Suppr超能文献

大肠杆菌细胞的漂移与行为

Drift and Behavior of E. coli Cells.

作者信息

Micali Gabriele, Colin Rémy, Sourjik Victor, Endres Robert G

机构信息

Department of Life Sciences, Imperial College, London, United Kingdom; Centre for Integrative Systems Biology and Bioinformatics, Imperial College, London, United Kingdom; Department of Environmental Microbiology, Eawag, Dübendorf, Switzerland; Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.

Max Planck Institute for Terrestrial Microbiology, Marburg, Germany; LOEWE Center for Synthetic Microbiology, Marburg, Germany.

出版信息

Biophys J. 2017 Dec 5;113(11):2321-2325. doi: 10.1016/j.bpj.2017.09.031. Epub 2017 Oct 27.

Abstract

Chemotaxis of the bacterium Escherichia coli is well understood in shallow chemical gradients, but its swimming behavior remains difficult to interpret in steep gradients. By focusing on single-cell trajectories from simulations, we investigated the dependence of the chemotactic drift velocity on attractant concentration in an exponential gradient. Whereas maxima of the average drift velocity can be interpreted within analytical linear-response theory of chemotaxis in shallow gradients, limits in drift due to steep gradients and finite number of receptor-methylation sites for adaptation go beyond perturbation theory. For instance, we found a surprising pinning of the cells to the concentration in the gradient at which cells run out of methylation sites. To validate the positions of maximal drift, we recorded single-cell trajectories in carefully designed chemical gradients using microfluidics.

摘要

大肠杆菌在浅化学梯度中的趋化作用已得到充分理解,但其在陡峭梯度中的游动行为仍难以解释。通过关注模拟中的单细胞轨迹,我们研究了指数梯度中趋化漂移速度对引诱剂浓度的依赖性。虽然平均漂移速度的最大值可以在浅梯度趋化的解析线性响应理论中得到解释,但由于陡峭梯度和用于适应的受体甲基化位点数量有限而导致的漂移限制超出了微扰理论。例如,我们发现细胞会惊人地固定在梯度中的某个浓度上,此时细胞耗尽了甲基化位点。为了验证最大漂移的位置,我们使用微流控技术在精心设计的化学梯度中记录了单细胞轨迹。

相似文献

1
Drift and Behavior of E. coli Cells.大肠杆菌细胞的漂移与行为
Biophys J. 2017 Dec 5;113(11):2321-2325. doi: 10.1016/j.bpj.2017.09.031. Epub 2017 Oct 27.
5
Predicting Escherichia coli's chemotactic drift under exponential gradient.预测大肠杆菌在指数梯度下的趋化漂移。
Phys Rev E. 2017 Sep;96(3-1):032409. doi: 10.1103/PhysRevE.96.032409. Epub 2017 Sep 11.
7
Logarithmic sensing in Escherichia coli bacterial chemotaxis.大肠杆菌趋化作用中的对数感应
Biophys J. 2009 Mar 18;96(6):2439-48. doi: 10.1016/j.bpj.2008.10.027.
9
Limits of feedback control in bacterial chemotaxis.细菌趋化性中的反馈控制的局限性。
PLoS Comput Biol. 2014 Jun 26;10(6):e1003694. doi: 10.1371/journal.pcbi.1003694. eCollection 2014 Jun.
10
Signaling noise enhances chemotactic drift of E. coli.信号噪声增强了大肠杆菌的趋化漂移。
Phys Rev Lett. 2012 Oct 5;109(14):148101. doi: 10.1103/PhysRevLett.109.148101. Epub 2012 Oct 2.

引用本文的文献

1
Individual-Based Modeling of Spatial Dynamics of Chemotactic Microbial Populations.基于个体的趋化微生物种群空间动态模型。
ACS Synth Biol. 2022 Nov 18;11(11):3714-3723. doi: 10.1021/acssynbio.2c00322. Epub 2022 Nov 6.
2
Agent-Based Modeling of Microbial Communities.基于Agent 的微生物群落建模。
ACS Synth Biol. 2022 Nov 18;11(11):3564-3574. doi: 10.1021/acssynbio.2c00411. Epub 2022 Oct 31.
3

本文引用的文献

2
Non-genetic diversity modulates population performance.非遗传多样性调节种群表现。
Mol Syst Biol. 2016 Dec 19;12(12):895. doi: 10.15252/msb.20167044.
3
The Role of Adaptation in Bacterial Speed Races.适应在细菌速度竞赛中的作用。
PLoS Comput Biol. 2016 Jun 3;12(6):e1004974. doi: 10.1371/journal.pcbi.1004974. eCollection 2016 Jun.
5
Bacterial chemotaxis: information processing, thermodynamics, and behavior.细菌趋化性:信息处理、热力学与行为
Curr Opin Microbiol. 2016 Apr;30:8-15. doi: 10.1016/j.mib.2015.12.001. Epub 2015 Dec 28.
6
Optimal resource allocation in cellular sensing systems.蜂窝传感系统中的最优资源分配
Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):17486-91. doi: 10.1073/pnas.1411524111. Epub 2014 Nov 24.
7
Predicting chemical environments of bacteria from receptor signaling.从受体信号预测细菌的化学环境。
PLoS Comput Biol. 2014 Oct 23;10(10):e1003870. doi: 10.1371/journal.pcbi.1003870. eCollection 2014 Oct.
9
Limits of feedback control in bacterial chemotaxis.细菌趋化性中的反馈控制的局限性。
PLoS Comput Biol. 2014 Jun 26;10(6):e1003694. doi: 10.1371/journal.pcbi.1003694. eCollection 2014 Jun.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验