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oai:figshare.com:article/33952142 2026-09-21T11:04:33Z category_4 category_12 category_13 category_14 category_16 category_21 category_272 category_873 category_734 category_128 category_132 category_133 category_135 portal_63 item_type_3 month_year_09_2026

Integrated Transcriptome and Metabolome Analysis Reveals the Molecular Basis Underlying Anthocyanin Biosynthesis Associated with Different Flower Colors in Vicia faba L. Changcai Teng (25083098) Xianli Zhou (2847221) Hongyan Zhang (618068) Wanwei Hou (6165602) Ping Li (31981) Chengzhang Du (25083101) Yujiao Liu (646278) Biochemistry Cell Biology Genetics Molecular Biology Physiology Biotechnology Environmental Sciences not elsewhere classified Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Hematology Infectious Diseases Plant Biology Computational Biology underlying regulatory mechanisms one wrky ), metabolome analysis reveals five transcription factors three flower colors different flower colors vicia faba l white flower germplasms flower color faba bean white flowers vfgst18 </ vfchi4 </ valuable reference ufgts </ two mybs two bhlhs results provide pigmented flowers metabolomic analyses integrated transcriptome integrated omics differentially expressed chss </ anthocyanin content anthocyanin components anthocyanin biosynthesis 29 μg 28 μg Faba bean (Vicia faba L.) exhibits significant variation in flower color. To elucidate the underlying regulatory mechanisms, transcriptomic and metabolomic analyses were conducted on pink, gray, and white flower germplasms. Anthocyanin content was higher in pigmented flowers (162.29 μg/g) than in white flowers (36.28 μg/g). Compared to white flowers, gray flowers showed upregulation of four key metabolites related to petunidin, cyanidin, and delphinidin. Pink flowers encompassed 15 derivatives derived from cyanidin, delphinidin, peonidin, petunidin, and malvidin. Across the three flower colors, 70 structural genes involved in anthocyanin biosynthesis were differentially expressed. Integrated omics and weighted gene coexpression network analysis (WGCNA) identified 15 candidate regulators: ten structural genes (<i>VfCHI4</i>, four <i>CHSs</i>, four <i>UFGTs</i>, <i>VfGST18</i>) and five transcription factors (two MYBs, two bHLHs, one WRKY), all of which showed significant positive correlations with anthocyanin components. These results provide a valuable reference for understanding the molecular mechanisms underlying flower color variation. 2026-09-21T00:00:00Z Dataset Dataset 10.1021/acs.jafc.6c03598.s002 https://figshare.com/articles/dataset/Integrated_Transcriptome_and_Metabolome_Analysis_Reveals_the_Molecular_Basis_Underlying_Anthocyanin_Biosynthesis_Associated_with_Different_Flower_Colors_in_Vicia_faba_L_/33952142 CC BY-NC 4.0