Suppr超能文献

细菌个体游动行为的起源

Origins of individual swimming behavior in bacteria.

作者信息

Levin M D, Morton-Firth C J, Abouhamad W N, Bourret R B, Bray D

机构信息

Department of Zoology, University of Cambridge, United Kingdom.

出版信息

Biophys J. 1998 Jan;74(1):175-81. doi: 10.1016/S0006-3495(98)77777-X.

Abstract

Cells in a cloned population of coliform bacteria exhibit a wide range of swimming behaviors--a form of non-genetic individuality. We used computer models to examine the proposition that these variations are due to differences in the number of chemotaxis signaling molecules from one cell to the next. Simulations were run in which the concentrations of seven gene products in the chemotaxis pathway were changed either deterministically or stochastically, with the changes derived from independent normal distributions. Computer models with two adaptation mechanisms were compared with experimental results from observations on individuals drawn from genetically identical populations. The range of swimming behavior predicted for cells with a standard deviation of protein copy number per cell of 10% of the mean was found to match closely the experimental range of the wild-type population. We also make predictions for the swimming behaviors of mutant strains lacking the adaptational mechanism that can be tested experimentally.

摘要

一群克隆的大肠菌群细胞表现出广泛的游动行为——一种非遗传个体性的形式。我们使用计算机模型来检验这样一种观点,即这些变异是由于从一个细胞到另一个细胞的趋化信号分子数量的差异所致。进行了模拟,其中趋化途径中七种基因产物的浓度以确定性或随机性方式改变,这些改变源自独立的正态分布。将具有两种适应机制的计算机模型与从基因相同的群体中抽取的个体的观察实验结果进行了比较。发现预测的每个细胞蛋白质拷贝数标准差为平均值10%的细胞的游动行为范围与野生型群体的实验范围紧密匹配。我们还对缺乏可通过实验测试的适应机制的突变菌株的游动行为进行了预测。

相似文献

1
Origins of individual swimming behavior in bacteria.
Biophys J. 1998 Jan;74(1):175-81. doi: 10.1016/S0006-3495(98)77777-X.
2
Information processing in bacterial chemotaxis.
Sci STKE. 2002 May 14;2002(132):pe25. doi: 10.1126/stke.2002.132.pe25.
3
Robustness in simple biochemical networks.
Nature. 1997 Jun 26;387(6636):913-7. doi: 10.1038/43199.
4
Receptor clustering and signal processing in E. coli chemotaxis.
Trends Microbiol. 2004 Dec;12(12):569-76. doi: 10.1016/j.tim.2004.10.003.
5
Bacterial chemoreceptors: high-performance signaling in networked arrays.
Trends Biochem Sci. 2008 Jan;33(1):9-19. doi: 10.1016/j.tibs.2007.09.014. Epub 2007 Dec 31.
6
Fold-change detection in a whole-pathway model of Escherichia coli chemotaxis.
Bull Math Biol. 2014 Jun;76(6):1376-95. doi: 10.1007/s11538-014-9965-3. Epub 2014 May 9.
7
Signal transduction: hair brains in bacterial chemotaxis.
Curr Biol. 2000 Jan 13;10(1):R11-4. doi: 10.1016/s0960-9822(99)00248-1.
8
Regulation of interaction between signaling protein CheY and flagellar motor during bacterial chemotaxis.
Curr Top Cell Regul. 1996;34:137-58. doi: 10.1016/s0070-2137(96)80005-7.
9
Coordinated switching of bacterial flagellar motors: evidence for direct motor-motor coupling?
Phys Rev Lett. 2013 Apr 12;110(15):158703. doi: 10.1103/PhysRevLett.110.158703. Epub 2013 Apr 9.
10
Relationship between cellular response and behavioral variability in bacterial chemotaxis.
Proc Natl Acad Sci U S A. 2008 Mar 4;105(9):3304-9. doi: 10.1073/pnas.0705463105. Epub 2008 Feb 25.

引用本文的文献

1
Identification of the governing equation of stimulus-response data for run-and-tumble dynamics.
PLoS Comput Biol. 2025 Aug 5;21(8):e1013287. doi: 10.1371/journal.pcbi.1013287. eCollection 2025 Aug.
2
Effect of inoculum size and antibiotics on bacterial traveling bands in a thin microchannel defined by optical adhesive.
Microsyst Nanoeng. 2021 Oct 22;7:86. doi: 10.1038/s41378-021-00309-3. eCollection 2021.
3
Temporal fluctuations in chemotaxis gain implement a simulated-tempering strategy for efficient navigation in complex environments.
iScience. 2021 Jun 28;24(7):102796. doi: 10.1016/j.isci.2021.102796. eCollection 2021 Jul 23.
4
Cellular Stoichiometry of Chemotaxis Proteins in .
J Bacteriol. 2020 Jun 25;202(14). doi: 10.1128/JB.00141-20.
5
Evidence of Robustness in a Two-Component System Using a Synthetic Circuit.
J Bacteriol. 2020 Jan 29;202(4). doi: 10.1128/JB.00672-19.
7
Behavioral Variability and Phenotypic Diversity in Bacterial Chemotaxis.
Annu Rev Biophys. 2018 May 20;47:595-616. doi: 10.1146/annurev-biophys-062215-010954. Epub 2018 Apr 4.
8
Mathematical Analysis of the Escherichia coli Chemotaxis Signalling Pathway.
Bull Math Biol. 2018 Apr;80(4):758-787. doi: 10.1007/s11538-018-0400-z. Epub 2018 Feb 5.
9
Cellular Stoichiometry of Methyl-Accepting Chemotaxis Proteins in Sinorhizobium meliloti.
J Bacteriol. 2018 Feb 23;200(6). doi: 10.1128/JB.00614-17. Print 2018 Mar 15.
10
Non-genetic diversity modulates population performance.
Mol Syst Biol. 2016 Dec 19;12(12):895. doi: 10.15252/msb.20167044.

本文引用的文献

1
A model of excitation and adaptation in bacterial chemotaxis.
Proc Natl Acad Sci U S A. 1997 Jul 8;94(14):7263-8. doi: 10.1073/pnas.94.14.7263.
2
Robustness in simple biochemical networks.
Nature. 1997 Jun 26;387(6636):913-7. doi: 10.1038/43199.
3
Stochastic mechanisms in gene expression.
Proc Natl Acad Sci U S A. 1997 Feb 4;94(3):814-9. doi: 10.1073/pnas.94.3.814.
4
Control of bacterial chemotaxis.
Mol Microbiol. 1996 Jun;20(5):903-10. doi: 10.1111/j.1365-2958.1996.tb02531.x.
6
Phosphorylation-dependent binding of a signal molecule to the flagellar switch of bacteria.
Proc Natl Acad Sci U S A. 1993 Oct 1;90(19):8787-91. doi: 10.1073/pnas.90.19.8787.
7
Computer simulation of the phosphorylation cascade controlling bacterial chemotaxis.
Mol Biol Cell. 1993 May;4(5):469-82. doi: 10.1091/mbc.4.5.469.
8
Signal transduction schemes of bacteria.
Cell. 1993 Jun 4;73(5):857-71. doi: 10.1016/0092-8674(93)90267-t.
9
A model of excitation and adaptation in bacterial chemotaxis.
Biophys J. 1995 Feb;68(2):708-22. doi: 10.1016/S0006-3495(95)80232-8.
10
Two-state model for bacterial chemoreceptor proteins. The role of multiple methylation.
J Mol Biol. 1984 Jul 5;176(3):349-67. doi: 10.1016/0022-2836(84)90494-7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验