Mechanisms underlying the succession of plant rhizosphere microbial community structure and function in an alpine open-pit coal mining disturbance zone

被引:21
作者
Wang, Hengfang [1 ,2 ]
Liu, Honglin [3 ,4 ]
Yang, Tianhong [5 ]
Lv, Guanghui [1 ,2 ]
Li, Wenjing [1 ,2 ]
Chen, Yuncai [3 ,4 ]
Wu, Deyan [1 ,2 ]
机构
[1] Xinjiang Univ, Coll Ecol & Environm, Urumqi 830017, Peoples R China
[2] Xinjiang Univ, Key Lab Oasis Ecol, Minist Educ, Urumqi 830017, Peoples R China
[3] Xinjiang Univ, Sch Geol & Min Engn, Urumqi 830017, Peoples R China
[4] Key Lab Environm Protect Min Mineral Resources, Univ Educ, Dept Xinjiang Uygur Autonomous Reg, Urumqi 830017, Xinjiang, Peoples R China
[5] Northeastern Univ, Sch Resources & Civil Engn, Boston 110004, Peoples R China
基金
中国国家自然科学基金;
关键词
Rhizosphere effect; Microbial community composition; Phosphorus and nitrogen metabolism; Mining disturbance; Succession; Open -pit coal mining; SOIL; ECOLOGY; IDENTIFICATION; VEGETATION; BACTERIA; ARCHAEA; CARBON;
D O I
10.1016/j.jenvman.2022.116571
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Elucidating the responses and potential functions of soil microbial communities during succession is important for understanding biogeochemical processes and the sustainable development of plant communities after environmental disturbances. However, studies of such dynamics during post-mining ecological restoration in alpine areas remain poorly understood. Microbial diversity, nitrogen, and phosphorus cycle functional gene potential in the Heishan mining area of Northwest China was studied, including primitive succession, secondary succession, and artificial succession disturbed by mining. The results revealed that: (1) The dominant bacteria in both categories (non-remediated and ecologically restored) of mining area rhizosphere soil were Proteobacteria, adopting the r strategy, whereas in naturally occurring soil outside the mining area, the dominant bacteria were actinomycetes and Acidobacteria, adopting the k strategy. Notably, mining perturbation significantly reduced the relative abundance of archaea. (2) After restoration, more bacterial network node connections were observed in mining areas than were originally present, whereas the archaeal network showed the opposite trend. (3) The networks of microbial genes related to nitrogen and phosphorus cycle potential differed significantly, depending on the succession type. Namely, prior to restoration, there were more phosphorus related functional gene network connections; these were also more strongly correlated, and the network was more aggregated. (4) Soil factors such as pH and NO3-N affected both the mining area remediation soil and the soil outside the mining area, but did not affect the soil of the original vegetation in the mining area. The changes in the structure and function of plant rhizosphere microorganisms after mining disturbance can provide a theoretical basis for the natural restoration of mining areas.
引用
收藏
页数:9
相关论文
共 62 条
[51]   Plant-soil feedbacks: the past, the present and future challenges [J].
van der Putten, Wim H. ;
Bardgett, Richard D. ;
Bever, James D. ;
Bezemer, T. Martijn ;
Casper, Brenda B. ;
Fukami, Tadashi ;
Kardol, Paul ;
Klironomos, John N. ;
Kulmatiski, Andrew ;
Schweitzer, Jennifer A. ;
Suding, Katherine N. ;
Van de Voorde, Tess F. J. ;
Wardle, David A. .
JOURNAL OF ECOLOGY, 2013, 101 (02) :265-276
[52]   Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning [J].
Wagg, Cameron ;
Schlaeppi, Klaus ;
Banerjee, Samiran ;
Kuramae, Eiko E. ;
van der Heijden, Marcel G. A. .
NATURE COMMUNICATIONS, 2019, 10 (1)
[53]   Ecological linkages between aboveground and belowground biota [J].
Wardle, DA ;
Bardgett, RD ;
Klironomos, JN ;
Setälä, H ;
van der Putten, WH ;
Wall, DH .
SCIENCE, 2004, 304 (5677) :1629-1633
[54]  
Wickham H., 2016, Ggplot2: Elegant Graphics for Data Analysis, DOI DOI 10.1007/978-3-319-24277-4
[55]   Soil bacterial community functions and distribution after mining disturbance [J].
Xiao, Enzong ;
Ning, Zengping ;
Xiao, Tangfu ;
Sun, Weimin ;
Jiang, Shiming .
SOIL BIOLOGY & BIOCHEMISTRY, 2021, 157
[56]   KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases [J].
Xie, Chen ;
Mao, Xizeng ;
Huang, Jiaju ;
Ding, Yang ;
Wu, Jianmin ;
Dong, Shan ;
Kong, Lei ;
Gao, Ge ;
Li, Chuan-Yun ;
Wei, Liping .
NUCLEIC ACIDS RESEARCH, 2011, 39 :W316-W322
[57]  
[徐建宇 Xu Jianyu], 2019, [微生物学通报, Microbiology China], V46, P879
[58]   Soil bacteria and archaea change rapidly in the first century of Fennoscandian boreal forest development [J].
Yarwood, Stephanie A. ;
Hogberg, Mona N. .
SOIL BIOLOGY & BIOCHEMISTRY, 2017, 114 :160-167
[59]   Soil bacterial community response to vegetation succession after fencing in the grassland of China [J].
Zeng, Quanchao ;
An, Shaoshan ;
Liu, Yang .
SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 609 :2-10
[60]   Network analysis reveals the strengthening of microbial interaction in biological soil crust development in the Mu Us Sandy Land, northwestern China [J].
Zhou, Hong ;
Gao, Ying ;
Jia, Xiaohong ;
Wang, Mengmeng ;
Ding, Junjun ;
Cheng, Long ;
Bao, Fang ;
Wu, Bo .
SOIL BIOLOGY & BIOCHEMISTRY, 2020, 144