Coevolutionary dynamics in one-to-many mutualistic systems

被引:3
|
作者
Ezoe, Hideo [1 ]
机构
[1] Osaka Prefecture Univ, Grad Sch Sci, Dept Biol Sci, Naka Ku, 1-1 Gakuen Cho, Sakai, Osaka 5998531, Japan
基金
日本学术振兴会;
关键词
Cooperativeness; Partner choice; Maintenance of variation; Indiscriminator host; EVOLUTIONARY STABILITY; BIOLOGICAL MARKETS; PARTNER CHOICE; COOPERATION; SANCTIONS; RHIZOBIA; COEXISTENCE; MECHANISMS; LEGUMES; PLANT;
D O I
10.1007/s12080-016-0296-x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
"One-to-many" mutualisms are often observed in nature. In this type of mutualism, each host individual can interact with many symbionts, whereas each individual symbiont can interact with only one host individual. Partner choice by the host is a potentially critical mechanism for maintaining such systems; however, its long-term effects on the coevolution between the hosts and symbionts have not been completely explored. In this study, I developed a simple mathematical model to describe the coevolutionary dynamics between hosts and symbionts in a one-to-many mutualism. I assumed that each host chooses a constant number of symbionts from a potential symbiont population, a fraction of which are chosen through preferential choice on the basis of the cooperativeness of the symbionts and the rest are chosen randomly. Using numerical calculations, I found that mutualism is maintained when the preferential choice is not very costly and the mutation rate of symbionts is large. I also found that symbionts that receive benefits from hosts without a return (cheater symbionts) and hosts that do not engage in preferential partner choice (indiscriminator hosts) can coexist with mutualist symbionts and discriminator hosts, respectively. The parameter domain of pure mutualism, i.e., free from cheater symbionts and indiscriminator hosts, can be narrower than the whole domain where the mutualism persists.
引用
收藏
页码:381 / 388
页数:8
相关论文
共 50 条
  • [1] Coevolutionary dynamics in one-to-many mutualistic systems
    Hideo Ezoe
    [J]. Theoretical Ecology, 2016, 9 : 381 - 388
  • [2] On Handling One-to-Many Transformations in Relational Systems
    Carreira, Paulo
    Galhardas, Helena
    Pereira, Joao D.
    Wichert, Andrzej
    [J]. ENTERPRISE INFORMATION SYSTEMS-BOOKS, 2008, 12 : 121 - +
  • [3] DECENTRALIZED ONE-TO-MANY BARGAINING
    Ko, Chiu Yu
    Li, Duozhe
    [J]. INTERNATIONAL ECONOMIC REVIEW, 2020, 61 (03) : 1139 - 1172
  • [4] Demand dispersion and logistics costs in one-to-many distribution systems
    Turkensteen, Marcel
    Klose, Andreas
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 223 (02) : 499 - 507
  • [5] Dynamics of selective recall in an associative memory model with one-to-many associations
    Kawamura, M
    Okada, M
    Hirai, Y
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1999, 10 (03): : 704 - 713
  • [6] An Approach to One-to-Many Concurrent Negotiation
    Mansour, Khalid
    Kowalczyk, Ryszard
    [J]. GROUP DECISION AND NEGOTIATION, 2015, 24 (01) : 45 - 66
  • [7] MECHANICAL ONE-TO-MANY FIBEROPTIC SWITCH
    SPILLMAN, WB
    [J]. APPLIED OPTICS, 1979, 18 (12): : 2068 - 2072
  • [8] Many-to-one and one-to-many associative learning in a naturalistic task
    McDaniel, MA
    Neufeld, KH
    Damico-Nettleton, S
    [J]. JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 2001, 7 (03) : 182 - 194
  • [9] Target Conditioning for One-to-Many Generation
    Lachaux, Marie-Anne
    Joulin, Armand
    Lample, Guillaume
    [J]. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2020, 2020, : 2853 - 2862
  • [10] ON COORDINATING STRATEGY FOR ONE-TO-MANY NEGOTIATION
    Yao, Yonglei
    Ma, Li
    [J]. CIICT 2008: PROCEEDINGS OF CHINA-IRELAND INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES 2008, 2008, : 160 - 164