Maize GOLDEN2-LIKE proteins enhance drought tolerance in rice by promoting stomatal closure.
Xia LiJing LiShaobo WeiYuan GaoHongcui PeiRudan GengZefu LuPeng WangWen-Bin ZhouPublished in: Plant physiology (2023)
Drought has become one of the most severe abiotic stresses experienced in agricultural production across the world. Plants respond to water deficit via stomatal movements in the leaves, which are mainly regulated by abscisic acid (ABA). A previous study from our lab showed that constitutive expression of maize (Zea mays L.) GOLDEN2-LIKE (GLK) transcription factors in rice (Oryza sativa L.) can improve stomatal conductance and plant photosynthetic capacity under field conditions. In the present study, we uncovered a function of ZmGLKs regulation of stomatal movement in rice during drought stress. We found that elevated drought tolerance in rice plants overexpressing ZmGLK1 or GOLDEN2 (ZmG2) was conferred by rapid ABA-mediated stomatal closure. Comparative analysis of RNA-sequencing (RNA-seq) data from the rice leaves and DNA-affinity purification sequencing (DAP-seq) results obtained in vitro revealed that ZmGLKs played roles in regulating ABA-related and stress-responsive pathways. Four up-regulated genes closely functioning in abiotic stress tolerance with strong binding peaks in the DAP-seq data were identified as putative target genes of ZmGLK1 and ZmG2 in rice. These results demonstrated that maize GLKs play an important role in regulating stomatal movements to coordinate photosynthesis and stress tolerance. This trait is a valuable target for breeding drought-tolerant crop plants without compromising photosynthetic capacity.
Keyphrases
- single cell
- arabidopsis thaliana
- rna seq
- transcription factor
- climate change
- genome wide
- heat stress
- genome wide identification
- plant growth
- electronic health record
- stress induced
- risk assessment
- dna binding
- poor prognosis
- heavy metals
- machine learning
- circulating tumor
- drug delivery
- dna methylation
- long non coding rna
- cell free
- early onset
- drug induced
- bioinformatics analysis
- cell wall