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Dynamics of Microbial Community Structure, Function and Assembly Mechanism with Increasing Stand Age of Slash Pine (Pinus elliottii) Plantations in Houtian Sandy Area, South China

  • Microbial Ecology and Environmental Microbiology
  • Published:
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Abstract

Establishing slash pine plantations is the primary method for restoring sandification land in the Houtian area of South China. However, the microbial variation pattern with increasing stand age remains unclear. In this study, we investigated microbial community structure and function in bare sandy land and four stand age gradients, exploring ecological processes that determine their assembly. We did not observe a significant increase in the absolute abundance of bacteria or fungi with stand age. Bacterial communities were dominated by Chloroflexi, Actinobacteria, Proteobacteria, and Acidobacteria; the relative abundance of Chloroflexi significantly declined while Proteobacteria and Acidobacteria significantly increased with stand age. Fungal communities showed succession at the genus level, with Pisolithus most abundant in soils of younger stands (1- and 6-year-old). Turnover of fungal communities was primarily driven by stochastic processes; both deterministic and stochastic processes influenced the assembly of bacterial communities, with the relative importance of stochastic processes gradually increasing with stand age. Bacterial and fungal communities showed the strongest correlation with the diameter at breast height, followed by soil available phosphorus and water content. Notably, there was a significant increase in the relative abundance of functional groups involved in nitrogen fixation and uptake as stand age increased. Overall, this study highlights the important effects of slash pine stand age on microbial communities in sandy lands and suggests attention to the nitrogen and phosphorus requirements of slash pine plantations in the later stages of sandy management.

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Data Availability

All data generated or analyzed during this study are included in this published article [and its supplementary information files]. Sequences generated for this study have been made available on the NCBI Sequence Reading Archive (SRA) database with SRA accession numbers PRJNA979784 for 16S rDNA sequences and PRJNA979787 for ITS region sequences. Other data will be made available on request.

Code Availability

The software used in this study is R (version 4.1.3) and its open-source packages.

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Acknowledgements

The authors would like to thank Dr. Jennifer Smith (University of Otago) for language editing, and the two anonymous reviewers for their valuable insights and suggestions. This study was supported by grants from the National Natural Science Foundation of China (32160029), and the Foundation of Key Laboratory of Extreme Environmental Microbial Resources and Engineering, Gansu Province (EEMRE201803).

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  1. Xiaoyang Zhang and Si-Yi Xiong contributed equally to this work.

Authors and Affiliations

  1. Jiangxi Agricultural University, Nanchang, 330045, People’s Republic of China

    Xiaoyang Zhang, Si-Yi Xiong, Bei-Bei Zeng, Yang-Mei Mo, Qi Wei, Yang Gao, Licao Cui, Jianping Liu & Haozhi Long

  2. Key Laboratory of Extreme Environmental Microbial Resources and Engineering, Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, People’s Republic of China

    Xiukun Wu & Haozhi Long

  3. Jiangxi Key Laboratory for Conservation and Utilization of Fungal Resources, Jiangxi Agricultural University, Nanchang, 330045, People’s Republic of China

    Haozhi Long

  4. Jiujiang Agricultural Technology Extension Centre, Jiujiang, 332000, People’s Republic of China

    Xiaoyang Zhang

  5. The High School Attached to Jiangnxi Normal University, Nanchang, 330000, People’s Republic of China

    Zhi-Cheng Deng

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Contributions

XZ and SYX conceived and designed the study with the help of HL and YG; XZ, SYX, QW, BBZ, YMM, and ZCD performed the experiments; XZ, SYX, XW, and HL analyzed the data, and XZ drafted the manuscript; LC, JL, and HL helped to revise the manuscript.

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Correspondence to Haozhi Long.

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Zhang, X., Xiong, SY., Wu, X. et al. Dynamics of Microbial Community Structure, Function and Assembly Mechanism with Increasing Stand Age of Slash Pine (Pinus elliottii) Plantations in Houtian Sandy Area, South China. J Microbiol. 61, 953–966 (2023). https://doi.org/10.1007/s12275-023-00089-7

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