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Bhartiya Krishi Anusandhan Patrika, volume 35 issue 3 (september 2020) : 151-158

Transcriptome profiling of Indian sesame (Sissemum indicum L) and discovery of genetic region markers

Sarika Jaiswal, Rukam S. Tomar, Komal Vadukool, Uma, Meenu Chopra, Vitaa, M. Rathod, M.V. Parakhia, M.A. Iqbal, Anil Rai, Dineya Kumar
1Krishi Bioinformatics Center, ICAR-India-Indian Institute of Agricultural Research, New Delhi -110 012 India

  • Submitted10-10-2020|

  • Accepted06-11-2020|

  • First Online 07-12-2020|

  • doi 10.18805/BKAP246

Cite article:- Jaiswal Sarika, Tomar S. Rukam, Vadukool Komal, Uma, Chopra Meenu, Vitaa, Rathod M., Parakhia M.V., Iqbal M.A., Rai Anil, Kumar Dineya (2020). Transcriptome profiling of Indian sesame (Sissemum indicum L)and discovery of genetic region markers. Bhartiya Krishi Anusandhan Patrika. 35(3): 151-158. doi: 10.18805/BKAP246.

ABSTRACT

Sesame (Sesamum indicum L.), is rich source of oil, protein and potent antioxidants with wide applications. Molecular approach can be of great use for trait improvement as well more availability for this crop. The present work aims at tissue specific transcriptome profiling along with biochemical pathway analysis and genic region putative marker discovery. We report 14389, 9465 and 5490 DEGs in root, leaf and flower-bud tissues, respectively. 135, 113 and 120 cellular metabolic or signaling pathways having common 118 pathways were found in root-leaf (RL), leaf-flower (LF) and flower-root (FR), respectively. 218, 170 and 180 transcription factors were identified in root, leaf and flower transcriptome, respectively. Among DEGs, microRNA targets predicted were 534, 376, and 173 in root, leaf and flower, respectively. Genic region repeat analysis revealed 379 SSR. Further variant analysis revealed 3371, 5439 and 4975 SNPs and 2257, 2403 and 2411 INDELs in root, leaf and flower, respectively. The present study will aid in understanding the major biochemical pathways operating in different tissues. Genic region putative marker discovery can be a valuable genomic resource for future crop improvement program.

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