Vertical Variations in Bacterial Community Composition and Environmental Factors in the Culture Pond Sediment of Sea Cucumber Apostichopus Japonicus

2018 ◽  
Vol 84 ◽  
pp. 69-76 ◽  
Author(s):  
Xinfang Lv ◽  
Pei Yu ◽  
Weiteng Mao ◽  
Yuchun Li
Keyword(s):  
Environmental Factors ◽  
Bacterial Community ◽  
Community Composition ◽  
Sea Cucumber ◽  
Apostichopus Japonicus ◽  
Bacterial Community Composition ◽  
Pond Sediment ◽  
Vertical Variations

Interactions between chemical and environmental factors and bacterial community composition in a Great Lakes watershed

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Carolyn Cooper ◽  
Idgena DeLoach ◽  
John McMorris ◽  
Adam Slater ◽  
Sarah Brokus ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Bacterial Community ◽  
Great Lakes ◽  
Community Composition ◽  
Bacterial Community Composition

scholarly journals Abiotic environmental factors override phytoplankton succession in shaping both free-living and attached bacterial communities in a highland lake

AMB Express ◽  
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Huan Wang ◽  
Rong Zhu ◽  
Xiaolin Zhang ◽  
Yun Li ◽  
Leyi Ni ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Bacterial Community ◽  
Species Composition ◽  
Community Composition ◽  
Bacterial Communities ◽  
Phytoplankton Community ◽  
Bacterial Community Composition ◽  
Free Living ◽  
The Impact ◽  
Abiotic Environmental Factors

Abstract Bacterial communities are an important part of biological diversity and biogeochemical cycling in aquatic ecosystems. In this study, the relationship amongst the phytoplankton species composition and abiotic environmental factors on seasonal changes in the community composition of free-living and attached bacteria in Lake Erhai were studied. Using Illumina high-throughput sequencing, we found that the impact of environmental factors on both the free-living and attached bacterial community composition was greater than that of the phytoplankton community, amongst which total phosphorus, Secchi disk, water temperature, dissolved oxygen and conductivity strongly influenced bacterial community composition. Microcystis blooms associated with subdominant Psephonema occurred during the summer and autumn, and Fragilaria, Melosira and Mougeotia were found at high densities in the other seasons. Only small numbers of algal species-specific bacteria, including Xanthomonadaceae (Proteobacteria) and Alcaligenaceae (Betaproteobacteria), were tightly coupled to Microcystis and Psephonema during Microcystis blooms. Redundancy analysis showed that although the composition of the bacterial communities was controlled by species composition mediated by changes in phytoplankton communities and abiotic environmental factors, the impact of the abiotic environment on both free-living and attached bacterial community compositions were greater than the impact of the phytoplankton community. These results suggest that the species composition of both free-living and attached bacterial communities are affected by abiotic environmental factors, even when under strong control by biotic factors, particularly dominant genera of Microcystis and Psephonema during algal blooms.

scholarly journals Bacterial Community Composition and Environmental Factors in a Hypereutrophic Watershed

2019 ◽  
Vol 33 (S1) ◽  
Author(s):  
Carolyn Cooper ◽  
Christopher Belica ◽  
Abby Pearch ◽  
Eric Schumann ◽  
Sarah Brokus ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Community Composition

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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