Literature DB >> 31127043

Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains.

Sabrina Rashid1, Zhicheng Long2,3, Shashank Singh4,5, Maryam Kohram2, Harsh Vashistha2, Saket Navlakha6, Hanna Salman7,8, Zoltán N Oltvai9,8, Ziv Bar-Joseph10,4.   

Abstract

The mechanisms of bacterial chemotaxis have been extensively studied for several decades, but how the physical environment influences the collective migration of bacterial cells remains less understood. Previous models of bacterial chemotaxis have suggested that the movement of migrating bacteria across obstacle-laden terrains may be slower compared with terrains without them. Here, we show experimentally that the size or density of evenly spaced obstacles do not alter the average exit rate of Escherichia coli cells from microchambers in response to external attractants, a function that is dependent on intact cell-cell communication. We also show, both by analyzing a revised theoretical model and by experimentally following single cells, that the reduced exit time in the presence of obstacles is a consequence of reduced tumbling frequency that is adjusted by the E. coli cells in response to the topology of their environment. These findings imply operational short-term memory of bacteria while moving through complex environments in response to chemotactic stimuli and motivate improved algorithms for self-autonomous robotic swarms.

Entities:  

Keywords:  bacteria; chemotaxis; tumbling

Year:  2019        PMID: 31127043      PMCID: PMC6575235          DOI: 10.1073/pnas.1816315116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

1.  Modelling run-and-tumble chemotaxis in a shear flow.

Authors:  R N Bearon; T J Pedley
Journal:  Bull Math Biol       Date:  2000-07       Impact factor: 1.758

2.  Particle diffusion in a quasi-two-dimensional bacterial bath.

Authors:  X L Wu; A Libchaber
Journal:  Phys Rev Lett       Date:  2000-03-27       Impact factor: 9.161

3.  Function, diversity, and evolution of signal transduction in prokaryotes.

Authors:  Rasika M Harshey; Ikuro Kawagishi; Janine Maddock; Linda J Kenney
Journal:  Dev Cell       Date:  2003-04       Impact factor: 12.270

4.  From molecular noise to behavioural variability in a single bacterium.

Authors:  Ekaterina Korobkova; Thierry Emonet; Jose M G Vilar; Thomas S Shimizu; Philippe Cluzel
Journal:  Nature       Date:  2004-04-01       Impact factor: 49.962

Review 5.  Making sense of it all: bacterial chemotaxis.

Authors:  George H Wadhams; Judith P Armitage
Journal:  Nat Rev Mol Cell Biol       Date:  2004-12       Impact factor: 94.444

Review 6.  Quorum sensing: cell-to-cell communication in bacteria.

Authors:  Christopher M Waters; Bonnie L Bassler
Journal:  Annu Rev Cell Dev Biol       Date:  2005       Impact factor: 13.827

7.  Bacterial metapopulations in nanofabricated landscapes.

Authors:  Juan E Keymer; Peter Galajda; Cecilia Muldoon; Sungsu Park; Robert H Austin
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-07       Impact factor: 11.205

8.  A wall of funnels concentrates swimming bacteria.

Authors:  Peter Galajda; Juan Keymer; Paul Chaikin; Robert Austin
Journal:  J Bacteriol       Date:  2007-09-21       Impact factor: 3.490

9.  Robust single-particle tracking in live-cell time-lapse sequences.

Authors:  Khuloud Jaqaman; Dinah Loerke; Marcel Mettlen; Hirotaka Kuwata; Sergio Grinstein; Sandra L Schmid; Gaudenz Danuser
Journal:  Nat Methods       Date:  2008-07-20       Impact factor: 28.547

10.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Authors:  Anne E Carpenter; Thouis R Jones; Michael R Lamprecht; Colin Clarke; In Han Kang; Ola Friman; David A Guertin; Joo Han Chang; Robert A Lindquist; Jason Moffat; Polina Golland; David M Sabatini
Journal:  Genome Biol       Date:  2006-10-31       Impact factor: 13.583

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  2 in total

1.  E. coli takes every hurdle in stride.

Authors:  Ursula Hofer
Journal:  Nat Rev Microbiol       Date:  2019-08       Impact factor: 60.633

2.  Habitat geometry in artificial microstructure affects bacterial and fungal growth, interactions, and substrate degradation.

Authors:  Carlos Arellano-Caicedo; Pelle Ohlsson; Martin Bengtsson; Jason P Beech; Edith C Hammer
Journal:  Commun Biol       Date:  2021-10-26
  2 in total

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