Institute of Agro-Bioengineering/The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in the Mountainous Region (Ministry of Education)/College of Life Sciences, Guizhou University, Guiyang 550025, China
School of Life Sciences, North China University of Science and Technology, Tangshan 063210, China
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Highlights
• The Ericaceae Genome Resource (TEGR) database was constructed based on 16 published Ericaceae genomes.
• TEGR database contains important information of various types, including functional genes, m6A modification genes, and CRISPR guide sequences.
• TEGR database contains 614,821 functional genes annotated by GO, Nr, Pfam, TrEMBL, and Swiss-Prot databases.
• TEGR database provides the Primer Design, Hmmsearch, Synteny, BLAST, and JBrowse tools for comparative genomic analyses.
Abstract
Ericaceae is a diverse family of flowering plants distributed nearly worldwide, and it includes 126 genera and more than 4,000 species. In the present study, we developed The Ericaceae Genome Resource (TEGR, http://www.tegr.com.cn) as a comprehensive, user-friendly, web-based functional genomic database that is based on 16 published genomes from 16 Ericaceae species. The TEGR database contains information on many important functional genes, including 763 auxin genes, 2,407 flowering genes, 20,432 resistance genes, 617 anthocyanin-related genes, and 470 N6-methyladenosine (m6A) modification genes. We identified a total of 599,174 specific guide sequences for CRISPR in the TEGR database. The gene duplication events, synteny analysis, and orthologous analysis of the 16 Ericaceae species were performed using the TEGR database. The TEGR database contains 614,821 functional genes annotated through the GO, Nr, Pfam, TrEMBL, and Swiss-Prot databases. The TEGR database provides the Primer Design, Hmmsearch, Synteny, BLAST, and JBrowse tools for helping users perform comprehensive comparative genome analyses. All the high-quality reference genome sequences, genomic features, gene annotations, and bioinformatics results can be downloaded from the TEGR database. In the future, we will continue to improve the TEGR database with the latest data sets when they become available and to provide a useful resource that facilitates comparative genomic studies.
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