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

Appl Microbiol Biotechnol. 2016 Aug;100(15):6871-6880. doi: 10.1007/s00253-016-7537-1. Epub 2016 Apr 19.

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.

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

MeSH terms

  • Acidithiobacillus / metabolism*
  • Archaea / metabolism*
  • Biodiversity
  • Copper
  • Iron / metabolism*
  • Microbiota
  • Mining
  • RNA, Ribosomal, 16S / genetics
  • Sulfur / metabolism*

Substances

  • RNA, Ribosomal, 16S
  • Sulfur
  • Copper
  • Iron