Characterization of polycyclic aromatic hydrocarbon (PAH) degrading bacteria and optimization of physicochemical conditions for the production of catechol 1, 2-dioxygenase

O. Olukunle
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Abstract

Biodegradation of recalcitrant polycyclic aromatic hydrocarbons (PAHs) is highly dependent on the activities of catabolic enzyme and the conditions for metabolism. The most significant studies on process optimization of conditions for catechol 1, 2 dioxygenase (C120) metabolism of PAHs used “one variable at a time” (OVAT) method, however, with its limitations. In this study, optimization of conditions for optimal C12O metabolism of PAH pollutants using the central composite design (CCD) of response surface methodology (RSM) was used. Enrichment technique using mineral salt medium (MSM) was used to isolate bacteria from oil-polluted water and soil milleu from Awoye community in Nigeria. Thereafter, the bacterial isolates were primarily screened through growth on mineral salt medium plates supplemented with (100 - 200) mM catechol and were subjected to secondary screening based on their initial catechol 1, 2-dioxygenase activity. Molecular tools were used to identify the isolate. Amongst the five (5) bacterial isolates acquired from primary screening, it was found that the cell free extract from isolate FEP B16a displayed the highest enzyme activity. Additionally, isolate FEP B16a was able to grow on MSM plate with 200 mM catechol. Based on CCD of RSM, the C12O produced from isolate FEP B16a had maximum activity at 35 ℃, pH 8.0, and 80μM of catechol. Molecular analysis confirmed it as a strain of Microbacterium hydrothermale FEP_B16a. This study concluded that CCD of RSM may be an efficient method to optimize C12O activity over the conventional approach of using single variable at a time.
多环芳烃(PAH)降解菌的表征及邻苯二酚1,2 -双加氧酶生产的理化条件优化
顽固性多环芳烃(PAHs)的生物降解高度依赖于分解代谢酶的活性和代谢条件。然而,对多环芳烃(PAHs)中儿茶酚1,2双加氧酶(C120)代谢条件的工艺优化研究中最重要的是使用“一次一个变量”(OVAT)方法,该方法存在局限性。本研究采用响应面法(RSM)的中心复合设计(CCD)对多环芳烃(PAH)污染物的最佳c120代谢条件进行了优化。采用无机盐培养基(MSM)富集技术对尼日利亚Awoye社区石油污染水体和土壤微生物进行了细菌分离。随后,通过在添加(100 - 200)mM儿茶酚的无机盐培养基上生长对分离的细菌进行初步筛选,并根据其初始儿茶酚1,2 -双加氧酶活性进行二次筛选。利用分子工具对分离物进行鉴定。初步筛选得到的5株菌株中,FEP B16a的无细胞提取物酶活性最高。此外,分离的FEP B16a能够在200 mM儿茶酚的MSM板上生长。实验结果表明,分离物FEP B16a在35℃、pH 8.0、80μM的邻苯二酚浓度条件下活性最高。分子分析证实该菌株为水热微杆菌FEP_B16a。本研究表明,相对于传统的单变量优化方法,RSM的CCD可能是一种有效的优化c120活性的方法。
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