Evidence map›Paper›PMID 42056871›Full record

ArticleBMC plant biology2026

Integrative transcriptomic and metabolomic profiling elucidates the metabolic network underlying development in Salsola collina.

Ye Chen, Wenhui Bi, Jinyan Hao, Shipeng Li, Wenli Wu, Songdan Zheng, Mingxing Wang, Yanli Fan, Yongjie Ma, Huiyuan Ya

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In one paragraph

Article in BMC plant biology, 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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5 · Who and what money

Authors and funding

10 authors.

Ye ChenCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Wenhui BiCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Jinyan HaoCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Shipeng LiCollege of Life Science, Luoyang Normal University, Luoyang, Henan, China.
Wenli WuCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Songdan ZhengCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Mingxing WangCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Yanli FanCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Yongjie MaCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China.
Huiyuan YaCollege of Food and Drug, Luoyang Normal University, Luoyang, Henan, China. yahuiyuan@lynu.edu.cn.

Funding

Key Science and Technology Program of Henan Province 242102310580Key Science and Technology Program of Henan Province 252102230108Key Scientific Research Projects of Universities in Henan Province 26A220005Key Scientific Research Projects of Universities in Henan Province 26B180006
6 · The paper itself

Abstract

backgroundSalsola collina Pall. is a typical food-medicinal resource with considerable nutritional and medicinal value. However, systematic investigations into the dynamic changes in the chemical composition of the leaves of this species during the growth cycle remain limited to date.

resultsAn integrated approach of transcriptomics and metabolomics was employed to identify and analyze the metabolites and genes in S. collina leaves at different growth stages in this study. A total of 1,125 differentially accumulated metabolites (DAMs) and 16,200 differentially expressed genes (DEGs) were identified. Mapping of the DEGs and DAMs to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways revealed the significant enrichment of the phenylpropanoid biosynthesis pathway and flavonoid biosynthesis pathway, which were then considered core metabolic pathways. Within these two pathways, 258 DEGs and 26 DAMs were detected. The C4H and 4CL genes were expressed at relatively high levels during flowering, and the expression levels of most CHS, F3H, FLS, and ANR genes were relatively high during fruiting. The total flavonoid, polyphenol, and alkaloid contents peaked at the flowering stage, with values of 8.944 mg/g, 6.659 mg/g, and 6.616 mg/g, respectively.

conclusionsThis study elucidates the regulatory effect of growth stage on the secondary metabolites in S. collina leaves, providing a theoretical basis and experimental evidence to support the research aimed at determining the precise harvesting time and realizing the efficient utilization of S. collina resources.

Indexed as

Metabolic Networks and PathwaysMetabolomeTranscriptomeFlavonoidsGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsMultiomicsPlant LeavesFlavonoidsFlavonoid biosynthesisMetabolomeSalsola collina Pall.Transcriptome

Identifiers

PMID42056871
PMCPMC13270569

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.