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
MicroRNAs (miRNAs) play a pivotal role in post-transcriptional regulation of gene expression in plants. In this study, we investigate miRNAs in an agronomically important common tobacco in China, named Honghua Dajinyuan (a drought-tolerant cultivar). Here, we report a comprehensive analysis of miRNA expression profiles in mock-treat grown (CK) and 20 % polyethylene glycol-grown (PEG-grown) tobacco roots using a high-throughput sequencing approach. A total of 656 unique miRNAs representing 53 miRNA families were identified in the two libraries, of which 286 unique miRNAs representing 162 microRNAs were differentially expressed. In addition, nine differentially expressed microRNAs selected from different expressed miRNA family with high abundance were subjected to further analysis and validated by quantitative real-time PCR (Q-PCR). In addition, the expression pattern of these identified candidate conserved miRNA and target genes of three identified miRNA (nta-miR172b, nta-miR156i, and nta-miR160a) were also validated by Q-PCR. Gene ontology (GO) enrichment analysis suggests that the putative target genes of these differentially expressed miRNAs are involved in metabolic process and response to stimulus. In particular, 25 target genes are involved in regulating plant hormone signal transduction and metabolism, indicating that these association microRNAs may play important regulatory roles in responding to PEG resistance. Moreover, this study adds a significant number of novel miRNAs to the tobacco miRNome.
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