Modelling infection as a two-step process combining gene-for-gene and matching-allele genetics

Modelling infection as a two-step process combining gene-for-gene and matching-allele genetics
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DOI:
10.1098/rspb.2002.2193
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发表时间:
2003-02-07
影响因子:
4.7
通讯作者:
Lively, CM
Lively, CM
中科院分区:
生物学1区
文献类型:
--
作者:
Agrawal, AF;Lively, CM

文献摘要

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感染的遗传基础决定了宿主-寄生虫共同进化的动力学和相关的现象,如局部适应和性别和重组的进化。在这里,我们提出寄生虫抗性作为一个两步的过程中,主机必须首先检测寄生虫,然后消灭它们;失败的任何一步导致感染。该模型结合了用于检测的“匹配等位基因”(MA)遗传学和用于根除的“基因对基因”(GFG)遗传学。我们发现,振荡动力学类似于纯GFG遗传时,“毒力”等位基因的成本低,但类似于纯MA遗传时,成本高。从GFG占主导地位的动态切换到MA占主导地位的成本的大小取决于防御的遗传结构(即GFG和MA位点的数量)。
The genetic basis of infection determines the dynamics of host-parasite coevolution and associated phenomena such as local adaptation and the evolution of sex and recombination. Here, we present parasite resistance as a two-step process in which hosts must first detect parasites and then eradicate them; failure at either step results in infection. The model incorporates 'matching-allele' (MA) genetics for detection and 'gene-for-gene' (GFG) genetics for eradication. We found that the oscillatory dynamics were similar to pure GFG genetics when the cost of 'virulence' alleles was low, but resembled pure MA genetics when the cost was high. The magnitude of the cost that switched the dynamics from GFG dominated to MA dominated depended on the genetic architecture of defence (i.e. the number of GFG and MA loci).