Evidence map›Paper›PMID 42746962›Full record

ArticleJournal of basic microbiology2026

Mechanisms Underlying Efficient n-Eicosane Degradation and Physiological Adaptation in Rhodococcus erythropolis KB1.

Yan Zhuang, Zhenjun Zhang, Ning Zhu, Feifan Leng, Yonggang Wang

Abstract read
In one paragraph

Article in Journal of basic microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yan ZhuangSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, China.
Zhenjun ZhangSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, China.
Ning ZhuSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, China.ORCID https://orcid.org/0009-0009-5279-1418
Feifan LengSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, China.
Yonggang WangSchool of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, China.ORCID https://orcid.org/0000-0003-3762-6421

Funding

National Natural Science Foundation of China 31760028National Natural Science Foundation of China 32460931National Natural Science Foundation of China 42267017
6 · The paper itself

Abstract

Low temperature limits microbial remediation of petroleum hydrocarbon-contaminated environments, yet the physiological basis for long-chain alkane degradation under cold stress remains insufficiently understood. In this study, Rhodococcus erythropolis KB1 was cultured with n-eicosane as the sole carbon source at 4°C, 16°C, and 30°C for 5, 10, and 15 days. Degradation performance, growth-associated traits, surface tension, membrane permeability, redox-energy metabolism, key enzyme activities, and putative GC-MS signals were evaluated. KB1 showed the highest n-eicosane degradation efficiency at 30°C, reaching 86.84 ± 0.21% by Day 15, accompanied by enhanced biomass accumulation, protein content, cytochrome P450 monooxygenase (CYP450) activity, adenosine triphosphate (ATP) and nicotinamide adenine dinucleotide phosphate (NADPH) contents, and Na

Indexed as

Adaptation, PhysiologicalAlkanesRhodococcusAdenosine TriphosphateBiodegradation, EnvironmentalBiomassCold TemperatureCytochrome P-450 Enzyme SystemGas Chromatography-Mass SpectrometryOxidation-ReductionPetroleumTemperatureAdenosine TriphosphateAlkanesCytochrome P-450 Enzyme SystemPetroleumcold adaptationmembrane permeabilityn‐eicosane degradationpetroleum hydrocarbon bioremediationredox‐energy metabolismR. erythropolis KB1

Identifiers

PMID42746962
PMCPMC13579710

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.