Ecotoxicology and environmental safety · 2026
Pollution duration drives divergent pathways of antibiotic and metal resistance gene dissemination in coastal mangrove sediments.
СтатьяНазвание и аннотация: Перевод в очереди
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Lin Zhongmei, Huang Jingyu, Chen Si, Liao Junxian, Shang Chenjing, Xu Ying, Jia Runmei, Mai Huaming, Liu Yuping, Lai Xinqi, Chen Huaxin, Chen Huirong, Guo Zhipeng, Chen Jun
Аннотация
Coastal mangrove sediments are critical reservoirs of antibiotic and heavy metal resistance genes (ARGs/HMRGs). Yet, how pollution history shapes their dissemination remains unclear. We elucidated this by comparing sedimentary resistomes across three distinct ecosystems: a pristine site (BH), a site under mid-term copper stress (BHCu), and a chronically multi-polluted site (FT). Chronic multi-pollution generated a persistent co-resistance reservoir, significantly enriching ARGs, HMRGs, mobile genetic elements (MGEs), and transferable ARG-MGE clusters. Bioavailable metal fractions cooperated with MGEs to promote horizontal gene transfer (HGT) and resistome dispersal, despite limited direct ARG-HMRG co-selection, and restructured communities toward MGE-rich, cross-resistant taxa. In contrast, the three-year Cu treatment increased bioavailable Cu and enriched stress-response genes, but showed little MGE enrichment and no significant ARG-HMRG networks; resistance spread depended mainly on vertical selection within tolerant specialist taxa. The pristine site maintained low, stochastic resistance, intrinsic regulation of ARGs/HMRGs, and suppressed MGE activity in a diverse, stable community. Multivariate analyses further showed that host-MGE and duration-metal interactions dominated resistome variation, with metal speciation providing a key mechanistic link. Pollution duration therefore governed resistome architecture: chronic exposure transformed mangroves into resistance hotspots via co-reservoir expansion and HGT-driven dispersal, whereas mid-term Cu stress caused transient disruption without sustained transfer capacity. This "pollution gradient-time scale" paradigm identifies duration as a fundamental but neglected parameter for forecasting environmental resistome risks.