Dataset Information

Co-analysis of the metabolomics and transcriptomics reveals regulation network of mint pigment and flavone

ABSTRACT:

Mint is considered to have a greater number of phenolic acids, flavonoids, antioxidants and other bioactive components, and is widely used as food, medicine, spices, and flavoring agents. Thus, metabolites composition is an important parameter for assessing the quality of mint. In this study, two mint cultivars (Mentha canadensis L.) were sampled, purple mint and green mint. The purple mint had much higher anthocyanin and total flavone content compared with green mint. Transcriptomics and metabolomics technique were employed to elucidate the regulation network of mint pigment and flavone. A total of 167,901 unigenes were obtained by high-throughput RNA-Seq and 34,608 genes were differentially expressed. The differentially expressed genes (DEGs) were mainly involved in lignin metabolic process and flavonoid biosynthetic process. A total of 143 differentially expressed metabolites (DEMs) were enriched in isoflavonoid, flavonoid biosynthesis, flavone and flavonol biosynthesis, and anthocyanin biosynthesis pathways. The co-analysis results of DEGs and DEMs showed that the flavone and flavonol biosynthesis pathway (ko00944) contained the most DEMs, followed by flavonoid biosynthesis pathway (ko00941) and anthocyanin biosynthesis pathway (ko00942). Furthermore, the most important nine genes and metabolites were screened using O2PLS model. The results will provide a theoretical basis for revealing pigment and flavone biosynthesis network of mint.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse-phase, Liquid Chromatography MS - positive - reverse-phase

PROVIDER: MTBLS13345 | MetaboLights | 2025-11-21

REPOSITORIES: MetaboLights

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	a_MTBLS13345_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS13345_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13345_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS13345_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular

Items per page:

1 - 5 of 6

Similar Datasets

Project description:BACKGROUND: Loropetalum chinense var. rubrum (L. chinense var. rubrum) is a precious, native, coloured-leaf ornamental plant in the Hunan Province. We found a L. chinense var. rubrum tree with 3 different leaf colours: GL (green leaf), ML (mosaic leaf) and PL (purple leaf). The mechanism of leaf coloration in this plant is still unclear. The aim of this study was to identify the metabolites and genes involved in determining the colour composition of L. chinense var. rubrum leaves, using phenotypic/anatomic observations, pigment content detection, and comparative metabolomics and transcriptomics.RESULTS: We observed that the mesophyll cells in PL were purple, those in GL were green and those in ML were a mix of purple-green. The contents of chlorophyll a, b, carotenoids and total chlorophyll in PL and ML were significantly lower than those in GL. While the anthocyanin content in PL and ML was significantly higher than that in GL. The metabolomics results showed that the differences in content of cyanidin 3-O-glucoside, delphinidin 3-O-glucoside, cyanidin 3,5-O-diglucoside, pelargonin and petunidin 3,5-diglucoside in ML, GL and PL were significant. Considering that the trend of anthocyanin content change was consistent with the leaf colour difference, we speculated that these compounds might influence the colour of L. chinense var. rubrum leaves. Finally, using transcriptomics, we identified 9 differentially expressed structural genes (one ANR (ANR1217); four CYP75A (CYP75A1815, CYP75A2846, CYP75A2909 and CYP75A1716); four UFGTs (UFGT1876, UFGT1649, UFGT1839 and UFGT3273) and nine transcription factors (two MYBs (MYB1057 and MYB1211), one MADS-box (MADS1235), two AP2-likes (AP2-like1779 and AP2-like2234), one bZIP (bZIP3720), two WD40s (WD2173 and WD1867) and one bHLH (bHLH1631) that might be related to flavonoid biosynthesis that impacted the appearance of colour in L. chinense var. rubrum leaves.CONCLUSIONS: This study revealed potential molecular mechanisms associated with leaf coloration in L. chinense var. rubrum by analysing differential metabolites and genes related to the anthocyanin biosynthesis pathway. It also provides a reference for research on leaf colour variation in other ornamental plants.

Dataset Information

Co-analysis of the metabolomics and transcriptomics reveals regulation network of mint pigment and flavone

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets