欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报

• 研究报告 • 上一篇    下一篇

砷矿区农田土壤微生物群落碳源代谢多样性

华建峰1,林先贵2,蒋倩2,张华勇2,陈茜3,殷云龙1**   

  1. (1江苏省中国科学院植物研究所, 南京 210014; 2中国科学院南京土壤研究所, 南京 210008; 3九江职业大学文化旅游学院, 江西九江 332000)
  • 出版日期:2013-02-18 发布日期:2013-02-18

Diversity of carbon source metabolism of microbial community in farmland soils in an arsenic mining area.

HUA Jian-feng1, LIN Xian-gui2, JIANG Qian2, ZHANG Hua-yong2, CHEN Qian3, YIN Yun-long1   

  1. (1Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China; 2Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; 3Culture and Tourism College, Jiujiang Vocational University, Jiujiang 332000, Jiangxi, China)
  • Online:2013-02-18 Published:2013-02-18

摘要: 采用Biolog方法研究了砷(As)矿区农田土壤微生物碳源利用多样性及其与土壤化学性质的关系.结果表明: 3种土壤的N、P、K、有机质(OM)、Cu和Zn全量依次为中As > 高As > 低As土壤.中As和高As土壤微生物平均吸光度以及多样性指数(H′、DU)显著高于低As土壤.主成分分析与生理碳代谢指纹图谱分析表明,中As和高As土壤微生物对糖类、氨基酸类等碳源的利用程度显著高于低As土壤.典范对应分析显示,影响土壤微生物群落碳源代谢的主要有全P、OM、全Pb、全Zn、全N和pH,全As并不是最主要的影响因子.可见,养分是影响长期污染土壤微生物群落结构和功能多样性的主要因素.

Abstract: 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.