Literature DB >> 31575367

Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.

Melen Leclerc1, Julie A J Clément1, Didier Andrivon1, Frédéric M Hamelin1.   

Abstract

Assessing life-history traits of parasites on resistant hosts is crucial in evolutionary ecology. In the particular case of sporulating pathogens with growing lesions, phenotyping is difficult because one needs to disentangle properly pathogen spread from sporulation. By considering Phytophthora infestans on potato, we use mathematical modelling to tackle this issue and refine the assessment of pathogen response to quantitative host resistance. We elaborate a parsimonious leaf-scale model by convolving a lesion growth model and a sporulation function, after a latency period. This model is fitted to data obtained on two isolates inoculated on three cultivars with contrasted resistance level. Our results confirm a significant host-pathogen interaction on the various estimated traits, and a reduction of both pathogen spread and spore production, induced by host resistance. Most interestingly, we highlight that quantitative resistance also changes the sporulation function, the mode of which is significantly time-lagged. This alteration of the infectious period distribution on resistant hosts may have strong impacts on the dynamics of parasite populations, and should be considered when assessing the durability of disease control tactics based on plant resistance management. This inter-disciplinary work also supports the relevance of mechanistic models for analysing phenotypic data of plant-pathogen interactions.

Entities:  

Keywords:  Phytophthora infestans; aggressiveness; epidemiological modelling; lesion model; potato late blight; sporulation dynamics

Mesh:

Year:  2019        PMID: 31575367      PMCID: PMC6790771          DOI: 10.1098/rspb.2019.1244

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  37 in total

1.  Realistic distributions of infectious periods in epidemic models: changing patterns of persistence and dynamics.

Authors:  A L Lloyd
Journal:  Theor Popul Biol       Date:  2001-08       Impact factor: 1.570

Review 2.  Phytophthora infestans: the plant (and R gene) destroyer.

Authors:  William Fry
Journal:  Mol Plant Pathol       Date:  2008-05       Impact factor: 5.663

3.  Measures of durability of resistance.

Authors:  F van den Bosch; C A Gilligan
Journal:  Phytopathology       Date:  2003-05       Impact factor: 4.025

4.  Methods for estimating epidemiological effects of quantitative resistance to plant diseases.

Authors:  K J Leonard; C C Mundt
Journal:  Theor Appl Genet       Date:  1984-01       Impact factor: 5.699

5.  Potato and Tomato Late Blight Caused by Phytophthora infestans: An Overview of Pathology and Resistance Breeding.

Authors:  Marcin Nowicki; Majid R Foolad; Marzena Nowakowska; Elznieta U Kozik
Journal:  Plant Dis       Date:  2012-01       Impact factor: 4.438

6.  Relating the progeny production curve to the speed of an epidemic.

Authors:  Francis J Ferrandino
Journal:  Phytopathology       Date:  2013-03       Impact factor: 4.025

7.  A modelling framework to simulate foliar fungal epidemics using functional-structural plant models.

Authors:  Guillaume Garin; Christian Fournier; Bruno Andrieu; Vianney Houlès; Corinne Robert; Christophe Pradal
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

8.  Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.

Authors:  Melen Leclerc; Julie A J Clément; Didier Andrivon; Frédéric M Hamelin
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

9.  Adaptation of Phytophthora infestans to Partial Resistance in Potato: Evidence from French and Moroccan Populations.

Authors:  Didier Andrivon; Fabian Pilet; Josselin Montarry; Majida Hafidi; Roselyne Corbière; El Hassan Achbani; Roland Pellé; Daniel Ellissèche
Journal:  Phytopathology       Date:  2007-03       Impact factor: 4.025

10.  Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image Data.

Authors:  Nick Jagiella; Benedikt Müller; Margareta Müller; Irene E Vignon-Clementel; Dirk Drasdo
Journal:  PLoS Comput Biol       Date:  2016-02-11       Impact factor: 4.475

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  2 in total

1.  Assessing the effects of quantitative host resistance on the life-history traits of sporulating parasites with growing lesions.

Authors:  Melen Leclerc; Julie A J Clément; Didier Andrivon; Frédéric M Hamelin
Journal:  Proc Biol Sci       Date:  2019-10-02       Impact factor: 5.349

2.  How large and diverse are field populations of fungal plant pathogens? The case of Zymoseptoria tritici.

Authors:  Bruce A McDonald; Frederic Suffert; Alessio Bernasconi; Alexey Mikaberidze
Journal:  Evol Appl       Date:  2022-07-15       Impact factor: 4.929

  2 in total

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