RNA Expression Profiles and Data Mining of Sugarcane Response to Low Temperature

Autor: Vicente E. De Rosa, Eugênio C. Ulian, Fabio Tebaldi Silveira Nogueira, Marcelo Menossi, Paulo Arruda
Rok vydání: 2003
Předmět:
Zdroj: Plant Physiology. 132:1811-1824
ISSN: 1532-2548
0032-0889
DOI: 10.1104/pp.102.017483
Popis: Tropical and subtropical plants are generally sensitive to cold and can show appreciable variation in their response to cold stress when exposed to low positive temperatures. Using nylon filter arrays, we analyzed the expression profile of 1,536 expressed sequence tags (ESTs) of sugarcane (Saccharum sp. cv SP80-3280) exposed to cold for 3 to 48 h. Thirty-four cold-inducible ESTs were identified, of which 20 were novel cold-responsive genes that had not previously been reported as being cold inducible, including cellulose synthase, ABI3-interacting protein 2, a negative transcription regulator, phosphate transporter, and others, as well as several unknown genes. In addition, 25 ESTs were identified as being down-regulated during cold exposure. Using a database of cold-regulated proteins reported for other plants, we searched for homologs in the sugarcane EST project database (SUCEST), which contains 263,000 ESTs. Thirty-three homologous putative cold-regulated proteins were identified in the SUCEST database. On the basis of the expression profiles of the cold-inducible genes and the data-mining results, we propose a molecular model for the sugarcane response to low temperature.
Databáze: OpenAIRE