Evidence map›Paper›PMID 31795180›Full record

ArticleMicroorganisms2019

Environmental DNA Sequencing Reveals a Highly Complex Eukaryote Community in Sansha Yongle Blue Hole, Xisha, South China Sea.

Yueteng Liu, Hui He, Liang Fu, Qian Liu, Zuosheng Yang, Yu Zhen

Abstract read
In one paragraph

Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. Extremofiles 2.0.Microorganisms · 2021
    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

6 authors.

Yueteng LiuKey Laboratory of Marine Environment and Ecology, Ministry of Education, Qingdao 266100, China.
Hui HeCollege of Marine Life Science, Ocean University of China, Qingdao 266003, China.
Liang FuSansha Trackline Institute of Coral Reef Environment Protection, Sansha 573199, China.
Qian LiuCollege of Marine Life Science, Ocean University of China, Qingdao 266003, China.
Zuosheng YangCollege of Marine Geosciences, Ocean University of China, Qingdao 266100, China.
Yu ZhenKey Laboratory of Marine Environment and Ecology, Ministry of Education, Qingdao 266100, China.ORCID 0000-0003-1097-8179

Funding

the China Postdoctoral Science Foundation No. 2018M632722the Fundamental Research Funds for the Central Universities No. 201762038the National Natural Science Foundation of China No. 41806131
6 · The paper itself

Abstract

We report an Illumina high-throughput sequencing protocol of eukaryotic microbes in the world's deepest marine blue hole, Sansha Yongle Blue Hole, Xisha, South China Sea. The variable V9 region of small subunit (SSU) rDNA, was sequenced using this approach from the waters of blue hole and outer reef slope. 917,771 unique eukaryotic 18S rRNA gene sequences and 6093 operational taxonomic units (OTUs) were identified. Significant differences in the eukaryotic composition were observed between the blue hole and outer reef slope, and the richness in the blue hole was much higher than that in the outer reef slope. The richness and diversity of eukaryotes in the blue hole were both lowest at 60 m and highest at 100 m depth. Eukaryotic microalgae assemblages dominated by Dinophyceae were the most abundant in the 10-20 m water column in the hole. Fauna was the main group at and below a depth of 60 m, where Araneae and Cyclopoida were dominant in the 60 m and 80 m water layer, respectively. There was a large number of Entoprocta at a depth of 180 m in the hole, where little oxygen was detected. Turbidity and nitrite concentration had a significant effect on the eukaryote community structure (

Indexed as

Entoproctaeukaryotehigh-throughput sequencingmarine blue holeSSU rDNA

Identifiers

PMID31795180
PMCPMC6956243

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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.