Upasna Srivastava, D. P. Wankade, S. Gahoi, S. P. Mishra and Soma S. Marla
Posters: Agrotechnol
Plant functional proteomics has emerged as a new and rapidly evolving scientific discipline to study the functions of genes as well as their corresponding proteins. In response to stress, plants activate a number of defense mechanisms that help the pants to alleviate the stress with enhanced tolerance. Pigeon pea ( Cajanus cajan ) is an important food legume crop of tropical and sub-tropical regions of the world. It is diploid with moderate genome size of 858 Mbp. We analyzed, nearly 13 million raw sequence reads (454 GS-FLX; N. K. Singh et al., 2012) of popular variety Asha. The datasets were used for prediction of disease resistance genes such as NBS-LRR, NB-ARC, Leucine Rich etc. All predicted genes were functionally annotated following a consensus approach of either known homologous or predictive sequence signatures using CLC Genomics workbench version 6.5.1, Swiss-Prot, BLAST2GO, TrEMBL, InterPro and KEGG. After the functional analysis of predicted genes, the resistant proteins are modeled using Discovery Studio 3.5. The evolutionary relationships of the resistance genes and the existing gene- gene interactions are being studied.
Upasna Srivastava is currently working as Next-generation sequencing analyst at NBPGR, ICAR Pusa Campus New Delhi. She had been recognized and lauded for bioinformatics knowledge. She completed her Ph.D. dissertation work in bioinformatics entitled Antibody modeling and vaccine d esign for cervical cancer caused by HPV type 16 E 7 Protein from SHIATS, Allahabad University. She graduated in 2004 with a degree in Bioscience and completed my post-graduation in the area of Bioinformatics in 2007. Many of her research activities were in the field of molecular docking, Modeling, Vaccine designing, transcriptome sequencing etc.