Epistatic selection and coadaptation in the Prf resistance complex of wild tomato

Grzeskowiak, Lukasz; Stephan, Wolfgang; Rose, Laura

doi:10.1016/j.meegid.2014.06.019

Cited by 5 publications

(2 citation statements)

References 63 publications

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“…R genes have to be prolonged by studying the complex of resistance of the evolution of R gene. Grzeskowiak et al (2014) studied the mechanism of resistance in tomato focusing on Pto/Fen/Prf resistance complex. Some studies have shown that studying non-host resistance (NHR) may lead to and devise mechanisms of resistance that are long lasting and independent of recognition of R protein.…”

Section: Future Prospects Of Applying Molecular Techniques In Plant Dmentioning

confidence: 99%

Application of molecular and biotechnological techniques in plant disease management: A review

Dayou¹,

Mwangi²,

Egesa³

et al. 2018

Afr. J. Biotechnol.

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Plant diseases are a major challenge in crop production. They are caused by nematodes, bacteria, fungi, viruses as well as plant nutritional factors. Diseases interfere with the normal physiological and metabolic processes of plants. This results in various effects including wilting, stunting, yellowing and death of plant tissues and organs. Crop losses due to diseases manifest in form of reduced yield, poor quality produce, and reduced post-harvest storage. Past research has brought to the limelight the continuous capacity of pathogens to revert to new pathotypes and strains, some that break resistant varieties or are less sensitive to chemical control products. Currently, farmers are advised to combine several plant disease management practices, a strategy known as integrated plant disease management. Such strategies include crop rotation, use of disease free planting materials, field sanitation, and chemical methods as well as use of resistant varieties. However, some of these methods are expensive and substantially increase the cost of production. Development in molecular biology and biotechnology found application in plant disease management. This ranges from identification, diagnosis to control through gene transfer, mutation breeding and RNA interference, among others. In this paper, the current developments in the application of molecular techniques and biotechnology to manage plant diseases, outlining their possible future application and potential for enhanced plant disease management.

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Section: Future Prospects Of Applying Molecular Techniques In Plant Dmentioning

confidence: 99%

Application of molecular and biotechnological techniques in plant disease management: A review

Dayou¹,

Mwangi²,

Egesa³

et al. 2018

Afr. J. Biotechnol.

View full text Add to dashboard Cite

show abstract

“…One way to tackle the durability issue of R genes is to study R gene evolution in the context of the whole resistance complex. Well-studied resistance mechanisms in tomato allowed this issue to be elegantly addressed by Grzeskowiak et al (2014) for the Pto/Fen/Prf resistance complex. Pto homologs and Prf are co-localized genomically, suggesting that they evolved concurrently.…”

Section: Breeding For Resistance: Strategies Deployed So Farmentioning

confidence: 99%

Improving crop disease resistance: lessons from research on Arabidopsis and tomato

et al. 2014

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One of the great challenges for food security in the 21st century is to improve yield stability through the development of disease-resistant crops. Crop research is often hindered by the lack of molecular tools, growth logistics, generation time and detailed genetic annotations, hence the power of model plant species. Our knowledge of plant immunity today has been largely shaped by the use of models, specifically through the use of mutants. We examine the importance of Arabidopsis and tomato as models in the study of plant immunity and how they help us in revealing a detailed and deep understanding of the various layers contributing to the immune system. Here we describe examples of how knowledge from models can be transferred to economically important crops resulting in new tools to enable and accelerate classical plant breeding. We will also discuss how models, and specifically transcriptomics and effectoromics approaches, have contributed to the identification of core components of the defense response which will be key to future engineering of durable and sustainable disease resistance in plants.

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A linkage disequilibrium-based statistical test for Genome-Wide Epistatic Selection Scans in structured populations

et al. 2020

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The quest for genome-wide signatures of selection in populations using SNP data has proven efficient to uncover genes involved in conserved or adaptive molecular functions, but none of the statistical methods were designed to identify interacting genes as targets of selective processes. Here, we propose a straightforward statistical test aimed at detecting epistatic selection, based on a linkage disequilibrium (LD) measure accounting for population structure and heterogeneous relatedness between individuals. SNP-based ( ) and windowbased ( 1 ) statistics fit a Student distribution, allowing to easily and quickly test the significance of correlation coefficients in the frame of Genome-Wide Epistatic Selection Scans (GWESS) using candidate genes as baits. As a proof of concept, use of SNP data from the Medicago truncatula symbiotic legume plant uncovered a previously unknown gene coadaptation between the MtSUNN (Super Numeric Nodule) receptor and the MtCLE02 (CLAVATA3-Like) signalling peptide, and experimental evidence accordingly supported a MtSUNN-dependent negative role of MtCLE02 in symbiotic root nodulation. Using human HGDP-CEPH SNP data, our new statistical test uncovered strong LD between SLC24A5 andEDAR worldwide, which persists after correction for population structure and relatedness in Central South Asian populations. This result suggests adaptive genetic interaction or coselection between skin pigmentation and the ectodysplasin pathway involved in the development of ectodermal organs (hairs, teeth, sweat glands), in some human populations.Applying this approach to genome-wide SNP data will foster the identification of evolutionary coadapted gene networks.

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Epistatic selection and coadaptation in the Prf resistance complex of wild tomato

Cited by 5 publications

References 63 publications

Application of molecular and biotechnological techniques in plant disease management: A review

Application of molecular and biotechnological techniques in plant disease management: A review

Improving crop disease resistance: lessons from research on Arabidopsis and tomato

A linkage disequilibrium-based statistical test for Genome-Wide Epistatic Selection Scans in structured populations

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