Epidemiological and Evolutionary Outcomes in Gene-for-Gene and Matching Allele Models

Frontiers in Plant Science
Peter H ThrallJeremy J Burdon

Abstract

Gene-for-gene (GFG) and matching-allele (MA) models are qualitatively different paradigms for describing the outcome of genetic interactions between hosts and pathogens. The GFG paradigm was largely built on the foundations of Flor's early work on the flax-flax rust interaction and is based on the concept of genetic recognition leading to incompatible disease outcomes, typical of host immune recognition. In contrast, the MA model is based on the assumption that genetic recognition leads to compatible interactions, which can result when pathogens require specific host factors to cause infection. Results from classical MA and GFG models have led to important predictions regarding various coevolutionary phenomena, including the role of fitness costs associated with resistance and infectivity, the distribution of resistance genes in wild populations, patterns of local adaptation and the evolution and maintenance of sexual reproduction. Empirical evidence (which we review briefly here), particularly from recent molecular advances in understanding of the mechanisms that determine the outcome of host-pathogen encounters, suggests considerable variation in specific details of the functioning of interactions between hosts and pathogens,...Continue Reading

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Citations

Dec 22, 2017·Proceedings. Biological Sciences·Michael McLeishFernando García-Arenal
Nov 7, 2019·Journal of Integrative Plant Biology·Sylvans OcholaSuomeng Dong
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Dec 12, 2020·Frontiers in Plant Science·Toby E Newman, Mark C Derbyshire
Jun 15, 2021·Frontiers in Microbiology·Abdul WaheedJiasui Zhan
May 1, 2021·Annual Review of Phytopathology·Loup RimbaudPeter H Thrall

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