ArticlePeerJ2025
Integrative omics analysis of plant-microbe synergies in petroleum pollution remediation.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- Functional divergence of bacterial communities in root zones of Suaeda salsa in an aged petroleum-polluted area of the Yellow River Delta.World journal of microbiology & biotechnology · 2026Article
- Functional metabolite signatures reveal biochemical recovery trajectories in oil-polluted soils undergoing bioremediation.Biodegradation · 2026Article
- Microbial remediation of petroleum hydrocarbon contaminated soil: research progress on bioaugmentation, biostimulation, and combined remediation techniques.World journal of microbiology & biotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the petrochemical industry continues to advance, the exacerbation of ecological imbalance and environmental degradation due to petroleum pollution is increasingly pronounced. The synergistic interaction between plants and microorganisms are pivotal in the degradation of petroleum hydrocarbons; however, the underlying degradation mechanisms are not yet fully understood. This study aims to contribute to understanding these mechanisms by employing a multi-omics approach, integrating transcriptomics, 16S rRNA gene sequencing, and metabolomics, to analyze key differential genes, dominant microbial strains, and root-secreted metabolites involved in petroleum hydrocarbon degradation in alfalfa. Our findings revealed that several stress-related genes are upregulated in alfalfa contaminated with petroleum hydrocarbon. Moreover,
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Registered trials
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.