Program in Applied Biological Sciences, Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok 10210, Thailand.
Research Laboratory of Biotechnology, Chulabhorn Research Institute, Bangkok 10210, Thailand.
Sci Total Environ. 2024 Jan 15;908:167867. doi: 10.1016/j.scitotenv.2023.167867. Epub 2023 Oct 23.
The global challenge posed by rising antimicrobial resistance, and the adoption of a One Health approach, has led to the prioritisation of surveillance for antibiotic resistance genes (ARGs) in various environments. Herein lies an information gap, particularly in the context of Thailand, where there is scarce data on ARG prevalence across diverse environmental matrices and throughout different seasons. This study aimed to fill this void, analysing ARG prevalence by high-throughput qPCR in influent (n = 12) and effluent wastewater (n = 12) and river water (n = 12). The study reveals a substantial and largely uniform presence of ARGs across all water sample types (87 % similarity). Intriguingly, no ARGs were exclusive to specific water types, indicating an extensive circulation of resistance determinants across the aquatic environment. The genes intI1, tnpA, and intI3, part of the integrons and mobile genetic elements group, were detected in high relative abundance in both wastewater and river water samples, suggesting widespread pollution of rivers with wastewater. Additional high-prevalence ARGs across all water types included qepA, aadA2, merA, sul1, qacF/H, sul2, aadB, and ereA. More alarmingly, several ARGs (e.g., bla, intI3, mcr-1, mexB, qepA, vanA, and vanB) showed higher relative abundance in effluent and river water than in influents, which suggests malfunctioning or inadequate wastewater treatment works and implicates this as a possible mechanism for environmental contamination. Nine genes (i.e., bla, bla, emrD, ermX, intI1, mphA, qepA, vanA, and vanB) were recovered in greater relative abundance during the dry season in river water samples as compared to the wet season, suggesting there are seasonal impacts on the efficacy of wastewater treatment practices and pollution patterns into receiving waters. This study highlights the urgency for more effective measures to reduce antibiotic resistance dissemination in water systems.
抗生素耐药性日益上升所带来的全球性挑战,以及采用“同一健康”方法,促使人们优先对各种环境中的抗生素耐药基因 (ARGs) 进行监测。这方面存在信息空白,特别是在泰国,关于不同环境基质和不同季节的 ARG 流行情况的数据很少。本研究旨在填补这一空白,通过高通量 qPCR 分析进水(n=12)、出水(n=12)和河水(n=12)中 ARG 的流行情况。研究表明,所有水样类型的 ARG 存在大量且基本一致(相似度为 87%)。有趣的是,没有任何 ARG 是特定水样类型所特有的,这表明耐药决定因素在水生态环境中广泛传播。基因 intI1、tnpA 和 intI3 是整合子和移动遗传元件组的一部分,在废水和河水样本中均以高相对丰度检出,表明河流受到废水的广泛污染。所有水样类型中还存在其他高流行 ARG,包括 qepA、aadA2、merA、sul1、qacF/H、sul2、aadB 和 ereA。更令人担忧的是,一些 ARG(如 bla、intI3、mcr-1、mexB、qepA、vanA 和 vanB)在出水中的相对丰度高于进水,这表明废水处理厂出现故障或处理不充分,这可能是环境污染的一个潜在机制。与雨季相比,9 个基因(bla、bla、emrD、ermX、intI1、mphA、qepA、vanA 和 vanB)在旱季的河水样本中丰度更高,这表明废水处理实践和污染模式对受纳水体的有效性存在季节性影响。本研究强调需要采取更有效的措施来减少抗生素耐药性在水系统中的传播。