Nafea Aljuboori M, Wang Yuer, Wang Duanyang, Salama Ahmed M, Aziz Manal A, Xu Shan, Tong Yigang
College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
College of Medicine, Department of Microbiology, Ibn Sina University of Medical and Pharmaceutical Science, Baghdad, Iraq.
Front Microbiol. 2024 Jan 29;14:1329330. doi: 10.3389/fmicb.2023.1329330. eCollection 2023.
Early and precise detection and identification of various pathogens are essential for epidemiological monitoring, disease management, and reducing the prevalence of clinical infectious diseases. Traditional pathogen detection techniques, which include mass spectrometry, biochemical tests, molecular testing, and culture-based methods, are limited in application and are time-consuming. Next generation sequencing (NGS) has emerged as an essential technology for identifying pathogens. NGS is a cutting-edge sequencing method with high throughput that can create massive volumes of sequences with a broad application prospects in the field of pathogen identification and diagnosis. In this review, we introduce NGS technology in detail, summarizes the application of NGS in that identification of different pathogens, including bacteria, fungi, and viruses, and analyze the challenges and outlook for using NGS to identify clinical pathogens. Thus, this work provides a theoretical basis for NGS studies and provides evidence to support the application of NGS in distinguishing various clinical pathogens.
早期精确检测和鉴定各种病原体对于流行病学监测、疾病管理以及降低临床传染病的流行率至关重要。传统的病原体检测技术，包括质谱分析、生化测试、分子检测和基于培养的方法，应用有限且耗时。新一代测序（NGS）已成为识别病原体的一项重要技术。NGS是一种具有高通量的前沿测序方法，能够产生大量序列，在病原体识别和诊断领域具有广阔的应用前景。在本综述中，我们详细介绍了NGS技术，总结了NGS在不同病原体（包括细菌、真菌和病毒）识别中的应用，并分析了使用NGS识别临床病原体所面临的挑战和前景。因此，这项工作为NGS研究提供了理论基础，并为支持NGS在区分各种临床病原体中的应用提供了证据。
