| Literature DB >> 32046050 |
Pankaj Bhatt1,2,3, Yaohua Huang1,2, Wenping Zhang1,2, Anita Sharma3, Shaohua Chen1,2.
Abstract
Cypermethrin is popularly used as an insecticide in households and agricultural fields, resulting in serious environmental contamination. Rapid and effective techniques that minimize or remove insecticidal residues from the environment are urgently required. However, the currently available cypermethrin-degrading bacterial strains are suboptimal. We aimed to characterize the kinetics and metabolic pathway of highly efficient cypermethrin-degrading Bacillus thuringiensis strain SG4. Strain SG4 effectively degraded cypermethrin under different conditions. The maximum degradation was observed at 32 °C, pH 7.0, and a shaking speed of 110 rpm, and about 80% of the initial dose of cypermethrin (50 mg·L-1) was degraded in minimal salt medium within 15 days. SG4 cells immobilized with sodium alginate provided a higher degradation rate (85.0%) and lower half-life (t1/2) of 5.3 days compared to the 52.9 days of the control. Bioaugmentation of cypermethrin-contaminated soil slurry with strain SG4 significantly enhanced its biodegradation (83.3%). Analysis of the degradation products led to identification of nine metabolites of cypermethrin, which revealed that cypermethrin could be degraded first by cleavage of its ester bond, followed by degradation of the benzene ring, and subsequent metabolism. A new degradation pathway for cypermethrin was proposed based on analysis of the metabolites. We investigated the active role of B. thuringiensis strain SG4 in cypermethrin degradation under various conditions that could be applied in large-scale pollutant treatment.Entities:
Keywords: Bacillus thuringiensis; bioaugmentation; biodegradation; cypermethrin; kinetics; metabolic pathway
Year: 2020 PMID: 32046050 PMCID: PMC7074683 DOI: 10.3390/microorganisms8020223
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
Figure 1Effect of temperature, pH, and shaking speed on the degradation of cypermethrin by strain SG4. The data presented are mean ± standard errors of three independent experiments. Statistical analysis was performed by one way ANOVA of Duncan method, and different letters indicate significant differences (p < 0.05) between treatments.
Degradation kinetics of cypermethrin with strain SG4 in MSM and soil slurry.
| Treatment | Regression Equation |
| ||
|---|---|---|---|---|
| MSM | ln(Ct/C0) = –0.0042x + 4.6074 | 0.0042 | 0.990 | 165.0 |
| MSM + SG4 | ln(Ct/C0) = –0.1035x + 4.725 | 0.1035 | 0.954 | 6.7 |
| Soil slurry | ln(Ct/C0) = –0.0039x + 4.599 | 0.0039 | 0.999 | 177.7 |
| Soil slurry + SG4 | ln(Ct/C0) = –0.1134x + 4.702 | 0.113 | 0.968 | 0.70 |
Initial cypermethrin concentration was 50 mg·L−1 in MSM and 100 mg·kg−1 in soil. The linear equation was derived from chemical data of C0 and Ct to calculate degradation rate constant (k), determination coefficient (R2) and half-life (t1/2) values. t1/2: cypermethrin disappearance time in days; C0 and Ct: cypermethrin concentration at the initial and final stage of the experiment, respectively; MSM: minimal salt medium.
Figure 2Effect of strain SG4 immobilization (sodium alginate and agar disc) on the degradation of cypermethrin. The data presented are mean ± standard errors of three independent experiments. Statistical analysis was performed by one way ANOVA of Duncan method, and different letters indicate significant differences (p < 0.05) between treatments. SA: sodium alginate, AD: agar discs.
Degradation kinetics of cypermethrin with immobilized culture.
| Treatment | Regression Equation |
| ||
|---|---|---|---|---|
| MSM + SA | ln(Ct/Co) = –0.0131x + 4.5868 | 0.0131 | 0.933 | 52.9 |
| MSM + SA + SG4 | ln(Ct/Co) = –0.1336x + 4.7126 | 0.133 | 0.966 | 5.3 |
| MSM + AD | ln(Ct/Co) = –0.0136x + 4.5732 | 0.0136 | 0.859 | 50.9 |
| MSM + AD + SG4 | ln(Ct/Co) = –0.1089x + 4.6867 | 0.1089 | 0.977 | 6.4 |
Initial cypermethrin concentration was 50 mg·L−1. A linear equation was derived from chemical data of C0 and Ct, to calculate k, R2, and t1/2 values. SA: sodium alginate; AD: agar discs.
Figure 3Cypermethrin degradation in soil slurry with strain SG4. The data presented are mean ± standard errors of three independent experiments. Statistical analysis was performed by one way ANOVA of Duncan method, and different letters indicate significant differences (p < 0.05) between treatments.
Figure 4FTIR analysis of cypermethrin degradation with strain SG4 in minimal salt medium.
Gas chromatography–mass spectrometry (GC-MS) analysis of the cypermethrin degradation metabolites.
| Cypermethrin Degradation Metabolites Sequence | Retention Time (min) | Identified Metabolites | Molecular Weight (MW) | Chemical Structure |
|---|---|---|---|---|
| CP1 | 4.123 | Phenol | 94 |
|
| CP2 | 11.050 | Benzoic acid, 2,5-dimethyl | 150.17 |
|
| CP3 | 13.724 | 2-Hydroxy-3- phenoxy- benzeneacetonitrile | 225 |
|
| CP4 | 13.728 | 3-Phenoxybenzaldehyde | 198 |
|
| CP5 | 14.289 | Phthalic acid | 166.14 |
|
| CP6 | 15.942 | 2-Pentadecanone | 226.4 |
|
| CP7 | 20.00 | 3-Phenoxybenzoate | 228 |
|
| CP8 | 23.960 | Cypermethrin | 415 |
|
| CP9 | 24.098 | 3-(2,2-Dichloroethenyl)-2,2-dimethyl cyclopropanecarboxylate | 236 |
|
Figure 5Metabolic pathway of cypermethrin degradation of strain SG4.