Exclusion rules, bottlenecks and the evolution of stochastic phenotype switching

被引:40
|
作者
Libby, Eric [1 ,2 ]
Rainey, Paul B. [1 ,2 ,3 ]
机构
[1] Massey Univ, N Shore Mail Ctr, New Zealand Inst Adv Study, Auckland 0745, New Zealand
[2] Massey Univ, N Shore Mail Ctr, Allan Wilson Ctr Mol Ecol & Evolut, Auckland 0745, New Zealand
[3] Max Planck Inst Evolutionary Biol, D-24306 Plon, Germany
关键词
stochastic switching; origins; immune response; exclusion rule; bottleneck; GENE-EXPRESSION; BACTERIAL PERSISTENCE; ADAPTIVE EVOLUTION; DIVERSITY; SURVIVAL; FITNESS; ENVIRONMENT; SELECTION; GROWTH; TIMES;
D O I
10.1098/rspb.2011.0146
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Stochastic phenotype switching-often considered a bet hedging or risk-reducing strategy-can enhance the probability of survival in fluctuating environments. A recent experiment provided direct evidence for an adaptive origin by showing the de novo evolution of switching in bacterial populations propagated under a selective regime that captured essential features of the host immune response. The regime involved strong frequency-dependent selection realized via dual imposition of an exclusion rule and population bottleneck. Applied at the point of transfer between environments, the phenotype common in the current environment was assigned a fitness of zero and was thus excluded from participating in the next round (the exclusion rule). In addition, also at the point of transfer, and so as to found the next bout of selection, a single phenotypically distinct type was selected at random from among the survivors (the bottleneck). Motivated by this experiment, we develop a mathematical model to explore the broader significance of key features of the selective regime. Through a combination of analytical and numerical results, we show that exclusion rules and population bottlenecks act in tandem as potent selective agents for stochastic phenotype switching, such that even when initially rare, and when switching engenders a cost in Malthusian fitness, organisms with the capacity to switch can invade non-switching populations and replace non-switching types. Simulations demonstrate the robustness of our findings to alterations in switching rate, fidelity of exclusion, bottleneck size, duration of environmental state and growth rate. We also demonstrate the relevance of our model to a range of biological scenarios such as bacterial persistence and the evolution of sex.
引用
收藏
页码:3574 / 3583
页数:10
相关论文
共 50 条
  • [11] Asymmetric simple exclusion processes with diffusive bottlenecks
    Klumpp, S
    Lipowsky, R
    PHYSICAL REVIEW E, 2004, 70 (06):
  • [12] Evolution of Stochastic Switching Rates in Asymmetric Fitness Landscapes
    Salathe, Marcel
    Van Cleve, Jeremy
    Feldman, Marcus W.
    GENETICS, 2009, 182 (04) : 1159 - 1164
  • [13] A role of stochastic phenotype switching in generating mosaic endothelial cell heterogeneity
    Yuan, Lei
    Chan, Gary C.
    Beeler, David
    Janes, Lauren
    Spokes, Katherine C.
    Dharaneeswaran, Harita
    Mojiri, Anahita
    Adams, William J.
    Sciuto, Tracey
    Garcia-Cardena, Guillermo
    Molema, Grietje
    Kang, Peter M.
    Jahroudi, Nadia
    Marsden, Philip A.
    Dvorak, Ann
    Regan, Erzsebet Ravasz
    Aird, William C.
    NATURE COMMUNICATIONS, 2016, 7
  • [14] A role of stochastic phenotype switching in generating mosaic endothelial cell heterogeneity
    Lei Yuan
    Gary C. Chan
    David Beeler
    Lauren Janes
    Katherine C. Spokes
    Harita Dharaneeswaran
    Anahita Mojiri
    William J. Adams
    Tracey Sciuto
    Guillermo Garcia-Cardeña
    Grietje Molema
    Peter M. Kang
    Nadia Jahroudi
    Philip A. Marsden
    Ann Dvorak
    Erzsébet Ravasz Regan
    William C. Aird
    Nature Communications, 7
  • [15] Stochastic phenotype switching leads to intratumor heterogeneity in human liver cancer
    Matak, Andrija
    Lahiri, Pooja
    Ford, Ethan
    Pabst, Daniela
    Kashofer, Karl
    Stellas, Dimitris
    Thanos, Dimitris
    Zatloukal, Kurt
    HEPATOLOGY, 2018, 68 (03) : 933 - 948
  • [16] Stochastic Evolution of Rules for Playing Finite Normal Form Games
    Fabrizio Germano
    Theory and Decision, 2007, 62 : 311 - 333
  • [17] Stochastic evolution of rules for playing finite normal form games
    Germano, Fabrizio
    THEORY AND DECISION, 2007, 62 (04) : 311 - 333
  • [18] Stochastic Phenotype Transition of a Single Cell in an Intermediate Region of Gene State Switching
    Ge, Hao
    Qian, Hong
    Xie, X. Sunney
    PHYSICAL REVIEW LETTERS, 2015, 114 (07)
  • [19] A stochastic single-molecule event triggers phenotype switching of a bacterial cell
    Choi, Paul J.
    Cai, Long
    Frieda, Kirsten
    Xie, Sunney
    SCIENCE, 2008, 322 (5900) : 442 - 446
  • [20] A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell
    Xie, X. Sunney
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2009, 26 (06): : 802 - 802