Evidence map›Paper›PMID 29442157›Full record

ArticleMicrobial ecology2018

Distribution Patterns of Microbial Community Structure Along a 7000-Mile Latitudinal Transect from the Mediterranean Sea Across the Atlantic Ocean to the Brazilian Coastal Sea.

Jin Zhou, Xiao Song, Chun-Yun Zhang, Guo-Fu Chen, Yong-Min Lao, Hui Jin, Zhong-Hua Cai

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 42 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Jin ZhouShenzhen Public Platform for Screening and Application of Marine Microbial Resources, Graduate School at Shenzhen, Tsinghua University, Shenzhen University Town, Room 905, Marine Building, Xili Town, Shenzhen, 518055, Guangdong Province, People's Republic of China.
Xiao SongThe Department of Life Science, Tsinghua University, Beijing, People's Republic of China.
Chun-Yun ZhangSchool of Marine Science and Technology, Harbin Institute of Technology, Weihai, Shangdong Province, People's Republic of China.
Guo-Fu ChenSchool of Marine Science and Technology, Harbin Institute of Technology, Weihai, Shangdong Province, People's Republic of China. chenguofu@hitch.edu.cn.
Yong-Min LaoShenzhen Public Platform for Screening and Application of Marine Microbial Resources, Graduate School at Shenzhen, Tsinghua University, Shenzhen University Town, Room 905, Marine Building, Xili Town, Shenzhen, 518055, Guangdong Province, People's Republic of China.
Hui JinShenzhen Public Platform for Screening and Application of Marine Microbial Resources, Graduate School at Shenzhen, Tsinghua University, Shenzhen University Town, Room 905, Marine Building, Xili Town, Shenzhen, 518055, Guangdong Province, People's Republic of China.
Zhong-Hua CaiShenzhen Public Platform for Screening and Application of Marine Microbial Resources, Graduate School at Shenzhen, Tsinghua University, Shenzhen University Town, Room 905, Marine Building, Xili Town, Shenzhen, 518055, Guangdong Province, People's Republic of China. caizh@sz.tsinghua.edu.cn.
Harbin Institute of Technology · CNShenzhen University · CNTsinghua University · CNUniversity Town of Shenzhen · CN

Funding

HIT Scientific Research Innovation Fund HIT.NSRIF.201702Marine Fishery Science and Technology & Industry Development of Guangdong Province A201603D05NSFC 41476092Shenzhen Science and Technology Innovation Committee KQJSCX20160226190419, JCYJ20170412171959157, and JCYJ20150529164918736
6 · The paper itself

Abstract

A central goal in marine microecology is to understand the ecological factors shaping spatiotemporal microbial patterns and the underlying processes. We hypothesized that abiotic and/or biotic interactions are probably more important for explaining the distribution patterns of marine bacterioplankton than environmental filtering. In this study, surface seawater samples were collected about 7000 miles from the Mediterranean Sea, transecting the North Atlantic Ocean, to the Brazilian marginal sea. In bacterial biosphere, SAR11, SAR86, Rhodobacteraceae, and Rhodospiriaceae were predominant in the Mediterranean Sea; Prochlorococcus was more frequent in Atlantic Ocean; whereas in the Brazilian coastal sea, the main bacterial members were Synechococcus and SAR11. With respect to archaea, Euryarchaeota were predominant in the Atlantic Ocean and Thaumarchaeota in the Mediterranean Sea. With respect to the eukaryotes, Syndiniales, Spumellaria, Cryomonadida, and Chlorodendrales were predominant in the open ocean, while diatoms and microzooplankton were dominant in the coastal sea. Distinct clusters of prokaryotes and eukaryotes displayed clear spatial heterogeneity. Among the environmental parameters measured, temperature and salinity were key factors controlling bacterial and archaeal community structure, respectively, whereas N/P/Si contributed to eukaryotic variation. The relative contribution of environmental parameters to the microbial distribution pattern was 45.2%. Interaction analysis showed that Gammaproteobacteria, Alphaproteobacteria, and Flavobacteriia were the keystone taxa within the positive-correlation network, while Thermoplasmata was the main contributor in the negative-correlation network. Our study demonstrated that microbial communities are co-governed by environmental filtering and biotic interactions, which are the main deterministic driving factors modulating the spatiotemporal patterns of marine plankton synergistically at the regional or global levels.

Indexed as

BiodiversityArchaeaAtlantic OceanBacteriaBrazilMediterranean SeaPhylogenySeawaterArchaeaAtlantic OceanBacteriaCo-occurrence patternsMicroeukaryotes

Identifiers

PMID29442157
OpenAlexW2792797768

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.