Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Prospects and challenges of environmental DNA (eDNA) monitoring in freshwater ponds

Harper, LR, Buxton, AS, Rees, HC, Bruce, K, Brys, R, Halfmaerten, D, Read, DS, Watson, HV, Sayer, CD, Jones, EP, Priestley, V, Machler, E, Murria, C, Garces-Pastor, S, Medupin, C, Burgess, K, Benson, G, Boonham, N, Griffiths, RA, Handley, LL and Haenfling, B (2018) Prospects and challenges of environmental DNA (eDNA) monitoring in freshwater ponds. Hydrobiologia, 826 (1). pp. 25-41. ISSN 0018-8158

[img]
Preview
Text
Prospects and challenges of environmental DNA (eDNA) monitoring in freshwater ponds.pdf - Published Version
Available under License Creative Commons Attribution.

Download (914kB) | Preview

Abstract

Environmental DNA (eDNA) analysis is a rapid, non-invasive, cost-efficient biodiversity monitoring tool with enormous potential to inform aquatic conservation and management. Development is ongoing, with strong commercial interest, and new uses are continually being discovered. General applications of eDNA and guidelines for best practice in freshwater systems have been established, but habitat-specific assessments are lacking. Ponds are highly diverse, yet understudied systems that could benefit from eDNA monitoring. However, eDNA applications in ponds and methodological constraints specific to these environments remain unaddressed. Following a stakeholder workshop in 2017, researchers combined knowledge and expertise to review these applications and challenges that must be addressed for the future and consistency of eDNA monitoring in ponds. The greatest challenges for pond eDNA surveys are representative sampling, eDNA capture, and potential PCR inhibition. We provide recommendations for sampling, eDNA capture, inhibition testing, and laboratory practice, which should aid new and ongoing eDNA projects in ponds. If implemented, these recommendations will contribute towards an eventual broad standardisation of eDNA research and practice, with room to tailor workflows for optimal analysis and different applications. Such standardisation will provide more robust, comparable, and ecologically meaningful data to enable effective conservation and management of pond biodiversity.

Item Type: Article
Uncontrolled Keywords: 04 Earth Sciences, 05 Environmental Sciences, 06 Biological Sciences
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QH Natural history > QH301 Biology
Q Science > QH Natural history > QH426 Genetics
Divisions: Biological & Environmental Sciences (new Sep 19)
Publisher: Springer
Related URLs:
Date Deposited: 02 Jul 2020 11:24
Last Modified: 02 Jul 2020 11:30
DOI or Identification number: 10.1007/s10750-018-3750-5
URI: http://researchonline.ljmu.ac.uk/id/eprint/13232

Actions (login required)

View Item View Item