RESUMEN
We have sequenced the genome of Kurthia gibsonii strain Hakim RU_BHWE, isolated from sewage water. The assembled genome consists of 2.891 Mb with 58.6883× coverage, presenting an average GC content of 36.60%. This genome includes 8 CRISPR arrays, 3 prophages, 3 antibiotic resistance genes, and 12 virulence factor genes.
RESUMEN
We have revealed the genomic sequence of Acinetobacter baumannii strain Hakim RU_CBWP isolated from pond surface water. Our assembled genome covers 3.787 Mb with 45.5629× coverage, showcasing an average GC content of 38.60%. This genome contains two CRISPR arrays, 17 prophages, 22 antibiotic resistance genes, and 20 virulence factor genes.
RESUMEN
We unveil the genomic sequence of the Klebsiella pneumoniae Hakim-RU strain isolated from a patient with urinary tract infections. Our assembled genome spans 4.3 Mb with 73.0× coverage, an average GC content of 57.41%, 4 plasmids, 2 CRISPR arrays, 10 prophages, 41 antibiotic resistance genes, and 6 virulence factor genes.
RESUMEN
Symmetries in a network regulate its organization into functional clustered states. Given a generic ensemble of nodes and a desirable cluster (or group of clusters), we exploit the direct connection between the elements of the eigenvector centrality and the graph symmetries to generate a network equipped with the desired cluster(s), with such a synthetical structure being furthermore perfectly reflected in the modular organization of the network's functioning. Our results solve a relevant problem of designing a desired set of clusters and are of generic application in all cases where a desired parallel functioning needs to be blueprinted.
RESUMEN
Various systems in physics, biology, social sciences and engineering have been successfully modeled as networks of coupled dynamical systems, where the links describe pairwise interactions. This is, however, too strong a limitation, as recent studies have revealed that higher-order many-body interactions are present in social groups, ecosystems and in the human brain, and they actually affect the emergent dynamics of all these systems. Here, we introduce a general framework to study coupled dynamical systems accounting for the precise microscopic structure of their interactions at any possible order. We show that complete synchronization exists as an invariant solution, and give the necessary condition for it to be observed as a stable state. Moreover, in some relevant instances, such a necessary condition takes the form of a Master Stability Function. This generalizes the existing results valid for pairwise interactions to the case of complex systems with the most general possible architecture.
RESUMEN
In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.