Exclusion rules, bottlenecks and the evolution of stochastic phenotype switching
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作者:
Libby, Eric
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Massey Univ, N Shore Mail Ctr, New Zealand Inst Adv Study, Auckland 0745, New Zealand
Massey Univ, N Shore Mail Ctr, Allan Wilson Ctr Mol Ecol & Evolut, Auckland 0745, New ZealandMassey Univ, N Shore Mail Ctr, New Zealand Inst Adv Study, Auckland 0745, New Zealand
Libby, Eric
[1
,2
]
Rainey, Paul B.
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Massey Univ, N Shore Mail Ctr, New Zealand Inst Adv Study, Auckland 0745, New Zealand
Massey Univ, N Shore Mail Ctr, Allan Wilson Ctr Mol Ecol & Evolut, Auckland 0745, New Zealand
Max Planck Inst Evolutionary Biol, D-24306 Plon, GermanyMassey Univ, N Shore Mail Ctr, New Zealand Inst Adv Study, Auckland 0745, New Zealand
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
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.
机构:
Univ York, York Ctr Complex Syst Anal, Block Dept Biol S, York YO10 5YW, N Yorkshire, England
Univ Oxford, Syst Biol Doctoral Training Ctr, Oxford OX1 3QD, EnglandUniv York, York Ctr Complex Syst Anal, Block Dept Biol S, York YO10 5YW, N Yorkshire, England
Gaal, Bernadett
Pitchford, Jonathan W.
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Univ York, Dept Math, York YO10 5DD, N Yorkshire, England
Univ York, Dept Biol, York YO10 5YW, N Yorkshire, EnglandUniv York, York Ctr Complex Syst Anal, Block Dept Biol S, York YO10 5YW, N Yorkshire, England
Pitchford, Jonathan W.
Wood, A. Jamie
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Univ York, Dept Math, York YO10 5DD, N Yorkshire, England
Univ York, Dept Biol, York YO10 5YW, N Yorkshire, EnglandUniv York, York Ctr Complex Syst Anal, Block Dept Biol S, York YO10 5YW, N Yorkshire, England
机构:
LMAM, School of Mathematical Sciences, Peking University
Beijing International Center for Mathematical ResearchLMAM, School of Mathematical Sciences, Peking University
Chen Jia
Minping Qian
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LMAM, School of Mathematical Sciences, Peking UniversityLMAM, School of Mathematical Sciences, Peking University
Minping Qian
Yu Kang
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CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of SciencesLMAM, School of Mathematical Sciences, Peking University
Yu Kang
Daquan Jiang
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LMAM, School of Mathematical Sciences, Peking University
Center for Statistical Science, PekingLMAM, School of Mathematical Sciences, Peking University
机构:
Hong Kong Polytech Univ, Dept Civil & Struct Engn, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Civil & Struct Engn, Hong Kong, Hong Kong, Peoples R China
机构:
Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Taipei Med Univ, Coll Med Sci & Technol, Sch Med Lab Sci & Biotechnol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Lee, Chi-Hsin
Huang, Peng-Nien
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Chang Gung Univ, Res Ctr Emerging Viral Infect, Taoyuan 333423, Taiwan
Linkou Chang Gung Mem Hosp, Dept Pediat, Div Infect Dis, Taoyuan 333423, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Huang, Peng-Nien
Mwale, Pharaoh Fellow
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Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Taipei Med Univ, Coll Med Sci & Technol, Sch Med Lab Sci & Biotechnol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Mwale, Pharaoh Fellow
Wang, Wei-Chu
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Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Wang, Wei-Chu
Leu, Sy-Jye
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Taipei Med Univ, Coll Med, Grad Inst Med Sci, Taipei 110301, Taiwan
Taipei Med Univ, Coll Med, Sch Med, Dept Microbiol & Immunol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Leu, Sy-Jye
Tseng, Sung-Nien
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Chang Gung Univ, Res Ctr Emerging Viral Infect, Taoyuan 333423, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Tseng, Sung-Nien
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Shih, Shin-Ru
Chiang, Liao-Chun
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Natl Tsing Hua Univ, Coll Life Sci, Hsinchu 300040, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Chiang, Liao-Chun
Mao, Yan-Chiao
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Taichung Vet Gen Hosp, Dept Emergency Med, Div Clin Toxicol, Taichung 407219, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Mao, Yan-Chiao
Tsai, Bor-Yu
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Navi Biotherapeut Inc, Taipei 10351, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Tsai, Bor-Yu
Dlamini, Nhlanhla Benedict
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Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Dlamini, Nhlanhla Benedict
Nguyen, Tien-Cuong
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Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Nguyen, Tien-Cuong
Tsai, Chen-Hsin
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Taipei Med Univ Hosp, Dept Ophthalmol, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Tsai, Chen-Hsin
Yang, Yi-Yuan
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Taipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
Taipei Med Univ, Coll Med Sci & Technol, Sch Med Lab Sci & Biotechnol, Taipei 110301, Taiwan
Taipei Med Univ, Core Lab Antibody Generat & Res, Taipei 110301, TaiwanTaipei Med Univ, Coll Med Sci & Technol, PhD Program Med Biotechnol, Taipei 110301, Taiwan
机构:
Univ Michigan, Dept Anthropol, Paleoanthropol Lab, Ann Arbor, MI 48109 USAUniv Michigan, Dept Anthropol, Paleoanthropol Lab, Ann Arbor, MI 48109 USA