Accession PRJCA012202
Title Rice drought transcriptome and metabolome data
Relevance Agricultural
Data types Raw sequence reads
Assembly
metabolome
Organisms Oryza sativa
Oryza sativa Japonica Group
Description This raw data is untargeted metabolome sequencing of wild-type rice Nipponbare. It is transgenic overexpressing OsCIPK17 in roots in normal and drought conditions.
Sample scope Multiisolate
Release date 2022-11-28
Publication
PubMed ID Article title Journal name DOI Year
36699859 Combined metabolomic and transcriptomic analysis reveals key components of OsCIPK17 overexpression improves drought tolerance in rice Frontiers in Plant Science 10.3389/fpls.2022.1043757 2023
36430648 Combined Metabolomic and Transcriptomic Analysis Reveals Allantoin Enhances Drought Tolerance in Rice International Journal of Molecular Sciences 10.3390/ijms232214172 2022
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) General Program 32172104
Submitter xin zhang (2311906195@qq.com)
Organization Nantong University
Submission date 2022-09-28

Project Data

Resource name Description
BioSample (12)  show -
GSA (1) -
CRA008371 Rice drought transcriptome data