Tea plant (Camellia sinensis) is one of the world’s most important beverage crops with essential economic and health benefits. However, the functional exploration of tea genes related to important agronomic traits, such as secondary metabolism, leaf yield, and stress resistance, is now significantly lagging, which puts an obstacle for applied genetic improvement and molecular breeding in tea plant. Here, a database of gene co-expression network for tea plant (TeaCoN) was developed to serve as a solid platform for candidate gene screening and functional exploration of important agronomical traits in tea plant.
TeaCoN is offered to the public as a freely available resource.
Use and re-distribution of the data, in whole or in part, for commercial purposes requires explicit permission of the authors.
We kindly ask users to cite the TeaCoN paper in their resulting publications as:
Rui Zhang, Yong Ma, Xiaoyi Hu, Ying Chen, Xiaolong He, Ping Wang, Qi Chen, Chi-Tang Ho, Xiaochun Wan, Youhua Zhang, and Shihua Zhang,
TeaCoN: A database of gene co-expression network for tea plant (Camellia sinensis), BMC genomics, 2020.
The research was supported by grant from the National Key Research and Development Program (2017YFD0301303), National Natural Science Foundation of China (Grant No. 31301248), and the Natural Science Foundation of Anhui Province (Grant No. 1608085MC66). Funding to pay the Open Access publication charges for this article was provided by the above grants.