Coriander Genomics Database: a genomic, transcriptomic, and metabolic database for coriander

Xiaoming Song , Fulei Nie , Wei Chen , Xiao Ma , Ke Gong , Qihang Yang , Jinpeng Wang , Nan Li , Pengchuan Sun , Qiaoying Pei , Tong Yu , Jingjing Hu , Xinyu Li , Tong Wu , Shuyan Feng , Xiu-Qing Li , Xiyin Wang

Horticulture Research ›› 2020, Vol. 7 ›› Issue (1) : 55

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Horticulture Research ›› 2020, Vol. 7 ›› Issue (1) :55 DOI: 10.1038/s41438-020-0261-0
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Coriander Genomics Database: a genomic, transcriptomic, and metabolic database for coriander
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Abstract

Coriander (Coriandrum sativum L.), also known as cilantro, is a globally important vegetable and spice crop. Its genome and that of carrot are models for studying the evolution of the Apiaceae family. Here, we developed the Coriander Genomics Database (CGDB, http://cgdb.bio2db.com/) to collect, store, and integrate the genomic, transcriptomic, metabolic, functional annotation, and repeat sequence data of coriander and carrot to serve as a central online platform for Apiaceae and other related plants. Using these data sets in the CGDB, we intriguingly found that seven transcription factor (TF) families showed significantly greater numbers of members in the coriander genome than in the carrot genome. The highest ratio of the numbers of MADS TFs between coriander and carrot reached 3.15, followed by those for tubby protein (TUB) and heat shock factors. As a demonstration of CGDB applications, we identified 17 TUB family genes and conducted systematic comparative and evolutionary analyses. RNA-seq data deposited in the CGDB also suggest dose compensation effects of gene expression in coriander. CGDB allows bulk downloading, significance searches, genome browser analyses, and BLAST searches for comparisons between coriander and other plants regarding genomics, gene families, gene collinearity, gene expression, and the metabolome. A detailed user manual and contact information are also available to provide support to the scientific research community and address scientific questions. CGDB will be continuously updated, and new data will be integrated for comparative and functional genomic analysis in Apiaceae and other related plants.

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Xiaoming Song, Fulei Nie, Wei Chen, Xiao Ma, Ke Gong, Qihang Yang, Jinpeng Wang, Nan Li, Pengchuan Sun, Qiaoying Pei, Tong Yu, Jingjing Hu, Xinyu Li, Tong Wu, Shuyan Feng, Xiu-Qing Li, Xiyin Wang. Coriander Genomics Database: a genomic, transcriptomic, and metabolic database for coriander. Horticulture Research, 2020, 7 (1) : 55 DOI:10.1038/s41438-020-0261-0

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