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Disease Resistance Gene Analogs (RGAs) in Plants
by
Wang, Xiue
, Li, Pingchuan
, Cloutier, Sylvie
, Lam, Irene
, Sekhwal, Manoj
, You, Frank
in
Disease Resistance - genetics
/ Genes
/ Genes, Plant
/ Genome, Plant
/ Infections
/ Kinases
/ Pathogens
/ Plant Diseases - genetics
/ Plant resistance
/ Plants - genetics
/ Quantitative Trait Loci
/ Review
2015
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Disease Resistance Gene Analogs (RGAs) in Plants
by
Wang, Xiue
, Li, Pingchuan
, Cloutier, Sylvie
, Lam, Irene
, Sekhwal, Manoj
, You, Frank
in
Disease Resistance - genetics
/ Genes
/ Genes, Plant
/ Genome, Plant
/ Infections
/ Kinases
/ Pathogens
/ Plant Diseases - genetics
/ Plant resistance
/ Plants - genetics
/ Quantitative Trait Loci
/ Review
2015
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Do you wish to request the book?
Disease Resistance Gene Analogs (RGAs) in Plants
by
Wang, Xiue
, Li, Pingchuan
, Cloutier, Sylvie
, Lam, Irene
, Sekhwal, Manoj
, You, Frank
in
Disease Resistance - genetics
/ Genes
/ Genes, Plant
/ Genome, Plant
/ Infections
/ Kinases
/ Pathogens
/ Plant Diseases - genetics
/ Plant resistance
/ Plants - genetics
/ Quantitative Trait Loci
/ Review
2015
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Journal Article
Disease Resistance Gene Analogs (RGAs) in Plants
2015
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Overview
Plants have developed effective mechanisms to recognize and respond to infections caused by pathogens. Plant resistance gene analogs (RGAs), as resistance (R) gene candidates, have conserved domains and motifs that play specific roles in pathogens’ resistance. Well-known RGAs are nucleotide binding site leucine rich repeats, receptor like kinases, and receptor like proteins. Others include pentatricopeptide repeats and apoplastic peroxidases. RGAs can be detected using bioinformatics tools based on their conserved structural features. Thousands of RGAs have been identified from sequenced plant genomes. High-density genome-wide RGA genetic maps are useful for designing diagnostic markers and identifying quantitative trait loci (QTL) or markers associated with plant disease resistance. This review focuses on recent advances in structures and mechanisms of RGAs, and their identification from sequenced genomes using bioinformatics tools. Applications in enhancing fine mapping and cloning of plant disease resistance genes are also discussed.
Publisher
MDPI AG,MDPI
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