Evidence map›Paper›PMID 39597767›Full record

ArticleMicroorganisms2024

Analysis of Microbial Community Heterogeneity and Carbon Fixation Capabilities in Oil-Contaminated Soils in Chinese Onshore Oilfields.

Jiayu Song, Yakui Chen, Yilei Han, Yunzhao Li, Zheng Liu, Xingchun Li, Diannan Lu, Chunmao Chen

Abstract read
In one paragraph

Article in Microorganisms, 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

8 authors.

Jiayu SongState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Yakui ChenDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Yilei HanDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Yunzhao LiCollege of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing 102206, China.
Zheng LiuDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Xingchun LiState Key Laboratory of Petroleum Pollution Control, Beijing 102206, China.
Diannan LuDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Chunmao ChenCollege of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing 102206, China.

Funding

China National Petroleum Corporation Research Institute of Safety and Environmental Technology No.2021DQ03-A4、No.2023ZZ1303the Independent Project from the State Key Laboratory of Petroleum Pollution Control No. RISEAW2019002
6 · The paper itself

Abstract

This study selected 27 soil samples from four representative horizontally distributed onshore oilfields in China to explore the diversity of soil microbial communities and their carbon fixation capacity, with a focus on the potential interaction between pollution and carbon fixation under oil pollution stress. The analysis of the soil physicochemical properties and microbial community structures from these oilfield samples confirmed a clear biogeographic isolation effect, indicating spatial heterogeneity in the microbial communities. Additionally, the key factors influencing microbial community composition differed across regions. The dominant bacterial phyla of soil microorganisms under soil pollution stress were Proteobacteria, Actinobacteriota, Chloroflexi, Acidobacteriota, Firmicutes, Bacteroidota, and Gemmatimonadota. A correlation network analysis identified

Indexed as

carbon fixationcorrelation networkmetabolic pathwaysmicrobial diversityoil-contaminated soilspetroleum hydrocarbon degradation

Identifiers

PMID39597767
PMCPMC11596683

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.