| Literature DB >> 29801222 |
Jan Pawlowski1, Mary Kelly-Quinn2, Florian Altermatt3, Laure Apothéloz-Perret-Gentil4, Pedro Beja5, Angela Boggero6, Angel Borja7, Agnès Bouchez8, Tristan Cordier4, Isabelle Domaizon8, Maria Joao Feio9, Ana Filipa Filipe5, Riccardo Fornaroli10, Wolfram Graf11, Jelger Herder12, Berry van der Hoorn13, J Iwan Jones14, Marketa Sagova-Mareckova15, Christian Moritz16, Jose Barquín17, Jeremy J Piggott18, Maurizio Pinna19, Frederic Rimet8, Buki Rinkevich20, Carla Sousa-Santos21, Valeria Specchia19, Rosa Trobajo22, Valentin Vasselon8, Simon Vitecek23, Jonas Zimmerman24, Alexander Weigand25, Florian Leese26, Maria Kahlert27.
Abstract
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.Entities:
Keywords: Bioassessment; Biomonitoring; Environmental DNA; Freshwater; Marine; Metabarcording
Mesh:
Year: 2018 PMID: 29801222 DOI: 10.1016/j.scitotenv.2018.05.002
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963