Transcriptome and resequencing analyses provide insight into differences in organic acid accumulation in two pear varieties

9Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Fruit acidity is one of the main determinants of fruit flavor and a target trait in fruit breeding. However, the genomic mechanisms governing acidity variation among different pear varieties remain poorly understood. In this study, two pear varieties with contrasting organic acid levels, ‘Dangshansuli’ (low-acidity) and ‘Amute’ (high-acidity), were selected, and a combination of transcriptome and population genomics analyses were applied to characterize their patterns of gene expression and genetic variation. Based on RNA-seq data analysis, differentially expressed genes (DEGs) involved in organic acid metabolism and accumulation were identified. Weighted correlation network analysis (WGCNA) revealed that nine candidate TCA (tricarboxylic acid)-related DEGs and three acid transporter-related DEGs were located in three key modules. The regulatory networks of the above candidate genes were also predicted. By integrating pear resequencing data, two domestication-related genes were found to be upregulated in ‘Amute’, and this trend was further validated for other pear varieties with high levels of organic acid, suggesting distinct selective sweeps during pear dissemination and domestication. Collectively, this study provides insight into organic acid differences related to expression divergence and domestication in two pear varieties, pinpointing several candidate genes for the genetic manipulation of acidity in pears.

Cite

CITATION STYLE

APA

Li, Q., Qiao, X., Jia, L., Zhang, Y., & Zhang, S. (2021). Transcriptome and resequencing analyses provide insight into differences in organic acid accumulation in two pear varieties. International Journal of Molecular Sciences, 22(17). https://doi.org/10.3390/ijms22179622

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free