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Monitoring of Rhizosphere Bacterial Communities in Soil with Sewage Sludge Addition Using Two Molecular Fingerprinting Methods: Do These Methods Give Similar Results?

机译:使用两种分子指纹法监测添加污泥的土壤中的根际细菌群落:这些方法是否得出相似的结果?

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In this study, bacterial genetic diversity from the rhizosphere of barley and wheat were studied. The plants were sown in pots with aliquot amount of 15 t/ha concentration of soil additive derived from sewage sludge and agricultural by-products represented by wastes from grain mill industry and crushed corn cobs. The plants sown in pots without the addition of soil additive represented control samples. The rhizosphere samples were collected on two dates (plant flowering and maturity) and the composition of bacterial communities were detected using two molecular fingerprinting methods – automated ribosomal intergenic spacer analysis (ARISA) and terminal restriction fragment length polymorphism (T-RFLP). Microbial biomass expressed as the amount of metagenomics DNA was higher in soils with addition of soil additive, except during maturity stage in barley rhizosphere. Nevertheless, statistically significant differences between control and sludge samples were not detected in any case. Similarly, no changes were detected in the composition of bacterial community between control and sludge samples in barley and wheat rhizosphere by using cluster analysis. Only minor temporal changes in the composition of bacterial community between flowering and maturity periods were observed. These changes were related to the samples collected in the plant maturity stage. In this stage, plants were completely mature and their impact on the rhizosphere bacterial communities in the form of root exudates was limited. Statistically significant differences between ARISA and T-RFLP methods were detected in all measured values of diversity indices. Despite these differences, both methods gave results leading to similar conclusions.
机译:在这项研究中,研究了大麦和小麦根际的细菌遗传多样性。将这些植物播种在盆中,其等分试样的量为15吨/公顷的土壤添加剂,这些添加剂来自污水污泥和以谷物加工业废料和粉碎的玉米芯为代表的农业副产品。在盆中播种而不添加土壤添加剂的植物为对照样品。在两个日期(植物开花和成熟)上采集了根际样品,并使用两种分子指纹技术(自动核糖体基因间隔分析(ARISA)和末端限制性片段长度多态性(T-RFLP))检测了细菌群落的组成。除大麦根际成熟阶段外,添加土壤添加剂的土壤中以宏基因组学DNA量表示的微生物生物量较高。然而,在任何情况下都没有检测到对照样品和污泥样品之间的统计学显着差异。同样,通过聚类分析,在大麦和小麦根际的对照和污泥样品之间细菌群落组成没有变化。在开花期和成熟期之间,仅观察到细菌群落组成的微小时间变化。这些变化与在植物成熟阶段收集的样品有关。在这个阶段,植物已经完全成熟,并且以根系分泌物的形式对根际细菌群落的影响是有限的。在所有多样性指数的测量值中,都发现了ARISA和T-RFLP方法之间的统计学显着差异。尽管存在这些差异,但两种方法都给出了得出相似结论的结果。

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