Evidence map›Paper›PMID 41112759›Full record

ArticlePeerJ2025

Metabarcoding analysis reveals hidden eukaryotic plankton biodiversity in the Ross Sea, Antarctica.

Soyun Choi, Eunkyung Choi, Minjoo Cho, Seung Jae Lee, Inseo Kim, Doyoon Shin, Jangyeon Kim, Hyoung Sul La, Jae-Sung Rhee, Jeong-Hoon Kim and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Soyun Choi *Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Eunkyung Choi *Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Minjoo ChoDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Seung Jae LeeDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Inseo KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Doyoon ShinDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Jangyeon KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Hyoung Sul LaDivision of Ocean & Atmosphere Sciences, Korea Polar Research Institute (KOPRI), Incheon, Republic of Korea.
Jae-Sung RheeDepartment of Marine Science, College of Natural Sciences, Incheon National University, Incheon, Republic of Korea.
Jeong-Hoon KimDivision of Life Sciences, Korea Polar Research Institute (KOPRI), Incheon, Republic of Korea.
Hyun ParkDepartment of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Environmental DNA (eDNA) analysis is a highly sensitive, non-destructive method that enables the detection of various species through DNA shed into environmental samples without requiring direct organism collection. This study sought to investigate the biodiversity and community structure of eukaryotic plankton, including phytoplankton and zooplankton, in the Ross Sea marine protected area (RSR MPA) using eDNA metabarcoding analysis. By examining their spatial and vertical distributions, the study underscores the importance of continuous monitoring for the conservation of the RSR MPA. Methods: We collected 48 seawater samples from 16 sites in the Ross Sea region for eDNA metabarcoding analysis, targeting the 18S rRNA gene region of eukaryotic plankton in Antarctica. Bioinformatic processing and taxonomic classification were conducted to assess the diversity and community composition of phytoplankton and zooplankton. Results: Phytoplankton communities were primarily composed of six phyla with their distribution patterns and the grouping of samples with similar community structures was found to be shaped by the ocean currents of the RSR MPA and various environmental factors, such as salinity and dissolved oxygen levels. Zooplankton communities consisted of 18 major taxonomic groups, exhibiting distinct horizontal and vertical distribution patterns with differences in taxonomic community structure and species diversity across depth groups. Notably, previously undetected Antarctic species were identified in the Ross Sea region, demonstrating the effectiveness of eDNA in revealing hidden biodiversity. Conclusions: Analyzing eukaryotic plankton communities in the vast and extreme Antarctic environment based on eDNA has proven to be highly efficient, enabling the detection of a greater number of species, including those that were difficult to identify in previous studies. It was observed that in the Ross Sea Marine Protected Area, various species form distinct community structures such as phytoplankton and zooplankton, each inhabiting the area according to different environmental variables and habitat preferences. As a designated marine protected area, the Ross Sea's unique ecosystem requires continuous monitoring and conservation efforts to address environmental changes. The genetic data obtained in this study contributes to expanding the database of Antarctic-specific species, facilitating more accurate and efficient analyses of Antarctic ecosystems in the future.

Indexed as

BiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalPhytoplanktonPlanktonZooplanktonAnimalsAntarctic RegionsRNA, Ribosomal, 18SSeawaterDNA, EnvironmentalRNA, Ribosomal, 18SEnvironmental DNAEukaryotic diversityMarine protected areaMetabarcodingPhytoplanktonRoss SeaZooplankton

Identifiers

PMID41112759
PMCPMC12533539

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.