bioRxivDevelopmental BiologyPreprint
Spatial transcriptomics of peach and nectarine elucidates the mechanism underlying fruit trichome development
Zihao ZhaoiD, Ke CaoiD, Aizhi QiniD, Zhixin LiuiD, Liping GuaniD, Susu SuniD, Hao LiuiD, Yaping ZhouiD, Jincheng YangiD, Yumeng LiuiD, Mengke HuiD, Vincent NinkuuiD, Xuwu SuniD, Lirong WangiD
Abstract
Peach (Prunus persica) is an economically significant fruit-bearing tree. The trichomes of peach fruits are essential for their growth and development by playing a protective role against abiotic stresses, such as intense ultraviolet (UV) light, high temperature, cold-induced stress, and biotic stresses, such as pests and disease infestation. However, the mechanism underlying trichome development in peach fruits is unknown. Therefore, spatial transcriptome sequencing technology was used to compare the transcriptomic information seven days after flowering (DAF) of peach and nectarine fruits at an ultra-high resolution. The results revealed significant variations in how fruits at the early development stage responded to stress exposure. Comparatively, nectarine response to stress was significantly magnified than peach. Notably, a novel trichome-related marker gene, Prupe.7G196500, was identified in peach, which showed a robust function in response to jasmonic acid and wounding. Further, the Prupe.7G196500pro::GUS construct was found to specifically expressed in the trichomes of the true leaves of 10-day-old Arabidopsis thaliana (Arabidopsis) seedlings and induced by drought treatment. Finally, gain-of-function analysis showed that Prupe.7G196500 promoted trichomes development. In conclusion, this study identified the cell types and novel marker genes associated with peach fruit. The role of Prupe.7G196500 in positively regulating trichome development was also characterized, thereby laying the foundation for analyzing the mechanism involved in trichome development in peach fruits.
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 3
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