Evidence map›Paper›PMID 42185798›Full record

ArticleBMC genomics2026

Integrated metabolomics and transcriptomics analysis of flavonoids in different parts of Houttuynia cordata.

Jingjian Liu, Juncheng Lin, Huimin Liu, Changhu Ke, Fangling Ren, Lun Wu, Pengju Wang, Fang Peng, Tingwen Ming, Zhihao Li

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Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Jingjian Liu *Sinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Juncheng Lin *Sinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Huimin LiuSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Changhu KeSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Fangling RenSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Lun WuSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Pengju WangSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China.
Fang PengWuhan Institute for Drug and Medical Device Control, Wuhan, Hubei, 430000, China.
Tingwen MingSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China. mtw19932024@163.com.
Zhihao LiSinopharm Dongfeng General Hospital, School of Pharmaceutical Sciences, Hubei University of Medicine, Shiyan, Hubei, 442000, China. gydfyxblzh@163.com.

Funding

Excellence Initiative of Sinopharm Dongfeng General Hospital No. Y202518Natural Science Foundation of Hubei Provincial Department of Education No. B2023108，B2023109Open Project of Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine No. WDCM2022012, WDCM2024024Scientific and Technological Project of Shiyan City of Hubei Province No. 24Y138, 24Y139
6 · The paper itself

Abstract

backgroundHouttuynia cordata (H. cordata) is an important plant used for both medicinal and edible purposes. However, the metabolic profile and biosynthetic pathways of its flavonoids are still poorly understood. Therefore, metabolomics and transcriptomics were employed to analyze the roots, stems, and leaves of H. cordata, aiming to clarify this issue.

resultsA total of 471 metabolites were identified, with flavonoids being the predominant class. Key flavonoids, including quercetin, kaempferol, and rutin, showed the highest relative abundance in leaves, subsequently confirmed by targeted absolute quantification. Transcriptomic analysis revealed a large number of differentially expressed genes (DEGs) among tissues. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that the phenylpropanoid and flavonoid biosynthesis pathways were significantly enriched among the DEGs. The majority of DEGs within these pathways, such as those encoding PAL, 4CL, CHS, and CHI, were found to be up-regulated in the leaves. These genes were further validated by real-time quantitative PCR (RT-qPCR), which showed consistent results with the transcriptomic data.

conclusionsThis work provides a comprehensive overview of the metabolite distribution and gene expression in different parts of H. cordata. Our findings highlight the leaf as the primary site for flavonoid accumulation and biosynthesis in H. cordata, laying the foundation for the utilization of candidate genes and future functional characterization of these pathways.

Indexed as

FlavonoidsGene Expression ProfilingHouttuyniaMetabolomeMetabolomicsTranscriptomeGene Expression Regulation, PlantMultiomicsPlant LeavesPlant RootsFlavonoidsFlavonoid biosynthesisHouttuynia cordataMetabolomicsTranscriptomics

Identifiers

PMID42185798
PMCPMC13390140

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