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The Floating Lab: Standard Operational Procedure for Collecting and Filtering Seawater Samples from Operating Ferries for Environmental DNA Analysis

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Unveiling Ross Sea eukaryotic diversity through environmental DNA metabarcoding.

Soyun Choi¹, Eunkyung Choi¹, Inseo Kim¹

¹Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, 02841, Republic of Korea.

Marine Environmental Research

|July 10, 2026

Summary

This summary is machine-generated.

Environmental DNA (eDNA) metabarcoding reveals stable eukaryotic communities in the Ross Sea region Marine Protected Area (RSR MPA), driven by environmental factors like thermal stratification. This study expands polar marine biodiversity data for conservation.

Keywords:

Biodiversity Environmental DNA Eukaryotic community Marine protected area Metabarcoding Ross sea

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Area of Science:

Marine ecology
Molecular biology
Antarctic research

Background:

Traditional biodiversity surveys are limited in remote Antarctic marine ecosystems.
Comprehensive molecular datasets for the Ross Sea are scarce.
Environmental DNA (eDNA) metabarcoding offers a powerful alternative for monitoring.

Purpose of the Study:

To conduct a two-year eDNA metabarcoding survey in the Ross Sea region Marine Protected Area (RSR MPA).
To characterize eukaryotic communities and their functional roles.
To identify drivers of community structure and assess ecological stability.

Main Methods:

Collected seawater samples from multiple stations across two years (2024-2025).
Utilized eDNA metabarcoding to characterize eukaryotic communities.
Assigned taxa to functional groups and analyzed environmental variables.

Main Results:

92 species were consistently detected, indicating core community stability.
Foundational species like dinoflagellates and diatoms persisted.
Thermal stratification and water mass properties were primary drivers of community structure.

Conclusions:

eDNA metabarcoding provides valuable biodiversity data for the RSR MPA.
Environmental variables significantly structure Antarctic marine eukaryotic communities.
The generated dataset supports future integrative analyses for conservation and management.