ArticleDiversity & distributions2020
The risks of using molecular biodiversity data for incidental detection of species of concern.
Article in Diversity & distributions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- BIOWATCH: a R shiny application for the detection of species of interest in metabarcoding datasets.BMC bioinformatics · 2026Article
- Planning and Analyzing a Low-Biomass Microbiome Study: A Data Analysis Perspective.The Journal of infectious diseases · 2026Review
- Review
- Underwater drone-based eDNA metabarcoding reveals regional differences in fish communities and early detection of alien species around the Korean Peninsula.Scientific reports · 2025Article
- Article
- Critical considerations for communicating environmental DNA science.Environmental DNA (Hoboken, N.J.) · 2024Article
- Harnessing environmental DNA to reveal biogeographical patterns of non-indigenous species for improved co-governance of the marine environment in Aotearoa New Zealand.Scientific reports · 2023Article
- CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.The CRISPR journal · 2023Article
- Pest Alert Tool-a web-based application for flagging species of concern in metabarcoding datasets.Nucleic acids research · 2023Article
- Integrating invasive species risk assessment into environmental DNA metabarcoding reference libraries.Ecological applications : a publication of the Ecological Society of America · 2023Article
- Article
- Article
- Seeing through sedimented waters: environmental DNA reduces the phantom diversity of sharks and rays in turbid marine habitats.BMC ecology and evolution · 2021Article
- Developing a non-destructive metabarcoding protocol for detection of pest insects in bulk trap catches.Scientific reports · 2021Article
- Article
- Metabarcoding quantifies differences in accumulation of ballast water borne biodiversity among three port systems in the United States.The Science of the total environment · 2020Article
- Targeted and passive environmental DNA approaches outperform established methods for detection of quagga mussels,Ecology and evolution · 2020Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Incidental detection of species of concern (e.g., invasive species, pathogens, threatened and endangered species) during biodiversity assessments based on high-throughput DNA sequencing holds significant risks in the absence of rigorous, fit-for-purpose data quality and reporting standards. Molecular biodiversity data are predominantly collected for ecological studies and thus are generated to common quality assurance standards. However, the detection of certain species of concern in these data would likely elicit interest from end users working in biosecurity or other surveillance contexts (e.g., pathogen detection in health-related fields), for which more stringent quality control standards are essential to ensure that data are suitable for informing decision-making and can withstand legal or political challenges. We suggest here that data quality and reporting criteria are urgently needed to enable clear identification of those studies that may be appropriately applied to surveillance contexts. In the interim, more pointed disclaimers on uncertainties associated with the detection and identification of species of concern may be warranted in published studies. This is not only to ensure the utility of molecular biodiversity data for consumers, but also to protect data generators from uncritical and potentially ill-advised application of their science in decision-making.
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Registered trials
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