Towards establishment of a rice stress response interactome

PLoS Genet. 2011 Apr;7(4):e1002020. doi: 10.1371/journal.pgen.1002020. Epub 2011 Apr 14.

Abstract

Rice (Oryza sativa) is a staple food for more than half the world and a model for studies of monocotyledonous species, which include cereal crops and candidate bioenergy grasses. A major limitation of crop production is imposed by a suite of abiotic and biotic stresses resulting in 30%-60% yield losses globally each year. To elucidate stress response signaling networks, we constructed an interactome of 100 proteins by yeast two-hybrid (Y2H) assays around key regulators of the rice biotic and abiotic stress responses. We validated the interactome using protein-protein interaction (PPI) assays, co-expression of transcripts, and phenotypic analyses. Using this interactome-guided prediction and phenotype validation, we identified ten novel regulators of stress tolerance, including two from protein classes not previously known to function in stress responses. Several lines of evidence support cross-talk between biotic and abiotic stress responses. The combination of focused interactome and systems analyses described here represents significant progress toward elucidating the molecular basis of traits of agronomic importance.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adaptation, Physiological
  • Cloning, Molecular
  • Gene Expression Profiling
  • Host-Pathogen Interactions / genetics*
  • Immunity, Innate
  • Oryza / genetics*
  • Oryza / immunology
  • Oryza / microbiology
  • Phenotype
  • Plant Diseases / immunology
  • Plant Diseases / prevention & control
  • Plant Proteins / genetics
  • Plant Proteins / metabolism*
  • Protein Interaction Mapping
  • Stress, Physiological*
  • Transcription Factors / genetics
  • Transcription Factors / metabolism*
  • Two-Hybrid System Techniques
  • Xanthomonas / pathogenicity

Substances

  • Plant Proteins
  • Transcription Factors