Literature DB >> 20869244

Individual-level bet hedging in the bacterium Sinorhizobium meliloti.

William C Ratcliff1, R Ford Denison.   

Abstract

The expression of phenotypic variability can enhance geometric mean fitness and act as a bet-hedging strategy in unpredictable environments. Metazoan bet hedging usually involves phenotypic diversification among an individual's offspring, such as differences in seed dormancy. Virtually all known microbial bet-hedging strategies, in contrast, rely on low-probability stochastic switching of a heritable phenotype by individual cells in a clonal group. This is less effective at generating within-group diversity when group size is small. Here we describe a novel microbial bet-hedging behavior that resembles individual-level metazoan bet hedging. Sinorhizobium meliloti stores carbon and energy in poly-3-hydroxybutyrate (PHB) as a contingency against carbon scarcity. We show that, when starved, dividing S. meliloti bet hedge by forming two daughter cells with different phenotypes. These have high and low PHB levels and are suited to long- and short-term starvation, respectively. The low-PHB cells have greater competitiveness for resources, whereas the high-PHB cells can survive for over a year without food, perhaps until a legume host is next available.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20869244     DOI: 10.1016/j.cub.2010.08.036

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  36 in total

1.  Switching between apparently redundant iron-uptake mechanisms benefits bacteria in changeable environments.

Authors:  Zoé Dumas; Adin Ross-Gillespie; Rolf Kümmerli
Journal:  Proc Biol Sci       Date:  2013-06-12       Impact factor: 5.349

Review 2.  Modes of response to environmental change and the elusive empirical evidence for bet hedging.

Authors:  Andrew M Simons
Journal:  Proc Biol Sci       Date:  2011-03-16       Impact factor: 5.349

3.  Inferring epigenetic dynamics from kin correlations.

Authors:  Sahand Hormoz; Nicolas Desprat; Boris I Shraiman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-22       Impact factor: 11.205

4.  Wide lag time distributions break a trade-off between reproduction and survival in bacteria.

Authors:  Stefany Moreno-Gámez; Daniel J Kiviet; Clément Vulin; Susan Schlegel; Kim Schlegel; G Sander van Doorn; Martin Ackermann
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-15       Impact factor: 11.205

5.  Gene functional trade-offs and the evolution of pleiotropy.

Authors:  Frédéric Guillaume; Sarah P Otto
Journal:  Genetics       Date:  2012-09-14       Impact factor: 4.562

6.  Evolution of microbial markets.

Authors:  Gijsbert D A Werner; Joan E Strassmann; Aniek B F Ivens; Daniel J P Engelmoer; Erik Verbruggen; David C Queller; Ronald Noë; Nancy Collins Johnson; Peter Hammerstein; E Toby Kiers
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

7.  Inclusive fitness in agriculture.

Authors:  E Toby Kiers; R Ford Denison
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-03-31       Impact factor: 6.237

Review 8.  A bacterial signaling system regulates noise to enable bet hedging.

Authors:  Jeffrey N Carey; Mark Goulian
Journal:  Curr Genet       Date:  2018-06-12       Impact factor: 3.886

9.  Phenotypic heterogeneity driven by nutrient limitation promotes growth in fluctuating environments.

Authors:  Frank Schreiber; Sten Littmann; Gaute Lavik; Stéphane Escrig; Anders Meibom; Marcel M M Kuypers; Martin Ackermann
Journal:  Nat Microbiol       Date:  2016-05-09       Impact factor: 17.745

10.  A touch of sleep: biophysical model of contact-mediated dormancy of archaea by viruses.

Authors:  Hayriye Gulbudak; Joshua S Weitz
Journal:  Proc Biol Sci       Date:  2016-09-28       Impact factor: 5.349

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