ArticleBMC plant biology2020
Identification of the regulatory networks and hub genes controlling alfalfa floral pigmentation variation using RNA-sequencing analysis.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 74 citations in OpenAlex.
- Integrated metabolite profiling and transcriptomic analysis reveal mechanisms underlying quinoa inflorescence color.BMC plant biology · 2026Article
- Comprehensive analysis of physiological characteristic and global transcriptional profiling to unravel the mechanism of wheat yield increase in intercropping.Frontiers in plant science · 2026Article
- Integrated transcriptomic and metabolomic profiling reveals the flower color formation mechanism of alfalfa different purple flowers.Frontiers in plant science · 2026Article
- Metabolome and transcriptome analysis of anthocyanin biosynthesis reveal key metabolites and candidate genes in red-stemmed alfalfa (Medicago sativa).BMC genomics · 2025Article
- cDNA Cloning, Bioinformatics, and Expression Analysis ofInternational journal of molecular sciences · 2025Article
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- Genetic factors explaining anthocyanin pigmentation differences.BMC plant biology · 2024Article
- Integrated transcriptomic and metabolomic analyses reveals anthocyanin biosynthesis in leaf coloration of quinoa (Chenopodium quinoa Willd.).BMC plant biology · 2024Article
- Integrated Metabolomic and Transcriptomic Profiles Provide Insights into the Mechanisms of Anthocyanin and Carotenoid Biosynthesis in Petals ofPlants (Basel, Switzerland) · 2024Article
- Comparative Transcriptome Analysis Unveils the Molecular Mechanism Underlying Sepal Colour Changes under Acidic pH Substratum in Hydrangea macrophyllaInternational journal of molecular sciences · 2022Article
- A Pan-Transcriptome Analysis Indicates Efficient Downregulation of the FIB Genes Plays a Critical Role in the Response of Alfalfa to Cold Stress.Plants (Basel, Switzerland) · 2022Article
- Genetic mapping, transcriptomic sequencing and metabolic profiling indicated a glutathione S-transferase is responsible for the red-spot-petals in Gossypium arboreum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Targeted Metabolomics Provide Chemotaxonomic Insights ofPlants (Basel, Switzerland) · 2022Article
- Identification of Key Gene Networks Controlling Soluble Sugar and Organic Acid Metabolism During Oriental Melon Fruit Development by Integrated Analysis of Metabolic and Transcriptomic Analyses.Frontiers in plant science · 2022Article
- Metabolomic and Transcriptomic Profiling Uncover the Underlying Mechanism of Color Differentiation inFrontiers in plant science · 2022Article
- Unraveling the Mechanism of Purple Leaf Formation inFrontiers in plant science · 2022Article
- Proteomics and Co-expression Network Analysis Reveal the Importance of Hub Proteins and Metabolic Pathways in Nicotine Synthesis and Accumulation in Tobacco (Frontiers in plant science · 2022Article
- Multi-Omics and miRNA Interaction Joint Analysis Highlight New Insights Into Anthocyanin Biosynthesis in Peanuts (Frontiers in plant science · 2022Article
- Pan-transcriptome identifying master genes and regulation network in response to drought and salt stresses in Alfalfa (Medicago sativa L.).Scientific reports · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundTo understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages.
resultsMalvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL, 4CL, CHS, CHR, F3'H, DFR, and UFGT were enriched in the important modules. Additionally, PAL6, PAL9, 4CL18, CHS2, 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed.
conclusionsThese analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.
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