The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems
Creators
- 1. Department of Genetics and Evolution, University of Geneva, CH-1211 Geneva (Switzerland)
- 2. School of Biology & Environmental Science, University College Dublin (Ireland)
- 3. Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich (Switzerland)
- 4. CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, 4485–601 Vairão, Portugal, CEABN/InBIO-Centro de Estudos Ambientais 'Prof. Baeta Neves', Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa (Portugal)
Description
Highlights: • Current biomonitoring approaches are widely used but have some limitations. • DNA metabarcoding provides a new complementary tool for biomonitoring. • Metabarcoding allows extending the range of taxa used as bioindicators. • Metabarcoding data could be used to establish molecular metrics and indices. • Future work should standardise procedures and improve data analysis. 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.scitotenv.2018.05.002Additional details
Identifiers
- DOI
- 10.1016/j.scitotenv.2018.05.002;
- PII
- S0048969718316322;
Publishing Information
- Journal Title
- Science of the Total Environment
- Journal Volume
- 637
- Journal Page Range
- p. 1295-1310
- ISSN
- 0048-9697
- CODEN
- STENDL
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53021992
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AQUATIC ECOSYSTEMS; BIOLOGICAL INDICATORS; DATA; DATA ANALYSIS; DNA; FRESH WATER; MORPHOLOGY; RECOMMENDATIONS; REVIEWS
- Descriptors DEC
- DATA PROCESSING; DOCUMENT TYPES; ECOSYSTEMS; HYDROGEN COMPOUNDS; INFORMATION; NUCLEIC ACIDS; ORGANIC COMPOUNDS; OXYGEN COMPOUNDS; PROCESSING; WATER
Optional Information
- Copyright
- Copyright (c) 2018 The Authors. Published by Elsevier B.V.