Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Imaging with spatio-temporal modelling to characterize the dynamics of plant-pathogen lesions.
المؤلفون: Melen Leclerc, Stéphane Jumel, Frédéric M Hamelin, Rémi Treilhaud, Nicolas Parisey, Youcef Mammeri
المصدر: PLoS Computational Biology, Vol 19, Iss 11, p e1011627 (2023)
بيانات النشر: Public Library of Science (PLoS)
سنة النشر: 2023
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1553-734X
1553-7358
Relation: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011627&type=printable; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358; https://doaj.org/article/65c9be43c3484fe1bd5800c7c4eb909d
DOI: 10.1371/journal.pcbi.1011627
الاتاحة: https://doi.org/10.1371/journal.pcbi.1011627
https://doaj.org/article/65c9be43c3484fe1bd5800c7c4eb909d
رقم الانضمام: edsbas.42B2A1E
قاعدة البيانات: BASE
الوصف
تدمد:1553734X
15537358
DOI:10.1371/journal.pcbi.1011627