Unveiling the architecture variability of coding regions in Prunus persica: Identification and characterization of key gene families impacting plant development

This study aimed to investigate gene families related Prunus persica (peach) and their evolutionary relationships. Gene identification sequence alignment methods were used characterize Homeobox, MADS-box, NAC, Receptor-kinase-like families. expression data analysis was conducted assess activity regulatory mechanisms in peach plant development. involved a local BLASTp using protein sequences from Arabidopsis thaliana as queries against the proteome. Multiple phylogenetic tree construction performed ClustalW iToL, respectively. utilized GEO2R online tool focused on two datasets, GSE71561 GSE71460. revealed 593 genes total, with varying counts lengths among different Phylogenetic demonstrated distinct clusters within each family. Protein-protein interaction showed significant interconnectivity Homeobox transcription factors, while MADS-box NAC displayed lower connectivity. Enrichment highlighted developmental processes associated these provided insights into fruit development, ripening, postharvest changes, revealing differential patterns mechanisms. provides valuable persica, relationships, The identified functional characteristics contribute better understanding of development phenotypes. Further research is required elucidate implications variations interactions studied system