Navarro-Payá David, Santiago Antonio, Orduña Luis, Zhang Chen, Amato Alessandra, D'Inca Erica, Fattorini Chiara, Pezzotti Mario, Tornielli Giovanni Battista, Zenoni Sara, Rustenholz Camille, Matus José Tomás
Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
Department of Biotechnology, University of Verona, Verona, Italy.
Front Plant Sci. 2022 Jan 17;12:803977. doi: 10.3389/fpls.2021.803977. eCollection 2021.
Effective crop improvement, whether through selective breeding or biotech strategies, is largely dependent on the cumulative knowledge of a species' pangenome and its containing genes. Acquiring this knowledge is specially challenging in grapevine, one of the oldest fruit crops grown worldwide, which is known to have more than 30,000 genes. Well-established research communities studying model organisms have created and maintained, through public and private funds, a diverse range of online tools and databases serving as repositories of genomes and gene function data. The lack of such resources for the non-model, but economically important, species has driven the need for a standardised collection of genes within the grapevine community. In an effort led by the Integrape COST Action CA17111, we have recently developed the first grape gene reference catalogue, where genes are ascribed to functional data, including their accession identifiers from different genome-annotation versions (https://integrape.eu/resources/genes-genomes/). We present and discuss this gene repository together with a validation-level scheme based on varied supporting evidence found in current literature. The catalogue structure and online submission form provided permits community curation. Finally, we present the Gene Cards tool, developed within the Vitis Visualization (VitViz) platform, to visualize the data collected in the catalogue and link gene function with tissue-specific expression derived from public transcriptomic data. This perspective article aims to present these resources to the community as well as highlight their potential use, in particular for plant-breeding applications.
有效的作物改良,无论是通过选择性育种还是生物技术策略,在很大程度上都依赖于对一个物种的泛基因组及其所含基因的累积知识。在葡萄(全球种植历史最悠久的水果作物之一,已知拥有超过30,000个基因)中获取这些知识特别具有挑战性。研究模式生物的成熟研究群体通过公共和私人资金创建并维护了各种各样的在线工具和数据库,作为基因组和基因功能数据的储存库。对于非模式但具有经济重要性的物种而言,缺乏此类资源促使葡萄种植群体需要对基因进行标准化收集。在Integrape COST行动CA17111牵头的一项工作中,我们最近开发了首个葡萄基因参考目录,其中的基因被赋予了功能数据,包括来自不同基因组注释版本的登录标识符(https://integrape.eu/resources/genes-genomes/)。我们展示并讨论这个基因库以及基于当前文献中发现的各种支持证据的验证级别方案。所提供的目录结构和在线提交表单允许群体管理。最后,我们展示了在葡萄可视化(VitViz)平台内开发的基因卡片工具,以可视化目录中收集的数据,并将基因功能与源自公共转录组数据的组织特异性表达联系起来。这篇观点文章旨在向群体展示这些资源,并突出它们的潜在用途,特别是在植物育种应用方面。