Integrated Transcriptome and Metabolome Analysis of Fruit Quality Variation in ‘Sweet100’ Tomato Across Different Growth Stages
Chunxin Liu, Congmin Wang, Shuya Xie, Yue Wang, He Zhang, Dalong Li, Tingting Zhao, Xiangyang Xu

TL;DR
This study explores how tomato fruit quality changes across growth stages by analyzing gene and metabolite patterns, revealing stable and variable factors affecting flavor and quality.
Contribution
The study identifies stable and variable metabolic and transcriptional modules across growth stages, offering new insights into tomato quality formation.
Findings
192 metabolites and 5546 genes were grouped into modules showing distinct or stable trends across growth stages.
Soluble sugar levels remained stable, while total phenols and flavonoids varied significantly.
Key flavor metabolites like aspartic acid and glucose showed no significant changes in content.
Abstract
Previously, research has primarily focused on how the environment affects fruit quality, but there is a lack of studies investigating the impact of different growth stages on fruit quality. In this study, a total of 192 differentially abundant metabolites and 5546 differentially expressed genes were categorized into eight modules exhibiting distinct trends, along with an additional module that remained unchanged throughout all growth stages. These modules elucidate the primary metabolic alterations and transcriptional regulatory networks underlying quality variations in tomato fruits at the mature stage across different growth stages (Spike1–Spike3). Furthermore, an investigation was conducted on the module that remained constant throughout the growth stages. It was observed that the soluble sugar content remained stable across the different growth stages, whereas the levels of total…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsPostharvest Quality and Shelf Life Management · Plant Gene Expression Analysis · Plant Molecular Biology Research
