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工业区域污水排放对海洋沉积物中细菌和古菌群落的影响。

Effect of wastewater disposal on the bacterial and archaeal community of sea sediment in an industrial area in China.

机构信息

School of Environment, Tsinghua University, Beijing, China.

出版信息

FEMS Microbiol Ecol. 2014 May;88(2):320-32. doi: 10.1111/1574-6941.12298. Epub 2014 Mar 11.

Abstract

Human activities usually leave footprints in the environment. By using 454 pyrosequencing, the impact of effluent from an industrial park on the coastal microecology in Hangzhou Bay, China, was interpreted by analysing the microbial communities of the activated sludge from three wastewater treatment plants and the sediment from the effluent receiving area. Based on richness and biodiversity, the sediments were more diversified than the activated sludge, although the seawater environment was highly contaminated. Both bacterial and archaeal communities were niche-determined. The bacterial phylum Proteobacteria dominated in all samples; and certain pollutant-resistant genera, such as Thauera and Truepera, were found in all samples. Archaeal phyla Euryarchaeota and Thaumarchaeota dominated the activated sludge and sediment samples, respectively. According to the analysis of shared operational taxonomic units (OTUs) and reads among different samples, more bacterial OTUs and reads were shared between two samples from sites with a direct effluent connection, showing a clear correlation between the wastewater treatment plants and the effluent receiving bay area. The impact of second-hand pollution can be evaluated by comparing the bacterial community in different eco-environments with a direct effluent connection, especially when pristine samples are not available.

摘要

人类活动通常会在环境中留下足迹。通过使用 454 焦磷酸测序技术,分析了来自三个污水处理厂的活性污泥和污水排放接收区的沉积物中的微生物群落,以解释来自工业园区的废水对中国杭州湾沿海微生物区系的影响。基于丰富度和生物多样性,尽管海水环境受到高度污染,但沉积物的多样性却高于活性污泥。细菌和古菌群落都是由小生境决定的。在所有样本中,细菌门变形菌门均占优势;并且在所有样本中都发现了某些抗污染物属,如陶厄氏菌属和真杆菌属。古菌门广古菌门和奇古菌门分别在活性污泥和沉积物样品中占主导地位。根据不同样品之间共享的操作分类单元(OTU)和读取的分析,在具有直接废水连接的两个样品之间共享了更多的细菌 OTU 和读取,表明污水处理厂和废水接收湾区之间存在明显的相关性。通过比较具有直接废水连接的不同生态环境中的细菌群落,可以评估二手污染的影响,特别是在没有原始样本的情况下。

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