The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Monitoring endangered freshwater biodiversity using environmental DNA
Abstract
Freshwater ecosystems are among the most endangered habitats on Earth, with thousands of animal species known to be threatened or already extinct. Reliable monitoring of threatened organisms is crucial for data‐driven conservation actions but remains a challenge owing to nonstandardized methods that depend on practical and taxonomic expertise, which is rapidly declining. Here, we show that a diversity of rare and threatened freshwater animals—representing amphibians, fish, mammals, insects and crustaceans—can be detected and quantified based on DNA obtained directly from small water samples of lakes, ponds and streams. We successfully validate our findings in a controlled mesocosm experiment and show that DNA becomes undetectable within 2 weeks after removal of animals, indicating that DNA traces are near contemporary with presence of the species. We further demonstrate that entire faunas of amphibians and fish can be detected by high‐throughput sequencing of DNA extracted from pond water. Our findings underpin the ubiquitous nature of DNA traces in the environment and establish environmental DNA as a tool for monitoring rare and threatened species across a wide range of taxonomic groups.
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Cites
Global Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Instability and decay of the primary structure of DNA
Lindahl, T. (1993) · Nature · doi:10.1038/362709a0 · Cited by 5,679
Has the Earth’s sixth mass extinction already arrived?
Barnosky, A. D., Matzke, N., Tomiya, S., Wogan, G. O. U., Swartz, B., Quental, T. B., Marshall, C., McGuire, J. L., Lindsey, E. L., Maguire, K. C., et al. (2011) · Nature · doi:10.1038/nature09678 · Cited by 4,400 · cited 1×
“Faced with a global decline in biodiversity that is 100– 1000 times faster than prehuman rates (Pimm et al. 1995; Barnosky et al. 2011), there is an urgent need for data-driven prioritization of conservation actions, which relies heavily on fast and effective monitoring of threatened species.”
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Cited by
Environmental DNA – An emerging tool in conservation for monitoring past and present biodiversity
Thomsen, P. F., & Willerslev, E. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.019 · Cited by 2,082
Self-citationReliable, verifiable and efficient monitoring of biodiversity via metabarcoding
Ji, Y., Ashton, L., Pedley, S. M., Edwards, D. P., Tang, Y., Nakamura, A., Kitching, R., Dolman, P. M., Woodcock, P., Edwards, F. A., et al. (2013) · Ecology Letters · doi:10.1111/ele.12162 · Cited by 662
Biggs, J., Ewald, N., Valentini, A., Gaboriaud, C., Dejean, T., Griffiths, R. A., Foster, J., Wilkinson, J. W., Arnell, A., Brotherton, P., et al. (2015) · Biological Conservation · doi:10.1016/j.biocon.2014.11.029 · Cited by 503
Environmental metabarcodes for insects: in silicoPCR reveals potential for taxonomic bias
Clarke, L. J., Soubrier, J., Weyrich, L. S., & Cooper, A. (2014) · Molecular Ecology Resources · doi:10.1111/1755-0998.12265 · Cited by 351
Ancient and modern environmental DNA
Pedersen, M. W., Overballe-Petersen, S., Ermini, L., Sarkissian, C. D., Haile, J., Hellstrom, M., Spens, J., Thomsen, P. F., Bohmann, K., Cappellini, E., et al. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0383 · Cited by 329
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Metadata
- Authors
- THOMSEN, P. F., KIELGAST, J., IVERSEN, L. L., WIUF, C., RASMUSSEN, M., GILBERT, M. T. P., ORLANDO, L., & WILLERSLEV, E.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2011-12-13
- Volume
- 21
- Issue
- 11
- Pages
- 2565-2573
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2163290397
- Cited by
- 1,184
- References
- 4
- FWCI
- 26.10
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
