Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach
In classical microbiology, developing a high-efficiency bacterial consortium is a great challenge for faster biodegradation of petroleum contaminants. In this study, a systematic experimental and mathematical procedure was adopted to establish a bacterial consortium for the effective biodegradation...
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oai:doaj.org-article:2a72974fe6c04e0bbefde1fcfb186b632021-11-25T19:16:45ZEstablishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach10.3390/w132233112073-4441https://doaj.org/article/2a72974fe6c04e0bbefde1fcfb186b632021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3311https://doaj.org/toc/2073-4441In classical microbiology, developing a high-efficiency bacterial consortium is a great challenge for faster biodegradation of petroleum contaminants. In this study, a systematic experimental and mathematical procedure was adopted to establish a bacterial consortium for the effective biodegradation of heavy oil constituents. A total of 27 bacterial consortia were established as per orthogonal experiments, using 8 petroleum-degrading bacterial strains. These bacteria were closer phylogenetic relatives of <i>Brevundimonas</i> sp. Tibet-IX23 (Y1), <i>Bacillus</i> <i>firmus</i> YHSA15, <i>B. cereus</i> MTCC 9817, <i>B. aquimaris</i> AT8 (Y2, Y6 and Y7), <i>Pseudomonas</i> <i>alcaligenes</i> NBRC (Y3), <i>Microbacterium</i> <i>oxydans</i> CV8.4 (Y4), <i>Rhodococcus</i> <i>erythropolis</i> SBUG 2052 (Y5), and <i>Planococcus</i> sp. Tibet-IX21 (Y8), and were used in different combinations. Partial correlation analysis and a general linear model hereafter were applied to investigate interspecific relationships among different strains and consortia. The Y1 bacterial species showed a remarkable synergy, whereas Y3, Y4, and Y6 displayed a strong antagonism in all consortia. Inoculation ratios of different strains significantly influenced biodegradation. An optimal consortium was constructed with Y1, Y2, Y5, Y7, and Y8, which revealed maximum degradation of 11.238 mg/mL OD<sub>600</sub> for oil contaminants. This study provides a line of evidence that a functional consortium can be established by mathematical models for improved bioremediation of petroleum-contaminated environment.Baichun WuJingmin DengHao NiuJiahao LiangMuhammad ArslanMohamed Gamal El-DinQinghong WangShaohui GuoChunmao ChenMDPI AGarticlebiodegradationbacterial consortiummathematical methodologypetroleum contaminantsHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3311, p 3311 (2021) |
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biodegradation bacterial consortium mathematical methodology petroleum contaminants Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
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biodegradation bacterial consortium mathematical methodology petroleum contaminants Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Baichun Wu Jingmin Deng Hao Niu Jiahao Liang Muhammad Arslan Mohamed Gamal El-Din Qinghong Wang Shaohui Guo Chunmao Chen Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
description |
In classical microbiology, developing a high-efficiency bacterial consortium is a great challenge for faster biodegradation of petroleum contaminants. In this study, a systematic experimental and mathematical procedure was adopted to establish a bacterial consortium for the effective biodegradation of heavy oil constituents. A total of 27 bacterial consortia were established as per orthogonal experiments, using 8 petroleum-degrading bacterial strains. These bacteria were closer phylogenetic relatives of <i>Brevundimonas</i> sp. Tibet-IX23 (Y1), <i>Bacillus</i> <i>firmus</i> YHSA15, <i>B. cereus</i> MTCC 9817, <i>B. aquimaris</i> AT8 (Y2, Y6 and Y7), <i>Pseudomonas</i> <i>alcaligenes</i> NBRC (Y3), <i>Microbacterium</i> <i>oxydans</i> CV8.4 (Y4), <i>Rhodococcus</i> <i>erythropolis</i> SBUG 2052 (Y5), and <i>Planococcus</i> sp. Tibet-IX21 (Y8), and were used in different combinations. Partial correlation analysis and a general linear model hereafter were applied to investigate interspecific relationships among different strains and consortia. The Y1 bacterial species showed a remarkable synergy, whereas Y3, Y4, and Y6 displayed a strong antagonism in all consortia. Inoculation ratios of different strains significantly influenced biodegradation. An optimal consortium was constructed with Y1, Y2, Y5, Y7, and Y8, which revealed maximum degradation of 11.238 mg/mL OD<sub>600</sub> for oil contaminants. This study provides a line of evidence that a functional consortium can be established by mathematical models for improved bioremediation of petroleum-contaminated environment. |
format |
article |
author |
Baichun Wu Jingmin Deng Hao Niu Jiahao Liang Muhammad Arslan Mohamed Gamal El-Din Qinghong Wang Shaohui Guo Chunmao Chen |
author_facet |
Baichun Wu Jingmin Deng Hao Niu Jiahao Liang Muhammad Arslan Mohamed Gamal El-Din Qinghong Wang Shaohui Guo Chunmao Chen |
author_sort |
Baichun Wu |
title |
Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
title_short |
Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
title_full |
Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
title_fullStr |
Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
title_full_unstemmed |
Establishing and Optimizing a Bacterial Consortia for Effective Biodegradation of Petroleum Contaminants: Advancing Classical Microbiology via Experimental and Mathematical Approach |
title_sort |
establishing and optimizing a bacterial consortia for effective biodegradation of petroleum contaminants: advancing classical microbiology via experimental and mathematical approach |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/2a72974fe6c04e0bbefde1fcfb186b63 |
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