ArticleScientific reports2018
RNA sequencing and de novo assembly of Solanum trilobatum leaf transcriptome to identify putative transcripts for major metabolic pathways.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
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- Dynamic transcriptome landscape of pulmonary tissues of rats infected withAmerican journal of translational research · 2022Article
- Genome skimming-based simple sequence repeat (SSR) marker discovery and characterization inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021Article
- Comparative evaluation of full-length isoform quantification from RNA-Seq.BMC bioinformatics · 2021Review
- Dynamic transcriptome landscape of Paragonimus proliferus developmental stages in the rat lungs.Parasitology research · 2021Article
- Reference transcriptomes and comparative analyses of six species in the threatened rosewood genus Dalbergia.Scientific reports · 2020Article
- De novo transcriptome analysis of Lantana camara L. revealed candidate genes involved in phenylpropanoid biosynthesis pathway.Scientific reports · 2020Article
- Transcriptomic Features of Echinococcus granulosus Protoscolex during the Encystation Process.The Korean journal of parasitology · 2020Article
- De novo transcriptome of Gymnema sylvestre identified putative lncRNA and genes regulating terpenoid biosynthesis pathway.Scientific reports · 2019Article
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3 authors.
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Abstract
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.
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