基于宏基因组数据的菌株分析方法及其应用

Research progress and applications of strain analysis based on metagenomic data

菌株是微生物研究中最基础的生命实体,其功能多样性对宿主表型有着重要影响。随着微生物组研究的深入,对复杂微生物群落进行菌株水平的构成分析和功能分析,在基础科研、临床应用等方面都有重要的价值。文中介绍了基于宏基因组数据的菌株分析的主流算法,以及菌株分析在微生物组研究中的潜在应用和未来的发展方向。

Strain is the fundamental unit in microbial taxonomy.The functional diversity among strains has great influence on host phenotypes.With the development of microbiome research,knowing the composition and functional capacities of complex microbial communities at the strain level has become increasingly valuable in scientific research and clinical applications.This review introduces the principles of bioinformatics algorithms for strain analysis based on metagenomic data,the applications in microbiome research and directions of future development.