Evidence map›Paper›PMID 35889179›Full record

ArticleMicroorganisms2022

Metagenomic Analysis of the Species Composition and Seasonal Distribution of Marine Dinoflagellate Communities in Four Korean Coastal Regions.

Jinik Hwang, Hee Woong Kang, Seung Joo Moon, Jun-Ho Hyung, Eun Sun Lee, Jaeyeon Park

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Jinik HwangWest Sea Fisheries Research Institute, National Institute of Fisheries Science, Incheon 22383, Korea.
Hee Woong KangWest Sea Fisheries Research Institute, National Institute of Fisheries Science, Incheon 22383, Korea.
Seung Joo MoonEnvironment and Resource Convergence Center, Advanced Institute of Convergence Technology, Suwon 16229, Korea.
Jun-Ho HyungEnvironment and Resource Convergence Center, Advanced Institute of Convergence Technology, Suwon 16229, Korea.
Eun Sun LeeEnvironment and Resource Convergence Center, Advanced Institute of Convergence Technology, Suwon 16229, Korea.
Jaeyeon ParkEnvironment and Resource Convergence Center, Advanced Institute of Convergence Technology, Suwon 16229, Korea.ORCID 0000-0001-9116-1720
Advanced Institute of Convergence Technology · KRNational Institute of Fisheries Science · KR

Funding

National Fisheries Research and Development Institute R2022005National Research Foundation of Korea NRF-2021R1A2C1005943
6 · The paper itself

Abstract

Biomonitoring of dinoflagellate communities in marine ecosystems is essential for efficient water quality management and limiting ecosystem disturbances. Current identification and monitoring of toxic dinoflagellates, which cause harmful algal blooms, primarily involves light or scanning electron microscopy; however, these techniques are limited in their ability to monitor dinoflagellates and plankton, leaving an incomplete analysis. In this study, we analyzed the species composition and seasonal distribution of the dinoflagellate communities in four Korean coastal regions using 18S rRNA amplicon sequencing. The results showed significantly high diversity in the dinoflagellate communities in all regions and seasons. Furthermore, we found seasonally dominant species and causative species of harmful algal blooms (

Indexed as

dinoflagellatesmetagenomicsmonitoringnext-generation sequencing

Identifiers

PMID35889179
PMCPMC9320301
OpenAlexW4286214496

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.