The taxonomic status of two Gordonia strains, designated BEN371 and CON9^T, isolated from stable foams on activated sludge plants was the subject of a polyphasic study which also included the type strains of Gordonia species and three authenticated Gordonia amarae strains recovered from such foams. Phylogenetic analyses of 16S rRNA gene sequences showed that these isolates formed a compact cluster suggesting a well-supported lineage together with a second branch containing the G. amarae strains. A phylogenomic tree based on sequences of 92 core genes extracted from whole genome sequences of the isolates, the G. amarae strains and Gordonia type strains confirmed the assignment of the isolates and the G. amarae strains to separate but closely associated lineages. Average nucleotide index (ANI) and digital DNA–DNA hybridisation (dDDH) similarities showed that BEN371 and CON9^T belonged to the same species and had chemotaxonomic and morphological features consistent with their assignment to the genus Gordonia . The isolates and the G. amarae strains were distinguished using a range of phenotypic features and by low ANI and dDDH values of 84.2 and 27.0 %, respectively. These data supplemented with associated genome characteristics show that BEN371 and CON9^T represent a novel species of the genus Gordonia . The name proposed for members of this taxon is Gordonia pseudamarae sp. nov. with isolate CON9^T (=DSM 43602^T=JCM 35249^T) as the type strain.

With the increasing complexity of cyberthreats, it is necessary to have tools to understand the changing context in real-time. This document will present architecture and a prototype designed to model the risk of administrative domains, exemplifying the case of a country in real-time, specifically, Spain. In order to carry out this task, a modeling of the assets and threats detected by various sources of information has been carried out. All this information is stored as knowledge making use of ontologies, which enables the application of reasoning engines in order to infer new knowledge that can be used later in the following reasoning. This modeling and reasoning have been enriched with a dynamic system for managing the trust of the different sources of information and capabilities for increased reliability with the inclusion of additional threat intelligence information.