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WGVD: an integrated web-database for wheat genome variation and selective signatures
Database: The Journal of Biological Databases and Curation ( IF 3.4 ) Pub Date : 2020-11-11 , DOI: 10.1093/database/baaa090
Jierong Wang 1 , Weiwei Fu 2 , Rui Wang 2 , Dexiang Hu 2 , Hong Cheng 2 , Jing Zhao 1 , Yu Jiang 2 , Zhensheng Kang 1
Affiliation  

Bread wheat is one of the most important crops worldwide. With the release of the complete wheat reference genome and the development of next-generation sequencing technology, a mass of genomic data from bread wheat and its progenitors has been yield and has provided genomic resources for wheat genetics research. To conveniently and effectively access and use these data, we established Wheat Genome Variation Database, an integrated web-database including genomic variations from whole-genome resequencing and exome-capture data for bread wheat and its progenitors, as well as selective signatures during the process of wheat domestication and improvement. In this version, WGVD contains 7 346 814 single nucleotide polymorphisms (SNPs) and 1 044 400 indels focusing on genic regions and upstream or downstream regions. We provide allele frequency distribution patterns of these variations for 5 ploidy wheat groups or 17 worldwide bread wheat groups, the annotation of the variant types and the genotypes of all individuals for 2 versions of bread wheat reference genome (IWGSC RefSeq v1.0 and IWGSC RefSeq v2.0). Selective footprints for Aegilops tauschii, wild emmer, domesticated emmer, bread wheat landrace and bread wheat variety are evaluated with two statistical tests (FST and Pi) based on SNPs from whole-genome resequencing data. In addition, we provide the Genome Browser to visualize the genomic variations, the selective footprints, the genotype patterns and the read coverage depth, and the alignment tool Blast to search the homologous regions between sequences. All of these features of WGVD will promote wheat functional studies and wheat breeding.

中文翻译:

WGVD:小麦基因组变异和选择性特征的综合网络数据库

面包小麦是世界上最重要的作物之一。随着小麦全参考基因组的发布和二代测序技术的发展,大量来自面包小麦及其祖先的基因组数据已经产出,为小麦遗传学研究提供了基因组资源。为了方便有效地访问和使用这些数据,我们建立了小麦基因组变异数据库,这是一个集成的网络数据库,包括来自面包小麦及其祖先的全基因组重测序和外显子组捕获数据的基因组变异,以及过程中的选择性特征小麦的驯化和改良。在此版本中,WGVD 包含 7 346 814 个单核苷酸多态性 (SNP) 和 1 044 400 个 indels,主要集中在基因区域和上游或下游区域。我们提供 5 个倍性小麦组或 17 个全球面包小麦组的这些变异的等位基因频率分布模式、变异类型的注释和所有个体的基因型,用于 2 个版本的面包小麦参考基因组(IWGSC RefSeq v1.0 和 IWGSC RefSeq v2.0)。选择性足迹基于全基因组重测序数据的 SNP,使用两种统计检验(F ST和 Pi)对Aegilops tauschii、野生二粒小麦、驯化二粒小麦、面包小麦地方品种和面包小麦品种进行评估。此外,我们提供基因组浏览器来可视化基因组变异、选择性足迹、基因型模式和读取覆盖深度,以及比对工具 Blast 来搜索序列之间的同源区域。WGVD 的所有这些特性都将促进小麦功能研究和小麦育种。
更新日期:2020-11-19
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