ArticleScientific reports2019
Variations in terrestrial arthropod DNA metabarcoding methods recovers robust beta diversity but variable richness and site indicators.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Site-specific variation and non-indigenous species detection in Arabian Gulf biofouling communities using DNA metabarcoding and photographic surveys.Scientific reports · 2026Article
- Sampling Design and Sample Processing Affect Soil Biodiversity Assessments.Molecular ecology resources · 2026Article
- Morphological and metabarcoding dietary analysis of the cunner wrasse (Tautogolabrus adspersus) revealed significant regional variation, with large overlap between its common prey species and biofouling animals living on salmonid sea cages.Journal of fish biology · 2025Article
- Optimizing insect metabarcoding using replicated mock communities.Methods in ecology and evolution · 2023Article
- Diversity of soil faunal community as influenced by crop straw combined with different synthetic fertilizers in upland purple soil.Scientific reports · 2022Article
- Repeated subsamples during DNA extraction reveal increased diversity estimates in DNA metabarcoding of Malaise traps.Ecology and evolution · 2022Article
- Discrepancies between prokaryotes and eukaryotes need to be considered in soil DNA-based studies.Environmental microbiology · 2022Review
- Comparison of traditional and DNA metabarcoding samples for monitoring tropical soil arthropods (Formicidae, Collembola and Isoptera).Scientific reports · 2022Article
- Standardized high-throughput biomonitoring using DNA metabarcoding: Strategies for the adoption of automated liquid handlers.Environmental science and ecotechnology · 2021Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Terrestrial arthropod fauna have been suggested as a key indicator of ecological integrity in forest systems. Because phenotypic identification is expert-limited, a shift towards DNA metabarcoding could improve scalability and democratize the use of forest floor arthropods for biomonitoring applications. The objective of this study was to establish the level of field sampling and DNA extraction replication needed for arthropod biodiversity assessments from soil. Processing 15 individually collected soil samples recovered significantly higher median richness (488-614 sequence variants) than pooling the same number of samples (165-191 sequence variants) prior to DNA extraction, and we found no significant richness differences when using 1 or 3 pooled DNA extractions. Beta diversity was robust to changes in methodological regimes. Though our ability to identify taxa to species rank was limited, we were able to use arthropod COI metabarcodes from forest soil to assess richness, distinguish among sites, and recover site indicators based on unnamed exact sequence variants. Our results highlight the need to continue DNA barcoding local taxa during COI metabarcoding studies to help build reference databases. All together, these sampling considerations support the use of soil arthropod COI metabarcoding as a scalable method for biomonitoring.
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