scholarly journals Functional activity and functional gene diversity of a Cu-contaminated soil remediated by aided phytostabilization using compost, dolomitic limestone and a mixed tree stand

2018 ◽  
Vol 242 ◽  
pp. 229-238 ◽  
Author(s):  
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Jizhong Zhou ◽  
Joy Van Nostrand ◽  
Michel Mench ◽  
Clemence Bes ◽  
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2021 ◽  
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Koichi Takahashi ◽  
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2016 ◽  
pp. 165-186 ◽  
Author(s):  
Sergey B. Zotchev ◽  
Olga N. Sekurova ◽  
D. İpek Kurtböke

2015 ◽  
Vol 16 (6) ◽  
pp. 1455-1464 ◽  
Author(s):  
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Samuel J. Shry ◽  
Dave P. Jacobson ◽  
Nicholas M. Sard ◽  
Kathleen G. O’Malley

2014 ◽  
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Jorge L. M. Rodrigues ◽  
Jizhong Zhou ◽  
Liyou Wu ◽  
Rebecca C. Mueller ◽  
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ABSTRACTAcid mine drainage (AMD) is an extreme environment, usually with low pH and high concentrations of metals. Although the phylogenetic diversity of AMD microbial communities has been examined extensively, little is known about their functional gene diversity and metabolic potential. In this study, a comprehensive functional gene array (GeoChip 2.0) was used to analyze the functional diversity, composition, structure, and metabolic potential of AMD microbial communities from three copper mines in China. GeoChip data indicated that these microbial communities were functionally diverse as measured by the number of genes detected, gene overlapping, unique genes, and various diversity indices. Almost all key functional gene categories targeted by GeoChip 2.0 were detected in the AMD microbial communities, including carbon fixation, carbon degradation, methane generation, nitrogen fixation, nitrification, denitrification, ammonification, nitrogen reduction, sulfur metabolism, metal resistance, and organic contaminant degradation, which suggested that the functional gene diversity was higher than was previously thought. Mantel test results indicated that AMD microbial communities are shaped largely by surrounding environmental factors (e.g., S, Mg, and Cu). Functional genes (e.g.,narGandnorB) and several key functional processes (e.g., methane generation, ammonification, denitrification, sulfite reduction, and organic contaminant degradation) were significantly (P< 0.10) correlated with environmental variables. This study presents an overview of functional gene diversity and the structure of AMD microbial communities and also provides insights into our understanding of metabolic potential in AMD ecosystems.


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