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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A global transcriptional analysis of Megalobrama amblycephala revealing the molecular determinants of diet-induced hepatic steatosis


Blunt snout bream (Megalobrama amblycephala), a prevalent species in China's intensive polyculture systems, is highly susceptible to hepatic steatosis, resulting in considerable losses to the fish farming industry. Due to a lack of genomic resources, the molecular mechanisms of lipid metabolism in M. amblycephala are poorly understood. Here, a hepatic cDNA library was generated from equal amounts of mRNAs isolated from M. amblycephala fed normal-fat and high-fat diets. Sequencing of this library using the Illumina/Solexa platform produced approximately 51.87 million clean reads, which were assembled into 48,439 unigenes with an average length of 596 bp and an N50 value of 800 bp. These unigenes were searched against the nucleotide (NT), nonredundant (NR), Swiss-Prot, Cluster of Orthologous Groups (COG), and Kyoto Encyclopedia of Genes and Genome (KEGG) databases using the BLASTn or BLASTx algorithms (E-value <= 10(-5)).A total of 8602 unigenes and 22,155 unigenes were functionally classified into 25 COG categories and 259 KEGG pathways, respectively. Furthermore, 22,072 unigenes were grouped into 62 sub-categories belonging to three main Gene Ontology (GO) terms. Using a digital gene expression analysis and the M. amblycephala transcriptome as a reference, 477 genes (134 up-regulated and 343 down-regulated) were identified as differentially expressed in fish fed a high-fat diet versus a normal-fat diet KEGG and GO functional enrichment analyses of the differentially expressed unigenes were performed and 12 candidate genes related to lipid metabolism were identified. This study provides a global survey of hepatic transcriptome profiles and identifies candidate genes that may be related to lipid metabolism in M. amblycephala. These findings will facilitate further investigations of the mechanisms underlying hepatic steatosis in M. amblycephala. (C) 2015 Elsevier B.V. All rights reserved.

  • CN
  • Nanjing_Agr_Univ (CN)
  • CAFS_Chinese_Acad_Fishery_Sci (CN)
Data keywords
  • ontology
Agriculture keywords
  • farming
Data topic
  • big data
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • Nanjing_Agr_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.