Evidence map›Paper›PMID 26121668›Full record

ArticlePloS one2015

Seasonal Dynamics of Marine Microbial Community in the South Sea of Korea.

Sung-Suk Suh, Mirye Park, Jinik Hwang, Eui-Joon Kil, Seung Won Jung, Sukchan Lee, Taek-Kyun Lee

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  7. Assessment of diversity of archaeal communities in Algerian chott.Extremophiles : life under extreme conditions · 2022
    Article
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  9. The Prevalence ofPathogens (Basel, Switzerland) · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Disentangling the abundance and structure ofComputational and structural biotechnology journal · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Spatiotemporal Dynamics ofFrontiers in microbiology · 2020
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Sung-Suk SuhSouth Sea Environment Research Department, Korea Institute of Ocean Science and Technology, Geoje, 656-830, Republic of Korea.
Mirye ParkSouth Sea Environment Research Department, Korea Institute of Ocean Science and Technology, Geoje, 656-830, Republic of Korea; Korea University of Science and Technology, Daejeon, 305-350, Republic of Korea.
Jinik HwangSouth Sea Environment Research Department, Korea Institute of Ocean Science and Technology, Geoje, 656-830, Republic of Korea; Korea University of Science and Technology, Daejeon, 305-350, Republic of Korea.
Eui-Joon KilDepartment of Genetic Engineering Sungkyunkwan University, Suwon, 440-746, Republic of Korea.
Seung Won JungSouth Sea Environment Research Department, Korea Institute of Ocean Science and Technology, Geoje, 656-830, Republic of Korea.
Sukchan LeeDepartment of Genetic Engineering Sungkyunkwan University, Suwon, 440-746, Republic of Korea.
Taek-Kyun LeeSouth Sea Environment Research Department, Korea Institute of Ocean Science and Technology, Geoje, 656-830, Republic of Korea; Korea University of Science and Technology, Daejeon, 305-350, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution 16S rRNA tag pyrosequencing was used to obtain seasonal snapshots of the bacterial diversity and community structure at two locations in Gosung Bay (South Sea, Korea) over a one year period. Seasonal sampling from the water column at each site revealed highly diverse bacterial communities containing up to 900 estimated Operational Taxonomic Units (OTUs). The Alphaproteobacteria and Gammaproteobacteria were the most abundant groups, and the most frequently recorded OTUs were members of Pelagibacter and Glaciecola. In particular, it was observed that Arcobacter, a genus of the Epsilonproteobacteria, dominated during summer. In addition, Psedoalteromonadaceae, Vibrionaceae and SAR11-1 were predominant members of the OTUs found in all sampling seasons. Environmental factors significantly influenced the bacterial community structure among season, with the phosphate and nitrate concentrations contributing strongly to the spatial distribution of the Alphaproteobacteria; the Gammaproteobacteria, Flavobacteria, and Actinobacteria all showed marked negative correlations with all measured nutrients, particularly silicon dioxide and chlorophyll-a. The results suggest that seasonal changes in environmental variables contribute to the dynamic structure of the bacterial community in the study area.

Indexed as

BiodiversitySeasonsWater MicrobiologyBacteriaCluster AnalysisEvolution, MolecularPhylogenyRepublic of KoreaRNA, Ribosomal, 16SSeawaterRNA, Ribosomal, 16S

Identifiers

PMID26121668
PMCPMC4487691

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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.