ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era

• Main Authors: Songtao Gui, Linfeng Yang, Jianbo Li, Jingyun Luo, Xiaokai Xu, Jianyu Yuan, Lu Chen, Wenqiang Li, Xin Yang, Shenshen Wu, Shuyan Li, Yuebin Wang, Yabing Zhu, Qiang Gao, Ning Yang, Jianbing Yan
• Format: Article
• Language: English
• Published: Elsevier 2020-06-01
• Series: iScience
• Subjects: Plant Genetics; Bioinformatics; Plant Bioinformatics; Plant Biology
• Online Access: http://www.sciencedirect.com/science/article/pii/S2589004220304260

Summary: As one of the most extensively cultivated crops, maize (Zea mays L.) 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.