Sequencing and beyond: integrating molecular 'omics' for microbial community profiling

被引:477
作者
Franzosa, Eric A. [1 ,2 ]
Hsu, Tiffany [1 ,2 ]
Sirota-Madi, Alexandra [2 ,3 ,4 ]
Shafquat, Afrah [1 ]
Abu-Ali, Galeb [1 ]
Morgan, Xochitl C. [1 ,2 ]
Huttenhower, Curtis [1 ,2 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[2] Broad Inst, Cambridge, MA 02142 USA
[3] Massachusetts Gen Hosp, Ctr Computat & Integrat Biol, Boston, MA 02114 USA
[4] Harvard Univ, Sch Med, Boston, MA 02114 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
INTESTINAL MICROBIOTA; GENE-EXPRESSION; METAGENOMIC ANALYSIS; FUNCTION PREDICTION; METABOLIC PATHWAYS; GENOME ANNOTATION; GUT MICROBIOME; DIVERSITY; PROTEIN; CLASSIFICATION;
D O I
10.1038/nrmicro3451
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
High-throughput DNA sequencing has proven invaluable for investigating diverse environmental and host-associated microbial communities. In this Review, we discuss emerging strategies for microbial community analysis that complement and expand traditional metagenomic profiling. These include novel DNA sequencing strategies for identifying strain-level microbial variation and community temporal dynamics; measuring multiple 'omic' data types that better capture community functional activity, such as transcriptomics, proteomics and metabolomics; and combining multiple forms of omic data in an integrated framework. We highlight studies in which the 'multi-omics' approach has led to improved mechanistic models of microbial community structure and function.
引用
收藏
页码:360 / 372
页数:13
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