Evidence map›Paper›PMID 42545630›Full record

ArticleBiodegradation2026

Congo Red removal and toxicity reduction by lichen endophytic fungi: A multi-trophic evaluation.

Ozlem Gulmez Aksak, Burak Güçlü, Ebru Gezgincioglu, Buket Bakan, Hatice Dane, Handan Uysal

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Article in Biodegradation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Ozlem Gulmez AksakDepartment of Biology, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey. ozlemgulmez@atauni.edu.tr.
Burak GüçlüDepartment of Biology, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey.
Ebru GezginciogluDepartment of Biology, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey.
Buket BakanDepartment of Molecular Biology and Genetics, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey.
Hatice DaneDepartment of Biology, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey.
Handan UysalDepartment of Biology, Faculty of Science, Atatürk University, 25240, Erzurum, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discharge of toxic, carcinogenic, and genotoxic dyes, such as Congo Red, commonly used in the food, textile, cosmetic, and pharmaceutical industries, into soil and water represents a major environmental problem that adversely affects ecosystems. Microbial treatment has emerged as a promising strategy for the removal of Congo Red from contaminated environments. In this study, Congo Red removal was evaluated using fungi isolated from lichens inhabiting rocks in extreme environments, and HPLC was used to assess changes in the chromatographic profile following fungal treatment. The toxic effects of untreated and fungal-treated Congo Red solutions were assessed using terrestrial (Triticum aestivum and Drosophila melanogaster), aquatic (Daphnia magna), and mammalian (L929 mouse fibroblast cell line) biological models. The highest Congo Red removal efficiencies were achieved with Aspergillus flavus, Cladosporium limoniforme, and Fusarium redolens. While untreated Congo Red exhibited pronounced toxic effects, the fungal-treated solutions showed markedly reduced acute toxicity under the tested experimental conditions. Similar results were obtained in the cell culture assays. This study demonstrates that lichen-associated fungi effectively removed Congo Red from the culture medium under the tested conditions, accompanied by a marked reduction in toxicity. However, the relative contributions of biotransformation and biosorption require further investigation.

Indexed as

Congo RedEndophytesFungiLichensAnimalsAspergillus flavusBiodegradation, EnvironmentalCell LineCladosporiumDaphniaDrosophila melanogasterFusariumMiceCongo RedCongo RedDye removalEndophytic fungiFungal transformationToxicity assessment

Identifiers

PMID42545630

What OpenQuestion holds

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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.