Evidence map›Paper›PMID 39789475›Full record

ArticleBMC plant biology2025

Metabolic profiling of Perilla leaves of different colors: insights into metabolite variation and bioactive compound distribution.

Senouwa Segla Koffi Dossou, Qianchun Deng, Feng Li, Lei Wang, Nanjun Jiang, Habtamu Kefale, Rong Zhou, Donghua Li, Meilian Tan, Linhai Wang

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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  4. Comprehensive Review ofFoods (Basel, Switzerland) · 2025
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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Senouwa Segla Koffi DossouKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Qianchun DengKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Feng LiAmway (China) Botanical R&D Center, Wuxi, 214115, China.
Lei WangKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Nanjun JiangAmway (China) Botanical R&D Center, Wuxi, 214115, China.
Habtamu KefaleKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Rong ZhouKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Donghua LiKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Meilian TanKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
Linhai WangKey Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, 430062, China. wanglinhai@caas.cn.

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-2024-OCRIChina Agriculture Research System CARS-14Fundamental Research Funds for Central Non-profit Scientific Institution 1610172023003Hubei International Science and Technology Cooperation Project 2022EHB034, 2024EHA055National Center for Crops Germplasm Resources NCCGR-2024-016National Key Research and Development Program of China 2024YFD1600100Science and Technology Innovation Project of Hubei province 2024-620-000-001-031
6 · The paper itself

Abstract

backgroundPerilla frutescens (L.) Britt. (Lamiaceae) leaves are essential culinary and medicinal herbs, native to East Asian countries. Three types of Perilla leaves, including green, green/purple and purple, are mainly found, and the leaf color is a critical attribute for consumer preferences. However, the extent of diversity and variability of metabolites in Perilla leaves of different colors remain elusive. Thus, in this study, we applied LC-QqQ-MS (liquid chromatography triple quadrupole tandem mass spectrometry)-based widely targeted metabolic profiling to investigate variation in the metabolite profiles of green (PF1), green/purple (PF2) and purple (PF3) Perilla leaves.

resultsWe qualitatively and quantitatively identified a total of 1239 metabolites in Perilla leaves of different colors. Amino acids and derivatives (15.50%), flavonoids (14.77%), phenolic acids (12.19%), lipids (9.60%), carbohydrates and derivatives (8.47%), organic acids and derivatives (7.99%), nucleotides and derivatives (7.99%), and terpenoids (5.25%) were the major classes of metabolites in perilla leaves. In contrast to green leaves, the principal component analysis and correlation analysis revealed a considerable influence of genotypes for the variation in purple leaves' metabolite profiles. Differentially accumulated metabolites (DAMs) analysis revealed that flavonoids, phenolic acids, and amino acids and derivatives were the major DAMs, and the phenylpropanoid pathway was the most differentially regulated. All DAMs, including four potential metabolic discriminative biomarkers, were screened out. In addition, we revealed the accumulation patterns of bioactive compounds in the leaves of different colors. It was noteworthy that most of the differentially accumulated flavonoids showed a higher relative content in PF3, followed by PF2 and PF1. Glycosylated cyanidins and delphinidins were identified as the key compounds responsible for the purple coloration of leaves. Finally, we found that the variation in glutamate metabolism may be one of the main contributors for variation in metabolite profiles and biological attributes of Perilla leaves of different colors.

conclusionOur results showed that the metabolic processes, mainly phenylpropanoid biosynthesis and amino acid metabolism, are differently regulated in green, green/purple and purple Perilla leaves. Furthermore, they offer valuable data for a comprehensive use of Perilla leaves and exploring gene-metabolites interactions in Perilla leaves.

Indexed as

Plant LeavesChromatography, LiquidColorFlavonoidsMetabolomeMetabolomicsPerillaPerilla frutescensPigmentationTandem Mass SpectrometryFlavonoidsDifferentially accumulated metabolitesLC-MS/MSLeaf colorMetabolite profilingPerilla

Identifiers

PMID39789475
PMCPMC11720619

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