Evidence map›Paper›PMID 39354003›Full record

ArticleScientific data2024

Metagenome sequencing and 982 microbial genomes from Kermadec and Diamantina Trenches sediments.

Yingdong Li, Hao Liu, Yao Xiao, Hongmei Jing

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

4 authors.

Yingdong LiInstitute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.ORCID 0000-0002-4971-4165
Hao LiuInstitute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
Yao XiaoInstitute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
Hongmei JingInstitute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, China. hmjing@idsse.ac.cn.ORCID 0000-0002-1795-5650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep-sea trenches representing an intriguing ecosystem for exploring the survival and evolutionary strategies of microbial communities in the highly specialized deep-sea environments. Here, 29 metagenomes were obtained from sediment samples collected from Kermadec and Diamantina trenches. Notably, those samples covered a varying sampling depths (from 5321 m to 9415 m) and distinct layers within the sediment itself (from 0~40 cm in Kermadec trench and 0~24 cm in Diamantina trench). Through metagenomic binning process, we reconstructed 982 metagenome assembled genomes (MAGs) with completeness >60% and contamination <5%. Within them, completeness of 351 MAGs were >90%, while an additional 331 were >80%. Phylogenomic analysis for the MAGs revealed nearly all of them were distantly related to known cultivated isolates. The abundant bacterial MAGs affiliated to phyla of Proteobacteria, Planctomycetota, Nitrospirota, Acidobacteriota, Actinobacteriota, and Chlorofexota, while the abundant archaeal phyla affiliated with Nanoarchaeota and Thermoproteota. These results provide a dataset available for further interrogation of diversity, distribution and ecological function of deep-sea microbes existed in the trenches.

Indexed as

ArchaeaBacteriaGeologic SedimentsMetagenomePhylogenyGenome, ArchaealGenome, MicrobialMicrobiota

Identifiers

PMID39354003
PMCPMC11445380

What OpenQuestion holds

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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.