Guizhou Academy of Tobacco Sciences, Guiyang, 550011, China.
School of Minerals Processing and Bioengineering, Key Laboratory of Biohydrometallurgy of Ministry of Education, Central South University, South Lushan Road 932, Changsha, 410083, China.
Environ Sci Pollut Res Int. 2024 Aug;31(37):49575-49588. doi: 10.1007/s11356-024-34506-0. Epub 2024 Jul 30.
The heavy metal contamination in river and lake sediments endangers aquatic ecosystems. Herein, the feasibility of applying different exogenous mesophile consortiums in bioleaching multiple heavy metal-contaminated sediments from Xiangjiang River was investigated, and a comprehensive functional gene array (GeoChip 5.0) was used to analyze the functional gene expression to reveal the intrinsic association between metal solubilization efficiency and consortium structure. Among four consortiums, the Acidithiobacillus thiooxidans and Leptospirillum ferrooxidans consortium had the highest solubilization efficiencies of Cu, Pb, Zn, and Cd after 15 days, reaching 50.33, 29.93, 47.49, and 79.65%, while Cu, Pb, and Hg had the highest solubilization efficiencies after 30 days, reaching 63.67, 45.33, and 52.07%. Geochip analysis revealed that 31,346 genes involved in different biogeochemical processes had been detected, and the systems of 15 days had lower proportions of unique genes than those of 30 days. Samples from the same stage had more genes overlapping with each other than those from different stages. Plentiful metal-resistant and organic remediation genes were also detected, which means the metal detoxification and organic pollutant degradation had happened with the bioleaching process. The Mantel test revealed that Pb, Zn, As, Cd, and Hg solubilized from sediment influenced the structure of expressed microbial functional genes during bioleaching. This work employed GeoChip to demonstrate the intrinsic association between functional gene expression of mesophile consortiums and the bioleaching efficiency of heavy metal-contaminated sediment, and it provides a good reference for future microbial consortium design and remediation of river and lake sediments.
湘江多金属污染底泥的生物淋滤修复及其功能基因解析
重金属污染河流和湖泊沉积物会危害水生生态系统。本研究旨在探讨不同外源常温微生物菌剂在生物淋滤湘江多金属污染底泥中的可行性,并采用全功能基因芯片(GeoChip 5.0)分析功能基因表达,以揭示金属溶出效率与菌群结构之间的内在关联。在四种菌剂中,经过 15 天的培养,氧化亚铁硫杆菌(Thiobacillus ferrooxidans)和氧化硫硫杆菌(Leptospirillum ferrooxidans)的混合菌剂对 Cu、Pb、Zn 和 Cd 的溶出效率最高,分别达到 50.33%、29.93%、47.49%和 79.65%;而经过 30 天的培养,Cu、Pb 和 Hg 的溶出效率最高,分别达到 63.67%、45.33%和 52.07%。GeoChip 分析表明,共检测到 31346 个参与不同生物地球化学过程的基因,培养 15 天的系统中独特基因的比例低于 30 天的系统。同一阶段的样本比不同阶段的样本有更多的基因重叠。还检测到大量的金属抗性和有机修复基因,这意味着生物淋滤过程中发生了金属解毒和有机污染物降解。Mantel 检验表明,从底泥中溶出的 Pb、Zn、As、Cd 和 Hg 影响了生物淋滤过程中表达微生物功能基因的结构。本研究利用 GeoChip 证明了常温微生物菌群功能基因表达与多金属污染底泥生物淋滤效率之间的内在关联,为未来微生物菌群设计和河流湖泊底泥修复提供了良好的参考。