Evaluation of the ecological restoration of a coal mine dump by exploring the characteristics of microbial communities

被引:59
作者
Chen, Jin [1 ]
Mo, Li [1 ]
Zhang, Zhechao [2 ]
Nan, Ji [1 ]
Xu, Daolong [1 ]
Chao, Lumeng [1 ]
Zhang, Xiaodong [1 ]
Bao, Yuying [1 ]
机构
[1] Inner Mongolia Univ, Sch Life Sci, Minist Educ, Key Lab Forage & Endem Crop Biotechnol, Hohhot 010021, Peoples R China
[2] Inner Mongolia Univ, Sch Ecol & Environm, Minist Educ, Key Lab Ecol & Resource Use Mongolian Plateau, Hohhot 010021, Peoples R China
基金
中国国家自然科学基金;
关键词
Ecological restoration; Illumina MiSeq high-throughput sequencing; Molecular ecological networks analysis; Redundancy analysis; Structural equation model; Bioindicator; BACTERIAL COMMUNITY; CARBON; DIVERSITY; ABUNDANCE; LAND; LIFE;
D O I
10.1016/j.apsoil.2019.103430
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Ecological restoration of coal mine dumps has become a key factor in maintaining ecosystem health. Despite widespread recognition of its importance, relatively few studies have evaluated the effects of restoration. Accordingly, in this study, we investigated the characteristics of microbial communities from a coal mine dump using Illumina MiSeq high-throughput sequencing. We evaluated the differences in microbial communities among six different sites with regard to abundance, structural diversity, and multifunctionality. Linear discriminant analysis (LDA) effect size (LEfSe) showed that several species exhibited significant differences in between-habitat diversity as biomarkers. Three generalists, i.e., Nitrosomonadaceae, Rhizobiales, and Acidimicrobiales, were identified using molecular ecological networks analysis. Redundancy analysis and structural equation modeling showed that microbial communities were closely related to environmental factors. Overall, our findings established a reliable method for identifying bioindicators during the ecological restoration of coal mine dumps and suggested that appropriate manual maintenance improved restoration efforts.
引用
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页数:9
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