Literature DB >> 32348719

Aggregation Temperature of Escherichia coli Depends on Steepness of the Thermal Gradient.

Chih-Yu Yang1, Michael Erickstad1, Loïc Tadrist1, Edward Ronan1, Edgar Gutierrez1, Jérôme Wong-Ng2, Alex Groisman3.   

Abstract

Bacterial chemotaxis, the directed migration of bacteria in a gradient of chemoattractant, is one of the most well-studied and well-understood processes in cell biology. On the other hand, bacterial thermotaxis, the directed migration of bacteria in a gradient of temperature, is understood relatively poorly, with somewhat conflicting reports by different groups. One of the reasons for that is the relative technical difficulty of the generation of well-defined gradients of temperature that are sufficiently steep to elicit readily detectable thermotaxis. Here, we used a specially designed microfluidic device to study thermotaxis of Escherichia coli in a broad range of thermal gradients with a high rate of data collection. We found that in shallow temperature gradients with narrow temperature ranges, E. coli tended to aggregate near a sidewall of the gradient channel at either the lowest or the highest temperature. On the other hand, in sufficiently steep gradients with wide temperature ranges, E. coli aggregated at intermediate temperatures, with maximal cell concentrations found away from the sidewalls. We observed this intermediate temperature aggregation in a motility buffer that did not contain any major chemoattractants of E. coli, in contradiction to some previous reports, which suggested that this type of aggregation required the presence of at least one major chemoattractant in the medium. Even more surprisingly, the aggregation temperature strongly depended on the gradient steepness, decreasing by ∼10° as the steepness was increased from 27 to 53°C/mm. Our experiments also highlight the fact that assessments of thermal gradients by changes in fluorescence of temperature-sensitive fluorescent dyes need to account for thermophoresis of the dyes.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32348719      PMCID: PMC7264810          DOI: 10.1016/j.bpj.2020.02.033

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  35 in total

1.  Effects of population density and chemical environment on the behavior of Escherichia coli in shallow temperature gradients.

Authors:  Mahmut Demir; Carine Douarche; Anna Yoney; Albert Libchaber; Hanna Salman
Journal:  Phys Biol       Date:  2011-11-04       Impact factor: 2.583

Review 2.  Microfluidics for bacterial chemotaxis.

Authors:  Tanvir Ahmed; Thomas S Shimizu; Roman Stocker
Journal:  Integr Biol (Camb)       Date:  2010-10-21       Impact factor: 2.192

3.  Solitary modes of bacterial culture in a temperature gradient.

Authors:  H Salman; A Zilman; C Loverdo; M Jeffroy; A Libchaber
Journal:  Phys Rev Lett       Date:  2006-09-11       Impact factor: 9.161

Review 4.  Bacterial chemoreceptors: high-performance signaling in networked arrays.

Authors:  Gerald L Hazelbauer; Joseph J Falke; John S Parkinson
Journal:  Trends Biochem Sci       Date:  2007-12-31       Impact factor: 13.807

5.  Thermosensing function of the Escherichia coli redox sensor Aer.

Authors:  So-ichiro Nishiyama; Shinji Ohno; Noriko Ohta; Yuichi Inoue; Hajime Fukuoka; Akihiko Ishijima; Ikuro Kawagishi
Journal:  J Bacteriol       Date:  2010-01-22       Impact factor: 3.490

6.  Bacterial thermotaxis by speed modulation.

Authors:  Mahmut Demir; Hanna Salman
Journal:  Biophys J       Date:  2012-10-16       Impact factor: 4.033

7.  Effect of temperature on motility and chemotaxis of Escherichia coli.

Authors:  K Maeda; Y Imae; J I Shioi; F Oosawa
Journal:  J Bacteriol       Date:  1976-09       Impact factor: 3.490

8.  A three-channel microfluidic device for generating static linear gradients and its application to the quantitative analysis of bacterial chemotaxis.

Authors:  Jinpian Diao; Lincoln Young; Sue Kim; Elizabeth A Fogarty; Steven M Heilman; Peng Zhou; Michael L Shuler; Mingming Wu; Matthew P DeLisa
Journal:  Lab Chip       Date:  2005-12-13       Impact factor: 6.799

9.  pH-Taxis of Biohybrid Microsystems.

Authors:  Jiang Zhuang; Rika Wright Carlsen; Metin Sitti
Journal:  Sci Rep       Date:  2015-06-15       Impact factor: 4.379

10.  Mechanism of bidirectional thermotaxis in Escherichia coli.

Authors:  Anja Paulick; Vladimir Jakovljevic; SiMing Zhang; Michael Erickstad; Alex Groisman; Yigal Meir; William S Ryu; Ned S Wingreen; Victor Sourjik
Journal:  Elife       Date:  2017-08-03       Impact factor: 8.140

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