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The objectives of this study are to monitor the physicochemical properties of two freshwater lakes with different chemical characteristics and trophic status over a year (2019) and assess the bacterial diversity by a high-throughput sequencing method for a certain time. Carlson Trophic Index analysis revealed that, whereas the deep lake, Iznik Lake, (TSImean = 48.9) has mesotrophic characteristics, the shallow lake Manyas Lake (TSImean = 74.2) was found at a hypertrophic status. The most important parameters controlling water qualities in the lakes were temperature, alkalinity, and phosphate levels. Although the bacterial communities were dominated by the same phyla (Cyanobacteria, Bacteroidetes, Actinomicrobia, Proteobacteria, and Verrucomicrobia) in both lakes, the communities differed distinctly at the lower levels. Whereas Sporichthyaceae in Manyas Lake accounted for 10% of the total reads, the major share of the sequences was assigned to Cyanobacteria Family I (8%) in Iznik Lake. The hypertrophic Manyas Lake had a more diverse bacterial community rather than Iznik Lake and contained higher numbers of unique Operational Taxonomic Units.
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Environmental Management (2021) 67:506512
https://doi.org/10.1007/s00267-020-01357-7
Contrasting the Water Quality and Bacterial Community Patterns in
Shallow and Deep Lakes: Manyas vs. Iznik
E. Gozde Ozbayram 1Latife Koker 1Reyhan Akçaalan 1Fatih Aydın1Ali Ertürk 1Orhan Ince 2
Meriç Albay 1
Received: 12 May 2020 / Accepted: 28 August 2020 / Published online: 5 September 2020
© Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
The objectives of this study are to monitor the physicochemical properties of two freshwater lakes with different chemical
characteristics and trophic status over a year (2019) and assess the bacterial diversity by a high-throughput sequencing
method for a certain time. Carlson Trophic Index analysis revealed that, whereas the deep lake, Iznik Lake, (TSImean =48.9)
has mesotrophic characteristics, the shallow lake Manyas Lake (TSImean =74.2) was found at a hypertrophic status. The
most important parameters controlling water qualities in the lakes were temperature, alkalinity, and phosphate levels.
Although the bacterial communities were dominated by the same phyla (Cyanobacteria, Bacteroidetes, Actinomicrobia,
Proteobacteria, and Verrucomicrobia) in both lakes, the communities differed distinctly at the lower levels. Whereas
Sporichthyaceae in Manyas Lake accounted for 10% of the total reads, the major share of the sequences was assigned to
Cyanobacteria Family I (8%) in Iznik Lake. The hypertrophic Manyas Lake had a more diverse bacterial community rather
than Iznik Lake and contained higher numbers of unique Operational Taxonomic Units.
Keywords Bacterial community Illumina®MiSeqWater quality 16S rRNA Manyas Lake İznik Lake
Introduction
Freshwater lakes have critical roles in ecological and eco-
nomic perspectives, whereas it is a habitat for a diverse
biological community, it is also a resource for human
consumption (Ma et al. 2018). In these ecosystems, bacteria
play a vital role in ecosystem services and have an impact
on water quality (Newton et al. 2011) in which the prole is
highly dependent on biotic factors and physicochemical
characterization of the water (Zwirglmaier et al. 2015).
Although, the bacterial community is fundamental for
ecosystem processes, much uncertainty still exists about the
diversity and function in the lake ecosystems.
Determination of water quality is a great concern for the
lakes indicating the health of the ecosystem as well as the
source of nutrient and pollutant loads (Wang et al. 2019).
Lakes can be classied into three trophic status regarding
their biological activity namely; oligotrophic, mesotrophic,
and eutrophic lakes (Feng et al. 2019) in which the trophic
status of the lakes gives information about the function and
current structure of the lakes and enables to predict future
trends (Wang et al. 2019). Moreover water quality is a key
factor affecting the bacterial community patterns and
diversity. Environmental variables such as temperature, pH,
nutrient concentrations alter bacterial community structure
in the freshwater lakes (Feng et al. 2019).
Recent developments on next-generation sequencing
methods resulted to have high-quality data, which enables
deep characterization of complex microbial communities
and considerable literature has grown up to increase our
understanding of the microbial community compositions of
freshwater habitats by metagenomic analyses (Diao et al.
2017; Ji et al. 2018).
There are 200 natural lakes in Turkey. Although water
quality and cyanobacterial diversity monitoring have been
conducted in some of those lakes (Albay and Akcaalan
2003; Akcaalan et al. 2009), much less is known about the
*E. Gozde Ozbayram
gozde.ozbayram@istanbul.edu.tr
1Department of Marine and Freshwater Resources Management,
Faculty of Aquatic Sciences, Istanbul University, Fatih,
34134 Istanbul, Turkey
2Department of Environmental Engineering, Faculty of Civil
Engineering, Istanbul Technical University, Maslak,
34469 Istanbul, Turkey
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