Barrantes-Jiménez Kenia, Mendoza-Guido Bradd, Morales-Mora Eric, Rivera-Montero Luis, Montiel-Mora José, Chacón-Jiménez Luz, Rojas-Jiménez Keilor, Arias-Andrés María
Doctorado en Ciencias Naturales para el Desarrollo (DOCINADE), Instituto Tecnológico de Costa Rica, Universidad Nacional and Universidad Estatal a Distancia, San José P.O. Box 11501-2060, Costa Rica.
Health Research Institute, University of Costa Rica, San José P.O. Box 11501-2060, Costa Rica.
Antibiotics (Basel). 2025 Aug 5;14(8):798. doi: 10.3390/antibiotics14080798.
BACKGROUND/OBJECTIVES: This study examines how seasonality, pollution, and sample type (water and sediment) influence the presence and distribution of antibiotic resistance genes (ARGs), with a focus on antibiotic resistance genes (ARGs) located on plasmids (the complete set of plasmid-derived sequences, including ARGs) in a tropical urban river.
Samples were collected from three sites along a pollution gradient in the Virilla River, Costa Rica, during three seasonal campaigns (wet 2021, dry 2022, and wet 2022). ARGs in water and sediment were quantified by qPCR, and metagenomic sequencing was applied to analyze chromosomal and plasmid-associated resistance profiles in sediments. Tobit and linear regression models, along with multivariate ordination, were used to assess spatial and seasonal trends.
During the wet season of 2021, the abundance of antibiotic resistance genes (ARGs) such as , , and in water samples decreased significantly, likely due to dilution, while and increased in sediments, suggesting particle-bound accumulation. In the wet season 2022, remained low in water, increased, and sediments showed significant increases in , , and , along with decreases in and . Metagenomic analysis revealed spatial differences in plasmid-associated ARGs, with the highest abundance at the most polluted site (Site 3). Bacterial taxa also showed spatial differences, with greater plasmidome diversity and a higher representation of potential pathogens in the most contaminated site.
Seasonality and pollution gradients jointly shape ARG dynamics in this tropical river. Plasmid-mediated resistance responds rapidly to environmental change and is enriched at polluted sites, while sediments serve as long-term reservoirs. These findings support the use of plasmid-based monitoring for antimicrobial resistance surveillance in aquatic systems.
背景/目的:本研究考察季节性、污染和样本类型(水和沉积物)如何影响抗生素抗性基因(ARGs)的存在与分布,重点关注热带城市河流中位于质粒上的抗生素抗性基因(ARGs)(质粒衍生序列的完整集合,包括ARGs)。
在哥斯达黎加维里利亚河沿污染梯度的三个地点,于三个季节活动期间(2021年雨季、2022年旱季和2022年雨季)采集样本。通过定量聚合酶链反应(qPCR)对水和沉积物中的ARGs进行定量,并应用宏基因组测序分析沉积物中染色体和质粒相关的抗性谱。使用托比特模型和线性回归模型以及多元排序来评估空间和季节趋势。
在2021年雨季,水样中诸如 、 和 等抗生素抗性基因(ARGs)的丰度显著下降,可能是由于稀释作用,而沉积物中的 和 增加,表明存在颗粒结合积累。在2022年雨季,水中的 仍然较低, 增加,沉积物中 、 和 显著增加,同时 和 减少。宏基因组分析揭示了质粒相关ARGs的空间差异,在污染最严重的地点(站点3)丰度最高。细菌分类群也表现出空间差异,在污染最严重的地点,质粒组多样性更大,潜在病原体的代表性更高。
季节性和污染梯度共同塑造了这条热带河流中ARGs的动态。质粒介导的抗性对环境变化反应迅速,在污染地点富集,而沉积物则作为长期储存库。这些发现支持在水生系统中使用基于质粒的监测来进行抗菌药物耐药性监测。