重金属污染对鄱阳湖底泥微生物群落结构的影响

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Abstract

An alternative approach based on the high-throughout Mi-seq sequencing technology was used in this study to analyze microbial communities of the sediments polluted by heavy metals from Poyang Lake estuaries including Xinjiang river (XS), Raohe river (RS), Xiushui river (SS) and Ganjiang river (GS), which aimed to understand how microbial community composition response to different heavy metals (Cu、Zn、Cd、Pb、Cr and Mn). Contents of total Cu (T_Cu) and Zn (T_Zn) in RS and XS were significantly higher than those in other rivers (SS and GS), and the content of total Mn (T_Mn) in GS was the highest, but the content of available Pb (A_Pb) was the highest in XS among the four river estuaries. On the other hand, total Pb (T_Pb), total and available Cd (T_Cd and A_Cd), and total and available Cr (T_Cr and A_Cr) among four rivers estuaries had no significant difference with each other. The microbial communities explored by 16S rRNA gene sequencing were distributing mainly in five broad taxonomic groups, which were Proteobacteria (32.54%~50.35%), Acidobacteria (6.13%~13.13%), Bacteroidetes (4.38%~14.92%), Verrucomicrobia (6.42%~10.70%) and Chloroflexi (3.21%~11.73%). The microbial diversity index (Chao 1and Shannon) of SS and GS were much higher than those of the RS, which resulted from much higher heavy metals in RS than the others. Correlation analysis showed that both kinds (total and available) of heavy metal ions (Cu、Zn、Cd、Pb、Cr and Mn) measured had significantly positive or negative relation with 138 operational taxonomic units (OTUS) among all OTUS (18921~32161) detected, and Cu and Zn had the most related OTU numbers among all metals. For example, A_Cu were positively related with nine genera in Proteobacteria, and A_Cd positively related with five genera in the same phylum. These microbes may be the important species resource for restoration of damaged water or land area polluted by heavy metals.

Key words： Mi-seq sequencing soil microbe heavy metals Poyang Lake

Received: 20 April 2016

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X172

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	Articles by authors
	JIANG Yu-mei
	ZHANG Chen
	HUANG Xiao-lan
	NI Cai-ying
	WANG Jin-feng
	SONG Peng-fei
	ZHANG Zhi-bin

Cite this article:

JIANG Yu-mei,ZHANG Chen,HUANG Xiao-lan等. Effect of heavy metals in the sediment of Poyang Lake estuary on microbial communities structure base on Mi-seq sequencing[J]. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(11): 3475-3486.

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http://manu36.magtech.com.cn/Jweb_zghjkx/EN/ OR http://manu36.magtech.com.cn/Jweb_zghjkx/EN/Y2016/V36/I11/3475

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