Evidence map›Paper›PMID 41450823›Full record

ArticleCurrent genomics2025

An Assessment of the Degradation Potential and Genomic Insights Towards Hydroxylated Biphenyls by

Darya Egorova, Bjorn Olsson, Tatyana Kir'yanova, Elena Plotnikova

Abstract read
In one paragraph

Article in Current genomics, 2025. 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. PeerJ · 2026
    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

4 authors.

Darya EgorovaLaboratory of Microbiology of Technogenic Ecosystems, Institute of Ecology and Genetics of Microorganism, UB RAS, Perm, Russia.
Bjorn OlssonSchool of Biosciences, University of Skövde, Skövde, Sweden.
Tatyana Kir'yanovaLaboratory of Microbiology of Technogenic Ecosystems, Institute of Ecology and Genetics of Microorganism, UB RAS, Perm, Russia.
Elena PlotnikovaLaboratory of Microbiology of Technogenic Ecosystems, Institute of Ecology and Genetics of Microorganism, UB RAS, Perm, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hydroxylated biphenyls are currently recognized as secondary pollutants that are hazardous to animals and humans. Bacterial degradation is the most effective method for the degradation of hydroxylated biphenyls. Several strains capable of degrading polychlorinated biphenyls have been described, which also degrade hydroxylated biphenyls. Objectives: 1) To study the biodegradative properties of the Methods: A genome analysis of the strain KT112-7 was conducted based on whole-genome sequencing using various programs and databases (Velvet, CONTIGuator, RAST, KEGG) for annotation and identification of protein-coding sequences. The strain KT112-7 was cultivated in a K1 mineral medium supplemented with mono-hydroxy biphenyls or mono-hydroxybenzoic acids as the carbon source. For the growth test mono-hydroxybiphenyls or mono-hydroxybenzoic acids were dosed at concentrations of 0.5 g/L and 1.0 g/L correspondently, and the bacterial growth was monitored by the optical density. For the biodegradative activity test, mono-hydroxybiphenyls were dosed at a concentration of 0.1 g/L in vials, inoculated with late exponential phase bacteria previously acclimated on biphenyl. Compound analysis was performed using GC-MS, HPLC, and spectrophotometry. Results: It was found that the genome of strain KT112-7 consists of a chromosome and 2 plasmids. Biphenyl degradation genes ( Discussion: Analysis of the translated sequences of the Conclusion: The

Indexed as

bph genesdegradationhydroxylated biphenylsmetabolic pathwayplasmidRhodococcus opacus

Identifiers

PMID41450823
PMCPMC12728593

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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.