LptM promotes oxidative maturation of the lipopolysaccharide translocon by substrate binding mimicry.

Yang, Y.; Chen, H.; Corey, R.; Morales, V.; Quentin, Y.; Froment, C.; Caumont-Sarcos, A.; Albenne, C.; Burlet-Schiltz, O.; Ranava, D.; Stansfeld, P. J.; Marcoux, J.; Ieva, R.

doi:10.1101/2023.01.02.522452

bioRxiv · 10.1101/2023.01.02.522452

LptM promotes oxidative maturation of the lipopolysaccharide translocon by substrate binding mimicry.

Yang, Y.·Chen, H.·Corey, R.·Morales, V.·Quentin, Y.·Froment, C.·Caumont-Sarcos, A.·Albenne, C.·Burlet-Schiltz, O.·Ranava, D.·Stansfeld, P. J.·Marcoux, J.·Ieva, R.

View original source ↗Export metadata ↓

Abstract

Insertion of lipopolysaccharide (LPS) into the outer membrane (OM) of Gram-negative bacteria is mediated by a druggable OM translocon consisting of a {beta}-barrel membrane protein, LptD, and a lipoprotein, LptE. The {beta}-barrel assembly machinery (BAM) assembles LptD together with LptE to form a plug-and-barrel structure. In the enterobacterium Escherichia coli, formation of two native disulfide bonds in LptD controls LPS translocon activation. Here we report the discovery of LptM (formerly YifL), a conserved lipoprotein that assembles together with LptD and LptE at the BAM complex. We demonstrate that LptM stabilizes a conformation of LptD that can efficiently acquire native disulfide bonds and be released as mature LPS translocon by the BAM complex. Inactivation of LptM causes the accumulation of non-natively oxidized LptD, making disulfide bond isomerization by DsbC become essential for viability. Our structural prediction and biochemical analyses indicate that LptM binds to sites in both LptD and LptE that are proposed to coordinate LPS insertion into the OM. These results suggest that LptM facilitates oxidative maturation of LptD by mimicking LPS binding, thereby activating the LPS translocon.

Source connections

Published article ↗

Explore related subjects

microbiology Preprint

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Yang, Y., Chen, H., Corey, R., Morales, V., Quentin, Y., Froment, C., Caumont-Sarcos, A., Albenne, C., Burlet-Schiltz, O., Ranava, D., Stansfeld, P. J., Marcoux, J., Ieva, R.. 2023-01-03. LptM promotes oxidative maturation of the lipopolysaccharide translocon by substrate binding mimicry.. https://doi.org/10.1101/2023.01.02.522452

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

bioRxiv2026

Beta-lactam enhancement against methicillin-resistant Staphylococcus aureus by cell wall blockade is autolysis-dependent: a butyrolactone derivative as case in point

Methicillin-resistant Staphylococcus aureus (MRSA) is non-susceptible to beta-lactams. Blockade of cell wall biosynthesis is a potential target for beta-lactam enhancement but requires further investigation. A butyrolactone derivative enhanced beta-lactams against MRSA strains by reducing the availability of D-Ala-D-Ala. Unlike D-cycloserine, it did not inhibit D-Ala-D-Ala ligase (Ddl). Nor did it show an additive or synergistic effect when combined with cycloserine, indicating a unique mechanism for blocking cell wall precursor production that does not involve the traditional Lipid II pathway. Notably, beta-lactam potentiation by our chemical or D-cycloserine was highly dependent on the intrinsic autolytic ability of the tested MRSA strains. Strains that resisted lysis upon Triton X-100 exposure showed a minimal increase in beta-lactam susceptibility, whereas highly autolytic strains showed significant changes in their beta-lactam MICs. We have thus identified autolytic ability as the Achilles Heel in the strategy of targeting cell wall biosynthesis for beta-lactam potentiation.

microbiology↗

bioRxiv2026

Rapid and largely reversible shifts in the canine fecal metabolome during dietary change

Diet can rapidly change the fecal metabolome, but less is known about recovery after the original diet is restored. We used untargeted UPLC-MS metabolomics to analyze 72 fecal samples from nine Pumi dogs during an owner-managed switch from dry food to raw food and back to dry food. Diet phase accounted for a large proportion of variation in both ionization modes. More than 13,000 LC-MS features changed at the first sampling point after the switch to raw food, with a similarly large response after return to dry food. Among features significant in both comparisons, more than 99% changed in opposite directions. At the final sampling point, no positive-mode (ESI+) features and only 13 negative-mode (ESI-) features differed from the second dry-food baseline under the same threshold. BARF-associated patterns persisted in analyses excluding individual dogs and in pedigree-adjusted candidate models, although individual feature effects depended on normalization. Putative metabolites from several biochemical classes differed in their response and recovery. The fecal metabolome therefore changed rapidly and returned largely toward baseline, with differences among dogs.

microbiology↗