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

作者信息

Matsumura Emi, Kato Hiromi, Hara Shintaro, Ohbayashi Tsubasa, Ito Koji, Shingubara Ryo, Kawakami Tomoya, Mitsunobu Satoshi, Saeki Tatsuya, Tsuda Soichiro, Minamisawa Kiwamu, Wagai Rota

机构信息

Institute for Agro-Environmental Sciences (NIAES), National Agriculture and Food Research Organization (NARO), Tsukuba, Japan.

Graduate School of Life Science, Tohoku University, Sendai, Japan.

出版信息

Front Microbiol. 2025 Apr 7;16:1557188. doi: 10.3389/fmicb.2025.1557188. eCollection 2025.


DOI:10.3389/fmicb.2025.1557188
PMID:40260087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12010503/
Abstract

Soil particles in plant rooting zones are largely clustered to form porous structural units called aggregates where highly diverse microorganisms inhabit and drive biogeochemical cycling. The complete extraction of microbial cells and DNA from soil is a substantial task as certain microorganisms exhibit strong adhesion to soil surfaces and/or inhabit deep within aggregates. However, the degree of aggregate dispersion and the efficacy of extraction have rarely been examined, and thus, adequate cell extraction methods from soil remain unclear. We aimed to develop an optimal method of cell extraction for single-cell genomics (SCG) analysis of single soil aggregates by focusing on water-stable macroaggregates (diameter: 5.6-8.2 mm) from the topsoil of cultivated Acrisol. We postulated that the extraction of microorganisms with distinct taxonomy and functions could be achieved depending on the degree of soil aggregate dispersion. To test this idea, we used six individual aggregates and performed both SCG sequencing and amplicon analysis. While both bead-vortexing and sonication dispersion techniques improved the extractability of bacterial cells compared to previous ones, the sonication technique led to more efficient dispersion and yielded a higher number and more diverse microorganisms than the bead technique. Furthermore, the analyses of nitrogen cycling and exopolysaccharides-related genes suggested that the sonication-assisted extraction led to the greater recovery of microorganisms strongly attached to soil particles and/or inhabited the aggregate subunits that were more physically stable (e.g., aggregate core). Further SCG analysis revealed that all six aggregates held intact microorganisms holding the genes (potentials) to convert nitrate into all possible nitrogen forms while some low-abundance genes showed inter-aggregate heterogeneity. Overall, all six aggregates studied showed similarities in pore characteristics, phylum-level composition, and microbial functional redundancy. Together, these results suggest that water-stable macroaggregates may act as a functional unit in soil and show potential as a useful experimental unit in soil microbial ecology. Our study also suggests that conventional methods employed for the extraction of cells and DNA may not be optimal. The findings of this study emphasize the necessity of advancing extraction methodologies to facilitate a more comprehensive understanding of microbial diversity and function in soil environments.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/c4d2bb2f8721/fmicb-16-1557188-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/29a8a10fb0ac/fmicb-16-1557188-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/a564195f6ef7/fmicb-16-1557188-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/a4f47e14e7a5/fmicb-16-1557188-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/f2ca6ebd76df/fmicb-16-1557188-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/07f66e66f8e0/fmicb-16-1557188-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/f93c5b175897/fmicb-16-1557188-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/c4d2bb2f8721/fmicb-16-1557188-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/29a8a10fb0ac/fmicb-16-1557188-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/a564195f6ef7/fmicb-16-1557188-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/a4f47e14e7a5/fmicb-16-1557188-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/f2ca6ebd76df/fmicb-16-1557188-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/07f66e66f8e0/fmicb-16-1557188-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/f93c5b175897/fmicb-16-1557188-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/c4d2bb2f8721/fmicb-16-1557188-g007.jpg

相似文献

[1]
Single-cell genomics of single soil aggregates: methodological assessment and potential implications with a focus on nitrogen metabolism.

Front Microbiol. 2025-4-7

[2]
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[3]
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[4]
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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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Environ Microbiol. 2021-2

本文引用的文献

[1]
Does Rhizobial Inoculation Change the Microbial Community in Field Soils? A‍ ‍Comparison with Agricultural Land-use Changes.

Microbes Environ. 2024

[2]
Distinct microbial communities are linked to organic matter properties in millimetre-sized soil aggregates.

ISME J. 2024-1-8

[3]
Metagenomic clustering links specific metabolic functions to globally relevant ecosystems.

mSystems. 2024-8-20

[4]
Synergistic effects of plant genotype and soil microbiome on growth in Lotus japonicus.

FEMS Microbiol Ecol. 2024-4-10

[5]
Validation of the application of gel beads-based single-cell genome sequencing platform to soil and seawater.

ISME Commun. 2022-9-29

[6]
Unexpected absence of ribosomal protein genes from metagenome-assembled genomes.

ISME Commun. 2022-11-28

[7]
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

[8]
Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral.

Microbiome. 2022-12-12

[9]
Massively parallel single-cell genomics of microbiomes in rice paddies.

Front Microbiol. 2022-11-3

[10]
GTDB-Tk v2: memory friendly classification with the genome taxonomy database.

Bioinformatics. 2022-11-30

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