TAILIEUCHUNG - Identification of expressed resistance gene analog sequences in coconut leaf transcriptome and their evolutionary analysis

In addition, we hope that this study will provide a genomic framework for isolation of additional RGAs in coconut via comparative genomics and also contribute to the deciphering of mode of evolution of RGAs in Arecaceae. | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2015) 39: 489-502 © TÜBİTAK doi: Identification of expressed resistance gene analog sequences in coconut leaf transcriptome and their evolutionary analysis 1, 1 1 Muliyar Krishna RAJESH *, Kaitheri Edathil RACHANA , Sudalaimuthu Asari NAGANEESWARAN , 1 2 2 2 1 Rahman SHAFEEQ , Regi Jacob THOMAS , Mohammed SHAREEFA , Babu MERIN , Karun ANITHA 1 Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute, Kasaragod, Kerala, India 2 ICAR-Central Plantation Crops Research Institute (Regional Station), Kayamkulam, Kerala, India Received: Accepted: Published Online: Printed: Abstract: Coconut, an important crop of the tropics and subtropics, is susceptible to a variety of diseases and enhancing disease resistance has been the major goal of coconut breeding programs all over the world. Information on the presence and distribution of disease resistance (R) genes, which play a primary role in the detection of pathogens and the initiation of specific plant defenses, is scarce in coconut. In this study, RNA-Seq was used to generate the transcriptome of leaf samples of coconut root (wilt) disease-resistant cultivar Chowghat Green Dwarf. Comprehensive bioinformatics analysis identified 243 resistance gene analog (RGA) sequences, comprising 6 classes of RGAs. Domain and conserved motif predictions of clusters were performed to analyze the architectural diversity. Phylogenetic analysis of deduced amino acid sequences revealed that coconut NBS-LRR type RGAs were classified into distinct groups based on the presence of TIR or CC motifs in the N-terminal regions. Furthermore, qRT-PCR analysis validated the expression of randomly selected NBS-LRR type RGAs. The results of this study provide a sequence resource for development of RGA-tagged markers in coconut, which would .

• Nông nghiệp
• Coconut leaf
• Genomic framework
• Resistance gene analog
• Evolutionary analysis
• RGAs in Arecaceae
• Coconut leaf spot
• Plant leaf extract
• In vitro
• Pestalotia palmarum
• Poisoned food technique
• Potassium boron
• Coconut (Cocos nucifera L
• Copra yield of coconut
• Potassium boron content
• Copra yield in coconut
• Bud rot
• Basal stem rot
• Leaf blight
• Distribution of coconut diseases
• Occurrence of coconut diseases
• Selected fungicides against
• Neem leaf extract
• Tulasi leaf extract
• Coconut water
• Chickpea (Cicer arietinum L
• Priming on growth
• Physicochemical and biological characters
• Biomass substrate
• Water hyacinth
• Biological quality characters