Ardigen, Krakow, Poland.
Department of Computational Biophysics and Bioinformatics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
mSphere. 2019 Mar 20;4(2):e00152-19. doi: 10.1128/mSphereDirect.00152-19.
A variety of autoimmune and allergy events are becoming increasingly common, especially in Western countries. Some pieces of research link such conditions with the composition of microbiota during infancy. In this period, the predominant form of nutrition for gut microbiota is oligosaccharides from human milk (HMO). A number of gut-colonizing strains, such as and , are able to utilize HMO, but only some strains have evolved to digest the specific composition of human oligosaccharides. Differences in the proportions of the two genera that are able to utilize HMO have already been associated with the frequency of allergies and autoimmune diseases in the Finnish and the Russian populations. Our results show that differences in terms of the taxonomic annotation do not explain the reason for the differences in the / ratio between the Finnish and the Russian populations. In this paper, we present the results of function-level analysis. Unlike the typical workflow for gene abundance analysis, BiomeScout technology explains the differences in the / ratio. Our research shows the differences in the abundances of the two enzymes that are crucial for the utilization of short type 1 oligosaccharides. Knowing the limitations of taxonomy-based research, there is an emerging need for the development of higher-resolution techniques. The significance of this research is demonstrated by the novel method used for the analysis of function-level metagenomes. BiomeScout-the presented technology-utilizes proprietary algorithms for the detection of differences between functionalities present in metagenomic samples.
各种自身免疫和过敏事件变得越来越普遍,尤其是在西方国家。一些研究将这些情况与婴儿期微生物群的组成联系起来。在此期间,肠道微生物群的主要营养形式是母乳寡糖(HMO)。许多定植于肠道的菌株,如 和 ,能够利用 HMO,但只有一些 菌株进化到能够消化特定的人源寡糖组成。能够利用 HMO 的两种属的比例差异已经与芬兰和俄罗斯人群中过敏和自身免疫性疾病的频率相关。我们的研究结果表明,能够利用 HMO 的两种属的比例差异并不能解释芬兰和俄罗斯人群中 / 比例差异的原因。在本文中,我们展示了功能水平分析的结果。与典型的基因丰度分析工作流程不同,BiomeScout 技术可以解释 / 比例差异的原因。我们的研究表明,两种对利用短型 1 型寡糖至关重要的酶的丰度存在差异。了解基于分类的研究的局限性,因此需要开发更高分辨率的技术。本研究的意义在于,它采用了一种新的方法来分析功能水平宏基因组。BiomeScout——所提出的技术——利用专有的算法来检测宏基因组样本中存在的功能差异。