Genome-Wide Identification and Analysis of Collar Region-Preferential Genes in Rice.
Xu JiangWoo-Jong HongSu-Kyoung LeeKi-Hong JungPublished in: Plants (Basel, Switzerland) (2023)
The collar region plays a crucial role in leaf angle formation and plant architecture, which is important for improving crop yield given the challenges of diminishing arable land and changing environmental conditions. To determine collar region-preferential genes (CRPGs) affecting plant architecture and crop yield, we conducted genome-wide transcriptomic analysis. By integrating our RNA sequencing data with public rice anatomical expression data, we identified 657 CRPGs. Verification involved testing six randomly selected CRPGs, all of which exhibited collar-preferential expression. The functional significance of CRPGs was assessed via Gene Ontology enrichment analysis, utilizing MapMan and KEGG, and literature analysis provided additional information for characterized CRPGs. Our findings revealed links between manipulating leaf angle and phytohormone-related pathways and stress responses. Moreover, based on the CRPGs, five transcription factors downstream of the liguleless 1 (LG1) gene were identified. Overall, the identified CRPGs provide potential targets for further research and breeding applications aimed at improving crop productivity by manipulating leaf architecture.
Keyphrases
- genome wide identification
- genome wide
- transcription factor
- climate change
- poor prognosis
- dna methylation
- single cell
- human health
- systematic review
- copy number
- electronic health record
- healthcare
- big data
- mental health
- high resolution
- machine learning
- long non coding rna
- data analysis
- genome wide analysis
- dna binding