Evidence map›Paper›PMID 42156811›Full record

ArticleScientific reports2026

Comparing DNA metabarcoding with light microscopy to identify eukaryotic phytoplankton in the Baltic Sea, Kattegat and Skagerrak.

Anders Torstensson, Sonia Brugel, Anders F Andersson, Mikael Hedblom, Krzysztof T Jurdzinski, Bengt Karlson, Meike A C Latz, Markus Lindh, Jenny Lycken, Agneta Andersson

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2026. 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

10 authors.

Anders Torstensson *Swedish Meteorological and Hydrological Institute, Västra Frölunda, Sweden. anders.torstensson@smhi.se.
Sonia Brugel *Department of Ecology, Environment and Geoscience, Umeå University, 901 87, Umeå, Sweden.
Anders F AnderssonDepartment of Gene Technology, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.
Mikael HedblomSwedish Meteorological and Hydrological Institute, Västra Frölunda, Sweden.
Krzysztof T JurdzinskiDepartment of Gene Technology, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.
Bengt KarlsonSwedish Meteorological and Hydrological Institute, Västra Frölunda, Sweden.
Meike A C LatzDepartment of Gene Technology, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden.
Markus LindhSwedish Meteorological and Hydrological Institute, Västra Frölunda, Sweden.
Jenny LyckenSwedish Meteorological and Hydrological Institute, Västra Frölunda, Sweden.
Agneta AnderssonDepartment of Ecology, Environment and Geoscience, Umeå University, 901 87, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine phytoplankton monitoring has long relied on microscopy, but DNA metabarcoding has recently emerged as a complementary approach. This study assessed the applicability of DNA metabarcoding of the 18S ribosomal RNA gene in marine monitoring and compared its results with conventional microscopy. We analyzed data from 232 surface water samples from 17 monitoring stations in the Baltic Sea, Kattegat, and Skagerrak. Metabarcoding detected more orders, genera, and species than microscopy, with a 43% overlap in the most common genera identified by both methods. Despite attempts to normalize sequence reads to spike-in DNA or DNA concentrations, the correlations between abundances derived from the two methods were weak, though varied considerably between taxonomic groups and geographical areas. Correlations were consistently stronger when using carbon and biovolume concentrations than cell abundances. Our results highlight the potential of metabarcoding to expand biodiversity assessments and advance our understanding of microbial biodiversity in marine ecosystems. As a complement to microscopy, it can enhance existing monitoring efforts. Future improvements in reference database completeness, adoption of long-read sequencing technologies, and better characterization of gene copy number variability per cell are needed to further extend the applicability of metabarcoding for quantitative analyses.

Indexed as

DNA Barcoding, TaxonomicMicroscopyPhytoplanktonBiodiversityOceans and SeasRNA, Ribosomal, 18SSeawaterRNA, Ribosomal, 18S

Identifiers

PMID42156811
PMCPMC13190673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.