Coordination of m 6 A mRNA Methylation and Gene Transcriptome in Sugarcane Response to Drought Stress.
Jinju WeiHaibi LiYiyun GuiHui ZhouRonghua ZhangKai ZhuXihui LiuPublished in: Plants (Basel, Switzerland) (2023)
The N 6 -methyladenosine (m 6 A) methylation of mRNA is involved in biological processes essential for plant growth. To explore the m 6 A modification of sugarcane and reveal its regulatory function, methylated RNA immunoprecipitation sequencing (MeRIP-seq) was used to construct the m 6 A map of sugarcane. In this study, m 6 A sites of sugarcane transcriptome were significantly enriched around the stop codon and within 3'-untranslated regions (3'UTR). Gene ontology (GO) analysis showed that the m 6 A modification genes are associated with metabolic biosynthesis. In addition, the m 6 A modification of drought-resistant transcript mRNA increased significantly under drought (DR) treatment, resulting in enhanced mRNA stability, which is involved in regulating sugarcane drought resistance. GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment results showed that differentially methylated peak (DMP) modification of differentially expressed genes (DEGs) in DR were particularly associated with abscisic acid (ABA) biosynthesis. The upregulated genes were significantly enriched in the ABA metabolism, ethylene response, fatty acid metabolism, and negative regulation of the abscisic acid activation signaling pathway. These findings provide a basis and resource for sugarcane RNA epigenetic studies and further increase our knowledge of the functions of m 6 A modifications in RNA under abiotic stress.
Keyphrases
- genome wide
- dna methylation
- plant growth
- arabidopsis thaliana
- genome wide identification
- copy number
- transcription factor
- signaling pathway
- fatty acid
- single cell
- climate change
- gene expression
- binding protein
- rna seq
- healthcare
- heat stress
- genome wide analysis
- cell proliferation
- nucleic acid
- pi k akt
- bioinformatics analysis
- endoplasmic reticulum stress
- oxidative stress
- smoking cessation
- data analysis