Comparative analysis of drought-responsive transcriptome in Indica rice genotypes with contrasting drought tolerance

Plant Biotechnol J. 2011 Apr;9(3):315-27. doi: 10.1111/j.1467-7652.2010.00560.x. Epub 2010 Aug 31.

Abstract

Genetic improvement in drought tolerance in rice is the key to save water for sustainable agriculture. Drought tolerance is a complex trait and involves interplay of a vast array of genes. Several genotypes of rice have evolved features that impart tolerance to drought and other abiotic stresses. Comparative analysis of drought stress-responsive transcriptome between drought-tolerant (DT) landraces/genotypes and drought-sensitive modern rice cultivars will unravel novel genetic regulatory mechanisms involved in stress tolerance. Here, we report transcriptome analysis in a highly DT rice landrace, Nagina 22 (N22), versus a high-yielding but drought-susceptible rice variety IR64. Both genotypes exhibited a diverse global transcriptional response under normal and drought conditions. Gene ontology (GO) analysis suggested that drought tolerance of N22 was attributable to the enhanced expression of several enzyme-encoding genes. Drought susceptibility of IR64 was attributable to significant down-regulation of regulatory components that confer drought tolerance. Pathway analysis unravelled significant up-regulation of several components of carbon fixation, glycolysis/gluconeogenesis and flavonoid biosynthesis and down-regulation of starch and sucrose metabolism in both the cultivars under drought. However, significant up-regulation of α-linolenic acid metabolic pathway observed in N22 under drought appears to be in good agreement with high drought tolerance of this genotype. Consensus cis-motif profiling of drought-induced co-expressed genes led to the identification of novel cis-motifs. Taken together, the results of the comparative transcriptome analysis led to the identification of specific genotype-dependent genes responsible for drought tolerance in the rice landrace N22.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Physiological / genetics*
  • Cluster Analysis
  • Consensus Sequence / genetics
  • Droughts*
  • Gene Expression Profiling*
  • Gene Expression Regulation, Plant*
  • Genes, Plant / genetics
  • Genotype
  • Molecular Sequence Annotation
  • Oryza / genetics*
  • Oryza / physiology*
  • Regulatory Sequences, Nucleic Acid / genetics
  • Reproducibility of Results
  • Transcription Factors / genetics
  • Up-Regulation / genetics
  • alpha-Linolenic Acid / metabolism

Substances

  • Transcription Factors
  • alpha-Linolenic Acid