AlliumDB: a central portal for comparative and functional genomics in Allium

生物 小桶 基因组 基因组学 数据库 功能基因组学 计算生物学 基因 遗传学 转录组 植物 基因表达 计算机科学
作者
Pengtao Yang,Yuan Yu,Chao Yan,Yue Jia,Qi You,Lingling Da,A Mardan Lou,Bingsheng Lv,Zhonghua Zhang,Yue Liu
出处
期刊:Horticulture research [Nature Portfolio]
卷期号:11 (2): uhad285-uhad285 被引量:13
标识
DOI:10.1093/hr/uhad285
摘要

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 and 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 the 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.
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