生物
代谢组学
转录组
仿形(计算机编程)
紫苏
计算生物学
紫苏
遗传学
生物信息学
基因表达
基因
生物化学
生态学
原材料
计算机科学
操作系统
作者
Fangyu Xing,Qianlin Xiao,Hameed Gul,Tingting Liu,Wan Cao,Yingyi Zhang,Hong Duan,Yongjun Li,Liang Jia-hong,Xingcui Zhang,Delin Xu,Zhizhai Liu
出处
期刊:Gene
[Elsevier]
日期:2024-08-08
卷期号:929: 148828-148828
被引量:1
标识
DOI:10.1016/j.gene.2024.148828
摘要
Perilla (Perilla frutescens L.) is a time-honored herbal plant with widespread applications in both medicine and culinary practices around the world. Profiling the essential organs and tissues with medicinal significance on a global scale offers valuable insights for enhancing the yield of desirable compounds in Perilla and other medicinal plants. In the present study, genome-wide RNA-sequencing (RNA-seq) and assessing the global spectrum of metabolites were carried out in the two major organs/tissues of stem (PfST) and leaf (PfLE) in Perilla. The results showed a total of 18,490 transcripts as the DEGs (differentially expressed genes) and 144 metabolites as the DAMs (differentially accumulated metabolites) through the comparative profiling of PfST vs PfLE, and all the DEGs and DAMs exhibited tissue-specific trends. An association analysis between the transcriptomics and metabolomics revealed 14 significantly enriched pathways for both DEGs and DAMs, among which the pathways of Glycine, serine and threonine metabolism (ko00260), Glyoxylate and dicarboxylate metabolism (ko00630), and Glucagon signaling pathway (ko04922) involved relatively more DEGs and DAMs. The results of qRT-PCR assays of 18 selected DEGs confirmed the distinct tissue-specific characteristics of all identified DEGs between PfST and PfLE. Notably, all eight genes associated with the flavonoid biosynthesis/metabolism pathways exhibited significantly elevated expression levels in PfLE compared to PfST. This observation suggests a heightened accumulation of metabolites related to flavonoids in Perilla leaves. The findings of this study offer a comprehensive overview of the organs and tissues in Perilla that have medicinal significance.
科研通智能强力驱动
Strongly Powered by AbleSci AI