Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes

Hydrocarbon-derived pollutants are becoming one of the most concerning ecological issues. Thus, there is a need to investigate and develop innovative, low-cost, eco-friendly, and fast techniques to reduce and/or eliminate pollutants using biological agents. The study was conducted to isolate, charac...

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Main Authors: Gessesse Kebede Bekele, Solomon Abera Gebrie, Eshetu Mekonen, Tekle Tafese Fida, Adugna Abdi Woldesemayat, Ebrahim M. Abda, Mesfin Tafesse, Fasil Assefa
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Microbiology
Online Access:http://dx.doi.org/10.1155/2022/5655767
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author Gessesse Kebede Bekele
Solomon Abera Gebrie
Eshetu Mekonen
Tekle Tafese Fida
Adugna Abdi Woldesemayat
Ebrahim M. Abda
Mesfin Tafesse
Fasil Assefa
author_facet Gessesse Kebede Bekele
Solomon Abera Gebrie
Eshetu Mekonen
Tekle Tafese Fida
Adugna Abdi Woldesemayat
Ebrahim M. Abda
Mesfin Tafesse
Fasil Assefa
author_sort Gessesse Kebede Bekele
collection DOAJ
description Hydrocarbon-derived pollutants are becoming one of the most concerning ecological issues. Thus, there is a need to investigate and develop innovative, low-cost, eco-friendly, and fast techniques to reduce and/or eliminate pollutants using biological agents. The study was conducted to isolate, characterize, and identify potential diesel-degrading bacteria. Samples were collected from flower farms, lakeshores, old aged garages, asphalt, and bitumen soils and spread on selective medium (Bushnell Haas mineral salt agar) containing diesel as the growth substrate. The isolates were characterized based on their growth patterns using optical density measurement, biochemical tests, and gravimetric analysis and identified using the Biolog database and 16S rRNA gene sequencing techniques. Subsequently, six diesel degraders were identified and belong to Pseudomonas, Providencia, Roseomonas, Stenotrophomonas, Achromobacter, and Bacillus. Among these, based on gravimetric analysis, the three potent isolates AAUW23, AAUG11, and AAUG36 achieved 84%, 83.4%, and 83% diesel degradation efficiency, respectively, in 15 days. Consequently, the partial 16S rRNA gene sequences revealed that the two most potent bacterial strains (AAUW23 and AAUG11) were Pseudomonas aeruginosa, while AAUG36 was Bacillus subtilis. This study demonstrated that bacterial species isolated from hydrocarbon-contaminated and/or uncontaminated environments could be optimized to be used as potential bioremediation agents for diesel removal.
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institution Kabale University
issn 1687-9198
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publishDate 2022-01-01
publisher Wiley
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series International Journal of Microbiology
spelling doaj-art-8e04baec474f4dd4b1679b4290118d042025-02-03T06:11:19ZengWileyInternational Journal of Microbiology1687-91982022-01-01202210.1155/2022/5655767Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda LakesGessesse Kebede Bekele0Solomon Abera Gebrie1Eshetu Mekonen2Tekle Tafese Fida3Adugna Abdi Woldesemayat4Ebrahim M. Abda5Mesfin Tafesse6Fasil Assefa7Department of BiotechnologyDepartment of BiotechnologyDepartment of BiologyDepartment of BiotechnologyDepartment of BiotechnologyDepartment of BiotechnologyDepartment of BiotechnologyMicrobial,Cellular and Molecular Biology DepartmentHydrocarbon-derived pollutants are becoming one of the most concerning ecological issues. Thus, there is a need to investigate and develop innovative, low-cost, eco-friendly, and fast techniques to reduce and/or eliminate pollutants using biological agents. The study was conducted to isolate, characterize, and identify potential diesel-degrading bacteria. Samples were collected from flower farms, lakeshores, old aged garages, asphalt, and bitumen soils and spread on selective medium (Bushnell Haas mineral salt agar) containing diesel as the growth substrate. The isolates were characterized based on their growth patterns using optical density measurement, biochemical tests, and gravimetric analysis and identified using the Biolog database and 16S rRNA gene sequencing techniques. Subsequently, six diesel degraders were identified and belong to Pseudomonas, Providencia, Roseomonas, Stenotrophomonas, Achromobacter, and Bacillus. Among these, based on gravimetric analysis, the three potent isolates AAUW23, AAUG11, and AAUG36 achieved 84%, 83.4%, and 83% diesel degradation efficiency, respectively, in 15 days. Consequently, the partial 16S rRNA gene sequences revealed that the two most potent bacterial strains (AAUW23 and AAUG11) were Pseudomonas aeruginosa, while AAUG36 was Bacillus subtilis. This study demonstrated that bacterial species isolated from hydrocarbon-contaminated and/or uncontaminated environments could be optimized to be used as potential bioremediation agents for diesel removal.http://dx.doi.org/10.1155/2022/5655767
spellingShingle Gessesse Kebede Bekele
Solomon Abera Gebrie
Eshetu Mekonen
Tekle Tafese Fida
Adugna Abdi Woldesemayat
Ebrahim M. Abda
Mesfin Tafesse
Fasil Assefa
Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
International Journal of Microbiology
title Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
title_full Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
title_fullStr Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
title_full_unstemmed Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
title_short Isolation and Characterization of Diesel-Degrading Bacteria from Hydrocarbon-Contaminated Sites, Flower Farms, and Soda Lakes
title_sort isolation and characterization of diesel degrading bacteria from hydrocarbon contaminated sites flower farms and soda lakes
url http://dx.doi.org/10.1155/2022/5655767
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