Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.
Sequencing and beyond: integrating molecular 'omics' for microbial community profiling.
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DOI：
10.1038/nrmicro3451
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Huttenhower C
中科院分区：
文献类型：
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作者：
Franzosa EA;Hsu T;Sirota-Madi A;Shafquat A;Abu-Ali G;Morgan XC;Huttenhower C
高通量DNA测序已被证明是非常宝贵的调查不同的环境和主机相关的微生物群落。在这篇综述中，我们讨论了新兴的微生物群落分析策略，补充和扩展传统的宏基因组分析。这些包括用于鉴定菌株水平微生物变异和群落时间动态的新型DNA测序策略;测量更好地捕获群落功能活性的额外的多组学数据类型，例如转录组学、蛋白质组学和代谢组学;以及将多种形式的多组学数据组合在一个集成框架中。我们强调多组学方法导致微生物群落结构和功能的改进机制模型的研究。
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 additional multi'omic data types that better capture community functional activity, such as transcriptomics, proteomics, and metabolomics; and combining multiple forms of multi'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.