| Reference : Mobilome-driven segregation of the resistome in biological wastewater treatment |
| Scientific journals : Article | |||
| Life sciences : Environmental sciences & ecology Life sciences : Microbiology Human health sciences : Public health, health care sciences & services | |||
| Systems Biomedicine | |||
| http://hdl.handle.net/10993/52764 | |||
| Mobilome-driven segregation of the resistome in biological wastewater treatment | |
| English | |
de Nies, Laura  [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology] | |
| Busi, Susheel Bhanu [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology] | |
| Kunath, Benoît [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology >] | |
| May, Patrick [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core] | |
| Wilmes, Paul [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology] | |
| 16-Sep-2022 | |
| eLife | |
| eLife Sciences Publications, Ltd | |
| 11 | |
| e81196 | |
| Yes | |
| International | |
| 2050-084X | |
| [en] Biological wastewater treatment plants (BWWTP) are considered to be hotspots of evolution and subsequent spread of antimicrobial resistance (AMR). Mobile genetic elements (MGEs) promote the mobilization and dissemination of antimicrobial resistance genes (ARGs) and are thereby critical mediators of AMR within the BWWTP microbial community. At present, it is unclear whether specific AMR categories are differentially disseminated via bacteriophages (phages) or plasmids. To understand the segregation of AMR in relation to MGEs, we analyzed meta-omic (metagenomic, metatranscriptomic and metaproteomic) data systematically collected over 1.5 years from a BWWTP. Our results showed a core group of fifteen AMR categories which were found across all timepoints. Some of these AMR categories were disseminated exclusively (bacitracin) or primarily (aminoglycoside, MLS and sulfonamide) via plasmids or phages (fosfomycin and peptide), whereas others were disseminated equally by both MGEs. Combined and timepoint-specific analyses of gene, transcript and protein abundances further demonstrated that aminoglycoside, bacitracin and sulfonamide resistance genes were expressed more by plasmids, in contrast to fosfomycin and peptide AMR expression by phages, thereby validating our genomic findings. In the analyzed communities, the dominant taxon Candidatus Microthrix parvicella was a major contributor to several AMR categories whereby its plasmids primarily mediated aminoglycoside resistance. Importantly, we also found AMR associated with ESKAPEE pathogens within the BWWTP, for which MGEs also contributed differentially to the dissemination of ARGs. Collectively our findings pave the way towards understanding the segmentation of AMR within MGEs, thereby shedding new light on resistome populations and their mediators, essential elements that are of immediate relevance to human health. | |
| Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) ; Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) | |
| Fonds National de la Recherche - FnR (CORE/BM/11333923) ; European Research Council (ERC-CoG 863664) ; Fonds National de la Recherche Luxembourg (PRIDE/11823097) ; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (CRSII5_180241) | |
| Researchers ; Professionals ; General public | |
| http://hdl.handle.net/10993/52764 | |
| 10.7554/eLife.81196 | |
| https://doi.org/10.7554/eLife.81196 | |
| FnR ; FNR11333923 > Paul Wilmes > MiBiPa > Non-invasive Microbiome-derived Multi-omic Biomarkers For The Early-stage Detection And Stratification Of Parkinson’S Disease > 01/09/2017 > 28/02/2021 > 2016 |
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