Abstract
Diatoms are widely applied in the ecological status assessment of aquatic ecosystems using indices calculated from pollution sensitivity and indicator values of species. Traditional, morphology-based identification of species requires in-depth taxonomic knowledge and expertise. Identifying taxa according to their barcode sequences obtained with high-throughput sequencing (metabarcoding) would be a promising alternative. In this pilot study, we tested the applicability of metabarcoding of benthic diatom assemblages for the ecological status assessment of Hungarian water bodies, comparing its performance to that of morphology-based identification of species. The barcode region of the rbcL gene was investigated in samples from running waters with various trophic states and unique lentic habitats, namely soda pans. For running waters, the Specific Pollution Sensitivity Index (IPS) and for soda pans the H index and the Indice Biologique Diatomées (IBD) were calculated from the morphology- and sequence-based abundances. The ecological quality ratio was determined for running waters. Overall, more infrageneric taxa were found with microscopy than with metabarcoding in the lotic and lentic samples. The correspondence between taxon lists detected by the two methods was relatively low but increased considerably in the case of morphologically dominant taxa. Community composition based on microscopy and DNA sequence analysis showed a significant correlation and was determined by the same main environmental drivers. Morphology-based indices strongly correlated with sequence-based indices. Both aspects indicated the same ecological status class for more than half of the lotic samples. In other cases, a status shift from good to moderate was frequent, a phenomenon that could prove problematic because the Water Framework Directive prescribes intervention for waters with a moderate or worse status. Considering discrepancies between the results obtained with microscopy and metabarcoding, using both methods in parallel could be proposed until the reference database has been suitably updated.
Highlights
Humans influence aquatic ecosystems in many ways through ur banisation (Søndergaard and Jeppesen, 2007), transport, agriculture and industrial activities
There were 347 species belonging to 80 genera and 28 families in rivers and streams and 139 species and infraspecific taxa belonging to 34 genera and 17 families in soda pans
We evaluated the performance of metabarcod ing in ecological status assessment of Hungarian waters and compared it to the validated morphology-based method
Summary
Humans influence aquatic ecosystems in many ways through ur banisation (Søndergaard and Jeppesen, 2007), transport, agriculture and industrial activities. These involve physical (e.g. hydro morphological modifications; Elosegi and Sabater, 2013), chemical (various kinds of pollutions originating from point and diffuse sources; Nikanorov and Stradomskaya, 2007; Wen et al, 2017) and biological impacts (e.g. introduction of alien species; Richardson, 2011).
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