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
Identification of copy number variations in Qinchuan cattle using BovineHD Genotyping Beadchip array
In recent years, copy number variations (CNVs), which associate with complex traits such as disease and quantitative phenotypes, are increasingly recognized as an important and abundant source of genetic variation and phenotypic diversity. CNVs have been studied in several breeds of cattle with the goal of improving selection methods for commercial use; however, little is known about the extent to which CNVs contribute to genetic variation in Qinchuan cattle. The BovineHD Genotyping BeadChip array was used for analyzing the whole genomic CNVs of Qinchuan cattle breed; we discovered 367 unique CNV events from 6 Qinchuan cattle. Accounting for overlapping regions, a total of 365 autosomal copy number variation regions (CNVRs) (131 losses and 234 gains) were identified with an average number of 60.8 CNV events per individual, which covered 13.13 Mb of the cattle genomic sequence corresponding to 0.4 % of the whole cattle genome. The average and median sizes of CNVRs were 35.07 and 18.56 kb, respectively. The CNVRs map of Qinchuan cattle was first constructed based on the BovineHD Genotyping Beadchip array. Functional analysis indicated that most genes in CNVRs that were significantly enriched are involved in environmental stress. Comparison of CNVRs in ten published studies and the 365 CNVRs identified in our study overlapped 0.7-42.7 %. These findings are the first report of CNVs mapping in Qinchuan cattle and contribute to the greater understanding of CNV genetics in commercial cattle phenotypes.
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