Comprehensive Analyses of Nitric Oxide-Induced Plant Stem Cell-Related Genes in Arabidopsis thaliana.
Muhammad ShahidQari Muhammad ImranAdil HussainMurtaza KhanSang-Uk LeeBong Gyu MunByung-Wook YunPublished in: Genes (2019)
Plant stem cells are pluripotent cells that have diverse applications in regenerative biology and medicine. However, their roles in plant growth and disease resistance are often overlooked. Using high-throughput RNA-seq data, we identified approximately 20 stem cell-related differentially expressed genes (DEGs) that were responsive to the nitric oxide (NO) donor S-nitrosocysteine (CySNO) after six hours of infiltration. Among these DEGs, the highest number of positive correlations (R ≥ 0.8) was observed for CLAVATA3/EMBRYO SURROUNDING REGION-RELATED (CLE) 12. Gene ontology (GO) terms for molecular function showed DEGs associated with signal transduction and receptor activity. A promoter study of these DEGs showed the presence of cis-acting elements that are involved in growth as well as the regulation of abiotic and biotic stress. Phylogenetic analysis of the Arabidopsis stem cell-related genes and their common orthologs in rice, soybean, poplar, and tomato suggested that most soybean stem cell-related genes were grouped with the Arabidopsis CLE type of stem cell genes, while the rice stem cell-related genes were grouped with the Arabidopsis receptor-like proteins. The functional genomic-based characterization of the role of stem cell DEGs showed that under control conditions, the clv1 mutant showed a similar phenotype to that of the wild-type (WT) plants; however, under CySNO-mediated nitrosative stress, clv1 showed increased shoot and root length compared to WT. Furthermore, the inoculation of clv1 with virulent Pst DC3000 showed a resistant phenotype with fewer pathogens growing at early time points. The qRT-PCR validation and correlation with the RNA-seq data showed a Pearson correlation coefficient of >0.8, indicating the significantly high reliability of the RNA-seq analysis.
Keyphrases
- stem cells
- rna seq
- single cell
- nitric oxide
- plant growth
- high throughput
- transcription factor
- cell therapy
- wild type
- arabidopsis thaliana
- genome wide identification
- gene expression
- dna methylation
- machine learning
- magnetic resonance imaging
- copy number
- bone marrow
- big data
- cell proliferation
- stress induced
- artificial intelligence
- drug induced
- bioinformatics analysis
- binding protein