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Dataset Information

Gene coexpression network analysis of fruit transcriptomes uncovers a possible mechanistically distinct class of sugar/acid ratio-associated genes in sweet orange.


ABSTRACT:

Background

The ratio of sugars to organic acids, two of the major metabolites in fleshy fruits, has been considered the most important contributor to fruit sweetness. Although accumulation of sugars and acids have been extensively studied, whether plants evolve a mechanism to maintain, sense or respond to the fruit sugar/acid ratio remains a mystery. In a prior study, we used an integrated systems biology tool to identify a group of 39 acid-associated genes from the fruit transcriptomes in four sweet orange varieties (Citrus sinensis L. Osbeck) with varying fruit acidity, Succari (acidless), Bingtang (low acid), and Newhall and Xinhui (normal acid).

Results

We reanalyzed the prior sweet orange fruit transcriptome data, leading to the identification of 72 genes highly correla

SUBMITTER: Qiao L 

PROVIDER: S-EPMC5663102 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature