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稻田微生物群落的大规模平行单细胞基因组学

Massively parallel single-cell genomics of microbiomes in rice paddies.

作者信息

Aoki Wataru, Kogawa Masato, Matsuda Shuhei, Matsubara Keisuke, Hirata Shintaro, Nishikawa Yohei, Hosokawa Masahito, Takeyama Haruko, Matoh Toru, Ueda Mitsuyoshi

机构信息

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto, Japan.

Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.

出版信息

Front Microbiol. 2022 Nov 3;13:1024640. doi: 10.3389/fmicb.2022.1024640. eCollection 2022.


DOI:10.3389/fmicb.2022.1024640
PMID:36406415
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9669790/
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.

摘要

促进植物生长的微生物(PGPMs)已引起越来越多的关注,因为它们可能有助于以低投入和可持续的方式提高作物产量,以确保粮食安全。以前的研究试图利用核糖体RNA测序、宏基因组测序和基因组解析宏基因组学来理解根际生态学以及植物与PGPMs之间相互作用的潜在原理;然而,这些方法无法为单个物种提供全面的基因组信息,也不利于对植物-微生物相互作用进行详细分析。在本研究中,我们开发了一种流程,以单细胞分辨率分析水稻根际微生物组的基因组多样性。我们从稻田土壤中分离出微生物细胞,并通过在微流控生成的凝胶胶囊中使用大规模平行全基因组扩增来确定它们的基因组序列。我们在一次实验中成功获得了3237个单扩增基因组,这些基因组序列为稻田生态系统中的微生物功能提供了见解。我们的方法为深入了解微生物在水稻根际微生物组中的作用以及开发用于改良和可持续水稻生产的微生物技术提供了一个有前景的平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/089dad14cf45/fmicb-13-1024640-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/1a7f7cfeffdc/fmicb-13-1024640-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/da270b7857e9/fmicb-13-1024640-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/4aa41cc67101/fmicb-13-1024640-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/089dad14cf45/fmicb-13-1024640-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/1a7f7cfeffdc/fmicb-13-1024640-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/da270b7857e9/fmicb-13-1024640-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/4aa41cc67101/fmicb-13-1024640-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0a/9669790/089dad14cf45/fmicb-13-1024640-g004.jpg

相似文献

[1]
Massively parallel single-cell genomics of microbiomes in rice paddies.

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[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
GenomeFISH: genome-based fluorescence in situ hybridization for strain-level visualization of microbial communities.

ISME J. 2025-1-2

[2]
Single-cell genomics of single soil aggregates: methodological assessment and potential implications with a focus on nitrogen metabolism.

Front Microbiol. 2025-4-7

[3]
Genomic profiling of Antarctic geothermal microbiomes using long-read, Hi-C, and single-cell techniques.

Sci Data. 2024-9-19

[4]
Tools for microbial single-cell genomics for obtaining uncultured microbial genomes.

Biophys Rev. 2023-9-8

[5]
Uncultured prokaryotic genomes in the spotlight: An examination of publicly available data from metagenomics and single-cell genomics.

Comput Struct Biotechnol J. 2023-9-12

本文引用的文献

[1]
Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater.

ISME Commun. 2022-9-29

[2]
Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral.

Microbiome. 2022-12-12

[3]
Strain-level profiling of viable microbial community by selective single-cell genome sequencing.

Sci Rep. 2022-3-15

[4]
Recovery of strain-resolved genomes from human microbiome through an integration framework of single-cell genomics and metagenomics.

Microbiome. 2021-10-12

[5]
Rhizosphere-Associated Microbiomes of Rice ( L.) Under the Effect of Increased Nitrogen Fertilization.

Front Microbiol. 2021-9-21

[6]
Genome-resolved metagenomics reveals role of iron metabolism in drought-induced rhizosphere microbiome dynamics.

Nat Commun. 2021-5-28

[7]
Improving metagenomic binning results with overlapped bins using assembly graphs.

Algorithms Mol Biol. 2021-5-4

[8]
Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation.

Nucleic Acids Res. 2021-7-2

[9]
Coexistence patterns of soil methanogens are closely tied to methane generation and community assembly in rice paddies.

Microbiome. 2021-1-22

[10]
High-Quality Draft Single-Cell Genome Sequences of Two Strains Sampled from Soil in a Strawberry Farm.

Microbiol Resour Announc. 2020-8-27

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