Biodegradation of ceftriaxone in soil using dioxygenase-producing genetically engineered Pseudomonas putida

Abstract

In this study, the degradability of the antibiotic Ceftriaxone was investigated with the help of genetically engineered Pseudomonas putida, in which the gene producing the enzyme catechol 2 and 3 dioxygenase was designed and then inserted into the pUC18 plasmid and replicated by E. coli. It was purified and extracted and transformed into Pseudomonas putida. Finally, the degradation rate of Ceftriaxone by this bacterium in spiked soil was evaluated using the HPLC measurement technique. Finally, the kinetics of Ceftriaxone degradation by genetically engineered Pseudomonas putida was investigated using zero, first, and second –order kinetic models for all factors. The results of HPLC measurement showed that the biodegradation of ceftriaxone in spiked soil was significant by genetically engineered P. putida compared to autoclaved soil inoculated by wild P. putida and normal soil with normal microbial flora (p < 0.001) and this bacterium was able to degrade ceftriaxone by 69.53% and kinetic modeling showed that the rate of removal by genetically engineered Pseudomonas putida follows the zero-degree reaction model. These findings indicate that Pseudomonas putida, which produces Catechol 2,3-dioxygenase, can be useful and practical in the biological treatment of environment from cephalosporins.

KEYWORDS:

• Biodegradation
• Catechol2,3-dioxygenase
• cephalosporins
• genetically engineered Psudomonas putida
• HPLC
• kinetic modeling
• pUC18
• soil

Acknowledgments

Authors like to express themselves sincerely thanks to the lab staff and cooperation Basic Cellular and Molecular Research Center Institute of Health Sciences at Shahrekord University Medical Sciences, Shahrekord, Iran.

Disclosure statement

No potential competing interest was reported by the authors.

Author contribution

Gashtasb Mardani and Maryam Ahankoub designed the research and conducted experiments and do HPLC test and Mahdiyeh Alikhani Faradonbeh wrote the manuscript. Hadi Raesi Shahraki analyzed data. Abdolmajid Fadaei do kinetic modeling and wrote the manuscript.

Data availability

The data that support the findings of this study are available on request from the corresponding author.

Additional information

Funding

This work was supported by the Shahrekord University of Medical Sciences under Grant 3165.