The Lyme Disease agent co-opts adiponectin receptor-mediated signaling in its arthropod vector

  1. Xiaotian Tang  Is a corresponding author
  2. Yongguo Cao
  3. Gunjan Arora
  4. Jesse Hwang
  5. Andaleeb Sajid
  6. Courtney L Brown
  7. Sameet Mehta
  8. Alejandro Marín-López
  9. Yu-Min Chuang
  10. Ming-Jie Wu
  11. Hongwei Ma
  12. Utpal Pal
  13. Sukanya Narasimhan
  14. Erol Fikrig  Is a corresponding author
  1. Yale University, United States
  2. Yale University School of Medicine, United States
  3. University of Maryland, United States

Abstract

Adiponectin-mediated pathways contribute to mammalian homeostasis; however, little is known about adiponectin and adiponectin receptor signaling in arthropods. In this study, we demonstrate that Ixodes scapularis ticks have an adiponectin receptor-like protein (ISARL) but lack adiponectin - suggesting activation by alternative pathways. ISARL expression is significantly upregulated in the tick gut after Borrelia burgdorferi infection suggesting that ISARL-signaling may be co-opted by the Lyme disease agent. Consistent with this, RNA interference (RNAi)-mediated silencing of ISARL significantly reduced the B. burgdorferi burden in the tick. RNA-seq-based transcriptomics and RNAi assays demonstrate that ISARL-mediated phospholipid metabolism by phosphatidylserine synthase I is associated with B. burgdorferi survival. Furthermore, the tick complement C1q-like protein 3 interacts with ISARL, and B. burgdorferi facilitates this process. This study identifies a new tick metabolic pathway that is connected to the life cycle of the Lyme disease spirochete.

Data availability

The RNA-seq data are available in the Gene Expression Omnibus (GEO) repository at the National Center for Biotechnology Information under the accession number: GSE169293.

The following data sets were generated

Article and author information

Author details

  1. Xiaotian Tang

    Yale University, New Haven, United States
    For correspondence
    xiaotian.tang@yale.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0171-9354
  2. Yongguo Cao

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-9533-7516
  3. Gunjan Arora

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Jesse Hwang

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Andaleeb Sajid

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Courtney L Brown

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-7423-3331
  7. Sameet Mehta

    Yale Center for Genome Analysis Bioinformatics, Yale University School of Medicine, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Alejandro Marín-López

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Yu-Min Chuang

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2241-5541
  10. Ming-Jie Wu

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Hongwei Ma

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Utpal Pal

    Department of Veterinary Medicine, University of Maryland, College Park, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Sukanya Narasimhan

    Yale University, New Haven, United States
    Competing interests
    The authors declare that no competing interests exist.
  14. Erol Fikrig

    Yale University, New Haven, United States
    For correspondence
    erol.fikrig@yale.edu
    Competing interests
    The authors declare that no competing interests exist.

Funding

National Institutes of Health (AI126033)

  • Erol Fikrig

National Institutes of Health (AI138949)

  • Erol Fikrig

Steven and Alexandra Cohen Foundation

  • Erol Fikrig

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

Ethics

Animal experimentation: Animal care and housing were performed according to the Guide for the Care and Use of laboratory Animals of National Institutes of Health, USA. All protocols in this study were approved by the Yale University Institutional Animal Care and Use Committee (YUIACUC) (approval number 2018-07941).

Copyright

© 2021, Tang 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

  • 1,079
    views
  • 142
    downloads
  • 8
    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. Xiaotian Tang
  2. Yongguo Cao
  3. Gunjan Arora
  4. Jesse Hwang
  5. Andaleeb Sajid
  6. Courtney L Brown
  7. Sameet Mehta
  8. Alejandro Marín-López
  9. Yu-Min Chuang
  10. Ming-Jie Wu
  11. Hongwei Ma
  12. Utpal Pal
  13. Sukanya Narasimhan
  14. Erol Fikrig
(2021)
The Lyme Disease agent co-opts adiponectin receptor-mediated signaling in its arthropod vector
eLife 10:e72568.
https://doi.org/10.7554/eLife.72568

Share this article

https://doi.org/10.7554/eLife.72568

Further reading

    1. Ecology
    2. Microbiology and Infectious Disease
    Tom Clegg, Samraat Pawar
    Research Article Updated

    Predicting how species diversity changes along environmental gradients is an enduring problem in ecology. In microbes, current theories tend to invoke energy availability and enzyme kinetics as the main drivers of temperature-richness relationships. Here, we derive a general empirically-grounded theory that can explain this phenomenon by linking microbial species richness in competitive communities to variation in the temperature-dependence of their interaction and growth rates. Specifically, the shape of the microbial community temperature-richness relationship depends on how rapidly the strength of effective competition between species pairs changes with temperature relative to the variance of their growth rates. Furthermore, it predicts that a thermal specialist-generalist tradeoff in growth rates alters coexistence by shifting this balance, causing richness to peak at relatively higher temperatures. Finally, we show that the observed patterns of variation in thermal performance curves of metabolic traits across extant bacterial taxa is indeed sufficient to generate the variety of community-level temperature-richness responses observed in the real world. Our results provide a new and general mechanism that can help explain temperature-diversity gradients in microbial communities, and provide a quantitative framework for interlinking variation in the thermal physiology of microbial species to their community-level diversity.