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Combining metagenomics metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome

机译:结合宏基因组学元转录组学和病毒学探索新型微生物相互作用:对人类微生物组的系统级理解

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摘要

The advances in experimental methods and the development of high performance bioinformatic tools have substantially improved our understanding of microbial communities associated with human niches. Many studies have documented that changes in microbial abundance and composition of the human microbiome is associated with human health and diseased state. The majority of research on human microbiome is typically focused in the analysis of one level of biological information, i.e., metagenomics or metatranscriptomics. In this review, we describe some of the different experimental and bioinformatic strategies applied to analyze the 16S rRNA gene profiling and shotgun sequencing data of the human microbiome. We also discuss how some of the recent insights in the combination of metagenomics, metatranscriptomics and viromics can provide more detailed description on the interactions between microorganisms and viruses in oral and gut microbiomes. Recent studies on viromics have begun to gain importance due to the potential involvement of viruses in microbial dysbiosis. In addition, metatranscriptomic combined with metagenomic analysis have shown that a substantial fraction of microbial transcripts can be differentially regulated relative to their microbial genomic abundances. Thus, understanding the molecular interactions in the microbiome using the combination of metagenomics, metatranscriptomics and viromics is one of the main challenges towards a system level understanding of human microbiome.
机译:实验方法的进步和高性能生物信息学工具的发展,大大提高了我们对与人类生态位相关的微生物群落的了解。许多研究已经证明,人类微生物组的微生物丰度和组成的变化与人类健康和疾病状态有关。关于人类微生物组的大多数研究通常集中于对一级生物学信息即宏基因组学或元转录组学的分析。在这篇综述中,我们描述了一些不同的实验和生物信息学策略,这些策略可用于分析人类微生物组的16S rRNA基因谱和shot弹枪测序数据。我们还讨论了宏基因组学,元转录组学和病毒学的组合中的一些最新见解如何能够提供有关口腔和肠道微生物组中微生物与病毒之间相互作用的更详细描述。由于病毒可能参与了微生物营养不良,因此有关病毒学的最新研究已开始变得越来越重要。此外,元转录组学与宏基因组学分析相结合已表明,相对于其微生物基因组丰度,大部分微生物转录本可以受到差异调节。因此,使用宏基因组学,元转录组学和病毒学相结合来了解微生物组中的分子相互作用是对人类微生物组进行系统级理解的主要挑战之一。

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