TY - JOUR
T1 - Ground-truthing of a fish-based environmental DNA metabarcoding method for assessing the quality of lakes
AU - Li, Jianlong
AU - Hatton-Ellis, Tristan W.
AU - Lawson Handley, Lori Jayne
AU - Kimbell, Helen S.
AU - Benucci, Marco
AU - Peirson, Graeme
AU - Hänfling, Bernd
N1 - Funding Information:
This work was part of PhD project of J.L., who was supported by the University of Hull and China Scholarship Council. This work was funded by the UK Environment Agency and Natural Resources Wales. We are particularly grateful to all the site owners and managers for granting access and the Bangor University for providing access to their laboratory facilities. Ecological Consultancy Ltd provided fishery survey data and cooperation in data collation of Cheshire meres. Robert Jaques, Hayley Watson, Mags Cousins, Peter Clabburn, Rob Evans, Sophie Gott, Emma Keenan, Ian Sims, Emma Brown, Jason Jones, Dawn Parry, Peter Shum, Harriet Johnson, Rob Donnelly and Christoph Hahn provided invaluable help during fieldwork and laboratory work.
Funding Information:
China Scholarship Council; Environment Agency; Natural Resources Wales; University of Hull
Funding Information:
This work was part of PhD project of J.L., who was supported by
Publisher Copyright:
© 2019 The Authors. Journal of Applied Ecology © 2019 British Ecological Society
PY - 2019/2/3
Y1 - 2019/2/3
N2 - Accurate, cost-effective monitoring of fish is required to assess the quality of lakes under the European Water Framework Directive. Recent studies have shown that environmental DNA (eDNA) metabarcoding is an effective and non-invasive method, which can provide semi-quantitative information about fish communities in large lakes. This study further investigated the potential of fish-based eDNA metabarcoding as a tool for lake assessment by collecting and analysing water samples from eight Welsh lakes and six meres in Cheshire, England, with well-described fish faunas. Water samples (N = 252) were assayed using two mitochondrial DNA regions (Cytb and 12S rRNA). eDNA sampling indicated the presence of very similar species in the lakes compared to those expected on the basis of existing and historical information. Firstly, 24 species were detected, with a total of 111 species occurrences in the lakes studied using eDNA. Secondly, there was a significant positive correlation between expected faunas and eDNA data in terms of confidence of species occurrence (Spearman's r = 0.74, df = 109, p < 0.001). Thirdly, eDNA data can estimate relative abundance with the standard five-level classification scale (‘DAFOR’). Lastly, four ecological fish communities were characterized using eDNA data which agree with the predefined lake types according to environmental characteristics. Synthesis and applications. There are some limitations when using conventional captured-based methods for surveying species richness and relative abundance, such as morphological identification bias, difficulties in recording small-bodied, rare and/or elusive species and destructive impacts on the environment. This study provides further evidence that environmental DNA metabarcoding outperforms other captured-based survey techniques in a wide range of lake types for community-level analysis whether in species detection, relative abundance estimate using the standard five-level classification scale or characterization ecological fish communities. Therefore, the fish-based environmental DNA metabarcoding, a non-invasive genetic method, has great potential as an assessment tool for lake quality under the European Water Framework Directive.
AB - Accurate, cost-effective monitoring of fish is required to assess the quality of lakes under the European Water Framework Directive. Recent studies have shown that environmental DNA (eDNA) metabarcoding is an effective and non-invasive method, which can provide semi-quantitative information about fish communities in large lakes. This study further investigated the potential of fish-based eDNA metabarcoding as a tool for lake assessment by collecting and analysing water samples from eight Welsh lakes and six meres in Cheshire, England, with well-described fish faunas. Water samples (N = 252) were assayed using two mitochondrial DNA regions (Cytb and 12S rRNA). eDNA sampling indicated the presence of very similar species in the lakes compared to those expected on the basis of existing and historical information. Firstly, 24 species were detected, with a total of 111 species occurrences in the lakes studied using eDNA. Secondly, there was a significant positive correlation between expected faunas and eDNA data in terms of confidence of species occurrence (Spearman's r = 0.74, df = 109, p < 0.001). Thirdly, eDNA data can estimate relative abundance with the standard five-level classification scale (‘DAFOR’). Lastly, four ecological fish communities were characterized using eDNA data which agree with the predefined lake types according to environmental characteristics. Synthesis and applications. There are some limitations when using conventional captured-based methods for surveying species richness and relative abundance, such as morphological identification bias, difficulties in recording small-bodied, rare and/or elusive species and destructive impacts on the environment. This study provides further evidence that environmental DNA metabarcoding outperforms other captured-based survey techniques in a wide range of lake types for community-level analysis whether in species detection, relative abundance estimate using the standard five-level classification scale or characterization ecological fish communities. Therefore, the fish-based environmental DNA metabarcoding, a non-invasive genetic method, has great potential as an assessment tool for lake quality under the European Water Framework Directive.
KW - abundance estimate
KW - community ecology
KW - EC Water Framework Directive
KW - eDNA
KW - fish monitoring methods
KW - lake assessment
KW - metabarcoding
KW - species detection
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U2 - 10.1111/1365-2664.13352
DO - 10.1111/1365-2664.13352
M3 - Article
AN - SCOPUS:85062366247
SN - 0021-8901
VL - 56
SP - 1232
EP - 1244
JO - Journal of Applied Ecology
JF - Journal of Applied Ecology
IS - 5
ER -