Isolation, Molecular and Biochemical Identification of Paraoxon-Metabolizing Pseudomonas Species | OMICS International | Abstract
ISSN: 2155-6199

Journal of Bioremediation & Biodegradation
Open Access

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Research Article

Isolation, Molecular and Biochemical Identification of Paraoxon-Metabolizing Pseudomonas Species

Rupa Iyer*, Brian Iken and Tim Tamez

Center for Life Sciences Technology, University of Houston, 385 Technology Building, Houston, Texas 77204, USA.

*Corresponding Author:
Dr. Rupa Iyer
Center for Life Sciences Technology
University of Houston
385 Technology Building, Houston, TX77204, USA
Tel: 713-743-0099
E-mail: [email protected]

Received Spetember 23, 2011; Accepted November 19, 2011; Published November 21, 2011

Citation:Iyer R, Iken B, Tamez T (2011) Isolation, Molecular and Biochemical Identification of Paraoxon-Metabolizing Pseudomonas Species. J Bioremed Biodegrad 2:132. doi: 10.4172/2155-6199.1000132

Copyright: © 2011 Iyer R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Seven soil borne bacterial isolates were collected from locations throughout the Houston metropolitan area. All isolatesproved capable of degrading the pesticide paraoxon to p-nitrophenol in carbon limited media and showed a high degree of tolerance to an environment exposed to increasing concentrations of the pesticide. A combination of 16S rRNA sequencing and fatty acid methyl ester analysis (FAME) analysis was used to identify the unknown bacterial species. Universal bacterial primers were used for 16S rRNA analysis to tentatively identify all seven isolates as species belonging to the genus Pseudomonas. Sequencing results coupled with FAME analysis resolved the species identity of the seven isolates as either Pseudomonas aeruginosa or Pseudomonas putida. The results of this study demonstrate that a combination of molecular and biochemical analysis provide sufficient resolution to identify paraoxon degrading microbial populations.


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