Assessment of viral assemblages in different types of wetland water in northeast China using RAPD-PCR

2020 ◽  
Vol 85 ◽  
pp. 183-196
Author(s):  
Y Sun ◽  
J Liu ◽  
Q Yao ◽  
J Jin ◽  
X Liu ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Water Samples ◽  
Northeast China ◽  
Bacterial Community Composition ◽  
Freshwater Wetlands ◽  
Viral Community ◽  
Rapd Pcr ◽  
Wetland Water ◽  
Different Types ◽  
Viral Communities

Viruses are the most abundant and ubiquitous biological entities in various ecosystems, yet few investigations of viral communities in wetlands have been performed. To address this data gap, water samples from 6 wetlands were randomly collected across northeast China; viruses in the water were concentrated by sequential tangential flow filtration, and viral communities were assessed through randomly amplified polymorphic DNA-PCR (RAPD-PCR) with 4 decamer oligonucleotide primers. Principal coordinate analysis and hierarchical clustering analysis of the DNA fingerprints showed that viral community compositions differed among the water samples: communities in the 2 coastal wetlands were more similar to each other than to those in the 4 freshwater wetlands. The Shannon-Weaver index (H) and evenness index (E) of the RAPD-PCR fingerprint also differed among the 6 wetlands. Mantel test revealed that the changes in viral communities in wetland water were most closely related to the water NH4+-N and inorganic C content, followed by total K, P, C and NO3--N. DNA sequence analysis of the excised bands revealed that viruses accounted for ~40% of all sequences. Among the hit viral homologs, the majority belonged to the Microviridae. Moreover, variance partitioning analysis showed that the viral community contributed 24.58% while environmental factors explained 30.56% of the bacterial community variation, indicating that the bacterial community composition was strongly affected by both viral community and water variables. This work provides an initial outline of the viral communities from different types of wetlands in northeast China and improves our understanding of the viral diversity in these ecosystems.

scholarly journals Bacterial Communities Associated With Penaeus vannamei Boone, 1931 Surface and Its Rearing Water in Biofloc Culture System

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
PALLAVI BALIGA ◽  
PUNEETH THADOORU GOOLAPPA ◽  
MALATHI SHEKAR ◽  
S.K. GIRISHA ◽  
RAMESH K.S. ◽  
...  
Keyword(s):  
Water Quality ◽  
Bacterial Community ◽  
Water Samples ◽  
Bacterial Communities ◽  
Culture System ◽  
Bacterial Community Composition ◽  
Pond Water ◽  
Penaeus Vannamei ◽  
Shrimp Culture ◽  
Surface Samples

The biofloc system is an ecologically sustainable shrimp culture system. The conglomerates of beneficial bacteria, algae and protozoa in pond water serve as a water quality management system and as a feed additive to the shrimps. This study aimed to characterise the microbial communities associated with the biofloc pond water and the surface of Penaeus vannamei Boone, 1931, reared in it using the Illumina Miseq sequencing technology. The multiple alpha diversity measures indicated the shrimp surface samples to be richer in diversity than the pond water samples. Analysis of the bacterial community revealed that Proteobacteria, Bacteroidetes, Planctomycetes and Cyanobacteria formed the principal phyla. There was a shift in the relative abundance of bacterial communities at each time point. The operational taxonomic units (OTU) analyses revealed that 18.38 % OTUs were shared by the pond water samples, the shrimp surface samples shared 29.35 % at the three different time points. PICRUST analysis revealed that the bacterial communities in the biofloc rearing water, and shrimp surface, were likely involved in intensive microbial metabolism and core housekeeping functions. The information generated will help understand the bacterial community composition associated with optimal water quality and shrimp health in a biofloc culture system.

scholarly journals Direct Assessment of Viral Diversity in Soils by Random PCR Amplification of Polymorphic DNA

2013 ◽  
Vol 79 (18) ◽  
pp. 5450-5457 ◽  
Author(s):  
Sharath Srinivasiah ◽  
Jacqueline Lovett ◽  
Shawn Polson ◽  
Jaysheel Bhavsar ◽  
Dhritiman Ghosh ◽  
...  
Keyword(s):  
Community Dynamics ◽  
Ecological Impact ◽  
Pcr Amplification ◽  
Community Diversity ◽  
Metagenomic Sequencing ◽  
Metagenomic Sequence ◽  
Antarctic Soils ◽  
Viral Community ◽  
Rapd Pcr ◽  
Viral Communities

ABSTRACTViruses are the most abundant and diverse biological entities within soils, yet their ecological impact is largely unknown. Defining how soil viral communities change with perturbation or across environments will contribute to understanding the larger ecological significance of soil viruses. A new approach to examining the composition of soil viral communities based on random PCR amplification of polymorphic DNA (RAPD-PCR) was developed. A key methodological improvement was the use of viral metagenomic sequence data for the design of RAPD-PCR primers. This metagenomically informed approach to primer design enabled the optimization of RAPD-PCR sensitivity for examining changes in soil viral communities. Initial application of RAPD-PCR viral fingerprinting to soil viral communities demonstrated that the composition of autochthonous soil viral assemblages noticeably changed over a distance of meters along a transect of Antarctic soils and across soils subjected to different land uses. For Antarctic soils, viral assemblages segregated upslope from the edge of dry valley lakes. In the case of temperate soils at the Kellogg Biological Station, viral communities clustered according to land use treatment. In both environments, soil viral communities changed along with environmental factors known to shape the composition of bacterial host communities. Overall, this work demonstrates that RAPD-PCR fingerprinting is an inexpensive, high-throughput means for addressing first-order questions of viral community dynamics within environmental samples and thus fills a methodological gap between narrow single-gene approaches and comprehensive shotgun metagenomic sequencing for the analysis of viral community diversity.

scholarly journals Bacterial Community Composition in Produced Water of Diyarbakır Oil Fields in Turkey : Bacterial communities in produced waters of south-eastern Turkey reported in detail for the first time

2020 ◽  
Vol 64 (4) ◽  
pp. 452-466
Author(s):  
Tuğçe Tüccar ◽  
Esra Ilhan-Sungur ◽  
Gerard Muyzer
Keyword(s):  
Bacterial Community ◽  
Water Samples ◽  
Bacterial Communities ◽  
Produced Water ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Bacterial Community Composition ◽  
Oil Fields ◽  
Rrna Gene ◽  
Gradient Gel Electrophoresis ◽  
First Time

Oil fields harbour a wide variety of microorganisms with different metabolic capabilities. To examine the microbial ecology of petroleum reservoirs, a molecular-based approach was used to assess the composition of bacterial communities in produced water of Diyarbakır oil fields in Turkey. Denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR)-amplified 16S rRNA gene fragments was performed to characterise the bacterial community structure of produced water samples and to identify predominant community members after sequencing of separated DGGE bands. The majority of bacterial sequences retrieved from DGGE analysis of produced water samples belonged to unclassified bacteria (50%). Among the classified bacteria, Proteobacteria (29.2%), Firmicutes (8.3%), Bacteroidetes (8.3%) and Actinobacteria (4.2%) groups were identified. Pseudomonas was the dominant genus detected in the produced water samples. The results of this research provide, for the first time, insight into the complexity of microbial communities in the Diyarbakır oil reservoirs and their dominant constituents.

Enumeration of Cryptosporidium oocysts from surface water concentrates by laser-scanning cytometry

2000 ◽  
Vol 41 (7) ◽  
pp. 197-202 ◽  
Author(s):  
F. Zanelli ◽  
B. Compagnon ◽  
J. C. Joret ◽  
M. R. de Roubin
Keyword(s):  
Surface Water ◽  
Water Samples ◽  
Laser Scanning ◽  
Immunomagnetic Separation ◽  
Entire Surface ◽  
Cryptosporidium Oocysts ◽  
Different Types ◽  
Laser Scanning Cytometry ◽  
Direct Microscopic Observation

The utilization of the ChemScan® RDI was tested for different types of water concentrates. Concentrates were prepared by cartridge filtration or flocculation, and analysed either without purification, or after Immunomagnetic separation (IMS) or flotation on percoll-sucrose gradients. Theenumeration of the oocysts was subsequently performed using the ChemScan® RDI Cryptosporidium application. Enumeration by direct microscopic observation of the entire surface of the membrane was carried out as a control, and recoveries were calculated as a ratio between the ChemScan® RDI result and the result obtained with direct microscopic enumeration. The Chemscan enumeration technique proved reliable, with recoveries yielding close to 100% in most cases (average 125%, range from 86 to 467%) for all the concentration/purification techniques tested. The quality of the antibodies was shown to be critical, with antibodies from some suppliers yielding recoveries a low as 10% in some cases. This difficulty could, however, be overcome by the utilization of the antibody provided by Chemunex. These data conclusively prove that laser scanning cytometry, which greatly facilitates the microscopic enumeration of Cryptosporidium oocysts from water samples and decreases the time of observation by four to six times, can be successfully applied to water concentrates prepared from a variety of concentration/purification techniques.

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.

scholarly journals Comparison of viromes in vaginal secretion from pregnant women with and without vaginitis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
He-Teng Zhang ◽  
Hao Wang ◽  
Hai-Sheng Wu ◽  
Jian Zeng ◽  
Yan Yang
Keyword(s):  
Human Papillomavirus ◽  
Bacterial Community ◽  
Pregnant Women ◽  
Sequence Comparison ◽  
Pairwise Sequence Comparison ◽  
Vaginal Secretion ◽  
The Family ◽  
Complete Genomes ◽  
Different Types ◽  
Vaginal Tract

Abstract Background Although some studies have investigated the bacterial community in vaginal tract of pregnant women, there are few reports about the viral community (virome) in this type of microenvironment. Methods To investigate the composition of virome in vaginal secretion samples, 40 vaginal secretion samples from pregnant women with vaginitis and 20 vaginal secretion samples from pregnant women without vaginitis, pooled into 4 and 2 sample pools, respectively, were subjected to viral metagenomic analysis. Results Results indicated virus sequences showing similarity to human papillomavirus (HPV), anellovirus, and norovirus were recovered from this cohort of pregnant women. Further analysis indicated that 15 different defined types and one unclassified type of HPV were detected from pregnant women with vaginitis while only 3 defined types of HPV were detected in pregnant women without vaginitis. Five different groups of viruses from the family Anelloviridae were present in pregnant women with but none of them were detected in pregnant women without vaginitis. Norovirus was detected in 3 out of the 4 sample pools from pregnant women with vaginitis but none in the pregnant women without vaginitis. Twelve complete genomes belonging to 10 different types of HPV, and 5 novel anllovirus genomes belonging 2 different genera in Anelloviridae were acquired from these libraries, based on which phylogenetical analysis and pairwise sequence comparison were performed. Phageome in these samples was also briefly characterized and compared between two groups. Conclusion Our data suggested that virome might play an important role in the progression of vaginitis in pregnant women.

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