five

Integrative analysis of grapevine (Vitis vinifera L) transcriptome reveals regulatory network for Chardonnay quality formation

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP435089
下载链接
链接失效反馈
官方服务:
资源简介:
Anthocyanins, total phenols, soluble sugar and fruit shape play a significant role in determining the distinct fruit quality and customer preference. However, for the majority of fruit species, little is known about the transcriptomics and underlying regulatory networks that control the generation of overall quality during fruit growth and ripening. This study incorporated the quality-related transcriptome data from 6 ecological zones across 3 fruit development and maturity phases of Chardonnay cultivars. With the help of this dataset, we were able to build a complex regulatory network that may be used to identify important structural genes and transcription factors that control the anthocyanins, total phenols, soluble sugars and fruit shape in grapes. Overall, our findings set the groundwork to improve grape quality in addition to offering novel views on quality control during grape development and ripening. Overall design: Six ecoregions in Ningxia Province, China, were used for collecting grapevine (Vitis vinifera L. Chardonnay) at various developmental phases. The six ecological zones are HJZ, ZHYS, CC, XG, XLS and HSB. Fruits were taken out between 40 days following the early flowering period (DAP) and 120 days, which included 80 days, at various developmental phases. And named them as the enlargement period (40 DAP), the color transition period (80 DAP) and the maturity period (120 DAP). Small chunks of the fruit's flesh (without the skin or seeds) were sliced up and quickly frozen in liquid nitrogen before being kept at -80 °C for additional transcriptome study. Every experiment was broken down into three biological replicates, with 15 uniformly sized fruits in each repeat,Frozen fruit was used to extract total RNA and the Illumina HiSeq-2000 platform was used to create mRNA libraries for each sample and sequence the results.
创建时间:
2023-06-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作