The Ecological Estimation of Sredniy Kaban Lake Based on Molecular Methods
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2018-09-27 https://doi.org/10.14419/ijet.v7i4.7.20521 -
bioindication, saprobity, DNA-barcoding, next-generation sequencing.. -
Abstract
Sredniy Kaban lake is part of the system of Kaban urban lakes, experiencing anthropogenic load, and being currently used for sporting events in rowing. Monitoring of the reservoir is carried out regularly with restoration and improvement activities, and green beaches landscaped. Assessment of the ecological state of the reservoir and the surrounding environment is carried out by different methods, one of the main is bioindication. The method is based on the study of indicator species, identified by obsolete methods based on their morphological features. As an alternative to the visual approach with the use of a microscope, the paper considers a method for identifying hydrobionts by the CO1 marker gene based on the DNA-barcoding method and modern sequencing methods. The sequenced sequences of the fragment of the CO1 hydrobiont gene of freshwater Sredniy Kaban lake in the autumn (2016) and summer (2017) sampling periods in the fastq format are included in the international database on the NCBI’s website with unique numbers SRR5852708 (2016) and SRR5839796 (2017). The paper presents the results of the analysis and gives an assessment of the water quality of Sredniy Kaban lake (Kazan, Russia). Comparative analysis of metagenomic data shows that most of the animals of Sredniy Kaban lake are grouped near the b-mesosaprobic zone in 2016, and o-saprobic zone in 2017. By water quality Sredniy Kaban lake is transitional from b-o-saprobic to b-a-mesosaprobic as of the results of 2016, and according to the results of 2017 - from b-o-saprobic to o-saprobic, which is due to the restoration activities carried out during this period on Sredniy Kaban lake.
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References
[1] V.V. Kurilenko, O.V. Zaitseva, E.A. Novikova, N.G. Osmolovskaia, M.D. Ufimtseva, "Fundamentals of ecology, bioindication and biotesting of aquatic ecosystems", p.448, 2003.
[2] Jana Arturovna KLAAS, Thomas Arturovich KLAAS Econometric Model of Early Diagnosis of a Credit Institution Bankruptcy Risk, Astra Salvensis, Supplement No. 2/2017, p. 107.
[3] Gulnaz Mavletzyanovna GALEEVA, Olga Aleksandrovna AKTASHEVA Forecasting the Dynamics of Foreign Direct Investment in the Russian Economy, Astra Salvensis, Supplement No. 2/2017, p. 137
[4] P.Hebert, S.Ratnasingham, J.R.deWaard, «Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species», Proc Roy Soc Lond B, vol. 270, pp. 96– 99, 2003.
[5] 1 Shatilova L.M., Borisova V.V., Kasatkina O.A. (2018). Representation of the linguistic and cultural concept “lie†in the French and Russian language picture of the world, 34(85), Pp. 194-212.
[6] 2 Bakhyt S., Kalimbetov B., Khabibullayev Z. (2018). Possibilities of Mathematical Problems in Logical Thinking, Development of Secondary Education Pupils, 34(85), P.p. 321-338.L.L.Frolova, A.M.Husainov, «Identification of indicator species of zooplankton organisms by COI gene fragment for estimation of ecological state of a water body», International Journal of Pharmacy & Technology, vol. 8, № 4, pp. 24477-24486, 2016.
[7] A.M. Khusainov, L.L. Frolova, A.E. Sverdrup, “Identification of correlation between saprobity and the mitochondrial CO1 protein of indicator rotifers on the basis of molecular phylogeny", Bulletin of Technological University, V.21, No.2. pp. 228-233, 2018.
[8] “Methodological recommendations for collecting and processing materials in hydrobiological studies in freshwater. Zooplankton and its productsâ€, ZIN AN USSR, p.33, 1982.
[9] V.Sladechek, «System of water quality from the biological point of view», Arch. Hydrobiol. Ergeb. Limnol, pp. 179-191, 1973.
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How to Cite
Khusainov, M., & L.Frolova, L. (2018). The Ecological Estimation of Sredniy Kaban Lake Based on Molecular Methods. International Journal of Engineering & Technology, 7(4.7), 88-90. https://doi.org/10.14419/ijet.v7i4.7.20521Received date: 2018-09-29
Accepted date: 2018-09-29
Published date: 2018-09-27