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Temporal and spatial variation in distribution of fish environmental DNA in England’s largest lake


Lawson Handley, Lori; Read, Daniel S; Winfield, Ian J; Kimbell, Helen; Johnson, Harriet; Li, Jianlong; Hahn, Christoph; Blackman, Rosetta; Wilcox, Rose; Donnelly, Rob; Szitenberg, Amir; Hänfling, Bernd (2019). Temporal and spatial variation in distribution of fish environmental DNA in England’s largest lake. Environmental DNA, 1(1):26-39.

Abstract

Environmental DNA offers great potential as a biodiversity monitoring tool. Previous work has demonstrated that eDNA metabarcoding provides reliable information for lake fish monitoring, but important questions remain about temporal and spatial repeatability, which is critical for understanding the ecology of eDNA and developing effective sampling strategies. Here, we carried out comprehensive spatial sampling of England's largest lake, Windermere, during summer and winter to (1) examine repeatability of the method, (2) compare eDNA results with contemporary gill‐net survey data, (3) test the hypothesis of greater spatial structure of eDNA in summer compared to winter due to differences in water mixing between seasons, and (4) compare the effectiveness of shore and offshore sampling for species detection. We find broad consistency between the results from three sampling events in terms of species detection and abundance, with eDNA detecting more species than established methods and being significantly correlated with rank abundance determined by long‐term data. As predicted, spatial structure was much greater in the summer, reflecting less mixing of eDNA than in the winter. For example Arctic charr, a deep-water species, was only detected in deep, midlake samples in the summer, while littoral or benthic species such as minnow and stickleback were more frequently detected in shore samples. By contrast in winter, the eDNA of these species was more uniformly distributed. This has important implications for design of sampling campaigns, for example, deep‐water species could be missed and littoral/benthic species overrepresented by focusing exclusively on shoreline samples collected in the summer.

Abstract

Environmental DNA offers great potential as a biodiversity monitoring tool. Previous work has demonstrated that eDNA metabarcoding provides reliable information for lake fish monitoring, but important questions remain about temporal and spatial repeatability, which is critical for understanding the ecology of eDNA and developing effective sampling strategies. Here, we carried out comprehensive spatial sampling of England's largest lake, Windermere, during summer and winter to (1) examine repeatability of the method, (2) compare eDNA results with contemporary gill‐net survey data, (3) test the hypothesis of greater spatial structure of eDNA in summer compared to winter due to differences in water mixing between seasons, and (4) compare the effectiveness of shore and offshore sampling for species detection. We find broad consistency between the results from three sampling events in terms of species detection and abundance, with eDNA detecting more species than established methods and being significantly correlated with rank abundance determined by long‐term data. As predicted, spatial structure was much greater in the summer, reflecting less mixing of eDNA than in the winter. For example Arctic charr, a deep-water species, was only detected in deep, midlake samples in the summer, while littoral or benthic species such as minnow and stickleback were more frequently detected in shore samples. By contrast in winter, the eDNA of these species was more uniformly distributed. This has important implications for design of sampling campaigns, for example, deep‐water species could be missed and littoral/benthic species overrepresented by focusing exclusively on shoreline samples collected in the summer.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Uncontrolled Keywords:eDNA, fish, lakes, metabarcoding, monitoring
Language:English
Date:1 May 2019
Deposited On:23 Oct 2019 15:57
Last Modified:29 Jul 2020 11:31
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:2637-4943
OA Status:Gold
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1002/edn3.5
Official URL:https://www.biorxiv.org/content/10.1101/376400v1
Related URLs:https://onlinelibrary.wiley.com/journal/26374943 (Publisher)

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