Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Sugarcane genes differentially expressed during water deficit

Full text
Author(s):
Rodrigues, F. A. [1] ; Da Graca, J. P. [1] ; De Laia, M. L. [2, 3] ; Nhani-, Jr., A. [4] ; Galbiati, J. A. [5] ; Ferro, M. I. T. [2] ; Ferro, J. A. [2] ; Zingaretti, S. M. [1, 6]
Total Authors: 8
Affiliation:
[1] UNESP Univ Estadual Paulista, Brazilian Clone Collect Ctr, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal - Brazil
[2] UNESP Univ Estadual Paulista, Dept Technol, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal - Brazil
[3] Univ Fed Vales Jequitinhonha & Mucuri, FCA, Dept Florestal Engn, BR-39100000 Diamantina, MG - Brazil
[4] Embrapa Trigo, Ctr Biotechnol, BR-99001970 Passo Fundo, RS - Brazil
[5] UNESP Univ Estadual Paulista, Dept Rural Engn, Fac Ciencias Agr & Vet, BR-14884900 Jaboticabal - Brazil
[6] Univ Ribeirao Preto, Unit Biotechnol, BR-14096900 Ribeirao Preto, SP - Brazil
Total Affiliations: 6
Document type: Journal article
Source: Biologia Plantarum; v. 55, n. 1, p. 43-53, MAR 2011.
Web of Science Citations: 19
Abstract

To identify genes that are up and down-regulated by water deficit in sugarcane we used the macroarray methodology and the expression level of 3 575 independent sugarcane cDNAs was measured by hybridization with RNA extracted from plants submitted to mild, moderate and severe water deficit. We identified approximately 1 670 differentially expressed genes from which 62 % were up-regulated by different stress-conditions, whereas many repressed genes were exclusive for each time-point. Analysis of similarity showed that approximately 24 % of the differentially expressed genes shared homology with proteins involved in different processes such as signal transduction, hormone metabolism, photosynthesis, transcription and stress response. Transcripts with no known function accounted for approximately 39 % and those without similarity represented 36 % of the sequences. Five genes analyzed by RT-PCR confirmed the macroarray results. (AU)