Department of Marine Sciences, Ocean College, Zhejiang University, Zhejiang, China.
Zhoushan Municipal Center for Disease Control and Prevention, Zhoushan, Zhejiang, China.
Appl Microbiol Biotechnol. 2017 Jan;101(1):423-435. doi: 10.1007/s00253-016-7910-0. Epub 2016 Oct 12.
With the massive data generated by the Human Microbiome Project, how to transform such data into useful information and knowledge remains challenging. Here, with currently available sequencing information (reference genomes and metagenomes), we have developed a comprehensive microarray, HuMiChip2, for strain-level identification and functional characterization of human microbiomes. HuMiChip2 was composed of 29,467 strain-specific probes targeting 2063 microbial strains/species and 133,924 sequence- and group-specific probes targeting 157 key functional gene families involved in various metabolic pathways and host-microbiome interaction processes. Computational evaluation of strain-specific probes suggested that they were not only specific to mock communities of sequenced microorganisms and metagenomes from different human body sites but also to non-sequenced microbial strains. Experimental evaluation of strain-specific probes using single strains/species and mock communities suggested a high specificity of these probes with their corresponding targets. Application of HuMiChip2 to human gut microbiome samples showed the patient microbiomes of alcoholic liver cirrhosis significantly (p < 0.05) shifted their functional structure from the healthy individuals, and the relative abundance of 21 gene families significantly (p < 0.1) differed between the liver cirrhosis patients and healthy individuals. At the strain level, five Bacteroides strains were significantly (p < 0.1) and more frequently detected in liver cirrhosis patients. These results suggest that the developed HuMiChip2 is a useful microbial ecological microarray for both strain-level identification and functional profiling of human microbiomes.
随着人类微生物组计划产生的大量数据,如何将这些数据转化为有用的信息和知识仍然具有挑战性。在这里,我们利用现有的测序信息(参考基因组和宏基因组),开发了一种全面的微阵列 HuMiChip2,用于人类微生物组的菌株水平鉴定和功能特征分析。HuMiChip2 由 29467 个针对 2063 种微生物菌株/物种的菌株特异性探针和 133924 个针对涉及各种代谢途径和宿主-微生物相互作用过程的 157 个关键功能基因家族的序列和组特异性探针组成。对菌株特异性探针的计算评估表明,它们不仅对测序微生物的模拟群落和来自不同人体部位的宏基因组具有特异性,而且对未测序的微生物菌株也具有特异性。使用单菌株/物种和模拟群落对菌株特异性探针进行的实验评估表明,这些探针与其相应靶标具有很高的特异性。HuMiChip2 应用于人类肠道微生物组样本表明,酒精性肝硬化患者的微生物组功能结构明显(p<0.05)从健康个体发生转变,并且肝硬化患者和健康个体之间 21 个基因家族的相对丰度显著(p<0.1)不同。在菌株水平上,有 5 种拟杆菌属菌株在肝硬化患者中明显(p<0.1)且更频繁地被检测到。这些结果表明,开发的 HuMiChip2 是一种用于人类微生物组的菌株水平鉴定和功能分析的有用的微生物生态学微阵列。