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本地石油降解细菌在土壤生物修复中比微生物群落更高效,甚至在超油饱和土壤中也具有活性。

Indigenous oil-degrading bacteria more efficient in soil bioremediation than microbial consortium and active even in super oil-saturated soils.

作者信息

Ali Nedaa, Khanafer Majida, Al-Awadhi Husain

机构信息

Microbiology Program, Department of Biological Sciences, Faculty of Science, Kuwait University, Kuwait City, Kuwait.

出版信息

Front Microbiol. 2022 Aug 1;13:950051. doi: 10.3389/fmicb.2022.950051. eCollection 2022.

Abstract

A microbial consortium of the hydrocarbonoclastic bacterial species, comprising , and , isolated from oil-saturated desert soil did not consume more oil in batch cultures than the individual species with the maximum oil consumption. In oil-polluted desert soil microcosms, the rate of oil removal in the soil samples bioaugmented with the microbial consortium was similar to the rate of oil removal in the unbioaugmented ones through a 6-month bioremediation experiment. Although the composition of hydrocarbonoclastic bacterial communities in the unbioaugmented and bioaugmented soil samples was different, the predominant bacterial species during most of the months were the same. Toward the end of the bioremediation experiment, prevailed in both soil samples, suggesting its important role in oil removal. Self-cleaning proceeded in desert soil samples artificially polluted with 1, 10, 20, and 30% of crude oil and incubated at 30 °C for 6 months. Oil was removed effectively at rates reaching 73.6 and 69.3% in the soils polluted with 1 and 10% oil concentrations, respectively, and reached 50% in desert soils polluted with 20 and 30% oil concentrations. The bacterial numbers increased in all soil samples from hundreds of thousands per gram of soil samples at time zero to millions and tens of millions per gram of soil samples after 6 months. It was concluded that bioaugmenting oil-polluted soil samples with microbial consortium of hydrocarbonoclastic bacterial species with high oil removal potential did not drastically enhance oil bioremediation and that even in super oil-saturated soils, indigenous oil-degrading bacteria will prevail and effectively contribute to oil removal from the surrounding environment.

摘要

从富含石油的沙漠土壤中分离出的由解烃细菌物种组成的微生物群落,包括[具体物种1]、[具体物种2]和[具体物种3],在分批培养中消耗的石油并不比耗油量最大的单个物种多。在石油污染的沙漠土壤微观世界中,通过为期6个月的生物修复实验,用该微生物群落进行生物强化的土壤样品中的石油去除率与未进行生物强化的土壤样品中的石油去除率相似。尽管未进行生物强化和进行生物强化的土壤样品中解烃细菌群落的组成不同,但在大多数月份中占主导地位的细菌物种是相同的。在生物修复实验接近尾声时,[具体细菌物种]在两个土壤样品中均占优势,表明其在石油去除中发挥着重要作用。在人为污染了1%、10%、20%和30%原油并在30℃下孵育6个月的沙漠土壤样品中,自净过程得以进行。在含油浓度为1%和10%的土壤中,石油分别以73.6%和69.3%的去除率被有效去除,在含油浓度为20%和30%的沙漠土壤中,石油去除率达到50%。所有土壤样品中的细菌数量从零时每克土壤样品中的数十万增加到6个月后的每克土壤样品中的数百万和数千万。得出的结论是,用具有高石油去除潜力的解烃细菌物种的微生物群落对石油污染的土壤样品进行生物强化并不能显著提高石油生物修复效果,而且即使在超富油饱和土壤中,本地的石油降解细菌也将占主导地位并有效地促进从周围环境中去除石油。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d50/9376284/4639b9e927ad/fmicb-13-950051-g0001.jpg

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本文引用的文献

1
Advances in research on petroleum biodegradability in soil.
Environ Sci Process Impacts. 2021 Feb 4;23(1):9-27. doi: 10.1039/d0em00370k.
2
Self-cleaning of very heavily oil-polluted sites proceeds even under heavy-metal stress while involved bacteria exhibit bizarre pleomorphism.
Ecotoxicol Environ Saf. 2020 Sep 1;200:110717. doi: 10.1016/j.ecoenv.2020.110717. Epub 2020 May 22.
4
Bioremediation of soils saturated with spilled crude oil.
Sci Rep. 2020 Jan 24;10(1):1116. doi: 10.1038/s41598-019-57224-x.
7
Adsorptive bioremediation of soil highly contaminated with crude oil.
Sci Total Environ. 2020 Mar 1;706:135739. doi: 10.1016/j.scitotenv.2019.135739. Epub 2019 Nov 25.
9
10
Biodegradation of phenanthrene by biodemulsifier-producing strain Achromobacter sp. LH-1 and the study on its metabolisms and fermentation kinetics.
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