Academic Journal
Meta-analysis and interpretable machine learning characterize ARG and MGE co-enrichment under microplastic exposure during anaerobic digestion.
| Τίτλος: | Meta-analysis and interpretable machine learning characterize ARG and MGE co-enrichment under microplastic exposure during anaerobic digestion. |
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| Συγγραφείς: | Dong Y; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China., Meng S; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China., Yan L; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China., Tang X; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China., Li Q; School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China. Electronic address: qian.li@xauat.edu.cn. |
| Πηγή: | Journal of environmental management [J Environ Manage] 2026 Sep 15; Vol. 417, pp. 130998. Date of Electronic Publication: 2026 Sep 21. |
| Τύπος έκδοσης: | Journal Article; Meta-Analysis |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8630 (Electronic) Linking ISSN: 03014797 NLM ISO Abbreviation: J Environ Manage Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London ; New York, Academic Press. |
| Ιατρικοί όροι (MeSH): | Drug Resistance, Microbial*/genetics , Machine Learning* , Microplastics* , Interspersed Repetitive Sequences*, Anaerobiosis ; Sewage ; Boosting Machine Learning Algorithms ; Bioreactors |
| Περίληψη: | Waste activated sludge is an important sink for microplastics (MPs), and anaerobic digestion (AD), the mainstream process for sludge treatment, may provide conditions that facilitate MP-associated enrichment and dissemination of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs), posing potential resistance-related risks. However, how MP physical attributes and AD operating conditions are jointly associated with ARG and MGE dynamics remains unclear. Here, we integrated evidence using dependency-aware three-level random-effects meta-analysis and XGBoost-SHAP association analysis, with reactor mode tested as a moderator and generalizability assessed by study-grouped and leave-one-study-out validation. MP exposure was associated with 57.5% and 35.0% increases in ARGs and MGEs, respectively, while responses were broadly consistent across batch and semi-continuous reactors. Tetracycline, β-lactam, and sulfonamide ARGs showed enrichment, whereas MGE responses were concentrated in integron-related elements, particularly intI1. SHAP analysis associated MP shape and aging status more strongly with ARG enrichment and particle size more closely with MGE responses, while incubation duration acted as a shared factor. Joint interaction analysis identified shape- and aging-centred combinations as predominantly ARG-associated, duration-temperature interactions as predominantly MGE-associated, and particle size and duration as links between the two response structures. The design separates pooled-effect estimation and reactor-related moderation from nonlinear association mapping while accounting for dependent observations across studies. Together, the findings support a staged associative framework linking plastisphere establishment, ARG host enrichment, and MGE-associated mobilization, providing a basis for coordinated monitoring and management of MP-related resistance risks in AD systems. (Copyright © 2026 Elsevier Ltd. All rights reserved.) |
| 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. |
| Contributed Indexing: | Keywords: Anaerobic digestion; Antibiotic resistance genes; Machine learning; Meta-analysis; Microplastics; Mobile genetic elements |
| Substance Nomenclature: | 0 (Microplastics) 0 (Sewage) |
| Entry Date(s): | Date Created: 20260921 Date Completed: 20260929 Latest Revision: 20261005 |
| Update Code: | 20261006 |
| DOI: | 10.1016/j.jenvman.2026.130998 |
| PMID: | 42767154 |
| Βάση Δεδομένων: | MEDLINE |
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