Transcriptome profiling of shoot apex and leaf tissues reveals regulatory networks controlling flowering time in Vicia faba
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP598076
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This study investigates the molecular basis of flowering time variation in Vicia faba by comparing early- and late-flowering cultivars, Gubbestad and Honey. Using RNA-seq analysis of shoot apex and leaf tissues across key stages, combined with differential expression analysis (DEGs), K-means clustering, and weighted gene co-expression network analysis (WGCNA), the research identifies critical transcriptional modules and key regulatory genes involved in floral induction.
创建时间:
2026-01-14



