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The future of biotic indices in the ecogenomic era: Integrating (e) DNA metabarcoding in biological assessment of aquatic ecosystems

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 637, 期 -, 页码 1295-1310

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.05.002

关键词

Biomonitoring; Bioassessment; Marine; Freshwater; Environmental DNA; Metabarcording

资金

  1. European Union [CA15219]
  2. Swiss National Sciences Foundation [313003A_159709]
  3. Swedish Agency for Marine and Water Management (SwAM)
  4. Swiss National Science Foundation [PP00P3_150698, 31003A_173074]
  5. EDP Biodiversity Chair
  6. ERA Chair in Environmental Metagenomics (EU Horizon 2020 research and innovation programme) [668981]
  7. FRESHING Project - FCT
  8. COMPETE [PTDC/AAG-MAA/2261/2014-POCI-01-0145-FEDER-356 016824]
  9. German Federal Ministry for Education and Research (BMBF) [01LI1501E, 01Li1501K]
  10. Italian Ministry of University and Research (MIUR)
  11. Interreg-ADRION [CUP C69H18000250007]
  12. Ministry of National Infrastructures, Energy and Water Resources, Israel
  13. French Biodiversity Agency (AFB)
  14. Ministry of Education, Youth and Sports of the Czech Republic [LTC17075]

向作者/读者索取更多资源

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. (C) 2018 The Authors. Published by Elsevier B.V.

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