Schanche Melissa, Avershina Ekaterina, Dotterud Christian, Øien Torbjørn, Storrø Ola, Johnsen Roar, Rudi Knut
Department of Chemistry, Biotechnology and Food Science, University of Life Sciences, Ås, Norway.
Curr Microbiol. 2015 Aug;71(2):283-90. doi: 10.1007/s00284-015-0843-5. Epub 2015 Jun 5.
Understanding the transmission of the human microbiota from mother to child is of major importance. Although we are gaining knowledge using 16S rRNA gene analyses, the resolution of this gene is not sufficient to determine transmission patterns. We therefore developed an Illumina deep sequencing approach targeting the 16-23S rRNA Internal Transcribed Spacer (ITS) for high-resolution microbiota analyses. Using this approach, we analyzed the composition and potential mother to child transmission patterns of the microbiota (milk and stool) in a longitudinal cohort of 20 mother/child pairs. Our results show overlap in the infant stool microbiota with both mother's milk and stool, and that the overlap with stool increases with age. We found an Operational Taxonomic Unit resembling Streptococcus gordonii as the most widespread colonizer of both mothers and their children. In conclusion, the increased resolution of 16-23S rRNA ITS deep sequencing revealed new knowledge about potential transmission patterns of human-associated bacteria.
了解人类微生物群从母亲到孩子的传播至关重要。尽管我们通过16S rRNA基因分析获得了相关知识，但该基因的分辨率不足以确定传播模式。因此，我们开发了一种针对16 - 23S rRNA内部转录间隔区（ITS）的Illumina深度测序方法，用于高分辨率微生物群分析。使用这种方法，我们在一个由20对母婴组成的纵向队列中分析了微生物群（乳汁和粪便）的组成以及潜在的母婴传播模式。我们的结果表明，婴儿粪便微生物群与母亲的乳汁和粪便都存在重叠，并且与粪便的重叠随着年龄增长而增加。我们发现一个类似于戈登链球菌的操作分类单元是母亲及其孩子中分布最广泛的定植菌。总之，16 - 23S rRNA ITS深度测序分辨率的提高揭示了有关人类相关细菌潜在传播模式的新知识。
