Evidence map›Paper›PMID 39695203›Full record

ArticleScientific data2024

Microbial profiling of the East Siberian Sea sediments using 16S rRNA gene and metagenome sequencing.

Jehyun Jeon, Yerin Park, Dong-Hun Lee, Ji-Hoon Kim, Young Keun Jin, Jong Kuk Hong, Yung Mi Lee

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jehyun JeonDivision of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.ORCID 0000-0003-4684-0745
Yerin ParkDivision of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
Dong-Hun LeeDivision of Earth and Environmental System Sciences, Pukyong National University, Busan, 48513, Republic of Korea.
Ji-Hoon KimMarine Geology & Energy Division, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34312, Republic of Korea.
Young Keun JinDivision of Glacier and Earth Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
Jong Kuk HongDivision of Glacier and Earth Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea.
Yung Mi LeeDivision of Life Sciences, Korea Polar Research Institute, Incheon, 21990, Republic of Korea. ymlee@kopri.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arctic Ocean is experiencing significant global warming, leading to reduced sea-ice cover, submarine permafrost thawing, and increased river discharge. The East Siberian Sea (ESS) undergoes more significant terrestrial inflow from coastal erosion and river runoff than other Arctic seas. Despite extensive research on environmental changes, microbial communities and their functions in the ESS, which are closely related to environmental conditions, remain largely unexplored. Here, we investigated microbial communities in ESS surface sediments spanning latitudes from 73°N to 77°N using 16S rRNA amplicon sequencing, and reconstructed 211 metagenome-assembled genomes (MAGs) using shotgun metagenome sequencing. Taxonomic analysis identified 209 bacterial MAGs, with the predominant phyla Pseudomonadota (n = 82), Actinobacteriota (n = 38), Desulfobacterota (n = 23), along with 2 archaeal MAGs of Thermoproteota. Notably, 86% of the MAGs (n = 183) could not be classified into known species, indicating the potential presence of novel and unidentified microorganisms in the ESS. This dataset provides invaluable information on the microbial diversity and ecological functions in the rapidly changing ESS.

Indexed as

ArchaeaBacteriaGeologic SedimentsMetagenomeRNA, Ribosomal, 16SArctic RegionsMicrobiotaOceans and SeasSiberiaRNA, Ribosomal, 16S

Identifiers

PMID39695203
PMCPMC11655862

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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.