Evidence map›Paper›PMID 40670412›Full record

ArticleScientific reports2025

Screening and characterization of soil bacteria for lignin and textile dye effluent bioremediation and optimization using response surface methodology.

Sarah Milad, Sarra E Saleh, Mohammad M Aboulwafa, Nadia A Hassouna

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Article in Scientific reports, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sarah MiladDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Sarra E SalehDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Mohammad M AboulwafaDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt. mohammad.aboulwafa@ksiu.edu.eg.
Nadia A HassounaDepartment of Microbiology and Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, 177 bacterial isolates were recovered from 55 agricultural soil samples collected from various locations in Egypt. Following purification, the isolates were evaluated in solid and liquid phase assays for their capacity to decolorize several types of dyes such as Azure B (AB), methylene blue (MB), and Congo red (CR). The 16S rRNA sequence analysis was used to identify isolates with the highest decolorizing capacity. The two bacterial isolates coded 304 and 434 which exhibited potential ligninolytic activity were identified as Streptomyces griseorubens and Streptomyces intermedius, respectively. Streptomyces intermedius test isolate was selected for optimization experiments using the one-factor-at-a-time approach (OFAT) followed by a statistical method of optimization using response surface methodology (RSM). The optimization experiments resulted in a 2.6-fold increase in dye decolorization capacity after 4 h of incubation with bacterium growth compared to basal conditions and thus indicated a significant reduction in dye decolorization time, accelerating the dye decolorization process and demonstrating enhanced efficiency in ligninolytic enzyme production. In addition, the whole genome sequencing (WGS) process was performed on S. intermedius isolate to detect the relevant genes related to lignin degradation and dye decolorizing activities. After annotation and analysis of the genomic sequence, various genes encoding enzymes related to lignin degradation and dye decolorization activities were identified confirming the genetic potential of this strain for efficient ligninolytic activity. The obtained WGS data was deposited in the NCBI database under the accession code SRR25321249. Taken together, the WGS data are in alignment with phenotypic dye decolorization activity of the selected isolate. Accordingly, the test isolate S. intermedius 434 was considered a potential candidate for lignin biodegradation and textile dye effluent bioremediation.

Indexed as

BacteriaColoring AgentsLigninSoil MicrobiologyStreptomycesBiodegradation, EnvironmentalRNA, Ribosomal, 16STextilesColoring AgentsLigninRNA, Ribosomal, 16SAzure BDye decolorizationKraft ligninLigninolytic enzymesSoil bacteria

Identifiers

PMID40670412
PMCPMC12267582

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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.