Research progress and applications of strain analysis based on metagenomic data.

Author: Yuxiang TAN ¹ ; Han HU ² ; Chenhao LI ³ ; Xiaozhou LUO ¹ ; Yan TAN ² ; Lei DAI ¹
Author Information

1. CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China.
2. Shenzhen Xbiome Biotech Co., Ltd, Shenzhen 518000, Guangdong, China.
3. Genome Institute of Singapore, Singapore 138672.
Publication Type:Review
Keywords: gene diversity; metagenomic; reference genome; single nucleotide polymorphism; strain
MeSH: Algorithms; Computational Biology; Metagenome; Metagenomics; Microbiota/genetics*
From: Chinese Journal of Biotechnology 2020;36(12):2610-2621
CountryChina
Language:Chinese
Abstract: 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.