EVOLUTION OF A PATHOGEN POPULATION IN HOST MIXTURES - RATE OF EMERGENCE OF COMPLEX RACES

Authors
Citation
C. Lannou et Cc. Mundt, EVOLUTION OF A PATHOGEN POPULATION IN HOST MIXTURES - RATE OF EMERGENCE OF COMPLEX RACES, Theoretical and Applied Genetics, 94(8), 1997, pp. 991-999
Citations number
25
Categorie Soggetti
Genetics & Heredity","Plant Sciences
ISSN journal
00405752
Volume
94
Issue
8
Year of publication
1997
Pages
991 - 999
Database
ISI
SICI code
0040-5752(1997)94:8<991:EOAPPI>2.0.ZU;2-8
Abstract
The development of a pathogen population in a crop varietal mixture wa s studied with an epidemic simulator based on the model EPIMUL. The pa thogen population was composed of simple races, able to develop on onl y one genetic component of the mixture, and a complex race, which deve loped on all mixture components. The complex race was modelled with a very low initial frequency compared to simple races, to simulate the e mergence of a complex race in the field. Several successive epidemics were simulated as if the pathogen population reproduced on the same pl ot for several years. The development of the complex race on the simul ated plot was either focal or uniform. The effects of the cost of viru lence, of density dependence and of differential adaptation to host ge netic background on the simple race-complex race competition were stud ied. Experimentally measured values of the cost of virulence and diffe rential adaptation were incorporated into the model, and both factors were shown to greatly reduce the increase in frequency of the complex race over time. Density dependance also influenced race competition, b ut mainly for high values of the parameter. Our results suggest that t he cost of virulence is probably not the only mechanism that may influ ence the simple race-complex race competition in host mixtures. In our simulations, differences in the spatial distribution of the initial i noculum between parasite races led to large differences in their final frequencies. Thus, more investigations, including randomized disease distributions, would be of interest to judge the potential importance of spatial effects in the field.