De novo transcriptome analysis of Justicia adhatoda reveals candidate genes involved in major biosynthetic pathway.

BACKGROUND: Justicia adhatoda is an important medicinal plant traditionally used in the Indian system of medicine and the absence of molecular-level studies in this plant hinders its wide use, hence the study was aimed to analyse the genes involved in its various pathways. METHODS AND RESULTS: The RNA isolated was subjected to Illumina sequencing. De novo assembly was performed using TRINITY software which produced 171,064 transcripts with 55,528 genes and N50 value of 2065 bp, followed by annotation of unigenes against NCBI, KEGG and Gene ontology databases resulted in 105,572 annotated unigenes and 40,288 non-annotated unigenes. A total of 5980 unigenes were mapped to 144 biochemical pathways, including the metabolism and biosynthesis pathways. The pathway analysis revealed the major transcripts involved in the tryptophan biosynthesis with TPM values of 6.0903, 33.6854, 11.527, 1.6959, and 8.1662 for Anthranilate synthase alpha, Anthranilate synthase beta, Arogenate/Prephenate dehydratase, Chorismate synthase and Chorismate mutase, respectively. The qRT-PCR validation of the key enzymes showed up-regulation in mid mature leaf when compared to root and young leaf tissue. A total of 16,154 SSRs were identified from the leaf transcriptome of J. Adhatoda ,which could be helpful in molecular breeding. CONCLUSIONS: The study aimed at identifying transcripts involved in the tryptophan biosynthesis pathway for its medicinal properties, as it acts as a precursor to the acridone alkaloid biosynthesis with major key enzymes and their validation. This is the first study that reports transcriptome assembly and annotation of J. adhatoda plant.

RNA sequencing and de novo assembly of Solanum trilobatum leaf transcriptome to identify putative transcripts for major metabolic pathways.

Solanum trilobatum L. is an important medicinal plant in traditional Indian system of medicine belonging to Solanaceae family. However, non-availability of genomic resources hinders its research at the molecular level. We have analyzed the S. trilobatum leaf transcriptome using high throughput RNA sequencing. The de novo assembly of 136,220,612 reads produced 128,934 non-redundant unigenes with N50 value of 1347 bp. Annotation of unigenes was performed against databases such as NCBI nr database, Gene Ontology, KEGG, Uniprot, Pfam, and plnTFDB. A total of 60,097 unigenes were annotated including 48 Transcription Factor families and 14,490 unigenes were assigned to 138 pathways using KEGG database. The pathway analysis revealed the transcripts involved in the biosynthesis of important secondary metabolites contributing for its medicinal value such as Flavonoids. Further, the transcripts were quantified using RSEM to identify the highly regulated genes for secondary metabolism. Reverse-Transcription PCR was performed to validate the de novo assembled unigenes. The expression profile of selected unigenes from flavonoid biosynthesis pathway was analyzed using qRT-PCR. We have also identified 13,262 Simple Sequence Repeats, which could help in molecular breeding. This is the first report of comprehensive transcriptome analysis in S. trilobatum and this will be an invaluable resource to understand the molecular basis related to the medicinal attributes of S. trilobatum in further studies.