Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466, Stadt Seeland, Germany.
SGS Institut Fresenius GmbH, TraitGenetics Section, Am Schwabeplan 1b, 06466, Stadt Seeland OT Gatersleben, Germany.
Sci Data. 2022 Sep 2;9(1):538. doi: 10.1038/s41597-022-01651-5.
In plant sciences, curation and availability of interoperable phenotypic and genomic data is still in its infancy and represents an obstacle to rapid scientific discoveries in this field. To that end, supplementing the efforts being made to generate open access wheat genome, pan wheat genome and other bioinformatic resources, we present the GABI-WHEAT panel of elite European cultivars comprising 358 winter and 14 summer wheat varieties released between 1975 to 2007. The panel has been genotyped with SNP arrays of increasing density to investigate several important agronomic, quality and disease resistance traits. The robustness of investigated traits and interoperability of genomic and phenotypic data was assessed in the current publication with the aim to transform this panel into a public data resource for future genetic research in wheat. Consecutively, the phenotypic data was formatted to comply with FAIR principles and linked to online databases to substantiate panel origin information and quality. Thus, we were able to make a valuable resource available for plant science in a sustainable way.
在植物科学领域,可互操作的表型和基因组数据的整理和可用性仍处于起步阶段,这是该领域快速科学发现的障碍。为此,除了努力生成开放获取的小麦基因组、泛小麦基因组和其他生物信息学资源外,我们还展示了由 358 个冬小麦和 14 个春小麦品种组成的 GABI-WHEAT 欧洲优秀品种组,这些品种是在 1975 年至 2007 年间发布的。该组已经使用 SNP 芯片进行了不同密度的基因型分析,以研究几个重要的农艺、品质和抗病性特征。本研究评估了所研究特征的稳健性和基因组与表型数据的可互操作性,目的是将该组转化为未来小麦遗传研究的公共数据资源。随后,对表型数据进行了格式化处理,以符合 FAIR 原则,并与在线数据库进行了链接,以证实组的来源信息和质量。因此,我们能够以可持续的方式为植物科学提供有价值的资源。