African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12487

Full Length Research Paper

Isolation of a novel PP2C gene from rice and its response to abiotic stresses

Yunyun Jiang1,2, Jiali Dong1,2, Rongjun Chen1*, Xiaoling Gao1 and Zhengjun Xu1
1Rice Research Institute of Sichuan Agricultural University, Chengdu, Sichuan 611134, China. 2College of Agriculture, Sichuan Agricultural University, Chengdu, Sichuan 611134, China.
Email: [email protected]

  •  Accepted: 09 June 2011
  •  Published: 20 July 2011

Abstract

Biotic and abiotic stresses adversely affect plant growth and improvement. In order to discover new stress-tolerance genes in rice (Oryza sativa L.), we analyzed a global genome expression profiling of the indica cultivar Pei’ai 64S, using Affymetrix rice expression chip, subjected to cold, drought or heat stress. A large number of genes highly up regulated or down regulated were identified under the stresses. One of these genes, O. sativa L. protein phosphatase2C-l (OsPP2C1)was highly induced in leaf and panicle at the heading and flowering stages, in response to all stresses. The expression profile of OsPP2C1 obtained by the microarray analysis was confirmed by quantitative real-time PCR (qRT-PCR). The two sets of data matched very well, suggesting that OsPP2C1 is a multiple stresses responsive gene in rice. In order to study its function in stress tolerance, the cDNA of the gene was cloned by reverse transcription (RT-PCR). Sequence analysis showed that there is 3bp discrepancy between the cDNA of japonica and indica group. Deduced protein from OsPP2C1 cDNA has molecular weight about 37.6 kD and isoelectric points about 6.16. Analysis of the putative promoter regions showed that there were about 10 kinds of stress induced by cis-acting elements. Based on the mentioned analyses and results obtained, we propose that OsPP2C1 is a novel candidate gene involved in stress tolerance in rice. 

 

Key words: Rice, stress, microarray, real-time PCR, analysis function.