Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410017, China.
Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421009, China.
Toxins (Basel). 2022 Mar 27;14(4):240. doi: 10.3390/toxins14040240.
sp. YF1 has proven to be efficient in biodegrading microcystin (MC)-leucine (L) and arginine (R) (MC-LR); however, the optimal environmental factors to biodegrade the toxin have not been investigated. In this study, the biodegrading characteristics of YF1 against MC-LR were assessed under diverse environmental factors, including temperature (20, 30 or 40 °C), pH (5, 7 or 9) and MC-LR concentration (1, 3 or 5 µg/mL). Data obtained from the single-factor experiment indicated that MC-LR biodegradation by strain YF1 was temperature-, pH- and MC-LR-concentration-dependent, and the maximal biodegradation rate occurred at 5 µg/mL/h. Proposing Box-Behnken Design in response surface methodology, the influence of the three environmental factors on the biodegradation efficiency of MC-LR using strain YF1 was determined. A 17-run experiment was generated and carried out, including five replications performed at the center point. The ANOVA analysis demonstrated that the model was significant, and the model prediction of MC-LR biodegradation was also validated with the experimental data. The quadratic statistical model was established to predict the interactive effects of the environmental factors on MC-LR biodegradation efficiency and to optimize the controlling parameters. The optimal conditions for MC-LR biodegradation were observed at 30 °C, pH 7 and 3 µg/mL MC-LR, with a biodegradation efficiency of 100% after 60 min. The determination of the optimal environmental factors will help to unveil the detailed biodegradation mechanism of MC-LR by strain YF1 and to apply it into the practice of eliminating MC-LR from the environment.
sp. YF1 已被证明在降解微囊藻毒素(MC)-亮氨酸(L)和精氨酸(R)(MC-LR)方面非常有效;然而,尚未研究出降解该毒素的最佳环境因素。在这项研究中,评估了 YF1 在不同环境因素下对 MC-LR 的降解特征,包括温度(20、30 或 40°C)、pH 值(5、7 或 9)和 MC-LR 浓度(1、3 或 5 µg/mL)。单因素实验数据表明,菌株 YF1 降解 MC-LR 依赖于温度、pH 值和 MC-LR 浓度,最大降解速率为 5 µg/mL/h。针对响应面法中的 Box-Behnken 设计,确定了三种环境因素对菌株 YF1 降解 MC-LR 效率的影响。生成并进行了 17 次运行实验,包括在中心点进行了五次重复。方差分析表明该模型是显著的,并且通过实验数据验证了 MC-LR 降解的模型预测。建立了二次统计模型来预测环境因素对 MC-LR 降解效率的交互影响,并优化控制参数。在 30°C、pH 值为 7 和 3 µg/mL MC-LR 的条件下,观察到 MC-LR 降解的最佳条件,在 60 min 后降解效率达到 100%。确定最佳环境因素将有助于揭示菌株 YF1 降解 MC-LR 的详细降解机制,并将其应用于从环境中消除 MC-LR 的实践中。