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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Screening candidate genes related to tenderness trait in Qinchuan cattle by genome array


In order to screen candidate genes related to tenderness trait in Qinchuan cattle, we investigated the gene expression profile of Longuissimus dorsi muscle (LDM) tissue and screened differentially expressed genes in LDM from both male and female Qinchuan cattle at 36 months of age utilising Bovine Genome Array. Significance Analysis of Microarrays (SAM) was used to identify the differentially expressed genes, Go (Gene Ontology) and pathways analysis were conducted on which by a free web-based Molecular Annotation System 2.0 (MAS 2.0). Approximately 11,000 probe sets representing 10,000 genes were detected in LDM of 36 month old Qinchuan cattle. After SAM analysis of the microarray data, 598 genes were shown to be differentially expressed. These genes were predominantly involved in cell adhesion, collagen fibril organization and synthesis, immune responses and cell-matrix adhesion. They included cell adhesion molecules (CAMs) and ECM-receptor interaction molecules. Real-time PCR was performed to validate nine of the differentially expressed genes identified by microarray. The results suggest that at the transcriptional level the residual hardness caused by connective tissues, stroma protein and muscle tissues could mainly result in tenderness differences between male and female Qinchuan cattle.

  • CN
  • NW_Agr_&_Forest_Univ (CN)
Data keywords
    Agriculture keywords
      Data topic
      • -
      Document type

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

      Institutions 10 co-publis
      • 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.