Open AccessScaling up from greenhouse resistance to fitness in the field for a host of an emerging forest disease
Author(s) -
Hayden Katherine J.,
Garbelotto Matteo,
Dodd Richard,
Wright Jessica W.
Publication year - 2013
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/eva.12080
Subject(s) - biology , heritability , seedling , resistance (ecology) , plant disease resistance , survivorship curve , threatened species , disease , emerging infectious disease , ecology , outbreak , habitat , agronomy , genetics , gene , medicine , pathology , cancer , virology
Abstract Forest systems are increasingly threatened by emergent, exotic diseases, yet management strategies for forest trees may be hindered by long generation times and scant background knowledge. We tested whether nursery disease resistance and growth traits have predictive value for the conservation of N otholithocarpus densiflorus , the host most susceptible to sudden oak death. We established three experimental populations to assess nursery growth and resistance to P hytophthora ramorum , and correlations between nursery‐derived breeding values with seedling survival in a field disease trial. Estimates of nursery traits’ heritability were low to moderate, with lowest estimates for resistance traits. Within the field trial, survival likelihood was increased in larger seedlings and decreased with the development of disease symptoms. The seed‐parent family wide likelihood of survival was likewise correlated with family predictors for size and resistance to disease in 2nd year laboratory assays, though not resistance in 1st year leaf assays. We identified traits and seedling families with increased survivorship in planted tanoaks, and a framework to further identify seed parents favored for restoration. The additive genetic variation and seedling disease dynamics we describe hold promise to refine current disease models and expand the understanding of evolutionary dynamics of emergent infectious diseases in highly susceptible hosts.