Study on the influence of soil microbial community on the long-term heavy metal pollution of different land use types and depth layers in mine

2019 ◽  
Vol 170 ◽  
pp. 218-226 ◽  
Author(s):  
Xingqing Zhao ◽  
Jian Huang ◽  
Jin Lu ◽  
Yu Sun
2017 ◽  
Vol 93 (10) ◽  
Author(s):  
Dennis Goss-Souza ◽  
Lucas William Mendes ◽  
Clovis Daniel Borges ◽  
Dilmar Baretta ◽  
Siu Mui Tsai ◽  
...  

2011 ◽  
Vol 62 (2) ◽  
pp. 474-485 ◽  
Author(s):  
Bo Sun ◽  
Zhi-Xing Dong ◽  
Xue-Xian Zhang ◽  
Yun Li ◽  
Hui Cao ◽  
...  

2021 ◽  
Vol 237 ◽  
pp. 01010
Author(s):  
Tian-Peng Gao ◽  
Jing-Wen Fu ◽  
Ming-Bo Zuo ◽  
Yu-Bing Liu ◽  
Dang-Hui Xu ◽  
...  

Five different land use types (desert, farmland, mining park, slag heap and tailing dam) were selected as variables around the Jinchuan Cu-Ni mining area in Jinchang, Gansu Province in the present study. The Atriplex canescens (Pursh) Nutt.’s rhizosphere bacterial abundance, diversity and community composition were examined taking advantage of High-throughput sequencing technology to discuss the effect of soil physicochemical properties on soil microbial community structure. The result indicated that the phylum Proteobacteria and Firmicutes was the most dominant taxon in desert, farmland and mining park, with a high abundance more than 30%. The phylum Proteobacteria was the most dominant taxon in slag heap and tailing dam, with a high abundance more than 40%. The tailing dam had the highest bacterial Chao indexes and the farmland had the highest bacterial Observed species indexes, Shannon indexes and Simpson indexes. Observed species indexes and Shannon indexes between the five sites were significantly different. The redundancy analysis and principal component analysis showed that the main environmental factors caused the different of rhizosphere bacterial community structure in five land use types were Mg, Ca, Cu, TN and moisture, followed by Ni, Cr, K, Pb, Zn content and pH. Hence, the result indicates that land use and soil environmental factors had significant impact on the diversity of soil microbial community structure.


Geoderma ◽  
2017 ◽  
Vol 293 ◽  
pp. 73-81 ◽  
Author(s):  
Sutie Xu ◽  
Maria L. Silveira ◽  
Kanika S. Inglett ◽  
Lynn E. Sollenberger ◽  
Stefan Gerber

Author(s):  
Xingqing Zhao ◽  
Jian Huang ◽  
Xuyan Zhu ◽  
Jinchun Chai ◽  
Xiaoli Ji

The objectives of this study were to understand the characteristics of heavy metal pollution caused by mining activities on the two sides of the Shun’an river and the response of soil microorganisms to the habitats by different contamination levels and vegetation. This paper selected soil samples from the banks of the Shun’an River near the Shizishan mining area, which is at the left of the river, in Tongling, Anhui Province, China. Using Illumina MiSeq 2500 technology, we analyzed the relationship between environmental factors and microbial communities. As the distance from the mining area increased, the heavy metal comprehensive pollution and potential risk value decreased. Additionally, the pollution severity and risk value of the left bank, where the mining area lies, were generally higher than those of the right bank. Because the symmetric sampling points on both banks of the river had similar planting types, their environmental factors and microbial community structure were similar and clustered. However, under different vegetation, the paddy soils tended to have a higher nutrient content and community richness and diversity than the vegetable fields or the abandoned land. It was found that soil microbial communities in this area were mostly affected by pH and Nemerow pollution index (PN). The pH significantly affected the abundance and structure of most microorganisms. In addition, Proteobacteria, Acidobacteria, and Bacteroidetes had significant tolerance to Zn, Pb, and Cd. By exploring the potential use of these tolerant microorganisms, we seek to provide strains and the theoretical basis for the bioremediation of areas contaminated by heavy metal.


2017 ◽  
Vol 229 (1) ◽  
Author(s):  
Magdalena Pacwa-Płociniczak ◽  
Tomasz Płociniczak ◽  
Dan Yu ◽  
Jukka M. Kurola ◽  
Aki Sinkkonen ◽  
...  

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