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

Network-level containment of single-species bioengineering

Victor Maull, Ricard Solé
doi: https://doi.org/10.1101/2021.07.05.451200
Victor Maull
1ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona
2Institut de Biologia Evolutiva, CSIC-UPF, Passeig Maritim de la Barceloneta 37, 08003 Barcelona
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ricard Solé
1ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona
2Institut de Biologia Evolutiva, CSIC-UPF, Passeig Maritim de la Barceloneta 37, 08003 Barcelona
3Santa Fe Institute, 1399 Hyde Park Road, Santa Fe NM 87501, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: ricard.sole@upf.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Ecological systems are facing major diversity losses in this century due to Anthropogenic effects. Habitat loss, overexploitation of resources, invasion and pollution are rapidly jeopardising the survival of whole communities, as revealed by pronounced population losses. Moreover, the potential of future tipping points further complicate their survival and change our perspective of risk. It has been recently suggested that a potential approach to flatten the curve of species extinction and prevent catastrophic shifts would involve the engineering of one selected species within one of these communities, aiming at helping the maintenance of key conditions compatible with high diversity. Such possibility has started to become part of potential intervention scenarios to preserve coral reefs, kelp forests or soil microbiomes in drylands. Despite its potential, very little is known about the actual dynamic responses of complex ecological networks to the introduction of a synthetic strains derived from a resident species. In this paper we address this problem by modelling the response of a competitive community to the addition of a synthetic strain derived from a member of a stable ecosystem. We show that the community interaction matrix largely limits the spread of the engineered strain, thus suggesting that species diversity acts as an ecological firewall. Implications for future restoration and terraformation strategies are discussed.

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 July 06, 2021.
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.
Network-level containment of single-species bioengineering
(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
Network-level containment of single-species bioengineering
Victor Maull, Ricard Solé
bioRxiv 2021.07.05.451200; doi: https://doi.org/10.1101/2021.07.05.451200
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Network-level containment of single-species bioengineering
Victor Maull, Ricard Solé
bioRxiv 2021.07.05.451200; doi: https://doi.org/10.1101/2021.07.05.451200

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

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (3506)
  • Biochemistry (7348)
  • Bioengineering (5324)
  • Bioinformatics (20266)
  • Biophysics (10020)
  • Cancer Biology (7744)
  • Cell Biology (11306)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9954)
  • Epidemiology (2065)
  • Evolutionary Biology (13325)
  • Genetics (9361)
  • Genomics (12587)
  • Immunology (7702)
  • Microbiology (19027)
  • Molecular Biology (7444)
  • Neuroscience (41049)
  • Paleontology (300)
  • Pathology (1230)
  • Pharmacology and Toxicology (2138)
  • Physiology (3161)
  • Plant Biology (6861)
  • Scientific Communication and Education (1273)
  • Synthetic Biology (1897)
  • Systems Biology (5313)
  • Zoology (1089)