We characterized the ST2 strain of Serratia fonticola isolated from drinking water of a capping spring on Mt. Vlasina. The ST2 strain isolated from bottled water showed the characteristics of Enterobacteriaceae family but not of the Serratia genus. S. fonticola belongs to a group of opportunistic pathogens and can cause illness in people with weak or damaged immune systems. A biochemical characterization of the strain was made by using the identification system API (bioMèrieux®). Molecular characterization was done by PCR amplification of 16S rDNA gene using the thermal cycling sequencing method and by sequencing. By comparing the obtained 1016 nucleotide sequence with the NCBI collection of all deposited sequences for 16S rDNK, and by using the BLAST search service, the highest identity (98% uniformity) was obtained with the S. fonticola strain, designated as LMG 7882 (gi|15054669|gb|AF286869.1). The identity of 16S rDNA between the referent strain and ST2 is not absolute, indicating an autochthonous origin of strain ST2

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Pseudomonas putida belongs to a group of opportunistic pathogens that can cause disease in people with weakened or damaged immune systems. Some strains have medical significance, and for most ingestion is not the primary route of infection. If water used by predisposed subjects is contaminated by P. putida, they may become ill. The aim of this work was the biochemical and molecular characterization of strain ST3 of P. putida isolated from non-carbonated bottled drinking water from Jakov Do 4 on Mt. Vlasina. Characterization of P. putida was performed to assess the risk to human health of the indigenous strains present in the water. Biochemical characterization of strains was performed using the manual identification system ID 32 GN (BioM?rieux). Identification was obtained using the database identification software ATB System (Bio-M?rieux). Molecular characterization was performed by PCR amplification and 16S rDNA ?thermal cycling sequencing?. Biochemical identification of the strain ST3 was accurate (Id = 99.8%). Comparing the sequences obtained for strain ST3 with NCBI gene bank sequences for 16S rRNA, the highest similarity of our strain (96% identity) with a strain of P. putida, designated as biotype A (gi|18076625|emb|AJ308311.1|.PPU308311) isolated in New Zealand, was obtained. While comparison with the NCBI collection of all deposited sequences showed that the 16S rRNA gene sequence of strain ST3 has very high homology, it is not identical, indicating indirectly that strain ST3 is an indigenous strain. <br><br><font color="red"><b> This article has been corrected. Link to the correction <u><a href="http://dx.doi.org/10.2298/ABS151023125E">10.2298/ABS151023125E</a><u></b></font>

Computational methods are, among other things, widely used in operational research. Operational research is a complex interdisciplinary field that deals with the problems of decision-making in real conditions, considering all the factors that affect the problem directly or indirectly, in order to find the best, i.e. optimal solution. As there is a growing need for continuous process improvement, there is a growing presence of operational research methods for various real-life problems. The transportation problem is one of the segments of research within operational research. It aims to determine the optimal program of distribution of a certain type of commodity from sources (points of origin) to destinations. The sources are the places where the commodity leaves (the warehouse), while the destinations are the ending points to which the commodity should be transported (in our case -the store). As a criterion for optimizing the transportation of goods, the request for minimizing the total transportation costs is most often taken. In the case of transportation problem, the objective function expresses the total transportation costs, while the limiting conditions are determined by the supply of individual sources (warehouses), i.e. the demand of individual destinations (stores). This paper discusses the possibility of applying operational research methods in the service sector. The aim of the research part of the paper is to find the optimal solution for real data of a given problem, simulating different conditions and constraints. An experimental analysis was performed for the problem of warehouse operations, and the goal was to minimize the costs of transporting goods. Two different methods were applied in order to determine the optimal solution. Based on the obtained results and their analysis, conclusions were made as to whether the problem was solved.

Bioinformatics is the application of information technology in biology and includes the processes of gathering, processing and analysing experimental results. Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques, and theory to solve formal and practical problems arising from the management and analysis of biological data. Computers are necessary in microbiology because the manual comparison of multiple sequences has become unpractical. The research subject was the characterisation of the strain ST51 isolated from the thermal water well in Vranjska Banja, south eastern Serbia. Molecular characterisation of these three strains was performed by analysis of the tuf gene, which encodes the elongation factor Tu. The DNA sequences were compared to those deposited in GenBank. data bases using the BLAST program (https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastn). The biochemical characterisation was performed using the API 50 CHB system (bioMerieux) and APIWEB TM software Ver. 4.1. The molecular characterisation of the strain ST51 proved the highest level of similarity to the strain Bacillus licheniformis marked as ATCC 14580 (99% identical). The biochemical characterization confirmed that the strain ST51 belongs to the species Bacillus licheniformis.Given that all the conducted analyses yielded a substantial number of data, they were processed and compared using biostatistics methods and tools in order to achieve the highest probability of resulted taxonomic classification. Modern research contributes to the analysis of a significant number of variables which is why considerably more statistical analyses are involved in their interpretation and presentation. Our results indicate that different methods are needed for proper determination and characterisation of isolates/strains. Regarding taxonomy, molecular methods are the most precise, while for physiological specificity biochemical methods are more reliable.