Feedstock-dependent antibiotic resistance gene patterns and expression profiles in industrial scale biogas plants revealed by meta-omics technology.

Autor: Wirth R; Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary; Department of Biotechnology and Microbiology, University of Szeged, Szeged, Hungary., Shetty P; Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary., Bagi Z; Department of Biotechnology and Microbiology, University of Szeged, Szeged, Hungary., Kovács KL; Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary; Department of Biotechnology and Microbiology, University of Szeged, Szeged, Hungary., Maróti G; Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary; Department of Aquatic Environmental Sciences, Faculty of Water Sciences, Ludovika University of Public Service, Baja, Hungary. Electronic address: maroti.gergely@brc.hu.
Jazyk: angličtina
Zdroj: Water research [Water Res] 2025 Jan 01; Vol. 268 (Pt A), pp. 122650. Date of Electronic Publication: 2024 Oct 18.
DOI: 10.1016/j.watres.2024.122650
Abstrakt: This study investigated antimicrobial resistance in the anaerobic digesters of two industrial-scale biogas plants processing agricultural biomass and municipal wastewater sludge. A combination of deep sequencing and genome-centric workflow was implemented for metagenomic and metatranscriptomics data analysis to comprehensively examine potential antimicrobial resistance in microbial communities. Anaerobic microbes were found to harbour numerous antibiotic resistance genes (ARGs), with 58.85% of the metagenome-assembled genomes (MAGs) harbouring antibiotic resistance. A moderately positive correlation was observed between the abundance and expression of ARGs. ARGs were located primarily on bacterial chromosomes. A higher expression of resistance genes was observed on plasmids than on chromosomes. Risk index assessment suggests that most ARGs identified posed a significant risk to human health. However, potentially pathogenic bacteria showed lower ARG expression than non-pathogenic ones, indicating that anaerobic treatment is effective against pathogenic microbes. Resistomes at the gene category level were associated with various antibiotic resistance categories, including multidrug resistance, beta-lactams, glycopeptides, peptides, and macrolide-lincosamide-streptogramin (MLS). Differential expression analysis revealed specific genes associated with potential pathogenicity, emphasizing the importance of active gene expression in assessing the risks associated with ARGs.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier Ltd.)
Databáze: MEDLINE
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