Epidemiology and disease-control under gene-for-gene plant–pathogen interaction

Ohtsuki, Akiko; Sasaki, Akira

doi:10.1016/j.jtbi.2005.06.030

Cited by 37 publications

(36 citation statements)

References 28 publications

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“…As indicated in Figure 1, a difference in the growth-rates of the two strains implies that the fastest growing strain almost completes its epidemic prior to a second strain attaining detectable levels provided that the initial size of the infectious population is small (compare to Ohtsuki andSasaki,2005 andGog et al,2003).…”

Section: Derivation Of Basic Modelmentioning

confidence: 99%

Shaping the phylogenetic tree of influenza by cross-immunity

Andreasen

Sasaki

2006

Theoretical Population Biology

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Section: Derivation Of Basic Modelmentioning

confidence: 99%

Shaping the phylogenetic tree of influenza by cross-immunity

Andreasen

Sasaki

2006

Theoretical Population Biology

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“…There are two types of resistance in plant disease resistance mechanism, race specific, also called as qualitative resistance, and race nonspecific or quantitative plant resistance (Dang and Jones, 2001;Fu et al 2011;Sekhwal et al 2015). The qualitative (vertical) resistance is a narrow-spectrum resistance mediated by a single or a few major genes that operate in a gene-for-gene fashion (Flor, 1971;Van der Biezen and Jones, 1998;Ohtsuki and Sasaki, 2006). The quantitative (horizontal) resistance is a broad-spectrum resistance refers to resistance against two or more types of pathogens, contributed by multiple genes or quantitative trait loci (QTLs) (Kou and Wang, 2010;Burdon et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Genetic resistance of local upland rice populations from East and North Kalimantan, Indonesia against some important diseases

Nurhasanah¹,

Mujiono²,

Darma³

et al. 2018

Aust J Crop Sci

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Plant diseases are major obstacles in achieving optimal yields in crop plants including rice. The use of diseases-resistant varieties is one of the most practical and economical approaches to overcome this problem. The local rice populations (landraces) are important genetic resources containing useful genes for many important traits, including disease resistance characters. The objectives of this study were to evaluate the responses of East and North Kalimantan local upland rice population against rice diseases and to select the local cultivars having resistance against the diseases. Disease resistance was evaluated using natural disease epidemic selection. A 109 Indonesian local upland rice cultivars were grown in two different growing conditions, in screen house and field trial. Diseases were characterized by their symptoms on the plants and the corresponding causing agents. Disease intensity was scored by observing the percentage of disease symptoms on the plants in the field trial. The results showed that bacterial blight (Xanthomonas oryzae) was the most frequent disease infecting East and North Kalimantan local upland rice population followed by narrow brown spot, brown spot, sheath blight and black kernel. A specific interaction between the host and pathogen was observed in this study. Some genotypes were resistant, and some others are susceptible to the particular disease. However, most of the local rice cultivars were grouped into resistant and moderately resistant genotypes. The East and North Kalimantan local upland rice population characterized in this study, contained genes that confer resistance to one or more pathogens, which could be further used as a source of vertical or horizontal resistance genes in rice breeding programs.

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“…One of our key findings concerns variable‐mixture strategies. Resistance management strategies to date have focused on the use of the same mixture every year (van den Bosch and Gilligan ; Ohtsuki and Sasaki ; Sapoukhina et al. ; Skelsey et al.…”

Section: Discussionmentioning

confidence: 99%

“…One of our key findings concerns variable-mixture strategies. Resistance management strategies to date have focused on the use of the same mixture every year (van den Bosch and Gilligan 2003;Ohtsuki and Sasaki 2006;Sapoukhina et al 2009;Skelsey et al 2010;Fabre et al 2012a;Bourget et al 2013;Lo Iacono et al 2013;Papa€ ıx et al 2013). Such strategies are inevitable for perennial crops (Sapoukhina et al 2009), but temporal shifts in the mixture of S and R fields are possible for annual crops.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological and evolutionary management of plant resistance: optimizing the deployment of cultivar mixtures in time and space in agricultural landscapes

Fabre

Rousseau

Mailleret

et al. 2015

Evolutionary Applications

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The management of genes conferring resistance to plant–pathogens should make it possible to control epidemics (epidemiological perspective) and preserve resistance durability (evolutionary perspective). Resistant and susceptible cultivars must be strategically associated according to the principles of cultivar mixture (within a season) and rotation (between seasons). We explored these questions by modeling the evolutionary and epidemiological processes shaping the dynamics of a pathogen population in a landscape composed of a seasonal cultivated compartment and a reservoir compartment hosting pathogen year-round. Optimal deployment strategies depended mostly on the molecular basis of plant–pathogen interactions and on the agro-ecological context before resistance deployment, particularly epidemic intensity and landscape connectivity. Mixtures were much more efficient in landscapes in which between-field infections and infections originating from the reservoir were more prevalent than within-field infections. Resistance genes requiring two mutations of the pathogen avirulence gene to be broken down, rather than one, were particularly useful when infections from the reservoir predominated. Combining mixture and rotation principles were better than the use of the same mixture each season as (i) they controlled epidemics more effectively in situations in which within-field infections or infections from the reservoir were frequent and (ii) they fulfilled the epidemiological and evolutionary perspectives.

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Epidemiology and disease-control under gene-for-gene plant–pathogen interaction

Cited by 37 publications

References 28 publications

Shaping the phylogenetic tree of influenza by cross-immunity

Shaping the phylogenetic tree of influenza by cross-immunity

Genetic resistance of local upland rice populations from East and North Kalimantan, Indonesia against some important diseases

Epidemiological and evolutionary management of plant resistance: optimizing the deployment of cultivar mixtures in time and space in agricultural landscapes

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