ArticleMolecular ecology resources2019
Metabarcoding a diverse arthropod mock community.
Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Unravelling Bulk Ichthyoplankton Diversity in Vietnam: Metabarcoding Validation With Controlled Mock Samples.Molecular ecology resources · 2026Article
- Comparative Multi-Marker Environmental DNA Metabarcoding of Marine Metazoan Communities: Water vs. Sediment.Molecular ecology resources · 2026Article
- Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026Article
- The shared performance of different COI regions increases the niche breadth detectable from bat guano eDNA.Genetics and molecular biology · 2026Article
- Joint morphological and DNA metabarcoding gut content analysis revealed that adult body size, but not biological sex, influences variance in dietary composition within and among cunner wrasse (BMC marine science · 2026Article
- EntoSieve: Automated Size-Sorting of Insect Bulk Samples to Aid Accurate Megabarcoding and Metabarcoding.Molecular ecology resources · 2025Article
- Evaluation of Oxford Nanopore Technologies MinION Sequencer as a Novel Short Amplicon Metabarcoding Tool Using Arthropod Mock Sample and Irish Bat Diet Characterisation.Ecology and evolution · 2025Article
- Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding.Scientific data · 2025Article
- Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany.Molecular ecology resources · 2025Article
- Metagenomic detection of protozoan parasites on leafy greens aided by a rapid and efficient DNA extraction protocol.Frontiers in microbiology · 2025Article
- Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada.Biodiversity data journal · 2025Article
- A rapid phylogeny-based method for accurate community profiling of large-scale metabarcoding datasets.eLife · 2024Article
- PROTAX-GPU: a scalable probabilistic taxonomic classification system for DNA barcodes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Three steps towards comparability and standardization among molecular methods for characterizing insect communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Plumage microorganism communities of tidal marsh sparrows.iScience · 2024Article
- Article
- Exploring and validating observations of non-local species in eDNA samples.Ecology and evolution · 2023Article
- Monitoring insect biodiversity and comparison of sampling strategies using metabarcoding: A case study in the Yanshan Mountains, China.Ecology and evolution · 2023Article
- Optimizing insect metabarcoding using replicated mock communities.Methods in ecology and evolution · 2023Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Although DNA metabarcoding is an attractive approach for monitoring biodiversity, it is often difficult to detect all the species present in a bulk sample. In particular, sequence recovery for a given species depends on its biomass and mitome copy number as well as the primer set employed for PCR. To examine these variables, we constructed a mock community of terrestrial arthropods comprised of 374 species. We used this community to examine how species recovery was impacted when amplicon pools were constructed in four ways. The first two protocols involved the construction of bulk DNA extracts from different body segments (Bulk Abdomen, Bulk Leg). The other protocols involved the production of DNA extracts from single legs which were then merged prior to PCR (Composite Leg) or PCR-amplified separately (Single Leg) and then pooled. The amplicons generated by these four treatments were then sequenced on three platforms (Illumina MiSeq, Ion Torrent PGM and Ion Torrent S5). The choice of sequencing platform did not substantially influence species recovery, although the Miseq delivered the highest sequence quality. As expected, species recovery was most efficient from the Single Leg treatment because amplicon abundance varied little among taxa. Among the three treatments where PCR occurred after pooling, the Bulk Abdomen treatment produced a more uniform read abundance than the Bulk Leg or Composite Leg treatment. Primer choice also influenced species recovery and evenness. Our results reveal how variation in protocols can have substantial impacts on perceived diversity unless sequencing coverage is sufficient to reach an asymptote.
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