Analysis of microbial community in the littoral zone of southern lake Baikal ecosystem
Currently one of the most important problems of humanity is the contamination of natural waters by substances of anthropogenic nature, such as chemical substances and microorganisms. Analyzed the ranks of the long-term monitoring studies of bacterial strains isolated from coastal (littoral) and deep water zone (pelagic) ecosystems of lake Baikal. The analysis of the resistance of bacteria to antibiotics and the presence of enzymes endonucleases (ER). It is revealed that in conditions of intensive anthropogenic pollution of intertidal zone ecosystems of lake Baikal since 2003 there is the appearance of bacterial strains resistant to many antibiotics. Analysis of the obtained results showed that antibiotic resistance in different months during one year differs significantly from each other (P_value = 0.003 <α). Analysis of variance of the average resistance of bacteria to antibiotics during the period under review, almost did not reveal interannual differences (P_value = 0.34 <α). When calculating the pairwise correlation coefficients it was possible to divide antibiotics into three groups. The first antibiotic resistance is formed independently from each other (r ≈ 0). The second group of pairs with significant positive values of correlation coefficients (r > 0), the formation of cross-resistance. The third group is a couple of antibiotics with reliable negative values of correlation coefficients (r < 0). In bacterial communities increased resistance to one antibiotic was accompanied by decreased resistance to another. Also, long-term studies have established that a large variety of ER is found in bacterial strains isolated from the samples taken in places where there is anthropogenic influence. The analysis of the obtained data revealed that the areas of sampling differ in the number of detectable ER (1 to 7). The more in binary the distance, the more differences in the spectrum of detectable ER. The differences on binary distance reaches up to 1 (100%), this means that ER occurring at the same point selection does not occur in the samples taken in other places. There are two pairs of sampling points, where their spectra are not different. Inside each pair of these points ER was similar, but the pairs different (binary 1 -100%). The application of statistical analysis techniques allows to identify the main regularities of changes in the microbial community of the ecosystem of lake Baikal and in the future, a comprehensive approach to solving the problem of water use. © 2017, St. Petersburg State University of Architecture and Civil Engineering. All rights reserved.
Библиографическая ссылка Verkhozina E.V., Verkhozina V.A., Verkhoturov V.V., Bukin U.S., Safarov A.S. Analysis of microbial community in the littoral zone of southern lake Baikal ecosystem // Water and Ecology. Vol.2017. No.3. 2017. P.99-113. DOI: 10.23968/2305-3488.2017.21.3.99-113
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