Evidence map›Paper›PMID 38351104›Full record

ArticleScientific data2024

Recovery of 1887 metagenome-assembled genomes from the South China Sea.

Shuaishuai Xu, Hailong Huang, Songze Chen, Zain Ul Arifeen Muhammad, Wenya Wei, Wei Xie, Haibo Jiang, Shengwei Hou

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

8 authors.

Shuaishuai Xu *Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Hailong Huang *School of Marine Sciences, Ningbo University, Ningbo, 315211, China.
Songze Chen *Department of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Zain Ul Arifeen MuhammadDepartment of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China.
Wenya WeiSchool of Marine Sciences, Sun Yat-sen University, Guangzhou, 510632, China.
Wei XieSchool of Marine Sciences, Sun Yat-sen University, Guangzhou, 510632, China.
Haibo JiangSchool of Marine Sciences, Ningbo University, Ningbo, 315211, China. jianghaibo@nbu.edu.cn.
Shengwei HouDepartment of Ocean Science & Engineering, Southern University of Science and Technology, Shenzhen, 518055, China. housw@sustech.edu.cn.ORCID 0000-0002-4474-7443

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32170108National Natural Science Foundation of China (National Science Foundation of China) 42188102National Natural Science Foundation of China (National Science Foundation of China) 42276163National Natural Science Foundation of China (National Science Foundation of China) 92051117Shenzhen Science and Technology Innovation Commission JCYJ20220530115401003
6 · The paper itself

Abstract

The South China Sea (SCS) is a marginal sea characterized by strong land-sea biogeochemical interactions. SCS has a distinctive landscape with a multitude of seamounts in its basin. Seamounts create "seamount effects" that influence the diversity and distribution of planktonic microorganisms in the surrounding oligotrophic waters. Although the vertical distribution and community structure of marine microorganisms have been explored in certain regions of the global ocean, there is a lack of comprehensive microbial genomic surveys for uncultured microorganisms in SCS, particularly in the seamount regions. Here, we employed a metagenomic approach to study the uncultured microbial communities sampled from the Xianbei seamount region to the North Coast waters of SCS. A total of 1887 non-redundant prokaryotic metagenome-assembled genomes (MAGs) were reconstructed, of which, 153 MAGs were classified as high-quality MAGs based on the MIMAG standards. The community structure and genomic information provided by this dataset could be used to analyze microbial distribution and metabolism in the SCS.

Indexed as

MetagenomeMicrobiotaWater MicrobiologyChinaGenomicsMetagenomicsOceans and Seas

Identifiers

PMID38351104
PMCPMC10864278

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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.