e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Transcriptome Profiling of hrf2 Transgenic Rapeseed Revealed Genes Related to the Defense Responses and Signaling Pathways


Ectopic expression of the Harpin(Xooc)-encoding gene hrf2 in rapeseed (Brassica napus L.) confers enhanced resistance to Sclerotinia sclerotiorum and improved agronomic performance. To better understand the molecular mechanisms of harpin-mediated plant responses, we developed a 3'-tag digital gene expression (DGE) method to compare the mRNA expression patterns of transgenic T-4 rapeseed harboring hrf2 and untransformed Yangyou >= (Y4) at the global level. Solexa Illumina sequencing yielded 5,645,091 and 6,007,037 clean tags, corresponding to 14,237 and 14,773 genes for Y4 and T-4, respectively. We identified 2114 differentially expressed genes (DEGs; log2 ratio. 1, false discovery rate [FDR]. 0.001) between transgenic T-4 and untransformed Y4 that assigned to seven Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and 19 Gene Ontology categories. Numerous genes related to defense responses were differentially expressed in T-4, representing categories such as hypersensitive response, defense proteins, plant cell wall components, and phenylpropanoid metabolism pathway. Furthermore, expression was largely modified in T-4 in signaling pathways including G protein, Ca2(+), ubiquitination, protein kinase, salicylic acid, jasmonic acid, abscisic acid, ethylene, and auxin hormones. We also identified numerous DEGs encoding transcription factors in T-4. This analysis shows the breadth of molecular mechanisms of harpin-mediated plant responses in genetically transformed plants. Furthermore, the DGE sequence resources identified in this study provide a platform for functional genomics studies of rapeseed.

  • CN
  • Nanjing_Agr_Univ (CN)
Data keywords
  • ontology
Agriculture keywords
    Data topic
    • big data
    • semantics
    Document type

    Inappropriate format for Document type, expected simple value but got array, please use list format

    Institutions 10 co-publis
    • Nanjing_Agr_Univ (CN)
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.