Differences in the Rhizosphere Microbial Activity and Community Composition of Commelina communis along a Copper Contamination Gradient
Differences in the Rhizosphere Microbial Activity and Community Composition of Commelina communis along a Copper Contamination Gradient
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铜污染梯度下鸭跖草根际微生物活性和群落组成的差异
DOI：
10.1080/00103624.2010.498535
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发表时间：
2010-08
影响因子：
1.8
通讯作者：
Chen Yingxu
中科院分区：
文献类型：
--
作者：
Wang Yuan Peng;Lin Qi;Li Qingbiao;Shi Jiyan;Chen Yingxu
在实验室条件下，研究了铜（Cu）植物修复对微生物群落组成的影响。在含铜梯度不同的土壤上种植铜积累植物Commelina communis。结果表明，Cu处理下的紫杉树生物量明显高于对照。在200、500和1000 mg kg - 1 Cu处理下，铜的含量分别为73.6、160.9和319.1 mg kg - 1。聚合酶链反应-变性梯度凝胶电泳（PCR-DGGE）指纹图谱分析表明，Cu的添加减少了土壤中有和没有植物的条带数量。主成分分析解释了土壤中不同根际土壤和Cu处理的52.7%的变异。这些结果表明，金合欢对根际土壤细菌活性和群落组成有显著影响，为进一步研究金属积累植物对土壤微生物的影响提供了基础。
We studied the effects of copper (Cu) phytoremediation on microbial community composition under laboratory conditions. A Cu accumulator, Commelina communis, was grown on a soil containing different gradients of Cu. Results showed that the biomass of C. communis grown with Cu differed from that of the control. Concentrations of Cu in the shoots of C. communis were 73.6, 160.9, and 319.1 mg kg−1 under 200, 500, and 1000 mg kg−1 Cu treatments, respectively. Polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) fingerprint analysis revealed that additions of Cu decreased the number of bands in the soil with C. communis or without plants. The principal component analysis explained 52.7% of the variance for the different rhizospheres of soil and Cu treatments in the soil samples. These results indicated significant effects on soil bacteria activity and community composition in the rhizosphere of C. communis and provided a basis for further studies of metal-accumulator plant effects on soil microorganisms.
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影响因子：
6.9
作者：
Akmal Muhammad;Hai-zhen Wang;Jian-jun Wu;Jian-ming Xu;De-fu Xu
通讯作者：
Akmal Muhammad;Hai-zhen Wang;Jian-jun Wu;Jian-ming Xu;De-fu Xu
影响因子：
4.4
作者：
B. M. Duineveld;A. Rosado;J. V. van Elsas;J. A. van Veen
通讯作者：
B. M. Duineveld;A. Rosado;J. V. van Elsas;J. A. van Veen
影响因子：
9.7
作者：
Marschner, P;Yang, CH;Crowley, DE
通讯作者：
Crowley, DE
影响因子：
8.8
作者：
A. Vivas;B. Biró;J. M. Ruiz-Lozano;J. Barea;R. Azcón
通讯作者：
A. Vivas;B. Biró;J. M. Ruiz-Lozano;J. Barea;R. Azcón
影响因子：
8.9
作者：
Jing Song;F. Zhao;Yong-ming Luo;S. McGrath;Hao Zhang
通讯作者：
Jing Song;F. Zhao;Yong-ming Luo;S. McGrath;Hao Zhang