scholarly journals Bacterial community composition in aquatic and sediment samples with spatiotemporal dynamics in large, shallow, eutrophic Lake Chaohu, China

2019 ◽  
Vol 34 (1) ◽  
pp. 575-589 ◽  
Author(s):  
Lei Zhang ◽  
Tingting Zhao ◽  
Qiao Wang ◽  
Li Li ◽  
Tingting Shen ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Community Composition ◽  
Eutrophic Lake ◽  
Spatiotemporal Dynamics ◽  
Lake Chaohu ◽  
Sediment Samples ◽  
Shallow Eutrophic Lake

Potential Oxygen Consumption and Community Composition of Sediment Bacteria in a Seasonally Hypoxic Enclosed Bay

2021 ◽  
Author(s):  
Fumiaki Mori ◽  
Yu Umezawa ◽  
Ruji Kondo ◽  
Gregory N. Nishihara ◽  
Minoru Wada
Keyword(s):  
Oxygen Consumption ◽  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Community Composition ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Sediment Surface ◽  
Tetrazolium Chloride ◽  
Sediment Samples ◽  
Potential Oxygen

Abstract The dynamics of potential oxygen consumption at the sediment surface in a seasonally hypoxic bay were monitored monthly by applying a tetrazolium dye (2-(4-iodophenyl)-3-(4-nitrophenyl)-5-phenyl-2H-tetrazolium chloride [INT]) reduction assay to intact sediment core samples for two consecutive years (2012–2013). Based on the empirically determined correlation between INT reduction (INT-formazan formation) and actual oxygen consumption of sediment samples, we inferred the relative contribution of biological and non-biological (chemical) processes to the potential whole oxygen consumption in the collected sediment samples. It was demonstrated that both potentials consistently increased and reached a maximum during summer hypoxia in each year. For samples collected in 2012, amplicon sequence variants (ASVs) of the bacterial 16S rRNA genes derived from the sediment surface revealed a notable shift in the bacterial community composition before and after the INT assay incubation. Within the bacterial community that was predominated by the ASVs closely related to Woeseia (Woeseiaceae, Gammaproteobacteria), the relative abundance of ASVs affiliated with Arcobacter (Arcobacteraceae, Campylobacteria), a putative sulfur-oxidizing bacterial genus, increased markedly in the summer samples. These findings have implications not only for the group of bacteria that are consistently responsible for the consumption of dissolved oxygen (DO) year-round in the sediment, but also for those that might grow rapidly in response to episodic DO supply on the sediment surface during midst of seasonal hypoxia.

Effects of benthic macrofauna bioturbation on the bacterial community composition in lake sediments

2014 ◽  
Vol 60 (8) ◽  
pp. 517-524 ◽  
Author(s):  
Jin Zeng ◽  
Da-Yong Zhao ◽  
Peng Liu ◽  
Zhong-Bo Yu ◽  
Rui Huang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Lake Taihu ◽  
Bacterial Community Composition ◽  
Chemical Properties ◽  
Eutrophic Lake ◽  
Benthic Macrofauna ◽  
Chironomidae Larvae ◽  
Culture Independent ◽  
Tubificid Worms

Benthic macrofauna are considered to be an important part of the lacustrine ecosystem, and bioturbation may greatly affect the biogeochemical processes and microbial activities in sediments. In the present study, the bacterial community composition in sediments inhabited by 3 different types of benthic macrofauna (Corbicula fluminea, Chironomidae larvae, and tubificid worms) in the shallow and eutrophic Lake Taihu was studied to investigate the different effects of bioturbation on the composition of these communities. Microcosms were constructed, and culture-independent methods, including terminal restriction fragment length polymorphism (T-RFLP) and clone library analysis, were performed to evaluate the bacterial communities. Analysis of similarities (ANOSIM) and multidimensional scaling (MDS) analysis of T-RFLP patterns demonstrated that differences in the bacterial community composition between the control and the macrofauna-inhabited sediments were not as great as expected, although the chemical properties of the sediments changed remarkably. Nevertheless, the dominant bacterial group in each type of macrofauna-inhabited sediment was different. Acidobacteria, Betaproteobacteria, and Deltaproteobacteria were the dominant bacterial groups in sediments inhabited by C. fluminea, tubificid worms, and Chironomidae larvae, respectively. The data obtained in this study are helpful for understanding the effects of bioturbation in a shallow, eutrophic lake.

Assessment of bacterial community composition in response to uranium levels in sediment samples of sacred Cauvery River

2016 ◽  
Vol 101 (2) ◽  
pp. 831-841 ◽  
Author(s):  
Jayaraman Suriya ◽  
Mootapally Chandra Shekar ◽  
Neelam Mustakali Nathani ◽  
Thangaiyan Suganya ◽  
Subramanian Bharathiraja ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Community Composition ◽  
Cauvery River ◽  
Sediment Samples

scholarly journals Pollution Gradients Altered the Bacterial Community Composition and Stochastic Process of Rural Polluted Ponds

2020 ◽  
Vol 8 (2) ◽  
pp. 311
Author(s):  
Xin Tai ◽  
Rui Li ◽  
Bao Zhang ◽  
Hao Yu ◽  
Xiao Kong ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Microbial Communities ◽  
Community Composition ◽  
Community Assembly ◽  
High Throughput Sequencing ◽  
Bacterial Community Composition ◽  
Rrna Gene ◽  
Sediment Samples ◽  
Pollution Levels ◽  
Water And Sediment

Understanding the effects of pollution on ecological communities and the underlying mechanisms that drive them will helpful for selecting a method to mediate polluted ecosystems. Quantifying the relative importance of deterministic and stochastic processes is a very important issue in ecology. However, little is known about their effects on the succession of microbial communities in different pollution levels rural ponds. Also, the processes that govern bacterial communities in polluted ponds are poorly understood. In this study, the microbial communities in water and sediment from the ponds were investigated by using the 16S rRNA gene high-throughput sequencing technology. Meanwhile, we used null model analyses based on a taxonomic and phylogenetic metrics approach to test the microbial community assembly processes. Pollution levels were found to significantly alter the community composition and diversity of bacteria. In the sediment samples, the bacterial diversity indices decreased with increasing pollutant levels. Between-community analysis revealed that community assembly processes among water and sediment samples stochastic ratio both gradually decreased with the increased pollution levels, indicating a potential deterministic environmental filtering that is elicited by pollution. Our results identified assemblage drivers of bacterial community is important for improving the efficacies of ecological evaluation and remediation for contaminated freshwater systems.

DNA extraction procedure affects organic-aggregate-attached bacterial community profiles from a shallow eutrophic lake

2009 ◽  
Vol 55 (6) ◽  
pp. 776-782 ◽  
Author(s):  
Xiangming Tang ◽  
Guang Gao ◽  
Liping Zhu ◽  
Jianying Chao ◽  
Boqiang Qin
Keyword(s):  
Bacterial Community ◽  
Dna Extraction ◽  
Bacterial Communities ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Lake Taihu ◽  
Bacterial Community Composition ◽  
Extraction Procedure ◽  
Eutrophic Lake ◽  
Hexadecyltrimethylammonium Bromide ◽  
Shallow Eutrophic Lake

Organic aggregates (OA) in aquatic ecosystems harbour diverse microbial communities. The colonization and growth of OA-attached bacteria are important processes in the degradation and transformation of the particles. The development of efficient and comparative DNA extraction methods is one of the most critical steps in the study of the composition and diversity of OA-attached bacterial communities. To evaluate whether different DNA extraction procedures affect the measurement of bacterial community composition, we compared four in situ lysis procedures using OA from three locations in a shallow eutrophic lake (Lake Taihu, China). The extracted DNA was analyzed using denaturing gradient gel electrophoresis profiles. We found that the choice of DNA extraction protocol had a significant influence on the fingerprints of the OA-attached bacterial community. This was shown not only in the number of bands but also in their relative representation of certain DNA bands. Using the bead-beating DNA extraction method in the presence of hexadecyltrimethylammonium bromide, we found that crude microbial DNA could be extracted efficiently from different OA types. This protocol is reproducible and gives very pure DNA of relatively high molecular mass. More importantly, the protocol provided more representative and informative data on the diversity of OA-attached bacterial communities.

scholarly journals Collection of Environmental Variables and Bacterial Community Compositions in Marian Cove, Antarctica, during Summer 2018

Data ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 27
Author(s):  
Hyo-Ryeon Kim ◽  
Jae-Hyun Lim ◽  
Ju-Hyoung Kim ◽  
Il-Nam Kim
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Marine Bacteria ◽  
Environmental Variables ◽  
Environmental Changes ◽  
Bacterial Community Composition ◽  
Composition Data ◽  
Decomposition Of Organic Matter ◽  
Class Level ◽  
Earth’S Climate

Marine bacteria, which are known as key drivers for marine biogeochemical cycles and Earth’s climate system, are mainly responsible for the decomposition of organic matter and production of climate-relevant gases (i.e., CO₂, N₂O, and CH₄). However, research is still required to fully understand the correlation between environmental variables and bacteria community composition. Marine bacteria living in the Marian Cove, where the inflow of freshwater has been rapidly increasing due to substantial glacial retreat, must be undergoing significant environmental changes. During the summer of 2018, we conducted a hydrographic survey to collect environmental variables and bacterial community composition data at three different layers (i.e., the seawater surface, middle, and bottom layers) from 15 stations. Of all the bacterial data, 17 different phylum level bacteria and 21 different class level bacteria were found and Proteobacteria occupy 50.3% at phylum level following Bacteroidetes. Gammaproteobacteria and Alphaproteobacteria, which belong to Proteobacteria, are the highest proportion at the class level. Gammaproteobacteria showed the highest relative abundance in all three seawater layers. The collection of environmental variables and bacterial composition data contributes to improving our understanding of the significant relationships between marine Antarctic regions and marine bacteria that lives in the Antarctic.

scholarly journals Artificial neural network analysis of microbial diversity in the central and southern Adriatic Sea

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Danijela Šantić ◽  
Kasia Piwosz ◽  
Frano Matić ◽  
Ana Vrdoljak Tomaš ◽  
Jasna Arapov ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Analysis ◽  
Bacterial Community ◽  
Microbial Diversity ◽  
Community Composition ◽  
Adriatic Sea ◽  
Bacterial Community Composition ◽  
Environmental Data ◽  
Large Contribution ◽  
Neural Network Analysis

AbstractBacteria are an active and diverse component of pelagic communities. The identification of main factors governing microbial diversity and spatial distribution requires advanced mathematical analyses. Here, the bacterial community composition was analysed, along with a depth profile, in the open Adriatic Sea using amplicon sequencing of bacterial 16S rRNA and the Neural gas algorithm. The performed analysis classified the sample into four best matching units representing heterogenic patterns of the bacterial community composition. The observed parameters were more differentiated by depth than by area, with temperature and identified salinity as important environmental variables. The highest diversity was observed at the deep chlorophyll maximum, while bacterial abundance and production peaked in the upper layers. The most of the identified genera belonged to Proteobacteria, with uncultured AEGEAN-169 and SAR116 lineages being dominant Alphaproteobacteria, and OM60 (NOR5) and SAR86 being dominant Gammaproteobacteria. Marine Synechococcus and Cyanobium-related species were predominant in the shallow layer, while Prochlorococcus MIT 9313 formed a higher portion below 50 m depth. Bacteroidota were represented mostly by uncultured lineages (NS4, NS5 and NS9 marine lineages). In contrast, Actinobacteriota were dominated by a candidatus genus Ca. Actinomarina. A large contribution of Nitrospinae was evident at the deepest investigated layer. Our results document that neural network analysis of environmental data may provide a novel insight into factors affecting picoplankton in the open sea environment.

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