NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE5978 Query DataSets for GSE5978
Status Public on May 01, 2012
Title Transcript profiling of drought responsiveness in two contrasting rice genotypes during vegetative stage stress
Platform organism Oryza sativa Japonica Group
Sample organism Oryza sativa
Experiment type Expression profiling by array
Summary Rice (Oryza sativa), the major staple food crop is being cultivated under varying ecosystems ranging from irrigated lowland to rainfed upland environments. Improvement in the rice production under drought prone unfavourable environment depends on the development of drought tolerant genotypes which needs thorough understanding of physiological and molecular events behind the tolerance mechanism. There is considerable genetic variation for drought tolerance mechanism within the cultivated gene pool. To understand the diversity of drought response, two indica rice genotypes namely, i) Apo, an up-land drought tolerant indica veriety from Philippines and ii) IR64, a popular high yielding drought susceptible genotype were selected for this study. We used the 22K rice Oligoarray from Agilent technologies to study the transcript profile in the leaves of the two contrasting rice genotypes under control and drought stressed conditions during vegetative phase.
Keywords: Drought response
 
Overall design We used Agilent rice gene chips (G4138A) to investigate the transcript level changes in rice leaf tissues during drought stress. We used two contrasting rice genotypes (IR64 drought susceptible and Apo drought tolerant) differing in their degree of drought tolerance. Plants were grown under green house conditions and drought stress was imposed on 33rd DAS. Leaf sampling was done in both control and drought stressed plants after 6 days of drought stress. Three replications of microarray experiments were carried out by hybridizing the control samples against the drought stressed samples.
 
Contributor(s) Satoh K, Mauleon R, Manavalan L, Gan Q, Liu G, Lu T, Jun U, Bruskiewich R, Lafitte R, Kikuchi S, Leung H
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Oct 05, 2006
Last update date Dec 06, 2012
Contact name Raveendran Muthurajan
E-mail(s) [email protected], [email protected]
Phone 0063-8-536-2701
Organization name International Rice Research Institute
Department Entomology and Plant Pathology
Lab Molecular Genetics Lab
Street address Metro Manila
City makati
State/province manila
ZIP/Postal code 7777
Country Philippines
 
Platforms (1)
GPL892 Agilent-012106 Rice Oligo Microarray G4138A (Feature Number version)
Samples (6)
GSM139036 Apo_Rep1
GSM139037 Apo_Rep2
GSM139038 Apo_Rep3
Relations
BioProject PRJNA97457

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE5978_RAW.tar 32.1 Mb (http)(custom) TAR (of GPR)

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap