Diversity in times of adversity: probabilistic strategies in microbial survival games.

By Denise M. Wolf, Vijay V. Vazirani, Adam P. Arkin. Journal of Theoretical Biology, 2005

294 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/409d17dabec0fec6ce51d1f2a54d429ddc34cd25

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Alexander van Oudenaarden
2. James J. Collins
3. Arjun Raj
4. Michael A. Kohanski
5. Miguel Angel Muñoz
6. Farren J. Isaacs
7. Dongbin Xiu
8. Johan Paulsson

In Molecular Biology

1. Alexander van Oudenaarden
2. James J. Collins
3. Arjun Raj
4. G. Balázsi
5. Michael A. Kohanski
6. Miguel Angel Muñoz
7. Farren J. Isaacs
8. Dongbin Xiu

In Sociology and Political Science

1. Miguel Angel Muñoz
2. Alexander van Oudenaarden

Citations in the corpus

• Cellular Decision-Making and Biological Noise: From Microbes to Mammals (2011, background): “Theory has also shown that a population of cells capable of random phenotypic switching can have an advantage in a fluctuating environment (Kussell 4, March 18, 2011 ª2011 Elsevier Inc. 911 and Leibler, 2005; Thattai and van Oudenaarden, 2004; Wolf et al., 2005).”
• Colloquium: Criticality and dynamical scaling in living systems (2017, background): “39 Indeed, clonal populations of unicellular organisms such as viruses or bacteria often exhibit phenotypic diversity, which constitutes a sort of “bet-hedging” strategy to cope with unpredictable environmental changes (Kussell and Leibler, 2005; Veening et al., 2008; Wolf et al., 2005).”
• Phenotypic consequences of promoter-mediated transcriptional noise. (2006, background): “Recent theoretical work (Thattai and van Oudenaarden, 2004; Wolf et al., 2005; Kussell and Leibler, 2005) has also shown that heterogeneous, or noisy, population-scale responses to stimuli may be beneficial under fluctuating environmental conditions.”
• Stochastic gene expression and its consequences (2008, background): “One idea is that having individual cells stochastically switch between activating or inactivating a metabolic pathway could confer a fitness advantage to the overall population in fluctuating environments (Kussell and Leibler, 2005; Thattai and van Oudenaarden, 2004; Wolf et al., 2005).”
• Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. (2011, unknown): “Such probabilistic behavior has been shown to be advantageous in certain environmental conditions (Kussell and Leibler, 2005; Thattai and van Oudenaarden, 2004; Wolf et al., 2005).”