School of Biological Sciences, University of Liverpool, Crown Street, Liverpool L697ZB, United Kingdom.
Am Nat. 2009 Dec;174(6):E230-42. doi: 10.1086/645087.
The genetic basis of infection in host-parasite interactions has traditionally been considered within the framework of either gene-for-gene (GFG) or matching-allele models. We present an alternative model, termed inverse-gene-for-gene (IGFG), where pathogen infectiousness is determined by parasite recognition of host signals and/or receptors or where there is active host searching by parasites. We show that coevolutionary dynamics under IGFG are both qualitatively and quantitatively different from those of the GFG model, and we suggest that this new approach may be applicable to a range of important host-parasite systems that are not currently catered for by the existing frameworks.
宿主-寄生虫相互作用中的感染遗传基础传统上被认为是在基因对基因（GFG）或匹配等位基因模型的框架内。我们提出了一种替代模型，称为反向基因对基因（IGFG），其中病原体的传染性取决于寄生虫对宿主信号和/或受体的识别，或者寄生虫主动寻找宿主。我们表明，IGFG 下的协同进化动态在定性和定量上都与 GFG 模型不同，我们认为这种新方法可能适用于一系列目前不受现有框架涵盖的重要宿主-寄生虫系统。
