2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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5/22/2018  |   3:00 PM - 3:15 PM   |  FRESHWATER QUALITY ASSESSMENT USING DIATOM DNA METABARCODING: PROGRESS AND PROSPECTS IN THE FRAME OF FRENCH RIVERS MONITORING NETWORKS   |  420 B

FRESHWATER QUALITY ASSESSMENT USING DIATOM DNA METABARCODING: PROGRESS AND PROSPECTS IN THE FRAME OF FRENCH RIVERS MONITORING NETWORKS

DNA-metabarcoding of benthic diatoms has shown its potential for water quality assessment. Several optimizations have been proposed now for major steps of the workflow: taxonomic resolution of DNA barcodes, efficiency of DNA extraction methods, completion of barcode reference database, and use of correction factor to obtain taxa quantification equivalent to microscopy. Placed end-to-end, those improvements make the DNA-metabarcoding approach a viable alternative to the morphological approach (microscopy) for quality assessment of rivers in monitoring networks. We set up this bioassessment innovative approach, using the diatom rbcL barcode, at the scale of river monitoring networks in Mayotte Island and France. The DNA-metabarcoding approach proved to be faster and cheaper than the classical one. Molecular-based quality index values were highly correlated to morphological ones and congruent with the river quality status. Correlation between molecular and morphological based indices were increased by the completion of the reference database and the use of correction factors. Those results confirm the potential of DNA-metabarcoding for bioassessment, but also raised questions about the need of standardization and harmonization prior its implementation into biomonitoring campaigns.

  • Water Quality
  • Metagenomics
  • Periphyton

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Presenters/Authors

Valentin Vasselon (), INRA CARRTEL, Valentin.Vasselon@inra.fr;


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Sinziana Rivera (), INRA CARRTEL, sinziana.rivera@inra.fr;


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Isabelle Domaizon (), INRA CARRTEL, isabelle.domaizon@inra.fr;


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Frédéric Rimet (), INRA CARRTEL, frederic.rimet@inra.fr;


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Agnès Bouchez (), INRA (French National Institute for Agricultural Research), agnes.bouchez@inra.fr;


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