Metabarcoding of zooplankton to derive indicators of pelagic ecosystem status

Authors

DOI:

https://doi.org/10.17159/sajs.2022/12977

Keywords:

barcoding reference databases, climate change, essential ocean variables, ocean observations, zooplankton biodiversity

Abstract

Zooplankton play a key role in marine food webs and carbon cycling and are useful indicators of climaterelated changes and ocean health in pelagic ecosystems. Zooplankton are traditionally identified to species through microscopy, but new molecular techniques have enabled the identification of individual specimens (DNA barcoding) or multiple species in the same sample (DNA metabarcoding). Metabarcoding has been tested and refined using zooplankton collected in South African waters for the first time. Challenges to the implementation of DNA-based methods to measure zooplankton biodiversity easily and routinely include an incomplete DNA barcode reference library, logistical complexity and uptake of the new technology by environmental management agencies. These challenges call for a national effort to intensify zooplankton barcoding initiatives and to effectively engage stakeholders in developing a roadmap towards application of DNA-based methods in marine environmental management.

Significance:

  • Metabarcoding has been successfully applied to marine zooplankton for the first time in South Africa, demonstrating its potential as a tool to generate ecosystem indicators during routine ocean observations.
  • National barcoding efforts must be intensified to provide a comprehensive reference library of zooplankton DNA.
  • Effective engagement with stakeholders is required to overcome logistical and policy challenges, and to provide a roadmap towards application of DNA-based methods in marine environmental management.

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Published

2022-11-30

How to Cite

Huggett, J. A., Groeneveld, J. C., Singh, S. P., Willows-Munro, S., Govender, A., Cedras, R., & Deyzel, S. H. (2022). Metabarcoding of zooplankton to derive indicators of pelagic ecosystem status. South African Journal of Science, 118(11/12). https://doi.org/10.17159/sajs.2022/12977

Issue

Section

Research Letter

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