Inverse-gene-for-gene infection genetics and coevolutionary dynamics.
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.
Fenton
Andrew
A
School of Biological Sciences, University of Liverpool, Crown Street, Liverpool L697ZB, United Kingdom.
Antonovics
Janis
J
Brockhurst
Michael A
MA
D005075:Biological Evolution; D005796:Genes; D005838:Genotype; D006790:Host-Parasite Interactions / Q000235:genetics*; D008957:Models, Genetic; D037521:Virulence Factors / Q000235:genetics
D037521:Virulence Factors