Evidence map›Paper›PMID 41258374›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2025

Metagenomic analysis of bacteriome and phageome of wastewater from a ceramic factory in Türkiye.

Elif Aydin, A Karaynir, R G Ozkan, B Bozdogan

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Article in International microbiology : the official journal of the Spanish Society for Microbiology, 2025. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Elif AydinDepartment of Medical Services and Techniques, Vocational School of Tavsanlı Health Services, Kutahya Health Sciences University, Kutahya, Türkiye. elifkn@hotmail.com.ORCID http://orcid.org/0000-0003-0877-453X
A KaraynirRecombinant DNA and Recombinant Protein Center (REDPROM), Aydın Adnan Menderes University, Aydın, Türkiye.ORCID http://orcid.org/0000-0003-0511-0869
R G OzkanRecombinant DNA and Recombinant Protein Center (REDPROM), Aydın Adnan Menderes University, Aydın, Türkiye.ORCID http://orcid.org/0000-0002-2379-0696
B BozdoganRecombinant DNA and Recombinant Protein Center (REDPROM), Aydın Adnan Menderes University, Aydın, Türkiye.ORCID http://orcid.org/0000-0003-2469-9728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophages are major determinants of bacterial community dynamics. Industrial wastewaters constitute distinctive microbe-phage ecosystems shaped by heavy-metal and chemical stressors, yet they remain sparsely characterized by metagenomics. Most existing studies focus on municipal or hospital wastewaters, while phage and bacteriome communities in industrial effluents such as ceramic wastewater are largely unexplored. This study aimed to comprehensively characterize bacterial and phage communities in influent and effluent samples from a ceramic factory using metagenomic approaches. Phage DNA was sequenced on an Illumina NextSeq and processed with a standard bioinformatics pipeline for taxonomic and functional annotation. Of 657 million raw reads, 66% mapped to phage sequences. Caudovirales predominated, with Autographiviridae comprising 59% of classified viral reads. Functional annotation indicated that 64% of assigned genes encoded structural or replication functions. For the bacteriome, 16 S rRNA (V3-V4) amplicons were sequenced on an Illumina NovaSeq 6000 and classified with Kraken2. Proteobacteria dominated both sample types, but community structure shifted along the treatment line: the influent was enriched in environmental-water genera-Flavobacterium (25%), Aeromonas (16%), and Acinetobacter (11%) -whereas the effluent was dominated by Flavobacterium (37%), Hydrogenophaga (25%), and Rhodoferax (14%). Genus-level richness contracted from 228 (influent) to 67 (effluent), and the number of reads entering taxonomic classification declined sharply (1,482,914 vs. 55,847), consistent with selective removal and physicochemical filtering during treatment. Collectively, these results demonstrate that ceramic wastewater harbors a distinct microbe-phage ecosystem molded by chemical and particulate stress. By illuminating an understudied industrial niche, this work provides actionable insights for wastewater treatment, environmental bioremediation, and microbial risk assessment.

Indexed as

BacteriaBacteriophagesMetagenomeWastewaterCeramicsMetagenomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SWastewaterBacteriomeBacteriophageCeramic industryMetagenomic analysisMicrobial communityWastewater

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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.