13 research outputs found

    Status and prospects of systems biology in grapevine research

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    The cultivated grapevine, Vitis vinifera L., has gathered a vast amount of omics data throughout the last two decades, driving the imperative use of computational resources for its analysis and integration. Molecular systems biology arises from this need allowing to model and predict the emergence of phenotypes or responses in biological systems. Beyond single omics networks, integrative approaches associate the molecular components of an organism and combine them into higher order networks to model dynamic behaviors. Application of network-based methods in multi-omics data is providing additional resources to address important questions regarding grapevine fruit quality and composition. Here, we review the recent history of systems biology in this species. We highlight the most relevant aspects of the discipline and describe important integrative studies that have helped in the global understanding of how this species responds to the environment and how it triggers the fruit ripening developmental program. We also highlight the latest resources that are available for the grapevine community to exploit and take advantage of all the omics data that is being generated.This work was supported by Grant PGC2018-099449-A-I00 and by the Ramón y Cajal program grant RYC-2017-23645, both awarded to J.T.M. from the Ministerio de Ciencia, Innovación y Universidades (MCIU, Spain), Agencia Estatal de Investigación (AEI, Spain), and Fondo Europeo de Desarrollo Regional (FEDER, European Union).Peer reviewe

    Grape Transcriptomics and Viticulture

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    A major goal of viticulture is to exert control over ripening and produce fruit of reproducible yield and quality. This implies developing effective viticultural practices, breeding cultivars with improved characteristics, and requires considering the numerous variables that can influence development and ripening, like cultivar-specific traits, regional climate, and stresses. Molecular tools aid these efforts. Among them, transcriptome measurements that capture expression across the genome allow monitoring which genomic features are transcribed given the aforementioned variables. The technologies used to study the transcriptome have rapidly improved and become less expensive since the early 2000s, increasing the feasibility of developing molecular marker-driven practices. This chapter briefly reviews the history and state of transcriptomic technologies since they have been applied to grapevine, reviews the seminal publications that have used these tools, and proposes a direction for this field in the future
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