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Refining Zooplankton Diet Composition Studies Over Short and Long Time Scales by Combining 18S Metabarcoding With

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Summary

Prompt sample processing is crucial for accurate zooplankton diet analysis using DNA metabarcoding. Different 18S rRNA gene regions and sample types yield varied results, highlighting the need for careful methods.

Keywords:
diet compositionfatty acidskrillmetabarcodingsalpszooplankton

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Area of Science:

  • Marine ecology
  • Molecular ecology
  • Biogeochemistry

Background:

  • Diet composition reveals trophic interactions in aquatic ecosystems.
  • DNA metabarcoding of 18S rRNA gene is a key tool for zooplankton diet studies.
  • Effective sample processing is vital to prevent DNA degradation by enzymes.

Purpose of the Study:

  • Compare prey composition in Antarctic krill using 18S rRNA V4 and V7 regions.
  • Evaluate the impact of processing treatments on krill and salp prey detection.
  • Integrate DNA metabarcoding and fatty acid analysis to assess zooplankton digestion and diet.

Main Methods:

  • DNA metabarcoding targeting 18S rRNA gene variable regions (V4 and V7).
  • Comparative analysis of prey DNA in krill and salp samples under different processing conditions.
  • Fatty acid (FA) analysis of stomach and tissue samples from krill and salps.

Main Results:

  • Prompt processing is essential for detecting rapidly digested prey, like gelatinous plankton, in krill.
  • 18S rRNA V4 and V7 regions yield significantly different prey community data from the same krill samples.
  • Fatty acid profiles differed between stomach and tissue samples, indicating distinct short- and long-term dietary signals.

Conclusions:

  • Standardized, rapid sample processing is critical for reliable DNA metabarcoding of zooplankton diets.
  • The choice of 18S rRNA variable region impacts prey detection and limits cross-study comparisons.
  • Combining DNA metabarcoding with fatty acid analysis provides a comprehensive understanding of zooplankton feeding ecology and digestion efficiency.