Evidence map›Paper›PMID 42390233›Full record

ArticlemSphere2026

Salinity-driven microbial adaptation of hydrocarbon-degrading communities in coastal sediments.

Yongyi Peng, Qing Liu, Xianbiao Lin, Fengmin Xing, Shengjie Li, Xinyue Liu, Yingchun Han, Yanbin Chen, Xiyang Dong

Abstract read
In one paragraph

Article in mSphere, 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

9 authors.

Yongyi Peng *Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.ORCID 0000-0002-1037-3957
Qing Liu *Key Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Xianbiao LinFrontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao, China.ORCID 0000-0003-4549-158X
Fengmin XingInstitute of Marine Biology and Pharmacology, Ocean College, Zhejiang University, Zhoushan, China.
Shengjie LiSchool of Oceanography, Shanghai Jiao Tong University, Shanghai, China.
Xinyue LiuKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Yingchun HanKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Yanbin ChenKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.
Xiyang DongKey Laboratory of Marine Genetic Resources, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, China.ORCID 0000-0002-9224-5923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salinity is a major abiotic driver of microbial diversity and metabolic function in coastal ecosystems. While its broad ecological impacts are well established, its role in shaping hydrocarbon-degrading communities and their adaptive mechanisms remains poorly understood. Here, we integrated gene- and genome-resolved metagenomics to investigate how salinity regulates the diversity, ecological interactions, and evolutionary dynamics of aerobic hydrocarbon-degrading microbes in Zhenhai Bay sediments (0.17-28.54 practical salinity units [PSU]). Across the natural salinity gradient, 10 types of hydrocarbon-degrading genes and 30 bacterial genomes spanning four phyla were identified, revealing extensive metabolic potential for the aerobic degradation of both aliphatic and aromatic hydrocarbons. The functional diversity and relative abundance of these genes increased significantly with salinity, accompanied by strong correlations with organic carbon parameters and nitrogen availability. Co-occurrence network analyses showed that hydrocarbon degraders, particularly

Indexed as

Adaptation, PhysiologicalBacteriaGeologic SedimentsHydrocarbonsMicrobiotaSalinityBiodegradation, EnvironmentalGenome, BacterialMetagenomicsPhylogenyHydrocarbonscoastal microbiomehalotolerancehydrocarbon degradationmetagenomicsmicrobial adaptationsalinity gradient

Identifiers

PMID42390233
PMCPMC13410759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.