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碱性铜矿排水中细菌群落的生态模式和适应性。

Ecological patterns and adaptability of bacterial communities in alkaline copper mine drainage.

机构信息

Institute of Loess Plateau, Shanxi University, Taiyuan, 030006, China.

Faculty of Environment Economics, Shanxi University of Finance and Economics, Taiyuan, 030006, China.

出版信息

Water Res. 2018 Apr 15;133:99-109. doi: 10.1016/j.watres.2018.01.014. Epub 2018 Jan 9.

Abstract

Environmental gradient have strong effects on community assembly processes. In order to reveal the effects of alkaline mine drainage (AlkMD) on bacterial and denitrifying bacterial community compositions and diversity in tailings reservoir, here we conducted an experiment to examine all and core bacterial taxa and denitrifying functional genes's (nirS, nirK, nosZ) abundance along a chemical gradient in tailings water in Shibahe copper tailings in Zhongtiaoshan, China. Differences in bacterial and denitrifying bacterial community compositions in different habitats and their relationships with environmental parameters were analyzed. The results showed that the richness and diversity of bacterial community in downstream seeping water (SDSW) were the largest, while that in upstream tailings water (STW1) were the lowest. The diversity and abundance of bacterial communities tended to increase from STW1 to SDSW. The variation of bacterial community diversity was significantly related to electroconductibility (EC), nitrate (NO), nitrite (NO), total carbon (TC), inorganic carbon (IC) and sulfate (SO), but was not correlated with geographic distance in local scale. Core taxa from class to genus were all significantly related to NO and NO. Core taxa Rhodobacteraceae, Rhodobacter, Acinetobacter and Hydrogenophaga were typical denitrifying bacteria. The variation trends of these groups were consistent with the copy number of nirS, nirK and nosZ, demonstrating their importance in the process of nitrogen reduction. The copy number of nirK, nosZ and nirS/16S rDNA, nirK/16Sr DNA correlated strongly with NO, NO and IC, but nirS and nosZ/16SrDNA had no significant correlation with NO and NO. The copy numbers of denitrifying functional genes (nirS, nirK and nosZ) were negatively correlated with heavy metal plumbum (Pb) and zinc (Zn). It showed that heavy metal contamination was an important factor affecting the structure of denitrifying bacterial community in AlkMD. In this study we have identified the distribution pattern of bacterial community along physiochemical gradients in alkaline tailings reservoir and displayed the driving force of shaping the structure of bacterial community. The influence of NO, NO, IC and heavy metal Pb and Zn on bacterial community might via their influence on the functional groups involving nitrogen, carbon and metal metabolisms.

摘要

环境梯度对群落组装过程有很强的影响。为了揭示碱性矿山排水(AlkMD)对尾矿库中细菌和反硝化细菌群落组成和多样性的影响,本研究在中国中条山寺河铜矿尾矿库中,沿尾矿水的化学梯度进行了一项实验,以研究全细菌类群和核心细菌类群以及反硝化功能基因(nirS、nirK、nosZ)的丰度。分析了不同生境中细菌和反硝化细菌群落组成的差异及其与环境参数的关系。结果表明,下游渗流水(SDSW)的细菌群落丰富度和多样性最大,而上游尾矿水(STW1)的最低。细菌群落的多样性和丰度从 STW1 到 SDSW 呈增加趋势。细菌群落多样性的变化与电导率(EC)、硝酸盐(NO)、亚硝酸盐(NO)、总碳(TC)、无机碳(IC)和硫酸盐(SO)显著相关,但在局部尺度上与地理距离无关。从纲到属的核心分类群均与 NO 和 NO 显著相关。Rhodobacteraceae、Rhodobacter、Acinetobacter 和 Hydrogenophaga 等核心分类群为典型的反硝化细菌。这些类群的变化趋势与 nirS、nirK 和 nosZ 的拷贝数一致,表明它们在氮还原过程中的重要性。nirK、nosZ 和 nirS/16S rDNA、nirK/16S rDNA 的拷贝数与 NO、NO 和 IC 呈强相关性,但 nirS 和 nosZ/16S rDNA 与 NO 和 NO 无显著相关性。反硝化功能基因(nirS、nirK 和 nosZ)的拷贝数与重金属铅(Pb)和锌(Zn)呈负相关。这表明重金属污染是影响 AlkMD 中反硝化细菌群落结构的重要因素。本研究确定了碱性尾矿库中细菌群落沿理化梯度的分布模式,并展示了塑造细菌群落结构的驱动力。NO、NO、IC 和重金属 Pb 和 Zn 对细菌群落的影响可能是通过它们对涉及氮、碳和金属代谢的功能群的影响。

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