Evidence map›Paper›PMID 33772091›Full record

ArticleScientific reports2021

Dynamic bacterial community response to Akashiwo sanguinea (Dinophyceae) bloom in indoor marine microcosms.

Seung Won Jung, Junsu Kang, Joon Sang Park, Hyoung Min Joo, Sung-Suk Suh, Donhyug Kang, Taek-Kyun Lee, Hyun-Jung Kim

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

8 authors.

Seung Won JungLibrary of Marine Samples, Korea Institute of Ocean Science and Technology, Geoje, 53201, Republic of Korea. diatoms@kiost.ac.kr.
Junsu KangLibrary of Marine Samples, Korea Institute of Ocean Science and Technology, Geoje, 53201, Republic of Korea.
Joon Sang ParkLibrary of Marine Samples, Korea Institute of Ocean Science and Technology, Geoje, 53201, Republic of Korea.
Hyoung Min JooDivision of Polar Ocean Science, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
Sung-Suk SuhDepartment of Bioscience, Mokpo National University, Muan, 58554, Republic of Korea.
Donhyug KangMaritime Security Research Center, Korea Institute of Ocean Science and Technology, Busan, 49111, Republic of Korea.
Taek-Kyun LeeRisk Assessment Research Center, Korea Institute of Ocean Science and Technology, Geoje, 53201, Republic of Korea.
Hyun-Jung KimLibrary of Marine Samples, Korea Institute of Ocean Science and Technology, Geoje, 53201, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the dynamics of the bacterial composition and metabolic function within Akashiwo sanguinea bloom using a 100-L indoor microcosm and metagenomic next-generation sequencing. We found that the bacterial community was classified into three groups at 54% similarity. Group I was associated with "during the A. sanguinea bloom stage" and mainly consisted of Alphaproteobacteria, Flavobacteriia and Gammaproteobacteria. Meanwhile, groups II and III were associated with the "late bloom/decline stage to post-bloom stage" with decreased Flavobacteriia and Gammaproteobacteria in these stages. Upon the termination of the A. sanguinea bloom, the concentrations of inorganic nutrients (particularly PO

Indexed as

Harmful Algal BloomMetagenomeAlphaproteobacteriaCarbonDinoflagellidaFlavobacteriaceaeGammaproteobacteriaHigh-Throughput Nucleotide SequencingNitrogenPhosphorusSeawaterCarbonNitrogenPhosphorus

Identifiers

PMID33772091
PMCPMC7997919

What OpenQuestion holds

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LicenceCC BY
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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.