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Massively parallel single-cell genomics of microbiomes in rice paddies.
Aoki, Wataru; Kogawa, Masato; Matsuda, Shuhei; Matsubara, Keisuke; Hirata, Shintaro; Nishikawa, Yohei; Hosokawa, Masahito; Takeyama, Haruko; Matoh, Toru; Ueda, Mitsuyoshi.
Afiliação
  • Aoki W; Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.
  • Kogawa M; Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.
  • Matsuda S; WORLD INTEC CO., LTD., Fukuoka, Japan.
  • Matsubara K; Kyoto Agriculture Research Institute KARI, Kyoto, Japan.
  • Hirata S; Kyoto Agriculture Research Institute KARI, Kyoto, Japan.
  • Nishikawa Y; Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.
  • Hosokawa M; Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
  • Takeyama H; Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.
  • Matoh T; Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan.
  • Ueda M; Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.
Front Microbiol ; 13: 1024640, 2022.
Article em En | MEDLINE | ID: mdl-36406415
ABSTRACT
Plant growth-promoting microbes (PGPMs) have attracted increasing attention because they may be useful in increasing crop yield in a low-input and sustainable manner to ensure food security. Previous studies have attempted to understand the principles underlying the rhizosphere ecology and interactions between plants and PGPMs using ribosomal RNA sequencing, metagenomic sequencing, and genome-resolved metagenomics; however, these approaches do not provide comprehensive genomic information for individual species and do not facilitate detailed analyses of plant-microbe interactions. In the present study, we developed a pipeline to analyze the genomic diversity of the rice rhizosphere microbiome at single-cell resolution. We isolated microbial cells from paddy soil and determined their genomic sequences by using massively parallel whole-genome amplification in microfluidic-generated gel capsules. We successfully obtained 3,237 single-amplified genomes in a single experiment, and these genomic sequences provided insights into microbial functions in the paddy ecosystem. Our approach offers a promising platform for gaining novel insights into the roles of microbes in the rice rhizomicrobiome and to develop microbial technologies for improved and sustainable rice production.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article