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单个土壤团聚体的单细胞基因组学:方法学评估及以氮代谢为重点的潜在影响

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

植物根际区域的土壤颗粒大多聚集在一起,形成称为团聚体的多孔结构单元,这里栖息着高度多样的微生物,并驱动生物地球化学循环。从土壤中完全提取微生物细胞和DNA是一项艰巨的任务,因为某些微生物对土壤表面表现出强烈的附着力和/或栖息在团聚体内部深处。然而,团聚体的分散程度和提取效率很少被研究,因此,从土壤中提取足够细胞的方法仍不清楚。我们旨在通过关注耕种的强淋溶土表土中的水稳性大团聚体(直径:5.6 - 8.2毫米),开发一种用于单个土壤团聚体单细胞基因组学(SCG)分析的最佳细胞提取方法。我们推测,根据土壤团聚体的分散程度,可以实现对具有不同分类学和功能的微生物的提取。为了验证这一想法,我们使用了六个单独的团聚体,并进行了SCG测序和扩增子分析。虽然与以前的方法相比,珠磨涡旋和超声分散技术都提高了细菌细胞的可提取性,但超声技术导致了更有效的分散,并且比珠磨技术产生了更多数量和更多样化的微生物。此外,对氮循环和胞外多糖相关基因的分析表明,超声辅助提取导致更有效地回收了强烈附着在土壤颗粒上和/或栖息在物理稳定性更高的团聚体亚单元(例如团聚体核心)中的微生物。进一步的SCG分析表明,所有六个团聚体都含有完整的微生物,这些微生物拥有将硝酸盐转化为所有可能氮形式的基因(潜力),而一些低丰度基因表现出团聚体间的异质性。总体而言,所研究的所有六个团聚体在孔隙特征、门水平组成和微生物功能冗余方面都表现出相似性。总之,这些结果表明水稳性大团聚体可能作为土壤中的功能单元,并显示出作为土壤微生物生态学中有用实验单元的潜力。我们的研究还表明,用于提取细胞和DNA的传统方法可能不是最佳的。本研究的结果强调了推进提取方法以促进更全面了解土壤环境中微生物多样性和功能的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/c4d2bb2f8721/fmicb-16-1557188-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc5a/12010503/c4d2bb2f8721/fmicb-16-1557188-g007.jpg

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本文引用的文献

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