Transcriptome and Metabolomics Integrated Analysis Reveals Terpene Synthesis Genes Controlling Linalool Synthesis in Grape Berries.
Songyu LiuBingqi ShanXiaomiao ZhouWenping GaoYaran LiuBao-Qing ZhuLei SunPublished in: Journal of agricultural and food chemistry (2022)
In this study, four hybrids from the cross between "Italia" and "Tamina" grapes were chosen to investigate their distinct monoterpenoids patterns and candidate genes involved. Monoterpenoid profiles and transcriptome data were generated at four berry developmental stages. Trans-rose oxide, cis-rose oxide, citronellol, neral, nerol, nerol oxide, geraniol, geranial, geranic acid, and cis-isogeraniol were the dominant compounds in R250 hybrid, while linalool, hotrienol, linalool oxide pyranoside, and cis-furan linalool oxide were the main compounds in R77 hybrid. Six TPS-g subfamily genes were found related with the contents of linalool and its related monoterpenoids by weighted gene coexpression network analysis (WGCNA) and phylogenetic analysis. Among them, TPS59 was cloned and functionally verified by transient overexpression in the leaves of Vitis quinquangularis . Meanwhile, NAC ( newGene_195 ), C2C2-GATA ( VIT_15s0021g02510 ), and bHLH ( VIT_14s0128g00110 ) were selected as candidate transcription factors (TFs) that could regulate the expression of the six TPS-b genes. These data enhanced our understanding on the regulation of monoterpenoid biosynthesis in grapes.
Keyphrases
- transcription factor
- genome wide identification
- network analysis
- genome wide
- dna methylation
- gene expression
- electronic health record
- genome wide analysis
- rna seq
- dna binding
- single cell
- mass spectrometry
- copy number
- cell proliferation
- poor prognosis
- magnetic resonance
- bioinformatics analysis
- big data
- machine learning
- computed tomography
- magnetic resonance imaging
- data analysis
- artificial intelligence
- brain injury
- long non coding rna
- subarachnoid hemorrhage