ArticleBMC genomics2020
Genome-wide characterization and expression profiling of MAPK cascade genes in Salvia miltiorrhiza reveals the function of SmMAPK3 and SmMAPK1 in secondary metabolism.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- MAPK regulates secondary metabolism and abiotic stress in horticultural and medicinal plants.Horticulture research · 2026Article
- Comparative genomic analysis of the MAPKKK gene family reveals WGD-driven expansion and strong evolutionary constraints in Asteraceae.Frontiers in plant science · 2026Article
- Multidimensional regulation of transcription factors: decoding the comprehensive signals of plant secondary metabolism.Frontiers in plant science · 2025Review
- MAPK3-MYB36-ARF1 module regulates the tanshinone formation inPlant signaling & behavior · 2024Article
- Bioinformatic Identification and Expression Analyses of the MAPK-MAP4K Gene Family Reveal a Putative Functional MAP4K10-MAP3K7/8-MAP2K1/11-MAPK3/6 Cascade in Wheat (Plants (Basel, Switzerland) · 2024Article
- Gene Expression and Interaction Analysis ofPlants (Basel, Switzerland) · 2023Article
- The SmNPR4-SmTGA5 module regulates SA-mediated phenolic acid biosynthesis inHorticulture research · 2023Article
- Insight into oral amphiphilic cyclodextrin nanoparticles for colorectal cancer: comprehensive mathematical model of drug release kinetic studies and antitumoral efficacy in 3D spheroid colon tumors.Beilstein journal of organic chemistry · 2023Article
- Review
- Comparative transcriptome analyses of differentPeerJ · 2021Article
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Authors and funding
7 authors.
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Abstract
backgroundThe contribution of mitogen-activated protein kinase (MAPK) cascades to plant growth and development has been widely studied, but this knowledge has not yet been extended to the medicinal plant Salvia miltiorrhiza, which produces a number of pharmacologically active secondary metabolites.
resultsIn this study, we performed a genome-wide survey and identified six MAPKKK kinases (MAPKKKKs), 83 MAPKK kinases (MAPKKKs), nine MAPK kinases (MAPKKs) and 18 MAPKs in the S. miltiorrhiza genome. Within each class of genes, a small number of subfamilies were recognized. A transcriptional analysis revealed differences in the genes' behaviour with respect to both their site of transcription and their inducibility by elicitors and phytohormones. Two genes were identified as strong candidates for playing roles in phytohormone signalling. A gene-to-metabolite network was constructed based on correlation analysis, highlighting the likely involvement of two of the cascades in the synthesis of two key groups of pharmacologically active secondary metabolites: phenolic acids and tanshinones.
conclusionThe data provide insight into the functional diversification and conservation of MAPK cascades in S. miltiorrhiza.
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