Imaging with spatio-temporal modelling to characterize the dynamics of plant-pathogen lesions.

ABSTRACT: Within-host spread of pathogens is an important process for the study of plant-pathogen interactions. However, the development of plant-pathogen lesions remains practically difficult to characterize beyond the common traits such as lesion area. Here, we address this question by combining image-based phenotyping with mathematical modelling. We consider the spread of Peyronellaea pinodes on pea stipules that were monitored daily with visible imaging. We assume that pathogen propagation on host-tissues can be described by the Fisher-KPP model where lesion spread depends on both a logistic growth and an homogeneous diffusion. Model parameters are estimated using a variational data assimilation approach on sets of registered images. This modelling framework is used to compare the spread of an a

SUBMITTER: Leclerc M 

PROVIDER: S-EPMC10695395 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature