The family Gobiidae is the largest teleost family, consisting of more than 2,000 species in more than 200 genera. They have adapted to a wide range of habitats, inhabiting mostly marine and brackish waters. Recently invasive Ponto-Caspian gobies have caused significant changes to the structure of fish assemblage throughout the European waters. The aim of the study was to verify the possibility of identifying three species of the genus Gobiidae based on the analysis of the mitochondrial region of the cytochrome oxidase subunit 1 (COI) gene. 339 samples originated from seven countries and 17 different sites were investigated. Qualitative and quantitative assessment of the extracted DNA was conducted by measuring light absorbance and electrophoretic separation. Approximately 650-bp (base pairs) fragments were amplified from the 5' region of the mitochondrial COI with the PCR (polymerase chain reaction) reaction. Sequences of 652 bp were obtained and compared with reference sequences in the National Center for Biotechnology Information (NCBI). Based on the sequence analysis, we determined that in the analysed geographical regions, the goby preliminary identified morphologically as the round goby was represented by three species: round goby ( Neogobius melanostomus), tubenose goby ( Proterorhinus marmoratus), and monkey goby ( Neogobius fluviatilis). The latter two are newly reported for their new habitats. Genetic characterisation of such populations offers the opportunity to assess their genetic stability, which provides agencies managing the aquatic environment in EU countries with a tool for revising the legislation, including regulations relevant for updating the status of native and invasive species in European waters.

The population of vendace ( Coregonus albula L., 1758) in many European lakes, especially in Central Europe, have declined recently as a result of lake eutrophication. The aim of the study was to (i) determine many years’ changes in the volume of vendace catches and specific physicochemical parameters of water, (ii) determine correlations between particular physicochemical parameters, and (iii) indicate hydrochemical parameters which show the greatest impact on the volume of vendace catches on the example of Lake Ińsko located in the European Central Plains Ecoregion. Principal Component Analysis (PCA) was applied to indicate the most important hydrochemical variables impact on vendace fisheries. Among them, after redundancy analysis, 6 were taken into account (total nitrogen, N-NO3, N-NO2, total phosphorus, oxygen concentration, temperature). Time series analysis revealed an increasing trend in nutrients concentration in lake. Analyses showed that fish catches were mostly negatively connected to nitrogen and phosphorus concentration. Trend analysis, based on the above-mentioned parameters, can provide prediction of vendace catches for further years with the predictability at the level of around 60% accuracy. The results of this study are very crucial to the vendace fisheries and for formulating fisheries management policies in the future in the changing hydrochemical condition of lakes.