Model-based definition of population heterogeneity and its effects on metabolism in sporulating Bacillus subtilis.
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.
Morohashi
Mineo
M
Human Metabolome Technologies, Inc., Tsuruoka, Yamagata 997-0052, Japan.
Ohashi
Yoshiaki
Y
Tani
Saeka
S
Ishii
Kotaro
K
Itaya
Mitsuhiro
M
Nanamiya
Hideaki
H
Kawamura
Fujio
F
Tomita
Masaru
M
Soga
Tomoyoshi
T
D001412:Bacillus subtilis / Q000378:metabolism* / Q000502:physiology; D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism; D008954:Models, Biological; D009154:Mutation; D013171:Spores, Bacterial / Q000254:growth & development / Q000502:physiology; D013997:Time Factors
D001426:Bacterial Proteins