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

Alessia Vitiello, Rosa Rao, Giandomenico Corrado, Pasquale Chiaiese, Maria Cristina Digilio, Riccardo Aiese Cigliano and Nunzio D’Agostino
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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

Data, 2018, vol. 3, issue 3, 1-10

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.

Keywords: zucchini transcriptome; biotic stress; RNA-sequencing; aphid infestation; leaves (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2018
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