Literature DB >> 8850542

Use of computer-assisted motion analysis for quantitative measurements of swimming behavior in peritrichously flagellated bacteria.

C D Amsler1.   

Abstract

An assay was developed which identifies individual bacterial tumbles and so allows rapid, quantitative measurements of tumble frequency in free-swimming bacteria. Tumble frequency is modulated by cells to enable chemotaxis. Mutations in the chemotaxis signal transduction pathway typically have phenotypes of altered tumble frequency. The purpose of this assay is to quantitatively measure steady-state tumble frequency to enable comparisons of mutant strain phenotypes. It was developed using Escherichia coli but should be applicable to other species with a peritrichous flagellation pattern, such as Salmonella typhimurium. Tumbles are defined by a combination of the parameters rate of change of direction and swimming speed, with a rapid change of direction defining the beginning of a tumble and increased swimming speed defining the end. These parameters have previously been shown to be correlated with tumbles in general but not used to identify discrete tumble events. The computer assay was validated by comparing its results with manual observations by eye. The assay was intended to be most sensitive to swimming patterns similar to wild type so as to resolve subtle changes which would result from partial-function mutations. It quantitatively detects extreme behavioral phenotypes as well and can be modified to increase resolution at either extreme if necessary.

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Year:  1996        PMID: 8850542     DOI: 10.1006/abio.1996.0086

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  6 in total

1.  Abnormal turning behavior in Drosophila larvae. Identification and molecular analysis of scribbler (sbb).

Authors:  P Yang; S A Shaver; A J Hilliker; M B Sokolowski
Journal:  Genetics       Date:  2000-07       Impact factor: 4.562

2.  Rapid antibiotic susceptibility testing based on bacterial motion patterns with long short-term memory neural networks.

Authors:  Rafael Iriya; Wenwen Jing; Karan Syal; Manni Mo; Chao Chen; Hui Yu; Shelley E Haydel; Shaopeng Wang; Nongjian Tao
Journal:  IEEE Sens J       Date:  2020-01-17       Impact factor: 3.301

3.  Tyrosine 106 of CheY plays an important role in chemotaxis signal transduction in Escherichia coli.

Authors:  X Zhu; C D Amsler; K Volz; P Matsumura
Journal:  J Bacteriol       Date:  1996-07       Impact factor: 3.490

4.  Response regulator output in bacterial chemotaxis.

Authors:  U Alon; L Camarena; M G Surette; B Aguera y Arcas; Y Liu; S Leibler; J B Stock
Journal:  EMBO J       Date:  1998-08-03       Impact factor: 11.598

5.  Structure-based design of a periplasmic binding protein antagonist that prevents domain closure.

Authors:  M Jack Borrok; Yimin Zhu; Katrina T Forest; Laura L Kiessling
Journal:  ACS Chem Biol       Date:  2009-06-19       Impact factor: 5.100

6.  Novel methods for analysing bacterial tracks reveal persistence in Rhodobacter sphaeroides.

Authors:  Gabriel Rosser; Alexander G Fletcher; David A Wilkinson; Jennifer A de Beyer; Christian A Yates; Judith P Armitage; Philip K Maini; Ruth E Baker
Journal:  PLoS Comput Biol       Date:  2013-10-24       Impact factor: 4.475

  6 in total

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