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This work assesses the effects of river regulation on the diversity of different instream and riparian biological communities along a relieve gradient of disturbance in regulated rivers. Two case studies in Portugal were used, with different river regulation typology (downstream of run-of-river and reservoir dams), where regulated and free-flowing river stretches were surveyed for riparian vegetation, macrophytes, bryophytes, macroalgae, diatoms and macroinvertebrates. The assessment of the regulation effects on biological communities was approached by both biological and functional diversity analysis. Results of this investigation endorse river regulation as a major factor differentiating fluvial biological communities through an artificial environmental filtering that governs species assemblages by accentuating species traits related to river regulation tolerance. Communities' response to regulation gradient seem to be similar and insensitive to river regulation typology. Biological communities respond to this regulation gradient with different sensibilities and rates of response, with riparian vegetation and macroinvertebrates being the most responsive to river regulation and its gradient. Richness appears to be the best indicator for general fluvial ecological quality facing river regulation. Nevertheless, there are high correlations between the biological and functional diversity indices of different biological groups, which denotes biological connections indicative of a cascade of effects leading to an indirect influence of river regulation even on non-responsive facets of communities' biological and functional diversities. These results highlight the necessary holistic perspective of the fluvial system when assessing the effects of river regulation and the proposal of restoration measures. published

International audience; Diatoms are a compulsory biological quality element in the ecological assessment of rivers according to the Water Framework Directive. The application of current official indices requires the identification of individuals to species or lower rank under a microscope based on the valve morphology. This is a highly time-consuming task, often susceptible of disagreements among analysts. In alternative, the use of DNA metabarcoding combined with High-Throughput Sequencing (HTS) has been proposed. The sequences obtained from environmental DNA are clustered into Operational Taxonomic Units (OTUs), which can be assigned to a taxon using reference databases, and from there calculate biotic indices. However, there is still a high percentage of unassigned OTUs to species due to the incompleteness of reference libraries. Alternatively, we tested a new taxonomy-free approach based on diatom community samples to assess rivers. A combination of three machine learning techniques is used to build models that predict diatom OTUs expected in test sites, under reference conditions, from environmental data. The Observed/Expected OTUs ratio indicates the deviation from reference condition and is converted into a quality class. This approach was never used with diatoms neither with OTUs data. To evaluate its efficiency, we built a model based on OTUs lists (HYDGEN) and another based on taxa lists from morphological identification (HYDMORPH), and also calculated a biotic index (IPS). The models were trained and tested with data from 81 sites (44 reference sites) from central Portugal. Both models were considered accurate (linear regression for Observed and Expected richness: R2 ≈ 0.7, interception ≈ 0.8) and sensitive to global anthropogenic disturbance (Rs2 > 0.30 p < 0.006 for global disturbance). Yet, the HYDGEN model based on molecular data was sensitive to more types of pressures (such as, changes in land use and habitat quality), which gives promising insights to its use for bioassessment of rivers.

International audience; Benthic diatom communities are used in the ecological assessment of Portuguese rivers through the calculation of an autecological index, the IPS (Indice de Polluosensibilite Specifique), officially adopted for Portugal. This index requires a high level of taxonomic expertise for morphological identification of individuals at species level. Advances in genomics, such as the DNA metabarcoding combined with high-throughput sequencing techniques offer a promising alternative to this classical approach, decreasing expertise requirement and therefore reducing time and costs. The aim of this study was to test the potential of DNA metabarcoding of diatoms in the bioassessment of Portuguese rivers, by comparing the classifications of the IPS obtained with morphological and molecular approaches. A total of 88 samples were collected in four river types and a quality gradient in central Portugal in the spring of 2017, following the Water Framework Directive (WFD) standards. The morphological approach comprised taxonomic identification of at least 400 valves, under the light microscope. Molecular approach included eDNA extraction followed by PCR amplification and DNA high-throughput sequencing (Illumina MiSeq) using a diatom-specific 312 bp rbcL DNA barcode. Sequences were analysed with Mothur software, producing Operational Taxonomic Units (OTUs) that were taxonomically assigned using the R-Syst::diatom reference library. We also tested the effect of a correction factor (CF) based on biovolume for the quantification of molecular data. When comparing the number of species identified, morphological, molecular without and with CF inventories revealed 306, 125 and 111 species, respectively. Molecular data showed 67% of unassigned OTUs. These results were mainly due to the incompleteness of the reference library, which currently represents the major difficulty in taxonomic assignment of DNA sequences in metabarcoding. Regarding IPS values, the results indicated a good correlation between morphological and molecular methods, particularly when applying the CF. Furthermore, Principal Coordinates analysis plot based on species abundances revealed a quality gradient in all 3 methodologies (morphological, molecular without and with CF). These results support the hypothesis that DNA metabarcoding is a valid approach for ecological quality assessment of Portuguese rivers. Yet, there is still work to be done on this new methodology to enable a smooth transition between the traditional and this new approach without misspend accumulated knowledge from the last decades on water quality assessment.