The 94th Annual Meeting of Japanese Society for Bacteriology

Presentation information

Workshop

[WS6] Selected from Oral Session: Molecular Microbiology: Genes, Proteins, Signal Transduction, Metabolism, Omics

Wed. Mar 24, 2021 4:00 PM - 6:00 PM Channel 3

Conveners: Daisuke Shiomi (Rikkyo University), Tomomi Kuwahara (Kagawa University)

[WS6-2/ODP-082] Single-cell level analysis of strain-level microbial diversity in human skin microbiome

○Tatsuya Saeki1,2, Koji Arikawa1,2, Takuya Yoda1,2, Taruho Endoh1, Keigo Ide3,4, Masato Kogawa3,4, Haruko Takeyama2,3,4,5, Masahito Hosokawa1,2,5 (1bitBiome, Inc., 2Research Organization for Nano and Life Innovation, Waseda Univ., 3Dept. Life Science and Medical Bioscience, Waseda Univ., 4Computational Bio Big-Data Open Innovation Laboratory, AIST-Waseda Univ., 5Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda Univ.)

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.