Literature DB >> 27094188

Microbial communities from different subsystems in biological heap leaching system play different roles in iron and sulfur metabolisms.

Yunhua Xiao1,2, Xueduan Liu1,2, Liyuan Ma1,2, Yili Liang1,2, Jiaojiao Niu1,2, Yabing Gu1,2, Xian Zhang1,2, Xiaodong Hao1,2, Weiling Dong1,2, Siyuan She1,2, Huaqun Yin3,4.   

Abstract

The microbial communities are important for minerals decomposition in biological heap leaching system. However, the differentiation and relationship of composition and function of microbial communities between leaching heap (LH) and leaching solution (LS) are still unclear. In this study, 16S rRNA gene sequencing was used to assess the microbial communities from the two subsystems in ZiJinShan copper mine (Fujian province, China). Results of PCoA and dissimilarity test showed that microbial communities in LH samples were significantly different from those in LS samples. The dominant genera of LH was Acidithiobacillus (57.2 ∼ 87.9 %), while Leptospirillum (48.6 ∼ 73.7 %) was predominant in LS. Environmental parameters (especially pH) were the major factors to influence the composition and structure of microbial community by analysis of Mantel tests. Results of functional test showed that microbial communities in LH utilized sodium thiosulfate more quickly and utilized ferrous sulfate more slowly than those in LS, which further indicated that the most sulfur-oxidizing processes of bioleaching took place in LH and the most iron-oxidizing processes were in LS. Further study found that microbial communities in LH had stronger pyrite leaching ability, and iron extraction efficiency was significantly positively correlated with Acidithiobacillus (dominated in LH), which suggested that higher abundance ratio of sulfur-oxidizing microbes might in favor of minerals decomposition. Finally, a conceptual model was designed through the above results to better exhibit the sulfur and iron metabolism in bioleaching systems.

Entities:  

Keywords:  16S rRNA gene sequencing; Conceptual model; Leaching heap; Leaching solution; Linear regression analysis; PCoA

Mesh:

Substances:

Year:  2016        PMID: 27094188     DOI: 10.1007/s00253-016-7537-1

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  5 in total

1.  Adaptive Evolution of Extreme Acidophile Sulfobacillus thermosulfidooxidans Potentially Driven by Horizontal Gene Transfer and Gene Loss.

Authors:  Xian Zhang; Xueduan Liu; Yili Liang; Xue Guo; Yunhua Xiao; Liyuan Ma; Bo Miao; Hongwei Liu; Deliang Peng; Wenkun Huang; Yuguang Zhang; Huaqun Yin
Journal:  Appl Environ Microbiol       Date:  2017-03-17       Impact factor: 4.792

2.  Chalcopyrite bioleaching of an in situ leaching system by introducing different functional oxidizers.

Authors:  Caoming Huang; Chong Qin; Xue Feng; Xueduan Liu; Huaqun Yin; Luhua Jiang; Yili Liang; Hongwei Liu; Jiemeng Tao
Journal:  RSC Adv       Date:  2018-11-02       Impact factor: 4.036

3.  Comparison of microbial taxonomic and functional shift pattern along contamination gradient.

Authors:  Youhua Ren; Jiaojiao Niu; Wenkun Huang; Deliang Peng; Yunhua Xiao; Xian Zhang; Yili Liang; Xueduan Liu; Huaqun Yin
Journal:  BMC Microbiol       Date:  2016-06-14       Impact factor: 3.605

4.  Comparative Genomics Unravels the Functional Roles of Co-occurring Acidophilic Bacteria in Bioleaching Heaps.

Authors:  Xian Zhang; Xueduan Liu; Yili Liang; Yunhua Xiao; Liyuan Ma; Xue Guo; Bo Miao; Hongwei Liu; Deliang Peng; Wenkun Huang; Huaqun Yin
Journal:  Front Microbiol       Date:  2017-05-05       Impact factor: 5.640

5.  Key Factors Governing Microbial Community in Extremely Acidic Mine Drainage (pH <3).

Authors:  Ye Huang; Xiu-Tong Li; Zhen Jiang; Zong-Lin Liang; Pei Wang; Zheng-Hua Liu; Liang-Zhi Li; Hua-Qun Yin; Yan Jia; Zhong-Sheng Huang; Shuang-Jiang Liu; Cheng-Ying Jiang
Journal:  Front Microbiol       Date:  2021-11-30       Impact factor: 5.640

  5 in total

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