Department of Microbiology, Ram Lal Anand College, University of Delhi, South Campus, New Delhi, 110021, India.
Department of Microbiology, Ram Lal Anand College, University of Delhi, South Campus, New Delhi, 110021, India.
J Environ Manage. 2024 Oct;369:122342. doi: 10.1016/j.jenvman.2024.122342. Epub 2024 Sep 3.
Antimicrobial resistance (AMR) is a significant threat that demands surveillance to identify and analyze trends of the emerging antibiotic resistance genes (ARGs) and potential microbial carriers. The influent of the wastewater treatment plants (WWTPs) reflects the microbes derived from the population and effluent being the source of dissemination of potential pathogenic microbes and AMR. The present study aimed to monitor microbial communities and antibiotic resistance genes in WWTPs employing a whole metagenome shotgun sequencing approach. The samples were collected from a sewage treatment plant (STP) and a common effluent treatment plant (CETP) in Delhi, India. The results showed the influent of STP to be rich in Bifidobacterium, Bacteroides, Escherichia, Arcobacter, and Pseudomonas residents of gut microbiota and known to cause diseases in humans and animals; whereas the CETP sample was abundant in Aeromonas, Escherichia, and Shewanella known to be involved in the degradation of different compounds. Interestingly, the effluent samples from both STPs and CETP were rich in microbial diversity, comprising organic and xenobiotic compound degrading and disease-causing bacteria, indicating the effluent being the source of dissemination of concerning bacteria to the environment. The functional profile at both sites displayed similarity with an abundance of housekeeping function genes as analyzed by Clusters of Orthologous Genes (COG), KEGG Orthology (KO), and subsystem databases. Resistome profiling by MEGARes showed the dominance of ARGs corresponding to beta-lactams having relative abundance ranging from 16% to 34% in all the metagenome datasets, followed by tetracycline (8%-16%), aminoglycosides (7%-9%), multi-drug (5%-9%), and rifampin (3%-9%). Also, AMR genes oxa, ant3-DPRIME, and rpoB, which are of clinical importance were predominantly and most prevalently present in all the samples. The presence of AMR in effluents from both types of treatment plants indicates that wastewater from both sources contributes to the spread of pathogenic bacteria and resistance genes, increasing the environmental AMR burden and therefore requires tertiary treatment before discharge. This work will facilitate further research towards the identification of suitable biomarkers for monitoring antibiotic resistance.
抗生素耐药性(AMR)是一个重大威胁,需要进行监测以识别和分析新兴抗生素耐药基因(ARGs)和潜在微生物携带者的趋势。废水处理厂(WWTP)的进水反映了来自人口的微生物,而出水则是潜在致病微生物和 AMR 传播的源头。本研究旨在采用全宏基因组鸟枪法测序方法监测 WWTP 中的微生物群落和抗生素耐药基因。样品取自印度德里的一个污水处理厂(STP)和一个普通污水处理厂(CETP)。结果表明,STP 的进水富含双歧杆菌、拟杆菌、大肠杆菌、弯曲杆菌和假单胞菌,这些都是肠道微生物群的居民,已知会导致人类和动物患病;而 CETP 样品中富含气单胞菌、大肠杆菌和希瓦氏菌,这些菌已知参与了不同化合物的降解。有趣的是,来自 STP 和 CETP 的出水样品都富含微生物多样性,包括有机和外源性化合物降解和致病细菌,表明出水是将有关细菌传播到环境中的源头。两个地点的功能谱显示出与通过同源基因簇(COG)、KEGG 直系同源物(KO)和子系统数据库分析的丰度较高的管家功能基因相似。通过 MEGARes 进行的抗性组谱分析显示,β-内酰胺类抗生素的耐药基因占主导地位,在所有宏基因组数据集中的相对丰度范围为 16%-34%,其次是四环素(8%-16%)、氨基糖苷类(7%-9%)、多药(5%-9%)和利福平(3%-9%)。此外,oxa、ant3-DPRIME 和 rpoB 等具有临床重要性的 AMR 基因在所有样品中均占主导地位,且最普遍存在。两种类型的处理厂的废水均存在 AMR,表明来自这两种来源的废水均有助于传播致病菌和耐药基因,增加了环境中的 AMR 负担,因此在排放前需要进行三级处理。这项工作将有助于进一步研究,以确定用于监测抗生素耐药性的合适生物标志物。