Multi-media antibiotics, intracellular and extracellular antibiotic resistance genes in marine protected areas of the South China Sea: Spatiotemporal distribution and multi-factor drivers of dissemination
ID:376
Poster Presentation
2027-01-15 17:00 (China Standard Time)
Session:Session 59 - Emerging Marine Pollution and Ecotoxicology
Abstract
The proliferation of antibiotic resistance in marine ecosystems represents a critical One Health challenge, particularly within coastal habitats that receive anthropogenic inputs. This study presents an integrative, multi‑media assessment of 50 antibiotics alongside intracellular and extracellular antibiotic resistance genes (iARGs and eARGs) across three ecologically significant marine protected areas (MPAs) in the South China Sea. These MPAs are designated as National Aquatic Germplasm Resources Reserves, serving as critical habitats for important species and playing a vital role in regional marine biodiversity conservation. We quantified contaminants across dissolved, suspended particulate, and sedimentary phases during dry and wet seasons. Total antibiotic concentrations were highest in the dry season, ranging 97.60−312.18 ng/L (dissolved), 18.61–34.56 ng/L (particulate), and 27.62–115.48 ng/g dry weight (sediment). Correspondingly, the absolute abundance of iARGs (2.99×106−1.73×108 copies/g) exceeded that of eARGs (2.36×105−4.89×107 copies/g) in the dry season, with both antibiotic and ARG levels elevated relative to the wet season. Variation partitioning analysis revealed that environmental factors (e.g., dissolved oxygen and salinity) and heavy metals (e.g., Hg, Cu, Zn, and Cr) independently explained 47% and 38% of the total variance in ARG profiles, respectively, indicating heavy metals act as important co-selective pressures. Overall, this study highlights the pivotal roles of hydrodynamic conditions and metal co-contamination in shaping the dissemination risk of antibiotic resistance within protected nearshore ecosystems. By demonstrating spatiotemporal patterns and dominant drivers, this work provides a critical evidence base for designing targeted surveillance and mitigation strategies to safeguard ecological health in MPAs facing increasing anthropogenic stress.
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Jan 12–15
2027
XMAS 2027
