Evidence map›Paper›PMID 28306743›Full record

ArticlePloS one2017

Characterization of spatial distribution of the bacterial community in the South Sea of Korea.

Ji-Hui Seo, Ilnam Kang, Seung-Jo Yang, Jang-Cheon Cho

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In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  14. The Majority of ActiveFrontiers in microbiology · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ji-Hui SeoDepartment of Biological Sciences, Inha University, Incheon, Republic of Korea.
Ilnam KangDepartment of Biological Sciences, Inha University, Incheon, Republic of Korea.
Seung-Jo YangDepartment of Biological Sciences, Inha University, Incheon, Republic of Korea.
Jang-Cheon ChoDepartment of Biological Sciences, Inha University, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-0666-3791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to investigate the importance of spatial and environmental factors on the structure and diversity of bacterial communities, high-resolution 16S rRNA gene tag pyrosequencing was applied to bacterial communities in the littoral sea. Seawater samples were prepared from seven different stations in the South Sea of Korea, the marginal sea in the western Pacific Ocean, and were divided into three groups according to distances from the coastline. The majority of 19,860 sequences were affiliated with Alphaproteobacteria (58.2%), Gammaproteobacteria (7.9%), and Bacteroidetes (13.9%). The bacterioplankton community at each station was highly diverse and varied among the samples. Major bacterial lineages showed different niche preferences among three locational groups. Alphaproteobacteria was the most abundant bacterial class, and it harbored the most frequently recorded operational taxonomic units (OTUs) in all sampling stations. However, dominant groups at the order levels showed a clear difference among the samples. The SAR11 clade was more abundant in coastal waters while the Roseobacter clade prevailed at stations far away from the coastline. Furthermore, members of Actinobacteria and Cyanobacteria also exhibited spatial variability. The OM1 clade in Actinobacteria constituted a predominant fraction in coastal samples, but it was essentially absent at the distal stations closer to open ocean. In contrast, Synechococcus was the predominant taxon in the distal samples, accounting for 7.1-19.5%, but was hardly detected in coastal waters, representing less than 0.7%. In Bacteroidetes, NS5 and NS9 groups tended to inhabit coastal waters while the genera Polaribacter and Ulvibacter were more abundant in distal stations. Clustering analysis and principle coordinates analysis based on OTU data indicated that bacterial communities in the studied area were separated into three groups that coincided with locational grouping. Statistical analysis showed that phosphate and dissolved oxygen concentration had a significant influence on the bacterial community composition.

Indexed as

Water MicrobiologyBacteriaRepublic of KoreaRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID28306743
PMCPMC5357018

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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.