Literature DB >> 17545249

Model-based definition of population heterogeneity and its effects on metabolism in sporulating Bacillus subtilis.

Mineo Morohashi1, Yoshiaki Ohashi, Saeka Tani, Kotaro Ishii, Mitsuhiro Itaya, Hideaki Nanamiya, Fujio Kawamura, Masaru Tomita, Tomoyoshi Soga.   

Abstract

The soil bacterium Bacillus subtilis forms dormant, robust spores as a tactic to ensure survival under conditions of starvation. However, the sporulating culture includes sporulating and non-sporulating cells, because a portion of the cell population initiates sporulation in wild-type strain. We anticipated that the population effect must be considered carefully to analyse samples yielding population heterogeneity. We first built a mathematical model and simulated for signal transduction of the sporulation cue to see what mechanisms are responsible for generating the heterogeneity. The simulated results were confirmed experimentally, where heterogeneity is primarily modulated by negative feedback circuits, resulting in generation of a bistable response within the sporulating culture. We also confirmed that mutants relevant to negative feedback yield either sporulating or non-sporulating subpopulations. To see the effect of molecular mechanism between sporulating and non-sporulating cells in distinct manner, metabolome analysis was conducted using the above mutants. The metabolic profiles exhibited distinct characteristics with time regardless of whether sporulation was initiated or not. In addition, several distinct characteristics of metabolites were observed between strains, which was inconsistent with previously reported data. The results imply that careful consideration must be made in the interpretation of data obtained from cells yielding population heterogeneity.

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Year:  2007        PMID: 17545249     DOI: 10.1093/jb/mvm121

Source DB:  PubMed          Journal:  J Biochem        ISSN: 0021-924X            Impact factor:   3.387


  7 in total

1.  Broadly heterogeneous activation of the master regulator for sporulation in Bacillus subtilis.

Authors:  Arnaud Chastanet; Dennis Vitkup; Guo-Cheng Yuan; Thomas M Norman; Jun S Liu; Richard M Losick
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-19       Impact factor: 11.205

2.  Ultrasensitivity of the Bacillus subtilis sporulation decision.

Authors:  Jatin Narula; Seram N Devi; Masaya Fujita; Oleg A Igoshin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-19       Impact factor: 11.205

Review 3.  Options and Limitations in Clinical Investigation of Bacterial Biofilms.

Authors:  Maria Magana; Christina Sereti; Anastasios Ioannidis; Courtney A Mitchell; Anthony R Ball; Emmanouil Magiorkinis; Stylianos Chatzipanagiotou; Michael R Hamblin; Maria Hadjifrangiskou; George P Tegos
Journal:  Clin Microbiol Rev       Date:  2018-04-04       Impact factor: 26.132

Review 4.  Integration of metabolism and virulence in Clostridium difficile.

Authors:  Laurent Bouillaut; Thomas Dubois; Abraham L Sonenshein; Bruno Dupuy
Journal:  Res Microbiol       Date:  2014-10-15       Impact factor: 3.992

Review 5.  Bistable responses in bacterial genetic networks: designs and dynamical consequences.

Authors:  Abhinav Tiwari; J Christian J Ray; Jatin Narula; Oleg A Igoshin
Journal:  Math Biosci       Date:  2011-03-06       Impact factor: 2.144

Review 6.  Metabolomic Studies of Oral Biofilm, Oral Cancer, and Beyond.

Authors:  Jumpei Washio; Nobuhiro Takahashi
Journal:  Int J Mol Sci       Date:  2016-06-02       Impact factor: 5.923

7.  Different Polar Metabolites and Protein Profiles between High- and Low-Quality Japanese Ginjo Sake.

Authors:  Kei Takahashi; Hiromi Kohno
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  7 in total

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