| Autor: |
de Groot DH; Biozentrum and Swiss Institute of Bioinformatics, University of Basel, Basel 4056, Switzerland.; Systems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit, Amsterdam 1081HZ, The Netherlands., Tjalma AJ; Systems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit, Amsterdam 1081HZ, The Netherlands.; Institute for Atomic and Molecular Physics, Amsterdam 1098XG, The Netherlands., Bruggeman FJ; Systems Biology Lab, Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit, Amsterdam 1081HZ, The Netherlands., van Nimwegen E; Biozentrum and Swiss Institute of Bioinformatics, University of Basel, Basel 4056, Switzerland. |
| Abstrakt: |
Microbes in the wild face highly variable and unpredictable environments and are naturally selected for their average growth rate across environments. Apart from using sensory regulatory systems to adapt in a targeted manner to changing environments, microbes employ bet-hedging strategies where cells in an isogenic population switch stochastically between alternative phenotypes. Yet, bet-hedging suffers from a fundamental trade-off: Increasing the phenotype-switching rate increases the rate at which maladapted cells explore alternative phenotypes but also increases the rate at which cells switch out of a well-adapted state. Consequently, it is currently believed that bet-hedging strategies are effective only when the number of possible phenotypes is limited and when environments last for sufficiently many generations. However, recent experimental results show that gene expression noise generally decreases with growth rate, suggesting that phenotype-switching rates may systematically decrease with growth rate. Such growth rate dependent stability (GRDS) causes cells to be more explorative when maladapted and more phenotypically stable when well-adapted, and we show that GRDS can almost completely overcome the trade-off that limits bet-hedging, allowing for effective adaptation even when environments are diverse and change rapidly. We further show that even a small decrease in switching rates of faster-growing phenotypes can substantially increase long-term fitness of bet-hedging strategies. Together, our results suggest that stochastic strategies may play an even bigger role for microbial adaptation than hitherto appreciated. |
