Deciphering genes associated with root wilt disease of coconut and development of its transcriptomic database (CnTDB)

Coconut (Cocos nucifera L.) has global significance in agriculture and industries due to its nutritional and medicinal properties. Coconut Root Wilt Disease (RWD) causes huge economic loss, thus molecular approach for improved varieties is needed. Since whole genome sequence is unavailable, transcriptomic approach is imperative for deciphering pathways as well as genic region marker discovery from contrasting genotypes. This is the first report of RWD transcriptome database having candidate genes and pathway discovery along with genic simple sequence repeats, SNPs, indels to be used as functional domain markers. A relational database, CnTDB (http://webtom.cabgrid.res.in/cntdb/), based on three-tier architecture has been developed having 285235 transcripts with all blast information, annotations, pathways, 22021 DEGs, transcriptional factors, 10126 and 97117 SSR markers mined from DEGs and de novo transcriptome assembly, respectively. Putative markers with primers can be valuable genomic resource in endeavor of RWD resistant variety development for higher coconut productivity.