Virtual Tracing of DFR mRNA and Protein Variabilities Trace the Ancestral Origin of Vitis vinifera Grapevine Cultivars Across Geographic Regions
Year: 2025
Type: article
Abstract: Various grape cultivars are genetically diverse with challenging genetic variations. However, traditional markers such as SSR and SNP in identifying genetic polymorphism between cultivars are less sensitive for detecting variability between grape plant cultivars. This study aimed to determine the DFR mRNA phylogenetic, protein heatmap, mRNA SNPs, and haplotype network of Vitis vinifera grape cultivars by in silico analysis. DFR mRNA and protein databases of grape cultivars Vitis vinifera and Vitis bellula as outgroups were collected from the NCBI database nuccore. The DFR nucleotide sequences were aligned using the ClustalW method in MEGA-X with default parameters. Heatmaps and SNPs were analyzed by calculating p distances to all taxa aligned on MEGA-X and aligned sequences of Vitis vinifera DFR were analysed with DNASP6 to identify haplotype distribution among cultivars. Based on full-length DFR mRNA sequences, Lambrusco f.f. from Italy followed by three cultivars from France as the initial lineage of the DFR is the most likely ancestor of grapevines, besides Sylvestris as a known grapevine wild-type. The DFR mRNA heat map of sixteen Vitis cultivars shows genetic variants of Lambrusco f.f. from Italy and V. bellula from China which are differences in their respective SNPs. The haplotypes of these two cultivars have adaptive properties that affect trait variation and organism fitness as genetic markers of the genetic diversity of Vitis species. This finding highlighted that Vitis vinifera DFR mRNA and protein sequence variability is highly influenced by gene recombinants, mutations, and environmental factors across plant breeding sites and geographic regions.
DOI: 10.22146/jtbb.16398
Authors: Fatchiyah Fatchiyah, Achmad Hanif Naufal, Cicin Vinolia Alvionita, Eko Suyanto
Institution: University of Brawijaya
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $150
OpenAlex ID: W4414522732