State Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Appl Environ Microbiol. 2010 Nov;76(21):7277-84. doi: 10.1128/AEM.00500-10. Epub 2010 Sep 10.
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.
为了了解微生物群落和功能基因如何响应蜈蚣草根际砷污染,从蜈蚣草根际和非根际区域采集了五个砷污染程度不同的土壤样本,并通过 Biolog、地球化学和功能基因微阵列(GeoChip 3.0)分析进行了研究。Biolog 分析表明,无污染土壤具有最大的单一碳利用能力多样性,而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 分析表明,五个土壤样本之间的重叠基因比例较低(16.52%至 45.75%)。无污染土壤的异质性和独特基因(48.09%)高于砷污染土壤。砷抗性、硫还原、磷利用和反硝化基因在蜈蚣草根际和非根际土壤之间存在显著差异,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。典范对应分析(CCA)表明,砷是降低土壤功能基因多样性的主要驱动因素;然而,有机物和磷对土壤微生物群落结构也有显著影响。结果表明,根际细菌在蜈蚣草吸收土壤砷和超积累过程中发挥着重要作用。