厚壁菌
草原
蛋白质细菌
放线菌门
生态学
镉
环境化学
Mercury(编程语言)
微生物种群生物学
相对物种丰度
丰度(生态学)
生物
化学
细菌
遗传学
16S核糖体RNA
有机化学
计算机科学
程序设计语言
作者
Ran Qi,Nana Xue,Shuzhi Wang,Xiaobing Zhou,Li Zhao,Wenjuan Song,Yuyi Yang
标识
DOI:10.1016/j.envres.2022.113749
摘要
Gold mining can create serious environmental problems, such as soil pollution by heavy metal (loid)s. In this study, we assessed the ecological risk of Hatu gold mining activities and synchronously investigated the bacterial community structure, distribution of soil nutrient-element cycling genes (CNPS) and heavy metal resistance genes (MRG) in adjacent desert grassland soil. The study area was above the moderate risk level, with the ecological risk index (RI) of each sampling site greater than 150. Arsenic, mercury and copper were the main pollutants. Proteobacteria, Actinobacteria and Firmicutes dominated the phyla of the bacterial communities. Species turnover rather than nestedness accounted for the significant differences in community structure among various regions in the mining area. In addition, the bioavailable heavy metal (loid)s (AHM) content had a strong correlation with beta diversity and species turnover of the bacterial community (p < 0.05). No clear difference was found in the total abundance of CNPS genes among various functional regions, but eight specific functional genes were identified from downwind grasslands with lower pollution levels. Among the MRGs, Hg MRG had the highest average total relative abundance, followed by Cu, Co/Zn/Cd and As. The mercury resistance gene subtype hgcAB was positively related to the diversity of the bacterial community, and the bacterial community of grassland soil showed congruency with the MRGs in the Hatu mining area. Total Hg (THg) showed the highest influence affecting the bacterial community, while NH4+-N had the greatest effect on CNPS genes and MRGs. These results highlighted the role of heavy metal (loid)s in shaping the bacterial community and functional genes in arid and semiarid desert grassland soil in gold mining regions.
科研通智能强力驱动
Strongly Powered by AbleSci AI