Oehler Josephine B, Burns Kaitlin, Warner Jeffrey, Schmitz Ulf
Computational Biomedicine Lab, College of Science and Engineering, James Cook University, 1 James Cook Drive, Townsville, QLD 4811 Australia.
College of Medicine and Dentistry, James Cook University, Townsville, QLD Australia.
Curr Clin Microbiol Rep. 2025;12(1):10. doi: 10.1007/s40588-025-00247-y. Epub 2025 May 15.
Long-read sequencing (LRS) has revolutionized pathogen surveillance by enabling real-time, high-fidelity genomic analysis critical for outbreak response. This review synthesizes recent breakthroughs in LRS, evaluating its impact on genomic epidemiology, metagenomics, and public health decision-making while addressing limitations and prospects for integrating LRS into global outbreak surveillance.
Unlike short-read sequencing, LRS-pioneered by Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio)-resolves complex genomic structures, antimicrobial resistance determinants, and transmission dynamics with unprecedented accuracy. The portability of some LRS devices has facilitated rapid pathogen identification in field settings, notably during the Ebola and COVID-19 pandemics. Despite advancements in basecalling algorithms and target enrichment, challenges including sequencing errors, computational bottlenecks, and cost barriers remain.
By critically evaluating recent findings and discussing future directions, this review highlights the importance of leveraging LRS for outbreak preparedness and response, equipping researchers and public health professionals with the knowledge necessary to navigate the complexities of modern infectious disease challenges.
长读长测序(LRS)通过实现对疫情应对至关重要的实时、高保真基因组分析,彻底改变了病原体监测。本综述总结了LRS的最新突破,评估了其对基因组流行病学、宏基因组学和公共卫生决策的影响,同时探讨了将LRS整合到全球疫情监测中的局限性和前景。
与短读长测序不同,由牛津纳米孔技术公司(ONT)和太平洋生物科学公司(PacBio)率先开展的LRS以前所未有的准确性解析复杂的基因组结构、抗菌素耐药性决定因素和传播动态。一些LRS设备的便携性促进了在现场环境中快速鉴定病原体,特别是在埃博拉和新冠疫情期间。尽管在碱基识别算法和目标富集方面取得了进展,但包括测序错误、计算瓶颈和成本障碍在内的挑战依然存在。
通过批判性地评估最新发现并讨论未来方向,本综述强调了利用LRS进行疫情防范和应对的重要性,为研究人员和公共卫生专业人员提供应对现代传染病挑战复杂性所需的知识。