Joice Regina, Yasuda Koji, Shafquat Afrah, Morgan Xochitl C, Huttenhower Curtis
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Cell Metab. 2014 Nov 4;20(5):731-741. doi: 10.1016/j.cmet.2014.10.003.
Human-associated microbes are the source of many bioactive microbial products (proteins and metabolites) that play key functions both in human host pathways and in microbe-microbe interactions. Culture-independent studies now provide an accelerated means of exploring novel bioactives in the human microbiome; however, intriguingly, a substantial fraction of the microbial metagenome cannot be mapped to annotated genes or isolate genomes and is thus of unknown function. Meta'omic approaches, including metagenomic sequencing, metatranscriptomics, metabolomics, and integration of multiple assay types, represent an opportunity to efficiently explore this large pool of potential therapeutics. In combination with appropriate follow-up validation, high-throughput culture-independent assays can be combined with computational approaches to identify and characterize novel and biologically interesting microbial products. Here we briefly review the state of microbial product identification and characterization and discuss possible next steps to catalog and leverage the large uncharted fraction of the microbial metagenome.
与人类相关的微生物是许多生物活性微生物产物(蛋白质和代谢物)的来源,这些产物在人类宿主途径以及微生物与微生物的相互作用中发挥着关键作用。如今,不依赖培养的研究为探索人类微生物组中的新型生物活性物质提供了一种加速手段;然而,有趣的是,相当一部分微生物宏基因组无法映射到已注释的基因或分离的基因组,因此其功能未知。元组学方法,包括宏基因组测序、宏转录组学、代谢组学以及多种检测类型的整合,为有效探索这一巨大的潜在治疗药物库提供了契机。结合适当的后续验证,高通量不依赖培养的检测方法可与计算方法相结合,以识别和表征新型且具有生物学意义的微生物产物。在此,我们简要回顾微生物产物鉴定和表征的现状,并讨论对微生物宏基因组中大量未知部分进行编目和利用的可能后续步骤。