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Samarendra Das

Samarendra Das

Indian Agricultural Statistics Research Institute, India

Title: Gene selection and co-expression modules detection common to various abiotic stress responses in rice and Arabidopsis

Biography

Biography: Samarendra Das

Abstract

Climate change is predicted to have a grave threat to crop growth due to the damaging effects resulting abiotic stresses like drought, heat, cold, salinity, etc., which might lead to catastrophic loss of crop productivity and may end up with a wide spread famine. Rice, being the major staple food crop for more than half of the world’s population is seriously affected by these abiotic stresses. Rice is simultaneously exposed to these multiple stresses, which brings various changes in molecular mechanisms governed within the cell. The identification and characterization of molecular components underlying to various stress response mechanism in rice, is of great interest to crop breeding in improving grain yield. In this study, meta-analysis was performed on four different abiotic stresses in rice and Arabidopsis by analyzing 446 micro-array samples pertained to various micro-array experiments. For the identification of stress responsive genes, a gene selection technique called Bootstrap-Maximum Relevance and Minimum Redundancy in conjunction with non-parametric statistical testing procedure has been proposed. The selected genes are then assessed by quantitative trait loci, gene ontology analysis. The gene co-expression modules as well as networks are constructed by using weighted gene co-expression network analysis technique for four abiotic stresses in both the plant species. For each stress, the hub genes presented in the network are identified by using a proposed technique called bootstrap gene co-expression analysis. Based on the hub genes, we also predicted the three-dimensional structures of some crucial proteins related to the abiotic stress response in rice for understanding the roles of these proteins in these networks. This computational study puts some new light on the mechanism of abiotic stress tolerance in rice.