Transcriptome Analysis of Ginkgo biloba L. Leaves across Late Developmental Stages Based on RNA-Seq and Co-Expression Network

文献类型： 外文期刊

第一作者： Liu, Hailin

作者： Liu, Hailin;Ruan, Jue;He, Bing;Han, Xin;Xu, Lian

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关键词： leaf growth; co-expression network; annotation correction; Ginkgo biloba

期刊名称：FORESTS （ 影响因子：2.221； 五年影响因子：2.484 ）

ISSN：

年卷期： 2021 年 12 卷 3 期

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收录情况： SCI

摘要： The final size of plant leaves is strictly controlled by environmental and genetic factors, which coordinate cell expansion and cell cycle activity in space and time; however, the regulatory mechanisms of leaf growth are still poorly understood. Ginkgo biloba is a dioecious species native to China with medicinally and phylogenetically important characteristics, and its fan-shaped leaves are unique in gymnosperms, while the mechanism of G. biloba leaf development remains unclear. In this study we studied the transcriptome of G. biloba leaves at three developmental stages using high-throughput RNA-seq technology. Approximately 4167 differentially expressed genes (DEGs) were obtained, and a total of 12,137 genes were structure optimized together with 732 new genes identified. More than 50 growth-related factors and gene modules were identified based on DEG and Weighted Gene Co-expression Network Analysis. These results could remarkably expand the existing transcriptome resources of G. biloba, and provide references for subsequent analysis of ginkgo leaf development.

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