Ginkgo DB is a multiscale comprehensive germplasm database for Ginkgo biloba having been developed since 2020. The multi-omic genetic database and occurrence database are two core components of GinkgoDB. Around them, a series of databases like growth monitoring, phenological observation, environment data, as well as photos and articals about ginkgo have been being organized and posted on our site.

GinkgoDB aims at sharing with the world the results of research on the evolutionary ecology of ginkgo and empowering the conservation of wild population of this fascinating species.

This work was supported by National Key Research and Development Program of China (No. 2017YFA0605104) and the National Natural Science Foundation of China (No. 31870190, 32071484).

Ginkgo is a famous dioecious species with distinctively shaped leaves and cones. And it is also a popular beautiful ornamental tree. Hundreds of photos for ginkgo trees, leaves or cones have been collected in Ginkgo Gallery. Our ambition is to take pictures for each old ginkgo trees recorded in our database.

In addition, photos or scanning images of some ginkgo specimens and biological materials were also be posted on the web.

We study evolutionary ecology of relict tree species using the living fossil Ginkgo biloba (maidenhair tree) as major study systems by integrating field observatory and monitoring data, multi-omic data and experimental data. The key question We have been focused on is the evolutionary causes and genetic bases underlying regulation mechanisms of population size and distribution with an emphasis on three key ecological processes, i.e., reproduction, morality and dispersal. The specific questions include response strategies to global climate change and adaptive evolution, sex chromosome evolution and sexual dimorphism, evolution of secondary metabolites, plant-microbial coupling and coevolution.

Group leader: Prof. Dr. Yun-Peng Zhao, E-mail: ypzhao@zju.edu.cn, homepage: person.zju.edu.cn/en/ypzhao
Web Designer and Developer: Chen-feng Lin, E-mail: 3170105188@zju.edu.cn
Data support: Kai-jie Gu, E-mail: gkj95@zju.edu.cn; Jun-Jie Wu, E-mail: jjwujay@zju.edu.cn

E-mail: iginkgo@zju.edu.cn

Address: 浙江省 杭州市 余杭塘路866号 浙江大学紫金港校区生命科学学院 植物系统进化与生物多样性研究室，310058
Lab of Systematic & Evolutionary Botany and Biodiversity, College of Life Science, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, P.R. China