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Microbial Communities and Functional Genes Associated with Soil Arsenic Contamination and the Rhizosphere of the Arsenic-Hyperaccumulating Plant Pteris vittata L.

机译:与土壤砷污染和砷超富集植物凤尾蕨根际相关的微生物群落和功能基因。

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To understand how microbial communities and functional genes respond to arsenic contamination in the rhizosphere of Pteris vittata , five soil samples with different arsenic contamination levels were collected from the rhizosphere of P. vittata and nonrhizosphere areas and investigated by Biolog, geochemical, and functional gene microarray (GeoChip 3.0) analyses. Biolog analysis revealed that the uncontaminated soil harbored the greatest diversity of sole-carbon utilization abilities and that arsenic contamination decreased the metabolic diversity, while rhizosphere soils had higher metabolic diversities than did the nonrhizosphere soils. GeoChip 3.0 analysis showed low proportions of overlapping genes across the five soil samples (16.52% to 45.75%). The uncontaminated soil had a higher heterogeneity and more unique genes (48.09%) than did the arsenic-contaminated soils. Arsenic resistance, sulfur reduction, phosphorus utilization, and denitrification genes were remarkably distinct between P. vittata rhizosphere and nonrhizosphere soils, which provides evidence for a strong linkage among the level of arsenic contamination, the rhizosphere, and the functional gene distribution. Canonical correspondence analysis (CCA) revealed that arsenic is the main driver in reducing the soil functional gene diversity; however, organic matter and phosphorus also have significant effects on the soil microbial community structure. The results implied that rhizobacteria play an important role during soil arsenic uptake and hyperaccumulation processes of P. vittata .
机译:为了了解Pteris vittata根际中微生物群落和功能基因如何响应砷污染,从P. vittata和非根际地区的根际收集了五种具有不同砷污染水平的土壤样品,并通过Biolog,地球化学和功能基因微阵列进行了调查。 (GeoChip 3.0)分析。 Biolog分析表明,未污染的土壤具有最大的单一碳利用能力多样性,砷污染降低了代谢多样性,而根际土壤的代谢多样性高于非根际土壤。 GeoChip 3.0分析显示,在五个土壤样品中重叠基因的比例很低(16.52%至45.75%)。与砷污染的土壤相比,未污染的土壤具有更高的异质性和更多的独特基因(48.09%)。紫菜根际土壤和非根际土壤之间的抗砷性,硫还原,磷利用和反硝化基因显着不同,这为砷污染水平,根际和功能基因分布之间的紧密联系提供了证据。典型对应分析(CCA)表明,砷是减少土壤功能基因多样性的主要驱动力。然而,有机物和磷对土壤微生物群落结构也有重要影响。结果表明,根际细菌在土壤砷的吸收和高积累过程中起着重要作用。

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