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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Title

Characterization of the longissimus lumborum transcriptome response to adding propionate to the diet of growing Angus beef steers

en
Abstract

Baldwin RL VI, Li RW, Li CJ, Thomson JM, Bequette BJ. Characterization of the longissimus lumborum transcriptome response to adding propionate to the diet of growing angus beef steers. Physiol Genomics 44: 543-550, 2012. First published March 27, 2012; doi:10.1152/physiolgenomics.00144.2011.-Development of management paradigms that enhance the rate of gain and qualitative characteristics of beef carcass development has the potential to impact production and nutrient use efficiency but also mitigate losses to the environment. We used eight Black Angus beef steers (272.5 +/- 17.6 kg initial body wt) fed a forage-based pelleted diet alone (n = 4) or supplemented with sodium propionate included (n = 4) for 42 days. High-quality RNA was extracted from the longissimus lumborum and subjected to transcriptome sequencing using RNA-seq technology. Trimmed reads were aligned to the bovine reference genome (Btau4.0, release 63) and uniquely mapped reads from control and propionate treatment groups were subject to further analysis using edgeR. Candidates were filtered to account for multiple testing and differentially expressed genes (153 at a false discovery rate of <5%) were analyzed using Gene Ontology (GO) analysis (GOseq) to select terms where enrichment had occurred. Significant GO terms included regulation of cholesterol transport, regulation of sterol transport, and cellular modified amino acid metabolic process. Furthermore, the top four identified gene networks included lipid metabolism, small molecule biochemistry, carbohydrate metabolism, and molecular transport-related categories. Notably, changes in lipid metabolism specific genes reflect both increased oxidative and lipid synthetic capacities. Metabolism-related gene changes are reflective of expected enhancements in lean tissue accretion patterns exhibited in steers where high ruminal propionate relative to other short chain fatty acids is observed. Propionate feeding induced increased N retention in rapidly growing Angus cattle, and the observed alterations in LL tissue lipid metabolism-related gene networks are consistent with enhanced cell formation and function (protein synthesis, and lipogenic vs. lipolytic activities).

en
Year
2012
en
Country
  • US
  • CA
Organization
  • USDA_ARS_Agr_Res_Serv (US)
  • Univ_Alberta (CA)
  • Univ_Maryland_College_Pk (US)
Data keywords
  • ontology
en
Agriculture keywords
  • cattle
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Data topic
  • big data
  • information systems
  • semantics
en
SO
PHYSIOLOGICAL GENOMICS
Document type

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

Institutions 10 co-publis
  • USDA_ARS_Agr_Res_Serv (US)
  • Univ_Alberta (CA)
  • Univ_Maryland_College_Pk (US)
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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.