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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Genome-wide transcriptome analysis of mRNAs and microRNAs in Dorset and Small Tail Han sheep to explore the regulation of fecundity


A variety of sheep species with diverse fecundities are kept as livestock and make up the global agricultural economy. A mutation in the FecB gene has been implicated to be essential and additive for ovulation rate. To uncover potential regulators of fecundity, we performed a genome-wide analysis of mRNAs and miRNAs from Dorset sheep (Dorset), Small Tail Han sheep FecB(B)FecB(B) genotype (Han BB) and Small Tail Han sheep FecB(+)FecB(+) genotype (Han ++). Here we present detailed analyses at both the mRNA and miRNA levels to aid in the identification of candidate genes that might regulate fecundity. We found differentially expressed genes between each of the groups, which are involved in various cellular activities, such as metabolic cascades, catalytic function and signal transduction. Moreover, the miRNA profiling identified specific miRNAs unique to each group of sheep, which may play a role in the controlling fecundity differences. By exploring the miRNA-regulated gene expression network in the different sheep species we can create a stronger profile for regulation of fecundity. Furthermore, quantitative real-time PCR verified the reliability of the RNA-Seq data. To our knowledge, this is the first analysis of intravariety and intervariety in any species in this area. Taken together, this genome-wide analysis of mRNAs and miRNAs in sheep will aid in the ability to identify fecundity regulators between different sheep species. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

  • CN
  • CAAS_China_Acad_Agr_Sci (CN)
Data keywords
  • knowledge
Agriculture keywords
  • agriculture
  • livestock
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)
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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.