Abstract
The mechanisms by which iron ore mining activities affect the surrounding rhizobacterial ecology remain unclear. This study employed 16S rRNA high-throughput sequencing to analyze the structure and function of rhizosphere bacterial communities associated with three local crops, Musa basjoo Siebold L., Triticum aestivum L., and Amygdalus persica L., in mining areas. It is noteworthy that in the iron mining area, the relative abundance of Sphingomonas and Nitrososphaeraceae in the soil has decreased. In contrast, the relative abundance of Streptomyces in the rhizosphere soil has increased due to mining activities. Pearson correlation analysis showed that the abundance of Sphingomonas is significantly positively correlated with the soil organic carbon content. Redundancy analysis (RDA) indicates that Streptomyces exhibits a significant positive correlation with soil titanium and pH content, while showing a negative correlation with iron and lead content.