Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Investigating the human host - ssRNA virus interaction landscape using the SMEAGOL toolbox

View ORCID ProfileAvantika Lal, View ORCID ProfileMariana Galvao Ferrarini, Andreas J. Gruber
doi: https://doi.org/10.1101/2021.12.02.470930
Avantika Lal
1Insitro, South San Francisco, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Avantika Lal
Mariana Galvao Ferrarini
2Univ Lyon, INSA Lyon, INRAE, BF2I, UMR 203, 69621 Villeurbanne, France
3Laboratoire de Biométrie et Biologie Evolutive, UMR 5558, Université Lyon 1, Université Lyon, Villeurbanne, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mariana Galvao Ferrarini
Andreas J. Gruber
4University of Konstanz, Universitaetsstrasse 10, D-78464 Konstanz, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: gruber@uni-konstanz.de
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Viruses are intracellular parasites that need their host cell to reproduce. Consequently, they have evolved numerous mechanisms to exploit the molecular machinery of their host cells, including the broad spectrum of host RNA-binding proteins (RBPs). However, the RBP interactome of viral genomes and the consequences of these interactions for infection are still to be mapped for most RNA viruses. To facilitate these efforts we have developed SMEAGOL, a fast and user-friendly toolbox to analyze the enrichment or depletion of RBP binding motifs across RNA sequences (https://github.com/gruber-sciencelab/SMEAGOL). To shed light on the interaction landscape of RNA viruses with human host cell RBPs at a large scale, we applied SMEAGOL to 197 single-stranded RNA (ssRNA) viral genome sequences. We find that the majority of ssRNA virus genomes are significantly enriched or depleted in binding motifs for human RBPs, suggesting selection pressure on these interactions. Our analysis provides an overview of potential virus - RBP interactions, covering the majority of ssRNA viral genomes fully sequenced to date, and represents a rich resource for studying host interactions vital to the virulence of ssRNA viruses. Our resource and the SMEAGOL toolbox will support future studies of virus / host interactions, ultimately feeding into better treatments.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted December 03, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Investigating the human host - ssRNA virus interaction landscape using the SMEAGOL toolbox
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Investigating the human host - ssRNA virus interaction landscape using the SMEAGOL toolbox
Avantika Lal, Mariana Galvao Ferrarini, Andreas J. Gruber
bioRxiv 2021.12.02.470930; doi: https://doi.org/10.1101/2021.12.02.470930
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Investigating the human host - ssRNA virus interaction landscape using the SMEAGOL toolbox
Avantika Lal, Mariana Galvao Ferrarini, Andreas J. Gruber
bioRxiv 2021.12.02.470930; doi: https://doi.org/10.1101/2021.12.02.470930

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3484)
  • Biochemistry (7336)
  • Bioengineering (5308)
  • Bioinformatics (20225)
  • Biophysics (9991)
  • Cancer Biology (7717)
  • Cell Biology (11280)
  • Clinical Trials (138)
  • Developmental Biology (6426)
  • Ecology (9930)
  • Epidemiology (2065)
  • Evolutionary Biology (13298)
  • Genetics (9354)
  • Genomics (12566)
  • Immunology (7687)
  • Microbiology (18979)
  • Molecular Biology (7428)
  • Neuroscience (40944)
  • Paleontology (300)
  • Pathology (1226)
  • Pharmacology and Toxicology (2132)
  • Physiology (3146)
  • Plant Biology (6850)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1893)
  • Systems Biology (5306)
  • Zoology (1087)