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Microbial Community Structure and Predictive Functional Analysis in Reclaimed Soil with Different Vegetation Types: The Example of the Xiaoyi Mine Waste Dump in Shanxi

Author

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  • Dong Zhao

    (Science and Technology and Foreign Exchange and Cooperation Division, Jiangsu Provincial Natural Resources Department, Nanjing 210017, China)

  • Huping Hou

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China)

  • Haiya Liu

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Chen Wang

    (Observation and Research Station of Ecological Restoration for Chongqing Typical Mining Areas, Ministry of Natural Resources, Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China)

  • Zhongyi Ding

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Jinting Xiong

    (School of Environment Science & Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

We explored the characteristics of soil bacterial communities and their ecological functions under different types of vegetation reclamation in open-pit mines on the Loess Plateau, which is the guiding significance for the selection of vegetation and the improvement of restoration effect in mining areas. The research object was to reclaim the soil of the aluminum mine waste dump in Xiaoyi County, Shanxi. The soil characteristics were measured under different types of vegetation reclamation. The soil bacterial community under different vegetation reclamation was measured using the 16S rRNA gene high-throughput sequencing technology. The ecological function was predicted using the PICRUSt method. The correlation between soil physical and chemical properties and bacterial community structure and function was analyzed. From the results, (1) the bacterial compositions of the reclaimed soil samples were 33 phyla, 90 classes, 121 orders, 207 families, 298 genera, and 140 species. The abundance and diversity of the soil microbial community showed the rule of yellow rose > lespedeza and sweet wormwood herb > alfalfa. (2) Proteobacteria were the dominant bacteria in alfalfa and sweet wormwood herb samples, accounting for 36.09–43.36%. Proteobacteria and actinobacteria were the dominant bacteria in the yellow rose and lespedeza samples accounted for 53.34–53.39%. α-Proteobacteria, actinobacteria, and β-proteobacteria were the dominant bacteria of the four vegetation types. The relative abundance of the α-proteobacteria and β-proteobacteria was positively correlated with soil organic carbon (SOC) and negatively correlated with soil total kalium (TK). Actinobacteria were positively correlated with available kalium (AK) and negatively correlated with SOC and total nitrogen (TN). (3) There was no difference in the primary functions of the soil bacterial community after the reclamation of different plants, and the main functions were metabolism, genetic information processing, and environmental information processing, with the function abundance accounting for 81.52%. (4) The abundance of functional genes in the metabolism of other amino acids, folding, sorting, and degradation and glycan biosynthesis and metabolism were relatively rich in the rhizosphere soil of yellow rose. The abundance of functional genes in signal molecules and interaction, transport, and catabolism in the rhizosphere soil of lespedeza was the highest. The abundance of functional genes in carbohydrate metabolism, translation, and energy metabolism in the rhizosphere soil of alfalfa was the highest. Therefore, there were significant differences in the structure and function of rhizosphere soil microbial communities among yellow rose, lespedeza, sweet wormwood herb, and alfalfa, and they were also affected by the soil properties. Hence, we concluded that the differences and diversity of soil microbial structure and function can help select plants for the sustainable development of soil remediation in mining areas.

Suggested Citation

  • Dong Zhao & Huping Hou & Haiya Liu & Chen Wang & Zhongyi Ding & Jinting Xiong, 2023. "Microbial Community Structure and Predictive Functional Analysis in Reclaimed Soil with Different Vegetation Types: The Example of the Xiaoyi Mine Waste Dump in Shanxi," Land, MDPI, vol. 12(2), pages 1-14, February.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:456-:d:1065150
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    References listed on IDEAS

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    1. Huping Hou & Chen Wang & Zhongyi Ding & Shaoliang Zhang & Yongjun Yang & Jing Ma & Fu Chen & Jinrong Li, 2018. "Variation in the Soil Microbial Community of Reclaimed Land over Different Reclamation Periods," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    2. Mohammad Bahram & Falk Hildebrand & Sofia K. Forslund & Jennifer L. Anderson & Nadejda A. Soudzilovskaia & Peter M. Bodegom & Johan Bengtsson-Palme & Sten Anslan & Luis Pedro Coelho & Helery Harend & , 2018. "Structure and function of the global topsoil microbiome," Nature, Nature, vol. 560(7717), pages 233-237, August.
    3. Menghua Wang & Xuedong Liang & Zhi Li, 2021. "Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain," Land, MDPI, vol. 10(11), pages 1-22, November.
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    1. Lyudmila S. Malyukova & Nikita V. Martyushev & Valeriya Valerievna Tynchenko & Viktor V. Kondratiev & Vladimir V. Bukhtoyarov & Vladimir Yu. Konyukhov & Kirill Aleksandrovich Bashmur & Tatyana Aleksan, 2023. "Circular Mining Wastes Management for Sustainable Production of Camellia sinensis (L.) O. Kuntze," Sustainability, MDPI, vol. 15(15), pages 1-17, July.

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