ANALYSIS OF BACTERIOPLANKTON COMMUNITIES IN TENGIZ-KORGALZHYN LAKES SYSTEM USING FULL-LENGTH 16S NANOPORE SEQUENCING DATA

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dc.contributor.authorLen, Polina
dc.date.accessioned2023-06-05T11:10:27Z
dc.date.available2023-06-05T11:10:27Z
dc.date.issued2023
dc.description.abstractTengiz-Korgalzhyn Lakes system, designated under the Ramsar Convention and UNESCO World Heritage Sites, is a unique ecosystem of wetlands inhabited by more than a hundred protected and endemic species. In the context of the constant ecological pressure in the area, it is critical to investigate the lake bacterioplankton species and their relationship with abiotic factors, especially since microbiome studies of the region are practically absent in the literature. This study aims to investigate the role of salinity gradient in shaping bacterial communities in lake ecosystems, as well as the extent to which the overall abiotic factor explains the heterogeneity of microbiome composition across the region. Data on microbial communities is based on the full-length 16S amplicons obtained with the MinION mk1c. Species-level classification and analysis are performed in Emu, R , and R Studio, using packages phyloseq and vegan. Our research has confirmed the importance of the salinity gradient in shaping the microbiome composition in limnetic and oligohaline lakes. We have shown that out of all abiotic factors, salinity exerts the most influence on the composition of microbial communities. The abundance of Beta- and Gammaproteobacteria classes changed in parallel with raising salinity levels across all sampling sites: decreasing and increasing, respectively. Moreover, salinity negatively correlated with the community evenness index across distinct small lakes, implying the presence of dominant species. The high degree of variability between isolated water bodies was mainly attributed to the geographical separation.en_US
dc.identifier.citationLen, P. (2023). Analysis of bacterioplankton communities in Tengiz-Korgalzhyn lakes system using full-length 16s nanopore sequencing data. School of Sciences and Humanitiesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7193
dc.language.isoenen_US
dc.publisherSchool of Sciences and Humanitiesen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Embargoen_US
dc.subjectTengiz-Korgalzhyn lakesen_US
dc.subjectbacterioplankton communitiesen_US
dc.titleANALYSIS OF BACTERIOPLANKTON COMMUNITIES IN TENGIZ-KORGALZHYN LAKES SYSTEM USING FULL-LENGTH 16S NANOPORE SEQUENCING DATAen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

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