Can Widely Used Methods Be Turned Into <scp>eDNA</scp> Samplers for Ground‐Dwelling Arthropods? Insights From Two Pilot Studies in West European Salt Marshes

ABSTRACT The pressing demand for arthropod preservation, coupled with a decline in taxonomic expertise and available resources, calls for innovative strategies in assessing biodiversity. Metabarcoding and more recently environmental DNA (eDNA) metabarcoding have been shown to be a promising technique for identifying terrestrial arthropods. This research evaluated the efficacy of two conventional sampling approaches, adapted for metabarcoding surveys, in monitoring the diversity of spiders (Araneae) and beetles (Coleoptera) within salt marsh environments. The methods tested were suction sampling (G‐vac) and modified pitfall traps (NDC, a non‐destructive DNA collector). Through two pilot experiments in salt‐marsh environments, we found that both methods successfully identified diverse arthropod communities, though discrepancies with traditional morphological identification highlighted the strengths and limitations of molecular approaches. Suction sampling excelled in detecting taxa such as Lepidoptera and Salticidae, which are often overlooked by physical collections, whereas modified pitfall traps performed well for dung beetles but faced challenges with wolf spiders (Lycosidae). Our findings underscore the importance of tailoring eDNA protocols to specific taxonomic groups and ecosystems, particularly through strategic primer and DNA fragment selection. While traditional methods remain indispensable for comprehensive biodiversity inventories, eDNA metabarcoding offers a powerful complementary approach for detecting cryptic or undersampled taxa. This study emphasizes the need for the targeted adaptation of eDNA techniques to specific taxonomic groups and ecosystems. Primer choice and DNA fragment selection significantly influenced detection efficiency, with broader primers reducing taxonomic resolution and amplifying bias. Although traditional methods remain critical for comprehensive biodiversity inventories, bulk and eDNA metabarcoding offer a complementary tool. These findings contribute to advancing arthropod monitoring tools and aiding conservation efforts amidst declining entomological resources.

Authors

Institutions

Publication Details

Journal
Entomologia Experimentalis et Applicata
Published
2025-12-05
DOI
https://doi.org/10.1111/eea.70040
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can Widely Used Methods Be Turned Into eDNA Samplers for Ground‐Dwelling Arthropods? Insights From Two Pilot Studies in West European Salt Marshes

Adeline Jouanillou, Dylan Amiar, Julien Pétillon, Denis Lafage et al.
Entomologia Experimentalis et Applicata
Environmental DNA in Biodiversity Studies
article

Can Widely Used Methods Be Turned Into eDNA Samplers for Ground‐Dwelling Arthropods? Insights From Two Pilot Studies in West European Salt Marshes

Adeline Jouanillou, Dylan Amiar, Julien Pétillon, Denis Lafage, Camila Leandro, Isabelle Vitte, Aurélien Ridel, Aurélie Bonin, Eva Bellemain
article en

Abstract

ABSTRACT The pressing demand for arthropod preservation, coupled with a decline in taxonomic expertise and available resources, calls for innovative strategies in assessing biodiversity. Metabarcoding and more recently environmental DNA (eDNA) metabarcoding have been shown to be a promising technique for identifying terrestrial arthropods. This research evaluated the efficacy of two conventional sampling approaches, adapted for metabarcoding surveys, in monitoring the diversity of spiders (Araneae) and beetles (Coleoptera) within salt marsh environments. The methods tested were suction sampling (G‐vac) and modified pitfall traps (NDC, a non‐destructive DNA collector). Through two pilot experiments in salt‐marsh environments, we found that both methods successfully identified diverse arthropod communities, though discrepancies with traditional morphological identification highlighted the strengths and limitations of molecular approaches. Suction sampling excelled in detecting taxa such as Lepidoptera and Salticidae, which are often overlooked by physical collections, whereas modified pitfall traps performed well for dung beetles but faced challenges with wolf spiders (Lycosidae). Our findings underscore the importance of tailoring eDNA protocols to specific taxonomic groups and ecosystems, particularly through strategic primer and DNA fragment selection. While traditional methods remain indispensable for comprehensive biodiversity inventories, eDNA metabarcoding offers a powerful complementary approach for detecting cryptic or undersampled taxa. This study emphasizes the need for the targeted adaptation of eDNA techniques to specific taxonomic groups and ecosystems. Primer choice and DNA fragment selection significantly influenced detection efficiency, with broader primers reducing taxonomic resolution and amplifying bias. Although traditional methods remain critical for comprehensive biodiversity inventories, bulk and eDNA metabarcoding offer a complementary tool. These findings contribute to advancing arthropod monitoring tools and aiding conservation efforts amidst declining entomological resources.

Entomologia Experimentalis et ApplicataVol. 174(2)
Centre National de la Recherche Scientifique (FR), École Pratique des Hautes Études (FR), Université de Montpellier (FR), Centre d'Écologie Fonctionnelle et Évolutive (FR), Institut National de l'Énergie Solaire (FR), Laboratoire d’Informatique et Systèmes (FR), Institut de Recherche pour le Développement (FR), Université de Rennes (FR), Nelson Mandela University (ZA)
Office Français de la Biodiversité
Openalex Percentile: Top 62%
Environmental DNA in Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.