[ODP4G] g. 各種オミクス・バイオインフォマティクス

[ODP-082/WS6-2] ヒト皮膚常在細菌における種内多様性のシングルセル解析

○佐伯 達也^1,2，有川 浩司^1,2，依田 卓也^1,2，遠藤 垂穂¹，井手 圭吾^3,4，小川 雅人^3,4，竹山 春子^2,3,4,5，細川 正人^1,2,5 (¹bitBiome（株），²早大・ナノライフ創新研，³早大院・先進理工，⁴産総研・CBBD-OIL，⁵ 早大・理工総研)

Human skin is colonized by a diverse microbial community. Recent studies have provided insights into their strain-level diversity associated with host skin health and diseases. These studies are conventionally conducted with culture-based microbial genome sequencing to recover whole-genome sequences of bacterial strains, limiting sample size and problems of cultivation bias. Although shotgun metagenomic sequencing is widely used to study uncultured microbes, it is difficult to reconstruct strain-level genomes from a complex mixture of fragmented genomic sequences.In this study, we applied the platform for single-cell genome sequencing of microbes, SAG-gel (Chijiiwa et al. 2020 Microbiome) or bit-MAP^®, to the human skin microbiome. Samples were collected by swabbing from the facial surfaces of healthy volunteers. Using bit-MAP^®, we obtained over 700 single-amplified genomes (SAGs) of single bacterial cells collected from 8 healthy males and females. From these, we have successfully obtained draft genome sequences of multiple strains of skin microbes. This enabled us to analyze the strain-level diversity of skin microbiome among individuals.Our bit-MAP^® generates a massive amount of SAGs without cultivation and enables strain-level analysis of skin microbiome. Such genomic data can accelerate the microbiome research for novel diagnostic and therapeutic approaches to skin disease.