咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >Time-scale separation and stoc... 收藏

Time-scale separation and stochasticity conspire to impact phenotypic dynamics in the canonical and inverted Bacillus subtilis core genetic regulation circuits

时间规模分离和 stochasticity 密谋在正规、转换的杆菌 subtilis 核心影响 phenotypic 动力学基因规定电路

作     者:Lijie Hao Zhuoqin Yang Marc Turcotte 

作者机构:School of Mathematics and Systems Science and LMIBBeihang UniversityBeijing 100191China University of Texas at DallasRichardsonTX 75080USA 

出 版 物:《Frontiers of Electrical and Electronic Engineering in China》 (中国电气与电子工程前沿(英文版))

年 卷 期:2019年第7卷第1期

页      面:54-68页

核心收录:

学科分类:0710[理学-生物学] 07[理学] 09[农学] 

基  金:Hangzhou Dianzi University in Hangzhou 

主  题:Bacillus subtilis competence gene regulation deterministic dynamics stochastic dynamics 

摘      要:Backgrounds In this work, we study two seemingly unrelated aspects of core genetic nonlinear dynamical control of the competence phenotype in Bacillus subtilis, a common Gram-positive bacterium living in the soil. Methods: We focus on hitherto unchartered aspects of the dynamics by exploring the effect of time-scale separation between transcription and translation and, as well, the effect of intrinsic molecular stochasticity. We consider these aspects of regulatory control as two possible evolutionary handles. Results: Hence, using theory and computations, we study how the onset of oscillations breaks the excitability-based competence phenotype in two topologically close evolutionary-competing circuits: the canonical wild-type regulation circuit selected by Evolution and the corresponding indirect-feedback inverted circuit that failed to be selected by Evolution, as was shown elsewhere, due to dynamical reasons. Conclusions^ Relying on in-silico perturbation of the living state, we show that the canonical core genetic regulation of excitability-based competence is more robust against switching to phenotype-breaking oscillations than the inverted feedback organism. We show how this is due to time-scale separation and stochasticity.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分