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Looking for Rhizobacterial Ecological Indicators in Agricultural Soils Using 16S rRNA metagenomic Amplicon Data

机译:使用16S rRNA宏基因组扩增子数据寻找农业土壤中的根瘤菌生态指标

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摘要

IntroductionBiological communities present in soil are essential to sustainable and productive agricultural practices; however, an accurate determination of the ecological status of agricultural soils remains to date an elusive task. An ideal indicator should be pervasive, play a relevant role in the ecosystem, show a rapid and proportional answer to external perturbations and be easily and economically measurable. Rhizobacteria play a major role in determining soil properties, becoming an attractive candidate for the detection of ecological indicators. The application of massive sequencing technologies to metagenomic analysis is providing an increasingly more precise view of the structure and composition of soil communities. In this work, we analyse soil rhizobacterial composition under various stress levels to search for potential ecological indicators.
机译:简介土壤中存在的生物群落对于可持续和生产性农业实践至关重要;然而,迄今为止,准确确定农业土壤的生态状况仍然是一项艰巨的任务。理想的指标应是普遍的,应在生态系统中发挥重要作用,对外部扰动显示出快速且成比例的答案,并且应易于经济地测量。根际细菌在确定土壤性质中起着重要作用,成为检测生态指标的诱人候选人。大规模测序技术在宏基因组学分析中的应用为土壤群落的结构和组成提供了越来越精确的视图。在这项工作中,我们分析了各种胁迫水平下土壤根际细菌的组成,以寻找潜在的生态指标。

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