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枯草芽孢杆菌中调控芽孢形成起始的分子网络的计算建模与分析

Computational modelling and analysis of the molecular network regulating sporulation initiation in Bacillus subtilis.

作者信息

Ihekwaba Adaoha E C, Mura Ivan, Barker Gary C

机构信息

Gut Health and Food Safety, Institute of Food Research, Norwich Research Park, Colney, Norwich, UK.

Faculty of Engineering, EAN University, Carrera 11 No. 78 - 47, Bogotá, Colombia.

出版信息

BMC Syst Biol. 2014 Oct 24;8:119. doi: 10.1186/s12918-014-0119-x.

Abstract

BACKGROUND

Bacterial spores are important contaminants in food, and the spore forming bacteria are often implicated in food safety and food quality considerations. Spore formation is a complex developmental process involving the expression of more than 500 genes over the course of 6 to 8 hrs. The process culminates in the formation of resting cells capable of resisting environmental extremes and remaining dormant for long periods of time, germinating when conditions promote further vegetative growth. Experimental observations of sporulation and germination are problematic and time consuming so that reliable models are an invaluable asset in terms of prediction and risk assessment. In this report we develop a model which assists in the interpretation of sporulation dynamics.

RESULTS

This paper defines and analyses a mathematical model for the network regulating Bacillus subtilis sporulation initiation, from sensing of sporulation signals down to the activation of the early genes under control of the master regulator Spo0A. Our model summarises and extends other published modelling studies, by allowing the user to execute sporulation initiation in a scenario where Isopropyl β-D-1-thiogalactopyranoside (IPTG) is used as an artificial sporulation initiator as well as in modelling the induction of sporulation in wild-type cells. The analysis of the model results and the comparison with experimental data indicate that the model is good at predicting inducible responses to sporulation signals. However, the model is unable to reproduce experimentally observed accumulation of phosphorelay sporulation proteins in wild type B. subtilis. This model also highlights that the phosphorelay sub-component, which relays the signals detected by the sensor kinases to the master regulator Spo0A, is crucial in determining the response dynamics of the system.

CONCLUSION

We show that there is a complex connectivity between the phosphorelay features and the master regulatory Spo0A. Additional we discovered that the experimentally observed regulation of the phosphotransferase Spo0B for wild-type B. subtilis may be playing an important role in the network which suggests that modelling of sporulation initiation may require additional experimental support.

摘要

背景

细菌孢子是食品中的重要污染物,产孢细菌常常涉及食品安全和食品质量问题。孢子形成是一个复杂的发育过程,在6至8小时内涉及500多个基因的表达。该过程最终形成能够抵抗极端环境并长时间保持休眠状态的静止细胞,当条件有利于进一步的营养生长时萌发。产孢和萌发的实验观察存在问题且耗时,因此可靠的模型对于预测和风险评估而言是一项宝贵资产。在本报告中,我们开发了一个有助于解释产孢动力学的模型。

结果

本文定义并分析了一个用于调节枯草芽孢杆菌产孢起始网络的数学模型,该网络从产孢信号的感知到主调节因子Spo0A控制下的早期基因的激活。我们的模型总结并扩展了其他已发表的建模研究,通过允许用户在使用异丙基β-D-1-硫代半乳糖苷(IPTG)作为人工产孢起始剂的情况下执行产孢起始,以及对野生型细胞中产孢诱导进行建模。对模型结果的分析以及与实验数据的比较表明,该模型擅长预测对产孢信号的诱导反应。然而,该模型无法重现野生型枯草芽孢杆菌中实验观察到的磷酸化产孢蛋白的积累。该模型还强调,将传感器激酶检测到的信号传递给主调节因子Spo0A的磷酸化中继子组件对于确定系统的反应动力学至关重要。

结论

我们表明磷酸化中继特征与主调节因子Spo0A之间存在复杂的连接。此外,我们发现实验观察到的野生型枯草芽孢杆菌磷酸转移酶Spo0B的调节可能在该网络中起重要作用,这表明产孢起始的建模可能需要额外的实验支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da00/4213463/5f7bc92a8488/12918_2014_119_Fig1_HTML.jpg

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