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Nat Rev Microbiol. 2015 Jun;13(6):360-72. doi: 10.1038/nrmicro3451. Epub 2015 Apr 27.

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

Author information

1
1] Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] The Broad Institute, Cambridge, Massachusetts 02142, USA.
2
1] The Broad Institute, Cambridge, Massachusetts 02142, USA. [2] Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
3
Biostatistics Department, Harvard School of Public Health, Boston, Massachusetts 02115, USA.

Abstract

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.

PMID:
25915636
PMCID:
PMC4800835
DOI:
10.1038/nrmicro3451
[Indexed for MEDLINE]
Free PMC Article

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