Evidence map›Paper›PMID 31863131›Full record

ArticleMicrobial ecology2020

Significant Bacterial Distance-Decay Relationship in Continuous, Well-Connected Southern Ocean Surface Water.

Zhi-Bin Wang, Yuan-Yuan Sun, Yi Li, Xiu-Lan Chen, Peng Wang, Hai-Tao Ding, Bo Chen, Xi-Ying Zhang, Xiao-Yan Song, Min Wang and 3 more

Abstract read
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In one paragraph

Article in Microbial ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  5. Human associated Archaea: a neglected microbiome worth investigating.World journal of microbiology & biotechnology · 2024
    Review
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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

13 authors.

Zhi-Bin WangInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Yuan-Yuan SunInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Yi LiInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Xiu-Lan ChenInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Peng WangLaboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, Qingdao, China.
Hai-Tao DingPolar Research Institute of China, Shanghai, China.
Bo ChenPolar Research Institute of China, Shanghai, China.
Xi-Ying ZhangInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Xiao-Yan SongInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Min WangCollege of Marine Life Sciences, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, China.
Andrew McMinnCollege of Marine Life Sciences, Institute for Advanced Ocean Study, Ocean University of China, Qingdao, China.
Yu-Zhong ZhangInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China.
Qi-Long QinInstitute of Marine Science and Technology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China. qinqilong@sdu.edu.cn.ORCID http://orcid.org/0000-0002-0082-382X

Funding

AoShan Talents Cultivation Program 2017ASTCP-OS14National Key R&D Program of China 2018YFC1406706National Science Foundation of China U1706207Taishan Scholars Program of Shandong Province 2009TS079Young Scholars Program of Shandong University 2016WLJH36
6 · The paper itself

Abstract

Recently, an increasing number of studies have focused on the biogeographic distribution of marine microorganisms. However, the extent to which geographic distance can affect marine microbial communities is still unclear, especially for the microbial communities in well-connected surface seawaters. In this study, the bacterial community compositions of 21 surface seawater samples, that were distributed over a distance of 7800 km, were surveyed to investigate how bacterial community similarity changes with increasing geographical distance. Proteobacteria and Bacteroidetes were the dominant bacterial phyla, with Proteobacteria accounting for 52.6-92.5% and Bacteroidetes comprising 3.5-46.9% of the bacterial communities. A significant bacterial distance-decay relationship was observed in the well-connected Southern Ocean surface seawater. The number of pairwise shared operational taxonomic units (OTUs), and community similarities tended to decrease with increasing geographic distance. Calculation of the similarity indices with all, abundant or rare OTUs did not affect the observed distance-decay relationship. Spatial distance can largely explain the observed bacterial community variation. This study shows that even in well-connected surface waters, bacterial distance-decay patterns can be found as long as the geographical distance is great enough. The biogeographic patterns should then be present for marine microorganisms considering the large size and complexity of the marine ecosystem.

Indexed as

MicrobiotaBacteriaGeographyOceans and SeasSeawaterBacterial communityBiogeographic patternDistance-decaySouthern Ocean

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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.