Cryo-EM reveals species-specific components within the Helicobacter pylori Cag type IV secretion system core complex

  1. Michael J Sheedlo
  2. Jeong Min Chung
  3. Neha Sawhney
  4. Clarissa L Durie
  5. Timothy L Cover  Is a corresponding author
  6. Melanie D Ohi  Is a corresponding author
  7. D Borden Lacy  Is a corresponding author
  1. Vanderbilt University Medical Center, United States
  2. University of Michigan, United States
  3. Vanderbilt University School of Medicine, United States
  4. University Of Michigan, United States

Abstract

The pathogenesis of Helicobacter pylori-associated gastric cancer is dependent on delivery of CagA into host cells through a type IV secretion system (T4SS). The H. pylori Cag T4SS includes a large membrane-spanning core complex containing 5 proteins, organized into an outer membrane cap (OMC), a periplasmic ring (PR) and a stalk. Here, we report cryo-EM reconstructions of a core complex lacking Cag3 and an improved map of the wild-type complex. We define the structures of two unique species-specific components (Cag3 and CagM) and show that Cag3 is structurally similar to CagT. Unexpectedly, components of the OMC are organized in a 1:1:2:2:5 molar ratio (CagY:CagX:CagT:CagM:Cag3). CagX and CagY are components of both the OMC and the PR and bridge the symmetry mismatch between these regions. These results reveal that assembly of the H. pylori T4SS core complex is dependent on incorporation of interwoven species-specific components.

Data availability

All cryo-EM data included in this manuscript are available through the Electron Microscopy Data Bank (EMD-20021, EMD-22081, EMD-22076, and EMD-22077). All models that were constructed from these data are available via the Protein Data Bank (PDB 6X6S, 6X6J, 6X6K, and 6X6L).

The following data sets were generated

Article and author information

Author details

  1. Michael J Sheedlo

    Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3185-1727
  2. Jeong Min Chung

    Life Sciences Institute, University of Michigan, Ann Arbor, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4285-8764
  3. Neha Sawhney

    Department of Medicine, Vanderbilt University School of Medicine, Nasvhille, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4943-1018
  4. Clarissa L Durie

    Life Sciences Institute, University Of Michigan, Ann Arbor, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4027-4386
  5. Timothy L Cover

    Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, United States
    For correspondence
    timothy.l.cover@vumc.org
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8503-002X
  6. Melanie D Ohi

    Life Sciences Institute, University of Michigan, Ann Arbor, United States
    For correspondence
    mohi@umich.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1750-4793
  7. D Borden Lacy

    Pathology, Microbiology and Immunology; Biochemistry, Vanderbilt University Medical Center, Nashville, United States
    For correspondence
    borden.lacy@vanderbilt.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2273-8121

Funding

National Institute of Allergy and Infectious Diseases (AI118932)

  • Timothy L Cover
  • Melanie D Ohi
  • D Borden Lacy

National Institute of Allergy and Infectious Diseases (AI039657)

  • Timothy L Cover

National Cancer Institute (CA116087)

  • Timothy L Cover

National Institute of General Medical Sciences (GM103310)

  • Melanie D Ohi

National Institute of Diabetes and Digestive and Kidney Diseases (2T32DK007673)

  • Michael J Sheedlo

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Metrics

  • 2,581
    views
  • 305
    downloads
  • 40
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Michael J Sheedlo
  2. Jeong Min Chung
  3. Neha Sawhney
  4. Clarissa L Durie
  5. Timothy L Cover
  6. Melanie D Ohi
  7. D Borden Lacy
(2020)
Cryo-EM reveals species-specific components within the Helicobacter pylori Cag type IV secretion system core complex
eLife 9:e59495.
https://doi.org/10.7554/eLife.59495

Share this article

https://doi.org/10.7554/eLife.59495

Further reading

    1. Microbiology and Infectious Disease
    Lesia Semenova, Yingfan Wang ... Edward P Browne
    Research Article

    Understanding the interplay between the HIV reservoir and the host immune system may yield insights into HIV persistence during antiretroviral therapy (ART) and inform strategies for a cure. Here, we applied machine learning (ML) approaches to cross-sectional high-parameter HIV reservoir and immunology data in order to characterize host–reservoir associations and generate new hypotheses about HIV reservoir biology. High-dimensional immunophenotyping, quantification of HIV-specific T cell responses, and measurement of genetically intact and total HIV proviral DNA frequencies were performed on peripheral blood samples from 115 people with HIV (PWH) on long-term ART. Analysis demonstrated that both intact and total proviral DNA frequencies were positively correlated with T cell activation and exhaustion. Years of ART and select bifunctional HIV-specific CD4 T cell responses were negatively correlated with the percentage of intact proviruses. A leave-one-covariate-out inference approach identified specific HIV reservoir and clinical–demographic parameters, such as age and biological sex, that were particularly important in predicting immunophenotypes. Overall, immune parameters were more strongly associated with total HIV proviral frequencies than intact proviral frequencies. Uniquely, however, expression of the IL-7 receptor alpha chain (CD127) on CD4 T cells was more strongly correlated with the intact reservoir. Unsupervised dimension reduction analysis identified two main clusters of PWH with distinct immune and reservoir characteristics. Using reservoir correlates identified in these initial analyses, decision tree methods were employed to visualize relationships among multiple immune and clinical–demographic parameters and the HIV reservoir. Finally, using random splits of our data as training-test sets, ML algorithms predicted with approximately 70% accuracy whether a given participant had qualitatively high or low levels of total or intact HIV DNA . The techniques described here may be useful for assessing global patterns within the increasingly high-dimensional data used in HIV reservoir and other studies of complex biology.

    1. Microbiology and Infectious Disease
    Srinivasan Vijay, Nguyen Le Hoai Bao ... Nguyen Thuy Thuong
    Research Article

    Antibiotic tolerance in Mycobacterium tuberculosis reduces bacterial killing, worsens treatment outcomes, and contributes to resistance. We studied rifampicin tolerance in isolates with or without isoniazid resistance (IR). Using a minimum duration of killing assay, we measured rifampicin survival in isoniazid-susceptible (IS, n=119) and resistant (IR, n=84) isolates, correlating tolerance with bacterial growth, rifampicin minimum inhibitory concentrations (MICs), and isoniazid-resistant mutations. Longitudinal IR isolates were analyzed for changes in rifampicin tolerance and genetic variant emergence. The median time for rifampicin to reduce the bacterial population by 90% (MDK90) increased from 1.23 days (IS) and 1.31 days (IR) to 2.55 days (IS) and 1.98 days (IR) over 15–60 days of incubation, indicating fast and slow-growing tolerant sub-populations. A 6 log10-fold survival fraction classified tolerance as low, medium, or high, showing that IR is linked to increased tolerance and faster growth (OR = 2.68 for low vs. medium, OR = 4.42 for low vs. high, p-trend = 0.0003). High tolerance in IR isolates was associated with rifampicin treatment in patients and genetic microvariants. These findings suggest that IR tuberculosis should be assessed for high rifampicin tolerance to optimize treatment and prevent the development of multi-drug-resistant tuberculosis.