Evidence map›Paper›PMID 39956814›Full record

ArticleScientific data2025

A dataset of prokaryotic diversity in the surface layer of the China Seas.

Yanting Liu, Jinxin Xu, Lu Liu, Xiaomeng Wang, Jiaxin Chen, Yunxuan Li, Jiandong Zhang, Chunshan Li, Sijun Huang, Kai Tang and 1 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yanting Liu *State Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Jinxin Xu *State Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Lu LiuState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Xiaomeng WangState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Jiaxin ChenState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Yunxuan LiState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Jiandong ZhangCAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, People's Republic of China.
Chunshan LiCAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, People's Republic of China.
Sijun HuangCAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, People's Republic of China.
Kai TangState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China.
Qiang ZhengState Key Laboratory for Marine Environmental Science, Institute of Marine Microbes and Ecospheres, College of Ocean and Earth Sciences, Xiamen University, Xiamen, People's Republic of China. zhengqiang@xmu.edu.cn.ORCID http://orcid.org/0000-0002-6836-2310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal and nearshore zones, severing as a connection between the land and the open ocean, are some of the most productive and complex ecosystems, where prokaryotes are abundant and highly diverse. However, the systematic study of the diversity of prokaryotes on a large-scale range in coastal and nearshore zones is limited due to scattered sampling sites, various sampling collection methods, and different data processing methods across various studies. Here, we provide a dataset of 16S rRNA gene sequences obtained from the surface water samples across the China Seas, including the Bohai Sea, the Yellow Sea, the East China Sea, and the South China Sea. The dataset comprises 1,194 samples collected through field sampling and literature search. A total of 30,308 operational taxonomic units clustered at 97% sequence identity were obtained. Sixty-five bacterial and nine archaeal phyla were identified. This dataset offers a basic understanding of prokaryotic diversity in the China Seas, also provides a foundation for in-depth investigations into prokaryotic distribution across different regions and their interactions in various environments.

Indexed as

ArchaeaBacteriaBiodiversitySeawaterChinaEcosystemOceans and SeasPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID39956814
PMCPMC11830777

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.