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

Metabarcoding and ecological interaction networks for selecting candidate biological control agents

View ORCID ProfileMélodie Ollivier, Vincent Lesieur, Johannes Tavoillot, Fanny Bénetière, Marie-Stéphane Tixier, View ORCID ProfileJean-François Martin
doi: https://doi.org/10.1101/2021.05.04.442560
Mélodie Ollivier
1CBGP, Montpellier SupAgro, INRAE, CIRAD, IRD, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mélodie Ollivier
  • For correspondence: melodie.ollivier@wanadoo.fr
Vincent Lesieur
1CBGP, Montpellier SupAgro, INRAE, CIRAD, IRD, Univ Montpellier, Montpellier, France
2CSIRO Health and Biosecurity, European Laboratory, Montferrier sur Lez, 34980, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Johannes Tavoillot
3CBGP, IRD, CIRAD, INRAE, Montpellier SupAgro, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fanny Bénetière
1CBGP, Montpellier SupAgro, INRAE, CIRAD, IRD, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marie-Stéphane Tixier
1CBGP, Montpellier SupAgro, INRAE, CIRAD, IRD, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jean-François Martin
1CBGP, Montpellier SupAgro, INRAE, CIRAD, IRD, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jean-François Martin
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

  1. Classical biological control can be used to decrease the density of invasive species to below an acceptable ecological and economic threshold. Natural enemies specific to the invasive species are selected from its native range and released into the invaded range. This approach has drawbacks, despite the performance of specificity tests to ensure its safety, because the fundamental host range defined under controlled conditions does not represent the actual host range in natura, and these tests omit indirect interactions within community.

  2. We focus on Sonchus oleraceus (Asteraceae), a weed species originating from Western Palearctic that is invasive worldwide and notably in Australia. We explore how analyses of interaction network within its native range can be used to 1) inventory herbivores associated to the target plant, 2) characterize their ecological host ranges, and 3) guide the selection of candidate biocontrol agents considering interactions with species from higher trophic levels. Arthropods were collected from plant community sympatric to S. oleraceus, in three bioclimatic regions, and interactions were inferred by a combination of molecular and morphological approaches.

  3. The networks reconstructed were structured in several trophic levels from basal species (diversified plant community), to intermediate and top species (herbivorous arthropods and their natural enemies). The subnetwork centered on S. oleraceus related interactions contained 116 taxa and 213 interactions. We identified 47 herbivores feeding on S. oleraceus, 15 of which were specific to the target species (i.e. Generality value equal to 1). Some discrepancies with respect to published findings or conventional specificity tests suggested possible insufficient sampling effort for the recording of interactions or the existence of cryptic species. Among potential candidate agents, 6 exhibited interactions with natural enemies.

  4. Synthesis and applications: Adopting a network approach as prerequisite step of the CBC program can provide a rapid screening of potential agents to be tested in priority. Once ecological host range defined, we suggest that priority should be given to agent predated by a minimum species, and, when they exist, to an agent that possesses enemies from the most distant taxonomical group from those occurring in the range of introduction.

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. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted May 05, 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.
Metabarcoding and ecological interaction networks for selecting candidate biological control agents
(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
Metabarcoding and ecological interaction networks for selecting candidate biological control agents
Mélodie Ollivier, Vincent Lesieur, Johannes Tavoillot, Fanny Bénetière, Marie-Stéphane Tixier, Jean-François Martin
bioRxiv 2021.05.04.442560; doi: https://doi.org/10.1101/2021.05.04.442560
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Metabarcoding and ecological interaction networks for selecting candidate biological control agents
Mélodie Ollivier, Vincent Lesieur, Johannes Tavoillot, Fanny Bénetière, Marie-Stéphane Tixier, Jean-François Martin
bioRxiv 2021.05.04.442560; doi: https://doi.org/10.1101/2021.05.04.442560

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

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3686)
  • Biochemistry (7774)
  • Bioengineering (5668)
  • Bioinformatics (21245)
  • Biophysics (10563)
  • Cancer Biology (8162)
  • Cell Biology (11915)
  • Clinical Trials (138)
  • Developmental Biology (6738)
  • Ecology (10388)
  • Epidemiology (2065)
  • Evolutionary Biology (13843)
  • Genetics (9694)
  • Genomics (13056)
  • Immunology (8123)
  • Microbiology (19956)
  • Molecular Biology (7833)
  • Neuroscience (42973)
  • Paleontology (318)
  • Pathology (1276)
  • Pharmacology and Toxicology (2256)
  • Physiology (3350)
  • Plant Biology (7208)
  • Scientific Communication and Education (1309)
  • Synthetic Biology (1999)
  • Systems Biology (5528)
  • Zoology (1126)