Multi-algorithm cooperation research of WRKY genes under nitrogen stress in Panax notoginseng.
Tingting ZhangCaijuan ZhangXuemin ZhangZongsuo LiangPengguo XiaPublished in: Protoplasma (2022)
WRKY transcription factors play an important role in the immune system and the innate defense response of plants. WRKY transcription factors have great feedback on nitrogen stress. In this study, bioinformatics was used to detect the WRKYs of Panax notoginseng (PnWRKYs). The response of PnWRKYs under nitrogen stress was also well studied. PnWRKYs were distributed on 11 chromosomes. According to PnWRKY and Arabidopsis thaliana WRKY (AtWRKY) domains, these PnWRKY proteins were divided into three groups by phylogenetic analysis. MEME analysis showed that almost every member contained motif 1 and motif 2. PlantCARE online predicted the cis-acting elements of the promoter. PnWRKY gene family members obtained 22 pairs of repeat fragments by collinearity analysis. The expression levels of PnWRKYs in different parts (roots, flowers, and leafs) were analyzed by the gene expression pattern. They reflected tissue-specific expressions. The qRT-PCR experiments were used to detect 74 PnWRKYs under nitrogen stress. The results showed that the expression levels of 8 PnWRKYs were significantly induced. The PnWRKY gene family may be involved in biotic/abiotic stresses and hormone induction. This study will not only lay the foundation to explore the functions of PnWRKYs but also provide candidate genes for the future improvement of P. notoginseng.
Keyphrases
- transcription factor
- genome wide identification
- gene expression
- arabidopsis thaliana
- genome wide analysis
- dna binding
- poor prognosis
- immune response
- stress induced
- dna methylation
- machine learning
- genome wide
- binding protein
- healthcare
- deep learning
- oxidative stress
- heat stress
- current status
- diabetic rats
- data analysis
- drug induced
- neural network
- solid state