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Profiling Thiol Redox Proteome Using Isotope Tagging Mass Spectrometry
Published on: March 24, 2012
Integration of multi-omics analyses highlights the secondary metabolism response of tomato fruit to low temperature
Yudong Liu1, Ning Tang2, Dongbo Lin3
1School of Agricultural Sciences, Zhengzhou University, 450001 Zhengzhou, China; Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, 401331 Chongqing, China.
Abstract:
Inappropriate low temperature storage usually leads to quality deterioration of harvested tomato fruits. In this study, we performed comparative metabolome, transcriptome, and proteome analyses to comprehensively understand the effects of low temperature on metabolic changes in tomato fruit (fresh fruit, C0d; 4 °C 8 days, C8d; 4 °C 7 days and then 25 °C 1 day, C7dS1). Large amounts of secondary metabolites (including flavonoids and phenolic acids) increased after low temperature treatment. The overlap differentially accumulated metabolites in three comparative groups (C0d vs. C8d, C0d vs. C7dS1, C8d vs. C7dS1) were mainly flavonoid metabolites. A total of 1438 differentially expressed genes identified in these three comparative groups were primarily enriched in metabolic pathways and secondary metabolites biosynthesis pathways. Similarly, proteomic analysis showed that the differentially expressed proteins were enriched in the secondary metabolites biosynthesis and phenylpropanoid biosynthesis pathways. There was a strong correlation between changes in flavonoid metabolites and the expression of chalcone synthase (SlCHS), chalcone isomerase-like (SlCHIL), and coumarate 3-hydroxylase (SlC3H), which are involved in the phenylpropanoid and flavonoid biosynthesis. Additionally, seven differentially expressed MYB transcription factors were identified; SlMYB91, SlMYB106, and SlMYB70 strongly correlated with flavonoid biosynthesis structural genes after low temperature treatment. Other genes involved in fruit ripening and quality were also affected by low temperature. The data generated in this study may unravel the transcriptional regulatory network of secondary metabolism associated with low-temperature storage and provide a solid foundation for future studies.
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