi: 10.3389/fcimb.2014.00137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Luethy, P. M. et al. Microbiota-derived short-chain fatty acids modulate expression of Campylobacter jejuni determinants required for commensalism and virulence. MBio8, e00407-17 (2017). [DOI] [PMC free article] [PubMed]
- 7.Vorwerk H, et al. A transferable plasticity region in Campylobacter coli allows isolates of an otherwise non-glycolytic food-borne pathogen to catabolize glucose. Mol. Microbiol. 2015;98:809–830. doi: 10.1111/mmi.13159. [DOI] [PubMed] [Google Scholar]
- 8.Vegge CS, et al. Glucose metabolism via the Entner-Doudoroff pathway in Campylobacter: a rare trait that enhances survival and promotes biofilm formation in some isolates. Front. Microbiol. 2016;7:1–16. doi: 10.3389/fmicb.2016.01877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Stahl M, et al. L-Fucose utilization provides Campylobacter jejuni with a competitive advantage. Proc. Natl Acad. Sci. USA. 2011;108:7194–7199. doi: 10.1073/pnas.1014125108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Muraoka WT, Zhang Q. Phenotypic and genotypic evidence for L-fucose utilization by Campylobacter jejuni. J. Bacteriol. 2011;193:1065–1075. doi: 10.1128/JB.01252-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kornfeld R, Kornfeld S. Assembly of asparagine-linked oligosaccharides. Annu. Rev. Biochem. 1985;54:631–664. doi: 10.1146/annurev.bi.54.070185.003215. [DOI] [PubMed] [Google Scholar]
- 12.Oriol R, Le Pendu J, Mollicone R. Genetics of ABO, H, Lewis, X and related antigens. Vox Sang. 1986;51:161–171. doi: 10.1159/000461485. [DOI] [PubMed] [Google Scholar]
- 13.Coyne MJ, Kalka-Moll W, Tzianabos AO, Kasper DL, Comstock LE. Bacteroides fragilis NCTC9343 produces at least three distinct capsular polysaccharides: cloning, characterization, and reassignment of polysaccharide B and C biosynthesis loci. Infect. Immun. 2000;68:6176–6181. doi: 10.1128/IAI.68.11.6176-6181.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Burton RA, Gidley MJ, Fincher GB. Heterogeneity in the chemistry, structure and function of plant cell walls. Nat. Chem. Biol. 2010;6:724–732. doi: 10.1038/nchembio.439. [DOI] [PubMed] [Google Scholar]
- 15.Newburg DS, Grave G. Recent advances in human milk glycobiology. Pediatr. Res. 2014;75:675. doi: 10.1038/pr.2014.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pickard JM, et al. Rapid fucosylation of intestinal epithelium sustains host-commensal symbiosis in sickness. Nature. 2014;514:638–641. doi: 10.1038/nature13823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Schneider M, Al-Shareffi E, Haltiwanger RS. Biological functions of fucose in mammals. Glycobiology. 2017;27:601–618. doi: 10.1093/glycob/cwx034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wands AM, et al. Fucosylated molecules competitively interfere with cholera toxin binding to host cells. ACS Infect. Dis. 2018;4:758–770. doi: 10.1021/acsinfecdis.7b00085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hooper LV, Xu J, Falk PG, Midtvedt T, Gordon JI. A molecular sensor that allows a gut commensal to control its nutrient foundation in a competitive ecosystem. Proc. Natl Acad. Sci. USA. 1999;96:9833–9838. doi: 10.1073/pnas.96.17.9833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Xu J, et al. A genomic view of the human-Bacteroides thetaiotaomicron symbiosis. Science. 2003;299:2074–2076. doi: 10.1126/science.1080029. [DOI] [PubMed] [Google Scholar]
- 21.Pacheco AR, Munera D, Waldor MK, Sperandio V, Ritchie JM. Fucose sensing regulates bacterial intestinal colonization. Nature. 2012;492:113–117. doi: 10.1038/nature11623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Dallas, D. C., Sela, D., Underwood, M. A., German, J. B. & Lebrilla, C. Protein-linked glycan degradation in infants fed human milk. J. Glycomics Lipidomics2, S1–002. (2012). [DOI] [PMC free article] [PubMed]
- 23.Marcobal A, et al. A metabolomic view of how the human gut microbiota impacts the host metabolome using humanized and gnotobiotic mice. ISME J. 2013;7:1933–1943. doi: 10.1038/ismej.2013.89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ng KM, et al. Microbiota-liberated host sugars facilitate post-antibiotic expansion of enteric pathogens. Nature. 2013;502:96. doi: 10.1038/nature12503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dwivedi R, et al. L-fucose influences chemotaxis and biofilm formation in Campylobacter jejuni. Mol. Microbiol. 2016;101:575–589. doi: 10.1111/mmi.13409. [DOI] [PubMed] [Google Scholar]
- 26.Becerra JE, Yebra MJ, Monedero V. An L-fucose operon in the probiotic Lactobacillus rhamnosus GG is involved in adaptation to gastrointestinal conditions. Appl. Environ. Microbiol. 2015;81:3880–3888. doi: 10.1128/AEM.00260-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Badia J, Ros J, Aguilar J. Fermentation mechanism of fucose and rhamnose in Salmonella typhimurium and Klebsiella pneumoniae. J. Bacteriol. 1985;161:435–437. doi: 10.1128/jb.161.1.435-437.1985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Coyne MJ, Reinap B, Lee MM, Comstock LE. Human symbionts use a host-like pathway for surface fucosylation. Science. 2005;307:1778–1781. doi: 10.1126/science.1106469. [DOI] [PubMed] [Google Scholar]
- 29.Elhenawy W, Debelyy MO, Feldman MF. Preferential packing of acidic glycosidases and proteases into Bacteroides outer membrane vesicles. MBio. 2014;5:e00909–e00914. doi: 10.1128/mBio.00909-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hobbs ME, et al. Discovery of an L‑fucono-1,5-lactonase from cog3618 of the amidohydrolase superfamily. Biochemistry. 2013;52:239–253. doi: 10.1021/bi3015554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Krissinel E, Henrick K. Inference of macromolecular assemblies from crystalline state. J. Mol. Biol. 2007;372:774–797. doi: 10.1016/j.jmb.2007.05.022. [DOI] [PubMed] [Google Scholar]
- 32.Singh A, Arutyunov D, McDermott MT, Szymanski CM, Evoy S. Specific detection of Campylobacter jejuni using the bacteriophage NCTC 12673 receptor binding protein as a probe. Analyst. 2011;136:4780. doi: 10.1039/c1an15547d. [DOI] [PubMed] [Google Scholar]
- 33.Hobbs Joanne K., Pluvinage Benjamin, Boraston Alisdair B. Glycan‐metabolizing enzymes in microbe–host interactions: the Streptococcus pneumoniae paradigm. FEBS Letters. 2018;592(23):3865–3897. doi: 10.1002/1873-3468.13045. [DOI] [PubMed] [Google Scholar]
- 34.Chaput C, Labigne A, Boneca IG. Characterization of Helicobacter pylori lytic transglycosylases Slt and MltD. J. Bacteriol. 2007;189:422–429. doi: 10.1128/JB.01270-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Oshida T, et al. A Staphylococcus aureus autolysin that has an N-acetylmuramoyl-L-alanine amidase domain and an endo-f8-N-acetylglucosaminidase domain: cloning, sequence analysis, and characterization. Proc. Natl Acad. Sci. USA. 1995;92:285–289. doi: 10.1073/pnas.92.1.285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lezyk M, et al. Novel α-l-fucosidases from a soil metagenome for production of fucosylated human milk oligosaccharides. PLoS ONE. 2016;11:1–18. doi: 10.1371/journal.pone.0147438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Cuív PÓ, et al. Draft genome sequence of Bacteroides vulgatus PC510, a strain isolated from human feces. J. Bacteriol. 2011;193:4025–4026. doi: 10.1128/JB.05256-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Rakoff-Nahoum S, Foster KR, Comstock LE. The evolution of cooperation within the gut microbiota. Nature. 2016;533:255–259. doi: 10.1038/nature17626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Cao Y, Rocha ER, Smith CJ. Efficient utilization of complex N-linked glycans is a selective advantage for Bacteroides fragilis in extraintestinal infections. Proc. Natl Acad. Sci. USA. 2014;111:12901–12906. doi: 10.1073/pnas.1407344111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Nothaft H, Szymanski CM. Protein glycosylation in bacteria: Sweeter than ever. Nat. Rev. Microbiol. 2010;8:765–778. doi: 10.1038/nrmicro2383. [DOI] [PubMed] [Google Scholar]
- 41.Yew WS, et al. Evolution of enzymatic activities in the enolase superfamily: l-fuconate dehydratase from Xanthomonas campestris. Biochemistry. 2006;45:14582–14597. doi: 10.1021/bi061687o. [DOI] [PubMed] [Google Scholar]
- 42.van der Hooft JJJ, et al. Unexpected differential metabolic responses of Campylobacter jejuni to the abundant presence of glutamate and fucose. Metabolomics. 2018;14:144. doi: 10.1007/s11306-018-1438-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Nunoshiba T, Hashimoto M, Nishioka H. Cross-adaptive response in Escherichia coli caused by pretreatment with H2O2 against formaldehyde and other aldehyde compounds. Mutat. Res. Repair. 1991;255:265–271. doi: 10.1016/0921-8777(91)90030-S. [DOI] [PubMed] [Google Scholar]
- 44.LeBlanc DJ, Mortlock RP. Metabolism of d-arabinose: a new pathway in Escherichia coli. J. Bacteriol. 1971;106:90–96. doi: 10.1128/jb.106.1.90-96.1971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Wolf J, et al. A systems biology approach reveals major metabolic changes in the thermoacidophilic archaeon Sulfolobus solfataricus in response to the carbon source l-fucose versus d-glucose. Mol. Microbiol. 2016;102:882–908. doi: 10.1111/mmi.13498. [DOI] [PubMed] [Google Scholar]
- 46.Brouns SJJ, et al. Identification of the missing links in prokaryotic pentose oxidation pathways: Evidence for enzyme recruitment. J. Biol. Chem. 2006;281:27378–27388. doi: 10.1074/jbc.M605549200. [DOI] [PubMed] [Google Scholar]
- 47.Tang Yun, Zhu Zhen-Yuan, Liu Yao, Sun Huiqing, Song Qiao-Ying, Zhang Yongmin. The chemical structure and anti-aging bioactivity of an acid polysaccharide obtained from rose buds. Food & Function. 2018;9(4):2300–2312. doi: 10.1039/C8FO00206A. [DOI] [PubMed] [Google Scholar]
- 48.Liu X, et al. Preliminary characterization of the structure and immunostimulatory and anti-aging properties of the polysaccharide fraction of: Haematococcus pluvialis. RSC Adv. 2018;8:9243–9252. doi: 10.1039/C7RA11153C. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Thoden JB, Timson DJ, Reece RJ, Holden HM. Molecular structure of human galactose mutarotase. J. Biol. Chem. 2004;279:23431–23437. doi: 10.1074/jbc.M402347200. [DOI] [PubMed] [Google Scholar]
- 50.Zautner AE, Malik Tareen A, Groß U, Lugert R. Chemotaxis in Campylobacter jejuni. Eur. J. Microbiol. Immunol. 2012;2:24–31. doi: 10.1556/EuJMI.2.2012.1.5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.van der Stel, A.-X. et al. Catabolite repression in Campylobacter jejuni correlates with intracellular succinate levels. Environ. Microbiol.20, 1374–1388 (2018). [DOI] [PubMed]
- 52.Liu S, et al. The fucosidase-pool of Emticicia oligotrophica: biochemical characterization and transfucosylation potential. Glycobiology. 2016;26:871–879. doi: 10.1093/glycob/cww030. [DOI] [PubMed] [Google Scholar]
- 53.Oyarzabal OA, Macklin KS, Barbaree JM, Miller RS. Evaluation of agar plates for direct enumeration of Campylobacter spp. from poultry carcass rinses. Appl. Environ. Microbiol. 2005;71:3351–3354. doi: 10.1128/AEM.71.6.3351-3354.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Stintzi A. Gene expression profile of Campylobacter jejuni in response to growth temperature variation. J. Bacteriol. 2003;185:2009–2016. doi: 10.1128/JB.185.6.2009-2016.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat. Methods. 2012;9:357. doi: 10.1038/nmeth.1923. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Anders S, Pyl PT, Huber W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–169. doi: 10.1093/bioinformatics/btu638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Luo W, Friedman MS, Shedden K, Hankenson KD, Woolf PJ. GAGE: generally applicable gene set enrichment for pathway analysis. BMC Bioinforma. 2009;10:161. doi: 10.1186/1471-2105-10-161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Butcher J, Handley RA, van Vliet AHM, Stintzi A. Refined analysis of the Campylobacter jejuni iron-dependent/independent Fur- and PerR-transcriptomes. BMC Genomics. 2015;16:498. doi: 10.1186/s12864-015-1661-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Sacher Jessica, Flint Annika, Butcher James, Blasdel Bob, Reynolds Hayley, Lavigne Rob, Stintzi Alain, Szymanski Christine. Transcriptomic Analysis of the Campylobacter jejuni Response to T4-Like Phage NCTC 12673 Infection. Viruses. 2018;10(6):332. doi: 10.3390/v10060332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pluvinage B, et al. Inhibition of the pneumococcal virulence factor StrH and molecular insights into N-glycan recognition and hydrolysis. Structure. 2011;19:1603–1614. doi: 10.1016/j.str.2011.08.011. [DOI] [PubMed] [Google Scholar]
- 62.Otwinowski Z, Minor W. Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol. 1997;276:307–326. doi: 10.1016/S0076-6879(97)76066-X. [DOI] [PubMed] [Google Scholar]
- 63.McCoy AJ, et al. Phaser crystallographic software. J. Appl. Crystallogr. 2007;40:658–674. doi: 10.1107/S0021889807021206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Cowtan K. The Buccaneer software for automated model building. 1. Tracing protein chains. Acta Crystallogr. D. Biol. Crystallogr. 2006;62:1002–1011. doi: 10.1107/S0907444906022116. [DOI] [PubMed] [Google Scholar]
- 65.Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D. Biol. Crystallogr. 2004;60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
- 66.Adams PD, et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. Biol. Crystallogr. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Brunger AT. Free R value: a novel statistical quantity for assessing the accuracy of crystal structures. Nature. 1992;355:472–475. doi: 10.1038/355472a0. [DOI] [PubMed] [Google Scholar]
- 68.Chen VB, et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D. Biol. Crystallogr. 2010;66:12–21. doi: 10.1107/S0907444909042073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Soo Evelyn C., Aubry Annie J., Logan Susan M., Guerry Patricia, Kelly John F., Young N. Martin, Thibault Pierre. Selective Detection and Identification of Sugar Nucleotides by CE−Electrospray-MS and Its Application to Bacterial Metabolomics. Analytical Chemistry. 2004;76(3):619–626. doi: 10.1021/ac034875i. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are available from the corresponding author. The source data underlying Figs. 1a, b, 3a–c and 4a, b and Supplementary Figs. 2, 3, 4, 6, 7, 8, and 9 are provided in Supplementary Data 1. The spectral data for Supplementary Figs. 1 and 5 are provided Supplementary Data 2. The RNAseq data has been deposited to the NCBI SRA archive under accession number PRJNA514712. Coordinates and structure factors for FucX and FucX in complex with NADP+ have been deposited with the PDB codes 6DRR and 6DS1, respectively. Their PDB validation reports are provided as Supplementary Data 3 and 4, respectively.