Conventional PCR primers for the detection of grapevine pathogens disseminated by propagating material

Polymerase chain reaction driven by sequence specific primers has become the most widely used diagnostic method to detect andidentify plant pathogens. The sensitive and cost-effective pathogen detection is exceptionally important in the production of propagatingmaterial. In this paper we have collected primer sequence data from the literature for the detection of the most important grapevine pathogensdisseminated by propagating stocks by conventional polymerase chain reaction. Basic protocols to obtain template nucleic acids have alsobeen briefly rewieved

Primers designed for the detection of grapevine pathogens spreading with propagating material by quantitative real-time PCR

Several grapevine pathogens are disseminated by propagating material as systemic, but latent infections. Their detection andidentification have a basic importance in the production and handling of propagating stocks. Thus several sensitive and reliable diagnosticprotocols mostly based on molecular techniques have been developed. Of these methods quantitative real-time PCR (q-PCR) has recently gotan emerging importance. Here we collected primer data for the detection and identification of grapevine pathogens which are important inthe production of propagating stocks by q-PCR. Additional novel techniques that use DNA amplification, hybridization and sequencing arealso briefly reviewed

Grape Transcriptomics and Viticulture

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