Evidence map›Paper›PMID 41342539›Full record

ArticleMicrobiology spectrum2026

Distinct patterns of microbial association across deep-sea corals from the Western Pacific Magellan Seamounts.

Weizhi Song, Shan Zhang, Maeva Perez, Jiasui Li, Haiying Ma, Torsten Thomas, Jian-Wen Qiu, Pei-Yuan Qian

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. 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

8 authors.

Weizhi Song *Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0001-5890-5361
Shan Zhang *Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0002-1246-7017
Maeva PerezDepartment of Biology, Hong Kong Baptist University, Hong Kong SAR, China.ORCID 0000-0003-4532-8299
Jiasui LiSchool of Life and Environmental Sciences, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8452-3674
Haiying MaSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0002-5969-900X
Torsten ThomasCentre for Marine Science and Innovation, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0001-9557-3001
Jian-Wen QiuDepartment of Biology, Hong Kong Baptist University, Hong Kong SAR, China.ORCID 0000-0002-1541-9627
Pei-Yuan QianSouthern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0003-4074-9078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ahermatypic corals are common inhabitants in the Magellan Seamounts of the Western Pacific Ocean, yet their microbiomes are largely unexplored. In the present study, we used 16S rRNA gene amplicon sequencing targeting the V4 variable region to characterize the microbiomes of 30 deep-sea coral samples from 9 coral families collected from this area, including members of the families Schizopathidae, Victorgorgiidae, and Chrysogorgiidae, whose microbiomes had not been previously described. Our analyses revealed distinct patterns of microbial association between the coral families, with most coral samples being dominated by single amplicon sequence variants belonging to 11 prokaryotic genera. Ammonia-oxidizing archaea of the genus

Indexed as

AnthozoaArchaeaBacteriaMicrobiotaAmmoniaAnimalsPacific OceanPhylogenyRNA, Ribosomal, 16SSeawaterSymbiosisAmmoniaRNA, Ribosomal, 16Scoral microbiomedeep seaMagellan SeamountsWestern Pacific Ocean

Identifiers

PMID41342539
PMCPMC12772408

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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.