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.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Understanding bovine metabolism and its relationship with milk products is important in cow breeding. In the present work, the metabolic network in the mammary gland tissue of cattle was reconstructed with the available bovine genome information using several public datasets from NCBI, Uniprot, and KEGG. The network consisted of 1,743 metabolites named by KEGG compound numbers as nodes and 657 enzymes that catalyzed the corresponding reactions as edges. The characteristics of the network were analyzed. The top 20 hub metabolites were determined, and the mean path length was identified to be 6.52. Moreover, 11 key enzymes with significant changes in expression under the condition of mastitis were identified and analyzed by integrating the microarray expression data of normal and clinical mastitis. Aside from the GATM gene, 10 downregulated enzymes were detected in bovine with mastitis. In addition, many of the identified enzymes were involved in amino acid metabolisms or had a direct connection to amino acid metabolisms. These results indicate that mastitis could affect the expression of enzymes, which is vital in some amino acid metabolisms, resulting in the reduction of milk proteins. The present work provides information that may improve the understanding on bovine milk production and mastitis.
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