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 analysis of naked carp (Gymnocypris przewalskii) provides insights into the immune-related genes in highland fish


The naked carp, Gymnocypris przewalskii, is one of the dominant aquaculture fish species in Qinghai Province, China. Its wild stocks have severely suffered from overfishing, and the farming species are vulnerable to various pathogens infections. Here we report the first immune-related tissues transcriptome of a wild naked carp using a deep sequencing approach. A total of 158,087 unigenes are generated, 2687 gill-specific gene and 3215 kidney-specific genes are identified, respectively. Gene ontology analysis shows that 51,671 unigenes are involved in three major functional categories: biological process, cellular component, and molecular function. Further analysis shows that numerous consensus sequences are homologous to known immune-related genes. Pathways mapping annotate 56,270 unigenes and identify a large number of immune-related pathways. In addition, we focus on the immune-related genes and gene family in Toll-like receptor signaling pathway involved in innate immunity, including toll-like receptors (TLRs), interferon regulatory factors (IRFs), interleukins (ILs) and tumor necrosis factors (TNFs). Eventually, we identify 5 TLRs, 4 IRFs, 3 ILs and 2 TNFs with a completed coding sequence though mining the transcriptome data. Phylogeny analysis shows these genes of naked carp are mostly close to zebrafish. Protein domain and selection pressure analyses together show that all these genes are highly conserved in gene sequence and protein domain structure with other species, and purifying selection underwent in these genes, implied functionally important features are conserved in the genes above. Intriguingly, we detect positive selection signals in naked carp TLR4, and significant divergence occurred among tested species TLR4, suggested that naked carp TLR4 function may be affected. Finally, we identify 23,867 simple sequence repeat (SSR) marks in this transcriptome. Taken together, this study not only contributes a large number of candidate genes in naked carp immunity, and also helps improve current understanding of immunogenetics basis and evolutionary history of immune related genes and gene family in highland fish species. (C) 2015 Elsevier Ltd. All rights reserved.

  • CN
  • CAS_Chinese_Acad_Sci (CN)
Data keywords
  • ontology
Agriculture keywords
  • farming
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
  • CAS_Chinese_Acad_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.