A meta-analysis of microarray data revealed hub genes and transcription factors involved in drought stress response in rice (
Journal
Functional plant biology : FPB
ISSN: 1445-4416
Titre abrégé: Funct Plant Biol
Pays: Australia
ID NLM: 101154361
Informations de publication
Date de publication:
09 2022
09 2022
Historique:
received:
16
02
2022
accepted:
21
06
2022
pubmed:
8
7
2022
medline:
14
9
2022
entrez:
7
7
2022
Statut:
ppublish
Résumé
Although there are various studies attempted to clarify the genetic mechanism of plant response to drought stress that reduces crop yield, a meta-analysis can integrate the results of them to provide a better picture of the issue. Therefore, in this study, several microarray datasets of rice were meta-analysed under drought stress and normal condition using the R packages. Accordingly, differentially expressed genes (meta-DEGs) were identified. The results showed 643 and 677 upregulated and downregulated genes, respectively. The significant common Gene Ontology (GO) terms between the up- and downregulated genes were responses to abiotic stimulus , water deprivation , oxygen-containing compound and abscisic acid . The transcription factors (TF) survey showed that bHLH under drought stress activates up genes 42% more than down genes while bzip Homeodomain activates down genes 54% more than up genes. The hub downregulated genes obtained from this study were mainly related to photosynthesis and the hub upregulated genes were mainly related to stress tolerance which include heat shock proteins (HSPs), late embryogenesis abundant (LEAs), calmodulin-like protein (CML), phosphatase 2C (PP2Cs) and IAA genes. Moreover, this meta-analysis data were compared with other experimental data and the results confirmed the up and down expression of them. Our findings can provide novel insights into the molecular mechanism of rice (Oryza sativa L.) response to drought stress.
Identifiants
pubmed: 35798354
pii: FP22028
doi: 10.1071/FP22028
doi:
Substances chimiques
Transcription Factors
0
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM