The effect of filtration method on the efficiency of environmental DNA capture and quantification via metabarcoding

Li, Jianlong; Lawson Handley, Lori Jayne; Read, Daniel S.; Hänfling, Bernd

Abstract

© 2018 John Wiley & Sons Ltd. Environmental DNA (eDNA) is a promising tool for rapid and noninvasive biodiversity monitoring. eDNA density is low in environmental samples, and a capture method, such as filtration, is often required to concentrate eDNA for downstream analyses. In this study, six treatments, with differing filter types and pore sizes for eDNA capture, were compared for their efficiency and accuracy to assess fish community structure with known fish abundance and biomass via eDNA metabarcoding. Our results showed that different filters (with the exception of 20-μm large-pore filters) were broadly consistent in their DNA capture ability. The 0.45-μm filters performed the best in terms of total DNA yield, probability of species detection, repeatability within pond and consistency between ponds. However performance of 0.45-μm filters was only marginally better than for 0.8-μm filters, while filtration time was significantly longer. Given this trade-off, the 0.8-μm filter is the optimal pore size of membrane filter for turbid, eutrophic and high fish density ponds analysed here. The 0.45-μm Sterivex enclosed filters performed reasonably well and are suitable in situations where on-site filtration is required. Finally, prefilters are applied only if absolutely essential for reducing the filtration time or increasing the throughput volume of the capture filters. In summary, we found encouraging similarity in the results obtained from different filtration methods, but the optimal pore size of filter or filter type might strongly depend on the water type under study.

Citation

Li, J., Lawson Handley, L. J., Read, D. S., & Hänfling, B. (2018). The effect of filtration method on the efficiency of environmental DNA capture and quantification via metabarcoding. Molecular Ecology Resources, 18(5), 1102-1114. https://doi.org/10.1111/1755-0998.12899

• Journal Article Type: Article
• Acceptance Date: Apr 19, 2018
• Online Publication Date: May 30, 2018
• Publication Date: 2018-09
• Deposit Date: Jul 6, 2018
• Publicly Available Date: May 31, 2019
• Journal: Molecular Ecology Resources
• Print ISSN: 1755-098X
• Electronic ISSN: 1755-0998
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 18
• Issue: 5
• Pages: 1102-1114
• DOI: https://doi.org/10.1111/1755-0998.12899
• Keywords: eDNA method development; Fish monitoring; Lentic systems; Prefiltration
• Public URL: https://hull-repository.worktribe.com/output/914613
• Publisher URL: https://onlinelibrary.wiley.com/doi/abs/10.1111/1755-0998.12899