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    Shoot transcriptome of the giant reed, Arundo donax

    Access Status
    Open access via publisher
    Authors
    Barrero, R.
    Guerrero, F.
    Moolhuijzen, Paula
    Goolsby, J.
    Tidwell, J.
    Bellgard, S.
    Bellgard, M.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Barrero, R. and Guerrero, F. and Moolhuijzen, P. and Goolsby, J. and Tidwell, J. and Bellgard, S. and Bellgard, M. 2015. Shoot transcriptome of the giant reed, Arundo donax. Data in Brief. 3: pp. 1-6.
    Source Title
    Data in Brief
    DOI
    10.1016/j.dib.2014.12.007
    School
    Centre for Crop Disease Management
    URI
    http://hdl.handle.net/20.500.11937/21415
    Collection
    • Curtin Research Publications
    Abstract

    The giant reed, Arundo donax, is a perennial grass species that has become an invasive plant in many countries. Expansive stands of A. donax have significant negative impacts on available water resources and efforts are underway to identify biological control agents against this species. The giant reed grows under adverse environmental conditions, displaying insensitivity to drought stress, flooding, heavy metals, salinity and herbaceous competition, thus hampering control programs. To establish a foundational molecular dataset, we used an llumina Hi-Seq protocol to sequence the transcriptome of actively growing shoots from an invasive genotype collected along the Rio Grande River, bordering Texas and Mexico. We report the assembly of 27,491 high confidence transcripts (=200. bp) with at least 70% coverage of known genes in other Poaceae species. Of these 13,080 (47.58%), 6165 (22.43%) and 8246 (30.0%) transcripts have sequence similarity to known, domain-containing and conserved hypothetical proteins, respectively. We also report 75,590 low confidence transcripts supported by both trans-ABBySS and Velvet-Oases de novo assembly pipelines. Within the low confidence subset of transcripts we identified partial hits to known (19,021; 25.16%), domain-containing (7093; 9.38%) and conserved hypothetical (16,647; 22.02%) proteins. Additionally 32,829 (43.43%) transcripts encode putative hypothetical proteins unique to A. donax. Functional annotation resulted in 5,550 and 6,070 transcripts with assigned Gene Ontology and KEGG pathway information, respectively. The most abundant KEGG pathways are spliceosome, ribosome, ubiquitin mediated proteolysis, plant-pathogen interaction, RNA degradation and oxidative phosphorylation metabolic pathway. Furthermore, we also found 12, 9, and 4 transcripts annotated as stress-related, heat stress, and water stress proteins, respectively. We envisage that these resources will promote and facilitate studies of the abiotic stress capabilities of this exotic plant species, which facilitates its invasive capacity.

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