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Updated: Jun 7, 2025

Prospecting Microbial Strains for Bioremediation and Probiotics Development for Metaorganism Research and Preservation
Published on: October 31, 2019
Omics-centric evidences of fipronil biodegradation by Rhodococcus sp. FIP_B3.
Anjali Jaiswal1, Anand Kumar Pandey2, Animesh Tripathi1
1Department of Botany, Institute of Science, Banaras Hindu University, Varanasi- 221005, India.
Rhodococcus sp. FIP_B3 efficiently degrades 84% of the pesticide fipronil in 40 days. This study reveals key enzymes and metabolites involved in fipronil biodegradation, offering insights for environmental remediation.
Area of Science:
- Environmental Science
- Microbiology
- Biotechnology
Background:
- Widespread fipronil pesticide use leads to environmental accumulation, impacting soil health and human well-being.
- Microbial degradation offers a promising strategy for removing persistent fipronil residues from contaminated environments.
Purpose of the Study:
- To investigate the omics-based biodegradation of fipronil by the native bacterium Rhodococcus sp. FIP_B3.
- To elucidate the key enzymes, metabolites, and molecular mechanisms involved in fipronil degradation.
Main Methods:
- Utilized an omics approach, including whole genome analysis, for Rhodococcus sp. FIP_B3.
- Identified major biodegradation metabolites and employed in-silico molecular docking and dynamic simulations.
- Quantified degradation kinetics and half-life of fipronil.
Main Results:
- Rhodococcus sp. FIP_B3 achieved 84% fipronil degradation within 40 days, following pseudo-first-order kinetics (k = 0.0197/d, half-life ~11 days).
- Identified key enzymes (e.g., Cytochrome P450 monooxygenase, haloalkane dehalogenase) and major metabolites (e.g., fipronil-sulfone, trifluoropropanoic acid).
- In-silico analyses confirmed stable interactions between intermediates and enzymes, with binding energies ranging from -5.9 to -9.7 kcal/mol.
Conclusions:
- Rhodococcus sp. FIP_B3 exhibits significant potential for fipronil biodegradation.
- The identified mechanistic insights are crucial for developing effective bioremediation strategies for fipronil-contaminated ecosystems.
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