caa a22 4500 605504806 CHVBK 20210128100618.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00253-015-6881-x doi (NATIONALLICENCE)springer-10.1007/s00253-015-6881-x The complicated substrates enhance the microbial diversity and zinc leaching efficiency in sphalerite bioleaching system [Elektronische Daten] [Yunhua Xiao, YongDong Xu, Weiling Dong, Yili Liang, Fenliang Fan, Xiaoxia Zhang, Xian Zhang, Jiaojiao Niu, Liyuan Ma, Siyuan She, Zhili He, Xueduan Liu, Huaqun Yin] This study used an artificial enrichment microbial consortium to examine the effects of different substrate conditions on microbial diversity, composition, and function (e.g., zinc leaching efficiency) through adding pyrite (SP group), chalcopyrite (SC group), or both (SPC group) in sphalerite bioleaching systems. 16S rRNA gene sequencing analysis showed that microbial community structures and compositions dramatically changed with additions of pyrite or chalcopyrite during the sphalerite bioleaching process. Shannon diversity index showed a significantly increase in the SP (1.460), SC (1.476), and SPC (1.341) groups compared with control (sphalerite group, 0.624) on day 30, meanwhile, zinc leaching efficiencies were enhanced by about 13.4, 2.9, and 13.2%, respectively. Also, additions of pyrite or chalcopyrite could increase electric potential (ORP) and the concentrations of Fe3+ and H+, which were the main factors shaping microbial community structures by Mantel test analysis. Linear regression analysis showed that ORP, Fe3+ concentration, and pH were significantly correlated to zinc leaching efficiency and microbial diversity. In addition, we found that leaching efficiency showed a positive and significant relationship with microbial diversity. In conclusion, our results showed that the complicated substrates could significantly enhance microbial diversity and activity of function. Springer-Verlag Berlin Heidelberg, 2015 Sphalerite bioleaching nationallicence Artificial enrichment microbial consortium nationallicence 16S rRNA gene sequencing nationallicence Shannon diversity index nationallicence Linear regression analysis nationallicence Xiao Yunhua School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Xu YongDong School of Computer Science and Technology, Harbin Institute of Technology, 264209, WeiHai, China aut Dong Weiling School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Liang Yili School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Fan Fenliang Key Laboratory of Plant Nutrition and Fertilizer, 100000, Beijing, China aut Zhang Xiaoxia Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, 100000, Beijing, China aut Zhang Xian School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Niu Jiaojiao School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Ma Liyuan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut She Siyuan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut He Zhili Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA aut Liu Xueduan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Yin Huaqun School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/23(2015-12-01), 10311-10322 0175-7598 99:23<10311 2015 99 253 https://doi.org/10.1007/s00253-015-6881-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00253-015-6881-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xiao Yunhua School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Xu YongDong School of Computer Science and Technology, Harbin Institute of Technology, 264209, WeiHai, China aut NATIONALLICENCE 700 1- Dong Weiling School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Liang Yili School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Fan Fenliang Key Laboratory of Plant Nutrition and Fertilizer, 100000, Beijing, China aut NATIONALLICENCE 700 1- Zhang Xiaoxia Key Laboratory of Microbial Resources Collection and Preservation, Ministry of Agriculture, 100000, Beijing, China aut NATIONALLICENCE 700 1- Zhang Xian School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Niu Jiaojiao School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Ma Liyuan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- She Siyuan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- He Zhili Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA aut NATIONALLICENCE 700 1- Liu Xueduan School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 700 1- Yin Huaqun School of Minerals Processing and Bioengineering, Central South University, 410083, Changsha, China aut NATIONALLICENCE 773 0- Applied Microbiology and Biotechnology Springer Berlin Heidelberg 99/23(2015-12-01), 10311-10322 0175-7598 99:23<10311 2015 99 253