Helen C. Rees
The detection of aquatic animal species using environmental DNA – a review of eDNA as a survey tool in ecology
Rees, Helen C.; Maddison, Ben C.; Middleditch, David J.; Patmore, James R.; Gough, Kevin C.
Authors
Ben C. Maddison
David J. Middleditch
James R. Patmore
Kevin C. Gough
Abstract
1. Knowledge of species distribution is critical to ecological management and conservation biology. Effective management requires the detection of populations, which can sometimes be at low densities and is usually based on visual detection and counting.
2. Recently, there has been considerable interest in the detection of short species-specific environmental DNA (eDNA) fragments to allow aquatic species monitoring within different environments due to the potential of greater sensitivity over traditional survey methods which can be time-consuming and costly.
3. Environmental DNA analysis is increasingly being used in the detection of rare or invasive species and has also been applied to eDNA persistence studies and estimations of species biomass and distribution. When combined with next-generation sequencing methods, it has been demonstrated that entire faunas can be identified.
4. Different environments require different sampling methodologies, but there remain areas where laboratory methodologies could be standardized to allow results to be compared across studies.
5. Synthesis and applications. We review recently published studies that use eDNA to moni- tor aquatic populations, discuss the methodologies used and the application of eDNA analysis as a survey tool in ecology. We include innovative ideas for how eDNA can be used for conservation and management citing test cases, for instance, the potential for on-site analyses, including the application of eDNA analysis to carbon nanotube platforms or laser transmission spectroscopy to facilitate rapid on-site detections. The use of eDNA monitoring is already being adopted in the UK for ecological surveys.
Citation
Rees, H. C., Maddison, B. C., Middleditch, D. J., Patmore, J. R., & Gough, K. C. (2014). The detection of aquatic animal species using environmental DNA – a review of eDNA as a survey tool in ecology. Journal of Applied Ecology, 51, https://doi.org/10.1111/1365-2664.12306
Journal Article Type | Article |
---|---|
Publication Date | Jul 25, 2014 |
Deposit Date | Sep 24, 2015 |
Publicly Available Date | Sep 24, 2015 |
Journal | Journal of Applied Ecology |
Print ISSN | 0021-8901 |
Electronic ISSN | 1365-2664 |
Publisher | Wiley |
Peer Reviewed | Not Peer Reviewed |
Volume | 51 |
DOI | https://doi.org/10.1111/1365-2664.12306 |
Keywords | DNA Barcoding, Ecosystem Management, eDna, Invasive Species, Next-Generation Sequencing, PCR, Rare or Threatened Species, Species-Specific Detection, Water Sampling |
Public URL | https://nottingham-repository.worktribe.com/output/731943 |
Publisher URL | http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12306/abstract;jsessionid=E26A5D7CC790A14A76A33D44C849A31A.f04t02 |
Additional Information | This is the pre-peer reviewed version of the following article: Rees, H.C., Maddison, B.C., Middleditch, D.J., Patmore, J.R.M., Gough, K.C. (2014), REVIEW: The detection of aquatic animal species using environmental DNA – a review of eDNA as a survey tool in ecology. Journal of Applied Ecology, 51: 1450–1459 doi: 10.1111/1365-2664.12306, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/1365-2664.12306/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Files
The Detection of Aquatic Species using Environmental DNA – a review of eDNA as a survey tool in Ecology_Rees_etal.pdf
(233 Kb)
PDF
You might also like
The application of eDNA for monitoring of the great crested newt in the UK
(2014)
Journal Article
Oral ketamine vs placebo in patients with cancer-related neuropathic pain
(2018)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search