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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Gene expression profiling of Sinapis alba leaves under drought stress and rewatering growth conditions with Illumina deep sequencing


Sinapis alba has many desirable agronomic traits including tolerance to drought. In this investigation, we performed the genome-wide transcriptional profiling of S. alba leaves under drought stress and rewatering growth conditions in an attempt to identify candidate genes involved in drought tolerance, using the Illumina deep sequencing technology. The comparative analysis revealed numerous changes in gene expression level attributable to the drought stress, which resulted in the down-regulation of 309 genes and the up-regulation of 248 genes. Gene ontology analysis revealed that the differentially expressed genes were mainly involved in cell division and catalytic and metabolic processes. Our results provide useful information for further analyses of the drought stress tolerance in Sinapis, and will facilitate molecular breeding for Brassica crop plants.

  • CN
  • CAAS_China_Acad_Agr_Sci (CN)
  • Agr_Univ_Hebei (CN)
  • Zhengzhou_Univ (CN)
Data keywords
  • ontology
Agriculture keywords
    Data topic
    • big data
    Document type

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

    Institutions 10 co-publis
    • CAAS_China_Acad_Agr_Sci (CN)
    • Agr_Univ_Hebei (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.