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De Novo Transcriptome Assembly of Cucurbita Pepo L. Leaf Tissue Infested by Aphis Gossypii

Author

Listed:
  • Alessia Vitiello

    (Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy)

  • Rosa Rao

    (Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy)

  • Giandomenico Corrado

    (Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy)

  • Pasquale Chiaiese

    (Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy)

  • Maria Cristina Digilio

    (Department of Agricultural Sciences, University of Naples Federico II, Via Università 100, 80055 Portici, Italy)

  • Riccardo Aiese Cigliano

    (Sequentia Biotech SL, Campus UAB, Av. de Can Domènech s/n, 08193 Bellaterra, Barcelona, Spain)

  • Nunzio D’Agostino

    (CREA Research Centre for Vegetable and Ornamental Crops, via dei Cavalleggeri 25, 84098 Pontecagnano Faiano, Italy)

Abstract

Zucchini ( Cucurbita pepo L.), extensively cultivated in temperate areas, belongs to the Cucurbitaceae family and it is a species with great economic value. One major threat related to zucchini cultivation is the damage imposed by the cotton/melon aphid Aphis gossypii Glover (Homoptera: Aphididae). We performed RNA-sequencing on cultivar “San Pasquale” leaves, uninfested and infested by A. gossypii , that were collected at three time points (24, 48, and 96 h post infestation). Then, we combined all high-quality reads for de novo assembly of the transcriptome. This resource was primarily established to be used as a reference for gene expression studies in order to investigate the transcriptome reprogramming of zucchini plants following aphid infestation. In addition, raw reads will be valuable for new experiments based on the latest bioinformatic tools and analytical approaches. The assembled transcripts will serve as an important reference for sequence-based studies and for primer design. Both datasets can be used to support/improve the prediction of protein-coding genes in the zucchini genome, which has been recently released into the public domain.

Suggested Citation

  • Alessia Vitiello & Rosa Rao & Giandomenico Corrado & Pasquale Chiaiese & Maria Cristina Digilio & Riccardo Aiese Cigliano & Nunzio D’Agostino, 2018. "De Novo Transcriptome Assembly of Cucurbita Pepo L. Leaf Tissue Infested by Aphis Gossypii," Data, MDPI, vol. 3(3), pages 1-10, September.
  • Handle: RePEc:gam:jdataj:v:3:y:2018:i:3:p:36-:d:170158
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