Evidence map›Paper›PMID 41673004›Full record

ArticleScientific data2026

35 metagenomic datasets from the northern and southern parts of the Yap trench sediments.

Mingyang Niu, Lulu Fu, Qingyun Yan, Zhili He, Dong Li, Yu Zhen, Minxiao Wang, Chaolun Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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

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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

8 authors.

Mingyang NiuMarine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.ORCID http://orcid.org/0000-0002-4117-6032
Lulu FuCenter of Deep Sea Research & Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China. fululu@qdio.ac.cn.
Qingyun YanMarine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.ORCID http://orcid.org/0000-0003-0053-892X
Zhili HeMarine Synthetic Ecology Research Center, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
Dong LiKey Laboratory of Marine Ecosystem Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China. lidong@sio.org.cn.
Yu ZhenCollege of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, China.
Minxiao WangCenter of Deep Sea Research & Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.ORCID http://orcid.org/0000-0002-6567-3295
Chaolun LiCenter of Deep Sea Research & Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China.ORCID http://orcid.org/0000-0003-1890-0587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hadal trench is the deepest part of the global ocean and harbors highly abundant microbial cells. However, the diversity and function of the majority of microbial communities in this part of the ocean are still unclear. Here, we collected 35 metagenomes from three push cores across different sites in both the northern and southern Yap trench to construct a comprehensive gene and genome dataset. A total of 32 million non-redundant genes were predicted from the whole metagenome datasets, with 63% assigned to known functional groups based on currently available databases. A total of 404 metagenome-assembled genomes (MAGs) with completeness >50% and contamination <10% were retrieved, and their taxonomy was highly diverse across 26 phyla. Alpha- and Gammaproteobacteria, Phycisphaerae, Nitrospiria, and Dehalococcoidia were dominant classes across all samples. The nonredundant gene and MAG datasets are valuable resources for advancing our understanding of the diversity, composition, and functions of microbiota in the sediment of the hadal trench.

Indexed as

Geologic SedimentsMetagenomeMicrobiotaBacteriaMetagenomics

Identifiers

PMID41673004
PMCPMC13005013

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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.