Virulence/avirulence patterns among Leptosphaeria maculans isolates determines expression of resistance, senescence and yellowing in cotyledons of Brassica napus

Dolatabadian, Aria; Batley, Jacqueline; Edwards, David; Barbetti, Martin J.

doi:10.1007/s10658-020-01963-5

Cited by 2 publications

(2 citation statements)

References 51 publications

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“…For instance it would be worth including ontogenetic and disease-induced changes in host susceptibility, e.g. caused by senescence or hypersensitive responses, that are known to occur in several pathosystems and can be spatially localized on leaf tissues [ 52 , 53 ]. Such phenomena may be taken into account using age-structured PDE considering the age of infection [ 54 ] and the physiological age of host tissues.…”

Section: Discussionmentioning

confidence: 99%

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

Leclerc,

Jumel,

Hamelin

et al. 2023

PLoS Comput Biol

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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 aggressive isolate on two pea cultivars with contrasted levels of partial resistance. We show that the expected slower spread on the most resistant cultivar is actually due to a significantly lower diffusion coefficient. This study shows that combining imaging with spatial mechanistic models can offer a mean to disentangle some processes involved in host-pathogen interactions and further development may allow a better identification of quantitative traits thereafter used in genetics and ecological studies.

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Section: Discussionmentioning

confidence: 99%

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

Leclerc,

Jumel,

Hamelin

et al. 2023

PLoS Comput Biol

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show abstract

“…For instance it would be worth including ontogenetic and disease-induced changes in host susceptibility, e.g. caused by senescence or hypersensitive responses, that are known to occur in several pathosystems and can be spatially localized on leaf tissues (Dolatabadian et al, 2020;Richard et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

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

Leclerc¹,

Jumel²,

Hamelin

et al. 2022

Preprint

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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 and quantify beyond the common traits such as lesion area. We tackle the spatio-temporal dynamics of interactions 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 local 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 aggressive isolate on two pea cultivars with contrasted levels of partial resistance. We show that the expected slower spread on the most resistant cultivar is actually due to a decrease of diffusion and, to a lesser extent, local growth. These results demonstrate that spatial models with imaging allows one to disentangle the processes involved in host-pathogen interactions. Hence, promoting model-based phenotyping of interactions would allow a better identification of quantitative traits thereafter used in genetics and ecological studies.

show abstract

Virulence/avirulence patterns among Leptosphaeria maculans isolates determines expression of resistance, senescence and yellowing in cotyledons of Brassica napus

Cited by 2 publications

References 51 publications

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

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

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

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