Abstract

Most stream bioassessment and biodiversity surveys are currently based on morphological identification of communities. However, DNA metabarcoding is emerging as a fast and cost-effective alternative for species identification. We compared both methods in a survey of benthic macroinvertebrate communities across 36 stream sites in northern Finland. We identified 291 taxa of which 62% were identified only by DNA metabarcoding. DNA metabarcoding produced extensive species level inventories for groups (Oligochaeta, Chironomidae, Simuliidae, Limoniidae and Limnephilidae), for which morphological identification was not feasible due to the high level of expertise needed. Metabarcoding also provided more insightful taxonomic information on the occurrence of three red-listed vulnerable or data deficient species, the discovery of two likely cryptic and potentially new species to Finland and species information of insect genera at an early larval stage that could not be separated morphologically. However, it systematically failed to reliably detect the occurrence of gastropods that were easily identified morphologically. The impact of mining on community structure could only be shown using DNA metabarcoding data which suggests that the finer taxonomic detail can improve detection of subtle impacts. Both methods generally exhibited similar strength of community-environment relationships, but DNA metabarcoding showed better performance with presence/absence data than with relative DNA sequence abundances. Our results suggest that DNA metabarcoding holds a promise for future anthropogenic impact assessments, although, in our case, the performance did not improve much from the morphological species identification. The key advantage of DNA metabarcoding lies in efficient biodiversity surveys, taxonomical studies and applications in conservation biology.

Highlights

  • Freshwater biomonitoring and biodiversity assessments are traditionally based on morphological identification of species and specimen count data

  • Our results suggest that DNA metabarcoding holds a promise for future anthropogenic impact assessments, in our case, the performance did not improve much from the morphological species identification

  • Our study shows that bulk metabarcoding produces finer taxonomic resolution than morphological identification which helped to obtain information on species of conservation value

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Summary

Introduction

Freshwater biomonitoring and biodiversity assessments are traditionally based on morphological identification of species and specimen count data. Benthic macroinvertebrates are used to assess the ecological state of streams and lakes Such bioassessment programmes are often limited to genus or family level taxonomic resolution Lucentini et al 2011) This low taxonomic resolution hampers our ability to detect environmental impacts, because even closely-related species can vary in their tolerance to a given stressor and, respond differently to changes in their environment (Resh and Unzicker 1975; Macher et al 2016a). If this is accompanied by misidentifications, the detection of biological impairment is further obscured (Lenat and Resh 2001; Haase et al 2010; Sweeney et al 2011)

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