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The genetic basis of local adaptation for pathogenic fungi in agricultural ecosystems
Author(s) -
Croll Daniel,
McDonald Bruce A.
Publication year - 2017
Publication title -
molecular ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.619
H-Index - 225
eISSN - 1365-294X
pISSN - 0962-1083
DOI - 10.1111/mec.13870
Subject(s) - biology , local adaptation , adaptation (eye) , biological dispersal , genetic architecture , host (biology) , trait , experimental evolution , host adaptation , pathogen , quantitative trait locus , evolutionary biology , virulence , ecology , genetics , gene , population , demography , neuroscience , sociology , computer science , programming language
Abstract Local adaptation plays a key role in the evolutionary trajectory of host–pathogen interactions. However, the genetic architecture of local adaptation in host–pathogen systems is poorly understood. Fungal plant pathogens in agricultural ecosystems provide highly tractable models to quantify phenotypes and map traits to corresponding genomic loci. The outcome of crop–pathogen interactions is thought to be governed largely by gene‐for‐gene interactions. However, recent studies showed that virulence can be governed by quantitative trait loci and that many abiotic factors contribute to the outcome of the interaction. After introducing concepts of local adaptation and presenting examples from wild plant pathosystems, we focus this review on a major pathogen of wheat, Zymoseptoria tritici , to show how a multitude of traits can affect local adaptation. Zymoseptoria tritici adapted to different thermal environments across its distribution range, indicating that thermal adaptation may limit effective dispersal to different climates. The application of fungicides led to the rapid evolution of multiple, independent resistant populations. The degree of colony melanization showed strong pleiotropic effects with other traits, including trade‐offs with colony growth rates and fungicide sensitivity. The success of the pathogen on its host can be assessed quantitatively by counting pathogen reproductive structures and measuring host damage based on necrotic lesions. Interestingly, these two traits can be weakly correlated and depend both on host and pathogen genotypes. Quantitative trait mapping studies showed that the genetic architecture of locally adapted traits varies from single loci with large effects to many loci with small individual effects. We discuss how local adaptation could hinder or accelerate the development of epidemics in agricultural ecosystems.