生物修复
细菌
生物降解
碳氢化合物
化学
AlkB
石油
不动杆菌
富集培养
微生物学
微生物采油
微生物降解
环境化学
环境修复
食品科学
微生物
生物
有机化学
污染
生物化学
生态学
基因
大肠杆菌
遗传学
作者
Edidiong Okokon Atakpa,Hanghai Zhou,Lijia Jiang,Yinghui Ma,Yanpeng Liang,Yanhong Li,Dongdong Zhang,Chunfang Zhang
出处
期刊:Chemosphere
[Elsevier BV]
日期:2021-12-18
卷期号:290: 133337-133337
被引量:80
标识
DOI:10.1016/j.chemosphere.2021.133337
摘要
Microbial remediation has proven to be an effective technique for the cleanup of crude-oil contaminated sites. However, limited information exists on the dynamics involved in defined co-cultures of biosurfactant-producing bacteria and fungi in bioremediation processes. In this study, a fungal strain (Scedosporium sp. ZYY) capable of degrading petroleum hydrocarbons was isolated and co-cultured with biosurfactant-producing bacteria (Acinetobacter sp. Y2) to investigate their combined effect on crude-oil degradation. Results showed that the surface tension of the co-culture decreased from 63.12 to 47.58 mN m-1, indicating the secretion of biosurfactants in the culture. Meanwhile, the degradation rate of total petroleum hydrocarbon increased from 23.36% to 58.61% at the end of the 7-d incubation period. In addition, gas chromatography - mass spectrometry analysis showed a significant (P < 0.05) degradation from 3789.27 mg/L to 940.33 mg/L for n-alkanes and 1667.33 μg/L to 661.5 μg/L for polycyclic aromatic hydrocarbons. Moreover, RT-qPCR results revealed the high expression of alkB and CYP52 genes by Acinetobacter sp. Y2 and Scedosporium sp. ZYY respectively in the co-culture, which corelated positively (P < 0.01) with n-alkane removal. Finally, microbial growth assay which corresponded with Fluorescein diacetate hydrolysis activity, highlighted the synergistic behavior of both strains in tackling the crude oil. Findings in this study suggest that the combination of fungal strain and biosurfactant-producing bacteria effectively enhances the degradation of petroleum hydrocarbons, which could shed new light on the improvement of bioremediation strategies.
科研通智能强力驱动
Strongly Powered by AbleSci AI