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Distinct Soil Bacterial Communities Revealed under a Diversely Managed Agroecosystem

机译:在多样化管理的农业生态系统下揭示不同的土壤细菌群落

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摘要

Land-use change and management practices are normally enacted to manipulate environments to improve conditions that relate to production, remediation, and accommodation. However, their effect on the soil microbial community and their subsequent influence on soil function is still difficult to quantify. Recent applications of molecular techniques to soil biology, especially the use of 16S rRNA, are helping to bridge this gap. In this study, the influence of three land-use systems within a demonstration farm were evaluated with a view to further understand how these practices may impact observed soil bacterial communities. Replicate soil samples collected from the three land-use systems (grazed pine forest, cultivated crop, and grazed pasture) on a single soil type. High throughput 16S rRNA gene pyrosequencing was used to generate sequence datasets. The different land use systems showed distinction in the structure of their bacterial communities with respect to the differences detected in cluster analysis as well as diversity indices. Specific taxa, particularly Actinobacteria, Acidobacteria, and classes of Proteobacteria, showed significant shifts across the land-use strata. Families belonging to these taxa broke with notions of copio- and oligotrphy at the class level, as many of the less abundant groups of families of Actinobacteria showed a propensity for soil environments with reduced carbon/nutrient availability. Orders Actinomycetales and Solirubrobacterales showed their highest abundance in the heavily disturbed cultivated system despite the lowest soil organic carbon (SOC) values across the site. Selected soil properties ([SOC], total nitrogen [TN], soil texture, phosphodiesterase [PD], alkaline phosphatase [APA], acid phosphatase [ACP] activity, and pH) also differed significantly across land-use regimes, with SOM, PD, and pH showing variation consistent with shifts in community structure and composition. These results suggest that use of pyrosequencing along with traditional analysis of soil physiochemical properties may provide insight into the ecology of descending taxonomic groups in bacterial communities.
机译:通常颁布土地用途变更和管理惯例来操纵环境,以改善与生产,修复和安置有关的条件。但是,它们对土壤微生物群落的影响以及对土壤功能的后续影响仍然难以量化。分子技术在土壤生物学中的最新应用,尤其是16S rRNA的使用,正在帮助弥合这一差距。在这项研究中,评估了一个示范农场中三个土地利用系统的影响,以期进一步了解这些做法如何影响观察到的土壤细菌群落。复制从三种土地利用系统(放牧的松树林,耕种的作物和放牧的草场)收集的土壤样本,并将其复制为一种土壤类型。高通量16S rRNA基因焦磷酸测序用于生成序列数据集。就在聚类分析中发现的差异以及多样性指数而言,不同的土地利用系统在细菌群落结构上显示出差异。特定的分类单元,特别是放线菌,酸性细菌和变形杆菌的类别,在土地利用层次上显示出明显的变化。属于这些分类群的家庭在班级层面上迷惑了视线和寡眼,这是因为放线菌科的许多较不丰富的族群显示出土壤环境的倾向,碳/养分利用率降低。尽管整个站点的土壤有机碳(SOC)值最低,但放线菌和多生细菌的订单在受严重干扰的耕作系统中显示出最高的丰度。某些土壤特性([SOC],总氮[TN],土壤质地,磷酸二酯酶[PD],碱性磷酸酶[APA],酸性磷酸酶[ACP]活性和pH)在不同的土地利用方式下也存在显着差异。 PD和pH显示出与群落结构和组成的变化一致的变化。这些结果表明,焦磷酸测序的使用以及对土壤理化性质的传统分析可以提供对细菌群落中降级生物分类群生态学的深入了解。

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