Evidence map›Paper›PMID 40313972›Full record

ArticlemLife2025

Archaea show different geographical distribution patterns compared to bacteria and fungi in Arctic marine sediments.

Jianxing Sun, Hongbo Zhou, Haina Cheng, Zhu Chen, Yuguang Wang

Abstract read
In one paragraph

Article in mLife, 2025. 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. Diversity of Archaea.Progress in molecular and subcellular biology · 2026
    Review
  2. Article
  3. 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

5 authors.

Jianxing SunSchool of Minerals Processing and Bioengineering Central South University Changsha China.
Hongbo ZhouSchool of Minerals Processing and Bioengineering Central South University Changsha China.
Haina ChengSchool of Minerals Processing and Bioengineering Central South University Changsha China.
Zhu ChenSchool of Minerals Processing and Bioengineering Central South University Changsha China.
Yuguang WangSchool of Minerals Processing and Bioengineering Central South University Changsha China.ORCID 0000-0003-1984-066X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms dominate marine environments in the polar oceans and are known to harbor greater diversity and abundance than was once thought, and yet, little is known about their biogeographic distribution patterns in marine sediments at a broad spatial scale. In this study, we conducted extensive sampling of marine sediments along a latitudinal transect spanning 2500 km from the Bering Sea to the Arctic Ocean to investigate the geographical distribution patterns of bacteria, archaea, and fungi. Our findings revealed that the community similarities of bacteria and fungi decay at similar rates with increasing geographical distance (slope: -0.005 and -0.002), which are much lower than the decay rate of archaeal communities (slope: -0.012). Notably, microbial richness and community composition showed significant differences in the region of 75-80°N compared to other regions in 60-75°N. Salinity, temperature, pH, ammonium nitrogen, and total organic carbon are key factors that significantly affect microbial community variations. Furthermore, bacterial co-occurrence networks showed more complex interactions but lower modularity than fungal counterparts. This study provides crucial insights into the spatial distribution patterns of bacteria, archaea, and fungi in the Arctic marine sediments and will be critical for a better understanding of microbial global distribution and ecological functions.

Indexed as

Arctic Oceanbiogeographyco‐occurrence patternmarine microorganismsspatial distribution

Identifiers

PMID40313972
PMCPMC12042116

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.