2022
DOI: 10.3390/metabo12121296
|View full text |Cite
|
Sign up to set email alerts
|

Integrated Analysis of Widely Targeted Metabolomics and Transcriptomics Reveals the Effects of Transcription Factor NOR-like1 on Alkaloids, Phenolic Acids, and Flavonoids in Tomato at Different Ripening Stages

Abstract: Tomato is abundant in alkaloids, phenolic acids, and flavonoids; however, the effect of transcription factor NOR-like1 on these metabolites in tomato is unclear. We used a combination of widely targeted metabolomics and transcriptomics to analyze wild-type tomatoes and CR-NOR-like1 tomatoes. A total of 83 alkaloids, 85 phenolic acids, and 96 flavonoids were detected with significant changes. Combined with a KEGG enrichment analysis, we revealed 16 differentially expressed genes (DEGs) in alkaloid-related argin… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
12
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(15 citation statements)
references
References 48 publications
3
12
0
Order By: Relevance
“…Chalcone isomerase is the next limiting step in flavonoid biosynthesis that isomerize naringenin chalcone to naringenin. Similar to previous reports, CHI was negatively correlated with naringenin chalcone ( Yang et al., 2022 ). The following steps proceeding towards flavonones and anthocyanins were up-regulated in SSL (at the transcript level), whereas the steps towards quercetin, kaempferol, and eriodictyol were induced in LSL (at the metabolite level), respectively, suggesting the different pathway reprogramming in the two genotypes.…”
Section: Discussionsupporting
confidence: 91%
“…Chalcone isomerase is the next limiting step in flavonoid biosynthesis that isomerize naringenin chalcone to naringenin. Similar to previous reports, CHI was negatively correlated with naringenin chalcone ( Yang et al., 2022 ). The following steps proceeding towards flavonones and anthocyanins were up-regulated in SSL (at the transcript level), whereas the steps towards quercetin, kaempferol, and eriodictyol were induced in LSL (at the metabolite level), respectively, suggesting the different pathway reprogramming in the two genotypes.…”
Section: Discussionsupporting
confidence: 91%
“…To more precisely elucidate how these TFs affect fruit metabolite accumulation, we compared the metabolites between the WT and mutant fruit samples. The method for the targeted metabolomics analysis has been used to identify numerous metabolites in tomato (Li et al, 2020; Yang et al, 2022). The 1,052 metabolites identified in the current study were divided into 12 clusters (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Using CRISPR/Cas9 technology to target this gene resulted in the production of mutant fruit with decreased lycopene accumulation and ethylene production, but increased alkaloid contents compared with the corresponding wild-type (WT) levels. Moreover, NOR-like1 also affects phenolic acids and flavonoids (Yang et al, 2022). Although the effects of some TFs on fruit metabolism have been determined, many TFs remain uncharacterized and there is a lack of systematic research on how fruit ripening-6 Ethylene production in the fruit ripening stage was compared between the mutants and the WT (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…UPLC-MS/MS enables the large-scale detection, along with the accurate characterization and quantification, of substances [ 25 ]. In recent years, UPLC-MS/MS-based metabolomic analysis has dominated metabolomic studies of nutrient composition and fruit quality [ 15 , 26 , 27 , 28 ]. Furthermore, explorations of metabolome and transcriptome associations have been shown to help elucidate the genetic basis of metabolic networks [ 29 ].…”
Section: Discussionmentioning
confidence: 99%