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Published on: May 26, 2023
Spatial transcriptome analysis of the tea tender shoot sheds light on transcriptional regulation of characteristic
Cheng Zhang1, Chengzhe Zhou1,2, Caiyun Tian1
1Anxi College of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Abstract:
The tender shoots of tea plant [Camellia sinensis (L.) Kuntze] contain characteristic flavor metabolites such as catechins, caffeine, and theanine, which are the raw materials for making various types of high-quality tea. The gene expression profiles with spatial information for tea shoots remain unclear, which has hindered the exploration of precise regulatory mechanisms of these characteristic metabolites in different cell types. Here, we provided a high-throughput analysis of the spatial gene expression of the tea shoot, including the apical bud, young leaf, and stem. The genome-wide expression pattern was delineated into nine representative spatial coexpression clusters, and cell type identification was achieved by integrating histological structures with marker gene annotation. The dynamic differentiation processes of cells in leaf and bud were revealed through the reconstruction of pseudotemporal trajectories, uncovering the coupling relationship between spatial organization and developmental progression. Gene Ontology enrichment analysis indicated that different clusters were enriched in functional pathways such as photosynthesis, cell wall construction, substance transport, and hormone response during differentiation, demonstrating their stage-specific expression throughout development. Additionally, we found that structural genes associated with the metabolism of catechins, theanine, and caffeine exhibited distinct spatial expression patterns across various tissues. Based on functional verification, we identified that the transcription factor gene CsTCP4 could positively regulate the biosynthesis of catechins and the hydrolysis of theanine. In conclusion, the spatial transcriptome atlas provides a foundational dataset for understanding gene expression heterogeneity in tea shoots and expands our understanding of the synergistic regulation of theanine and catechin metabolism in tea.

