Evidence map›Paper›PMID 29891895›Full record

ArticleScientific reports2018

Vertical and horizontal biogeographic patterns and major factors affecting bacterial communities in the open South China Sea.

Yi Li, Lin-Lin Sun, Mei-Ling Sun, Hai-Nan Su, Xi-Ying Zhang, Bin-Bin Xie, Xiu-Lan Chen, Yu-Zhong Zhang, Qi-Long Qin

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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

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

15 citing papers in PubMed.

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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

9 authors.

Yi LiMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Lin-Lin SunMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Mei-Ling SunMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Hai-Nan SuMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Xi-Ying ZhangMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Bin-Bin XieMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Xiu-Lan ChenMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Yu-Zhong ZhangMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China.
Qi-Long QinMarine Biotechnology Research Center, State Key Laboratory of Microbial Technology, College of life science, Shandong University, Jinan, 250100, China. qinqilong@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms display diverse biogeographic patterns in the three-dimensional contiguous seawater. The distance-decay relationship, the change in species composition similarity between different communities over a geographic distance, is a commonly observed biogeographic pattern. To study biogeographic patterns and the corresponding driving forces, the bacterial distance-decay patterns along the horizontal and vertical dimensions in the South China Sea (SCS) were investigated through the sequencing of partial 16 S rRNA gene regions. Along the horizontal geographical distances (up to ~1000 km), no significant distance-decay pattern in community compositions was observed in any of the tested seawater layers. However, vertical depths (up to ~4 km) had strong effects on bacterial community variation, which was apparently governed by dispersal barriers due to limited water mass mixing. In addition, community variations in the vertical direction were strongly correlated with the prominent variation of environmental factors. Apparently, the changes in bacterial community compositions along vertical distances were much greater than those along horizontal distances. The results showed that the distance-decay relationship in bacterial communities at the medium spatial scale was associated with vertical depth rather than with horizontal distance, even though the horizontal distance is much larger than the vertical distance in the open SCS.

Indexed as

BiotaPhylogeographyBacteriaChinaCluster AnalysisDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SSeawaterSequence Analysis, DNASpatial AnalysisDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID29891895
PMCPMC5995897

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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.