Soil Aggregate Microbial Communities: Towards Understanding Microbiome Interactions at Biologically Relevant Scales

生物地球化学循环 土壤水分 环境科学 微生物种群生物学 营养循环 土壤生态学 土壤有机质 生态学 生态系统 生物地球化学 土壤生物学 时间尺度 地球科学 土壤科学 生物 土壤生物多样性 地质学 遗传学 细菌
作者
Regina L. Wilpiszeski,Jayde A. Aufrecht,Scott T. Retterer,Matthew B. Sullivan,David E. Graham,Eric M. Pierce,Olivier Zablocki,Anthony V. Palumbo,Dwayne A. Elias
出处
期刊:Applied and Environmental Microbiology [American Society for Microbiology]
卷期号:85 (14) 被引量:261
标识
DOI:10.1128/aem.00324-19
摘要

Soils contain a tangle of minerals, water, nutrients, gases, plant roots, decaying organic matter, and microorganisms which work together to cycle nutrients and support terrestrial plant growth. Most soil microorganisms live in periodically interconnected communities closely associated with soil aggregates, i.e., small (<2 mm), strongly bound clusters of minerals and organic carbon that persist through mechanical disruptions and wetting events. Their spatial structure is important for biogeochemical cycling, and we cannot reliably predict soil biological activities and variability by studying bulk soils alone. To fully understand the biogeochemical processes at work in soils, it is necessary to understand the micrometer-scale interactions that occur between soil particles and their microbial inhabitants. Here, we review the current state of knowledge regarding soil aggregate microbial communities and identify areas of opportunity to study soil ecosystems at a scale relevant to individual cells. We present a framework for understanding aggregate communities as "microbial villages" that are periodically connected through wetting events, allowing for the transfer of genetic material, metabolites, and viruses. We describe both top-down (whole community) and bottom-up (reductionist) strategies for studying these communities. Understanding this requires combining "model system" approaches (e.g., developing mock community artificial aggregates), field observations of natural communities, and broader study of community interactions to include understudied community members, like viruses. Initial studies suggest that aggregate-based approaches are a critical next step for developing a predictive understanding of how geochemical and community interactions govern microbial community structure and nutrient cycling in soil.
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