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Gramene QTL database: development, content and applications

机译：Gramene QTL数据库：开发，内容和应用

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摘要

Gramene is a comparative information resource for plants that integrates data across diverse data domains. In this article, we describe the development of a quantitative trait loci (QTL) database and illustrate how it can be used to facilitate both the forward and reverse genetics research. The QTL database contains the largest online collection of rice QTL data in the world. Using flanking markers as anchors, QTLs originally reported on individual genetic maps have been systematically aligned to the rice sequence where they can be searched as standard genomic features. Researchers can determine whether a QTL co-localizes with other QTLs detected in independent experiments and can combine data from multiple studies to improve the resolution of a QTL position. Candidate genes falling within a QTL interval can be identified and their relationship to particular phenotypes can be inferred based on functional annotations provided by ontology terms. Mutations identified in functional genomics populations and association mapping panels can be aligned with QTL regions to facilitate fine mapping and validation of gene–phenotype associations. By assembling and integrating diverse types of data and information across species and levels of biological complexity, the QTL database enhances the potential to understand and utilize QTL information in biological research.
机译：Gramene是植物的比较信息资源，它可以跨多个数据域集成数据。在本文中，我们描述了数量性状基因座（QTL）数据库的开发，并说明了如何使用它来促进正向和反向遗传学研究。 QTL数据库包含世界上最大的在线稻米QTL数据收集。使用侧翼标记作为锚点，最初在单个遗传图谱上报告的QTL已与水稻序列系统地比对，在此处可以将其作为标准基因组特征进行搜索。研究人员可以确定一个QTL是否与在独立实验中检测到的其他QTL共定位，并且可以结合来自多个研究的数据来提高QTL位置的分辨率。可以确定属于QTL间隔的候选基因，并可以根据本体术语提供的功能注释来推断它们与特定表型的关系。在功能基因组种群和关联作图面板中鉴定的突变可与QTL区域对齐，以促进精细作图和基因表型关联的验证。通过跨物种和生物复杂性级别组合和整合各种类型的数据和信息，QTL数据库增强了在生物学研究中理解和利用QTL信息的潜力。

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