Suppr超能文献

细菌趋性中的响应重整。

Response rescaling in bacterial chemotaxis.

机构信息

Foundation for Fundamental Research on Matter Institute for Atomic and Molecular Physics, 1098 XG Amsterdam, The Netherlands.

出版信息

Proc Natl Acad Sci U S A. 2011 Aug 16;108(33):13870-5. doi: 10.1073/pnas.1108608108. Epub 2011 Aug 1.

Abstract

Sensory systems rescale their response sensitivity upon adaptation according to simple strategies that recur in processes as diverse as single-cell signaling, neural network responses, and whole-organism perception. Here, we study response rescaling in Escherichia coli chemotaxis, where adaptation dynamically tunes the cells' motile response during searches for nutrients. Using in vivo fluorescence resonance energy transfer (FRET) measurements on immobilized cells, we demonstrate that the design of this prokaryotic signaling network follows the fold-change detection (FCD) strategy, responding faithfully to the shape of the input profile irrespective of its absolute intensity. Using a microfluidics-based assay for free swimming cells, we confirm intensity-independent gradient responses at the behavioral level. By theoretical analysis, we identify a set of sufficient conditions for FCD in E. coli chemotaxis, which leads to the prediction that the adaptation timescale is invariant with respect to the background input level. Additional FRET experiments confirm that the adaptation timescale is invariant over an ∼10,000-fold range of background concentrations. These observations in a highly optimized bacterial system support the concept that FCD represents a robust sensing strategy for spatial searches. To our knowledge, these experiments provide a unique demonstration of FCD in any biological sensory system.

摘要

感觉系统根据简单的策略对其响应灵敏度进行调整适应,这些策略在单细胞信号转导、神经网络反应和整个生物体感知等各种过程中反复出现。在这里,我们研究了大肠杆菌趋化性中的响应调整适应,在这种趋化性中,适应性会在细胞寻找营养物质的过程中动态调整其运动反应。我们通过对固定细胞进行体内荧光共振能量转移(FRET)测量,证明了这种原核信号网络的设计遵循了折叠变化检测(FCD)策略,无论输入强度如何,它都能忠实地响应输入轮廓的形状。通过基于微流控的游动细胞测定法,我们在行为水平上证实了与强度无关的梯度响应。通过理论分析,我们确定了大肠杆菌趋化性中 FCD 的一组充分条件,这导致了一个预测,即适应时间尺度与背景输入水平无关。额外的 FRET 实验证实,在背景浓度约为 10000 倍的范围内,适应时间尺度是不变的。在一个高度优化的细菌系统中进行的这些观察结果支持了 FCD 代表了用于空间搜索的稳健传感策略的概念。据我们所知,这些实验在任何生物感觉系统中都提供了 FCD 的独特演示。

相似文献

1
Response rescaling in bacterial chemotaxis.
Proc Natl Acad Sci U S A. 2011 Aug 16;108(33):13870-5. doi: 10.1073/pnas.1108608108. Epub 2011 Aug 1.
2
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.
3
Microfluidics for bacterial chemotaxis.
Integr Biol (Camb). 2010 Nov;2(11-12):604-29. doi: 10.1039/c0ib00049c. Epub 2010 Oct 21.
4
Transient dynamic phenotypes as criteria for model discrimination: fold-change detection in Rhodobacter sphaeroides chemotaxis.
J R Soc Interface. 2013 Jan 4;10(80):20120935. doi: 10.1098/rsif.2012.0935. Print 2013 Mar 6.
5
Chemotactic response and adaptation dynamics in Escherichia coli.
PLoS Comput Biol. 2010 May 20;6(5):e1000784. doi: 10.1371/journal.pcbi.1000784.
6
FRET Analysis of the Chemotaxis Pathway Response.
Methods Mol Biol. 2018;1729:107-126. doi: 10.1007/978-1-4939-7577-8_11.
7
Precision and kinetics of adaptation in bacterial chemotaxis.
Biophys J. 2010 Nov 3;99(9):2766-74. doi: 10.1016/j.bpj.2010.08.051.
8
The Role of Adaptation in Bacterial Speed Races.
PLoS Comput Biol. 2016 Jun 3;12(6):e1004974. doi: 10.1371/journal.pcbi.1004974. eCollection 2016 Jun.
9
Logarithmic sensing in Escherichia coli bacterial chemotaxis.
Biophys J. 2009 Mar 18;96(6):2439-48. doi: 10.1016/j.bpj.2008.10.027.
10
Fold-change detection and scalar symmetry of sensory input fields.
Proc Natl Acad Sci U S A. 2010 Sep 7;107(36):15995-6000. doi: 10.1073/pnas.1002352107. Epub 2010 Aug 20.

引用本文的文献

2
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.
4
Multiplexed Microfluidic Platform for Parallel Bacterial Chemotaxis Assays.
Bio Protoc. 2024 Sep 5;14(17):e5062. doi: 10.21769/BioProtoc.5062.
5
Chemotaxing do not count single molecules.
ArXiv. 2024 Nov 27:arXiv:2407.07264v2.
6
do not count single molecules.
bioRxiv. 2024 Jul 13:2024.07.09.602750. doi: 10.1101/2024.07.09.602750.
7
Learning optimal integration of spatial and temporal information in noisy chemotaxis.
PNAS Nexus. 2024 Jun 14;3(7):pgae235. doi: 10.1093/pnasnexus/pgae235. eCollection 2024 Jul.
8
Microfluidic approaches in microbial ecology.
Lab Chip. 2024 Feb 27;24(5):1394-1418. doi: 10.1039/d3lc00784g.
9
Multiplexed microfluidic screening of bacterial chemotaxis.
Elife. 2023 Jul 24;12:e85348. doi: 10.7554/eLife.85348.
10
Wild animals suppress the spread of socially transmitted misinformation.
Proc Natl Acad Sci U S A. 2023 Apr 4;120(14):e2215428120. doi: 10.1073/pnas.2215428120. Epub 2023 Mar 28.

本文引用的文献

1
Fold-change detection and scalar symmetry of sensory input fields.
Proc Natl Acad Sci U S A. 2010 Sep 7;107(36):15995-6000. doi: 10.1073/pnas.1002352107. Epub 2010 Aug 20.
2
Bacterial chemotaxis in linear and nonlinear steady microfluidic gradients.
Nano Lett. 2010 Sep 8;10(9):3379-85. doi: 10.1021/nl101204e.
4
Bacterial strategies for chemotaxis response.
Proc Natl Acad Sci U S A. 2010 Jan 26;107(4):1391-6. doi: 10.1073/pnas.0909673107. Epub 2010 Jan 4.
5
The incoherent feedforward loop can provide fold-change detection in gene regulation.
Mol Cell. 2009 Dec 11;36(5):894-9. doi: 10.1016/j.molcel.2009.11.018.
6
Dynamics and variability of ERK2 response to EGF in individual living cells.
Mol Cell. 2009 Dec 11;36(5):885-93. doi: 10.1016/j.molcel.2009.11.025.
7
Evidence that fold-change, and not absolute level, of beta-catenin dictates Wnt signaling.
Mol Cell. 2009 Dec 11;36(5):872-84. doi: 10.1016/j.molcel.2009.11.017.
8
The challenges natural images pose for visual adaptation.
Neuron. 2009 Dec 10;64(5):605-16. doi: 10.1016/j.neuron.2009.11.028.
9
Chemotaxis: how bacteria use memory.
Biol Chem. 2009 Nov;390(11):1097-104. doi: 10.1515/BC.2009.130.
10
Logarithmic sensing in Escherichia coli bacterial chemotaxis.
Biophys J. 2009 Mar 18;96(6):2439-48. doi: 10.1016/j.bpj.2008.10.027.

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