Spatially induced nestedness in a neutral model of phage-bacteria networks

被引:6
|
作者
Valverde, Sergi [1 ,2 ]
Elena, Santiago F. [3 ,4 ,5 ]
Sole, Ricard [1 ,2 ,5 ]
机构
[1] Univ Pompeu Fabra, ICREA Complex Syst Lab, PRBB Dr Aiguader 88, Barcelona 08003, Spain
[2] Univ Pompeu Fabra, CSIC, IBE, Psg Maritim Barceloneta 37-49, Barcelona 08003, Spain
[3] CSIC UPV, IBMCP, Valencia 46022, Spain
[4] Univ Valencia, CSIC, Inst Biol Integrat Sistemas I2SysBio, Valencia 46182, Spain
[5] Santa Fe Inst, 1399 Hyde Pk Rd, Santa Fe, NM 87501 USA
关键词
nested networks; coevolution; virus-host interactions; matching allele dynamics; GENE-FOR-GENE; INFECTION; EVOLUTION; POLYMORPHISM; SYSTEMS; VIRUSES;
D O I
10.1093/ve/vex021
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Ecological networks, both displaying mutualistic or antagonistic interactions, seem to share common structural traits: the presence of nestedness and modularity. A variety of model approaches and hypothesis have been formulated concerning the significance and implications of these properties. In phage-bacteria bipartite infection networks, nestedness seems to be the rule in many different contexts. Modeling the coevolution of a diverse virus-host ensemble is a difficult task, given the dimensionality and multi parametric nature of a standard continuous approximation. Here, we take a different approach, by using a neutral, toy model of host-phage interactions on a spatial lattice. Each individual is represented by a bit string (a digital genome) but all strings in each class (i.e. hosts or phages) share the same sets of parameters. A matching allele model of phage-virus recognition rule is enough to generate a complex, diverse ecosystem with heterogeneous patterns of interaction and nestedness, provided that interactions take place under a spatially constrained setting. It is found that nestedness seems to be an emergent property of the co-evolutionary dynamics. Our results indicate that the enhanced diversity resulting from localized interactions strongly promotes the presence of nested infection matrices.
引用
收藏
页数:7
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