Background
Flavonoids have a wide range of biological activities in plant development, stress resistance and human health, etc. R2R3-MYBs are one of the key elements in regulation of flavonoid production, but their functional importance in Betula platyphylla remains elusive.
Methods
The full-length transcriptome data of 30-day-old seedlings of Betula platyphylla were used to identify BpR2R3-MYB family genes, and their gene structure, chromosome distribution and syntenic relationships were predicted by bioinformatics methods. Agrobacterium-mediated transient transformation was used to verify the function of BpR2R3-pMYB15 in flavonoid production.
Results
44 BpR2R3-MYB family genes expressed in seedlings of Betula platyphylla were identified and found to be unevenly distributed in 11 chromosomes. Among them, 90.90% of the BpR2R3-MYBs had introns, and only four genes had no introns. Five gene pairs with segment duplication were found, and their Ka/Ks ratios were less than 1. Thirty orthologs between Betula platyphylla and Arabidopsis thaliana and 68 orthologs between Betula platyphylla and Populus trichocarpa were detected. Five BpR2R3-MYBs were clustered with R2R3-MYB genes related to flavonoid synthesis, and BpR2R3-pMYB15 had the highest correlation coefficients between the value of gene expression and flavonoid content. BpR2R3-pMYB15 was cloned, and its transient overexpression obtained using Agrobacterium-mediated transformation positively regulated flavonoid production.
Conclusion
This work enriches the collection of R2R3-MYBs related to flavonoid production in seedlings of Betula platyphylla.
Graphical Abstract
Background: Numerous studies have revealed that the abnormal expression of pyroptosis-related genes is closely related to the prognosis of lung adenocarcinoma (LUAD); however, a comprehensive analysis has yet to be conducted. This study aimed to reveal the influence of pyroptosis-related genes on the prognosis of LUAD and establish a prognostic model based on those genes, in order to evaluate the prognosis of LUAD.
Methods:The data of tumor and normal samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential analysis was used to identify pyroptosis-related genes (obtained from the GeneCards database) that were differentially expressed (DE) in TCGA database. Univariate and stepwise multivariate Cox proportional hazards regression analyses were used to screen feature genes related to LUAD overall survival (OS) and construct gene signature. Gene set enrichment analysis (GSEA) was then performed to reveal potential functions related to gene signature.Finally, the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to reveal distinctions in each cell-subtype groups in the immune landscape of LUAD.Results: Overall, 26 DE genes (DEGs) associated with pyroptosis were obtained. Among them, 4 (MKI67, BTK, MST1, and TUBB6) were selected as prognostic genes and a 4-gene signature with a good prognostic performance in the TCGA and GEO was constructed. The gene signature was shown to be an independent prognostic factor of LUAD in subsequent analysis. Functional enrichment indicated that the 4-gene signature may participate in the tumorigenesis and development of LUAD through various pathways related to tumor progression to play a prognostic role in LUAD. Additionally, the results of the immune landscape indicated that the 4-gene signature may affect the prognosis of LUAD via cooperating with changes in the immune microenvironment.
Conclusions:The key biomarkers and pathways identified in this study would deepen the comprehension of the molecular mechanism of pyroptosis in LUAD. More importantly, the 4-gene signature may serve as a novel potential prognostic model for LUAD.
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