The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Outer membrane utilisomes mediate glycan uptake in gut Bacteroidetes
Open accessPublished version of a preprint
Abstract
Abstract Bacteroidetes are abundant members of the human microbiota, with species occupying the distal gut capable of utilising a myriad of diet- and host-derived glycans. Transport of glycans across the outer membrane (OM) of these bacteria is mediated by SusCD protein complexes, comprising a membrane-embedded barrel and a lipoprotein lid, that are thought to operate via a ‘pedal-bin’ mechanism in which the lids open and close to facilitate substrate binding. However, additional cell surface-exposed lipoproteins, namely surface glycan binding proteins and glycoside hydrolases, play critical roles in the capture and processing of large glycan chains into transport-competent substrates. Despite constituting a crucial mechanism of nutrient acquisition by our colonic microbiota, the interactions between these components in the OM are poorly understood. Here we show that for the levan and dextran utilisation systems of Bacteroides thetaiotaomicron, the additional OM components assemble on the core SusCD transporter, forming stable glycan utilising machines which we term ‘utilisomes’. Single particle electron cryogenic electron microscopy (cryo-EM) structures in the absence and presence of substrate reveal concerted conformational changes that rationalise the role of each component for efficient nutrient capture, as well as providing a direct demonstration of the pedal bin mechanism of substrate capture in the intact utilisome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Gut microbiota in human metabolic health and disease
Fan, Y., & Pedersen, O. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0433-9 · Cited by 4,724
Molecular Basis of Bacterial Outer Membrane Permeability Revisited
Nikaido, H. (2003) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.67.4.593-656.2003 · Cited by 4,316
Perineuronal nets stabilize the grid cell network
Christensen, A. C., Lensjø, K. K., Lepperød, M. E., Dragly, S.-A., Sutterud, H., Blackstad, J. S., Fyhn, M., & Hafting, T. (2021) · Nature Communications · doi:10.1038/s41467-020-20241-w · Cited by 1,865
How glycan metabolism shapes the human gut microbiota
Koropatkin, N. M., Cameron, E. A., & Martens, E. C. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2746 · Cited by 1,419
Flagged first, then by citations
Research works printed but not linked: 59
- Hamaker, B. R. & Tuncil, Y. E. A perspective on the complexity of dietary fiber structures and their potential effect on the gut microbiota. J. Mol. Biol. 426, 3838–3850 (2014). · DOI
- Morrison, D. J. & Preston, T. Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism. Gut Microbes 7, 189–200 (2016). · DOI · Paper page
- Koh, A., De Vadder, F., Kovatcheva-Datchary, P. & Bäckhed, F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell 165, 1332–1345 (2016). · DOI · Paper page
- Huttenhower, C. et al. Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 (2012). · DOI · Paper page
- Martens, E. C., Koropatkin, N. M., Smith, T. J. & Gordon, J. I. Complex glycan catabolism by the human gut microbiota: the Bacteroidetes Sus-like paradigm. J. Biol. Chem. 284, 24673–24677 (2009). · DOI
- Bolam, D. N. & van den Berg, B. TonB-dependent transport by the gut microbiota: novel aspects of an old problem. Curr. Opin. Struct. Biol. 51, 35–43 (2018). · DOI
- Glenwright, A. J. et al. Structural basis for nutrient acquisition by dominant members of the human gut microbiota. Nature 541, 407–411 (2017). · DOI
- Madej, M. et al. Structural and functional insights into oligopeptide acquisition by the RagAB transporter from Porphyromonas gingivalis. Nat. Microbiol. 5, 1016–1025 (2020). · DOI
- Gray, D. A. et al. Insights into SusCD-mediated glycan import by a prominent gut symbiont. Nat. Commun. 12, 44 (2021). · DOI
- Terrapon, N. et al. PULDB: the expanded database of polysaccharide utilization loci. Nucleic Acids Res. 46, D677–D683 (2018). · DOI
- Sonnenburg, E. D. et al. Specificity of polysaccharide use in intestinal bacteroides species determines diet-induced microbiota alterations. Cell 141, 1241–1252 (2010). · DOI
- Öner, E. T., Hernández, L. & Combie, J. Review of Levan polysaccharide: from a century of past experiences to future prospects. Biotechnol. Adv. 34, 827–844 (2016). · DOI
- Mardo, K. et al. A highly active endo-levanase BT1760 of a dominant mammalian gut commensal Bacteroides thetaiotaomicron cleaves not only various bacterial levans, but also levan of timothy grass. PLoS ONE 12, e0169989 (2017). · DOI
- Bolam, D. N. & Sonnenburg, J. L. Mechanistic insight into polysaccharide use within the intestinal microbiota. Gut Microbes 2, 86–90 (2011). · DOI
- Reeves, A. R., Wang, G. R. & Salyers, A. A. Characterization of four outer membrane proteins that play a role in utilization of starch by Bacteroides thetaiotaomicron. J. Bacteriol. 179, 643–649 (1997). · DOI
- Cho, K. H. & Salyers, A. A. Biochemical analysis of interactions between outer membrane proteins that contribute to starch utilization by Bacteroides thetaiotaomicron. J. Bacteriol. 183, 7224–7230 (2001). · DOI
- Karunatilaka, K. S., Cameron, E. A., Martens, E. C., Koropatkin, N. M. & Biteen, J. S. Superresolution imaging captures carbohydrate utilization dynamics in human gut symbionts. mBio 5, e02172 (2014). · DOI
- Tuson, H. H., Foley, M. H., Koropatkin, N. M. & Biteen, J. S. The starch utilization system assembles around stationary starch-binding proteins. Biophys. J. 115, 242–250 (2018). · DOI
- Tamura, K. & Brumer, H. Glycan utilization systems in the human gut microbiota: a gold mine for structural discoveries. Curr. Opin. Struct. Biol. 68, 26–40 (2020). · DOI
- Nilaweera, T. D., Nyenhuis, D. A. & Cafiso, D. S. Structural intermediates observed only in intact Escherichia coli indicate a mechanism for TonB-dependent transport. eLife 10, e68548 (2021). · DOI
- Zmyslowski, A. M., Baxa, M. C., Gagnon, I. A. & Sosnick, T. R. HDX-MS performed on BtuB in E. coli outer membranes delineates the luminal domain’s allostery and unfolding upon B12 and TonB binding. Proc. Natl Acad. Sci. USA 119, e2119436119 (2022). · DOI
- Cuyvers, S., Dornez, E., Delcour, J. A. & Courtin, C. M. Occurrence and functional significance of secondary carbohydrate binding sites in glycoside hydrolases. Crit. Rev. Biotechnol. 32, 93–107 (2011). · DOI
- Ernits, K., Eek, P., Lukk, T., Visnapuu, T. & Alamäe, T. First crystal structure of an endo-levanase – the BT1760 from a human gut commensal Bacteroides thetaiotaomicron. Sci. Rep. 9, 8443 (2019). · DOI
- Tamura, K. et al. Surface glycan-binding proteins are essential for cereal beta-glucan utilization by the human gut symbiont Bacteroides ovatus. Cell. Mol. Life Sci. 76, 4319–4340 (2019). · DOI
- Tamura, K., Dejean, G., Van Petegem, F. & Brumer, H. Distinct protein architectures mediate species-specific beta-glucan binding and metabolism in the human gut microbiota. J. Biol. Chem. 296, 100415 (2021). · DOI
- Grondin, J. M., Tamura, K., Déjean, G., Abbott, D. W. & Brumer, H. Polysaccharide utilization loci: fueling microbial communities. J. Bacteriol. 199, e00860-16 (2017). · DOI · Paper page
- McKee, L. S. et al. Polysaccharide degradation by the Bacteroidetes: mechanisms and nomenclature. Environ. Microbiol. Rep. 13, 559–581 (2021). · DOI
- Rassam, P. et al. Supramolecular assemblies underpin turnover of outer membrane proteins in bacteria. Nature 523, 333–336 (2015). · DOI
- Benn, G. et al. Phase separation in the outer membrane of Escherichia coli. Proc. Natl Acad. Sci. USA 118, e2112237118 (2021). · DOI
- Briliūtė, J. et al. Complex N-glycan breakdown by gut Bacteroides involves an extensive enzymatic apparatus encoded by multiple co-regulated genetic loci. Nat. Microbiol. 4, 1571–1581 (2019). · DOI
- Martens, E. C. et al. Recognition and degradation of plant cell wall polysaccharides by two human gut symbionts. PLoS Biol. 9, e1001221 (2011). · DOI
- Ndeh, D. et al. Complex pectin metabolism by gut bacteria reveals novel catalytic functions. Nature 544, 65–70 (2017). · DOI
- Ritchie, M. E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015). · DOI · Paper page
- Ramlaul, K., Palmer, C. M. & Aylett, C. H. S. A local agreement filtering algorithm for transmission EM reconstructions. J. Struct. Biol. 205, 30–40 (2019). · DOI
- Koropatkin, N. M., Martens, E. C., Gordon, J. I. & Smith, T. J. Starch catabolism by a prominent human gut symbiont is directed by the recognition of amylose helices. Structure 16, 1105–1115 (2008). · DOI
- Zougman, A., Selby, P. J. & Banks, R. E. Suspension trapping (STrap) sample preparation method for bottom-up proteomics analysis. Proteomics 14, 1006-1000 (2014). · DOI
- HaileMariam, M. et al. S-Trap, an ultrafast sample-preparation approach for shotgun proteomics. J. Proteome Res. 17, 2917–2924 (2018). · DOI
- Cox, J. & Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat. Biotechnol. 26, 1367–1372 (2008). · DOI · Paper page
- Cox, J. et al. Andromeda: a peptide search engine integrated into the MaxQuant environment. J. Proteome Res. 10, 1794–1805 (2011). · DOI
- Winter, G. et al. DIALS: implementation and evaluation of a new integration package. Acta Crystallogr. D 74, 85–97 (2018). · DOI
- Winter, G. Xia2: an expert system for macromolecular crystallography data reduction. J. Appl. Crystallogr. 43, 186–190 (2010). · DOI
- Evans, P. R. & Murshudov, G. N. How good are my data and what is the resolution? Acta Crystallogr. D 69, 1204–1214 (2013). · DOI
- Evans, P. Scaling and assessment of data quality. Acta Crystallogr. D 62, 72–82 (2006). · DOI
- Skubak, P. et al. A new MR-SAD algorithm for the automatic building of protein models from low-resolution X-ray data and a poor starting model. Int. Union of Crystallogr. J. 5, 166–171 (2018). · DOI
- Kabsch, W. XDS. Acta Crystallogr. D 66, 125–132 (2010). · DOI · Paper page
- Krissinel, E., Uski, V., Lebedev, A., Winn, M. & Ballard, C. Distributed computing for macromolecular crystallography. Acta Crystallogr. D 74, 143–151 (2018). · DOI
- Vagin, A. A. et al. REFMAC5 dictionary: organization of prior chemical knowledge and guidelines for its use. Acta Crystallogr. D 60, 2184–2195 (2004). · DOI
- Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010). · DOI · Paper page
- Winn, M. D. et al. Overview of the CCP4 suite and current developments. Acta Crystallogr. D 67, 235–242 (2011). · DOI · Paper page
- Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr. D 75, 861–877 (2019). · DOI · Paper page
- Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife 7, e42166 (2018). · DOI
- Zheng, S. Q. et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods 14, 331–332 (2017). · DOI
- Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016). · DOI
- Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Commun. Biol. 2, 218 (2019). · DOI
- Pettersen, E. F. et al. UCSF Chimera-a visualization system for exploratory research and analysis. J. Comput. Chem. 25, 1605–1612 (2004). · DOI
- Rohou, A. & Grigorieff, N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015). · DOI
- Hoh, S. W., Burnley, T. & Cowtan, K. Current approaches for automated model building into cryo-EM maps using Buccaneer with CCP-EM. Acta Crystallogr. D 76, 531–541 (2020). · DOI
- Burnley, T., Palmer, C. M. & Winn, M. Recent developments in the CCP-EM software suite. Acta Crystallogr. D 73, 469–477 (2017). · DOI
- Goddard, T. D. et al. UCSF ChimeraX: meeting modern challenges in visualization and analysis. Protein Sci. 27, 14–25 (2018). · DOI · Paper page
Cited by
Sorted by citations
Unusual molecular architecture of a human gut microbiota β-mannanase reveals a new CBM family
Łoś, N., Lelėnaitė, I., Willats, W. G. T., Terrapon, N., Morales-García, A. L., Yau, H. C. L., Lowe, E. C., & Bolam, D. N. (2026) · doi:10.64898/2026.02.11.704390
Self-citation
Metadata
- Authors
- White, J. B. R., Silale, A., Feasey, M., Heunis, T., Zhu, Y., Zheng, H., Gajbhiye, A., Firbank, S., Baslé, A., Trost, M., Bolam, D. N., van den Berg, B., & Ranson, N. A.
- Affiliations
- University of Leeds (GB)
- Newcastle University (GB)
- Corresponding author
- van den Berg, Bert
- Ranson, Neil A.
- ORCID
- Venue
- Nature
- Published
- 2023-06-07
- Volume
- 618
- Issue
- 7965
- Pages
- 583-589
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7618045
- OpenAlex
- W4379768254
- Cited by
- 55
- References
- 6
- Citations by year
- 2026: 16 · 2025: 13 · 2024: 15 · 2023: 10
- FWCI
- 8.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Wellcome Trust (214222, 221524, 215064/Z/18/Z, 108466, 215064, 214222/Z/18/Z, /Z/15/Z, 221524/Z/20/Z, 108466/Z/15/Z)
- Diamond Light Source (mx1221, mx13587, mx18598)
- Newcastle University (mx18598)
- University of Leeds (108466/Z/15/Z)
- Biotechnology and Biological Sciences Research Council (REI20490)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- outer membrane, Bacteroides thetaiotaomicron, Bacteroidetes, glycan-binding proteins, glycoside hydrolases, colonic microbiota, nutrient acquisition, transporter conformational change, cryo-EM structure
- MeSH terms
- Bacteroides thetaiotaomicron, Bacterial Outer Membrane, Bacterial Outer Membrane Proteins, Glycoside Hydrolases, Humans, Polysaccharides, Gastrointestinal Tract
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review