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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Single Base-Resolution Methylome of the Dizygotic Sheep


Sheep is an important livestock in the world for meat, dairy and wool production. The third version of sheep reference genome has been recently assembled, but sheep DNA methylome has not been profiled yet. In this study, we report the comprehensive sheep methylome with 94.38% cytosine coverage at single base resolution by sequencing DNA samples from Longissimus dorsi of dizygotic Sunit sheep, which were bred in different habitats. We also compared methylomes between the twin sheep. DNA methylation status at genome-scale differentially methylated regions (DMRs), functional genomic regions and 248 DMR-containing genes were identified between the twin sheep. Gene ontology (GO) and KEGG annotations of these genes were performed to discover computationally predicted function. Lipid metabolism, sexual maturity and tumor-associated categories were observed to significantly enrich DMR-containing genes. These findings could be used to illustrate the relationship between phenotypic variations and gene methylation patterns.

  • CN
  • CAS_Chinese_Acad_Sci (CN)
  • NW_Agr_&_Forest_Univ (CN)
  • Kunming_Univ_Sci_&_Technol (CN)
  • Yunnan_Agr_Univ (CN)
  • Inner_Mongolia_Agr_Univ (CN)
Data keywords
  • ontology
Agriculture keywords
  • livestock
Data topic
  • big data
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • CAS_Chinese_Acad_Sci (CN)
  • NW_Agr_&_Forest_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.