Engineering Research Center of Biomass Materials, Ministry of Education, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China.
College of Chemistry and Chemical Engineering, Qiqihar University Qiqihar, Heilongjiang, 161006, China.
Appl Microbiol Biotechnol. 2016 Jan;100(1):299-310. doi: 10.1007/s00253-015-7003-5. Epub 2015 Oct 3.
Uranium tailing is a serious pollution challenge for the environment. Based on metagenomic sequencing analysis, we explored the functional and structural diversity of the microbial community in six soil samples taken at different soil depths from uranium-contaminated and uncontaminated areas. Kyoto Encyclopedia of Genes and Genomes Orthology (KO) groups were obtained using a Basic Local Alignment Search Tool search based on the universal protein resource database. The KO-pathway network was then constructed using the selected KOs. Finally, alpha and beta diversity analyses were performed to explore the differences in soil bacterial diversity between the radioactive soil and uncontaminated soil. In total, 30-68 million high-quality reads were obtained. Sequence assembly yielded 286,615 contigs; and these contigs mostly annotated to 1699 KOs. The KO distributions were similar among the six soil samples. Moreover, the proportion of the metabolism of other amino acids (e.g., beta-alanine, taurine, and hypotaurine) and signal transduction was significantly lower in radioactive soil than in uncontaminated soil, whereas the proportion of membrane transport and carbohydrate metabolism was higher. Additionally, KOs were mostly enriched in ATP-binding cassette transporters and two-component systems. According to diversity analyses, Actinobacteria and Proteobacteria were the dominant phyla in radioactive and uncontaminated soil, and Robiginitalea, Microlunatus, and Alicyclobacillus were the dominant genera in radioactive soil. Taken together, these results demonstrate that soil microbial community, structure, and functions show significant changes in uranium-contaminated soil. The dominant categories such as Actinobacteria and Proteobacteria may be applied in environmental governance for uranium-contaminated soil in southern China.
铀尾矿是环境面临的严重污染挑战。基于宏基因组测序分析，我们探索了取自铀污染和未污染地区不同土壤深度的六个土壤样本中微生物群落的功能和结构多样性。京都基因与基因组百科全书 Orthology (KO) 组使用基于通用蛋白质资源数据库的基本局部比对搜索工具搜索获得。然后使用选定的 KO 构建 KO 途径网络。最后，进行 alpha 和 beta 多样性分析，以探索放射性土壤和未污染土壤中土壤细菌多样性的差异。总共获得了 3000 万到 6800 万条高质量reads。序列组装产生了 286615 个 contigs；这些 contigs 主要注释到 1699 个 KO。六个土壤样本中的 KO 分布相似。此外，放射性土壤中其他氨基酸（如β-丙氨酸、牛磺酸和次牛磺酸）和信号转导的代谢比例明显低于未污染土壤，而膜转运和碳水化合物代谢的比例较高。此外，KO 主要富集在 ATP 结合盒转运蛋白和双组分系统中。根据多样性分析，放线菌门和变形菌门是放射性和未污染土壤中的优势门，而放射性土壤中的优势属为 Robiginitalea、Microlunatus 和 Alicyclobacillus。综上所述，这些结果表明，铀污染土壤中的土壤微生物群落、结构和功能发生了显著变化。优势类群如放线菌门和变形菌门可能应用于中国南方铀污染土壤的环境治理。
