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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Transcription factor profile analysis of the Antarctic vascular plant Deschampsia antarctica Desv. (Poaceae)


Transcription factors (TFs), which control gene expression through sequence-specific interactions with cis-elements of downstream gene promoters, play an important role in developmental processes and in response to environmental stress. To explore the molecular mechanism behind stress signaling and the development of Antarctic hairgrass (Deschampsia antarctica Desv.), a terrestrial plant that has successfully adapted to the Antarctic climate, we analyzed the D. antarctica EST database and constructed a TF profile based on sequence homology searches with other plant TFs to identify 1,083 transcripts encoding TFs categorized into 53 TF families. The gene ontology distribution of TF-encoding transcripts and lineage-specific expansion/contraction of TF families were analyzed. In addition, we identified a group of putative abiotic stress-induced TFs by comparing EST libraries generated under different abiotic conditions and validated the results using quantitative real-time PCR. Since plant TFs are primary targets for genetic engineering and the development of stress-tolerant crops, these results could be a useful resource for agricultural applications.

  • KR
  • KOPRI_Korea_Polar_Res_Inst (KR)
Data keywords
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
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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.