Evidence map›Paper›PMID 39634420›Full record

ArticleHeliyon2024

Comparative metagenomics highlights the habitat-related diversity in taxonomic composition and metabolic potential of deep-sea sediment microbiota.

Rui Lu, Denghui Li, Yang Guo, Zhen Cui, Zhanfei Wei, Guangyi Fan, Weijia Zhang, Yinzhao Wang, Ying Gu, Mo Han and 2 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

12 authors.

Rui LuBGI Research, Qingdao, 266555, China.
Denghui LiBGI Research, Qingdao, 266555, China.
Yang GuoCenter of Deep-Sea Research, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China.
Zhen CuiBGI Research, Qingdao, 266555, China.
Zhanfei WeiBGI Research, Qingdao, 266555, China.
Guangyi FanBGI Research, Qingdao, 266555, China.
Weijia ZhangInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China.
Yinzhao WangState Key Laboratory of Microbial Metabolism, International Center for Deep Life Investigation (IC-DLI), School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Ying GuBGI Research, Shenzhen, 518083, China.
Mo HanBGI Research, Sanya, 572025, China.
Shanshan LiuMGI Tech, Shenzhen, 518083, China.
Liang MengBGI Research, Qingdao, 266555, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sediment plays a pivotal role in deep-sea ecosystems by providing habitats for a diverse range of microorganisms and facilitates the cycling processes of carbon, sulfur and nitrogen. Beyond the normal seafloor (NS), distinctive geographical features such as cold seeps (CS) and hydrothermal vent (HV) are recognized as life oases harboring highly diverse microbial communities. A global atlas of microorganisms can reveal the notable association between geological processes and microbial colonization. However, a comprehensive understanding of the systematic comparison of microbial communities in sediments across various deep-sea regions worldwide and their contributions to Earth's elemental cycles remains limited. Analyzing metagenomic data from 163 deep-sea sediment samples across 73 locations worldwide revealed that microbial communities in CS sediments exhibited the highest richness and diversity, followed by HV sediments, with NS sediments showing the lowest diversity. The NS sediments were predominantly inhabited by

Indexed as

Cold seepHydrothermal ventMarine sedimentMetabolic potentialMetagenomics

Identifiers

PMID39634420
PMCPMC11616513

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.