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  • 标题:ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era
  • 本地全文:下载
  • 作者:Songtao Gui ; Linfeng Yang ; Jianbo Li
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2020
  • 卷号:23
  • 期号:6
  • 页码:1-32
  • DOI:10.1016/j.isci.2020.101241
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryAs one of the most extensively cultivated crops, maize (Zea maysL.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize and its wild relative, teosinte. Integration of this information has the potential to accelerate genetic research and generate improvements in maize agronomic traits. To this end, we constructed ZEAMAP, a comprehensive database incorporating multiple reference genomes, annotations, comparative genomics, transcriptomes, open chromatin regions, chromatin interactions, high-quality genetic variants, phenotypes, metabolomics, genetic maps, genetic mapping loci, population structures, and populational DNA methylation signals within maize inbred lines. ZEAMAP is user friendly, with the ability to interactively integrate, visualize, and cross-reference multiple different omics datasets.Graphical AbstractDisplay OmittedHighlights•Functional annotations and comparative genomics of maize and teosinte genomes•Multi-omics data generated from the same maize inbred lines panel•Interactive tools to query, cross-refer, and visualize the omics dataPlant Genetics; Bioinformatics; Plant Bioinformatics; Plant Biology
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