DNA metabarcoding, an efficient way to detect non-native cerambycid beetles in trapping collections?

preprint OA: closed
Full text JSON View at publisher

Abstract

Individual sorting and identification of thousands of insects collected in mass trapping biosurveillance programs is a labour intensive and time-consuming process. Metabarcoding, allows for the simultaneous identification of multiple individuals in a single mixed sample and has the potential to expedite this process. However, detecting all the species present in a bulk sample can be challenging, especially when under-represented non-native specimens are intercepted. In this study, we quantified the effectiveness of DNA metabarcoding at detecting exotic species within six different mock communities of native and non-native species of European xylophagous cerambycid beetles. The main objective is to compare three different sequencing technologies (MinION, Illumina, and IonTorrent) to evaluate which one is the most suitable in this context. Although we did not observe significant differences in the total number of species detected between the three sequencing technologies, MinION detected a greater number of species on field-like samples. All three sequencing technologies achieved in detecting and identifying closely related species and species at low abundance. The capture method of insects in the field greatly influences sample preservation and detection. Individuals captured in traps containing monopropylene and water had lower DNA concentration, leading to lower species detection rates compared to individuals killed using just an insecticide without any collection medium.
Full text 1,292 characters · extracted from oa-doi-fallback · click to expand
Preprint ARPHA Preprints https://doi.org/10.3897/arphapreprints.e130574 (27 Jun 2024) https://doi.org/10.3897/arphapreprints.e130574 (27 Jun 2024) Published in: NeoBiota https://doi.org/10.3897/neobiota.96.130195 Other versions: - Preprint InfoPreprint Info - CiteCite - MetricsMetrics - CommentComment - RelatedRelated - CitedCited ARPHA Preprints doi: 10.3897/arphapreprints.e130574 First posted 27 Jun 2024 Authors Lois Veillat - Corresponding author INRAE UR633 Zoologie Forestiere, Orléans, France Tours University, Tours, France IRBI, Tours, France INRA, UR0633 Zoologie Forestière, Orléans, France IFOPE, Sino-French Joint Laboratory for Invasive Forest Pests in Eurasia, INRAE URZF and Beijing Forestry University, Orleans & Beijing, France INRAE, URZF UR633, Orléans, France Carlos Lopez-Vaamonde - Corresponding author INRA UR633 Zoologie Forestiere, Orleans, Orleans, France Géraldine Roux - Corresponding author Université d'Orléans, Orléans, France Conflict of interest The authors have declared that no competing interests exist. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00