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Infections caused by methicillin-resistant Staphylococcus aureus (MRSA) have been a growing problem in human medicine since the 1960s, and more recently in veterinary medicine with the appearance of livestock-associated MRSA (LA-MRSA). Nevertheless, information about the presence of MRSA in rabbits is quite scarce since only one LA-MRSA identification has been previously reported. The present study aimed to determine genotypic characterization by verifying the presence of resistance determinants, virulence, and toxin genes of different S. aureus strains that cause lesions in rabbits, and their phenotypic traits based on the antimicrobial susceptibility profile. The analysis of 240 S. aureus isolates obtained from different lesion types collected from 89 Spanish and Portuguese rabbit commercial farms in the last 4 years (2014-2017) was performed. The methicillin-resistant gene mecA was found in 11.25% of the studied isolates (27 of 240) from 19 farms (13 Spanish and 6 Portuguese). Staphylococcal cassette chromosome mec (SCCmec) typing predominantly revealed type III (n = 15). Additionally, three MRSA isolates carrying the mecC gen were detected in samples from three different farms (two Spanish and one Portuguese). None of the 30 MRSA isolates was PVL-positive or tst-positive. After the multilocus sequence typing (MLST) procedure, 16 belonged to ST2855, 6 to ST146, 6 to ST398, and 2 ST4774. No ST121 isolate was mec-positive. ST398 and ST4774 isolates lacked the immuneevasion-cluster (IEC) genes. ST2855 strains were associated with the presence only of the sak gene, and ST146 isolates were ascribed to IEC type E. Therefore, this is the first description of LA-MRSA from rabbits belonging to ST2855. Interestingly, one ST2855 and two ST4774 isolates were mecC-positive, which could act as a mecCMRSA reservoir. More studies are needed to further characterize these isolates and their relationship with humans and other animal species. [ABSTRACT FROM AUTHOR]

Q–Str2–Models is an opensource application developed in Python (PyQGIS) and integrated into QGIS that provides us with several tools for creating Stress–Strain models in geodynamically active areas, from the calculation of the horizontal velocities of many points from a temporal or permanent GNSS network. This software generates the results of the maximum geodetic deformation, shear deformation, rotation and dilatation of the points, which are later translated into graphic products; heatmaps, displacement vectors and Stress–Strain tensors. In this article we show the results of the application of Q–Str2–Models for the analysis of 65 GNSS stations of SPINA (South of the Iberian Peninsula and North Africa) network to know the geodynamic behavior of the Andalusian region and its surroundings. • The Q–Str2–Models software helps us to obtain various geodynamic parameters of a point from its horizontal velocities. • This software generates geodynamic deformation models using various interpolation methods. • It is an opensource application for QGIS that can be modified according to the user's needs. • It allows us to know the Stress–Strain tensors of a geodynamically active area. • It is a tool that helps to mitigate possible risks in the face of geological phenomena. [ABSTRACT FROM AUTHOR]