Hua Jian-Feng, Lin Xiang-Gui, Jiang Qian, Zhang Hua-Yong, Chen Qian, Yin Yun-Long
Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China.
Ying Yong Sheng Tai Xue Bao. 2013 Feb;24(2):473-80.
By using Biolog technique, this paper studied the diversity of carbon source metabolism of microbial community in three farmland soils with different levels of arsenic (As) in an As mining area, and the relationships between the diversity of the carbon source metabolism and the main soil chemical properties. The total N (TN), total P (TP), total K (TK), organic matter (OM), total Cu, and total Zn contents in the three soils were in the order of medium level As > high level As > low level As. The average well color development (AWCD), Shannon index (H'), Simpson index (D), and McIntosh index (U) of soil microbes were significantly higher in the soils with medium and high levels As than in the soil with low level As. The principal component analysis and the fingerprints of the physiological carbon metabolism of the microbial community in the three soils demonstrated that the microbes in the soils with medium and high levels As had a significantly higher (P<0. 05) utilization rate in carbohydrates and amino acids than the microbes in the soil with low level As. The correlation analysis showed that the AWCD, H', D, and U were significantly positively correlated with the contents of soil TN, TP, OM, total As, total Cu, total Pb, and total Zn (P<0.05), and the canonical correspondence analysis revealed that soil TP, OM, total Pb, total Zn, TN, and pH rather than soil total As were the main soil chemical properties affecting the carbon source metabolism of soil microbial community. It was considered that soil nutrients could be the main factors affecting the community structure and functions of soil microbes in long-term contaminated soils.
利用Biolog技术，研究了某砷矿区不同砷（As）含量水平的三种农田土壤中微生物群落碳源代谢多样性，以及碳源代谢多样性与主要土壤化学性质之间的关系。三种土壤中的全氮（TN）、全磷（TP）、全钾（TK）、有机质（OM）、全铜和全锌含量顺序为中砷水平>高砷水平>低砷水平。中、高砷水平土壤中土壤微生物的平均颜色变化率（AWCD）、香农指数（H'）、辛普森指数（D）和麦金托什指数（U）显著高于低砷水平土壤。三种土壤微生物群落生理碳代谢的主成分分析和指纹图谱表明，中、高砷水平土壤中的微生物对碳水化合物和氨基酸的利用率显著高于低砷水平土壤中的微生物（P<0.05）。相关性分析表明，AWCD、H'、D和U与土壤TN、TP、OM、总砷、总铜、总铅和总锌含量显著正相关（P<0.05），典范对应分析表明，影响土壤微生物群落碳源代谢的主要土壤化学性质是土壤TP、OM、总铅、总锌、TN和pH值，而非土壤总砷。研究认为，土壤养分可能是长期污染土壤中影响土壤微生物群落结构和功能的主要因素。
