Genome-wide characterization of Alfin-like (AL) genes in apple and functional identification of MdAL4 in response to drought stress.
Ping WangShixiong LuWenfang LiZonghuan MaJuan MaoBai-Hong ChenPublished in: Plant cell reports (2023)
Eleven Alfin-like (AL) genes were obtained from apple and MdAL4 was selected for improving drought stress tolerance of transgenic apple callus and Arabidopsis. Drought is an important environmental factor affecting plant growth all over the world. Alfin-like (AL) have well-documented functions in abiotic stress response, but their drought stress tolerance in apple (Malus domestica) are poorly understood. According to the transcriptome data, 11 MdAL genes containing conserved Alfin and PHD-finger domain were identified in apple and divided into three subgroups with a total of 35 members from different species. Subsequently, gene structures, conserved amino acid sequences, promoter cis-acting elements, and gene evolution events were analyzed. Based on differential expression of MdALs in response to abiotic stresses, MdAL4, which was highly expressed under drought, was further cloned and investigated. MdAL4 encoding nuclear-localized protein conferred enhanced drought tolerance in overexpressing transgenic calli of apple 'Orin'. Moreover, the ectopic expression of MdAL4 improved the drought tolerance of transgenic Arabidopsis, as judged from remarkably decreased malonaldehyde (MDA) content and electrolyte leakage in MdAL4 overexpressing plants relative to WT. Furthermore, MdAL4 possibly could bind to promoter regions of ROS-scavenging and stress-related genes to improve drought tolerance. Additionally, we found in silico evidence that three proteins containing the WD40 domain that interact with MdAL4. Based on these results, MdAL4 was identified as a positive regulator for improving drought stress of apple.
Keyphrases
- plant growth
- genome wide identification
- genome wide
- transcription factor
- dna methylation
- arabidopsis thaliana
- climate change
- heat stress
- copy number
- amino acid
- bioinformatics analysis
- gene expression
- genome wide analysis
- electronic health record
- ionic liquid
- machine learning
- artificial intelligence
- risk assessment
- long non coding rna
- oxidative stress
- breast cancer cells
- genetic diversity
- data analysis
- binding protein
- signaling pathway
- single molecule