Yadav Shailendra, Kapley Atya
Director's Research Cell, National Environmental Engineering Research Institute (CSIR-NEERI), Nehru Marg, Nagpur, 440020, India.
Biotechnol Rep (Amst). 2021 Feb 23;29:e00604. doi: 10.1016/j.btre.2021.e00604. eCollection 2021 Mar.
Antibiotic resistance is a global problem which affects human health. The imprudent use of antibiotics (medicine, agriculture, aquaculture, and food industry) has resulted in the broader dissemination of resistance. Urban wastewater & sewage treatment plants act as the hotspot for the widespread of antimicrobial resistance. Natural environment also plays an important role in the dissemination of resistance. Mapping of antibiotic resistance genes (ARGS) in environment is essential for mitigating antimicrobial resistance (AMR) widespread. Therefore, the review article emphasizes on the application of metagenomics for the surveillance of antimicrobial resistance. Metagenomics is the next generation tool which is being used for cataloging the resistome of diverse environments. We summarize the different metagenomic tools that can be used for mining of ARGs and acquired AMR present in the metagenomic data. Also, we recommend application of targeted sequencing/ capture platform for mapping of resistome with higher specificity and selectivity.
抗生素耐药性是一个影响人类健康的全球性问题。抗生素的不当使用（在医学、农业、水产养殖和食品工业中）导致了耐药性的更广泛传播。城市废水和污水处理厂成为抗生素耐药性广泛传播的热点。自然环境在耐药性传播中也起着重要作用。绘制环境中抗生素耐药基因（ARGs）图谱对于减轻抗生素耐药性（AMR）的广泛传播至关重要。因此，这篇综述文章强调宏基因组学在监测抗生素耐药性方面的应用。宏基因组学是用于编目不同环境中耐药基因组的新一代工具。我们总结了可用于挖掘宏基因组数据中存在的ARGs和获得性AMR的不同宏基因组学工具。此外，我们建议应用靶向测序/捕获平台以更高的特异性和选择性绘制耐药基因组图谱。
