Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, Sichuan, China.
Key Laboratory of Breeding and Utilization of Kiwifruit in Sichuan Province, Sichuan Provincial Academy of Natural Resource Sciences, Chengdu, 610213, Sichuan, China.
New Phytol. 2023 Jun;238(5):2064-2079. doi: 10.1111/nph.18840. Epub 2023 Apr 4.
Kiwifruit (Actinidia chinensis) is one of the popular fruits world-wide, and its quality is mainly determined by key metabolites (sugars, flavonoids, and vitamins). Previous works on kiwifruit are mostly done via a single omics approach or involve only limited metabolites. Consequently, the dynamic metabolomes during kiwifruit development and ripening and the underlying regulatory mechanisms are poorly understood. In this study, using high-resolution metabolomic and transcriptomic analyses, we investigated kiwifruit metabolic landscapes at 11 different developmental and ripening stages and revealed a parallel classification of 515 metabolites and their co-expressed genes into 10 distinct metabolic vs gene modules (MM vs GM). Through integrative bioinformatics coupled with functional genomic assays, we constructed a global map and uncovered essential transcriptomic and transcriptional regulatory networks for all major metabolic changes that occurred throughout the kiwifruit growth cycle. Apart from known MM vs GM for metabolites such as soluble sugars, we identified novel transcription factors that regulate the accumulation of procyanidins, vitamin C, and other important metabolites. Our findings thus shed light on the kiwifruit metabolic regulatory network and provide a valuable resource for the designed improvement of kiwifruit quality.
奇异果（中华猕猴桃）是全球广受欢迎的水果之一，其品质主要取决于关键代谢物（糖、类黄酮和维生素）。先前关于奇异果的研究大多采用单一组学方法，或者只涉及有限的代谢物。因此，奇异果发育和成熟过程中的动态代谢组以及潜在的调控机制仍不清楚。在这项研究中，我们使用高分辨率代谢组学和转录组学分析，在 11 个不同的发育和成熟阶段研究了奇异果的代谢图谱，并揭示了将 515 种代谢物及其共表达基因平行分类为 10 个不同代谢物与基因模块（MM 与 GM）的方法。通过整合生物信息学和功能基因组分析，我们构建了一个全局图谱，并揭示了整个奇异果生长周期中所有主要代谢变化的关键转录组和转录调控网络。除了已知的可溶性糖等代谢物的 MM 与 GM 外，我们还鉴定出了调控原花青素、维生素 C 和其他重要代谢物积累的新型转录因子。因此，我们的研究结果阐明了奇异果的代谢调控网络，并为奇异果品质的设计改良提供了有价值的资源。
