Although the rise of antibiotic and multidrug resistant bacteria is one of the biggest current threats to human health, our understanding of the mechanisms involved in antibiotic resistance selection remains scarce. We performed whole genome sequencing of 21 Pseudomonas strains, previously isolated from an active submarine volcano of Greece, the Kolumbo volcano. Our goal was to identify the genetic basis of the enhanced co-tolerance to antibiotics and acidity of these Pseudomonas strains. Pangenome analysis identified 10,908 Gene Clusters (GCs). It revealed that the numbers of phage-related GCs and sigma factors, which both provide the mechanisms of adaptation to environmental stressors, were much higher in the high tolerant Pseudomonas strains compared to the rest ones. All identified GCs of these strains were associated with antimicrobial and multidrug resistance. The present study provides strong evidence that the CO2-rich seawater of the volcano associated with low pH might be a reservoir of microorganisms carrying multidrug efflux-mediated systems and pumps. We, therefore, suggest further studies of other extreme environments (or ecosystems) and their associated physicochemical parameters (or factors) in the rise of antibiotic resistance.
Discoverability of sequence data in primary data archives is proportional to the richness of contextual information associated with the data. Here, we describe an exercise in the improvement of contextual information surrounding sample records associated with metagenomics sequence reads available in the European Nucleotide Archive. We outline the annotation process and summarize findings of this effort aimed at increasing usability of publicly available environmental data. Furthermore, we emphasize the benefits of such an exercise and detail its costs. We conclude that such a third party annotation approach is expensive and has value as an element of curation, but should form only part of a more sustainable submitter-driven approach.Database URL: http://www.ebi.ac.uk/ena
Research Infrastructures (RIs) are facilities, resources and services used by scientists to perform research and support innovation. A number of EU research infrastructures [e.g. e-Science and Technology European Infrastructure for Biodiversity and Ecosystem Research (LifeWatch) European Research Iinfrastructures Consortium (ERIC); The European life-sciences Infrastructure for biological Information (ELIXIR); the European Marine Biological Resource Centre (EMBRC ERIC); the European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences (uroBioImaging ERIC)] have been building Virtual Research Environments (VREs), which include many virtual laboratories (vLabs) offering, one stop data access to scientists, high computational capacity and collaborative research platforms in support of the requirements of the digital science. This presentation gives examples on the use of the vLabs developed by LifeWatch ERIC which have subsequently been taken up as web services by other RIs. The RvLab operates on a high-performance computer cluster, and has been used in order to analyse various properties of taxon equality, with a focus on marine species. This taxonomic information on marine biota is organized and made publicly available through the World Register of Marine Species (WoRMS) that delivers more than 250,000 described valid species names. Although scientists consider an equal status (in terms of contribution to overall diversity) to each taxon used in taxonomy, biogeography, ecology and biodiversity, the question “are all taxa equal?” has never been tested at a global scale. We present evidence that this question can be addressed by applying relatedness indices (Taxonomic Distinctness) over the entire WoRMS metazoan tree. The virtual micro-CT laboratory (Micro-CT vLab), which can be used by the members of the scientific community interested in the digitisation methods and biological collections, makes the micro-CT data exploration of natural history specimens freely available over the internet. Micro-CT vLab makes it possible the online exploration and dissemination of micro-CT datasets, which are only rarely made available to the public due to their very large size and a lack of dedicated online platforms supporting the interactive manipulation of 3D data. Examples of how these vLabs can be used by other RIs are provided.
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