Literature DB >> 22483999

The evolution of plant pathogens in response to host resistance: factors affecting the gain from deployment of qualitative and quantitative resistance.

Giovanni Lo Iacono1, Frank van den Bosch, Neil Paveley.   

Abstract

Disease resistance genes are valuable natural resources which should be deployed in a way which maximises the gain to crop productivity before they lose efficacy. Here we present a general epidemiological model for plant diseases, formulated to study the evolution of phenotypic traits of plant pathogens in response to host resistance. The model was used to analyse how the characteristics of the disease resistance, and the method of deployment, affect the size and duration of the gain. The gain obtained from growing a resistant cultivar, compared to a susceptible cultivar, was quantified as the increase in green canopy area resulting from control of foliar disease, integrated over many years-termed 'Healthy Area Duration (HAD) Gain'. Previous work has suggested that the effect of crop ratio (the proportion of land area occupied by the resistant crop) on the gain from qualitative (gene-for-gene) resistance is negligible. Increasing the crop ratio increases the area of uninfected host, but the resistance is more rapidly broken; these two effects counteract each other. We tested the hypothesis that similar counteracting effects would occur for quantitative, multi-genic resistance, but found that the HAD Gain increased at higher crop ratios. Then we tested the hypothesis that the gain from quantitative host resistance could differ depending on the life-cycle component (sporulation rate or infection efficiency) constrained by the resistance. For the patho-system considered, a quantitative resistant cultivar that reduced the infection efficiency gave a greater HAD Gain than a cultivar that reduced sporulation rate, despite having equivalent transmission rates.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22483999     DOI: 10.1016/j.jtbi.2012.03.033

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  11 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.  An epi-evolutionary model for predicting the adaptation of spore-producing pathogens to quantitative resistance in heterogeneous environments.

Authors:  Frédéric Fabre; Jean-Baptiste Burie; Arnaud Ducrot; Sébastien Lion; Quentin Richard; Ramsès Djidjou-Demasse
Journal:  Evol Appl       Date:  2021-12-31       Impact factor: 5.183

3.  Adaptation of a plant pathogen to partial host resistance: selection for greater aggressiveness in grapevine downy mildew.

Authors:  Chloé E L Delmas; Frédéric Fabre; Jérôme Jolivet; Isabelle D Mazet; Sylvie Richart Cervera; Laurent Delière; François Delmotte
Journal:  Evol Appl       Date:  2016-02-24       Impact factor: 5.183

4.  Host Resistance and Temperature-Dependent Evolution of Aggressiveness in the Plant Pathogen Zymoseptoria tritici.

Authors:  Fengping Chen; Guo-Hua Duan; Dong-Liang Li; Jiasui Zhan
Journal:  Front Microbiol       Date:  2017-06-28       Impact factor: 5.640

Review 5.  Integrative modelling for One Health: pattern, process and participation.

Authors:  I Scoones; K Jones; G Lo Iacono; D W Redding; A Wilkinson; J L N Wood
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-07-19       Impact factor: 6.237

6.  Epidemiological trade-off between intra- and interannual scales in the evolution of aggressiveness in a local plant pathogen population.

Authors:  Frédéric Suffert; Henriette Goyeau; Ivan Sache; Florence Carpentier; Sandrine Gélisse; David Morais; Ghislain Delestre
Journal:  Evol Appl       Date:  2018-01-04       Impact factor: 5.183

7.  Differential impact of landscape-scale strategies for crop cultivar deployment on disease dynamics, resistance durability and long-term evolutionary control.

Authors:  Julien Papaïx; Loup Rimbaud; Jeremy J Burdon; Jiasui Zhan; Peter H Thrall
Journal:  Evol Appl       Date:  2017-11-30       Impact factor: 5.183

8.  Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty.

Authors:  Giovanni Lo Iacono; Frank van den Bosch; Chris A Gilligan
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

9.  Assessing the durability and efficiency of landscape-based strategies to deploy plant resistance to pathogens.

Authors:  Loup Rimbaud; Julien Papaïx; Jean-François Rey; Luke G Barrett; Peter H Thrall
Journal:  PLoS Comput Biol       Date:  2018-04-12       Impact factor: 4.475

10.  The Green Revolution shaped the population structure of the rice pathogen Xanthomonas oryzae pv. oryzae.

Authors:  Ian Lorenzo Quibod; Genelou Atieza-Grande; Eula Gems Oreiro; Denice Palmos; Marian Hanna Nguyen; Sapphire Thea Coronejo; Ei Ei Aung; Cipto Nugroho; Veronica Roman-Reyna; Maria Ruby Burgos; Pauline Capistrano; Sylvestre G Dossa; Geoffrey Onaga; Cynthia Saloma; Casiana Vera Cruz; Ricardo Oliva
Journal:  ISME J       Date:  2019-10-30       Impact factor: 10.302

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.