RNA-Seq transcriptome analysis of Jatropha curcas L. accessions after salt stimulus and unigene-derived microsatellite mining

摘要: Abstract The small oleaginous tree of Jatropha curcas L. (physic nut) is an excellent biodiesel source whose crop could represent a good income for farmers in tropical and semi-arid zones. However, some areas particular, salinity, such as many other abiotic stresses, can compromise productivity. We analyzed the root RNA-Seq transcriptome two Brazilian J. accessions after three-hour NaCl exposition (150 mM) aiming at identifying differentially expressed genes (DEGs) useful breeding programs. de novo covered 145,422 assembled transcripts (126,343 unigenes), out which 84,589 showed least one significant alignment to GenBank reference genome. Differentially unigenes salt-sensitive Jc171 accession (4,646) suppressed those salt-tolerant Jc183 (57) one. A MapMan analysis DEGs using Manihot esculenta Crantz (Euphorbiaceae family) highlighted metabolism phytohormone, carbohydrate (CHO), lipid, amino acid, redox, secondary metabolite salt-responses. RT-qPCR results nine selected [phenylalanine ammonia-lyase (PAL), S-adenosylmethionine-dependent methyltransferase (SAMe), S-adenosylmethionine synthase (SAM), carboxylesterase (CXE), homeobox-leucine zipper gene (HD-Zip), NAC transcription factor (NAC), methionine-gamma lyase (MGL), peroxidase (PX), xyloglucan endotransglucosylase (XTH)] evaluated 36 combinations accession/treatments validated 86.11 % silico results. data generated improved based on Illumina-21 bp tags reported before, benefit breeders improvement salt-tolerance curcas. Additionally, primer pairs successfully designed 1,423 presenting microsatellite motifs contribute development co-dominant molecular markers, very marker applied genetic analysis.