ArticleMolecular ecology resources2020
Rapid and accurate species identification for ecological studies and monitoring using CRISPR-based SHERLOCK.
Article in Molecular ecology resources, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Integrative Taxonomic Revision of Goatfishes (Mullidae) in the Northern South China Sea Based on Morphology and Multilocus Molecular Data.Ecology and evolution · 2026Article
- The Emergence of a CRISPR-Cas Revolution in Ecology: Applications, Challenges, and an Ecologist's Overview of the Toolbox.Molecular ecology resources · 2026Review
- Rapid CRISPR-Cas13a genetic identification enables new opportunities for listed Chinook salmon management.Molecular ecology resources · 2025Article
- The Genome of Lolium multiflorum Reveals the Genetic Architecture of Paraquat Resistance.Molecular ecology · 2025Article
- A Simplified, CRISPR-Based Method for the Detection of Batrachochytrium salamandrivorans.EcoHealth · 2025Article
- Redescription ofHelminthologia · 2025Article
- Divergent Population Structure in Five Common Rockfish Species of Puget Sound, WA Suggests the Need for Species-Specific Management.Molecular ecology · 2025Article
- Identification and classification ofPeerJ · 2025Article
- ddPCR Overcomes the CRISPR-Cas13a-Based Technique for the Detection of the BRAF p.V600E Mutation in Liquid Biopsies.International journal of molecular sciences · 2024Article
- Remnant salmon life history diversity rediscovered in a highly compressed habitat.Evolutionary applications · 2024Article
- Advances in environmental DNA monitoring: standardization, automation, and emerging technologies in aquatic ecosystems.Science China. Life sciences · 2024Review
- Detection of Nucleic Acids of the Fish PathogenMicroorganisms · 2024Article
- CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.The CRISPR journal · 2023Article
- Oral microbiome diversity: The curious case of Corynebacterium sp. isolation.Molecular oral microbiology · 2022Article
- Review
- Seeing through sedimented waters: environmental DNA reduces the phantom diversity of sharks and rays in turbid marine habitats.BMC ecology and evolution · 2021Article
- Early diagnosis of rabies virus infection by RPA-CRISPR techniques in a rat model.Archives of virology · 2021Article
- CRISPR/Cas9-Based Lateral Flow and Fluorescence Diagnostics.Bioengineering (Basel, Switzerland) · 2021Article
- Rapid and accurate species identification for ecological studies and monitoring using CRISPR-based SHERLOCK.Molecular ecology resources · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
One of the most fundamental aspects of ecological research and monitoring is accurate species identification, but cryptic speciation and observer error can confound phenotype-based identification. The CRISPR-Cas toolkit has facilitated remarkable advances in many scientific disciplines, but the fields of ecology and conservation biology have yet to fully embrace this powerful technology. The recently developed CRISPR-Cas13a platform SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing) enables highly accurate taxonomic identification and has all the characteristics needed to transition to ecological and environmental disciplines. Here we conducted a series of "proof of principle" experiments to characterize SHERLOCK's ability to accurately, sensitively and rapidly distinguish three fish species of management interest co-occurring in the San Francisco Estuary that are easily misidentified in the field. We improved SHERLOCK's ease of field deployment by combining the previously demonstrated rapid isothermal amplification and CRISPR genetic identification with a minimally invasive and extraction-free DNA collection protocol, as well as the option of instrument-free lateral flow detection. This approach opens the door for redefining how, where and by whom genetic identifications occur in the future.
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