Genome-Wide Identification and Expression Pattern of the GRAS Gene Family in Pitaya ( Selenicereus undatus L.).
Qamar U ZamanMuhammad Azhar HussainLatif Ullah KhanJian-Peng CuiLiu HuiDarya KhanWei LvHua-Feng WangPublished in: Biology (2022)
The GRAS gene family is one of the most important families of transcriptional factors that have diverse functions in plant growth and developmental processes including axillary meristem patterning, signal-transduction, cell maintenance, phytohormone and light signaling. Despite their importance, the function of GRAS genes in pitaya fruit ( Selenicereus undatus L.) remains unknown. Here, 45 members of the HuGRAS gene family were identified in the pitaya genome, which was distributed on 11 chromosomes. All 45 members of HuGRAS were grouped into nine subfamilies using phylogenetic analysis with six other species: maize, rice, soybeans, tomatoes, Medicago truncatula and Arabidopsis. Among the 45 genes, 12 genes were selected from RNA-Seq data due to their higher expression in different plant tissues of pitaya. In order to verify the RNA-Seq data, these 12 HuGRAS genes were subjected for qRT-PCR validation. Nine HuGRAS genes exhibited higher relative expression in different tissues of the plant. These nine genes which were categorized into six subfamilies inlcuding DELLA ( HuGRAS-1 ), SCL-3 ( HuGRAS-7 ), PAT1 ( HuGRAS-34 , HuGRAS-35 , HuGRAS-41 ), HAM ( HuGRAS-37 ), SCR ( HuGRAS-12 ) and LISCL ( HuGRAS-18 , HuGRAS-25 ) might regulate growth and development in the pitaya plant. The results of the present study provide valuable information to improve tropical pitaya through a molecular and conventional breeding program.
Keyphrases
- genome wide identification
- rna seq
- transcription factor
- single cell
- genome wide
- poor prognosis
- plant growth
- gene expression
- bioinformatics analysis
- stem cells
- big data
- lymph node
- squamous cell carcinoma
- machine learning
- electronic health record
- genome wide analysis
- early stage
- social media
- radiation therapy
- mesenchymal stem cells
- artificial intelligence
- quality improvement
- rectal cancer
- heat shock protein
- heat stress
- heat shock