Literature DB >> 26039821

Microtiter plate tests for segregation of bioluminescent bacteria.

Remigijus Šimkus1, Rita Meškienė1, Žilvinas Ledas2, Romas Baronas2, Rolandas Meškys1.   

Abstract

It has been recently shown that bioluminescence imaging can be usefully applied to provide new insights into bacterial self-organization. In this work we employ bioluminescence imaging to record images of nutrient rich liquid cultures of the lux-gene reporter Escherichia coli in microtiter plate wells. The images show that patterns of inhomogenous bioluminescence form along the three-phase contact lines. The paper analyzes the dependencies of the average number of luminous aggregates (clouds) on various environmental factors. In particular, our results show that optimal (neutral) pH and high aeration rates determine the highest mean number of clouds, and that spatiotemporal patterns do not form in the pH buffered suspensions. In addition, a sigmoidal (switch-like) dependence of the number of aggregates on the rate of aeration was observed. The obtained bioluminescence imaging data was interpreted by employing the Keller-Segel-Fisher (KSF) model of chemotaxis and logistic growth, adapted to systems of metabolically flexible (two-state) bacteria. The modified KSF model successfully simulated the observed switch-like responses. The results of the microtiter plate tests and their simulations indicate that the segregation of bacteria with different activities proceeds in the three-phase contact line region.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  bioluminescence; chemotaxis; imaging; oxygen; patterns

Mesh:

Year:  2015        PMID: 26039821     DOI: 10.1002/bio.2934

Source DB:  PubMed          Journal:  Luminescence        ISSN: 1522-7235            Impact factor:   2.464


  1 in total

1.  Phoretic interactions and oscillations in active suspensions of growing Escherichia coli.

Authors:  Remigijus Šimkus; Rita Meškienė; Agota Aučynaitė; Žilvinas Ledas; Romas Baronas; Rolandas Meškys
Journal:  R Soc Open Sci       Date:  2018-05-30       Impact factor: 2.963

  1 in total

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