Abstract
Water temperature is one of mainly the seasonal dynamics influencing microbial quality in aquatic ecosystems; however, discerning the interaction betweeen temperature and bacterial diversity is challenging. To address this issue, we characterized the microbial community of surface waters obtained from November month (in 1990 and 2020) with of average 1 °C temperature increase at the Kilis, Türkiye by the 16S rRNA gene sequencing. Bacterial communities indicated high similarities in the relative abundances of dominant taxa (Proteobacteria) for both sampling sites. Our findings highlighted that temperature change favored the duplication of opportunistic thermotolerant bacteria, including total coliform and E.coli which may increase waterborne-disease. This study provides comprehensive information about phylogenetic diversity, quantitatively assessing indicator microorganisms and the physicochemical potential of water quality within two surface waters in Kilis. Our climatic data estimates to be the November average rate of 2.5 °C/increase associated with air temperature of Kilis region for next 30 years. The current study is the first exploration to combine climate change with molecular approaches to predict how bacterial concentrations in aquatic environments may change in future based on long-term air temperature increase for Kilis region.
Acknowledgments
We thank Assistant of Prof. Dr. Mehmet KOC for qPCR analysis and Kilis 7 Aralık University Scientific Research Project Committee (Project No: 12832) for research support.
Authors’ contributions
All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Hatice Aysun Mercimek Takci, Aysenur Kaya, Kıvılcım Caktu Guler, and Sevil Toplar. The first draft of the manuscript was written by Hatice Aysun Mercimek Takci and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Disclosure statement
The authors have no relevant financial or non-financial interests to disclose.
Data availability statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.