Background: The ticksIxodes ricinusandDermacentor reticulatusare two of the most important vectors in Europe. Climate niche modelling has been used in many studies to attempt to explain their distribution and to predict changes under a range of climate change scenarios. The aim of this study was to assess the ability of different climate niche modelling approaches to explain the known distribution ofI. ricinusandD. reticulatusin Europe.Methods: A series of climate niche models, using different combinations of input data, were constructed and assessed. Species occurrence records obtained from systematic literature searches and Global Biodiversity Information Facility data were thinned to different degrees to remove sampling spatial bias. Four sources of climate data were used: bioclimatic variables, WorldClim, TerraClimate and MODIS satellite-derived data. Eight different model training extents were examined and three modelling frameworks were used: maximum entropy, generalised additive models and random forest models. The results were validated through internal cross-validation, comparison with an external independent dataset and expert opinion.Results: The performance metrics and predictive ability of the different modelling approaches varied significantly within and between each species. Different combinations were better able to define the distribution of each of the two species. However, no single approach was considered fully able to capture the known distribution of the species. When considering the mean of the performance metrics of internal and external validation, 24 models forI. ricinusand 11 models forD. reticulatusof the 96 constructed were considered adequate according to the following criteria: area under the receiver-operating characteristic curve > 0.7; true skill statistic > 0.4; Miller’s calibration slope 0.25 above or below 1; Boyce index > 0.9; omission rate < 0.15.Conclusions: This comprehensive analysis suggests that there is no single ‘best practice’ climate modelling approach to account for the distribution of these tick species. This has important implications for attempts to predict climate-mediated impacts on future tick distribution. It is suggested here that climate variables alone are not sufficient; habitat type, host availability and anthropogenic impacts, not included in current modelling approaches, could contribute to determining tick presence or absence at the local or regional scale.Graphical

The aim of this study was to use rapid mass spectrometry (MS)-based proteomics analyses for diagnosis of Babesia canis canis infections in dogs. The study was conducted on two groups of dogs—healthy dogs and dogs infected with B. canis canis which demonstrated symptoms of babesiosis. The matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) MS technique revealed the presence of a protein fraction of 51–52 kDa in the blood serum of all the animals infected with the protozoa, which was not found in the serum of healthy dogs. The proteins are suspected to be disease markers, whereas the MALDI-TOF technique itself has high specificity and sensitivity and can be applied in analytical laboratories in the diagnosis of canine babesiosis.

The purpose of this study was to describe Anaplasma phagocytophilum infection of three cats in Poland showing signs of fever, swollen and painful joints, pale mucous membranes and epistaxis. Morulae consistent with A phagocytophilum were present within the neutrophils of two of the cats. A polymerase chain reaction (PCR) was found targeting the 16S rRNA gene amplified DNA consistent with A phagocytophilum in the blood of all three cats. The sequence of the PCR product obtained showed 99.6–100% homology with the sequence of A phagocytophilum, gene number EU 090186 from Genbank. Applied therapy (including administration of tetracyclines for 3 weeks) resulted in a gradual clinical recovery.