Supplementary materials for "Exploring the Molecular Pathways of Coffee Flowering Time: A Comparative Analysis of the Semperflorens Mutant and Contrasting Elite Genotypes"
Year: 2026
Type: supplementary-materials
Abstract: This repository contains the comprehensive supplementary datasets and high-resolution gene expression plots supporting the manuscript: "Exploring the Molecular Pathways of Coffee Flowering Time: A Comparative Analysis of the Semperflorens Mutant and Contrasting Elite Genotypes" (submitted for publication/under revision in the Journal of Plant Growth Regulation). Project Overview This study investigates the molecular, metabolic, and physiological mechanisms governing the phenological plasticity of flowering time in Coffea arabica. By comparing the early-flowering cultivar Oeiras, the late-flowering cultivar Acauã, and the continuous-flowering Semperflorens (Sf) mutant across multiple seasonal and tissue-specific timeframes, we unravel the pathways driving synchronized vs. continuous anthesis. The work integrates primary carbohydrate profiling, ethylene production measurements, and extensive RNA-seq transcriptomic analyses to identify key regulatory networks. File Descriptions Supplementary_Data_Gene_Ontology_Analysis.zip (~200 MB): Contains the complete, raw, and filtered Gene Ontology (GO) functional enrichment analysis tables, classification categories, and term networks associated with the differentially expressed genes (DEGs) across all pairwise tissue, seasonal, and genotypic contrasts. Supplementary_Data_Expression_Barplots.zip (~44 MB): Contains high-resolution, tissue- and season-specific gene expression barplots (TPM/FPKM values with standard error/deviation) for all candidate genes discussed in the manuscript, including CaFT1 homologs, MADS-box transcription factors, and genes involved in phytohormone (auxin/ethylene) signaling and sugar metabolism. Additional Data Access The raw RNA-seq high-throughput sequencing reads have been deposited in the NCBI Sequence Read Archive (SRA) under BioProject accession number PRJNA1091177.
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W7202216083