Evidence map›Paper›PMID 42106447›Full record

ArticleScientific reports2026

New isolates of Pseudomonas and Streptomyces as bioremediation tools for aclonifen removal.

Paulina Książek-Trela, Ewa Szpyrka

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Paulina Książek-TrelaFaculty of Biotechnology, Collegium Medicum, University of Rzeszow, 1 Pigonia St., Rzeszow, 35-310, Poland. pksiazek@ur.edu.pl.
Ewa SzpyrkaFaculty of Biotechnology, Collegium Medicum, University of Rzeszow, 1 Pigonia St., Rzeszow, 35-310, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aclonifen is a persistent diphenyl-ether herbicide whose accumulation in agricultural soils poses an increasing environmental challenge. Identifying efficient microbial degraders is therefore essential for developing sustainable remediation strategies. In this study, we demonstrate for the first time the ability of four previously characterized diflufenican-degrading bacterial isolates: Pseudomonas sp. 10Kp8 - A1, Pseudomonas chlororaphis subsp. aureofaciens B19 - A2, Pseudomonas baetica JZY4-9 - C1, and Streptomyces atratus ROA017 - D1, and their four-strain consortium to degrade aclonifen in liquid medium and soil. All strains were able to remove aclonifen as the sole carbon source, achieving degradation efficiencies of 50-60% in mineral salt medium (MSM) after 21 days. Strains A2 and D1 were the most effective and were therefore selected for soil experiments, where the maximum degradation reached 69% for strain D1 by day 28. In both environments, individual strains consistently outperformed the mixed consortium, indicating potential antagonistic interactions within the mixture. By demonstrating that bacteria originally selected for diflufenican removal can successfully target another herbicide, this work introduces a novel and promising biological strategy for the remediation of aclonifen-contaminated environments. These findings broaden the range of microbial candidates for sustainable pesticide remediation and establish a basis for the future development of biological strategies for contaminated agricultural soils.

Indexed as

HerbicidesPseudomonasSoil PollutantsStreptomycesBiodegradation, EnvironmentalSoil MicrobiologyHerbicidesSoil PollutantsAclonifenBiodegradationBioremediationHerbicidesPseudomonasStreptomyces

Identifiers

PMID42106447
PMCPMC13346503

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.