基于群体感应信号分子的抗菌剂对发光菌毒性的影响机制及预测模型
[Abstract]:As a broad-spectrum antibiotic, antibiotics are widely used in medical, animal husbandry, aquaculture and other fields. However, due to the abuse of antibiotics and unreasonable disposal of antibiotic-containing wastes, the distribution and concentration of antibiotics in the environment are increasing day by day. With the development of antibiotic substitutes, such as Quorum Sensing Inhibitor (QSIs), as an antibiotic substitute, it is widely studied or used in combination with antibiotics in medicine. It is expected that QSIs will coexist with antibiotics in the environment. However, the environmental effects and environmental ecological risk effects of quorum sensing inhibitors as alternatives to antibiotics are still unclear. Vibrio fischeri, a luminescent bacterium living in a vast ocean, produces a sense of bacterial community. The signal molecules C6 (N-(3-oxo-hexanoyl) -L-Homoserine lactone) and C8 (N-octanoyl-homoserine lactone) are also distributed in the environment, but so far, the effects of C6 and C8 signaling molecules on the biological effects of antimicrobial agents acting on luminescent bacteria in the environment are seldom studied. There is a phenomenon of intersection (one or more) between the dose-effect curves predicted by existing models and the dose-effect curves obtained by experiments, which can provide a good basis for identifying the types of combined action between compounds. However, the phenomenon of intersection has been widely studied in recent years. In this study, the effects of C6 and C8 on the single and combined toxicity (0-24 h) of antibiotics and quorum sensing inhibitors and their cross-phenomena based on IA model were investigated using Vibrio fischeri as model organism, sulfonamide antibiotics SMP, quorum sensing inhibitors C30 and quorum sensing signal molecules C6, C8. It was found that (1) signal molecule C6 inhibited the toxic effect of SMP and C30 on luminescent bacteria, because C6 could bind to LuxR protein and activate the expression of luxICDABEG, thus promoting the luminescence of luminescent bacteria. (2) The toxic effect of low concentration C 8 on SMP and C30 on luminescent bacteria was inhibited, and the toxic effect of high concentration C on luminescent bacteria was inhibited. The toxic effect of C8 on SMP, C30 on luminescent bacteria was inhibited at 0-12 h and promoted at 13-24 h, because exogenous C8 would compete with C6 to bind LuxR protein, and the stimulating effect of C6 on luminescent bacteria would decrease with the increase of C6 secreted by the bacteria themselves. (3) C6 would make the concentration point of cross-reaction between SMP and C30 on luminescent bacteria. C8 increased the concentration of SMP and C30, but decreased the concentration of C6 and C8, because C6 and C8 belonged to two different quorum sensing systems of luminescent bacteria. C6 belonged to LuxI/Lux R system, C8 belonged to AinS/AinR system, C6 played a role first than C8 in quorum sensing system, and C8 played a major role when the concentration of C6 was insufficient. As a complement to LuxR, C6 tends to antagonize the combined toxicity of SMP + C30, whereas C8 tends to synergize the combined toxicity of SMP + C30. In addition, chronic toxicity research is crucial in the face of the complex and diverse contaminants and the serious situation of long-term exposure. Sexual toxicity prediction models are mostly empirical choices, and lack of theoretical basis for comparing the mechanisms of acute and chronic toxicity. In this paper, the E_ (binding) and Ka/Kc fitting methods of LitR protein were used to establish a model for predicting chronic toxicity from acute toxicity of different compounds with the same QSAR. There is a good correlation between white and white, which makes it possible to use LitR E_ (binding) instead of target protein E_ (binding) to fit logKc / Ka. The results of this study not only provide a theoretical basis for ecotoxicological assessment and environmental risk assessment of antimicrobial agents, but also provide a further exploration for the formation mechanism of cross phenomena. Provide data support and theoretical guidance.
【学位授予单位】:上海海洋大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:X171.5
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