Affiliation:
1. Qingdao Agricultural University Engineering Laboratory of Genetic Improvement of Horticultural Crops of Shandong Province, College of Horticulture, , Qingdao 266109, China
2. Yangzhou University Department: Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Co-Innovation Center for Modern Production Technology of Grain Crops, College of Agriculture, , Yangzhou 225009, China
3. Northwest Normal University College of Life Science, , Lanzhou, China
Abstract
Abstract
The genus Allium belongs to the botanical family Amaryllidaceae and includes economically important crops such as onion, garlic, bunching onion, and leek, used as vegetables, spices, and traditional medicines. The large sizes of Allium genomes hamper the genetic dissection of agronomically important traits and molecular breeding. With the growing accumulation of genomic, resequencing, transcriptome, and phenotypic data, the demand for an integrative Allium database is increasing. Here, we present a user-friendly database, AlliumDB ( https://allium.qau.edu.cn), as a functional genomics hub integrating public and in-house data. The database contains all currently available nuclear and organelle genomes for Allium species, with genes comprehensively annotated based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, orthology, gene families, protein families (Pfam), and non-coding RNA families (Rfam). Transcriptome and variation profiles are integrated into dynamic visualization tools. We took phenotypic photographs, we generated trait records for hundreds of Allium germplasms collected worldwide, which are included in the database. We incorporated JBrowse for the visualization of gene structures, RNA sequencing data, and variation data. Analysis tools such as basic local alignment search tool (BLAST), sequence fetch, enrichment, and motif analyses are available to explore potential gene functions. This database incorporates comprehensive Allium genotypic and phenotypic datasets. As the community assembles new genomes and generates resequencing data for Allium germplasms, the database will be improved and continuously updated with these multi-omics data and comparative genomic studies. We expect the AlliumDB database to become a key resource for the study of Allium crops.
Publisher
Oxford University Press (OUP)
Subject
Horticulture,Plant Science,Genetics,Biochemistry,Biotechnology
Cited by
2 articles.
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