Eutrophication process is a serious problem in water ecosystems. There is a great need to study the relation between the physico-chemical condition of water and the influence of these parameters on the diversity of biological life, especially on changes in the structure of microbiocenoses. The most interesting are bacteria and microalgae, due to the important roles they play in maintaining the balance of the aquatic environment. In this study, biodiversity analysis of eukaryotic microalgae and bacteria in two artificial water ecosystems - fish farming ponds - was performed. Aquaculture was based on IMTA technology, in which every part of the trophic chain plays a significant role in maintaining the balance in the ecosystems. Experimental intensive - extensive systems differed in terms of nutrient loads, ponds were characterized by high loads of organic and inorganic nitrogen and phosphorus. During the experimental period, the physicochemical conditions, quantitative genotypic structure of the two biocenoses being studied and the relation between these factors were monitored and investigated. For the biodiversity analysis, the PCR - DGGE technique was used. The results of preliminary research showed that there is a correlation between nutrient loads, diversity expressed in the Shannon-Wiener Index and the overall condition of experimental systems. Higher loadings of nutrient promote the development of bacteria and microalgae without any influence on the balance in the artificial ecosystem being tested.
If the inline PDF is not rendering correctly, you can download the PDF file here.
 Lürling M van Oosterhout F. Controlling eutrophication by combined bloom precipitation and sediment phosphorus inactivation. Water Res. 2013;47:6527-6537. DOI: 10.1016/j.watres.2013.08.019.
 Cole JJ Findlay S Pace ML. Bacterial production in fresh and saltwater ecosystems: a cross-system overview. Mar Ecol Prog Ser. 1988;43:1-10.
 Cho BC Azam F. Biogeochemical significance of bacterial biomass in the ocean’s euphotic zone. Mar Ecol Prog Ser. 1990;63:253-259.
 Muyzer G Smalla K. Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) in microbial ecology. Anton Leeuw Int J G. 1998;73(1):127-141.
 Casamayor EO Schäfer H Baneras L Pedros-Alió C Muyzer G.. Identification of and spatio-temporal differences between microbial assemblages from two neighboring sulfurous lakes: comparison by microscopy and denaturing gradient gel electrophoresis. Appl Environ Microb. 2000;66(2):499-508. DOI: 10.1128/AEM.66.2.499-508.2000.
 Berdjeb L Ghligione JF Jacquet S. Bottom-up versus top-down control of hypo- and epilimnion free-living bacterial community structures in two neighboring freshwater lakes. Appl Environ Micob. 2011;77(11):3591-3599. DOI: 10.1128/AEM.02739-10.
 Bukowska A Bielczyńska A Karnkowska A Chróst RJ Jasser I. Molecular (PCR-DGGE) versus morphological approach: analysis of taxonomic composition of potentially toxic cyanobacteria in freshwater lakes. Aquatic Biosystems. 2014;10(2). DOI: 10.1186/2046-9063-10-2.
 Boutte C Grubisic S Balthasart P Wilmotte A. Testing of primers for the study of cyanobacterial molecular diversity by DGGE. J Microbiol Meth. 2006;65:542-550. DOI: 10.1016/j.mimet.2005.09.017.
 Muyzer G de Waal EC Uitterlinden AG. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl Environ Microb. 1993;59(3):695-700.
 Diez B Pedros-Alio C Marsh TL Massana R. Application of denaturing gradient gel electrophoresis (DGGE) to study the diversity of marine picoeukaryotic assemblages and comparison of DGGE with other molecular techniques. Appl Environ Microb. 2001;67(7):2942-2951. DOI: 10.1128/AEM.67.7.2942-2951.2001.
 Eland LE Davenport R Mota CR. Evaluation of DNA extraction methods for freshwater eukaryotic microalgae. Water Res. 2012;46:5355-5364. DOI: 10.1016/j.watres.2012.07.023.
 Jeremiason JD Eisenreich SJ Paterson MJ Beaty KG Hecky R Elser JJ. Biogeochemical cycling of PCBs in lakes of variable trophic status: a paired-lake experiment. Limnol Oceanogr. 1999;44(1):889-902.
 Schmalenberger A Tebbe CC. Bacterial diversity in maize rhizosphere: conclusions on the use of genetic profiles based on PCR-amplified partial small subunit rRNA genes in ecological studies. Mol Ecol. 2003;12(1):251-261. DOI: 10.1046/j.1365-294X.2003.01716.x.
 Schauer M Massana R Pedros-Alió C. Spatial differences in bacterioplankton composition along the Catalan coast (NW Mediterranean) assessed by molecular fingerprinting. FEMS Microbiol Ecol. 2000;33(1):51-59. DOI: 10.1111/j.1574-6941.2000.tb00726.x.