Ground-truthing of a fish-based environmental DNA metabarcoding method for assessing the quality of lakes

摘要

1.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.2.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).3.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.4.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 ecolo