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Grapes are widely cultivated around the world and their quality has distinct regional characteristics. In this study, the qualitative characteristics of the 'Cabernet Sauvignon' grape variety in seven regions, from half-véraison to maturity, were analyzed comprehensively at physiological and transcriptional levels. The results indicated that the quality traits of 'Cabernet Sauvignon' grapes in different regions were significantly different with obvious regionality. Total phenols, anthocyanins, and titratable acids were the main factors of the regionality of berry quality, which were very sensitive to changes in the environment. It should be noted that the changes in titrating acids and total anthocyanin of berries vary greatly from half-véraison to maturity between regions. Moreover, the transcriptional analysis showed that the co-expressed genes between regions characterized the core transcriptome of berry development, while the unique genes of each region reflected the regionality of berries. The differentially expressed genes (DEGs) between half-véraison and maturity can be used to demonstrate that the environment of the regions could promote or inhibit gene expression. The functional enrichment suggested that these DEGs help to understand the interpretation of the plasticity of the quality composition of grapes according to the environment. Taken together, the information generated by this study could contribute to the development of viticultural practices aimed at making better use of native varieties for the development of wines with regional characteristics. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "Geographical location influence 'Cabernet Franc' fruit quality in Shandong province" published in Scientific Reports. The correction adds an affiliation for one of the authors and updates the funding section to include additional sources of funding. The original article has been corrected. The authors of the article are Chaoping Wang, Xueqin Chen, Yanhua Ren, Xuxian Xuan, Tariq Pervaiz, Lingfei Shangguan, and Jinggui Fang. [Extracted from the article]