Ihekwaba Adaoha E C, Mura Ivan, Peck Michael W, Barker G C
Gut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich NR4 7UA, UK
Faculty of Engineering, EAN University, Carrera 11 No. 78 - 47, Bogotá, Colombia.
Pathog Dis. 2015 Dec;73(9):ftv084. doi: 10.1093/femspd/ftv084. Epub 2015 Oct 7.
Botulinum neurotoxins (BoNTs) produced by the anaerobic bacterium Clostridium botulinum are the most poisonous substances known to mankind. However, toxin regulation and signals triggering synthesis as well as the regulatory network and actors controlling toxin production are unknown. Experiments show that the neurotoxin gene is growth phase dependent for C. botulinum type A1 strain ATCC 19397, and toxin production is influenced both by culture conditions and nutritional status of the medium. Building mathematical models to describe the genetic and molecular machinery that drives the synthesis and release of BoNT requires a simultaneous description of the growth of the bacterium in culture. Here, we show four plausible modelling options which could be considered when constructing models describing the pattern of growth observed in a botulinum growth medium. Commonly used bacterial growth models are unsuitable to fit the pattern of growth observed, since they only include monotonic growth behaviour. We find that a model that includes both the nutritional status and the ability of the cells to sense their surroundings in a quorum-sensing manner is most successful at explaining the pattern of growth obtained for C. botulinum type A1 strain ATCC 19397.
由厌氧肉毒梭菌产生的肉毒杆菌神经毒素(BoNTs)是人类已知的毒性最强的物质。然而,毒素调控、触发合成的信号以及控制毒素产生的调控网络和作用因子尚不清楚。实验表明,对于A型1株肉毒梭菌ATCC 19397,神经毒素基因的表达依赖于生长阶段,并且毒素产生受培养条件和培养基营养状况的影响。构建数学模型来描述驱动BoNT合成和释放的遗传和分子机制需要同时描述细菌在培养中的生长情况。在此,我们展示了四种合理的建模选项,在构建描述肉毒杆菌生长培养基中观察到的生长模式的模型时可以考虑这些选项。常用的细菌生长模型不适用于拟合观察到的生长模式,因为它们仅包括单调生长行为。我们发现,一个既包括营养状况又包括细胞以群体感应方式感知周围环境能力的模型,在解释A型1株肉毒梭菌ATCC 19397获得的生长模式方面最为成功。