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

Immunoglobulin gene conversion identification and analysis

Stefano R. Bonissone
doi: https://doi.org/10.1101/828434
Stefano R. Bonissone
Digital Proteomics
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: stefano@digitalproteomics.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABSTRACT

Immunoglobulins are highly diverse, diverging from their originating germline genes driven primarily by somatic recombination and hypermutation. However, somatic gene conversion is a strong driver of immunoglobulin diversity in some species, including rabbits and chickens. It is considerably harder to detect by sequence analysis than point mutations, and currently no dedicated tools exist for identifying these events. We present GECCO, the first dedicated gene conversion identification tool for immunoglobulins based on modified, simultaneous, pairwise alignments to host and donor references. We benchmark our approach on simulated repertoires and find GECCO has high recall, low false positive rate, and is insensitive to somatic mutations. We apply this new approach to characterize gene conversion events at the repertoire level in hyper-immunized rabbits, to show patterns of donor V gene preferences and donor tract length distributions. The dedicated gene conversion identification method we present allows for the characterization of a new feature of antibody repertoires that has not been possible thus far. GECCO will benefit future studies to explore the prevalence of immunoglobulin gene conversion in additional species.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted November 02, 2019.
Download PDF
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.
Immunoglobulin gene conversion identification and analysis
(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
Immunoglobulin gene conversion identification and analysis
Stefano R. Bonissone
bioRxiv 828434; doi: https://doi.org/10.1101/828434
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Immunoglobulin gene conversion identification and analysis
Stefano R. Bonissone
bioRxiv 828434; doi: https://doi.org/10.1101/828434

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

  • Immunology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3703)
  • Biochemistry (7828)
  • Bioengineering (5705)
  • Bioinformatics (21362)
  • Biophysics (10611)
  • Cancer Biology (8217)
  • Cell Biology (11982)
  • Clinical Trials (138)
  • Developmental Biology (6792)
  • Ecology (10430)
  • Epidemiology (2065)
  • Evolutionary Biology (13916)
  • Genetics (9734)
  • Genomics (13116)
  • Immunology (8181)
  • Microbiology (20081)
  • Molecular Biology (7882)
  • Neuroscience (43201)
  • Paleontology (321)
  • Pathology (1285)
  • Pharmacology and Toxicology (2270)
  • Physiology (3367)
  • Plant Biology (7262)
  • Scientific Communication and Education (1317)
  • Synthetic Biology (2012)
  • Systems Biology (5551)
  • Zoology (1135)