The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
Feio, Maria Joao
Filipe, Ana Filipa
van der Hoorn, Berry
Jones, J. Iwan
Piggott, Jeremy J.
The bioassessment of aquatic ecosystems is currently based on various biotic indices that use the occurrence and/or abundance of selected taxonomic groups to define ecological status. These conventional indices have some limitations, often related to difficulties in morphological identification of bioindicator taxa. Recent development of DNA barcoding and metabarcoding could potentially alleviate some of these limitations, by using DNA sequences instead of morphology to identify organisms and to characterize a given ecosystem. In this paper, we review the structure of conventional biotic indices, and we present the results of pilot metabarcoding studies using environmental DNA to infer biotic indices. We discuss the main advantages and pitfalls of metabarcoding approaches to assess parameters such as richness, abundance, taxonomic composition and species ecological values, to be used for calculation of biotic indices. We present some future developments to fully exploit the potential of metabarcoding data and improve the accuracy and precision of their analysis. We also propose some recommendations for the future integration of DNA metabarcoding to routine biomonitoring programs.
574 - Ecologia general i biodiversitat
Is part of
Science of the Total Environment
Pawlowski, Jan, Mary Kelly-Quinn, Florian Altermatt, Laure Apothéloz-Perret-Gentil, Pedro Beja, Angela Boggero, and Angel Borja et al. 2018. "The Future Of Biotic Indices In The Ecogenomic Era: Integrating (E)DNA Metabarcoding In Biological Assessment Of Aquatic Ecosystems". Science Of The Total Environment 637-638: 1295-1310. Elsevier BV. doi:10.1016/j.scitotenv.2018.05.002.
Grant agreement number
EC/H2020/COST Action CA15219/EU/Developing new genetic tools for bioassessment of aquatic ecosystems in Europe/DNAqua-Net
EC/H2020/668981/EU/Capacity building at InBIO for Research and Innovation Using Envrionmental Metagenomics/EnvMetaGen
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