ANALYSIS OF BACTERIOPLANKTON COMMUNITIES IN TENGIZ-KORGALZHYN LAKES SYSTEM USING FULL-LENGTH 16S NANOPORE SEQUENCING DATA
Loading...
Date
2023
Authors
Len, Polina
Journal Title
Journal ISSN
Volume Title
Publisher
School of Sciences and Humanities
Abstract
Tengiz-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.
Description
Keywords
Type of access: Embargo, Tengiz-Korgalzhyn lakes, bacterioplankton communities
Citation
Len, P. (2023). Analysis of bacterioplankton communities in Tengiz-Korgalzhyn lakes system using full-length 16s nanopore sequencing data. School of Sciences and Humanities