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

Theoretical consequences of the Mutagenic Chain Reaction for manipulating natural populations

View ORCID ProfileRobert L. Unckless, View ORCID ProfilePhilipp W. Messer, View ORCID ProfileAndrew G. Clark
doi: https://doi.org/10.1101/018986
Robert L. Unckless
*Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Robert L. Unckless
Philipp W. Messer
§Department of Biological Statistics and Computation Biology, Cornell University, Ithaca, NY 14853
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Philipp W. Messer
Andrew G. Clark
*Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853
§Department of Biological Statistics and Computation Biology, Cornell University, Ithaca, NY 14853
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Andrew G. Clark
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

ABTRACT

The use of recombinant genetic technologies for population manipulation has mostly remained an abstract idea due to the lack of a suitable means to drive novel gene constructs to high frequency in populations. Recently Gantz and Bier showed that the use of CRISPR/Cas9 technology could provide an artificial drive mechanism, the so-called Mutagenic Chain Reaction (MCR), which could lead to rapid fixation of even a deleterious introduced allele. We establish the equivalence of this system to models of meiotic drive and review the results of simple models showing that, when there is a fitness cost to the MCR allele, an internal equilibrium exists that is usually unstable. Introductions must be at a frequency above this critical point for the successful invasion of the MCR allele. These modeling results have important implications for application of MCR in natural populations.

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 May 05, 2015.
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.
Theoretical consequences of the Mutagenic Chain Reaction for manipulating natural populations
(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
Theoretical consequences of the Mutagenic Chain Reaction for manipulating natural populations
Robert L. Unckless, Philipp W. Messer, Andrew G. Clark
bioRxiv 018986; doi: https://doi.org/10.1101/018986
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Theoretical consequences of the Mutagenic Chain Reaction for manipulating natural populations
Robert L. Unckless, Philipp W. Messer, Andrew G. Clark
bioRxiv 018986; doi: https://doi.org/10.1101/018986

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

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (2516)
  • Biochemistry (4964)
  • Bioengineering (3466)
  • Bioinformatics (15166)
  • Biophysics (6885)
  • Cancer Biology (5379)
  • Cell Biology (7709)
  • Clinical Trials (138)
  • Developmental Biology (4518)
  • Ecology (7128)
  • Epidemiology (2059)
  • Evolutionary Biology (10206)
  • Genetics (7497)
  • Genomics (9763)
  • Immunology (4821)
  • Microbiology (13174)
  • Molecular Biology (5128)
  • Neuroscience (29354)
  • Paleontology (203)
  • Pathology (835)
  • Pharmacology and Toxicology (1460)
  • Physiology (2127)
  • Plant Biology (4728)
  • Scientific Communication and Education (1008)
  • Synthetic Biology (1337)
  • Systems Biology (4001)
  • Zoology (768)