Comparative Transcriptional Profiling of Contrasting Rice Genotypes Shows Expression Differences during Arsenic Stress

• Published in: The plant genome 2015-07, Vol.8 (2), p.1-14
• Main Authors: Rai, Arti, Bhardwaj, Archana, Misra, Prashant, Bag, Sumit K., Adhikari, Bijan, Tripathi, Rudra D., Trivedi, Prabodh K., Chakrabarty, Debasis
• Format: Article
• Language: English
• ISSN: 1940-3372; 1940-3372
• DOI: 10.3835/plantgenome2014.09.0054

Accumulation of arsenic (As) in rice (Oryza sativa L.) grain is a serious concern worldwide. Long‐term exposure to As affects nutritional status in rice grain and is associated with higher rates of skin, bladder, and lung cancers, and heart disease. Genotypic variations in rice for As accumulation or tolerance are prevalent and are regulated by genetic and environmental factors. To understand molecular networks involved in As accumulation, genome‐wide expression analysis was performed in roots of low‐ and high‐As accumulating rice genotypes (LARGs and HARGs). Six rice genotypes with contrasting As accumulation potential and tolerance were used in this study. Genome‐wide expression analysis suggested their differential response against As stress. This study suggests up‐ and downregulation of a number of unique genes involved in various pathways and biological processes in response to As stress in rice genotypes. A comparison of gene expression profiles, principal component analysis, and K‐means clustering suggests that an independent pathway is operating during As stress tolerance or accumulation in contrasting genotypes. It was also observed that the differential behavior of aus genotype, Nayanmoni, from other LARGs might be due to its different genetic background. Cis‐motif profiling of As‐induced coexpressed genes in diverse rice genotypes led to the identification of unique cis‐motifs present in differentially expressed genes. This study suggests that the genetic mechanism regulating the differential As accumulation in different genotypes may not be dependent on gene expression at the transcriptional level. However, many genes identified in this study can be analyzed and used for marker–trait associations related to As accumulation in diverse genotypes around the world.