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首页> 外文期刊>Geomicrobiology journal >Changes in Bacterial Community Structure and Abundance in Agricultural Soils under Varying Levels of Arsenic Contamination
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Changes in Bacterial Community Structure and Abundance in Agricultural Soils under Varying Levels of Arsenic Contamination

机译:不同砷污染水平下农业土壤细菌群落结构和丰度的变化

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摘要

Arsenic contamination from groundwater used to irrigate crops is a major issue across several agriculturally important areas of Asia. Assessing bacterial community composition in highly contaminated sites could lead to the identification of novel bioremediation strategies. In this study, the bacterial community structure and abundance are assessed in agricultural soils with varying levels of arsenic contamination at Ambagarh Chauki block, Chhattisgarh, India, based on polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) of the 16S rRNA gene and the most probable number-polymerase chain reaction (MPN-PCR). The results revealed that the bacterial communities of arsenic-contaminated soils are dominated by β-proteobacteria (36%), γ-proteobacteria (21%), δ-proteobacteria (11%), α-proteobacteria (11%), and Bacteroidetes (11%). The bacterial composition of high arsenic-contaminated soils differed significantly from that of low arsenic-contaminated soils. The Proteobacteria appeared to be more resistant to arsenic contamination, while the Bacteroidetes and Nitrospirae were more sensitive to it. The bacterial abundance determined by MPN-PCR decreased significantly as As-toxicity increased. In addition to As, other trace metals, like Pb, U, Cu, Ni, Sn, Zn and Zr, significantly (p < 0.01) explain the changes in bacterial structural diversity in agricultural soils with different level of arsenic contamination, as determined by canonical correspondence analysis (CCA).
机译:在亚洲几个农业重要地区,用于灌溉农作物的地下水中的砷污染是一个主要问题。在高度污染的地点评估细菌群落组成可能会导致确定新的生物修复策略。在这项研究中,基于16S rRNA基因的聚合酶链反应-变性梯度凝胶电泳(PCR-DGGE),对印度Chhattisgarh Ambagarh Chauki街区具有不同砷污染水平的农业土壤中的细菌群落结构和丰度进行了评估。最可能的数字聚合酶链反应(MPN-PCR)。结果表明,砷污染土壤的细菌群落主要由β变形杆菌(36%),γ变形细菌(21%),δ变形细菌(11%),α变形细菌(11%)和拟杆菌( 11%)。高砷污染土壤的细菌组成与低砷污染土壤的细菌组成明显不同。变形杆菌似乎对砷污染有更强的抵抗力,而拟杆菌和硝化螺菌对此更敏感。 MPN-PCR测定的细菌丰度随着As毒性的增加而显着降低。除砷外,其他微量金属(如Pb,U,Cu,Ni,Sn,Zn和Zr)也显着(p <0.01)解释了不同砷污染水平下农业土壤中细菌结构多样性的变化,具体方法如下:规范对应分析(CCA)。

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