Biodiv Sci ›› 2022, Vol. 30 ›› Issue (7): 22245.  DOI: 10.17520/biods.2022245

Special Issue: 土壤生物与土壤健康

• Original Papers: Microbial Diversity • Previous Articles     Next Articles

Soil bacterial diversity and function in semi-arid forest parks in Baotou City

Xuan Zhang1, Wei Du2, Ying Xu1, Yonglong Wang1,*()   

  1. 1. Faculty of Biological Science and Technology, Baotou Teacher’s College, Baotou, Inner Mongolia 014030
    2. I & Earth Ecology Environment Co., Ltd, Beijing 100101
  • Received:2022-05-05 Accepted:2022-06-15 Online:2022-07-20 Published:2022-07-07
  • Contact: Yonglong Wang


Aim: Soil microorganisms are the main drivers of material cycling in urban park ecosystems, but there are few studies on the structure and function of forest soil bacterial communities in semi-arid urban parks.
Methods: In this study, three typical forest parks, Olympic Park (AL), Laodong Park (LD) and Aerding Botanical Garden (ZW) in Baotou City were selected, and the bacterial 16S rRNA V4-V5 regions were sequenced using Illumina high-throughput sequencing techniques to analyze the diversity, community composition and the mechanism underlying community assembly of bacteria. The metabolic functions of the bacterial community were also analyzed using Tax4Fun.
Results: The results showed that soil bacterial richness index were LD (2,443.00 ± 9.37) > ZW (2,392.90 ± 8.23) > AL (2,305.57 ± 17.48). Actinobacteriota, Proteobacteria, Acidobacteriota, Chloroflexi, and Gemmatimonadota were the dominant phyla. Bacterial community composition differed significantly among the three parks, and linear discriminant analysis effect size (LEfSe) results indicated that all parks harbored significant opertational taxonomic units in abundance. The neutral community model (NCM), normalized stochasticity ratio (NST), and the infer community assembly mechanisms by phylogenetic-bin-based null model analysis (iCAMP) showed that community assembly of bacteria in urban forests was determined by the combination of stochastic and deterministic processes, with drift and homogeneous selection being the dominant ecological processes. The results of Tax4Fun functional prediction indicated that metabolism involving membrane transport, carbohydrate metabolism, amino acid metabolism, energy metabolism and signal transduction were the main metabolic functions of soil bacteria in these urban parks, and further analysis showed that the metabolic functions of microbial communities differed across parks.
Conclusion: Our study investigated preliminarily the diversities, community assembly mechanisms and functions of bacteria in the semi-arid urban parks, which could provide basic data and scientific basis for urban park green space construction and ecological improvement.

Key words: semi-arid city, park understory soil, bacterial community, construction mechanism, function prediction