2024/09/29 更新

写真a

サカナシ チカコ
坂梨 千佳子
所属
研究院(研究機関) ナノ・ライフ創新研究機構
職名
研究助手
学位
学士

研究分野

  • その他
 

論文

  • Massively parallel single-cell genome sequencing enables high-resolution analysis of soil and marine microbiome

    Yohei Nishikawa, Masato Kogawa, Masahito Hosokawa, Katsuhiko Mineta, Kai Takahashi, Chikako Sakanashi, Hayedeh Behzad, Takashi Gojobori, Haruko Takeyama

       2020年03月

     概要を見る

    <title>Abstract</title>To improve our understanding of the environmental microbiome, we developed a single-cell genome sequencing platform, named SAG-gel, which utilizes gel beads for single-cell isolation, cell lysis, and whole genome amplification (WGA) for sequencing. SAG-gel enables serial, parallel and independent reactions of &gt; 100,000 single cells in a single tube, delivering high-quality genome recovery with storable randomized single-cell genome libraries. From soil and marine environmental sources, we acquired 734 partial genomes that are recapitulated in 231 species, 35% of which were assigned as high-to-medium qualities. We found that each genome to be almost unique and 98.7% of them were newly identified, implying the complex genetic diversities across 44 phyla. The various metabolic capabilities including virulence factors and biosynthetic gene clusters were found across the lineages at single-cell resolution. This technology will accelerate the accumulation of reference genomes of uncharacterized environmental microbes and provide us new insights for their roles.

    DOI

  • Single-cell genomics of uncultured bacteria reveals dietary fiber responders in the mouse gut microbiota.

    Rieka Chijiiwa, Masahito Hosokawa, Masato Kogawa, Yohei Nishikawa, Keigo Ide, Chikako Sakanashi, Kai Takahashi, Haruko Takeyama

    Microbiome   8 ( 1 ) 5 - 5  2020年01月  [査読有り]  [国際誌]

     概要を見る

    BACKGROUND: The gut microbiota can have dramatic effects on host metabolism; however, current genomic strategies for uncultured bacteria have several limitations that hinder their ability to identify responders to metabolic changes in the microbiota. In this study, we describe a novel single-cell genomic sequencing technique that can identify metabolic responders at the species level without the need for reference genomes, and apply this method to identify bacterial responders to an inulin-based diet in the mouse gut microbiota. RESULTS: Inulin-feeding changed the mouse fecal microbiome composition to increase Bacteroides spp., resulting in the production of abundant succinate in the mouse intestine. Using our massively parallel single-cell genome sequencing technique, named SAG-gel platform, we obtained 346 single-amplified genomes (SAGs) from mouse gut microbes before and after dietary inulin supplementation. After quality control, the SAGs were classified as 267 bacteria, spanning 2 phyla, 4 classes, 7 orders, and 14 families, and 31 different strains of SAGs were graded as high- and medium-quality draft genomes. From these, we have successfully obtained the genomes of the dominant inulin-responders, Bacteroides spp., and identified their polysaccharide utilization loci and their specific metabolic pathways for succinate production. CONCLUSIONS: Our single-cell genomics approach generated a massive amount of SAGs, enabling a functional analysis of uncultured bacteria in the intestinal microbiome. This enabled us to estimate metabolic lineages involved in the bacterial fermentation of dietary fiber and metabolic outcomes such as short-chain fatty acid production in the intestinal environment based on the fibers ingested. The technique allows the in-depth isolation and characterization of uncultured bacteria with specific functions in the microbiota and could be exploited to improve human and animal health. Video abstract.

    DOI PubMed

    Scopus

    89
    被引用数
    (Scopus)
  • Effective microtissue RNA extraction coupled with Smart-seq2 for reproducible and robust spatial transcriptome analysis

      10 ( 1 ) 7083 - 7083  2020年  [国際誌]

    DOI PubMed

    Scopus

    15
    被引用数
    (Scopus)
  • 多様なサンプルをRNA-seqに提供する微小生体試料の自動調製システム

    高橋 清文, 松永 浩子, 有川 浩司, 坂梨 千佳子, 依田 卓也, 細川 正人, 神原 秀記, 竹山 春子

    生命科学系学会合同年次大会   2017年度   [3P - 1355]  2017年12月

  • Site-specific gene expression analysis using an automated tissue micro-dissection punching system

       2017年12月