Linking plasmid-based beta-lactamases to their bacterial hosts using single-cell fusion PCR

  1. Peter J Diebold
  2. Felicia N New
  3. Michael Hovan
  4. Michael J Satlin
  5. Ilana Brito  Is a corresponding author
  1. Cornell University, United States
  2. Robert Woods Johnson Medical School, United States
  3. Weill Cornell Medicine, United States

Abstract

The horizonal transfer of plasmid-encoded genes allows bacteria to adapt to constantly shifting environmental pressures, bestowing functional advantages to their bacterial hosts such as antibiotic resistance, metal resistance, virulence factors, and polysaccharide utilization. However, common molecular methods such as short- and long-read sequencing of microbiomes cannot associate extrachromosomal plasmids with the genome of the host bacterium. Alternative methods to link plasmids to host bacteria are either laborious, expensive or prone to contamination. Here we present the One-step Isolation and Lysis PCR (OIL-PCR) method, which molecularly links plasmid encoded genes with the bacterial 16S rRNA gene via fusion PCR performed within an emulsion. After validating this method, we apply it to identify the bacterial hosts of three clinically relevant beta-lactamases within the gut microbiomes of neutropenic patients, as they are particularly vulnerable multidrug-resistant infections. We successfully detect the known association of a multi-drug resistant plasmid with Klebsiella pneumoniae, as well as the novel associations of two low-abundance genera, Romboutsia and Agathobacter. Further investigation with OIL-PCR confirmed that our detection of Romboutsia is due to its physical association with Klebsiella as opposed to directly harboring the genes. Here we put forth a robust, accessible, and high-throughput platform for sensitively surveying the bacterial hosts of mobile genes, as well as detecting physical bacterial associations such as those occurring within biofilms and complex microbial communities.

Data availability

All fusion PCR amplicons are deposited in SRA under the accession number PRJNA701446. The metagenomic samples analyzed can be obtained through SRA with under the accession number PRJNA649316.

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Peter J Diebold

    Biomedical Engineering, Cornell University, Ithaca, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Felicia N New

    Biomedical Engineering, Cornell University, Ithaca, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Michael Hovan

    Department of Medicine, Robert Woods Johnson Medical School, New Brunswick, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Michael J Satlin

    Infectious Disease, Weill Cornell Medicine, New York City, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Ilana Brito

    Biomedical Engineering, Cornell University, Ithaca, United States
    For correspondence
    ibrito@cornell.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2250-3480

Funding

Centers for Disease Control and Prevention (OADS BAA 2016-N-17812)

  • Michael J Satlin
  • Ilana Brito

National Science Foundation (1661338)

  • Ilana Brito

National Science Foundation (1650122)

  • Ilana Brito

National Institutes of Health (K23 AI114994)

  • Michael J Satlin

National Institutes of Health (1DP2HL141007-01)

  • Ilana Brito

Pew Charitable Trusts

  • Ilana Brito

Alfred P. Sloan Foundation

  • Ilana Brito

David and Lucile Packard Foundation

  • Ilana Brito

State University of New York

  • Felicia N New

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

Reviewing Editor

  1. Sophie Helaine, Harvard Medical School, United States

Ethics

Human subjects: All human subjects research was approved by the Weill Cornell Medicine IRB (#1504016114) and Cornell University IRB (#1609006586). Informed consent and consent to publish were obtained from individuals receiving a hematopoietic stem cell transplant at NewYork-Presbyterian Hospital/Weill Cornell Medical Center. Serial stool samples were obtained from consenting patients. Consent documents and procedures were approved by the Institutional Review Boards at Weill Cornell Medical College (#1504016114) and Cornell University (#1609006586).

Version history

  1. Received: January 22, 2021
  2. Preprint posted: January 23, 2021 (view preprint)
  3. Accepted: June 30, 2021
  4. Accepted Manuscript published: July 20, 2021 (version 1)
  5. Version of Record published: July 21, 2021 (version 2)

Copyright

© 2021, Diebold et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,747
    views
  • 304
    downloads
  • 18
    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. Peter J Diebold
  2. Felicia N New
  3. Michael Hovan
  4. Michael J Satlin
  5. Ilana Brito
(2021)
Linking plasmid-based beta-lactamases to their bacterial hosts using single-cell fusion PCR
eLife 10:e66834.
https://doi.org/10.7554/eLife.66834

Share this article

https://doi.org/10.7554/eLife.66834

Further reading

    1. Genetics and Genomics
    Tiechao Ruan, Ruixi Zhou ... Ying Shen
    Research Article

    IQ motif-containing proteins can be recognized by calmodulin (CaM) and are essential for many biological processes. However, the role of IQ motif-containing proteins in spermatogenesis is largely unknown. In this study, we identified a loss-of-function mutation in the novel gene IQ motif-containing H (IQCH) in a Chinese family with male infertility characterized by a cracked flagellar axoneme and abnormal mitochondrial structure. To verify the function of IQCH, Iqch knockout (KO) mice were generated via CRISPR-Cas9 technology. As expected, the Iqch KO male mice exhibited impaired fertility, which was related to deficient acrosome activity and abnormal structures of the axoneme and mitochondria, mirroring the patient phenotypes. Mechanistically, IQCH can bind to CaM and subsequently regulate the expression of RNA-binding proteins (especially HNRPAB), which are indispensable for spermatogenesis. Overall, this study revealed the function of IQCH, expanded the role of IQ motif-containing proteins in reproductive processes, and provided important guidance for genetic counseling and genetic diagnosis of male infertility.

    1. Computational and Systems Biology
    2. Genetics and Genomics
    Ardalan Naseri, Degui Zhi, Shaojie Zhang
    Research Article Updated

    Runs-of-homozygosity (ROH) segments, contiguous homozygous regions in a genome were traditionally linked to families and inbred populations. However, a growing literature suggests that ROHs are ubiquitous in outbred populations. Still, most existing genetic studies of ROH in populations are limited to aggregated ROH content across the genome, which does not offer the resolution for mapping causal loci. This limitation is mainly due to a lack of methods for the efficient identification of shared ROH diplotypes. Here, we present a new method, ROH-DICE (runs-of-homozygous diplotype cluster enumerator), to find large ROH diplotype clusters, sufficiently long ROHs shared by a sufficient number of individuals, in large cohorts. ROH-DICE identified over 1 million ROH diplotypes that span over 100 single nucleotide polymorphisms (SNPs) and are shared by more than 100 UK Biobank participants. Moreover, we found significant associations of clustered ROH diplotypes across the genome with various self-reported diseases, with the strongest associations found between the extended human leukocyte antigen (HLA) region and autoimmune disorders. We found an association between a diplotype covering the homeostatic iron regulator (HFE) gene and hemochromatosis, even though the well-known causal SNP was not directly genotyped or imputed. Using a genome-wide scan, we identified a putative association between carriers of an ROH diplotype in chromosome 4 and an increase in mortality among COVID-19 patients (p-value = 1.82 × 10−11). In summary, our ROH-DICE method, by calling out large ROH diplotypes in a large outbred population, enables further population genetics into the demographic history of large populations. More importantly, our method enables a new genome-wide mapping approach for finding disease-causing loci with multi-marker recessive effects at a population scale.