ON Λ-FLEMING-VIOT PROCESSES WITH GENERAL FREQUENCY-DEPENDENT SELECTION

被引:4
作者
Gonzalez Casanova, Adrian [1 ]
Smadi, Charline [2 ,3 ]
机构
[1] Univ Nacl Autonoma Mexico, Mexico City 04510, DF, Mexico
[2] Univ Grenoble Alpes, INRAE, LESSEM, F-38610 Gieres, France
[3] CNRS, Inst Fourier, F-38610 Gieres, France
关键词
Lambda-Fleming-Viot process; frequency-dependent selection; population genetics; ancestral process; multidimensional SDEs with jumps; COMPETITIVE RELATIONSHIPS; GAME; EQUATIONS; EVOLUTION;
D O I
10.1017/jpr.2020.55
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We construct a multitype constant-size population model allowing for general selective interactions as well as extreme reproductive events. Our multidimensional model aims for the generality of adaptive dynamics and the tractability of population genetics. It generalises the idea of Krone and Neuhauser [39] and Gonzalez Casanova and Spano [29], who represented the selection by allowing individuals to sample several potential parents in the previous generation before choosing the 'strongest' one, by allowing individuals to use any rule to choose their parent. The type of the newborn can even not be one of the types of the potential parents, which allows modelling mutations. Via a large population limit, we obtain a generalisation of Lambda-Fleming-Viot processes, with a diffusion term and a general frequency-dependent selection, which allows for nontransitive interactions between the different types present in the population. We provide some properties of these processes related to extinction and fixation events, and give conditions for them to be realised as unique strong solutions of multidimensional stochastic differential equations with jumps. Finally, we illustrate the generality of our model with applications to some classical biological interactions. This framework provides a natural bridge between two of the most prominent modelling frameworks of biological evolution: population genetics and eco-evolutionary models.
引用
收藏
页码:1162 / 1197
页数:36
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  • [11] COMPETITIVE NETWORKS - NON-TRANSITIVE COMPETITIVE RELATIONSHIPS IN CRYPTIC CORAL-REEF ENVIRONMENTS
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    JACKSON, JBC
    [J]. AMERICAN NATURALIST, 1979, 113 (02) : 223 - 234
  • [12] Parasite-grass-forb interactions and rock-paper- scissor dynamics: predicting the effects of the parasitic plant Rhinanthus minor on host plant communities
    Cameron, Duncan D.
    White, Andy
    Antonovics, Janis
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  • [14] A microscopic interpretation for adaptive dynamics trait substitution sequence models
    Champagnat, Nicolas
    [J]. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2006, 116 (08) : 1127 - 1160
  • [15] Adaptation in a stochastic multi-resources chemostat model
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    Jabin, Pierre-Emmanuel
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    [J]. JOURNAL DE MATHEMATIQUES PURES ET APPLIQUEES, 2014, 101 (06): : 755 - 788
  • [16] Polymorphic evolution sequence and evolutionary branching
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    Chouteau, Mathieu
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    Joron, Mathieu
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  • [19] Cordero F., 2019, GEN SELECTION MODELS
  • [20] Impact of demography on extinction/fixation events
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